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@@ -1,239 +0,0 @@
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||||
<!-- wp:paragraph -->
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||||
<p><strong>v4.6.113</strong> — three Python packages, strict dependency direction, and <strong>C8 complete</strong>: reverse wrapper imports eliminated from <code>praisonai-code</code>. Tap the diagrams; tables hold the rules.</p>
|
||||
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|
||||
|
||||
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|
||||
<blockquote class="wp-block-quote"><p><strong>One rule (unchanged):</strong> <code>praisonai-code</code> never lists <code>praisonai</code> in <code>pyproject.toml</code>. Wrapper access is <strong>bridge-only</strong> via <code>_wrapper_bridge</code> — zero direct <code>from praisonai</code> imports remain.</p></blockquote>
|
||||
<!-- /wp:quote -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">✅ C8 validation summary</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Plan target</th><th>Before (C7.1)</th><th>After (C8 / v4.6.113)</th><th>Verdict</th></tr></thead><tbody><tr><td>Wrapper import lines</td><td>225</td><td><strong>0</strong></td><td>✅ Exceeded (~40–60 floor)</td></tr><tr><td>Allowlisted files</td><td>47</td><td><strong>0</strong> (empty)</td><td>✅</td></tr><tr><td>Regression baseline</td><td>225</td><td><strong>50</strong> (headroom gate)</td><td>✅</td></tr><tr><td>No PyPI dep on wrapper</td><td>Yes</td><td>Yes</td><td>✅</td></tr><tr><td>Hot path standalone</td><td>Yes</td><td>Yes</td><td>✅</td></tr><tr><td><code>main.py</code> ≤ 300 lines</td><td>7,454 lines</td><td>~7,492 lines</td><td>⏳ Partial — legacy helpers extracted; full decompose deferred</td></tr><tr><td>PyPI splits (bot/frameworks)</td><td>Out of scope</td><td>Out of scope</td><td>—</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:paragraph -->
|
||||
<p><strong>Shipped:</strong> PR <a href="https://github.com/MervinPraison/PraisonAI/pull/2590">#2590</a> merged · Release <a href="https://github.com/MervinPraison/PraisonAI/releases/tag/v4.6.113">v4.6.113</a></p>
|
||||
<!-- /wp:paragraph -->
|
||||
|
||||
<!-- wp:heading {"level":3} -->
|
||||
<h3 class="wp-block-heading">What C8 moved (repatriation)</h3>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Phase</th><th>What happened</th><th>Status</th></tr></thead><tbody><tr><td><strong>C8.1</strong></td><td><code>_WRAPPER_RESIDENT_COMMANDS</code>, import-gate regex fix, boundary tests</td><td>✅ Done</td></tr><tr><td><strong>C8.2</strong></td><td>Commands → wrapper: langfuse, train, docs, serve bridge, n8n, replay, …</td><td>✅ Done</td></tr><tr><td><strong>C8.3</strong></td><td>Features → wrapper: recipe, templates, deploy, eval, registry, …</td><td>✅ Done</td></tr><tr><td><strong>C8.4</strong></td><td><code>praisonai/cli/legacy/</code> + <code>prompt_dispatch.py</code> in code</td><td>✅ Partial</td></tr><tr><td><strong>C8.5</strong></td><td>Bridge normalisation + <code>TemplateStore</code> / <code>SessionStore</code> / <code>ServeHandler</code> protocols</td><td>✅ Done</td></tr></tbody></table></figure>
|
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<hr class="wp-block-separator has-alpha-channel-opacity"/>
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||||
<h2 class="wp-block-heading">📦 Three tiers at a glance</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:merpress/mermaidjs {"align":"full"} -->
|
||||
<div class="wp-block-merpress-mermaidjs diagram-source-mermaid alignfull"><pre class="mermaid">%%{init: {"theme": "base", "themeVariables": {"background": "transparent", "lineColor": "#000000"}}}%%
|
||||
flowchart TB
|
||||
subgraph tier1 ["Tier 1 — Core SDK"]
|
||||
Agents["praisonaiagents<br/>Agent, tools, memory, hooks, protocols"]
|
||||
end
|
||||
subgraph tier2 ["Tier 2 — Terminal CLI"]
|
||||
Code["praisonai-code<br/>run, chat, code, Typer, runtime"]
|
||||
end
|
||||
subgraph tier3 ["Tier 3 — Wrapper"]
|
||||
Wrapper["praisonai<br/>gateway, bots, framework_adapters, repatriated CLI"]
|
||||
end
|
||||
Agents --> Code
|
||||
Agents --> Wrapper
|
||||
Code -.->|"bridge only<br/>0 direct imports"| Wrapper
|
||||
classDef agent fill:#8B0000,color:#fff
|
||||
classDef tool fill:#189AB4,color:#fff
|
||||
classDef decision fill:#444,color:#fff
|
||||
class Agents agent
|
||||
class Code tool
|
||||
class Wrapper decision
|
||||
</pre></div>
|
||||
<!-- /wp:merpress/mermaidjs -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Tier</th><th>Package</th><th>Owns</th><th>Version (v4.6.113)</th></tr></thead><tbody><tr><td><strong>1</strong></td><td><code>praisonaiagents</code></td><td>Agent, tools, memory, hooks, CLI protocols (C8.5)</td><td>1.6.113</td></tr><tr><td><strong>2</strong></td><td><code>praisonai-code</code></td><td><code>run</code>, <code>chat</code>, <code>code</code>, Typer hot path, bridge</td><td>0.0.11</td></tr><tr><td><strong>3</strong></td><td><code>praisonai</code></td><td>bots, gateway, adapters, repatriated commands/features</td><td>4.6.113</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:heading {"level":3} -->
|
||||
<h3 class="wp-block-heading">Tier 1 — <code>praisonaiagents</code></h3>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Module</th><th>What it does</th></tr></thead><tbody><tr><td><code>agent/</code></td><td>Agent class, execution, handoffs</td></tr><tr><td><code>tools/</code></td><td><code>@tool</code>, BaseTool, registry</td></tr><tr><td><code>memory/</code>, <code>hooks/</code>, <code>llm/</code></td><td>Memory, events, model routing</td></tr><tr><td><code>frameworks/</code></td><td>Protocols only — not CrewAI/AutoGen impls</td></tr><tr><td><code>cli/protocols.py</code></td><td><strong>C8.5:</strong> TemplateStore, SessionStore, ServeHandler protocols</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:heading {"level":3} -->
|
||||
<h3 class="wp-block-heading">Tier 2 — <code>praisonai-code</code></h3>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Component</th><th>What it does</th></tr></thead><tbody><tr><td><code>run/chat/code</code></td><td>Agentic hot path — standalone, strict gate</td></tr><tr><td><code>cli/app.py</code></td><td>Typer router + <code>_WRAPPER_RESIDENT_COMMANDS</code></td></tr><tr><td><code>_wrapper_bridge.py</code></td><td><strong>Only</strong> path to wrapper modules (string-based lazy import)</td></tr><tr><td><code>cli/commands/serve.py</code></td><td>SDK serve + bridge to wrapper gateway/endpoints</td></tr><tr><td><code>cli/features/doctor/</code></td><td>Health checks; wrapper checks SKIP if standalone</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:heading {"level":3} -->
|
||||
<h3 class="wp-block-heading">Tier 3 — <code>praisonai</code> (now owns repatriated CLI)</h3>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Component</th><th>What it does</th></tr></thead><tbody><tr><td><code>cli/commands/*</code></td><td>bot, gateway, train, langfuse, docs, n8n, replay, …</td></tr><tr><td><code>cli/features/*</code></td><td>recipe, templates, deploy, eval, serve orchestration</td></tr><tr><td><code>cli/legacy/</code></td><td>inbuilt_tools, framework_run (C8.4)</td></tr><tr><td><code>bots/</code>, <code>gateway/</code></td><td>Multi-platform bot orchestration</td></tr><tr><td><code>framework_adapters/</code></td><td>CrewAI, AutoGen, registry</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:separator -->
|
||||
<hr class="wp-block-separator has-alpha-channel-opacity"/>
|
||||
<!-- /wp:separator -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">🔀 CLI routing</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:merpress/mermaidjs {"align":"full"} -->
|
||||
<div class="wp-block-merpress-mermaidjs diagram-source-mermaid alignfull"><pre class="mermaid">%%{init: {"theme": "base", "themeVariables": {"background": "transparent", "lineColor": "#000000"}}}%%
|
||||
flowchart LR
|
||||
User[User] --> Entry{Entry}
|
||||
Entry -->|praisonai-code| Hot["run / chat / code"]
|
||||
Entry -->|praisonai| Router[Typer router]
|
||||
Router --> App[praisonai_code.cli.app]
|
||||
Router --> Legacy[Legacy YAML]
|
||||
App --> Resident{_WRAPPER_RESIDENT?}
|
||||
Resident -->|yes + wrapper| WrapCmd[praisonai.cli.commands.*]
|
||||
Resident -->|no| CodeCmd[praisonai_code.cli.commands.*]
|
||||
Resident -->|no wrapper| Hide[Hidden from help]
|
||||
classDef agent fill:#8B0000,color:#fff
|
||||
classDef tool fill:#189AB4,color:#fff
|
||||
classDef decision fill:#444,color:#fff
|
||||
class Hot tool
|
||||
class WrapCmd decision
|
||||
class Resident decision
|
||||
</pre></div>
|
||||
<!-- /wp:merpress/mermaidjs -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Command type</th><th>Loaded from</th><th>Standalone?</th></tr></thead><tbody><tr><td><code>run</code>, <code>chat</code>, <code>code</code></td><td><code>praisonai_code</code></td><td>✅</td></tr><tr><td><code>bot</code>, <code>gateway</code>, <code>train</code>, …</td><td><code>praisonai.cli.commands.*</code></td><td>❌ hidden</td></tr><tr><td>Legacy YAML / <code>--framework crewai</code></td><td><code>cli/main.py</code> + bridge</td><td>❌</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:quote -->
|
||||
<blockquote class="wp-block-quote"><p><strong>C8 change:</strong> 30+ commands are <code>_WRAPPER_RESIDENT</code> — implementation lives only in the wrapper; code package routes lazily with no duplicate modules.</p></blockquote>
|
||||
<!-- /wp:quote -->
|
||||
|
||||
<!-- wp:separator -->
|
||||
<hr class="wp-block-separator has-alpha-channel-opacity"/>
|
||||
<!-- /wp:separator -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">🌉 Bridge-only access (post-C8)</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:merpress/mermaidjs {"align":"full"} -->
|
||||
<div class="wp-block-merpress-mermaidjs diagram-source-mermaid alignfull"><pre class="mermaid">%%{init: {"theme": "base", "themeVariables": {"background": "transparent", "lineColor": "#000000"}}}%%
|
||||
sequenceDiagram
|
||||
participant Code as praisonai_code
|
||||
participant Bridge as _wrapper_bridge
|
||||
participant Wrap as praisonai
|
||||
Code->>Bridge: import_wrapper_module("praisonai.cli.features.serve")
|
||||
alt wrapper installed
|
||||
Bridge->>Wrap: importlib.import_module
|
||||
Wrap-->>Code: module handle
|
||||
else standalone
|
||||
Bridge-->>Code: ImportError + pip install praisonai hint
|
||||
end
|
||||
</pre></div>
|
||||
<!-- /wp:merpress/mermaidjs -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Before C8</th><th>After C8</th></tr></thead><tbody><tr><td>225 direct <code>from praisonai</code> lines</td><td><strong>0</strong> — all bridge string imports</td></tr><tr><td>47 allowlisted files</td><td><strong>0</strong> — empty allowlist</td></tr><tr><td>Duplicate command copies in code + wrapper</td><td>Single impl in wrapper; code routes only</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:separator -->
|
||||
<hr class="wp-block-separator has-alpha-channel-opacity"/>
|
||||
<!-- /wp:separator -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">🛡️ Import gates (CI)</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:merpress/mermaidjs {"align":"full"} -->
|
||||
<div class="wp-block-merpress-mermaidjs diagram-source-mermaid alignfull"><pre class="mermaid">%%{init: {"theme": "base", "themeVariables": {"background": "transparent", "lineColor": "#000000"}}}%%
|
||||
flowchart TD
|
||||
CI[CI smoke] --> Venv[Standalone venv]
|
||||
Venv --> Hot[Hot-path gate]
|
||||
Venv --> Script[check_c7_imports.sh]
|
||||
Script --> Strict[Strict: run/chat/code/app]
|
||||
Script --> Base["Baseline max 50 lines"]
|
||||
Script --> Allow[Empty allowlist enforced]
|
||||
Venv --> Run[praisonai-code run]
|
||||
classDef tool fill:#189AB4,color:#fff
|
||||
classDef agent fill:#8B0000,color:#fff
|
||||
class CI agent
|
||||
class Script tool
|
||||
</pre></div>
|
||||
<!-- /wp:merpress/mermaidjs -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Gate</th><th>Check</th><th>Status</th></tr></thead><tbody><tr><td>Hot path</td><td>No module-level wrapper import in main/app/run/chat/code</td><td>✅</td></tr><tr><td>Strict</td><td>Zero wrapper imports in app/run/chat/code</td><td>✅</td></tr><tr><td>Baseline</td><td>≤ <strong>50</strong> direct import lines (current: <strong>0</strong>)</td><td>✅</td></tr><tr><td>Allowlist</td><td>Any offender must be listed (list is empty)</td><td>✅</td></tr><tr><td>Smoke</td><td>Standalone <code>praisonai-code run</code></td><td>✅</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:code -->
|
||||
<pre class="wp-block-code"><code>bash scripts/check_c7_imports.sh
|
||||
pytest src/praisonai/tests/unit/test_c7_1_boundaries.py
|
||||
pytest src/praisonai/tests/unit/test_c5_backward_compat.py</code></pre>
|
||||
<!-- /wp:code -->
|
||||
|
||||
<!-- wp:separator -->
|
||||
<hr class="wp-block-separator has-alpha-channel-opacity"/>
|
||||
<!-- /wp:separator -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">🔌 Framework adapters</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:merpress/mermaidjs {"align":"full"} -->
|
||||
<div class="wp-block-merpress-mermaidjs diagram-source-mermaid alignfull"><pre class="mermaid">%%{init: {"theme": "base", "themeVariables": {"background": "transparent", "lineColor": "#000000"}}}%%
|
||||
flowchart TB
|
||||
subgraph sdk [praisonaiagents]
|
||||
P[frameworks protocols]
|
||||
CP[cli protocols C8.5]
|
||||
end
|
||||
subgraph wrap [praisonai]
|
||||
R[framework_adapters registry]
|
||||
C[CrewAI AutoGen]
|
||||
end
|
||||
subgraph code [praisonai-code]
|
||||
B[_wrapper_bridge]
|
||||
end
|
||||
P -.-> R
|
||||
CP -.-> wrap
|
||||
B -->|lazy| R
|
||||
classDef agent fill:#8B0000,color:#fff
|
||||
classDef tool fill:#189AB4,color:#fff
|
||||
class P agent
|
||||
class B tool
|
||||
</pre></div>
|
||||
<!-- /wp:merpress/mermaidjs -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Layer</th><th>Location</th></tr></thead><tbody><tr><td>Framework protocols</td><td><code>praisonaiagents/frameworks/</code></td></tr><tr><td>CLI protocols (C8.5)</td><td><code>praisonaiagents/cli/protocols.py</code></td></tr><tr><td>Implementations</td><td><code>praisonai/framework_adapters/</code></td></tr><tr><td>Access from code</td><td><code>_wrapper_bridge</code> only</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:separator -->
|
||||
<hr class="wp-block-separator has-alpha-channel-opacity"/>
|
||||
<!-- /wp:separator -->
|
||||
|
||||
<!-- wp:heading -->
|
||||
<h2 class="wp-block-heading">📋 Milestone status</h2>
|
||||
<!-- /wp:heading -->
|
||||
|
||||
<!-- wp:table -->
|
||||
<figure class="wp-block-table"><table><thead><tr><th>Milestone</th><th>State</th><th>Release</th></tr></thead><tbody><tr><td>C7 hot path</td><td>✅ Complete</td><td>—</td></tr><tr><td>C7.1 boundaries</td><td>✅ Complete</td><td>v4.6.110</td></tr><tr><td><strong>C8 reverse imports</strong></td><td>✅ Complete</td><td><strong>v4.6.113</strong></td></tr><tr><td>C8.4 full main.py split</td><td>⏳ Deferred</td><td>Future</td></tr><tr><td>PyPI splits (bot / frameworks)</td><td>⏳ Out of scope</td><td>—</td></tr></tbody></table></figure>
|
||||
<!-- /wp:table -->
|
||||
|
||||
<!-- wp:paragraph -->
|
||||
<p><a href="https://github.com/MervinPraison/PraisonAI/blob/main/ARCHITECTURE.md">ARCHITECTURE.md</a> · <a href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai/tests/C7.1_BOUNDARIES.md">C7.1 boundaries</a> · <a href="https://github.com/MervinPraison/PraisonAI/blob/main/src/praisonai/tests/C8_BACKLOG.md">C8 backlog</a> · <a href="https://github.com/MervinPraison/PraisonAI/releases/tag/v4.6.113">v4.6.113 release</a> · <a href="https://github.com/MervinPraison/PraisonAI/pull/2590">PR #2590</a></p>
|
||||
<!-- /wp:paragraph -->
|
||||
@@ -227,10 +227,9 @@ runs:
|
||||
2. Wrapper (praisonai/): CLI, heavy implementations, optional dependencies.
|
||||
3. Tools (PraisonAI-Tools): Specific integrations, external tools (e.g. SurrealDB, Slack), and community extensions MUST go to the `MervinPraison/PraisonAI-Tools` repository. If the feature is a tool, clone `https://github.com/MervinPraison/PraisonAI-Tools`, implement it there, and create the PR using `gh pr create -R MervinPraison/PraisonAI-Tools`.
|
||||
- Does it duplicate existing functionality? Check if Agent already supports this via existing params (reflection, planning, tools, hooks, memory).
|
||||
- Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
- Does it inherit from Agent properly? New agent types MUST inherit Agent, not wrap it with composition.
|
||||
- Does it add new dependencies? Only optional deps allowed, must be lazy-imported.
|
||||
- Will agent.py grow larger? If the change adds >50 lines to agent.py, find a way to extract instead. PRs with >100 lines added to agent.py require manual review (merge gate will not auto-merge).
|
||||
- Will agent.py grow larger? If the change adds >50 lines to agent.py, find a way to extract instead.
|
||||
- Is there a name collision with existing exports in __init__.py?
|
||||
If ANY of these conceptual checks fail (excluding routing), add a comment to the issue explaining why and close it. Do NOT create a PR.
|
||||
|
||||
@@ -261,24 +260,16 @@ runs:
|
||||
ANTHROPIC_API_KEY: ${{ inputs.anthropic_api_key }}
|
||||
CLAUDE_CODE_OAUTH_TOKEN: ${{ inputs.claude_code_oauth_token }}
|
||||
GITHUB_TOKEN: ${{ inputs.github_token }}
|
||||
INPUT_MODEL: ${{ inputs.model }}
|
||||
INPUT_MAX_TURNS: ${{ inputs.max_turns }}
|
||||
INPUT_ALLOWED_TOOLS: ${{ inputs.allowed_tools }}
|
||||
INPUT_DISALLOWED_TOOLS: ${{ inputs.disallowed_tools }}
|
||||
INPUT_TIMEOUT_MINUTES: ${{ inputs.timeout_minutes }}
|
||||
CLAUDE_CODE_SUBAGENT_MODEL: inherit
|
||||
ANTHROPIC_DEFAULT_SONNET_MODEL: claude-sonnet-4-6
|
||||
run: |
|
||||
echo "🚀 Running Claude Code with GitHub context..."
|
||||
|
||||
# Build command arguments
|
||||
CMD_ARGS=("-p" "--verbose" "--output-format" "stream-json")
|
||||
|
||||
if [[ -n "$INPUT_MODEL" ]]; then
|
||||
CMD_ARGS+=("--model" "$INPUT_MODEL")
|
||||
export ANTHROPIC_MODEL="$INPUT_MODEL"
|
||||
fi
|
||||
|
||||
# Add max turns if specified
|
||||
if [[ -n "$INPUT_MAX_TURNS" ]]; then
|
||||
CMD_ARGS+=("--max-turns" "$INPUT_MAX_TURNS")
|
||||
@@ -289,36 +280,11 @@ runs:
|
||||
if [[ -n "$INPUT_ALLOWED_TOOLS" ]]; then
|
||||
TOOLS="$TOOLS,$INPUT_ALLOWED_TOOLS"
|
||||
fi
|
||||
|
||||
# Remove any explicitly disallowed tools from the effective allow-list so
|
||||
# the read-only contract is enforced deterministically (no reliance on CLI
|
||||
# precedence between --allowedTools and --disallowedTools).
|
||||
if [[ -n "$INPUT_DISALLOWED_TOOLS" ]]; then
|
||||
DISALLOWED_CSV=$(echo "$INPUT_DISALLOWED_TOOLS" | tr ',\n' ' ' | xargs)
|
||||
FILTERED=""
|
||||
IFS=',' read -ra TOOL_ARR <<< "$TOOLS"
|
||||
for tool in "${TOOL_ARR[@]}"; do
|
||||
tool=$(echo "$tool" | xargs)
|
||||
[[ -z "$tool" ]] && continue
|
||||
skip="false"
|
||||
for bad in $DISALLOWED_CSV; do
|
||||
if [[ "$tool" == "$bad" ]]; then
|
||||
skip="true"
|
||||
break
|
||||
fi
|
||||
done
|
||||
if [[ "$skip" == "false" ]]; then
|
||||
FILTERED="${FILTERED:+$FILTERED,}$tool"
|
||||
fi
|
||||
done
|
||||
TOOLS="$FILTERED"
|
||||
fi
|
||||
CMD_ARGS+=("--allowedTools" "$TOOLS")
|
||||
|
||||
# Add disallowed tools
|
||||
if [[ -n "$INPUT_DISALLOWED_TOOLS" ]]; then
|
||||
DISALLOWED_FLAG=$(echo "$INPUT_DISALLOWED_TOOLS" | tr '\n' ',' | sed 's/,*$//')
|
||||
CMD_ARGS+=("--disallowedTools" "$DISALLOWED_FLAG")
|
||||
CMD_ARGS+=("--disallowedTools" "$INPUT_DISALLOWED_TOOLS")
|
||||
fi
|
||||
|
||||
echo "📝 Executing Claude Code with prompt from file..."
|
||||
|
||||
@@ -1,71 +0,0 @@
|
||||
name: Install PraisonAI monorepo packages
|
||||
description: Install praisonai-agents, praisonai-code, and praisonai wrapper from local paths (mirrors PyPI three-package install order).
|
||||
|
||||
inputs:
|
||||
repo-root:
|
||||
description: Path prefix to monorepo root (e.g. PraisonAI/ for cross-repo checkout)
|
||||
required: false
|
||||
default: ""
|
||||
use-uv:
|
||||
description: Use uv pip instead of pip
|
||||
required: false
|
||||
default: "false"
|
||||
agents-extras:
|
||||
description: Optional extras for praisonaiagents (e.g. .[all] or [all])
|
||||
required: false
|
||||
default: ""
|
||||
wrapper-extras:
|
||||
description: Optional extras for praisonai wrapper (e.g. .[chat,code] or [chat,code])
|
||||
required: false
|
||||
default: ""
|
||||
|
||||
runs:
|
||||
using: composite
|
||||
steps:
|
||||
- name: Install monorepo packages
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
WORKSPACE="${GITHUB_WORKSPACE:-$(pwd)}"
|
||||
ROOT="${{ inputs.repo-root }}"
|
||||
if [ -n "$ROOT" ]; then
|
||||
BASE="${WORKSPACE%/}/${ROOT%/}/"
|
||||
else
|
||||
BASE="${WORKSPACE%/}/"
|
||||
fi
|
||||
AGENTS_PKG="${BASE}src/praisonai-agents"
|
||||
CODE_PKG="${BASE}src/praisonai-code"
|
||||
BOT_PKG="${BASE}src/praisonai-bot"
|
||||
WRAPPER_PKG="${BASE}src/praisonai"
|
||||
|
||||
normalise_extras() {
|
||||
local value="${1#.}"
|
||||
if [ -n "$value" ]; then
|
||||
printf '.%s' "$value"
|
||||
else
|
||||
printf '.'
|
||||
fi
|
||||
}
|
||||
|
||||
AGENTS_SUFFIX="$(normalise_extras "${{ inputs.agents-extras }}")"
|
||||
WRAPPER_SUFFIX="$(normalise_extras "${{ inputs.wrapper-extras }}")"
|
||||
|
||||
if [ "${{ inputs.use-uv }}" = "true" ]; then
|
||||
cd "$AGENTS_PKG"
|
||||
uv pip install --system -e "${AGENTS_SUFFIX}"
|
||||
cd "$CODE_PKG"
|
||||
uv pip install --system -e .
|
||||
cd "$BOT_PKG"
|
||||
uv pip install --system -e .
|
||||
cd "$WRAPPER_PKG"
|
||||
uv pip install --system "${WRAPPER_SUFFIX}"
|
||||
else
|
||||
cd "$AGENTS_PKG"
|
||||
pip install -e "${AGENTS_SUFFIX}"
|
||||
cd "$CODE_PKG"
|
||||
pip install -e .
|
||||
cd "$BOT_PKG"
|
||||
pip install -e .
|
||||
cd "$WRAPPER_PKG"
|
||||
pip install -e "${WRAPPER_SUFFIX}"
|
||||
fi
|
||||
@@ -1,34 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
const chain = require('./bot-pr-review-chain.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
assert('chainKickPosted requires both markers', chain.chainKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
{ user: { login: 'MervinPraison' }, body: '/review' },
|
||||
]));
|
||||
assert('chainKickPosted false with only coderabbit', !chain.chainKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('coderabbitKickPosted detects coderabbit', chain.coderabbitKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('qodoKickPosted detects qodo', chain.qodoKickPosted([
|
||||
{ user: { login: 'github-actions[bot]' }, body: '/review' },
|
||||
]));
|
||||
assert('ignores coderabbit bot comment', !chain.coderabbitKickPosted([
|
||||
{ user: { login: 'coderabbitai[bot]' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('bot PR author match', chain.isBotOpenedPr({ user: { login: 'praisonai-triage-agent[bot]' } }));
|
||||
assert('generic bot type match', chain.isBotOpenedPr({ user: { login: 'my-bot', type: 'Bot' } }));
|
||||
assert('human author excluded', !chain.isBotOpenedPr({ user: { login: 'MervinPraison', type: 'User' } }));
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,153 +0,0 @@
|
||||
/**
|
||||
* Idempotent CodeRabbit/Qodo kick for bot-opened PRs.
|
||||
* @see .github/workflows/auto-pr-comment.yml, claude.yml, bot-pr-recovery.yml
|
||||
*/
|
||||
|
||||
const KICK_AUTHORS = new Set(['MervinPraison', 'github-actions[bot]']);
|
||||
const BOT_PR_AUTHORS = new Set(['praisonai-triage-agent[bot]', 'github-actions[bot]']);
|
||||
|
||||
async function listAllComments(github, owner, repo, issueNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.issues.listComments, {
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
function kickAuthored(comment, marker) {
|
||||
return (
|
||||
KICK_AUTHORS.has(comment.user?.login) &&
|
||||
(comment.body || '').includes(marker)
|
||||
);
|
||||
}
|
||||
|
||||
function coderabbitKickPosted(comments) {
|
||||
return comments.some((c) => kickAuthored(c, '@coderabbitai review'));
|
||||
}
|
||||
|
||||
function qodoKickPosted(comments) {
|
||||
return comments.some((c) => kickAuthored(c, '/review'));
|
||||
}
|
||||
|
||||
function chainKickPosted(comments) {
|
||||
return coderabbitKickPosted(comments) && qodoKickPosted(comments);
|
||||
}
|
||||
|
||||
function isBotOpenedPr(pr) {
|
||||
if (BOT_PR_AUTHORS.has(pr.user?.login)) return true;
|
||||
return pr.user?.type === 'Bot';
|
||||
}
|
||||
|
||||
async function kickReviewChain(github, owner, repo, prNumber, core, preFetchedComments = null) {
|
||||
const comments = preFetchedComments || await listAllComments(github, owner, repo, prNumber);
|
||||
const needCoderabbit = !coderabbitKickPosted(comments);
|
||||
const needQodo = !qodoKickPosted(comments);
|
||||
|
||||
if (!needCoderabbit && !needQodo) {
|
||||
core?.info?.(`Review chain already kicked on PR #${prNumber}`);
|
||||
return { kicked: false, reason: 'already_kicked' };
|
||||
}
|
||||
|
||||
if (needCoderabbit) {
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: '@coderabbitai review',
|
||||
});
|
||||
}
|
||||
if (needQodo) {
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: '/review',
|
||||
});
|
||||
}
|
||||
core?.info?.(`Kicked review chain for PR #${prNumber} (coderabbit=${needCoderabbit}, qodo=${needQodo})`);
|
||||
return { kicked: true, coderabbit: needCoderabbit, qodo: needQodo };
|
||||
}
|
||||
|
||||
async function findOpenPrForIssue(github, owner, repo, issueNumber) {
|
||||
const prefix = `claude/issue-${issueNumber}-`;
|
||||
const { data: prs } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
sort: 'created',
|
||||
direction: 'desc',
|
||||
per_page: 30,
|
||||
});
|
||||
return (
|
||||
prs.find(
|
||||
(p) => (p.head?.ref || '').startsWith(prefix) && isBotOpenedPr(p)
|
||||
) || null
|
||||
);
|
||||
}
|
||||
|
||||
async function kickReviewChainForIssue(github, owner, repo, issueNumber, core) {
|
||||
const pr = await findOpenPrForIssue(github, owner, repo, issueNumber);
|
||||
if (!pr) {
|
||||
core?.info?.(`No open PR for issue #${issueNumber}, skipping review kick`);
|
||||
return { kicked: false, reason: 'no_pr' };
|
||||
}
|
||||
const result = await kickReviewChain(github, owner, repo, pr.number, core);
|
||||
return { ...result, prNumber: pr.number };
|
||||
}
|
||||
|
||||
async function recoverStalledBotPrs(github, owner, repo, options, core) {
|
||||
const { prNumber = null, minAgeMs = 10 * 60 * 1000, maxRecover = 10 } = options || {};
|
||||
let prs;
|
||||
if (prNumber) {
|
||||
const { data } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
prs = [data];
|
||||
} else if (typeof github.paginate === 'function') {
|
||||
prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
const { data } = await github.rest.pulls.list({ owner, repo, state: 'open', per_page: 100 });
|
||||
prs = data;
|
||||
}
|
||||
|
||||
const cutoff = Date.now() - minAgeMs;
|
||||
let recovered = 0;
|
||||
for (const pr of prs) {
|
||||
if (recovered >= maxRecover) break;
|
||||
if (!isBotOpenedPr(pr)) continue;
|
||||
if (!prNumber && new Date(pr.created_at).getTime() > cutoff) continue;
|
||||
const comments = await listAllComments(github, owner, repo, pr.number);
|
||||
if (chainKickPosted(comments)) continue;
|
||||
await kickReviewChain(github, owner, repo, pr.number, core, comments);
|
||||
recovered += 1;
|
||||
}
|
||||
core?.info?.(`Recovery complete (${recovered} PR(s) kicked)`);
|
||||
return recovered;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
KICK_AUTHORS,
|
||||
BOT_PR_AUTHORS,
|
||||
listAllComments,
|
||||
chainKickPosted,
|
||||
coderabbitKickPosted,
|
||||
qodoKickPosted,
|
||||
isBotOpenedPr,
|
||||
kickReviewChain,
|
||||
findOpenPrForIssue,
|
||||
kickReviewChainForIssue,
|
||||
recoverStalledBotPrs,
|
||||
};
|
||||
@@ -1,187 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* Local self-test for merge-gate.js heuristics (no GitHub API).
|
||||
* Run: node .github/scripts/merge-gate-selftest.js
|
||||
*/
|
||||
const mg = require('./merge-gate.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
// Stale FINAL: push after FINAL, no @claude since head
|
||||
const finals = [
|
||||
{ user: { login: 'github-actions[bot]' }, body: '@claude FINAL architecture reviewer', created_at: '2026-06-12T08:00:00Z' },
|
||||
];
|
||||
assert('stale when head after final', mg.isStaleFinalAfterPush(finals, '2026-06-12T09:00:00Z'));
|
||||
|
||||
const withRecovery = [
|
||||
...finals,
|
||||
{ user: { login: 'github-actions[bot]' }, body: '@claude FINAL architecture reviewer', created_at: '2026-06-12T09:30:00Z' },
|
||||
];
|
||||
assert('not stale when @claude after head', !mg.isStaleFinalAfterPush(withRecovery, '2026-06-12T09:00:00Z'));
|
||||
|
||||
// Stale-FINAL recovery guards (PR #2560 push loop)
|
||||
const nowMs = Date.now();
|
||||
const iso = (ms) => new Date(ms).toISOString();
|
||||
const firstFinal = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: iso(nowMs - 20 * 60 * 1000),
|
||||
};
|
||||
const pushSoonAfter = mg.shouldSkipStaleFinalRecovery(
|
||||
[firstFinal],
|
||||
iso(nowMs - 16 * 60 * 1000)
|
||||
);
|
||||
assert('debounce push soon after FINAL', pushSoonAfter.skip && pushSoonAfter.reason.includes('soon after'));
|
||||
|
||||
const secondFinal = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: iso(nowMs - 20 * 60 * 1000),
|
||||
};
|
||||
const capped = mg.shouldSkipStaleFinalRecovery(
|
||||
[firstFinal, secondFinal],
|
||||
iso(nowMs - 2 * 60 * 1000)
|
||||
);
|
||||
assert('hourly cap blocks third FINAL in window', capped.skip && capped.reason.includes('capped'));
|
||||
|
||||
const botPush = mg.shouldSkipStaleFinalRecovery(
|
||||
[firstFinal],
|
||||
iso(nowMs - 16 * 60 * 1000),
|
||||
'praisonai-triage-agent[bot]'
|
||||
);
|
||||
assert('skip when automation pushed head', botPush.skip && botPush.reason.includes('automation'));
|
||||
|
||||
assert('claude automation login', mg.isClaudeAutomationLogin('praisonai-triage-agent[bot]'));
|
||||
|
||||
// Bot CHANGES_REQUESTED then APPROVE
|
||||
const reviews = [
|
||||
{ user: { login: 'coderabbit[bot]', type: 'Bot' }, state: 'CHANGES_REQUESTED', submitted_at: '2026-06-12T08:00:00Z' },
|
||||
{ user: { login: 'coderabbit[bot]', type: 'Bot' }, state: 'APPROVED', submitted_at: '2026-06-12T09:00:00Z' },
|
||||
];
|
||||
assert('bot approve clears CR', !mg.hasAnyChangesRequested(reviews));
|
||||
assert('human CR blocks', mg.hasAnyChangesRequested([
|
||||
{ user: { login: 'MervinPraison', type: 'User' }, state: 'CHANGES_REQUESTED', submitted_at: '2026-06-12T09:00:00Z' },
|
||||
]));
|
||||
|
||||
// Verdict after HEAD
|
||||
const verdictComments = [
|
||||
{ body: 'MERGE_GATE_VERDICT: APPROVE', created_at: '2026-06-12T08:00:00Z' },
|
||||
];
|
||||
assert('verdict before head rejected', mg.findMergeGateVerdict(verdictComments, null, '2026-06-12T09:00:00Z') === null);
|
||||
assert('verdict after head accepted', mg.findMergeGateVerdict(
|
||||
[{ body: 'MERGE_GATE_VERDICT: APPROVE', created_at: '2026-06-12T10:00:00Z' }],
|
||||
null,
|
||||
'2026-06-12T09:00:00Z'
|
||||
) === 'APPROVE');
|
||||
|
||||
const noise = [{ user: { login: 'MervinPraison' }, body: '**Merge gate scan** — wait for `@claude`', created_at: new Date().toISOString() }];
|
||||
assert('diagnostic comment not a trigger', !mg.hasRecentClaudeTrigger(noise, 35));
|
||||
|
||||
// Cooldown skip requires an actual verdict on HEAD, not just a FINAL trigger comment
|
||||
const recentFinalOnHead = [
|
||||
{
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: '2026-06-27T10:00:00Z',
|
||||
},
|
||||
];
|
||||
assert(
|
||||
'final trigger alone does not count as verdict on head',
|
||||
mg.findMergeGateVerdict(recentFinalOnHead, null, '2026-06-27T09:55:00Z') === null
|
||||
);
|
||||
const recentVerdictOnHead = [
|
||||
...recentFinalOnHead,
|
||||
{
|
||||
user: { login: 'github-actions[bot]' },
|
||||
body: 'MERGE_GATE_VERDICT: APPROVE',
|
||||
created_at: '2026-06-27T10:05:00Z',
|
||||
},
|
||||
];
|
||||
assert(
|
||||
'verdict on head skips cooldown gate',
|
||||
mg.findMergeGateVerdict(recentVerdictOnHead, null, '2026-06-27T09:55:00Z') === 'APPROVE'
|
||||
);
|
||||
|
||||
// Sensitive + secrets
|
||||
assert('workflow path sensitive', mg.sensitivePathReasons([{ filename: '.github/workflows/foo.yml' }]).length === 1);
|
||||
assert('ci-only label exempts workflows', mg.sensitivePathReasons(
|
||||
[{ filename: '.github/workflows/foo.yml' }],
|
||||
[mg.WORKFLOW_ONLY_LABEL]
|
||||
).length === 0);
|
||||
assert('ci-only label not exempt mixed changes', mg.sensitivePathReasons(
|
||||
[{ filename: '.github/workflows/foo.yml' }, { filename: 'src/foo.py' }],
|
||||
[mg.WORKFLOW_ONLY_LABEL]
|
||||
).length === 1);
|
||||
assert('secret in patch', mg.secretScanReasons([{ filename: 'x.py', patch: '+key = "ghp_abcdefghijklmnopqrstuvwxyz1234567890"' }]).length === 1);
|
||||
|
||||
// Claude run scoping — other PR branches must not block
|
||||
assert('other branch claude does not block', !mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issue_comment', head_branch: 'other-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
assert('same branch claude blocks', mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issue_comment', head_branch: 'my-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
assert('issues event never blocks', !mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issues', head_branch: 'my-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
|
||||
// Conflict rebase clears after bot completion + FINAL on HEAD (within 12h cooldown)
|
||||
const conflictNowMs = Date.now();
|
||||
const conflictIso = (offsetMs) => new Date(conflictNowMs + offsetMs).toISOString();
|
||||
const conflictTrigger = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude this PR has merge conflicts with main. Please rebase',
|
||||
created_at: conflictIso(-30 * 60 * 1000),
|
||||
};
|
||||
const rebaseDone = {
|
||||
user: { login: 'praisonai-triage-agent[bot]' },
|
||||
body: 'Rebase complete — PR #2308 onto latest main',
|
||||
created_at: conflictIso(-29 * 60 * 1000),
|
||||
};
|
||||
const finalAfterRebase = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: conflictIso(-20 * 60 * 1000),
|
||||
};
|
||||
const headAfterRebase = conflictIso(-21 * 60 * 1000);
|
||||
const rebaseComments = [conflictTrigger, rebaseDone, finalAfterRebase];
|
||||
assert('conflict blocks before rebase done', mg.hasRecentConflictComment([conflictTrigger], headAfterRebase));
|
||||
assert('conflict clears after rebase + FINAL on HEAD', !mg.hasRecentConflictComment(rebaseComments, headAfterRebase));
|
||||
assert('conflict still blocks without FINAL on HEAD', mg.hasRecentConflictComment(
|
||||
[conflictTrigger, rebaseDone],
|
||||
headAfterRebase
|
||||
));
|
||||
|
||||
// Tests heuristic
|
||||
assert('sdk without tests', mg.missingTestsReason([{ filename: 'src/praisonai-agents/a/b.py', additions: 3 }]) !== null);
|
||||
assert('sdk with tests ok', mg.missingTestsReason([
|
||||
{ filename: 'src/praisonai-agents/a/b.py', additions: 3 },
|
||||
{ filename: 'src/praisonai-agents/tests/test_x.py', additions: 10 },
|
||||
]) === null);
|
||||
|
||||
// PR size
|
||||
assert('large PR blocked', mg.prSizeReasons([{ additions: 900 }]).length > 0);
|
||||
|
||||
assert('internal PR link accepted', mg.isInternalPullRequestLink(
|
||||
{ base: { repo: { full_name: 'MervinPraison/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
));
|
||||
assert('fork sync PR link rejected', !mg.isInternalPullRequestLink(
|
||||
{ number: 21, base: { repo: { full_name: 'Milkmange/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
));
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,802 +0,0 @@
|
||||
/**
|
||||
* Shared merge-gate helpers for claude-merge-gate.yml
|
||||
* @see .github/workflows/claude-merge-gate.yml
|
||||
*/
|
||||
|
||||
const CLAUDE_TRIGGER_LOGINS = ['MervinPraison', 'github-actions[bot]'];
|
||||
const AUTO_ACTORS = CLAUDE_TRIGGER_LOGINS;
|
||||
const CONFLICT_COOLDOWN_MS = 12 * 60 * 60 * 1000;
|
||||
const CLAUDE_ACTIVE_MS = 35 * 60 * 1000;
|
||||
const STALE_FINAL_RECOVERY_WINDOW_MS = 60 * 60 * 1000;
|
||||
const STALE_FINAL_MAX_PER_WINDOW = 2;
|
||||
const PUSH_AFTER_FINAL_DEBOUNCE_MS = 15 * 60 * 1000;
|
||||
const ALLOWED_MERGE_STATES = new Set(['CLEAN', 'UNSTABLE']);
|
||||
const AGENT_PY_MAX_AUTO_LINES = 100;
|
||||
const PR_MAX_AUTO_ADDITIONS = 800;
|
||||
const PR_MAX_AUTO_FILES = 30;
|
||||
const MANUAL_ONLY_LABELS = new Set(['security', 'breaking-change', 'needs-manual-review', 'release']);
|
||||
const WORKFLOW_ONLY_LABEL = 'merge-gate-ci-only';
|
||||
const CI_ONLY_PATH_PREFIXES = ['.github/workflows/', '.github/actions/', '.github/scripts/merge-gate'];
|
||||
const SDK_PATH_PREFIXES = ['src/praisonai-agents/', 'src/praisonai/'];
|
||||
const SENSITIVE_PATH_PATTERNS = [
|
||||
/^\.github\/workflows\//,
|
||||
/praisonaiagents\/(auth|approval|policy|sandbox)\//,
|
||||
/^src\/praisonai-agents\/pyproject\.toml$/,
|
||||
/^src\/praisonai\/pyproject\.toml$/,
|
||||
/\.env(\.|$)/,
|
||||
/credentials\.json$/i,
|
||||
];
|
||||
const REQUIRED_SDK_CHECK_PATTERNS = [/test/i, /smoke/i, /core/i, /python package/i, /comprehensive/i, /optimized/i];
|
||||
const SECRET_PATTERNS = [
|
||||
/sk-[a-zA-Z0-9]{20,}/,
|
||||
/AKIA[0-9A-Z]{16}/,
|
||||
/ghp_[a-zA-Z0-9]{36,}/,
|
||||
/github_pat_/,
|
||||
/Bearer eyJ[a-zA-Z0-9_-]+\.[a-zA-Z0-9_-]+/,
|
||||
/-----BEGIN (RSA |EC |OPENSSH )?PRIVATE KEY-----/,
|
||||
];
|
||||
const BLOCK_LABELS = new Set([
|
||||
'claude-conflict-pending',
|
||||
'claude-merge-gate-active',
|
||||
'no-auto-merge',
|
||||
'auto-merged-by-gate',
|
||||
]);
|
||||
const BOT_REVIEWER_PATTERNS = [
|
||||
'coderabbit',
|
||||
'qodo',
|
||||
'gemini',
|
||||
'copilot',
|
||||
'greptile',
|
||||
];
|
||||
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
|
||||
function isFinalClaudeTriggerComment(c) {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
if (!body.includes('@claude')) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
}
|
||||
|
||||
function isClaudeTriggerNoise(c) {
|
||||
const body = c.body || '';
|
||||
if (body.includes('Merge gate scan')) return true;
|
||||
if (body.includes('MERGE_GATE_VERDICT')) return true;
|
||||
if (body.includes('Merged by **Claude PR merge gate**')) return true;
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasRecentClaudeTrigger(comments, minutes = 35) {
|
||||
const cutoff = Date.now() - minutes * 60 * 1000;
|
||||
return comments.some((c) => {
|
||||
if (!CLAUDE_TRIGGER_LOGINS.includes(c.user.login)) return false;
|
||||
if (isClaudeTriggerNoise(c)) return false;
|
||||
if (!(c.body || '').includes('@claude')) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
}
|
||||
|
||||
function isConflictRebaseTriggerComment(c) {
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
return body.includes('@claude') && body.includes('merge conflict');
|
||||
}
|
||||
|
||||
function isConflictRebaseCompletionComment(c) {
|
||||
const login = (c.user?.login || '').toLowerCase();
|
||||
if (!login.includes('praisonai-triage') && !login.includes('github-actions')) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
return (
|
||||
body.includes('rebase complete') ||
|
||||
body.includes('rebase onto') ||
|
||||
(body.includes('conflict') && body.includes('resolved'))
|
||||
);
|
||||
}
|
||||
|
||||
function conflictRebaseQuiescent(comments, headPushedAt) {
|
||||
const conflictTriggers = comments.filter(isConflictRebaseTriggerComment);
|
||||
if (conflictTriggers.length === 0) return true;
|
||||
|
||||
const latestConflict = conflictTriggers.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
|
||||
);
|
||||
const conflictTime = new Date(latestConflict.created_at).getTime();
|
||||
|
||||
const rebaseDone = comments.some(
|
||||
(c) =>
|
||||
new Date(c.created_at).getTime() > conflictTime && isConflictRebaseCompletionComment(c)
|
||||
);
|
||||
if (!rebaseDone) return false;
|
||||
|
||||
return finalClaudeCompletedOnSha(comments, headPushedAt);
|
||||
}
|
||||
|
||||
function hasRecentConflictComment(comments, headPushedAt = null) {
|
||||
const cutoff = Date.now() - CONFLICT_COOLDOWN_MS;
|
||||
const hasRecentTrigger = comments.some((c) => {
|
||||
if (!isConflictRebaseTriggerComment(c)) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
if (!hasRecentTrigger) return false;
|
||||
|
||||
if (headPushedAt && conflictRebaseQuiescent(comments, headPushedAt)) {
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
function isBotReviewer(login, userType) {
|
||||
const lower = (login || '').toLowerCase();
|
||||
if (userType === 'Bot') return true;
|
||||
if (lower.endsWith('[bot]')) return true;
|
||||
return ['coderabbit', 'qodo', 'gemini', 'copilot', 'greptile'].some((p) => lower.includes(p));
|
||||
}
|
||||
|
||||
function latestReviewsByUser(reviews) {
|
||||
const latestByUser = new Map();
|
||||
for (const r of reviews) {
|
||||
const login = r.user?.login;
|
||||
if (!login) continue;
|
||||
const prev = latestByUser.get(login);
|
||||
if (!prev || new Date(r.submitted_at) > new Date(prev.submitted_at)) {
|
||||
latestByUser.set(login, r);
|
||||
}
|
||||
}
|
||||
return latestByUser;
|
||||
}
|
||||
|
||||
function hasHumanChangesRequested(reviews) {
|
||||
for (const [login, review] of latestReviewsByUser(reviews)) {
|
||||
if (review.state !== 'CHANGES_REQUESTED') continue;
|
||||
if (!isBotReviewer(login, review.user?.type)) return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasAnyChangesRequested(reviews) {
|
||||
for (const [, review] of latestReviewsByUser(reviews)) {
|
||||
if (review.state === 'CHANGES_REQUESTED') return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasFinalClaudeReviewTrigger(comments) {
|
||||
return comments.some(isFinalClaudeTriggerComment);
|
||||
}
|
||||
|
||||
function isStaleFinalAfterPush(comments, headPushedAt) {
|
||||
if (!headPushedAt) return false;
|
||||
const headTime = new Date(headPushedAt).getTime();
|
||||
const finals = comments.filter(isFinalClaudeTriggerComment);
|
||||
if (finals.length === 0) return true;
|
||||
const latestFinal = finals.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
|
||||
);
|
||||
const finalTime = new Date(latestFinal.created_at).getTime();
|
||||
if (headTime <= finalTime + 60000) return false;
|
||||
const claudeSinceHead = comments.some((c) => {
|
||||
if (!CLAUDE_TRIGGER_LOGINS.includes(c.user.login)) return false;
|
||||
if (isClaudeTriggerNoise(c)) return false;
|
||||
if (!(c.body || '').includes('@claude')) return false;
|
||||
return new Date(c.created_at).getTime() >= headTime - 60000;
|
||||
});
|
||||
return !claudeSinceHead;
|
||||
}
|
||||
|
||||
function needsStaleFinalRecovery(comments, headPushedAt) {
|
||||
return (
|
||||
hasFinalClaudeReviewTrigger(comments) &&
|
||||
isStaleFinalAfterPush(comments, headPushedAt)
|
||||
);
|
||||
}
|
||||
|
||||
function shouldSkipFinalRecovery(comments, headPushedAt) {
|
||||
const isStale = isStaleFinalAfterPush(comments, headPushedAt);
|
||||
if (isStale) return false;
|
||||
return hasRecentClaudeTrigger(comments, 35);
|
||||
}
|
||||
|
||||
function countFinalTriggersSince(comments, sinceMs) {
|
||||
return comments.filter(
|
||||
(c) => isFinalClaudeTriggerComment(c) && new Date(c.created_at).getTime() > sinceMs
|
||||
).length;
|
||||
}
|
||||
|
||||
function isClaudeAutomationLogin(login) {
|
||||
const lower = (login || '').toLowerCase();
|
||||
return lower.includes('praisonai-triage') || lower === 'github-actions[bot]';
|
||||
}
|
||||
|
||||
function isPushSoonAfterLatestFinal(comments, headPushedAt) {
|
||||
if (!headPushedAt) return false;
|
||||
const finals = comments.filter(isFinalClaudeTriggerComment);
|
||||
if (finals.length === 0) return false;
|
||||
const latestFinal = finals.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
|
||||
);
|
||||
const finalTime = new Date(latestFinal.created_at).getTime();
|
||||
const headTime = new Date(headPushedAt).getTime();
|
||||
if (headTime <= finalTime) return false;
|
||||
return headTime - finalTime < PUSH_AFTER_FINAL_DEBOUNCE_MS;
|
||||
}
|
||||
|
||||
/** Returns { skip: true, reason } when stale-FINAL recovery should not post. */
|
||||
function shouldSkipStaleFinalRecovery(comments, headPushedAt, headPusherLogin = null) {
|
||||
if (!isStaleFinalAfterPush(comments, headPushedAt)) {
|
||||
return { skip: true, reason: 'not stale' };
|
||||
}
|
||||
if (headPusherLogin && isClaudeAutomationLogin(headPusherLogin)) {
|
||||
return { skip: true, reason: 'head pushed by Claude automation' };
|
||||
}
|
||||
if (isPushSoonAfterLatestFinal(comments, headPushedAt)) {
|
||||
return {
|
||||
skip: true,
|
||||
reason: 'head pushed soon after FINAL (wait for CI / batched fixes)',
|
||||
};
|
||||
}
|
||||
const windowStart = Date.now() - STALE_FINAL_RECOVERY_WINDOW_MS;
|
||||
const finalsInWindow = countFinalTriggersSince(comments, windowStart);
|
||||
if (finalsInWindow >= STALE_FINAL_MAX_PER_WINDOW) {
|
||||
return {
|
||||
skip: true,
|
||||
reason: `stale-FINAL capped (${finalsInWindow} FINAL triggers in last hour)`,
|
||||
};
|
||||
}
|
||||
return { skip: false, reason: '' };
|
||||
}
|
||||
|
||||
function finalClaudeCompletedOnSha(comments, headPushedAt) {
|
||||
if (!hasFinalClaudeReviewTrigger(comments)) return false;
|
||||
if (isStaleFinalAfterPush(comments, headPushedAt)) return false;
|
||||
return true;
|
||||
}
|
||||
|
||||
const FINAL_CLAUDE_REVIEW_BODY =
|
||||
'@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n4. SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep\n5. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n\n**Phase 2: FIX Valid Issues**\n5. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n6. Push all code fixes directly to THIS branch (do NOT create a new PR)\n7. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n8. If all issues are resolved, approve the PR / close the Issue\n9. If blocking issues remain, request changes / leave clear action items';
|
||||
|
||||
async function getMergeState(github, owner, repo, prNumber) {
|
||||
const query = `
|
||||
query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) {
|
||||
mergeStateStatus
|
||||
maintainerCanModify
|
||||
isDraft
|
||||
headRefOid
|
||||
headRef { repository { nameWithOwner } }
|
||||
}
|
||||
}
|
||||
}
|
||||
`;
|
||||
for (let attempt = 0; attempt < 3; attempt++) {
|
||||
const result = await github.graphql(query, { owner, repo, number: prNumber });
|
||||
const prGql = result.repository.pullRequest;
|
||||
const status = (prGql?.mergeStateStatus || '').toUpperCase();
|
||||
if (status && status !== 'UNKNOWN') {
|
||||
return {
|
||||
status,
|
||||
isDraft: prGql.isDraft,
|
||||
headRepo: prGql.headRef?.repository?.nameWithOwner,
|
||||
headSha: prGql.headRefOid,
|
||||
maintainerCanModify: prGql.maintainerCanModify === true,
|
||||
};
|
||||
}
|
||||
if (attempt < 2) await sleep(10000);
|
||||
}
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
return {
|
||||
status: (pr.mergeable_state || '').toUpperCase(),
|
||||
isDraft: pr.draft,
|
||||
headRepo: pr.head.repo?.full_name,
|
||||
headSha: pr.head.sha,
|
||||
maintainerCanModify: pr.maintainer_can_modify === true,
|
||||
};
|
||||
}
|
||||
|
||||
async function allChecksGreenOnSha(github, owner, repo, sha, core) {
|
||||
const { data } = await github.rest.checks.listForRef({
|
||||
owner,
|
||||
repo,
|
||||
ref: sha,
|
||||
per_page: 100,
|
||||
});
|
||||
const runs = (data.check_runs || []).filter((r) => r.head_sha === sha);
|
||||
if (runs.length === 0) {
|
||||
core?.info?.(`No check runs on ${sha.slice(0, 7)} — allowing (e.g. docs-only PR)`);
|
||||
return true;
|
||||
}
|
||||
for (const run of runs) {
|
||||
if (run.status !== 'completed') {
|
||||
core?.info?.(`Check pending: ${run.name} (${run.status})`);
|
||||
return false;
|
||||
}
|
||||
const ok = ['success', 'neutral', 'skipped'].includes(run.conclusion);
|
||||
if (!ok) {
|
||||
core?.info?.(`Check failed: ${run.name} (${run.conclusion})`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
function claudeRunBlocksPr(run, headRef) {
|
||||
if (!run || run.event === 'issues') return false;
|
||||
if (!headRef) return true;
|
||||
return run.head_branch === headRef;
|
||||
}
|
||||
|
||||
function hasBlockingClaudeRunForPr(runs, headRef) {
|
||||
return (runs || []).some((r) => claudeRunBlocksPr(r, headRef));
|
||||
}
|
||||
|
||||
async function hasInProgressClaudeAssistant(github, owner, repo, prNumber = null) {
|
||||
try {
|
||||
const { data } = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
workflow_id: 'claude.yml',
|
||||
status: 'in_progress',
|
||||
per_page: 20,
|
||||
});
|
||||
const runs = (data.workflow_runs || []).filter((r) => r.event !== 'issues');
|
||||
if (runs.length === 0) return false;
|
||||
if (prNumber == null) return runs.length > 0;
|
||||
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const headRef = pr.head.ref;
|
||||
return hasBlockingClaudeRunForPr(runs, headRef);
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
function isCiOnlyChange(files) {
|
||||
if (!files.length) return false;
|
||||
return files.every((f) => CI_ONLY_PATH_PREFIXES.some((p) => f.filename.startsWith(p)));
|
||||
}
|
||||
|
||||
function isInternalPullRequestLink(link, owner, repo) {
|
||||
if (link?.base?.repo?.full_name === `${owner}/${repo}`) return true;
|
||||
const baseUrl = link?.base?.repo?.url || '';
|
||||
return baseUrl.endsWith(`/repos/${owner}/${repo}`);
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromLinkedPullRequests(github, owner, repo, linked) {
|
||||
const repoFull = `${owner}/${repo}`;
|
||||
const internal = (linked || []).filter((l) => isInternalPullRequestLink(l, owner, repo));
|
||||
for (const link of internal) {
|
||||
if (!link.number) continue;
|
||||
try {
|
||||
const { data } = await github.rest.pulls.get({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: link.number,
|
||||
});
|
||||
if (data.state === 'open' && data.base?.repo?.full_name === repoFull) {
|
||||
return data.number;
|
||||
}
|
||||
} catch (err) {
|
||||
if (err.status !== 404) throw err;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromHeadBranch(github, owner, repo, branch) {
|
||||
if (!branch || branch === 'main' || branch === 'master') return null;
|
||||
const { data } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
head: `${owner}:${branch}`,
|
||||
per_page: 1,
|
||||
});
|
||||
return data[0]?.number || null;
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromWorkflowRun(github, owner, repo, workflowRun) {
|
||||
const fromLinked = await resolvePrNumberFromLinkedPullRequests(
|
||||
github, owner, repo, workflowRun.pull_requests
|
||||
);
|
||||
if (fromLinked) return fromLinked;
|
||||
|
||||
const fromBranch = await resolvePrNumberFromHeadBranch(
|
||||
github, owner, repo, workflowRun.head_branch
|
||||
);
|
||||
if (fromBranch) return fromBranch;
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
async function listPullFiles(github, owner, repo, prNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.pulls.listFiles, {
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.pulls.listFiles({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
function countNewAgentParams(patch) {
|
||||
if (!patch) return 0;
|
||||
return patch
|
||||
.split('\n')
|
||||
.filter((l) => l.startsWith('+') && !l.startsWith('+++'))
|
||||
.filter((l) => {
|
||||
const t = l.slice(1).trim();
|
||||
if (!t || t.startsWith('#') || t.startsWith('"""') || t.startsWith("'''")) return false;
|
||||
if (/^(def|class|@|return\b|if\b|elif\b|else\b|for\b|while\b)/.test(t)) return false;
|
||||
if (/^\w+\s*[:=]/.test(t) && !t.startsWith('self.')) return true;
|
||||
return false;
|
||||
}).length;
|
||||
}
|
||||
|
||||
function getAgentPyChangeFromFiles(files) {
|
||||
const agentFile = files.find((f) => f.filename.endsWith('praisonaiagents/agent/agent.py'));
|
||||
if (!agentFile) {
|
||||
return { touched: false, additions: 0, newParams: 0 };
|
||||
}
|
||||
return {
|
||||
touched: true,
|
||||
additions: agentFile.additions || 0,
|
||||
newParams: countNewAgentParams(agentFile.patch || ''),
|
||||
};
|
||||
}
|
||||
|
||||
async function getAgentPyChange(github, owner, repo, prNumber) {
|
||||
const files = await listPullFiles(github, owner, repo, prNumber);
|
||||
return getAgentPyChangeFromFiles(files);
|
||||
}
|
||||
|
||||
function touchesSdk(files) {
|
||||
return files.some((f) => SDK_PATH_PREFIXES.some((p) => f.filename.startsWith(p)));
|
||||
}
|
||||
|
||||
function hasManualOnlyLabel(labels) {
|
||||
return labels.some((l) => MANUAL_ONLY_LABELS.has(l));
|
||||
}
|
||||
|
||||
function sensitivePathReasons(files, labels = []) {
|
||||
if (labels.includes(WORKFLOW_ONLY_LABEL) && isCiOnlyChange(files)) {
|
||||
return [];
|
||||
}
|
||||
const reasons = [];
|
||||
for (const f of files) {
|
||||
if (SENSITIVE_PATH_PATTERNS.some((p) => p.test(f.filename))) {
|
||||
reasons.push(`sensitive path: ${f.filename}`);
|
||||
break;
|
||||
}
|
||||
}
|
||||
return reasons;
|
||||
}
|
||||
|
||||
function prSizeReasons(files) {
|
||||
const reasons = [];
|
||||
const totalAdditions = files.reduce((sum, f) => sum + (f.additions || 0), 0);
|
||||
if (totalAdditions > PR_MAX_AUTO_ADDITIONS) {
|
||||
reasons.push(`PR +${totalAdditions} lines (>${PR_MAX_AUTO_ADDITIONS}) requires manual review`);
|
||||
}
|
||||
if (files.length > PR_MAX_AUTO_FILES) {
|
||||
reasons.push(`${files.length} files changed (>${PR_MAX_AUTO_FILES}) requires manual review`);
|
||||
}
|
||||
return reasons;
|
||||
}
|
||||
|
||||
function missingTestsReason(files) {
|
||||
const sdkAdds = files.filter(
|
||||
(f) =>
|
||||
f.filename.startsWith('src/praisonai-agents/') &&
|
||||
f.filename.endsWith('.py') &&
|
||||
!f.filename.endsWith('__init__.py') &&
|
||||
(f.additions || 0) > 0
|
||||
);
|
||||
if (sdkAdds.length === 0) return null;
|
||||
const hasTestChange = files.some(
|
||||
(f) => /\/tests?\//.test(f.filename) || /test_.*\.py$/.test(f.filename) || /_test\.py$/.test(f.filename)
|
||||
);
|
||||
if (!hasTestChange) return 'SDK code added without test file changes — requires manual review';
|
||||
return null;
|
||||
}
|
||||
|
||||
function secretScanReasons(files) {
|
||||
for (const f of files) {
|
||||
if (/\/tests?\//.test(f.filename) || /test_.*\.py$/.test(f.filename)) continue;
|
||||
const patch = f.patch || '';
|
||||
if (!patch) continue;
|
||||
for (const pattern of SECRET_PATTERNS) {
|
||||
if (pattern.test(patch)) {
|
||||
return [`possible secret in diff (${f.filename}) — requires manual review`];
|
||||
}
|
||||
}
|
||||
}
|
||||
return [];
|
||||
}
|
||||
|
||||
async function sdkTestChecksReason(github, owner, repo, sha, files, core) {
|
||||
if (!touchesSdk(files)) return null;
|
||||
const { data } = await github.rest.checks.listForRef({
|
||||
owner,
|
||||
repo,
|
||||
ref: sha,
|
||||
per_page: 100,
|
||||
});
|
||||
const runs = (data.check_runs || []).filter((r) => r.head_sha === sha);
|
||||
if (runs.length === 0) {
|
||||
return 'SDK code changed but no CI checks on HEAD';
|
||||
}
|
||||
const testRuns = runs.filter((r) => REQUIRED_SDK_CHECK_PATTERNS.some((p) => p.test(r.name || '')));
|
||||
if (testRuns.length === 0) {
|
||||
return 'SDK code changed but no test check runs on HEAD';
|
||||
}
|
||||
core?.info?.(`SDK test checks on HEAD: ${testRuns.map((r) => r.name).join(', ')}`);
|
||||
return null;
|
||||
}
|
||||
|
||||
function manualReviewReasonForAgentPy(agentChange) {
|
||||
if (!agentChange.touched) return null;
|
||||
if (agentChange.additions > AGENT_PY_MAX_AUTO_LINES) {
|
||||
return `agent.py +${agentChange.additions} lines (>${AGENT_PY_MAX_AUTO_LINES}) requires manual review`;
|
||||
}
|
||||
if (agentChange.newParams > 0) {
|
||||
return `agent.py adds ${agentChange.newParams} new Agent param(s) — requires manual review`;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
async function listAllComments(github, owner, repo, issueNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.issues.listComments, {
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
async function getHeadCommitDate(github, owner, repo, prNumber) {
|
||||
try {
|
||||
let commits;
|
||||
if (typeof github.paginate === 'function') {
|
||||
commits = await github.paginate(github.rest.pulls.listCommits, {
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
const { data } = await github.rest.pulls.listCommits({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
commits = data;
|
||||
}
|
||||
const last = commits[commits.length - 1];
|
||||
return last?.commit?.committer?.date || last?.commit?.author?.date || null;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async function loadPrContext(github, owner, repo, prNumber) {
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const { data: issue } = await github.rest.issues.get({ owner, repo, issue_number: prNumber });
|
||||
const comments = await listAllComments(github, owner, repo, prNumber);
|
||||
const { data: reviews } = await github.rest.pulls.listReviews({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
const mergeState = await getMergeState(github, owner, repo, prNumber);
|
||||
const headSha = mergeState.headSha || pr.head.sha;
|
||||
const headCommitDate = await getHeadCommitDate(github, owner, repo, prNumber);
|
||||
const headPushedAt = headCommitDate || pr.updated_at;
|
||||
|
||||
return {
|
||||
pr,
|
||||
issue,
|
||||
comments,
|
||||
reviews,
|
||||
mergeState,
|
||||
headSha,
|
||||
headPushedAt,
|
||||
labels: issue.labels.map((l) => l.name),
|
||||
baseRepo: `${owner}/${repo}`,
|
||||
};
|
||||
}
|
||||
|
||||
async function evaluatePipelineQuiescent(github, owner, repo, prNumber, core, options = {}) {
|
||||
const {
|
||||
forMergeStep = false,
|
||||
skipGlobalClaudeRunCheck = false,
|
||||
skipRecentClaudeCooldown = false,
|
||||
} = options;
|
||||
const ctx = await loadPrContext(github, owner, repo, prNumber);
|
||||
const reasons = [];
|
||||
|
||||
if (ctx.pr.draft) reasons.push('draft');
|
||||
if (ctx.pr.state !== 'open') reasons.push('not open');
|
||||
if (ctx.labels.includes('auto-merged-by-gate')) reasons.push('already merged by gate');
|
||||
if (ctx.labels.includes('no-auto-merge')) reasons.push('no-auto-merge label');
|
||||
if (ctx.labels.includes('claude-conflict-pending')) reasons.push('claude-conflict-pending');
|
||||
if (!forMergeStep && ctx.labels.includes('claude-merge-gate-active')) {
|
||||
reasons.push('claude-merge-gate-active');
|
||||
}
|
||||
|
||||
const { status, headRepo, maintainerCanModify } = ctx.mergeState;
|
||||
if (!ALLOWED_MERGE_STATES.has(status)) reasons.push(`mergeState=${status}`);
|
||||
|
||||
if (headRepo && headRepo !== ctx.baseRepo) {
|
||||
reasons.push('fork PR');
|
||||
}
|
||||
|
||||
if (hasRecentConflictComment(ctx.comments, ctx.headPushedAt)) {
|
||||
reasons.push('recent merge-conflict @claude');
|
||||
}
|
||||
if (!skipRecentClaudeCooldown && hasRecentClaudeTrigger(ctx.comments, 35)) {
|
||||
const verdictOnHead = findMergeGateVerdict(ctx.comments, null, ctx.headPushedAt) !== null;
|
||||
if (!verdictOnHead) reasons.push('recent @claude within 35min');
|
||||
}
|
||||
|
||||
if (!skipGlobalClaudeRunCheck && (await hasInProgressClaudeAssistant(github, owner, repo, prNumber))) {
|
||||
reasons.push('claude.yml in progress');
|
||||
}
|
||||
|
||||
const checksOk = await allChecksGreenOnSha(github, owner, repo, ctx.headSha, core);
|
||||
if (!checksOk) reasons.push('CI not green on HEAD');
|
||||
|
||||
if (!finalClaudeCompletedOnSha(ctx.comments, ctx.headPushedAt)) {
|
||||
if (!hasFinalClaudeReviewTrigger(ctx.comments)) {
|
||||
reasons.push('no FINAL Claude review trigger');
|
||||
} else if (isStaleFinalAfterPush(ctx.comments, ctx.headPushedAt)) {
|
||||
reasons.push('stale FINAL after new commits (needs @claude re-review)');
|
||||
} else {
|
||||
reasons.push('FINAL Claude not complete on HEAD');
|
||||
}
|
||||
}
|
||||
|
||||
if (hasAnyChangesRequested(ctx.reviews)) reasons.push('CHANGES_REQUESTED review');
|
||||
|
||||
if (hasManualOnlyLabel(ctx.labels)) {
|
||||
const manualLabel = ctx.labels.find((l) => MANUAL_ONLY_LABELS.has(l));
|
||||
reasons.push(`manual-only label: ${manualLabel}`);
|
||||
}
|
||||
|
||||
const pullFiles = await listPullFiles(github, owner, repo, prNumber);
|
||||
|
||||
const agentChange = getAgentPyChangeFromFiles(pullFiles);
|
||||
const agentManual = manualReviewReasonForAgentPy(agentChange);
|
||||
if (agentManual) reasons.push(agentManual);
|
||||
|
||||
reasons.push(...sensitivePathReasons(pullFiles, ctx.labels));
|
||||
reasons.push(...prSizeReasons(pullFiles));
|
||||
reasons.push(...secretScanReasons(pullFiles));
|
||||
|
||||
const testsReason = missingTestsReason(pullFiles);
|
||||
if (testsReason) reasons.push(testsReason);
|
||||
|
||||
const sdkCheckReason = await sdkTestChecksReason(github, owner, repo, ctx.headSha, pullFiles, core);
|
||||
if (sdkCheckReason) reasons.push(sdkCheckReason);
|
||||
|
||||
if (ctx.pr.mergeable === false) reasons.push('not mergeable');
|
||||
|
||||
const ready = reasons.length === 0;
|
||||
return {
|
||||
ready,
|
||||
reasons,
|
||||
headSha: ctx.headSha,
|
||||
prNumber,
|
||||
};
|
||||
}
|
||||
|
||||
async function selectMergeGateCandidates(github, owner, repo, prNumbers, maxCandidates, core) {
|
||||
const readyList = [];
|
||||
const skipped = [];
|
||||
for (const num of prNumbers) {
|
||||
const result = await evaluatePipelineQuiescent(github, owner, repo, num, core);
|
||||
if (result.ready) {
|
||||
readyList.push({ pr_number: num, head_sha: result.headSha });
|
||||
} else {
|
||||
skipped.push({ pr: num, reasons: result.reasons });
|
||||
}
|
||||
}
|
||||
readyList.sort((a, b) => a.pr_number - b.pr_number);
|
||||
return {
|
||||
candidates: readyList.slice(0, maxCandidates),
|
||||
skipped,
|
||||
};
|
||||
}
|
||||
|
||||
function findMergeGateVerdict(comments, minCreatedAt = null, headPushedAt = null) {
|
||||
const minTime = minCreatedAt ? new Date(minCreatedAt).getTime() : 0;
|
||||
const headTime = headPushedAt ? new Date(headPushedAt).getTime() - 60000 : 0;
|
||||
const gateComments = comments
|
||||
.filter((c) => {
|
||||
if (!(c.body || '').includes('MERGE_GATE_VERDICT:')) return false;
|
||||
const created = new Date(c.created_at).getTime();
|
||||
if (minTime && created < minTime) return false;
|
||||
if (headTime && created < headTime) return false;
|
||||
return true;
|
||||
})
|
||||
.sort((a, b) => new Date(b.created_at) - new Date(a.created_at));
|
||||
if (gateComments.length === 0) return null;
|
||||
const body = gateComments[0].body || '';
|
||||
if (body.includes('MERGE_GATE_VERDICT: APPROVE')) return 'APPROVE';
|
||||
if (body.includes('MERGE_GATE_VERDICT: BLOCK')) return 'BLOCK';
|
||||
return null;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
CLAUDE_TRIGGER_LOGINS,
|
||||
AUTO_ACTORS,
|
||||
isFinalClaudeTriggerComment,
|
||||
isClaudeTriggerNoise,
|
||||
hasRecentClaudeTrigger,
|
||||
hasRecentConflictComment,
|
||||
isConflictRebaseTriggerComment,
|
||||
isConflictRebaseCompletionComment,
|
||||
conflictRebaseQuiescent,
|
||||
hasHumanChangesRequested,
|
||||
hasAnyChangesRequested,
|
||||
hasFinalClaudeReviewTrigger,
|
||||
finalClaudeCompletedOnSha,
|
||||
getMergeState,
|
||||
allChecksGreenOnSha,
|
||||
hasInProgressClaudeAssistant,
|
||||
claudeRunBlocksPr,
|
||||
hasBlockingClaudeRunForPr,
|
||||
isCiOnlyChange,
|
||||
isInternalPullRequestLink,
|
||||
resolvePrNumberFromLinkedPullRequests,
|
||||
resolvePrNumberFromHeadBranch,
|
||||
resolvePrNumberFromWorkflowRun,
|
||||
WORKFLOW_ONLY_LABEL,
|
||||
getAgentPyChange,
|
||||
getAgentPyChangeFromFiles,
|
||||
manualReviewReasonForAgentPy,
|
||||
countNewAgentParams,
|
||||
listPullFiles,
|
||||
touchesSdk,
|
||||
hasManualOnlyLabel,
|
||||
sensitivePathReasons,
|
||||
prSizeReasons,
|
||||
missingTestsReason,
|
||||
secretScanReasons,
|
||||
sdkTestChecksReason,
|
||||
listAllComments,
|
||||
getHeadCommitDate,
|
||||
isStaleFinalAfterPush,
|
||||
needsStaleFinalRecovery,
|
||||
shouldSkipFinalRecovery,
|
||||
shouldSkipStaleFinalRecovery,
|
||||
isClaudeAutomationLogin,
|
||||
isPushSoonAfterLatestFinal,
|
||||
countFinalTriggersSince,
|
||||
STALE_FINAL_RECOVERY_WINDOW_MS,
|
||||
STALE_FINAL_MAX_PER_WINDOW,
|
||||
FINAL_CLAUDE_REVIEW_BODY,
|
||||
loadPrContext,
|
||||
evaluatePipelineQuiescent,
|
||||
selectMergeGateCandidates,
|
||||
findMergeGateVerdict,
|
||||
};
|
||||
@@ -1,76 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* Run: node .github/scripts/pipeline-status-selftest.js
|
||||
*/
|
||||
const ps = require('./pipeline-status.js');
|
||||
const mg = require('./merge-gate.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
const kickComments = [
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
{ user: { login: 'MervinPraison' }, body: '/review' },
|
||||
];
|
||||
|
||||
const finalComment = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: '2026-06-26T10:00:00Z',
|
||||
};
|
||||
|
||||
assert(
|
||||
'reviews pending when not kicked',
|
||||
ps.deriveStage([], { ready: false, reasons: ['no FINAL Claude review trigger'] })
|
||||
=== 'pipeline/reviews-pending'
|
||||
);
|
||||
assert(
|
||||
'final pending after kick',
|
||||
ps.deriveStage(kickComments, { ready: false, reasons: ['no FINAL Claude review trigger'] })
|
||||
=== 'pipeline/final-claude-pending'
|
||||
);
|
||||
assert(
|
||||
'awaiting merge gate after final',
|
||||
ps.deriveStage(
|
||||
[...kickComments, finalComment],
|
||||
{ ready: false, reasons: ['recent @claude within 35min'] }
|
||||
) === 'pipeline/awaiting-merge-gate'
|
||||
);
|
||||
assert(
|
||||
'merge ready',
|
||||
ps.deriveStage([...kickComments, finalComment], { ready: true, reasons: [] })
|
||||
=== 'pipeline/merge-ready'
|
||||
);
|
||||
|
||||
const blockers = ps.deriveBlockerLabels({
|
||||
ready: false,
|
||||
reasons: ['CI not green on HEAD', 'SDK code added without test file changes — requires manual review'],
|
||||
});
|
||||
assert('maps ci blocker', blockers.includes('pipeline/blocked:ci'));
|
||||
assert('maps manual blocker', blockers.includes('pipeline/blocked:manual-review'));
|
||||
|
||||
assert(
|
||||
'internal link matches upstream base',
|
||||
mg.isInternalPullRequestLink(
|
||||
{ base: { repo: { full_name: 'MervinPraison/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
)
|
||||
);
|
||||
assert(
|
||||
'fork sync link rejected',
|
||||
!mg.isInternalPullRequestLink(
|
||||
{ number: 21, base: { repo: { full_name: 'Milkmange/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
)
|
||||
);
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,245 +0,0 @@
|
||||
/**
|
||||
* Sync pipeline stage/blocker labels on open PRs.
|
||||
* @see .github/workflows/pipeline-status-sync.yml
|
||||
*/
|
||||
|
||||
const mergeGate = require('./merge-gate.js');
|
||||
const chain = require('./bot-pr-review-chain.js');
|
||||
|
||||
const PIPELINE_PREFIX = 'pipeline/';
|
||||
const STAGE_LABELS = [
|
||||
'pipeline/reviews-pending',
|
||||
'pipeline/final-claude-pending',
|
||||
'pipeline/awaiting-merge-gate',
|
||||
'pipeline/merge-ready',
|
||||
'pipeline/merged',
|
||||
];
|
||||
const BLOCKER_LABELS = [
|
||||
'pipeline/blocked:ci',
|
||||
'pipeline/blocked:conflict',
|
||||
'pipeline/blocked:manual-review',
|
||||
'pipeline/blocked:cooldown',
|
||||
'pipeline/blocked:stale-final',
|
||||
'pipeline/blocked:no-final',
|
||||
];
|
||||
const ALL_PIPELINE_LABELS = [...STAGE_LABELS, ...BLOCKER_LABELS];
|
||||
|
||||
const LABEL_SPECS = [
|
||||
{ name: 'pipeline/reviews-pending', color: 'fbca04', description: 'Waiting for CodeRabbit/Qodo/Copilot reviews' },
|
||||
{ name: 'pipeline/final-claude-pending', color: 'd4c5f9', description: 'Reviews done; waiting for FINAL @claude' },
|
||||
{ name: 'pipeline/awaiting-merge-gate', color: 'c5def5', description: 'FINAL done; waiting for merge gate / CI' },
|
||||
{ name: 'pipeline/merge-ready', color: '0e8a16', description: 'Eligible for merge gate auto-merge' },
|
||||
{ name: 'pipeline/merged', color: '6f42c1', description: 'Merged via pipeline' },
|
||||
{ name: 'pipeline/blocked:ci', color: 'd93f0b', description: 'Blocked: CI not green on HEAD' },
|
||||
{ name: 'pipeline/blocked:conflict', color: 'b60205', description: 'Blocked: merge conflict or rebase pending' },
|
||||
{ name: 'pipeline/blocked:manual-review', color: 'e99695', description: 'Blocked: requires manual review' },
|
||||
{ name: 'pipeline/blocked:cooldown', color: 'fef2c0', description: 'Blocked: post-push or @claude cooldown' },
|
||||
{ name: 'pipeline/blocked:stale-final', color: 'f9d0c4', description: 'Blocked: FINAL stale after new commits' },
|
||||
{ name: 'pipeline/blocked:no-final', color: 'ededed', description: 'Blocked: no FINAL @claude trigger yet' },
|
||||
];
|
||||
|
||||
function deriveStage(comments, evalResult) {
|
||||
if (evalResult.ready) return 'pipeline/merge-ready';
|
||||
if (!chain.chainKickPosted(comments)) return 'pipeline/reviews-pending';
|
||||
if (!mergeGate.hasFinalClaudeReviewTrigger(comments)) return 'pipeline/final-claude-pending';
|
||||
return 'pipeline/awaiting-merge-gate';
|
||||
}
|
||||
|
||||
function reasonToBlockerLabel(reason) {
|
||||
const r = (reason || '').toLowerCase();
|
||||
if (r.includes('ci not green') || r.includes('sdk code changed but no ci')) return 'pipeline/blocked:ci';
|
||||
if (
|
||||
r.includes('conflict') ||
|
||||
r.includes('mergestate=dirty') ||
|
||||
r.includes('not mergeable')
|
||||
) return 'pipeline/blocked:conflict';
|
||||
if (
|
||||
r.includes('manual') ||
|
||||
r.includes('requires manual') ||
|
||||
r.includes('sensitive path') ||
|
||||
r.includes('no-auto-merge') ||
|
||||
r.includes('manual-only label') ||
|
||||
r.includes('without test') ||
|
||||
r.includes('files changed') ||
|
||||
r.includes('possible secret') ||
|
||||
r.includes('agent.py')
|
||||
) return 'pipeline/blocked:manual-review';
|
||||
if (r.includes('recent @claude') || r.includes('post-push buffer')) return 'pipeline/blocked:cooldown';
|
||||
if (r.includes('stale final')) return 'pipeline/blocked:stale-final';
|
||||
if (r.includes('no final claude')) return 'pipeline/blocked:no-final';
|
||||
if (r.includes('final claude not complete')) return 'pipeline/blocked:stale-final';
|
||||
if (r.includes('claude.yml in progress') || r.includes('claude-merge-gate-active')) {
|
||||
return null;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
function deriveBlockerLabels(evalResult) {
|
||||
if (evalResult.ready) return [];
|
||||
const labels = new Set();
|
||||
for (const reason of evalResult.reasons || []) {
|
||||
const mapped = reasonToBlockerLabel(reason);
|
||||
if (mapped && mapped.startsWith('pipeline/blocked:')) labels.add(mapped);
|
||||
}
|
||||
return [...labels];
|
||||
}
|
||||
|
||||
function computePipelineLabels(comments, evalResult) {
|
||||
const stage = deriveStage(comments, evalResult);
|
||||
const blockers = stage === 'pipeline/merge-ready' ? [] : deriveBlockerLabels(evalResult);
|
||||
return { stage, blockers, all: [stage, ...blockers] };
|
||||
}
|
||||
|
||||
async function ensurePipelineLabels(github, owner, repo, core) {
|
||||
let existing;
|
||||
if (typeof github.paginate === 'function') {
|
||||
existing = await github.paginate(github.rest.issues.listLabelsForRepo, {
|
||||
owner,
|
||||
repo,
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
({ data: existing } = await github.rest.issues.listLabelsForRepo({
|
||||
owner,
|
||||
repo,
|
||||
per_page: 100,
|
||||
}));
|
||||
}
|
||||
const names = new Set(existing.map((l) => l.name));
|
||||
for (const spec of LABEL_SPECS) {
|
||||
if (names.has(spec.name)) continue;
|
||||
try {
|
||||
await github.rest.issues.createLabel({
|
||||
owner,
|
||||
repo,
|
||||
name: spec.name,
|
||||
color: spec.color,
|
||||
description: spec.description,
|
||||
});
|
||||
core?.info?.(`Created label ${spec.name}`);
|
||||
} catch (err) {
|
||||
if (err.status !== 422) throw err;
|
||||
core?.info?.(`Label ${spec.name} already exists`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function syncPipelineLabels(github, owner, repo, prNumber, core) {
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
if (ctx.pr.state !== 'open') return { synced: false, reason: 'not_open' };
|
||||
|
||||
const evalResult = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core
|
||||
);
|
||||
const { stage, blockers, all } = computePipelineLabels(ctx.comments, evalResult);
|
||||
|
||||
const current = ctx.labels.filter((l) => l.startsWith(PIPELINE_PREFIX));
|
||||
const desired = new Set(all);
|
||||
const toRemove = current.filter((l) => !desired.has(l) && l !== 'pipeline/merged');
|
||||
const toAdd = all.filter((l) => !current.includes(l));
|
||||
|
||||
for (const name of toRemove) {
|
||||
try {
|
||||
await github.rest.issues.removeLabel({ owner, repo, issue_number: prNumber, name });
|
||||
} catch (err) {
|
||||
if (err.status !== 404) throw err;
|
||||
}
|
||||
}
|
||||
if (toAdd.length) {
|
||||
await github.rest.issues.addLabels({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
labels: toAdd,
|
||||
});
|
||||
}
|
||||
|
||||
core?.info?.(`PR #${prNumber}: stage=${stage} blockers=[${blockers.join(', ')}]`);
|
||||
return {
|
||||
synced: true,
|
||||
stage,
|
||||
blockers,
|
||||
ready: evalResult.ready,
|
||||
reasons: evalResult.reasons,
|
||||
labels: ctx.labels,
|
||||
createdAt: new Date(ctx.pr.created_at).getTime(),
|
||||
};
|
||||
}
|
||||
|
||||
async function dispatchMergeGateForOldestReady(github, owner, repo, readyCandidates, core) {
|
||||
if (!readyCandidates.length) return 0;
|
||||
readyCandidates.sort((a, b) => a.createdAt - b.createdAt);
|
||||
for (const cand of readyCandidates) {
|
||||
if ((cand.labels || []).includes('claude-merge-gate-active')) {
|
||||
core?.info?.(`Skip dispatch PR #${cand.prNumber}: merge gate already active`);
|
||||
continue;
|
||||
}
|
||||
await github.rest.repos.createDispatchEvent({
|
||||
owner,
|
||||
repo,
|
||||
event_type: 'claude-merge-gate',
|
||||
client_payload: { pr_number: cand.prNumber },
|
||||
});
|
||||
core?.info?.(`Dispatched merge gate for ready PR #${cand.prNumber}`);
|
||||
return cand.prNumber;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
async function syncOpenPullRequests(github, owner, repo, options, core) {
|
||||
const { maxPrs = 20, dispatchMergeGate = true } = options || {};
|
||||
await ensurePipelineLabels(github, owner, repo, core);
|
||||
let prs;
|
||||
if (maxPrs <= 100) {
|
||||
({ data: prs } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
}));
|
||||
} else {
|
||||
prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
let synced = 0;
|
||||
const readyCandidates = [];
|
||||
for (const pr of prs) {
|
||||
if (synced >= maxPrs) break;
|
||||
if (pr.draft) continue;
|
||||
if (pr.head?.repo?.full_name && pr.head.repo.full_name !== `${owner}/${repo}`) continue;
|
||||
const result = await syncPipelineLabels(github, owner, repo, pr.number, core);
|
||||
if (result.ready) {
|
||||
readyCandidates.push({
|
||||
prNumber: pr.number,
|
||||
createdAt: result.createdAt || new Date(pr.created_at).getTime(),
|
||||
labels: result.labels || [],
|
||||
});
|
||||
}
|
||||
synced += 1;
|
||||
}
|
||||
let dispatched = 0;
|
||||
if (dispatchMergeGate && readyCandidates.length) {
|
||||
dispatched = await dispatchMergeGateForOldestReady(
|
||||
github, owner, repo, readyCandidates, core
|
||||
);
|
||||
}
|
||||
core?.info?.(`Pipeline label sync complete (${synced} PR(s), dispatched=${dispatched || 'none'})`);
|
||||
return synced;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
STAGE_LABELS,
|
||||
BLOCKER_LABELS,
|
||||
ALL_PIPELINE_LABELS,
|
||||
deriveStage,
|
||||
deriveBlockerLabels,
|
||||
computePipelineLabels,
|
||||
ensurePipelineLabels,
|
||||
syncPipelineLabels,
|
||||
syncOpenPullRequests,
|
||||
dispatchMergeGateForOldestReady,
|
||||
};
|
||||
@@ -1,84 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
const chain = require('./pr-review-chain.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
const coderabbit = {
|
||||
user: { login: 'coderabbitai[bot]' },
|
||||
body: '<!-- summarize by coderabbit.ai --> summary',
|
||||
created_at: '2026-07-02T07:16:00Z',
|
||||
};
|
||||
const greptile = {
|
||||
user: { login: 'greptile-apps[bot]' },
|
||||
body: '<h3>Greptile Summary</h3><p>Looks good</p>',
|
||||
created_at: '2026-07-02T07:19:00Z',
|
||||
};
|
||||
const copilotKick = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@copilot Do a thorough review',
|
||||
created_at: '2026-07-02T07:20:00Z',
|
||||
};
|
||||
const copilotReply = {
|
||||
user: { login: 'copilot-swe-agent' },
|
||||
body: 'Copilot review here',
|
||||
created_at: '2026-07-02T07:22:00Z',
|
||||
};
|
||||
|
||||
assert('prior not ready without greptile', !chain.priorReviewersReady([coderabbit]).ready);
|
||||
assert('prior ready with coderabbit + greptile', chain.priorReviewersReady([coderabbit, greptile]).ready);
|
||||
assert('copilot not ready before trigger', !chain.copilotReviewReady([coderabbit, greptile]).ready);
|
||||
assert(
|
||||
'copilot ready after reply',
|
||||
chain.copilotReviewReady([coderabbit, greptile, copilotKick, copilotReply]).ready
|
||||
);
|
||||
assert(
|
||||
'claude not ready before copilot',
|
||||
!chain.claudeFinalReady([coderabbit, greptile]).ready
|
||||
);
|
||||
assert(
|
||||
'claude ready after full chain',
|
||||
chain.claudeFinalReady([coderabbit, greptile, copilotKick, copilotReply]).ready
|
||||
);
|
||||
assert(
|
||||
'claude timeout fallback when copilot triggered but silent',
|
||||
chain.claudeFinalReady([coderabbit, greptile, copilotKick], [], { allowCopilotTimeout: true }).ready
|
||||
);
|
||||
assert(
|
||||
'no timeout fallback without copilot trigger',
|
||||
!chain.claudeFinalReady([coderabbit, greptile], [], { allowCopilotTimeout: true }).ready
|
||||
);
|
||||
assert(
|
||||
'skipCopilot proceeds after prior reviewers',
|
||||
chain.claudeFinalReady([coderabbit, greptile], [], { skipCopilot: true }).ready
|
||||
);
|
||||
const prev = process.env.REVIEW_CHAIN_SKIP_COPILOT;
|
||||
process.env.REVIEW_CHAIN_SKIP_COPILOT = '1';
|
||||
assert(
|
||||
'REVIEW_CHAIN_SKIP_COPILOT env skips copilot',
|
||||
chain.claudeFinalReady([coderabbit, greptile], [], {}).ready
|
||||
);
|
||||
process.env.REVIEW_CHAIN_SKIP_COPILOT = prev;
|
||||
|
||||
const geminiReview = {
|
||||
user: { login: 'gemini-code-assist[bot]' },
|
||||
body: '## Code Review\n\nThis pull request decomposes the large main.py file',
|
||||
submitted_at: '2026-07-03T08:08:00Z',
|
||||
};
|
||||
assert(
|
||||
'gemini pull review counts as prior reviewer',
|
||||
chain.hasGeminiReview([], [geminiReview])
|
||||
);
|
||||
assert(
|
||||
'prior ready with gemini review only (no gemini comment)',
|
||||
chain.priorReviewersReady([coderabbit, greptile], [geminiReview], { optionalWaitMs: 0 }).ready
|
||||
);
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,298 +0,0 @@
|
||||
/**
|
||||
* PR review pipeline: CodeRabbit / Greptile (+ optional Qodo/Gemini) → Claude (FINAL).
|
||||
* Copilot step optional — set REVIEW_CHAIN_SKIP_COPILOT=1 or skipCopilot: true to bypass.
|
||||
* @see .github/workflows/auto-pr-comment.yml
|
||||
*/
|
||||
|
||||
function isSkipCopilot(options = {}) {
|
||||
if (options.skipCopilot === true) return true;
|
||||
if (options.skipCopilot === false) return false;
|
||||
return process.env.REVIEW_CHAIN_SKIP_COPILOT === '1';
|
||||
}
|
||||
|
||||
const COPILOT_TRIGGER_LOGINS = new Set(['MervinPraison', 'github-actions[bot]']);
|
||||
const CLAUDE_TRIGGER_LOGINS = new Set(['MervinPraison', 'github-actions[bot]']);
|
||||
|
||||
const REQUIRED_PRIOR = ['coderabbit', 'greptile'];
|
||||
const OPTIONAL_PRIOR = ['qodo', 'gemini'];
|
||||
const OPTIONAL_PRIOR_WAIT_MS = 20 * 60 * 1000;
|
||||
|
||||
function loginOf(item) {
|
||||
return (item?.user?.login || '').toLowerCase();
|
||||
}
|
||||
|
||||
function bodyOf(item) {
|
||||
return item?.body || '';
|
||||
}
|
||||
|
||||
function hasCoderabbitSummary(comments) {
|
||||
return comments.some(
|
||||
(c) =>
|
||||
loginOf(c).includes('coderabbit') &&
|
||||
bodyOf(c).toLowerCase().includes('summarize by coderabbit')
|
||||
);
|
||||
}
|
||||
|
||||
function hasGreptileReview(comments) {
|
||||
return comments.some((c) => {
|
||||
if (!loginOf(c).includes('greptile')) return false;
|
||||
const body = bodyOf(c);
|
||||
return body.includes('Greptile Summary') || body.includes('<h3>Greptile Summary</h3>') || body.length > 150;
|
||||
});
|
||||
}
|
||||
|
||||
function hasQodoReview(comments, reviews = []) {
|
||||
if (comments.some((c) => loginOf(c).includes('qodo'))) return true;
|
||||
return reviews.some((r) => loginOf(r).includes('qodo'));
|
||||
}
|
||||
|
||||
function hasGeminiReview(comments, reviews = []) {
|
||||
if (reviews.some((r) => loginOf(r).includes('gemini'))) return true;
|
||||
return comments.some((c) => {
|
||||
if (loginOf(c).includes('gemini')) return true;
|
||||
const body = bodyOf(c);
|
||||
return (
|
||||
body.includes('Review completed by Gemini CLI') ||
|
||||
body.includes('The fix is ready for review. Please test')
|
||||
);
|
||||
});
|
||||
}
|
||||
|
||||
const PRIOR_CHECKS = {
|
||||
coderabbit: (comments) => hasCoderabbitSummary(comments),
|
||||
greptile: (comments) => hasGreptileReview(comments),
|
||||
qodo: (comments, reviews) => hasQodoReview(comments, reviews),
|
||||
gemini: (comments, reviews) => hasGeminiReview(comments, reviews),
|
||||
};
|
||||
|
||||
function priorReviewerStatus(comments, reviews = []) {
|
||||
const status = {};
|
||||
for (const [id, check] of Object.entries(PRIOR_CHECKS)) {
|
||||
status[id] = check(comments, reviews);
|
||||
}
|
||||
return status;
|
||||
}
|
||||
|
||||
function priorReviewersReady(comments, reviews = [], options = {}) {
|
||||
const waitMs = options.optionalWaitMs ?? OPTIONAL_PRIOR_WAIT_MS;
|
||||
const prCreatedAt = options.prCreatedAt || null;
|
||||
const status = priorReviewerStatus(comments, reviews);
|
||||
|
||||
const missingRequired = REQUIRED_PRIOR.filter((id) => !status[id]);
|
||||
if (missingRequired.length) {
|
||||
return { ready: false, reason: `waiting for ${missingRequired.join(', ')}`, status };
|
||||
}
|
||||
|
||||
const missingOptional = OPTIONAL_PRIOR.filter((id) => !status[id]);
|
||||
if (missingOptional.length && prCreatedAt) {
|
||||
const age = Date.now() - new Date(prCreatedAt).getTime();
|
||||
if (age < waitMs) {
|
||||
return {
|
||||
ready: false,
|
||||
reason: `waiting for optional ${missingOptional.join(', ')} (${Math.round((waitMs - age) / 60000)}m left)`,
|
||||
status,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
return { ready: true, reason: '', status };
|
||||
}
|
||||
|
||||
function copilotTriggerComment(comments) {
|
||||
return comments.find(
|
||||
(c) =>
|
||||
bodyOf(c).includes('@copilot') &&
|
||||
COPILOT_TRIGGER_LOGINS.has(c.user?.login) &&
|
||||
!bodyOf(c).toLowerCase().includes('@claude')
|
||||
);
|
||||
}
|
||||
|
||||
function copilotTriggered(comments) {
|
||||
return Boolean(copilotTriggerComment(comments));
|
||||
}
|
||||
|
||||
function copilotReviewReady(comments, reviews = []) {
|
||||
const trigger = copilotTriggerComment(comments);
|
||||
if (!trigger) {
|
||||
return { ready: false, reason: 'copilot not triggered yet' };
|
||||
}
|
||||
const triggerTime = new Date(trigger.created_at).getTime();
|
||||
const copilotComment = comments.some((c) => {
|
||||
if (c === trigger) return false;
|
||||
if (new Date(c.created_at).getTime() < triggerTime) return false;
|
||||
const login = loginOf(c);
|
||||
return (
|
||||
login.includes('copilot') ||
|
||||
c.user?.login === 'Copilot' ||
|
||||
c.user?.login === 'copilot-swe-agent'
|
||||
);
|
||||
});
|
||||
const copilotReview = reviews.some((r) => {
|
||||
if (new Date(r.submitted_at).getTime() < triggerTime) return false;
|
||||
return loginOf(r).includes('copilot');
|
||||
});
|
||||
if (copilotComment || copilotReview) {
|
||||
return { ready: true, reason: '' };
|
||||
}
|
||||
return { ready: false, reason: 'awaiting copilot review' };
|
||||
}
|
||||
|
||||
function isFinalClaudeTriggerComment(c) {
|
||||
const body = bodyOf(c).toLowerCase();
|
||||
if (!CLAUDE_TRIGGER_LOGINS.has(c.user?.login)) return false;
|
||||
if (!body.includes('@claude')) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
}
|
||||
|
||||
function claudeFinalAlreadyTriggered(comments) {
|
||||
return comments.some(isFinalClaudeTriggerComment);
|
||||
}
|
||||
|
||||
function claudeFinalReady(comments, reviews = [], options = {}) {
|
||||
if (claudeFinalAlreadyTriggered(comments)) {
|
||||
return { ready: false, reason: 'claude FINAL already triggered', already: true };
|
||||
}
|
||||
const prior = priorReviewersReady(comments, reviews, options);
|
||||
if (!prior.ready) {
|
||||
return { ready: false, reason: prior.reason };
|
||||
}
|
||||
if (isSkipCopilot(options)) {
|
||||
return { ready: true, reason: 'copilot skipped', copilotSkipped: true };
|
||||
}
|
||||
const copilot = copilotReviewReady(comments, reviews);
|
||||
if (copilot.ready) {
|
||||
return { ready: true, reason: '' };
|
||||
}
|
||||
if (options.allowCopilotTimeout && copilotTriggered(comments)) {
|
||||
return { ready: true, reason: 'copilot timeout fallback', copilotSkipped: true };
|
||||
}
|
||||
return { ready: false, reason: copilot.reason };
|
||||
}
|
||||
|
||||
/** Post @copilot when prior reviewers are ready, then @claude FINAL when Copilot done (or timeout). */
|
||||
async function advanceReviewChain(github, owner, repo, prNumber, finalBody, core, options = {}) {
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const chainOpts = {
|
||||
prCreatedAt: pr.created_at,
|
||||
optionalWaitMs: options.optionalWaitMs ?? 0,
|
||||
};
|
||||
const copilot = options.skipCopilot
|
||||
? { triggered: false, reason: 'skipped' }
|
||||
: await maybeTriggerCopilot(github, owner, repo, prNumber, core, chainOpts);
|
||||
const claude = await maybeTriggerClaudeFinal(
|
||||
github, owner, repo, prNumber, finalBody, core,
|
||||
{ ...options, ...chainOpts }
|
||||
);
|
||||
return { copilot, claude };
|
||||
}
|
||||
|
||||
async function maybeTriggerClaudeFinal(github, owner, repo, prNumber, finalBody, core, options = {}) {
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const { comments, reviews } = await listCommentsAndReviews(github, owner, repo, prNumber);
|
||||
const gate = claudeFinalReady(comments, reviews, {
|
||||
prCreatedAt: pr.created_at,
|
||||
optionalWaitMs: options.optionalWaitMs,
|
||||
allowCopilotTimeout: options.allowCopilotTimeout !== false,
|
||||
});
|
||||
if (!gate.ready) {
|
||||
core?.info?.(`PR #${prNumber}: skip Claude FINAL — ${gate.reason}`);
|
||||
return { posted: false, reason: gate.reason };
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: finalBody,
|
||||
});
|
||||
const note = gate.copilotSkipped ? ' (Copilot timeout fallback)' : '';
|
||||
core?.info?.(`Posted Claude FINAL on PR #${prNumber}${note}`);
|
||||
return { posted: true, reason: '' };
|
||||
}
|
||||
|
||||
const COPILOT_REVIEW_BODY =
|
||||
'@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above from Qodo, CodeRabbit, Gemini, and Greptile first — incorporate their findings.\n\nReview areas:\n1. **Bloat check**: Are changes minimal and focused? Any unnecessary code or scope creep?\n2. **Security**: Any hardcoded secrets, unsafe eval/exec, missing input validation?\n3. **Performance**: Any module-level heavy imports? Hot-path regressions?\n4. **Tests**: Are tests included? Do they cover the changes adequately?\n5. **Backward compat**: Any public API changes without deprecation?\n6. **Code quality**: DRY violations, naming conventions, error handling?\n7. **Address reviewer feedback**: If Qodo, CodeRabbit, Gemini, or Greptile flagged valid issues, include them in your review\n8. Suggest specific improvements with code examples where possible';
|
||||
|
||||
async function listCommentsAndReviews(github, owner, repo, prNumber) {
|
||||
let comments;
|
||||
if (typeof github.paginate === 'function') {
|
||||
comments = await github.paginate(github.rest.issues.listComments, {
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
const { data } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
comments = data;
|
||||
}
|
||||
const { data: reviews } = await github.rest.pulls.listReviews({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return { comments, reviews };
|
||||
}
|
||||
|
||||
async function maybeTriggerCopilot(github, owner, repo, prNumber, core, options = {}) {
|
||||
const { comments, reviews } = await listCommentsAndReviews(github, owner, repo, prNumber);
|
||||
if (copilotTriggered(comments)) {
|
||||
core?.info?.(`Copilot already triggered on PR #${prNumber}`);
|
||||
return { triggered: false, reason: 'already_triggered' };
|
||||
}
|
||||
const prior = priorReviewersReady(comments, reviews, options);
|
||||
if (!prior.ready) {
|
||||
core?.info?.(`PR #${prNumber}: not ready for Copilot — ${prior.reason}`);
|
||||
return { triggered: false, reason: prior.reason };
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: COPILOT_REVIEW_BODY,
|
||||
});
|
||||
core?.info?.(`Posted @copilot on PR #${prNumber} after prior reviewers`);
|
||||
return { triggered: true };
|
||||
}
|
||||
|
||||
async function pollCopilotResponse(github, owner, repo, prNumber, options = {}) {
|
||||
const maxAttempts = options.maxAttempts ?? 20;
|
||||
const delayMs = options.delayMs ?? 30000;
|
||||
for (let i = 0; i < maxAttempts; i += 1) {
|
||||
const { comments, reviews } = await listCommentsAndReviews(github, owner, repo, prNumber);
|
||||
const copilot = copilotReviewReady(comments, reviews);
|
||||
if (copilot.ready) {
|
||||
return { ready: true, reason: '' };
|
||||
}
|
||||
if (i < maxAttempts - 1) {
|
||||
await new Promise((resolve) => setTimeout(resolve, delayMs));
|
||||
}
|
||||
}
|
||||
return { ready: false, reason: 'copilot timeout' };
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
isSkipCopilot,
|
||||
REQUIRED_PRIOR,
|
||||
OPTIONAL_PRIOR,
|
||||
COPILOT_REVIEW_BODY,
|
||||
priorReviewerStatus,
|
||||
priorReviewersReady,
|
||||
copilotTriggered,
|
||||
copilotReviewReady,
|
||||
claudeFinalReady,
|
||||
claudeFinalAlreadyTriggered,
|
||||
isFinalClaudeTriggerComment,
|
||||
maybeTriggerCopilot,
|
||||
maybeTriggerClaudeFinal,
|
||||
advanceReviewChain,
|
||||
pollCopilotResponse,
|
||||
hasGeminiReview,
|
||||
listCommentsAndReviews,
|
||||
};
|
||||
@@ -1,20 +0,0 @@
|
||||
const assert = require('assert');
|
||||
const rg = require('./release-gate.js');
|
||||
|
||||
assert.strictEqual(rg.bumpPatch('1.6.80'), '1.6.81');
|
||||
assert.strictEqual(rg.bumpPatch('4.6.80'), '4.6.81');
|
||||
assert.strictEqual(rg.bumpPatch('0.0.2'), '0.0.3');
|
||||
|
||||
const versions = rg.readVersionsFromTree();
|
||||
assert.ok(versions.currentAgents);
|
||||
assert.ok(versions.currentCode);
|
||||
assert.ok(versions.currentWrapper);
|
||||
assert.ok(versions.targetCode);
|
||||
assert.ok(rg.PACKAGE_PATHS.includes('src/praisonai-code'));
|
||||
|
||||
(async () => {
|
||||
assert.strictEqual(await rg.pypiVersionExists('praisonaiagents', '0.0.0'), false);
|
||||
console.log('ok: bumpPatch');
|
||||
console.log('ok: readVersionsFromTree');
|
||||
console.log('ok: pypiVersionExists missing version');
|
||||
})();
|
||||
@@ -1,203 +0,0 @@
|
||||
/**
|
||||
* Release gate preflight — path changes, CI SHA, dedupe, PyPI version checks.
|
||||
*/
|
||||
|
||||
const https = require('https');
|
||||
|
||||
const PACKAGE_PATHS = ['src/praisonai', 'src/praisonai-agents', 'src/praisonai-code'];
|
||||
const ACTIVE_RELEASE_STATUSES = new Set([
|
||||
'queued', 'in_progress', 'waiting', 'pending', 'requested',
|
||||
]);
|
||||
|
||||
function bumpPatch(version) {
|
||||
const parts = version.split('.');
|
||||
if (parts.length !== 3) throw new Error(`Invalid version: ${version}`);
|
||||
return `${parts[0]}.${parts[1]}.${Number(parts[2]) + 1}`;
|
||||
}
|
||||
|
||||
function readVersionsFromTree(root = '.') {
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const agentsToml = fs.readFileSync(
|
||||
path.join(root, 'src/praisonai-agents/pyproject.toml'), 'utf8'
|
||||
);
|
||||
const agentsMatch = agentsToml.match(/^version\s*=\s*"([^"]+)"/m);
|
||||
if (!agentsMatch) throw new Error('Could not read agents version');
|
||||
|
||||
const codeToml = fs.readFileSync(
|
||||
path.join(root, 'src/praisonai-code/pyproject.toml'), 'utf8'
|
||||
);
|
||||
const codeMatch = codeToml.match(/^version\s*=\s*"([^"]+)"/m);
|
||||
if (!codeMatch) throw new Error('Could not read praisonai-code version');
|
||||
|
||||
const wrapperPy = fs.readFileSync(
|
||||
path.join(root, 'src/praisonai/praisonai/version.py'), 'utf8'
|
||||
);
|
||||
const wrapperMatch = wrapperPy.match(/__version__ = "([^"]+)"/);
|
||||
if (!wrapperMatch) throw new Error('Could not read wrapper version');
|
||||
return {
|
||||
currentAgents: agentsMatch[1],
|
||||
currentCode: codeMatch[1],
|
||||
currentWrapper: wrapperMatch[1],
|
||||
targetAgents: bumpPatch(agentsMatch[1]),
|
||||
targetCode: bumpPatch(codeMatch[1]),
|
||||
targetWrapper: bumpPatch(wrapperMatch[1]),
|
||||
};
|
||||
}
|
||||
|
||||
function pypiVersionExists(packageName, version) {
|
||||
return new Promise((resolve) => {
|
||||
const req = https.get(
|
||||
`https://pypi.org/pypi/${packageName}/${version}/json`,
|
||||
{ timeout: 15000 },
|
||||
(res) => {
|
||||
res.resume();
|
||||
resolve(res.statusCode === 200);
|
||||
}
|
||||
);
|
||||
req.on('error', () => resolve(false));
|
||||
req.on('timeout', () => {
|
||||
req.destroy();
|
||||
resolve(false);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
async function hasActiveReleaseRun(github, owner, repo) {
|
||||
const runs = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
workflow_id: 'pypi-release.yml',
|
||||
per_page: 20,
|
||||
});
|
||||
return runs.data.workflow_runs.some(
|
||||
(r) => ACTIVE_RELEASE_STATUSES.has(r.status) && !r.conclusion
|
||||
);
|
||||
}
|
||||
|
||||
async function lastGreenCoreTestsSha(github, owner, repo) {
|
||||
const runs = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
workflow_id: 'test-core.yml',
|
||||
branch: 'main',
|
||||
status: 'completed',
|
||||
per_page: 30,
|
||||
});
|
||||
const hit = runs.data.workflow_runs.find((r) => r.conclusion === 'success');
|
||||
return hit ? hit.head_sha : '';
|
||||
}
|
||||
|
||||
async function evaluateReleasePreflight(github, owner, repo, options, core) {
|
||||
const {
|
||||
headSha,
|
||||
isCiTrigger = false,
|
||||
bump = 'patch',
|
||||
} = options;
|
||||
|
||||
const reasons = [];
|
||||
const out = {
|
||||
ready: false,
|
||||
reasons,
|
||||
headSha: headSha || '',
|
||||
lastTag: '',
|
||||
targetAgents: '',
|
||||
targetCode: '',
|
||||
targetWrapper: '',
|
||||
};
|
||||
|
||||
if (bump !== 'patch') {
|
||||
reasons.push('only patch auto-release supported');
|
||||
return out;
|
||||
}
|
||||
|
||||
if (await hasActiveReleaseRun(github, owner, repo)) {
|
||||
reasons.push('PyPI Release already in progress or awaiting approval');
|
||||
return out;
|
||||
}
|
||||
|
||||
let versions;
|
||||
try {
|
||||
versions = readVersionsFromTree();
|
||||
} catch (err) {
|
||||
reasons.push(err.message);
|
||||
return out;
|
||||
}
|
||||
out.targetAgents = versions.targetAgents;
|
||||
out.targetCode = versions.targetCode;
|
||||
out.targetWrapper = versions.targetWrapper;
|
||||
|
||||
const agentsOnPypi = await pypiVersionExists('praisonaiagents', versions.targetAgents);
|
||||
const codeOnPypi = await pypiVersionExists('praisonai-code', versions.targetCode);
|
||||
const wrapperOnPypi = await pypiVersionExists('praisonai', versions.targetWrapper);
|
||||
if (agentsOnPypi && codeOnPypi && wrapperOnPypi) {
|
||||
reasons.push(
|
||||
`already published: praisonaiagents==${versions.targetAgents}, `
|
||||
+ `praisonai-code==${versions.targetCode}, praisonai==${versions.targetWrapper}`
|
||||
);
|
||||
return out;
|
||||
}
|
||||
|
||||
const { execSync } = require('child_process');
|
||||
let lastTag = '';
|
||||
try {
|
||||
lastTag = execSync('git describe --tags --match "v*" --abbrev=0', { encoding: 'utf8' }).trim();
|
||||
} catch {
|
||||
reasons.push('no v* tag found');
|
||||
return out;
|
||||
}
|
||||
out.lastTag = lastTag;
|
||||
|
||||
let changed = '';
|
||||
try {
|
||||
changed = execSync(
|
||||
`git diff --name-only ${lastTag} HEAD -- ${PACKAGE_PATHS.join(' ')}`,
|
||||
{ encoding: 'utf8' }
|
||||
).trim();
|
||||
} catch {
|
||||
reasons.push('git diff failed');
|
||||
return out;
|
||||
}
|
||||
|
||||
if (!changed) {
|
||||
reasons.push(`no changes in ${PACKAGE_PATHS.join(' or ')} since ${lastTag}`);
|
||||
return out;
|
||||
}
|
||||
|
||||
if (isCiTrigger) {
|
||||
let mainSha = '';
|
||||
try {
|
||||
mainSha = execSync('git rev-parse origin/main', { encoding: 'utf8' }).trim();
|
||||
} catch {
|
||||
reasons.push('could not resolve origin/main');
|
||||
return out;
|
||||
}
|
||||
if (headSha !== mainSha) {
|
||||
reasons.push(`superseded: green SHA ${headSha.slice(0, 7)} != main ${mainSha.slice(0, 7)}`);
|
||||
return out;
|
||||
}
|
||||
out.headSha = headSha;
|
||||
} else {
|
||||
const evalSha = execSync('git rev-parse HEAD', { encoding: 'utf8' }).trim();
|
||||
out.headSha = evalSha;
|
||||
const greenSha = await lastGreenCoreTestsSha(github, owner, repo);
|
||||
if (greenSha !== evalSha) {
|
||||
reasons.push(`CI not green on HEAD (last green: ${greenSha ? greenSha.slice(0, 7) : 'none'})`);
|
||||
return out;
|
||||
}
|
||||
}
|
||||
|
||||
out.ready = true;
|
||||
out.reasons = ['ready'];
|
||||
if (core) core.info(`Release preflight passed for ${out.headSha || headSha}`);
|
||||
return out;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
bumpPatch,
|
||||
readVersionsFromTree,
|
||||
pypiVersionExists,
|
||||
evaluateReleasePreflight,
|
||||
ACTIVE_RELEASE_STATUSES,
|
||||
PACKAGE_PATHS,
|
||||
};
|
||||
@@ -1,8 +1,11 @@
|
||||
name: Auto PR Comment
|
||||
|
||||
# Review chain: CodeRabbit + Greptile (+ optional Qodo/Gemini) → Claude (FINAL)
|
||||
# Copilot disabled (REVIEW_CHAIN_SKIP_COPILOT=1) — re-enable copilot-* jobs to restore.
|
||||
# Fork PR jobs use pull_request_target so GH_TOKEN is available for comments.
|
||||
# Review chain: CodeRabbit/Qodo/Gemini review first → Copilot → Claude (final)
|
||||
# For human PRs: CodeRabbit/Qodo auto-review → this workflow triggers Copilot → then Claude
|
||||
# For bot PRs: CodeRabbit/Qodo skip bots, so we trigger them explicitly first
|
||||
#
|
||||
# IMPORTANT: @copilot ignores bot comments. All @copilot mentions must use
|
||||
# PAT_TOKEN so the comment posts as MervinPraison (a real user).
|
||||
#
|
||||
# Claude trigger runs IN-BAND (same workflow) to avoid GitHub Actions
|
||||
# blocking bot-triggered workflows with action_required approval gates.
|
||||
@@ -12,247 +15,466 @@ on:
|
||||
pull_request_review:
|
||||
types: [submitted]
|
||||
pull_request:
|
||||
types: [opened, synchronize]
|
||||
pull_request_target:
|
||||
types: [opened, synchronize]
|
||||
schedule:
|
||||
- cron: '30 3,9,15,21 * * *'
|
||||
workflow_dispatch:
|
||||
types: [opened]
|
||||
|
||||
env:
|
||||
REVIEW_CHAIN_SKIP_COPILOT: '1'
|
||||
MAX_POLL_ATTEMPTS: 20
|
||||
POLL_DELAY_MS: 30000
|
||||
CLAUDE_TRIGGER_LOGINS: '["MervinPraison","github-actions[bot]"]'
|
||||
|
||||
jobs:
|
||||
# ================================================================
|
||||
# Claude FINAL after CodeRabbit / Greptile / optional Qodo / Gemini
|
||||
# HUMAN PRs: Trigger @copilot AFTER CodeRabbit posts its summary
|
||||
# ================================================================
|
||||
claude-after-prior-reviewers:
|
||||
copilot-after-coderabbit:
|
||||
if: |
|
||||
(github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
(
|
||||
github.event.comment.user.login == 'coderabbitai[bot]' ||
|
||||
github.event.comment.user.login == 'greptile-apps[bot]' ||
|
||||
contains(github.event.comment.user.login, 'gemini-code-assist') ||
|
||||
contains(github.event.comment.user.login, 'qodo-code-review')
|
||||
)) ||
|
||||
(github.event_name == 'pull_request_review' &&
|
||||
contains(github.event.review.user.login, 'qodo-code-review'))
|
||||
github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
github.event.comment.user.login == 'coderabbitai[bot]' &&
|
||||
contains(github.event.comment.body, 'summarize by coderabbit')
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
pull-requests: write
|
||||
outputs:
|
||||
pr_number: ${{ steps.trigger.outputs.pr_number }}
|
||||
triggered: ${{ steps.trigger.outputs.triggered }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Post Claude FINAL after prior reviewers
|
||||
- name: Post Copilot review request (as user via PAT)
|
||||
id: trigger
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pr-review-chain.js'));
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const prNumber =
|
||||
context.payload.issue?.number ||
|
||||
context.payload.pull_request?.number;
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const { data: pr } = await github.rest.pulls.get({
|
||||
owner, repo, pull_number: prNumber,
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const result = await chain.maybeTriggerClaudeFinal(
|
||||
github, owner, repo, prNumber,
|
||||
mergeGate.FINAL_CLAUDE_REVIEW_BODY, core,
|
||||
{ skipCopilot: true, optionalWaitMs: 0, prCreatedAt: pr.created_at }
|
||||
// Check for duplicates — posted by MervinPraison (PAT) or github-actions[bot] (legacy)
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@copilot') &&
|
||||
(c.user.login === 'MervinPraison' || c.user.login === 'github-actions[bot]')
|
||||
);
|
||||
if (result.posted) core.info(`Posted Claude FINAL on PR #${prNumber}`);
|
||||
await ps.ensurePipelineLabels(github, owner, repo, core);
|
||||
await ps.syncPipelineLabels(github, owner, repo, prNumber, core);
|
||||
if (alreadyPosted) {
|
||||
console.log('Copilot already triggered, skipping');
|
||||
core.setOutput('triggered', 'false');
|
||||
core.setOutput('pr_number', context.issue.number.toString());
|
||||
return;
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above from Qodo, Coderabbit, and Gemini first — incorporate their findings.\n\nReview areas:\n1. **Bloat check**: Are changes minimal and focused? Any unnecessary code or scope creep?\n2. **Security**: Any hardcoded secrets, unsafe eval/exec, missing input validation?\n3. **Performance**: Any module-level heavy imports? Hot-path regressions?\n4. **Tests**: Are tests included? Do they cover the changes adequately?\n5. **Backward compat**: Any public API changes without deprecation?\n6. **Code quality**: DRY violations, naming conventions, error handling?\n7. **Address reviewer feedback**: If Qodo, Coderabbit, or Gemini flagged valid issues, include them in your review\n8. Suggest specific improvements with code examples where possible'
|
||||
});
|
||||
core.setOutput('triggered', 'true');
|
||||
core.setOutput('pr_number', context.issue.number.toString());
|
||||
|
||||
# Fallback: Trigger @copilot after Qodo review (if Coderabbit doesn't fire)
|
||||
copilot-after-qodo:
|
||||
if: |
|
||||
github.event_name == 'pull_request_review' &&
|
||||
github.event.review.user.login == 'qodo-code-review[bot]'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
pull-requests: write
|
||||
outputs:
|
||||
pr_number: ${{ steps.trigger.outputs.pr_number }}
|
||||
triggered: ${{ steps.trigger.outputs.triggered }}
|
||||
steps:
|
||||
- name: Post Copilot review request (as user via PAT)
|
||||
id: trigger
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@copilot') &&
|
||||
(c.user.login === 'MervinPraison' || c.user.login === 'github-actions[bot]')
|
||||
);
|
||||
if (alreadyPosted) {
|
||||
console.log('Copilot already triggered, skipping');
|
||||
core.setOutput('triggered', 'false');
|
||||
core.setOutput('pr_number', context.issue.number.toString());
|
||||
return;
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above first.\n\nReview areas:\n1. **Bloat check**: Are changes minimal and focused?\n2. **Security**: Any hardcoded secrets, unsafe eval/exec, missing input validation?\n3. **Performance**: Any module-level heavy imports? Hot-path regressions?\n4. **Tests**: Are tests included? Do they cover the changes adequately?\n5. **Backward compat**: Any public API changes without deprecation?\n6. **Code quality**: DRY violations, naming conventions, error handling?\n7. Suggest specific improvements with code examples where possible'
|
||||
});
|
||||
core.setOutput('triggered', 'true');
|
||||
core.setOutput('pr_number', context.issue.number.toString());
|
||||
|
||||
# ================================================================
|
||||
# FALLBACK: Claude FINAL after PR open if reviewers are slow
|
||||
# FALLBACK: Claude trigger for cases where Copilot chain fails/skips
|
||||
# Ensures Claude always runs after sufficient review time
|
||||
# ================================================================
|
||||
claude-fallback-timeout:
|
||||
if: |
|
||||
github.event_name == 'pull_request_target' &&
|
||||
github.event_name == 'pull_request' &&
|
||||
github.event.action == 'opened'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 45
|
||||
timeout-minutes: 20
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
pull-requests: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Wait for prior reviewers (25 min)
|
||||
run: sleep 1500
|
||||
|
||||
- name: Post Claude FINAL (skip Copilot)
|
||||
- name: Wait for review window (15 min)
|
||||
run: sleep 900
|
||||
|
||||
- name: Check if Claude already triggered
|
||||
id: check_claude
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pr-review-chain.js'));
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await chain.maybeTriggerClaudeFinal(
|
||||
github, context.repo.owner, context.repo.repo, pr,
|
||||
mergeGate.FINAL_CLAUDE_REVIEW_BODY, core,
|
||||
{ skipCopilot: true, optionalWaitMs: 0 }
|
||||
const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@claude') && triggerLogins.includes(c.user.login)
|
||||
);
|
||||
|
||||
# ================================================================
|
||||
# Recovery: post FINAL @claude after push or when chain missed
|
||||
# ================================================================
|
||||
claude-review-recovery:
|
||||
if: |
|
||||
github.event_name == 'pull_request_target' &&
|
||||
github.event.action == 'synchronize'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Re-post FINAL Claude review when stale or missing
|
||||
core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
|
||||
core.setOutput('comments_count', comments.data.length.toString());
|
||||
|
||||
// Collect all bot reviewer comments for context
|
||||
const botReviews = comments.data.filter(c =>
|
||||
['coderabbitai[bot]', 'qodo-code-review[bot]', 'gemini-code-assist[bot]',
|
||||
'copilot-swe-agent', 'Copilot', 'greptile-apps[bot]'].some(bot =>
|
||||
c.user.login.toLowerCase().includes(bot.toLowerCase())
|
||||
)
|
||||
);
|
||||
core.setOutput('review_count', botReviews.length.toString());
|
||||
|
||||
- name: Aggregate reviews and trigger Claude
|
||||
if: steps.check_claude.outputs.already_triggered != 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pr-review-chain.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
const comments = await github.rest.issues.listComments({issue_number: context.issue.number, owner: context.repo.owner, repo: context.repo.repo, per_page: 100});
|
||||
const reviews = {coderabbit: [], qodo: [], gemini: [], copilot: [], greptile: [], others: []};
|
||||
comments.data.forEach(c => {
|
||||
const login = c.user.login.toLowerCase();
|
||||
const body = c.body.substring(0, 500);
|
||||
if (login.includes('coderabbit')) reviews.coderabbit.push(body);
|
||||
else if (login.includes('qodo')) reviews.qodo.push(body);
|
||||
else if (login.includes('gemini')) reviews.gemini.push(body);
|
||||
else if (login.includes('copilot')) reviews.copilot.push(body);
|
||||
else if (login.includes('greptile')) reviews.greptile.push(body);
|
||||
else if (c.user.type === 'Bot') reviews.others.push(body);
|
||||
});
|
||||
const summaryParts = [];
|
||||
if (reviews.coderabbit.length) summaryParts.push('CodeRabbit: ' + reviews.coderabbit.length + ' comments');
|
||||
if (reviews.qodo.length) summaryParts.push('Qodo: ' + reviews.qodo.length + ' comments');
|
||||
if (reviews.gemini.length) summaryParts.push('Gemini: ' + reviews.gemini.length + ' comments');
|
||||
if (reviews.copilot.length) summaryParts.push('Copilot: ' + reviews.copilot.length + ' comments');
|
||||
if (reviews.greptile.length) summaryParts.push('Greptile: ' + reviews.greptile.length + ' comments');
|
||||
const reviewSummary = summaryParts.length ? summaryParts.join(' | ') : 'No bot reviews detected';
|
||||
const claudeBody = '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. ' + reviewSummary + '.\n\n' +
|
||||
'Review Context: ' + comments.data.length + ' total comments, ' +
|
||||
(reviews.coderabbit.length + reviews.qodo.length + reviews.gemini.length + reviews.copilot.length + reviews.greptile.length) + ' bot reviews.\n\n' +
|
||||
'Phase 1: Review per AGENTS.md principles (protocol-driven, backward compatible, no perf impact).\n' +
|
||||
'Phase 2: FIX valid issues found by prior reviewers.\n' +
|
||||
'Phase 3: Provide final verdict (approve or request changes).';
|
||||
await github.rest.issues.createComment({issue_number: context.issue.number, owner: context.repo.owner, repo: context.repo.repo, body: claudeBody});
|
||||
console.log('Claude fallback triggered on PR #' + context.issue.number + ' with ' + reviewSummary);
|
||||
|
||||
# ================================================================
|
||||
# Claude FINAL review — polls for Copilot's response, then triggers
|
||||
# This runs IN-BAND under the PAT context (MervinPraison), avoiding
|
||||
# the action_required approval gate that blocks bot-triggered workflows.
|
||||
# ================================================================
|
||||
claude-after-copilot:
|
||||
needs: [copilot-after-coderabbit]
|
||||
if: |
|
||||
always() &&
|
||||
needs.copilot-after-coderabbit.result == 'success' &&
|
||||
needs.copilot-after-coderabbit.outputs.triggered == 'true'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 15
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Wait for Copilot to respond (poll)
|
||||
id: poll
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
|
||||
MAX_POLL_ATTEMPTS: ${{ env.MAX_POLL_ATTEMPTS }}
|
||||
POLL_DELAY_MS: ${{ env.POLL_DELAY_MS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
|
||||
const comments = await mergeGate.listAllComments(github, owner, repo, pr);
|
||||
const headPushedAt = (await mergeGate.getHeadCommitDate(github, owner, repo, pr))
|
||||
|| context.payload.pull_request.updated_at;
|
||||
const headPusher = context.payload.sender?.login || null;
|
||||
// Poll for Copilot's response — check every 30s for up to 10 minutes
|
||||
const maxAttempts = parseInt(process.env.MAX_POLL_ATTEMPTS, 10);
|
||||
const delayMs = parseInt(process.env.POLL_DELAY_MS, 10);
|
||||
|
||||
const hasFinal = mergeGate.hasFinalClaudeReviewTrigger(comments);
|
||||
const isStale = mergeGate.isStaleFinalAfterPush(comments, headPushedAt);
|
||||
for (let i = 0; i < maxAttempts; i++) {
|
||||
console.log(`Poll attempt ${i + 1}/${maxAttempts}...`);
|
||||
|
||||
if (mergeGate.shouldSkipFinalRecovery(comments, headPushedAt)) {
|
||||
core.info('Recent @claude within 35min and FINAL not stale — skip recovery');
|
||||
return;
|
||||
}
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: pr,
|
||||
owner,
|
||||
repo,
|
||||
per_page: 50,
|
||||
sort: 'created',
|
||||
direction: 'desc'
|
||||
});
|
||||
|
||||
if (await mergeGate.hasInProgressClaudeAssistant(github, owner, repo, pr)) {
|
||||
core.info('Claude workflow in progress — skip recovery');
|
||||
return;
|
||||
}
|
||||
// Look for Copilot's response (copilot-swe-agent or Copilot)
|
||||
const copilotResponse = comments.data.find(c =>
|
||||
(c.user.login === 'copilot-swe-agent' ||
|
||||
c.user.login === 'Copilot' ||
|
||||
c.user.login.toLowerCase().includes('copilot')) &&
|
||||
c.user.type === 'Bot'
|
||||
);
|
||||
|
||||
const finalBody = mergeGate.FINAL_CLAUDE_REVIEW_BODY;
|
||||
const opts = { skipCopilot: true, optionalWaitMs: 0 };
|
||||
|
||||
if (hasFinal && isStale) {
|
||||
const gate = mergeGate.shouldSkipStaleFinalRecovery(comments, headPushedAt, headPusher);
|
||||
if (gate.skip) {
|
||||
core.info(`Skip stale-FINAL recovery: ${gate.reason}`);
|
||||
if (copilotResponse) {
|
||||
console.log(`Copilot responded at ${copilotResponse.created_at}`);
|
||||
core.setOutput('copilot_responded', 'true');
|
||||
return;
|
||||
}
|
||||
const result = await chain.maybeTriggerClaudeFinal(
|
||||
github, owner, repo, pr, finalBody, core, opts
|
||||
|
||||
// Also check PR reviews for Copilot
|
||||
const reviews = await github.rest.pulls.listReviews({
|
||||
pull_number: pr,
|
||||
owner,
|
||||
repo
|
||||
});
|
||||
|
||||
const copilotReview = reviews.data.find(r =>
|
||||
r.user.login.toLowerCase().includes('copilot')
|
||||
);
|
||||
if (result.posted) core.info(`Posted stale-FINAL recovery @claude on PR #${pr}`);
|
||||
return;
|
||||
|
||||
if (copilotReview) {
|
||||
console.log(`Copilot review submitted at ${copilotReview.submitted_at}`);
|
||||
core.setOutput('copilot_responded', 'true');
|
||||
return;
|
||||
}
|
||||
|
||||
if (i < maxAttempts - 1) {
|
||||
console.log(`Copilot hasn't responded yet, waiting ${delayMs/1000}s...`);
|
||||
await new Promise(resolve => setTimeout(resolve, delayMs));
|
||||
}
|
||||
}
|
||||
|
||||
if (hasFinal) {
|
||||
core.info('FINAL Claude review current on HEAD — skip recovery');
|
||||
return;
|
||||
}
|
||||
console.log('Copilot did not respond within timeout, triggering Claude anyway');
|
||||
core.setOutput('copilot_responded', 'timeout');
|
||||
|
||||
const result = await chain.maybeTriggerClaudeFinal(
|
||||
github, owner, repo, pr, finalBody, core, opts
|
||||
);
|
||||
if (result.posted) core.info(`Posted missing FINAL Claude review on PR #${pr}`);
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
- name: Check if Claude already triggered
|
||||
id: check_claude
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
|
||||
TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@claude') && triggerLogins.includes(c.user.login)
|
||||
);
|
||||
core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
|
||||
|
||||
# Scheduled + manual: post missing or stale FINAL @claude on all open PRs (incl. forks)
|
||||
post-missing-claude-final:
|
||||
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
|
||||
- name: Trigger Claude final review
|
||||
if: steps.check_claude.outputs.already_triggered != 'true'
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
console.log(`Claude triggered on PR #${pr}`);
|
||||
|
||||
# ================================================================
|
||||
# Claude after Qodo fallback path (same polling approach)
|
||||
# ================================================================
|
||||
claude-after-copilot-qodo:
|
||||
needs: [copilot-after-qodo]
|
||||
if: |
|
||||
always() &&
|
||||
needs.copilot-after-qodo.result == 'success' &&
|
||||
needs.copilot-after-qodo.outputs.triggered == 'true'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 15
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Wait for Copilot to respond (poll)
|
||||
id: poll
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
|
||||
MAX_POLL_ATTEMPTS: ${{ env.MAX_POLL_ATTEMPTS }}
|
||||
POLL_DELAY_MS: ${{ env.POLL_DELAY_MS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const maxAttempts = parseInt(process.env.MAX_POLL_ATTEMPTS, 10);
|
||||
const delayMs = parseInt(process.env.POLL_DELAY_MS, 10);
|
||||
|
||||
for (let i = 0; i < maxAttempts; i++) {
|
||||
console.log(`Poll attempt ${i + 1}/${maxAttempts}...`);
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: pr, owner, repo,
|
||||
per_page: 50, sort: 'created', direction: 'desc'
|
||||
});
|
||||
const copilotResponse = comments.data.find(c =>
|
||||
(c.user.login === 'copilot-swe-agent' ||
|
||||
c.user.login === 'Copilot' ||
|
||||
c.user.login.toLowerCase().includes('copilot')) &&
|
||||
c.user.type === 'Bot'
|
||||
);
|
||||
if (copilotResponse) {
|
||||
console.log(`Copilot responded at ${copilotResponse.created_at}`);
|
||||
core.setOutput('copilot_responded', 'true');
|
||||
return;
|
||||
}
|
||||
const reviews = await github.rest.pulls.listReviews({
|
||||
pull_number: pr, owner, repo
|
||||
});
|
||||
const copilotReview = reviews.data.find(r =>
|
||||
r.user.login.toLowerCase().includes('copilot')
|
||||
);
|
||||
if (copilotReview) {
|
||||
console.log(`Copilot review submitted at ${copilotReview.submitted_at}`);
|
||||
core.setOutput('copilot_responded', 'true');
|
||||
return;
|
||||
}
|
||||
if (i < maxAttempts - 1) {
|
||||
await new Promise(resolve => setTimeout(resolve, delayMs));
|
||||
}
|
||||
}
|
||||
console.log('Copilot did not respond within timeout, triggering Claude anyway');
|
||||
core.setOutput('copilot_responded', 'timeout');
|
||||
|
||||
- name: Check if Claude already triggered
|
||||
id: check_claude
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
|
||||
TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@claude') && triggerLogins.includes(c.user.login)
|
||||
);
|
||||
core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
|
||||
|
||||
- name: Trigger Claude final review
|
||||
if: steps.check_claude.outputs.already_triggered != 'true'
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
console.log(`Claude triggered on PR #${pr}`);
|
||||
|
||||
# ================================================================
|
||||
# Claude after Gemini — restores the trigger lost from the deleted
|
||||
# chain-claude-after-copilot.yml workflow.
|
||||
# Fires when Gemini posts a review comment on a PR or issue.
|
||||
# ================================================================
|
||||
claude-after-gemini:
|
||||
if: |
|
||||
github.event_name == 'issue_comment' &&
|
||||
(
|
||||
github.event.comment.user.login == 'gemini-code-assist[bot]' ||
|
||||
contains(github.event.comment.body, 'Review completed by Gemini CLI') ||
|
||||
contains(github.event.comment.body, 'The fix is ready for review. Please test')
|
||||
)
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
pull-requests: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Check if Claude already triggered
|
||||
id: check_claude
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@claude') && triggerLogins.includes(c.user.login)
|
||||
);
|
||||
core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
|
||||
|
||||
- name: Post missing/stale FINAL @claude on open PRs
|
||||
- name: Post Claude analysis request (Lead Engineer)
|
||||
if: steps.check_claude.outputs.already_triggered != 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pr-review-chain.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner, repo, state: 'open', per_page: 100,
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude You are the Lead Engineer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL analysis and reviews above carefully (Gemini, CodeRabbit, Qodo, Copilot, etc).\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
let posted = 0;
|
||||
for (const pr of prs) {
|
||||
if (pr.draft) continue;
|
||||
const comments = await mergeGate.listAllComments(github, owner, repo, pr.number);
|
||||
const headPushedAt = (await mergeGate.getHeadCommitDate(github, owner, repo, pr.number)) || pr.updated_at;
|
||||
const hasFinal = mergeGate.hasFinalClaudeReviewTrigger(comments);
|
||||
const isStale = mergeGate.isStaleFinalAfterPush(comments, headPushedAt);
|
||||
|
||||
if (hasFinal && !isStale) continue;
|
||||
if (mergeGate.hasRecentClaudeTrigger(comments, 10)) {
|
||||
core.info(`PR #${pr.number}: @claude within 10min — skip`);
|
||||
continue;
|
||||
}
|
||||
if (await mergeGate.hasInProgressClaudeAssistant(github, owner, repo, pr.number)) {
|
||||
core.info(`PR #${pr.number}: Claude in progress — skip`);
|
||||
continue;
|
||||
}
|
||||
if (hasFinal && isStale) {
|
||||
const gate = mergeGate.shouldSkipStaleFinalRecovery(comments, headPushedAt);
|
||||
if (gate.skip) {
|
||||
core.info(`PR #${pr.number}: skip stale — ${gate.reason}`);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
const result = await chain.maybeTriggerClaudeFinal(
|
||||
github, owner, repo, pr.number,
|
||||
mergeGate.FINAL_CLAUDE_REVIEW_BODY, core,
|
||||
{ skipCopilot: true, optionalWaitMs: 0 }
|
||||
);
|
||||
if (result.posted) {
|
||||
posted++;
|
||||
core.info(`Posted Claude FINAL on PR #${pr.number}`);
|
||||
}
|
||||
if (posted >= 10) break;
|
||||
}
|
||||
core.info(`Missing/stale Claude FINAL sweep complete (${posted} posted)`);
|
||||
|
||||
# ================================================================
|
||||
# BOT PRs: kick CodeRabbit + Qodo (Greptile may follow on its own)
|
||||
# BOT PRs: CodeRabbit/Qodo skip bot-authored PRs by default.
|
||||
# Trigger them explicitly. Do NOT trigger Copilot here — it will
|
||||
# be triggered by copilot-after-coderabbit/qodo when they finish.
|
||||
# ================================================================
|
||||
bot-pr-trigger-reviews:
|
||||
if: |
|
||||
@@ -266,29 +488,38 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
pull-requests: write
|
||||
issues: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Trigger CodeRabbit and Qodo reviews
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await chain.kickReviewChain(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
// 1. Trigger CodeRabbit review
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr, owner, repo,
|
||||
body: '@coderabbitai review'
|
||||
});
|
||||
console.log(`Triggered CodeRabbit for bot PR #${pr}`);
|
||||
|
||||
// 2. Trigger Qodo review
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr, owner, repo,
|
||||
body: '/review'
|
||||
});
|
||||
console.log(`Triggered Qodo for bot PR #${pr}`);
|
||||
|
||||
// 3. Trigger Gemini review (commented out)
|
||||
// await github.rest.issues.createComment({
|
||||
// issue_number: pr, owner, repo,
|
||||
// body: '@gemini review this PR'
|
||||
// });
|
||||
// console.log(`Triggered Gemini for bot PR #${pr}`);
|
||||
|
||||
// NOTE: @copilot is NOT triggered here.
|
||||
// It will be triggered by copilot-after-coderabbit or copilot-after-qodo
|
||||
// once those bots finish, ensuring Copilot always reviews LAST.
|
||||
console.log('Copilot will be triggered after CodeRabbit/Qodo complete.');
|
||||
@@ -1,43 +0,0 @@
|
||||
name: Bot PR Recovery
|
||||
|
||||
# Belt-and-braces: kick CodeRabbit/Qodo when pull_request:opened never fired for bot PRs.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '*/15 * * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
description: 'Specific PR number to kick (optional)'
|
||||
required: false
|
||||
type: string
|
||||
|
||||
permissions:
|
||||
pull-requests: write
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
recover:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Find and kick stalled bot PRs
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER_INPUT: ${{ github.event.inputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const manual = (process.env.PR_NUMBER_INPUT || '').trim();
|
||||
const prNumber = manual ? parseInt(manual, 10) : null;
|
||||
if (manual && Number.isNaN(prNumber)) {
|
||||
throw new Error(`Invalid pr_number: ${manual}`);
|
||||
}
|
||||
await chain.recoverStalledBotPrs(github, owner, repo, { prNumber }, core);
|
||||
@@ -1,504 +0,0 @@
|
||||
name: Claude PR Merge Gate
|
||||
|
||||
# Read-only Claude assesses merge readiness; GH_TOKEN merges (no @claude, no gh pr review).
|
||||
# Does not overlap with merge-conflict-claude.yml or auto-pr-comment @claude chains.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
# Scan for merge-ready PRs every 10 minutes (assess runs only when candidates exist).
|
||||
- cron: '*/10 * * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
description: 'Optional PR number (scan all open internal PRs if empty)'
|
||||
required: false
|
||||
type: string
|
||||
merge_method:
|
||||
description: 'Merge method'
|
||||
required: false
|
||||
type: choice
|
||||
default: merge
|
||||
options:
|
||||
- merge
|
||||
- squash
|
||||
- rebase
|
||||
workflow_run:
|
||||
workflows:
|
||||
- Claude Assistant
|
||||
- Core Tests
|
||||
types:
|
||||
- completed
|
||||
repository_dispatch:
|
||||
types:
|
||||
- claude-merge-gate
|
||||
|
||||
concurrency:
|
||||
group: claude-merge-gate-${{ github.repository }}-${{ github.event.inputs.pr_number || github.event.client_payload.pr_number || github.event.workflow_run.id || 'scan' }}
|
||||
cancel-in-progress: false
|
||||
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN || github.token }}
|
||||
MAX_CANDIDATES: 1
|
||||
DISPATCH_PR_NUMBER: ${{ github.event.inputs.pr_number || github.event.client_payload.pr_number || '' }}
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: read
|
||||
actions: read
|
||||
|
||||
jobs:
|
||||
auto-dispatch:
|
||||
if: github.event_name == 'workflow_run'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: read
|
||||
actions: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Dispatch merge gate when PR pipeline is ready
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PAT: ${{ secrets.GH_TOKEN }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const wr = context.payload.workflow_run;
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
|
||||
if (!process.env.PAT) {
|
||||
core.setFailed('GH_TOKEN secret is required for merge gate auto-dispatch (needs repo + workflow scope).');
|
||||
return;
|
||||
}
|
||||
|
||||
if (wr.conclusion !== 'success') {
|
||||
core.info(`Skip dispatch: ${wr.name} conclusion=${wr.conclusion}`);
|
||||
return;
|
||||
}
|
||||
const allowed = ['Claude Assistant', 'Core Tests'];
|
||||
if (!allowed.includes(wr.name)) {
|
||||
core.info(`Skip dispatch: workflow ${wr.name}`);
|
||||
return;
|
||||
}
|
||||
|
||||
const prNumber = await mergeGate.resolvePrNumberFromWorkflowRun(github, owner, repo, wr);
|
||||
if (!prNumber) {
|
||||
core.info('Skip dispatch: could not resolve PR from workflow run');
|
||||
return;
|
||||
}
|
||||
|
||||
const fromClaude = wr.name === 'Claude Assistant';
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, {
|
||||
skipGlobalClaudeRunCheck: fromClaude,
|
||||
skipRecentClaudeCooldown: fromClaude,
|
||||
}
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`PR #${prNumber} not ready: ${check.reasons.join(', ')}`);
|
||||
return;
|
||||
}
|
||||
|
||||
await github.rest.repos.createDispatchEvent({
|
||||
owner,
|
||||
repo,
|
||||
event_type: 'claude-merge-gate',
|
||||
client_payload: { pr_number: prNumber },
|
||||
});
|
||||
core.info(`Dispatched merge gate for PR #${prNumber} after ${wr.name}`);
|
||||
|
||||
scan-candidates:
|
||||
if: github.event_name != 'workflow_run'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: write
|
||||
actions: read
|
||||
outputs:
|
||||
matrix: ${{ steps.scan.outputs.matrix }}
|
||||
has_candidates: ${{ steps.scan.outputs.has_candidates }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Scan open PRs for merge gate eligibility
|
||||
id: scan
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const maxCandidates = parseInt(process.env.MAX_CANDIDATES || '5', 10);
|
||||
const inputPr = String(process.env.DISPATCH_PR_NUMBER || '').trim();
|
||||
|
||||
const candidates = [];
|
||||
const skipped = [];
|
||||
|
||||
if (inputPr) {
|
||||
const n = parseInt(inputPr, 10);
|
||||
if (Number.isNaN(n)) {
|
||||
throw new Error(`Invalid pr_number input: ${inputPr}`);
|
||||
}
|
||||
const result = await mergeGate.evaluatePipelineQuiescent(github, owner, repo, n, core);
|
||||
if (result.ready) {
|
||||
candidates.push({ pr_number: n, head_sha: result.headSha });
|
||||
} else {
|
||||
skipped.push({ pr: n, reasons: result.reasons });
|
||||
}
|
||||
} else {
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner, repo, state: 'open', per_page: 100, sort: 'created', direction: 'asc',
|
||||
});
|
||||
const prNumbers = prs.map((p) => p.number);
|
||||
const selected = await mergeGate.selectMergeGateCandidates(
|
||||
github, owner, repo, prNumbers, maxCandidates, core
|
||||
);
|
||||
candidates.push(...selected.candidates);
|
||||
skipped.push(...selected.skipped);
|
||||
}
|
||||
|
||||
core.info('Skipped: ' + JSON.stringify(skipped));
|
||||
core.setOutput('matrix', JSON.stringify({ include: candidates }));
|
||||
core.setOutput('has_candidates', candidates.length > 0 ? 'true' : 'false');
|
||||
|
||||
core.summary.addRaw('## Merge gate scan\n');
|
||||
core.summary.addRaw(`Candidates: ${candidates.length}\n`);
|
||||
core.summary.addRaw('```json\n' + JSON.stringify({ candidates, skipped }, null, 2) + '\n```');
|
||||
await core.summary.write();
|
||||
|
||||
if (inputPr && skipped.length === 1 && skipped[0].pr === parseInt(inputPr, 10)) {
|
||||
const reasons = skipped[0].reasons;
|
||||
const body = [
|
||||
'**Merge gate scan** — not eligible for auto-merge.',
|
||||
'',
|
||||
...reasons.map((r) => `- \`${r}\``),
|
||||
'',
|
||||
'**Actions:** wait for CI and the Claude review chain, or add label `needs-manual-review` and merge manually.',
|
||||
'**Opt out:** label `no-auto-merge`.',
|
||||
].join('\n');
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: skipped[0].pr, body,
|
||||
});
|
||||
} else if (inputPr && candidates.length === 1) {
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: candidates[0].pr_number,
|
||||
body: '**Merge gate scan** — eligible for assessment. Claude merge gate will assess and may auto-merge if `MERGE_GATE_VERDICT: APPROVE`.',
|
||||
});
|
||||
}
|
||||
|
||||
await ps.syncOpenPullRequests(github, owner, repo, { maxPrs: 20 }, core);
|
||||
|
||||
claude-assess:
|
||||
needs: scan-candidates
|
||||
if: needs.scan-candidates.outputs.has_candidates == 'true'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 20
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix: ${{ fromJson(needs.scan-candidates.outputs.matrix) }}
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: write
|
||||
actions: read
|
||||
id-token: write
|
||||
steps:
|
||||
- name: Generate GitHub App Token
|
||||
id: app-token
|
||||
uses: actions/create-github-app-token@v1
|
||||
with:
|
||||
app-id: ${{ secrets.CLAUDE_APP_ID }}
|
||||
private-key: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
owner: ${{ github.repository_owner }}
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
token: ${{ steps.app-token.outputs.token }}
|
||||
|
||||
- name: Mark merge gate active
|
||||
id: mark_active
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
core.setOutput('started_at', new Date().toISOString());
|
||||
await github.rest.issues.addLabels({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: ${{ matrix.pr_number }},
|
||||
labels: ['claude-merge-gate-active'],
|
||||
});
|
||||
|
||||
- name: Stash merge gate helpers
|
||||
run: cp .github/scripts/merge-gate.js /tmp/merge-gate.js
|
||||
|
||||
- name: Fetch PR branch
|
||||
env:
|
||||
PR_NUMBER: ${{ matrix.pr_number }}
|
||||
run: |
|
||||
git fetch origin "pull/${PR_NUMBER}/head:pr-${PR_NUMBER}"
|
||||
git checkout "pr-${PR_NUMBER}"
|
||||
|
||||
- name: Claude merge gate assessment (read-only)
|
||||
id: assess
|
||||
continue-on-error: true
|
||||
uses: ./.github/actions/claude-code-action
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.app-token.outputs.token }}
|
||||
CLAUDE_CODE_SUBAGENT_MODEL: inherit
|
||||
ANTHROPIC_DEFAULT_SONNET_MODEL: claude-sonnet-4-6
|
||||
with:
|
||||
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
github_token: ${{ steps.app-token.outputs.token }}
|
||||
model: claude-opus-4-8
|
||||
trigger_phrase: '@claude-merge-gate-internal'
|
||||
direct_prompt: |
|
||||
You are the MERGE GATE reviewer for PraisonAI PR #${{ matrix.pr_number }}.
|
||||
READ-ONLY: do not modify code, commit, push, rebase, or create branches.
|
||||
|
||||
CRITICAL OUTPUT RULE:
|
||||
Post exactly one PR comment via GitHub MCP containing either:
|
||||
MERGE_GATE_VERDICT: APPROVE
|
||||
or
|
||||
MERGE_GATE_VERDICT: BLOCK
|
||||
followed by a short rationale on the next lines.
|
||||
|
||||
NEVER include @claude in any comment. NEVER mention merge conflict resolution.
|
||||
|
||||
Review checklist:
|
||||
1. Read AGENTS.md and the PR diff on the current branch.
|
||||
2. Read all PR comments and reviews (FINAL architecture reviewer / Lead Engineer must have run).
|
||||
3. Confirm SDK value gate: change strengthens praisonaiagents (no scope creep).
|
||||
4. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
5. If agent.py adds >100 lines or new Agent __init__ params, respond MERGE_GATE_VERDICT: BLOCK (manual review required).
|
||||
6. BLOCK if labels security/breaking-change/needs-manual-review/release, sensitive paths (.github/workflows, auth, pyproject.toml), secrets in diff, PR >800 lines or >30 files, or SDK changes without tests. Label `merge-gate-ci-only` exempts CI-only changes under `.github/workflows/`, `.github/actions/`, or merge-gate scripts.
|
||||
7. Confirm no CHANGES_REQUESTED reviews and CI green on HEAD ${{ matrix.head_sha }}.
|
||||
8. If ready to merge: MERGE_GATE_VERDICT: APPROVE. Otherwise: MERGE_GATE_VERDICT: BLOCK with reasons.
|
||||
|
||||
Do not approve or merge via GitHub UI/API — only post the verdict comment.
|
||||
disallowed_tools: |
|
||||
Bash
|
||||
Edit
|
||||
Write
|
||||
Replace
|
||||
allowed_tools: |
|
||||
View
|
||||
GlobTool
|
||||
GrepTool
|
||||
Read
|
||||
timeout_minutes: 15
|
||||
|
||||
- name: Post fallback verdict if Claude did not comment
|
||||
id: fallback_verdict
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const mergeGate = require('/tmp/merge-gate.js');
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
const minCreatedAt = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const existing = mergeGate.findMergeGateVerdict(ctx.comments, minCreatedAt, ctx.headPushedAt);
|
||||
if (existing) {
|
||||
core.info(`Verdict already posted: ${existing}`);
|
||||
core.setOutput('verdict', existing);
|
||||
return;
|
||||
}
|
||||
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, { forMergeStep: true }
|
||||
);
|
||||
const verdict = check.ready ? 'APPROVE' : 'BLOCK';
|
||||
const lines = [
|
||||
`MERGE_GATE_VERDICT: ${verdict}`,
|
||||
'',
|
||||
'Automated fallback — Claude assess did not post a verdict comment (e.g. GitHub MCP unavailable).',
|
||||
];
|
||||
if (check.ready) {
|
||||
lines.push('All deterministic merge gates passed.');
|
||||
} else {
|
||||
lines.push('Blockers:', ...check.reasons.map((r) => `- ${r}`));
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: prNumber,
|
||||
body: lines.join('\n'),
|
||||
});
|
||||
core.info(`Posted fallback verdict: ${verdict}`);
|
||||
core.setOutput('verdict', verdict);
|
||||
|
||||
- name: Verify verdict posted
|
||||
id: verdict
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const mergeGate = require('/tmp/merge-gate.js');
|
||||
const comments = await mergeGate.listAllComments(
|
||||
github, context.repo.owner, context.repo.repo, ${{ matrix.pr_number }}
|
||||
);
|
||||
const ctx = await mergeGate.loadPrContext(
|
||||
github, context.repo.owner, context.repo.repo, ${{ matrix.pr_number }}
|
||||
);
|
||||
const minCreatedAt = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const verdict = mergeGate.findMergeGateVerdict(comments, minCreatedAt, ctx.headPushedAt);
|
||||
core.setOutput('verdict', verdict || 'NONE');
|
||||
if (!verdict) core.warning('No recent MERGE_GATE_VERDICT comment found after assessment');
|
||||
|
||||
- name: Remove merge gate active label
|
||||
if: always()
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
try {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: prNumber,
|
||||
name: 'claude-merge-gate-active',
|
||||
});
|
||||
core.info(`Removed claude-merge-gate-active from PR #${prNumber}`);
|
||||
} catch (e) {
|
||||
core.info(`Label claude-merge-gate-active already removed or missing on PR #${prNumber}`);
|
||||
}
|
||||
|
||||
- name: Fail job if assessment failed
|
||||
if: steps.assess.outcome == 'failure'
|
||||
run: exit 1
|
||||
|
||||
merge-only:
|
||||
needs: [scan-candidates, claude-assess]
|
||||
if: |
|
||||
always() &&
|
||||
needs.scan-candidates.outputs.has_candidates == 'true' &&
|
||||
needs.claude-assess.result == 'success'
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix: ${{ fromJson(needs.scan-candidates.outputs.matrix) }}
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
issues: write
|
||||
actions: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Re-check gates and merge
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
MERGE_METHOD: ${{ github.event.inputs.merge_method || 'merge' }}
|
||||
SCAN_HEAD_SHA: ${{ matrix.head_sha }}
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
const scanHeadSha = process.env.SCAN_HEAD_SHA;
|
||||
|
||||
const removeLabels = async () => {
|
||||
try {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner, repo, issue_number: prNumber, name: 'claude-merge-gate-active',
|
||||
});
|
||||
} catch (e) {
|
||||
core.info('Label claude-merge-gate-active already removed or missing');
|
||||
}
|
||||
};
|
||||
|
||||
try {
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
const comments = ctx.comments;
|
||||
const verdictMin = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const verdict = mergeGate.findMergeGateVerdict(comments, verdictMin, ctx.headPushedAt);
|
||||
if (verdict !== 'APPROVE') {
|
||||
core.info(`Skip merge: verdict=${verdict || 'NONE'}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, { forMergeStep: true }
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`Skip merge: ${check.reasons.join(', ')}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
if (check.headSha !== scanHeadSha) {
|
||||
core.info(`Skip merge: HEAD moved ${scanHeadSha.slice(0, 7)} → ${check.headSha.slice(0, 7)}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
const method = process.env.MERGE_METHOD || 'merge';
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
let merged = false;
|
||||
for (let attempt = 1; attempt <= 3; attempt++) {
|
||||
try {
|
||||
await github.rest.pulls.merge({
|
||||
owner, repo, pull_number: prNumber, merge_method: method,
|
||||
});
|
||||
merged = true;
|
||||
break;
|
||||
} catch (e) {
|
||||
const msg = (e.message || '').toLowerCase();
|
||||
if (attempt < 3 && msg.includes('base branch was modified')) {
|
||||
core.info(`Merge attempt ${attempt} failed (base moved), retrying in 8s...`);
|
||||
await sleep(8000);
|
||||
const recheck = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, { forMergeStep: true }
|
||||
);
|
||||
if (!recheck.ready) {
|
||||
core.info(`Skip merge retry: ${recheck.reasons.join(', ')}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
throw e;
|
||||
}
|
||||
}
|
||||
if (!merged) {
|
||||
core.info('Skip merge: exhausted retries');
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
await github.rest.issues.addLabels({
|
||||
owner, repo, issue_number: prNumber, labels: ['auto-merged-by-gate'],
|
||||
});
|
||||
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: prNumber,
|
||||
body: [
|
||||
'Merged by **Claude PR merge gate** (`claude-merge-gate.yml`).',
|
||||
`Verdict: MERGE_GATE_VERDICT: APPROVE`,
|
||||
`SHA: \`${check.headSha.slice(0, 7)}\``,
|
||||
`Method: ${method}`,
|
||||
].join('\n'),
|
||||
});
|
||||
|
||||
core.info(`Merged PR #${prNumber}`);
|
||||
} finally {
|
||||
await removeLabels();
|
||||
}
|
||||
+40
-144
@@ -123,8 +123,6 @@ jobs:
|
||||
github.event.action != 'opened' &&
|
||||
(github.event.action != 'labeled' || github.event.label.name == 'claude') &&
|
||||
(github.event_name != 'issue_comment' || contains(github.event.comment.body, '@claude')) &&
|
||||
(github.event_name != 'pull_request_review' || contains(github.event.review.body, '@claude')) &&
|
||||
(github.event_name != 'pull_request_review_comment' || contains(github.event.comment.body, '@claude')) &&
|
||||
(
|
||||
!contains(github.actor, '[bot]') ||
|
||||
github.actor == 'github-actions[bot]' ||
|
||||
@@ -133,9 +131,6 @@ jobs:
|
||||
github.actor != 'dependabot[bot]' &&
|
||||
github.actor != 'cursor[bot]' &&
|
||||
github.actor != 'renovate[bot]'
|
||||
concurrency:
|
||||
group: claude-response-${{ github.repository }}-${{ github.event.pull_request.number || github.event.issue.number || github.run_id }}
|
||||
cancel-in-progress: false
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: write
|
||||
@@ -156,67 +151,26 @@ jobs:
|
||||
id: check_fork
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ steps.app-token.outputs.token }}
|
||||
script: |
|
||||
const isPR = context.eventName === 'pull_request'
|
||||
|| context.eventName === 'pull_request_review'
|
||||
|| context.eventName === 'pull_request_review_comment'
|
||||
|| (context.payload.issue && context.payload.issue.pull_request);
|
||||
|
||||
if (!isPR) {
|
||||
core.setOutput('is_pr', 'false');
|
||||
core.setOutput('is_fork', 'false');
|
||||
core.setOutput('can_push_fork', 'false');
|
||||
return;
|
||||
}
|
||||
|
||||
const prNumber = context.payload.pull_request
|
||||
? context.payload.pull_request.number
|
||||
: context.payload.issue.number;
|
||||
const pr = await github.rest.pulls.get({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
pull_number: prNumber
|
||||
});
|
||||
|
||||
let mergeState = '';
|
||||
try {
|
||||
const gql = await github.graphql(
|
||||
`query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) { mergeStateStatus }
|
||||
}
|
||||
}`,
|
||||
{ owner: context.repo.owner, repo: context.repo.repo, number: prNumber }
|
||||
);
|
||||
mergeState = (gql.repository.pullRequest.mergeStateStatus || '').toUpperCase();
|
||||
} catch (e) {
|
||||
core.warning(`GraphQL mergeStateStatus failed: ${e.message}`);
|
||||
}
|
||||
if (!mergeState) {
|
||||
mergeState = (pr.data.mergeable_state || pr.data.merge_state_status || '').toUpperCase();
|
||||
}
|
||||
|
||||
core.setOutput('is_pr', 'true');
|
||||
core.setOutput('pr_number', String(prNumber));
|
||||
core.setOutput('pr_branch', pr.data.head.ref);
|
||||
core.setOutput('head_repo', pr.data.head.repo.full_name);
|
||||
core.setOutput('merge_state', mergeState);
|
||||
|
||||
const baseRepo = `${context.repo.owner}/${context.repo.repo}`;
|
||||
const maintainerCanModify = pr.data.maintainer_can_modify === true;
|
||||
core.setOutput('maintainer_can_modify', String(maintainerCanModify));
|
||||
|
||||
if (pr.data.head.repo && pr.data.head.repo.full_name !== baseRepo) {
|
||||
core.setOutput('is_fork', 'true');
|
||||
core.setOutput('can_push_fork', String(maintainerCanModify));
|
||||
core.setOutput('fork_repo', pr.data.head.repo.full_name);
|
||||
core.setOutput('clone_url', pr.data.head.repo.clone_url);
|
||||
core.setOutput('branch', pr.data.head.ref);
|
||||
return;
|
||||
const isPR = context.eventName === 'pull_request' || (context.payload.issue && context.payload.issue.pull_request);
|
||||
if (isPR) {
|
||||
const prNumber = context.payload.pull_request ? context.payload.pull_request.number : context.payload.issue.number;
|
||||
const pr = await github.rest.pulls.get({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
pull_number: prNumber
|
||||
});
|
||||
|
||||
core.setOutput('pr_branch', pr.data.head.ref);
|
||||
|
||||
if (pr.data.head.repo && pr.data.head.repo.full_name !== context.repo.full_name) {
|
||||
core.setOutput('is_fork', 'true');
|
||||
core.setOutput('clone_url', pr.data.head.repo.clone_url);
|
||||
core.setOutput('branch', pr.data.head.ref);
|
||||
return;
|
||||
}
|
||||
}
|
||||
core.setOutput('is_fork', 'false');
|
||||
core.setOutput('can_push_fork', 'false');
|
||||
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
@@ -226,40 +180,31 @@ jobs:
|
||||
token: ${{ steps.app-token.outputs.token }}
|
||||
|
||||
- name: Fetch PR branch and Setup Remote
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
if: github.event.issue.pull_request
|
||||
env:
|
||||
PR_BRANCH: ${{ steps.check_fork.outputs.pr_branch }}
|
||||
PR_NUMBER: ${{ steps.check_fork.outputs.pr_number }}
|
||||
IS_FORK: ${{ steps.check_fork.outputs.is_fork }}
|
||||
CAN_PUSH_FORK: ${{ steps.check_fork.outputs.can_push_fork }}
|
||||
FORK_REPO: ${{ steps.check_fork.outputs.fork_repo }}
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
run: |
|
||||
git fetch origin "pull/${PR_NUMBER}/head:${PR_BRANCH}"
|
||||
git checkout "${PR_BRANCH}"
|
||||
git fetch origin main
|
||||
|
||||
if [ "${IS_FORK}" = "true" ] && [ "${CAN_PUSH_FORK}" = "true" ]; then
|
||||
git remote set-url origin "https://x-access-token:${GH_TOKEN}@github.com/${FORK_REPO}.git"
|
||||
elif [ "${IS_FORK}" = "true" ]; then
|
||||
# Block push: trick claude-code-action's `git fetch origin <branch>`
|
||||
git remote set-url origin "file://$(pwd)"
|
||||
# Fetch PR head from base repo and put it into local branch
|
||||
git fetch origin pull/${{ github.event.issue.number }}/head:"${PR_BRANCH}"
|
||||
|
||||
# If it's a fork, make origin point to local to trick claude-code-action's `git fetch origin <branch>`
|
||||
if [ "${IS_FORK}" = "true" ]; then
|
||||
git remote set-url origin file://$(pwd)
|
||||
fi
|
||||
|
||||
- uses: anthropics/claude-code-action@beta
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.check_fork.outputs.can_push_fork == 'true' && secrets.GH_TOKEN || steps.app-token.outputs.token }}
|
||||
GH_TOKEN: ${{ steps.app-token.outputs.token }}
|
||||
with:
|
||||
allowed_bots: 'praisonai-triage-agent[bot]'
|
||||
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
github_token: ${{ steps.app-token.outputs.token }}
|
||||
model: claude-opus-4-8
|
||||
trigger_phrase: "@claude"
|
||||
label_trigger: "claude"
|
||||
|
||||
direct_prompt: |
|
||||
${{ steps.check_fork.outputs.is_fork == 'true' && steps.check_fork.outputs.can_push_fork != 'true' && 'CRITICAL: THIS IS A PULL REQUEST FROM A FORK WITHOUT MAINTAINER EDITS. YOU DO NOT HAVE PUSH PERMISSIONS. ONLY READ FILES, VALIDATE CODE, AND PROVIDE COMMENTS/FEEDBACK ON THIS PR. DO NOT ATTEMPT TO PUSH OR CREATE PULL REQUESTS.\n\n' || (steps.check_fork.outputs.can_push_fork == 'true' && format('NOTE: Fork PR with maintainer edits allowed. Push directly to fork {0} branch {1}.\n\n', steps.check_fork.outputs.fork_repo, steps.check_fork.outputs.pr_branch) || (steps.check_fork.outputs.is_pr == 'true' && steps.check_fork.outputs.is_fork != 'true' && 'NOTE: The branch is under MervinPraison/PraisonAI (not a fork). You are able to make modifications and push directly to this branch.\n\n' || (steps.check_fork.outputs.is_pr != 'true' && 'NOTE: This is an issue (not a PR). Create a new fix branch per STEP 3 below.\n\n' || ''))) }}
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && format('CONTEXT: PR #{0} on branch {1}. head.repo={2}, is_fork={3}, can_push_fork={4}, merge_state={5}. NEVER treat cursor/*, claude/* branch names or bot authors as forks — only is_fork=true means fork.\n\n', steps.check_fork.outputs.pr_number, steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.head_repo, steps.check_fork.outputs.is_fork, steps.check_fork.outputs.can_push_fork, steps.check_fork.outputs.merge_state) || '' }}
|
||||
${{ steps.check_fork.outputs.is_fork == 'true' && 'CRITICAL: THIS IS A PULL REQUEST FROM A FORK. YOU DO NOT HAVE PUSH PERMISSIONS TO THIS REPOSITORY. ONLY READ FILES, VALIDATE CODE, AND PROVIDE YOUR COMMENTS/FEEDBACK DIRECTLY IN THIS PR VIA COMMENTS. DO NOT ATTEMPT TO PUSH OR CREATE PULL REQUESTS.\n\n' || 'NOTE: The branch is under MervinPraison/PraisonAI (not a fork). You are able to make modifications and push directly to this branch.\n\n' }}
|
||||
You are working on the PraisonAI SDK. Follow AGENTS.md strictly.
|
||||
|
||||
STEP 0 — SETUP GIT IDENTITY & AUTH (GLOBAL — required for all repos):
|
||||
@@ -282,16 +227,21 @@ jobs:
|
||||
5. Plugins (PraisonAI-Plugins): Framework lifecycle extensions replacing systemic behavior (e.g. tracing, logging, metrics, hooks, guardrails).
|
||||
For items routed to an EXTERNAL repository (Tools, Docs, Plugins), follow STEP 3-ALT below.
|
||||
- Does it duplicate existing functionality? Check if Agent already supports this via existing params (reflection, planning, tools, hooks, memory).
|
||||
- Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
- Does it inherit from Agent properly? New agent types MUST inherit Agent, not wrap it with composition.
|
||||
- Does it add new dependencies? Only optional deps allowed, must be lazy-imported.
|
||||
- Will agent.py grow larger? If the change adds >50 lines to agent.py, find a way to extract instead. PRs with >100 lines added to agent.py require manual review (merge gate will not auto-merge).
|
||||
- Will agent.py grow larger? If the change adds >50 lines to agent.py, find a way to extract instead.
|
||||
- Is there a name collision with existing exports in __init__.py?
|
||||
If ANY of these conceptual checks fail (excluding routing), add a comment to the issue explaining why and close it. Do NOT create a PR.
|
||||
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && (steps.check_fork.outputs.is_fork != 'true' || steps.check_fork.outputs.can_push_fork == 'true') && steps.check_fork.outputs.merge_state == 'DIRTY' && format('STEP 3 — RESOLVE MERGE CONFLICTS ON PR (branch: {0}, PR #{1}{2}):\n- DO NOT create a new branch or PR\n- git fetch origin main && git rebase origin/main\n- Resolve conflicts: keep this PR intent, merge in main newer logic\n- git add -A && git rebase --continue (repeat until done)\n- git push --force-with-lease origin {0}\n- Run targeted pytest on changed paths\n- Comment files resolved and what you skipped\n', steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.pr_number, steps.check_fork.outputs.can_push_fork == 'true' && format(', fork: {0}', steps.check_fork.outputs.fork_repo) || '') || '' }}
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && (steps.check_fork.outputs.is_fork != 'true' || steps.check_fork.outputs.can_push_fork == 'true') && steps.check_fork.outputs.merge_state != 'DIRTY' && format('STEP 3 — IMPLEMENT ON EXISTING PR (branch: {0}, PR #{1}{2}):\n- DO NOT create a new branch or PR\n- git checkout {0}\n- Implement minimal, focused fixes from reviewer feedback\n- Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper\n- Keep changes small and backward-compatible\n- Commit: git add -A && git commit -m "fix: <description>"\n- Push: git push origin {0}\n- Comment a summary of exact files modified and what you skipped\n', steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.pr_number, steps.check_fork.outputs.can_push_fork == 'true' && format(', fork: {0}', steps.check_fork.outputs.fork_repo) || '') || '' }}
|
||||
${{ steps.check_fork.outputs.is_pr != 'true' && 'STEP 3 — IMPLEMENT (for changes in THIS repo — PraisonAI):\n- Create a fix branch: git checkout -b claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\n- Implement a minimal, focused fix\n- Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper\n- Keep changes small and backward-compatible\n- Commit: git add -A && git commit -m "fix: <description> (fixes #$ISSUE_NUMBER)"\n- Push: git push origin claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\nCRITICAL: After pushing, you MUST immediately run: gh pr create --title "fix: <title>" --body "Fixes #$ISSUE_NUMBER" --head claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\nDo NOT stop after pushing. Do NOT say "manually create a PR". Always create the PR automatically.\n' || '' }}
|
||||
STEP 3 — IMPLEMENT (for changes in THIS repo — PraisonAI):
|
||||
- Create a fix branch: git checkout -b claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)
|
||||
- Implement a minimal, focused fix
|
||||
- Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper
|
||||
- Keep changes small and backward-compatible
|
||||
- Commit: git add -A && git commit -m "fix: <description> (fixes #$ISSUE_NUMBER)"
|
||||
- Push: git push origin claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)
|
||||
CRITICAL: After pushing, you MUST immediately run: gh pr create --title "fix: <title>" --body "Fixes #$ISSUE_NUMBER" --head claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)
|
||||
Do NOT stop after pushing. Do NOT say "manually create a PR". Always create the PR automatically.
|
||||
|
||||
STEP 3-ALT — IMPLEMENT IN EXTERNAL REPO (for PraisonAI-Tools, PraisonAIDocs, PraisonAI-Plugins):
|
||||
When work must happen in a different repository, follow these steps EXACTLY. Do NOT attempt to use `cd`, as directory state is not preserved. Use `git -C` for all commands.
|
||||
@@ -317,7 +267,10 @@ jobs:
|
||||
- For docs changes: verify files exist and are valid markdown/MDX
|
||||
- Ensure no regressions
|
||||
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && 'STEP 5 — SKIP: Already on an open PR. Do NOT run gh pr create.\n' || 'STEP 5 — CREATE PR:\n- Commit with descriptive message, push, and create PR using `gh pr create`\n- For external repos, use `gh pr create -R MervinPraison/<REPO_NAME>`\nCRITICAL: You MUST create the PR automatically using `gh pr create`. Do NOT just provide a link or say "manual push required".\n' }}
|
||||
STEP 5 — CREATE PR:
|
||||
- Commit with descriptive message, push, and create PR using `gh pr create`
|
||||
- For external repos, use `gh pr create -R MervinPraison/<REPO_NAME>`
|
||||
CRITICAL: You MUST create the PR automatically using `gh pr create`. Do NOT just provide a link or say "manual push required".
|
||||
NOTE: If you worked on an external repo, the wrapper action will report "No commits" for the main repo at the end. This is expected, do not worry about it.
|
||||
allowed_tools: |
|
||||
Bash(git:*)
|
||||
@@ -339,60 +292,3 @@ jobs:
|
||||
mcp__github__get_issue_comments
|
||||
mcp__github__update_issue
|
||||
timeout_minutes: 30
|
||||
|
||||
- name: Kick review chain for bot-created PR
|
||||
if: |
|
||||
steps.check_fork.outputs.is_pr != 'true' &&
|
||||
(github.event_name == 'issues' || github.event_name == 'issue_comment') &&
|
||||
github.event.issue != null
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const issueNumber = context.payload.issue.number;
|
||||
await chain.kickReviewChainForIssue(
|
||||
github, context.repo.owner, context.repo.repo, issueNumber, core
|
||||
);
|
||||
|
||||
- name: Sync pipeline status labels for PR
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const prNumber = parseInt('${{ steps.check_fork.outputs.pr_number }}', 10);
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, prNumber, core);
|
||||
|
||||
- name: Dispatch merge gate when PR pipeline ready
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = parseInt('${{ steps.check_fork.outputs.pr_number }}', 10);
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, {
|
||||
skipGlobalClaudeRunCheck: true,
|
||||
skipRecentClaudeCooldown: true,
|
||||
}
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`PR #${prNumber} not ready for merge gate: ${check.reasons.join(', ')}`);
|
||||
return;
|
||||
}
|
||||
await github.rest.repos.createDispatchEvent({
|
||||
owner,
|
||||
repo,
|
||||
event_type: 'claude-merge-gate',
|
||||
client_payload: { pr_number: prNumber },
|
||||
});
|
||||
core.info(`Dispatched merge gate for PR #${prNumber}`);
|
||||
@@ -1,52 +0,0 @@
|
||||
name: Deploy install scripts to praison.ai
|
||||
|
||||
# When install.sh or install.ps1 change on main, trigger praison.ai CI which
|
||||
# syncs scripts at build time and deploys to Azure AKS (existing azure-pipeline.yaml).
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
paths:
|
||||
- 'src/praisonai/scripts/install.sh'
|
||||
- 'src/praisonai/scripts/install.ps1'
|
||||
workflow_dispatch:
|
||||
|
||||
concurrency:
|
||||
group: deploy-install-scripts
|
||||
cancel-in-progress: false
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
trigger-website-deploy:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger praison.ai CI
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.SECRETS_ADMIN_PAT }}
|
||||
SOURCE_SHA: ${{ github.sha }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -z "${GH_TOKEN:-}" ]; then
|
||||
echo "SECRETS_ADMIN_PAT is not configured in this repository"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
gh workflow run CI \
|
||||
--repo MervinPraison/praison.ai \
|
||||
--ref master
|
||||
|
||||
echo "Triggered praison.ai CI for PraisonAI commit ${SOURCE_SHA}"
|
||||
echo "Monitor: https://github.com/MervinPraison/praison.ai/actions/workflows/azure-pipeline.yaml"
|
||||
|
||||
sleep 10
|
||||
RUN_URL=$(gh run list \
|
||||
--repo MervinPraison/praison.ai \
|
||||
--workflow CI \
|
||||
--limit 1 \
|
||||
--json url,status,createdAt \
|
||||
--jq '.[0].url' 2>/dev/null || true)
|
||||
if [ -n "${RUN_URL}" ]; then
|
||||
echo "Latest praison.ai CI run: ${RUN_URL}"
|
||||
fi
|
||||
@@ -22,6 +22,8 @@ jobs:
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
@@ -36,6 +36,9 @@ jobs:
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
|
||||
- name: Run Gemini Issue Triage
|
||||
|
||||
@@ -37,6 +37,9 @@ jobs:
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
|
||||
- name: Set up Git
|
||||
|
||||
@@ -48,6 +48,9 @@ jobs:
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
ref: ${{ steps.checkout_ref.outputs.ref }}
|
||||
fetch-depth: 0
|
||||
|
||||
@@ -7,18 +7,12 @@ on:
|
||||
- 'src/praisonai/praisonai/integration/**'
|
||||
- 'src/praisonai/tests/integration/test_aiui_*'
|
||||
- 'src/praisonai/pyproject.toml'
|
||||
- 'src/praisonai-code/**'
|
||||
- '.github/workflows/integration-cross-repo.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
pull_request:
|
||||
branches: [ main ]
|
||||
paths:
|
||||
- 'src/praisonai/praisonai/integration/**'
|
||||
- 'src/praisonai/tests/integration/test_aiui_*'
|
||||
- 'src/praisonai/pyproject.toml'
|
||||
- 'src/praisonai-code/**'
|
||||
- '.github/workflows/integration-cross-repo.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
@@ -46,16 +40,16 @@ jobs:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: python -m pip install --upgrade pip
|
||||
- uses: PraisonAI/.github/actions/install-monorepo-packages
|
||||
with:
|
||||
repo-root: PraisonAI/
|
||||
wrapper-extras: ".[ui,dev]"
|
||||
- name: Install PraisonAIUI
|
||||
run: |
|
||||
cd PraisonAIUI
|
||||
python -m pip install --upgrade pip
|
||||
# Install PraisonAI packages in development mode
|
||||
cd PraisonAI/src/praisonai-agents
|
||||
pip install -e .
|
||||
cd ../praisonai
|
||||
pip install -e ".[ui,dev]"
|
||||
# Install PraisonAIUI in development mode
|
||||
cd ../../../PraisonAIUI
|
||||
pip install -e .
|
||||
pip install pytest pytest-cov
|
||||
|
||||
- name: Verify versions
|
||||
run: |
|
||||
@@ -66,16 +60,16 @@ jobs:
|
||||
- name: Run PraisonAI integration tests
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
python -m pytest tests/integration/test_aiui_* -v
|
||||
python -m pytest tests/integration/test_aiui_* -v --timeout=300
|
||||
|
||||
- name: Run PraisonAIUI integration tests
|
||||
run: |
|
||||
cd PraisonAIUI
|
||||
if [ -f tests/integration/test_agentic_roundtrip.py ]; then
|
||||
python -m pytest tests/integration/test_agentic_roundtrip.py -v
|
||||
python -m pytest tests/integration/test_agentic_roundtrip.py -v --timeout=300
|
||||
fi
|
||||
if [ -f tests/test_feature_sdk_backends.py ]; then
|
||||
python -m pytest tests/test_feature_sdk_backends.py -v
|
||||
python -m pytest tests/test_feature_sdk_backends.py -v --timeout=300
|
||||
fi
|
||||
|
||||
- name: Test Pattern C CLI
|
||||
@@ -143,14 +137,13 @@ jobs:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: python -m pip install --upgrade pip
|
||||
- uses: PraisonAI/.github/actions/install-monorepo-packages
|
||||
with:
|
||||
repo-root: PraisonAI/
|
||||
wrapper-extras: ".[ui,dev]"
|
||||
- name: Install PraisonAIUI
|
||||
run: |
|
||||
cd PraisonAIUI
|
||||
python -m pip install --upgrade pip
|
||||
cd PraisonAI/src/praisonai-agents
|
||||
pip install -e .
|
||||
cd ../praisonai
|
||||
pip install -e ".[ui,dev]"
|
||||
cd ../../../PraisonAIUI
|
||||
pip install -e .
|
||||
|
||||
- name: Run agentic integration test
|
||||
@@ -159,7 +152,7 @@ jobs:
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
if [ -n "$OPENAI_API_KEY" ]; then
|
||||
python -m pytest tests/integration/test_aiui_host_agentic.py -v
|
||||
python -m pytest tests/integration/test_aiui_host_agentic.py -v --timeout=600
|
||||
else
|
||||
echo "OPENAI_API_KEY not available, skipping agentic tests"
|
||||
fi
|
||||
@@ -1,184 +0,0 @@
|
||||
name: Auto Merge Conflict → Claude
|
||||
|
||||
# Detects internal PRs with mergeStateStatus=DIRTY and posts @claude to trigger claude.yml.
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
pull_request:
|
||||
types: [opened, synchronize, reopened]
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: '0 */6 * * *'
|
||||
|
||||
concurrency:
|
||||
group: merge-conflict-scan-${{ github.repository }}
|
||||
cancel-in-progress: true
|
||||
|
||||
env:
|
||||
# PAT posts as MervinPraison so issue_comment triggers claude.yml (GITHUB_TOKEN cannot chain workflows)
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN || github.token }}
|
||||
|
||||
permissions:
|
||||
pull-requests: write
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
detect-and-trigger:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Detect conflicting PRs and trigger Claude
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const baseRepo = `${owner}/${repo}`;
|
||||
const COOLDOWN_MS = 12 * 60 * 60 * 1000;
|
||||
const AUTO_ACTORS = ['github-actions[bot]', 'MervinPraison'];
|
||||
const LABEL = 'claude-conflict-pending';
|
||||
const COMMENT_BODY = [
|
||||
'@claude this PR has merge conflicts with `main`.',
|
||||
'Please rebase onto latest `main`, resolve conflicts (keep this PR\'s intent, merge in newer main logic),',
|
||||
'run targeted tests, and force-push with `--force-with-lease`.',
|
||||
'Comment which files you resolved.',
|
||||
'Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.',
|
||||
].join(' ');
|
||||
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
|
||||
async function getMergeState(prNumber) {
|
||||
const query = `
|
||||
query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) {
|
||||
mergeStateStatus
|
||||
maintainerCanModify
|
||||
isDraft
|
||||
headRef { repository { nameWithOwner } }
|
||||
}
|
||||
}
|
||||
}
|
||||
`;
|
||||
for (let attempt = 0; attempt < 3; attempt++) {
|
||||
const result = await github.graphql(query, { owner, repo, number: prNumber });
|
||||
const prGql = result.repository.pullRequest;
|
||||
const status = (prGql?.mergeStateStatus || '').toUpperCase();
|
||||
if (status && status !== 'UNKNOWN') {
|
||||
return {
|
||||
status,
|
||||
isDraft: prGql.isDraft,
|
||||
headRepo: prGql.headRef?.repository?.nameWithOwner,
|
||||
maintainerCanModify: prGql.maintainerCanModify === true,
|
||||
};
|
||||
}
|
||||
if (attempt < 2) await sleep(10000);
|
||||
}
|
||||
const pr = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
return {
|
||||
status: (pr.data.mergeable_state || '').toUpperCase(),
|
||||
isDraft: pr.data.draft,
|
||||
headRepo: pr.data.head.repo?.full_name,
|
||||
maintainerCanModify: pr.data.maintainer_can_modify === true,
|
||||
};
|
||||
}
|
||||
|
||||
function hasFinalClaudeReviewTrigger(comments) {
|
||||
return comments.some((c) => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
if (!body.includes('@claude')) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
}
|
||||
|
||||
function hasRecentAutoComment(comments) {
|
||||
const cutoff = Date.now() - COOLDOWN_MS;
|
||||
return comments.some((c) => {
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !body.includes('merge conflict')) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
}
|
||||
|
||||
async function processPR(prNumber) {
|
||||
const { status, isDraft, headRepo, maintainerCanModify } = await getMergeState(prNumber);
|
||||
core.info(`PR #${prNumber}: mergeState=${status}, head=${headRepo}, draft=${isDraft}, maintainerCanModify=${maintainerCanModify}`);
|
||||
|
||||
const { data: issue } = await github.rest.issues.get({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
});
|
||||
const labels = issue.labels.map((l) => l.name);
|
||||
|
||||
if (status !== 'DIRTY' && labels.includes(LABEL)) {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
name: LABEL,
|
||||
});
|
||||
core.info(`Removed ${LABEL} from PR #${prNumber}`);
|
||||
}
|
||||
|
||||
if (status !== 'DIRTY') return { skipped: true, reason: 'not dirty' };
|
||||
if (isDraft) return { skipped: true, reason: 'draft' };
|
||||
if (headRepo && headRepo !== baseRepo && !maintainerCanModify) {
|
||||
return { skipped: true, reason: 'fork without maintainer edits' };
|
||||
}
|
||||
if (labels.includes(LABEL)) {
|
||||
return { skipped: true, reason: 'conflict resolution pending' };
|
||||
}
|
||||
|
||||
const { data: comments } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
if (hasRecentAutoComment(comments)) {
|
||||
return { skipped: true, reason: 'recent auto comment' };
|
||||
}
|
||||
|
||||
if (!hasFinalClaudeReviewTrigger(comments)) {
|
||||
return { skipped: true, reason: 'awaiting final claude review trigger' };
|
||||
}
|
||||
|
||||
await github.rest.issues.addLabels({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
labels: [LABEL],
|
||||
});
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: COMMENT_BODY,
|
||||
});
|
||||
return { triggered: true };
|
||||
}
|
||||
|
||||
let prNumbers = [];
|
||||
if (context.eventName === 'pull_request') {
|
||||
prNumbers = [context.payload.pull_request.number];
|
||||
} else {
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
prNumbers = prs.map((p) => p.number);
|
||||
}
|
||||
|
||||
const results = [];
|
||||
for (const num of prNumbers) {
|
||||
results.push({ pr: num, ...(await processPR(num)) });
|
||||
}
|
||||
core.summary.addRaw('```json\n' + JSON.stringify(results, null, 2) + '\n```');
|
||||
await core.summary.write();
|
||||
@@ -1,138 +0,0 @@
|
||||
name: Nightly Release Gate
|
||||
|
||||
# Preflight before PyPI Release (patch bump).
|
||||
# Primary: Core Tests success on main (workflow_run).
|
||||
# Backstop: nightly cron at 00:00 UTC.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 0 * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
dry_run:
|
||||
description: 'Run preflight only; do not dispatch pypi-release.yml'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
workflow_run:
|
||||
workflows:
|
||||
- Core Tests
|
||||
types:
|
||||
- completed
|
||||
branches:
|
||||
- main
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
actions: write
|
||||
|
||||
concurrency:
|
||||
group: nightly-release-gate
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
preflight:
|
||||
if: |
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
github.event_name == 'schedule' ||
|
||||
(
|
||||
github.event_name == 'workflow_run' &&
|
||||
github.event.workflow_run.conclusion == 'success' &&
|
||||
github.event.workflow_run.head_branch == 'main' &&
|
||||
github.event.workflow_run.event == 'push'
|
||||
)
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
steps:
|
||||
- name: Resolve trigger context
|
||||
id: ctx
|
||||
run: |
|
||||
if [ "${{ github.event_name }}" = "workflow_run" ]; then
|
||||
echo "checkout_sha=${{ github.event.workflow_run.head_sha }}" >> "$GITHUB_OUTPUT"
|
||||
echo "source=ci" >> "$GITHUB_OUTPUT"
|
||||
echo "is_ci=true" >> "$GITHUB_OUTPUT"
|
||||
else
|
||||
echo "checkout_sha=main" >> "$GITHUB_OUTPUT"
|
||||
echo "source=nightly" >> "$GITHUB_OUTPUT"
|
||||
echo "is_ci=false" >> "$GITHUB_OUTPUT"
|
||||
fi
|
||||
|
||||
- name: Checkout
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
|
||||
with:
|
||||
ref: ${{ steps.ctx.outputs.checkout_sha }}
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Fetch main and tags
|
||||
run: git fetch --tags origin main
|
||||
|
||||
- name: Preflight — path changes, CI SHA, dedupe
|
||||
id: preflight
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
HEAD_SHA: ${{ steps.ctx.outputs.checkout_sha }}
|
||||
IS_CI: ${{ steps.ctx.outputs.is_ci }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const rg = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/release-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const headSha = process.env.HEAD_SHA;
|
||||
const isCi = process.env.IS_CI === 'true';
|
||||
|
||||
const result = await rg.evaluateReleasePreflight(
|
||||
github, owner, repo,
|
||||
{ headSha, isCiTrigger: isCi, bump: 'patch' },
|
||||
core
|
||||
);
|
||||
|
||||
core.setOutput('should_release', result.ready ? 'true' : 'false');
|
||||
core.setOutput('reason', result.reasons.join('; '));
|
||||
core.setOutput('head_sha', result.headSha || headSha);
|
||||
core.setOutput('last_tag', result.lastTag || '');
|
||||
core.setOutput('target_agents', result.targetAgents || '');
|
||||
core.setOutput('target_code', result.targetCode || '');
|
||||
core.setOutput('target_wrapper', result.targetWrapper || '');
|
||||
|
||||
core.summary.addRaw('## Release gate preflight\n');
|
||||
core.summary.addRaw(`Ready: ${result.ready}\n`);
|
||||
core.summary.addRaw(`Reason: ${result.reasons.join('; ')}\n`);
|
||||
if (result.targetAgents) {
|
||||
core.summary.addRaw(
|
||||
`Targets: praisonaiagents==${result.targetAgents}, `
|
||||
+ `praisonai-code==${result.targetCode}, praisonai==${result.targetWrapper}\n`
|
||||
);
|
||||
}
|
||||
await core.summary.write();
|
||||
|
||||
if (!result.ready) {
|
||||
core.info(`Skip release: ${result.reasons.join('; ')}`);
|
||||
}
|
||||
|
||||
- name: Dry run summary
|
||||
if: inputs.dry_run == true
|
||||
run: |
|
||||
echo "Dry run — preflight only, no pypi-release dispatch."
|
||||
echo "should_release=${{ steps.preflight.outputs.should_release }}"
|
||||
echo "reason=${{ steps.preflight.outputs.reason }}"
|
||||
|
||||
- name: Dispatch PyPI Release (patch)
|
||||
if: steps.preflight.outputs.should_release == 'true' && inputs.dry_run != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
gh workflow run pypi-release.yml \
|
||||
--repo "${GITHUB_REPOSITORY}" \
|
||||
--ref main \
|
||||
-f bump=patch \
|
||||
-f source=${{ steps.ctx.outputs.source }} \
|
||||
-f trigger_sha=${{ steps.preflight.outputs.head_sha }} \
|
||||
-f dry_run=false
|
||||
echo "Dispatched pypi-release.yml (patch, source=${{ steps.ctx.outputs.source }})"
|
||||
if [ "${{ steps.ctx.outputs.source }}" = "ci" ]; then
|
||||
echo "Uses pypi-auto environment (no manual approval)."
|
||||
else
|
||||
echo "Uses pypi-auto environment for nightly patch releases."
|
||||
fi
|
||||
@@ -1,33 +0,0 @@
|
||||
name: Pipeline Status Sync
|
||||
|
||||
# Sync pipeline/* stage and blocker labels on open internal PRs.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '*/10 * * * *'
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
pull-requests: read
|
||||
issues: write
|
||||
actions: write
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Sync pipeline labels on open PRs
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
await ps.syncOpenPullRequests(
|
||||
github, context.repo.owner, context.repo.repo,
|
||||
{ maxPrs: 30, dispatchMergeGate: true }, core
|
||||
);
|
||||
@@ -49,12 +49,10 @@ jobs:
|
||||
git config --local user.name "PraisonAI Bot"
|
||||
|
||||
- name: Install PraisonAI
|
||||
run: pip install uv
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[all]"
|
||||
run: |
|
||||
pip install uv
|
||||
cd src/praisonai-agents && uv pip install --system -e ".[all]"
|
||||
cd ../praisonai && uv pip install --system -e ".[all]"
|
||||
|
||||
- name: Run PraisonAI Issue Triage
|
||||
env:
|
||||
|
||||
@@ -16,20 +16,16 @@ jobs:
|
||||
review:
|
||||
runs-on: ubuntu-latest
|
||||
if: >
|
||||
secrets.PRAISONAI_APP_ID != '' &&
|
||||
secrets.PRAISONAI_APP_PRIVATE_KEY != '' &&
|
||||
(
|
||||
(github.event_name == 'pull_request' && github.event.pull_request.draft == false) ||
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
(github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
contains(github.event.comment.body, '@praisonai') &&
|
||||
github.actor != 'github-actions[bot]' &&
|
||||
github.event.comment.user.type != 'Bot' &&
|
||||
(github.event.comment.author_association == 'OWNER' ||
|
||||
github.event.comment.author_association == 'MEMBER' ||
|
||||
github.event.comment.author_association == 'COLLABORATOR'))
|
||||
)
|
||||
(github.event_name == 'pull_request' && github.event.pull_request.draft == false) ||
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
(github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
contains(github.event.comment.body, '@praisonai') &&
|
||||
github.actor != 'github-actions[bot]' &&
|
||||
github.event.comment.user.type != 'Bot' &&
|
||||
(github.event.comment.author_association == 'OWNER' ||
|
||||
github.event.comment.author_association == 'MEMBER' ||
|
||||
github.event.comment.author_association == 'COLLABORATOR'))
|
||||
|
||||
steps:
|
||||
- name: Determine checkout ref
|
||||
|
||||
@@ -1,613 +0,0 @@
|
||||
name: PyPI Release
|
||||
|
||||
# Environments (Settings → Environments):
|
||||
# pypi-auto — patch releases from ci/nightly (no reviewers, main branch only)
|
||||
# pypi — manual workflow_dispatch and major/minor (required reviewers)
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
bump:
|
||||
description: 'Version bump type for all packages (agents, code, wrapper)'
|
||||
required: true
|
||||
default: patch
|
||||
type: choice
|
||||
options:
|
||||
- patch
|
||||
- minor
|
||||
- major
|
||||
dry_run:
|
||||
description: 'Preview versions and steps without publishing or pushing'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_agents:
|
||||
description: 'Skip agents publish (recovery if already on PyPI)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_wrapper:
|
||||
description: 'Skip wrapper publish (agents and/or code only)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_code:
|
||||
description: 'Skip praisonai-code publish (recovery if already on PyPI)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_bot:
|
||||
description: 'Skip praisonai-bot publish (recovery if already on PyPI)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
agents_version:
|
||||
description: 'Override agents version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
wrapper_version:
|
||||
description: 'Override wrapper version (empty = auto bump from version.py)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
code_version:
|
||||
description: 'Override praisonai-code version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
bot_version:
|
||||
description: 'Override praisonai-bot version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
source:
|
||||
description: 'Trigger source (audit trail)'
|
||||
required: false
|
||||
default: manual
|
||||
type: choice
|
||||
options:
|
||||
- manual
|
||||
- nightly
|
||||
- ci
|
||||
trigger_sha:
|
||||
description: 'Main commit SHA that passed release gate (audit/dedupe)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
|
||||
permissions:
|
||||
contents: write
|
||||
|
||||
concurrency:
|
||||
group: pypi-release
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
release:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
environment: >-
|
||||
${{
|
||||
(inputs.source == 'ci' || inputs.source == 'nightly') &&
|
||||
inputs.bump == 'patch' &&
|
||||
'pypi-auto' || 'pypi'
|
||||
}}
|
||||
env:
|
||||
UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN || secrets.PYPI_API_TOKEN }}
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
steps:
|
||||
- name: Checkout main
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
|
||||
with:
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
token: ${{ secrets.GH_TOKEN }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Set up uv
|
||||
uses: astral-sh/setup-uv@38f3f104447c67c051c4a08e39b64a148898af3a # v4
|
||||
|
||||
- name: Configure git
|
||||
run: |
|
||||
git config user.name "MervinPraison"
|
||||
git config user.email "[email protected]"
|
||||
gh auth setup-git
|
||||
|
||||
- name: Release summary
|
||||
run: |
|
||||
echo "Source: ${{ inputs.source }}"
|
||||
echo "Trigger SHA: ${{ inputs.trigger_sha }}"
|
||||
echo "Bump: ${{ inputs.bump }}"
|
||||
echo "Dry run: ${{ inputs.dry_run }}"
|
||||
echo "Environment: ${{ (inputs.source == 'ci' || inputs.source == 'nightly') && inputs.bump == 'patch' && 'pypi-auto' || 'pypi' }}"
|
||||
|
||||
- name: Compute release versions
|
||||
id: versions
|
||||
env:
|
||||
BUMP: ${{ inputs.bump }}
|
||||
AGENTS_OVERRIDE: ${{ inputs.agents_version }}
|
||||
WRAPPER_OVERRIDE: ${{ inputs.wrapper_version }}
|
||||
CODE_OVERRIDE: ${{ inputs.code_version }}
|
||||
BOT_OVERRIDE: ${{ inputs.bot_version }}
|
||||
SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
SKIP_CODE: ${{ inputs.skip_code }}
|
||||
SKIP_BOT: ${{ inputs.skip_bot }}
|
||||
run: |
|
||||
python <<'PY'
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
SEMVER = re.compile(r"^\d+\.\d+\.\d+$")
|
||||
root = Path(".")
|
||||
bump = os.environ["BUMP"]
|
||||
|
||||
def bump_version(version: str) -> str:
|
||||
parts = version.split(".")
|
||||
if len(parts) != 3:
|
||||
print(f"Invalid version: {version}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
maj, min_, patch = (int(parts[0]), int(parts[1]), int(parts[2]))
|
||||
if bump == "major":
|
||||
return f"{maj + 1}.0.0"
|
||||
if bump == "minor":
|
||||
return f"{maj}.{min_ + 1}.0"
|
||||
return f"{maj}.{min_}.{patch + 1}"
|
||||
|
||||
def validate_version(label: str, value: str) -> None:
|
||||
if value and not SEMVER.match(value):
|
||||
print(f"Invalid {label} override: {value!r} (expected X.Y.Z)", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
agents_override = os.environ.get("AGENTS_OVERRIDE", "").strip()
|
||||
wrapper_override = os.environ.get("WRAPPER_OVERRIDE", "").strip()
|
||||
code_override = os.environ.get("CODE_OVERRIDE", "").strip()
|
||||
bot_override = os.environ.get("BOT_OVERRIDE", "").strip()
|
||||
validate_version("agents_version", agents_override)
|
||||
validate_version("wrapper_version", wrapper_override)
|
||||
validate_version("code_version", code_override)
|
||||
validate_version("bot_version", bot_override)
|
||||
|
||||
agents_pyproject = root / "src/praisonai-agents/pyproject.toml"
|
||||
agents_content = agents_pyproject.read_text()
|
||||
agents_match = re.search(r'^version\s*=\s*"([^"]+)"', agents_content, re.MULTILINE)
|
||||
if not agents_match:
|
||||
print("Could not read agents version from pyproject.toml", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_agents = agents_match.group(1)
|
||||
|
||||
code_pyproject = root / "src/praisonai-code/pyproject.toml"
|
||||
code_content = code_pyproject.read_text()
|
||||
code_match = re.search(r'^version\s*=\s*"([^"]+)"', code_content, re.MULTILINE)
|
||||
if not code_match:
|
||||
print("Could not read praisonai-code version from pyproject.toml", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_code = code_match.group(1)
|
||||
|
||||
bot_pyproject = root / "src/praisonai-bot/pyproject.toml"
|
||||
bot_content = bot_pyproject.read_text()
|
||||
bot_match = re.search(r'^version\s*=\s*"([^"]+)"', bot_content, re.MULTILINE)
|
||||
if not bot_match:
|
||||
print("Could not read praisonai-bot version from pyproject.toml", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_bot = bot_match.group(1)
|
||||
|
||||
wrapper_version_py = root / "src/praisonai/praisonai/version.py"
|
||||
wrapper_content = wrapper_version_py.read_text()
|
||||
wrapper_match = re.search(r'__version__ = "([^"]+)"', wrapper_content)
|
||||
if not wrapper_match:
|
||||
print("Could not read wrapper version from version.py", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_wrapper = wrapper_match.group(1)
|
||||
|
||||
for label, value in (
|
||||
("agents", current_agents),
|
||||
("code", current_code),
|
||||
("bot", current_bot),
|
||||
("wrapper", current_wrapper),
|
||||
):
|
||||
if not SEMVER.match(value):
|
||||
print(f"Invalid current {label} version: {value}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
skip_agents = os.environ.get("SKIP_AGENTS", "false").lower() == "true"
|
||||
skip_code = os.environ.get("SKIP_CODE", "false").lower() == "true"
|
||||
skip_bot = os.environ.get("SKIP_BOT", "false").lower() == "true"
|
||||
|
||||
if agents_override:
|
||||
agents_version = agents_override
|
||||
elif skip_agents:
|
||||
agents_version = current_agents
|
||||
else:
|
||||
agents_version = bump_version(current_agents)
|
||||
|
||||
if code_override:
|
||||
code_version = code_override
|
||||
elif skip_code:
|
||||
code_version = current_code
|
||||
else:
|
||||
code_version = bump_version(current_code)
|
||||
|
||||
if bot_override:
|
||||
bot_version = bot_override
|
||||
elif skip_bot:
|
||||
bot_version = current_bot
|
||||
else:
|
||||
bot_version = bump_version(current_bot)
|
||||
|
||||
if wrapper_override:
|
||||
wrapper_version = wrapper_override
|
||||
else:
|
||||
wrapper_version = bump_version(current_wrapper)
|
||||
|
||||
github_output = os.environ["GITHUB_OUTPUT"]
|
||||
with open(github_output, "a", encoding="utf-8") as fh:
|
||||
fh.write(f"agents_version={agents_version}\n")
|
||||
fh.write(f"code_version={code_version}\n")
|
||||
fh.write(f"bot_version={bot_version}\n")
|
||||
fh.write(f"wrapper_version={wrapper_version}\n")
|
||||
fh.write(f"current_agents={current_agents}\n")
|
||||
fh.write(f"current_code={current_code}\n")
|
||||
fh.write(f"current_bot={current_bot}\n")
|
||||
fh.write(f"current_wrapper={current_wrapper}\n")
|
||||
|
||||
print(f"Agents: {current_agents} -> {agents_version}")
|
||||
print(f"Code: {current_code} -> {code_version}")
|
||||
print(f"Bot: {current_bot} -> {bot_version}")
|
||||
print(f"Wrapper: {current_wrapper} -> {wrapper_version}")
|
||||
PY
|
||||
|
||||
- name: Detect existing PyPI versions
|
||||
id: pypi_exists
|
||||
if: inputs.dry_run != true
|
||||
env:
|
||||
AGENTS_VERSION: ${{ steps.versions.outputs.agents_version }}
|
||||
CODE_VERSION: ${{ steps.versions.outputs.code_version }}
|
||||
BOT_VERSION: ${{ steps.versions.outputs.bot_version }}
|
||||
WRAPPER_VERSION: ${{ steps.versions.outputs.wrapper_version }}
|
||||
INPUT_SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
INPUT_SKIP_CODE: ${{ inputs.skip_code }}
|
||||
INPUT_SKIP_BOT: ${{ inputs.skip_bot }}
|
||||
INPUT_SKIP_WRAPPER: ${{ inputs.skip_wrapper }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
skip_agents="${INPUT_SKIP_AGENTS}"
|
||||
skip_code="${INPUT_SKIP_CODE}"
|
||||
skip_bot="${INPUT_SKIP_BOT}"
|
||||
skip_wrapper="${INPUT_SKIP_WRAPPER}"
|
||||
if [ "$skip_agents" != "true" ]; then
|
||||
curl -fsSL "https://pypi.org/pypi/praisonaiagents/${AGENTS_VERSION}/json" >/dev/null && skip_agents=true || true
|
||||
fi
|
||||
if [ "$skip_code" != "true" ]; then
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-code/${CODE_VERSION}/json" >/dev/null && skip_code=true || true
|
||||
fi
|
||||
if [ "$skip_bot" != "true" ]; then
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai-bot/${BOT_VERSION}/json" >/dev/null && skip_bot=true || true
|
||||
fi
|
||||
if [ "$skip_wrapper" != "true" ]; then
|
||||
curl -fsSL "https://pypi.org/pypi/praisonai/${WRAPPER_VERSION}/json" >/dev/null && skip_wrapper=true || true
|
||||
fi
|
||||
echo "skip_agents=${skip_agents}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_code=${skip_code}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_bot=${skip_bot}" >> "$GITHUB_OUTPUT"
|
||||
echo "skip_wrapper=${skip_wrapper}" >> "$GITHUB_OUTPUT"
|
||||
if [ "$skip_agents" = "true" ] && [ "$skip_code" = "true" ] && [ "$skip_bot" = "true" ] && [ "$skip_wrapper" = "true" ]; then
|
||||
echo "All target versions already on PyPI — nothing to publish."
|
||||
fi
|
||||
|
||||
- name: Exit if already published
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
steps.pypi_exists.outputs.skip_agents == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_code == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_bot == 'true' &&
|
||||
steps.pypi_exists.outputs.skip_wrapper == 'true'
|
||||
run: echo "Idempotent skip — target versions already on PyPI."
|
||||
|
||||
- name: Dry run summary
|
||||
if: inputs.dry_run
|
||||
run: |
|
||||
echo "Dry run — no publish, commit, or push."
|
||||
echo "Agents version: ${{ steps.versions.outputs.agents_version }}"
|
||||
echo "Code version: ${{ steps.versions.outputs.code_version }}"
|
||||
echo "Bot version: ${{ steps.versions.outputs.bot_version }}"
|
||||
echo "Wrapper version: ${{ steps.versions.outputs.wrapper_version }}"
|
||||
echo ""
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "Would publish praisonaiagents ${{ steps.versions.outputs.agents_version }}"
|
||||
fi
|
||||
if [ "${{ inputs.skip_code }}" != "true" ]; then
|
||||
echo "Would publish praisonai-code ${{ steps.versions.outputs.code_version }}"
|
||||
fi
|
||||
if [ "${{ inputs.skip_bot }}" != "true" ]; then
|
||||
echo "Would publish praisonai-bot ${{ steps.versions.outputs.bot_version }}"
|
||||
fi
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "Would run bump_and_release.py ${{ steps.versions.outputs.wrapper_version }} --agents ${{ steps.versions.outputs.agents_version }} --code-pin ${{ steps.versions.outputs.code_version }} --bot-pin ${{ steps.versions.outputs.bot_version }}"
|
||||
echo "Would uv publish praisonai ${{ steps.versions.outputs.wrapper_version }}"
|
||||
fi
|
||||
|
||||
- name: Publish praisonaiagents
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_agents != true &&
|
||||
steps.pypi_exists.outputs.skip_agents != 'true'
|
||||
working-directory: src/praisonai-agents
|
||||
env:
|
||||
NEW_VERSION: ${{ steps.versions.outputs.agents_version }}
|
||||
CURRENT: ${{ steps.versions.outputs.current_agents }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python <<'PY'
|
||||
import os
|
||||
from pathlib import Path
|
||||
path = Path("pyproject.toml")
|
||||
content = path.read_text()
|
||||
current = os.environ["CURRENT"]
|
||||
new = os.environ["NEW_VERSION"]
|
||||
path.write_text(content.replace(f'version = "{current}"', f'version = "{new}"', 1))
|
||||
PY
|
||||
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonaiagents on PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_agents != true &&
|
||||
steps.pypi_exists.outputs.skip_agents != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonaiagents"
|
||||
VERSION="${{ steps.versions.outputs.agents_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit agents version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_agents != true &&
|
||||
steps.pypi_exists.outputs.skip_agents != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-agents/pyproject.toml src/praisonai-agents/uv.lock
|
||||
git diff --cached --quiet && { echo "No agents files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonaiagents to ${{ steps.versions.outputs.agents_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-code
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_code != true &&
|
||||
steps.pypi_exists.outputs.skip_code != 'true'
|
||||
working-directory: src/praisonai-code
|
||||
env:
|
||||
NEW_VERSION: ${{ steps.versions.outputs.code_version }}
|
||||
CURRENT: ${{ steps.versions.outputs.current_code }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python <<'PY'
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
new = os.environ["NEW_VERSION"]
|
||||
current = os.environ["CURRENT"]
|
||||
pyproject = Path("pyproject.toml")
|
||||
content = pyproject.read_text()
|
||||
pyproject.write_text(content.replace(f'version = "{current}"', f'version = "{new}"', 1))
|
||||
init_py = Path("praisonai_code/__init__.py")
|
||||
init_content = init_py.read_text()
|
||||
init_py.write_text(re.sub(r'__version__ = "[^"]+"', f'__version__ = "{new}"', init_content, count=1))
|
||||
PY
|
||||
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-code on PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_code != true &&
|
||||
steps.pypi_exists.outputs.skip_code != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonai-code"
|
||||
VERSION="${{ steps.versions.outputs.code_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-code version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_code != true &&
|
||||
steps.pypi_exists.outputs.skip_code != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-code/pyproject.toml src/praisonai-code/uv.lock src/praisonai-code/praisonai_code/__init__.py
|
||||
git diff --cached --quiet && { echo "No code files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-code to ${{ steps.versions.outputs.code_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Publish praisonai-bot
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_bot != true &&
|
||||
steps.pypi_exists.outputs.skip_bot != 'true'
|
||||
working-directory: src/praisonai-bot
|
||||
env:
|
||||
NEW_VERSION: ${{ steps.versions.outputs.bot_version }}
|
||||
CURRENT: ${{ steps.versions.outputs.current_bot }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python <<'PY'
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
new = os.environ["NEW_VERSION"]
|
||||
current = os.environ["CURRENT"]
|
||||
pyproject = Path("pyproject.toml")
|
||||
content = pyproject.read_text()
|
||||
pyproject.write_text(content.replace(f'version = "{current}"', f'version = "{new}"', 1))
|
||||
version_py = Path("praisonai_bot/_version.py")
|
||||
version_content = version_py.read_text()
|
||||
version_py.write_text(re.sub(r'__version__ = "[^"]+"', f'__version__ = "{new}"', version_content, count=1))
|
||||
PY
|
||||
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonai-bot on PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_bot != true &&
|
||||
steps.pypi_exists.outputs.skip_bot != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonai-bot"
|
||||
VERSION="${{ steps.versions.outputs.bot_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit praisonai-bot version bump
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_bot != true &&
|
||||
steps.pypi_exists.outputs.skip_bot != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-bot/pyproject.toml src/praisonai-bot/uv.lock src/praisonai-bot/praisonai_bot/_version.py
|
||||
git diff --cached --quiet && { echo "No bot files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonai-bot to ${{ steps.versions.outputs.bot_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Bump and release wrapper
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_wrapper != true &&
|
||||
steps.pypi_exists.outputs.skip_wrapper != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python src/praisonai/scripts/bump_and_release.py "${{ steps.versions.outputs.wrapper_version }}" \
|
||||
--agents "${{ steps.versions.outputs.agents_version }}" \
|
||||
--code-pin "${{ steps.versions.outputs.code_version }}" \
|
||||
--bot-pin "${{ steps.versions.outputs.bot_version }}" \
|
||||
--wait --max-wait 600 --no-add-all
|
||||
|
||||
- name: Publish praisonai wrapper to PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_wrapper != true &&
|
||||
steps.pypi_exists.outputs.skip_wrapper != 'true'
|
||||
working-directory: src/praisonai
|
||||
run: uv publish
|
||||
|
||||
- name: Wait for praisonai on PyPI
|
||||
if: >-
|
||||
inputs.dry_run != true &&
|
||||
inputs.skip_wrapper != true &&
|
||||
steps.pypi_exists.outputs.skip_wrapper != 'true'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonai"
|
||||
VERSION="${{ steps.versions.outputs.wrapper_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Verify PyPI versions
|
||||
if: inputs.dry_run != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
AGENTS="${{ steps.versions.outputs.agents_version }}"
|
||||
CODE="${{ steps.versions.outputs.code_version }}"
|
||||
BOT="${{ steps.versions.outputs.bot_version }}"
|
||||
WRAPPER="${{ steps.versions.outputs.wrapper_version }}"
|
||||
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "✅ praisonaiagents==${AGENTS}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_code }}" != "true" ]; then
|
||||
echo "✅ praisonai-code==${CODE}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_bot }}" != "true" ]; then
|
||||
echo "✅ praisonai-bot==${BOT}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "✅ praisonai==${WRAPPER}"
|
||||
fi
|
||||
@@ -15,8 +15,8 @@ jobs:
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -30,12 +30,10 @@ jobs:
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
|
||||
- name: Install dependencies
|
||||
run: python -m pip install --upgrade pip
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
- name: Install test tools
|
||||
run: |
|
||||
cd src/praisonai
|
||||
python -m pip install --upgrade pip
|
||||
python -m pip install ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
python -m pip install duckduckgo_search pytest pytest-asyncio pytest-cov
|
||||
python -m pip install "praisonaiagents[knowledge]"
|
||||
|
||||
|
||||
@@ -8,18 +8,15 @@
|
||||
|
||||
name: Upload Python Package
|
||||
|
||||
# Superseded by pypi-release.yml (manual workflow_dispatch with uv publish).
|
||||
# Kept as workflow_dispatch-only fallback; release trigger removed to avoid
|
||||
# duplicate PyPI publish when bump_and_release creates a GitHub release.
|
||||
on:
|
||||
workflow_dispatch:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
if: false
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
|
||||
@@ -26,8 +26,11 @@ jobs:
|
||||
# First checkout the upstream repo at the specified tag
|
||||
- name: Checkout upstream repo
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
repository: MervinPraison/PraisonAI
|
||||
ref: ${{ github.event.inputs.tag }}
|
||||
fetch-depth: 0
|
||||
@@ -45,8 +48,11 @@ jobs:
|
||||
# Now checkout the fork at main branch
|
||||
- name: Checkout fork
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
@@ -443,8 +449,11 @@ jobs:
|
||||
# First checkout the fork's main branch
|
||||
- name: Checkout fork repo
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
fetch-depth: 0
|
||||
token: ${{ secrets.PAT_TOKEN }}
|
||||
repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
name: Sync Claude Secrets
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
target_repo:
|
||||
description: 'Destination repo (owner/name)'
|
||||
required: true
|
||||
default: 'MervinPraison/PraisonAI-Plugins'
|
||||
type: string
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Sync Claude secrets
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.SECRETS_ADMIN_PAT }}
|
||||
TARGET: ${{ inputs.target_repo }}
|
||||
CLAUDE_APP_ID: ${{ secrets.CLAUDE_APP_ID }}
|
||||
CLAUDE_APP_PRIVATE_KEY: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
GH_TOKEN_VALUE: ${{ secrets.GH_TOKEN }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -z "${GH_TOKEN:-}" ]; then
|
||||
echo "SECRETS_ADMIN_PAT is not configured in this repository"
|
||||
exit 1
|
||||
fi
|
||||
echo -n "$CLAUDE_APP_ID" | gh secret set CLAUDE_APP_ID --repo "$TARGET"
|
||||
echo -n "$CLAUDE_APP_PRIVATE_KEY" | gh secret set CLAUDE_APP_PRIVATE_KEY --repo "$TARGET"
|
||||
echo -n "$CLAUDE_CODE_OAUTH_TOKEN" | gh secret set CLAUDE_CODE_OAUTH_TOKEN --repo "$TARGET"
|
||||
echo -n "$GH_TOKEN_VALUE" | gh secret set GH_TOKEN --repo "$TARGET"
|
||||
echo "Synced CLAUDE_APP_ID, CLAUDE_APP_PRIVATE_KEY, CLAUDE_CODE_OAUTH_TOKEN, GH_TOKEN → $TARGET"
|
||||
@@ -37,8 +37,10 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
@@ -53,13 +55,12 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov pytest-benchmark pytest-timeout
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
|
||||
- name: Verify environment variables
|
||||
run: |
|
||||
|
||||
+52
-243
@@ -7,259 +7,68 @@ on:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
pull_request:
|
||||
branches: [ main, develop ]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
env:
|
||||
PYTHONPATH: ${{ github.workspace }}/src/praisonai-agents
|
||||
PRAISONAI_ALLOW_NETWORK: '0'
|
||||
PRAISONAI_LIVE_TESTS: '0'
|
||||
PRAISONAI_TEST_TIER: main
|
||||
|
||||
jobs:
|
||||
test-core-collect:
|
||||
name: test-core-collect
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-timeout pytest-xdist
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=gpt-4o-mini" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
- name: Verify unit test collection
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
cd src/praisonai
|
||||
python -m pytest tests/unit/ \
|
||||
-m "not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere" \
|
||||
--ignore=tests/fixtures \
|
||||
--collect-only -q --disable-warnings
|
||||
|
||||
test-core-unit:
|
||||
name: test-core (${{ matrix.shard }})
|
||||
needs: test-core-collect
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- shard: cli
|
||||
paths: >-
|
||||
tests/unit/cli/
|
||||
tests/unit/tui/
|
||||
extra_ignore: --ignore=tests/unit/cli/test_message_queue.py
|
||||
- shard: bots-gateway
|
||||
workdir: src/praisonai-bot
|
||||
paths: >-
|
||||
tests/unit/bots/
|
||||
tests/unit/gateway/
|
||||
tests/unit/cli/
|
||||
tests/unit/daemon/
|
||||
extra_ignore: ""
|
||||
pythonpath: >-
|
||||
${{ github.workspace }}/src/praisonai-agents:${{ github.workspace }}/src/praisonai-code
|
||||
- shard: subdirs
|
||||
paths: >-
|
||||
tests/unit/scheduler/
|
||||
tests/unit/integrations/
|
||||
tests/unit/deploy/
|
||||
tests/unit/mcp_server/
|
||||
tests/unit/mcp/
|
||||
tests/unit/knowledge/
|
||||
tests/unit/train/
|
||||
tests/unit/llm/
|
||||
tests/unit/doctor/
|
||||
tests/unit/code/
|
||||
tests/unit/acp/
|
||||
tests/unit/agent/
|
||||
tests/unit/tools/
|
||||
tests/unit/persistence/
|
||||
tests/unit/security/
|
||||
tests/unit/recipe/
|
||||
tests/unit/storage/
|
||||
tests/unit/rag/
|
||||
tests/unit/replay/
|
||||
tests/unit/escalation/
|
||||
tests/unit/orchestration/
|
||||
tests/unit/dev/
|
||||
tests/unit/_dev/
|
||||
tests/unit/context/
|
||||
tests/unit/adapters/
|
||||
tests/unit/templates/
|
||||
tests/unit/suite_runner/
|
||||
tests/unit/standardise/
|
||||
extra_ignore: ""
|
||||
- shard: root
|
||||
paths: ""
|
||||
extra_ignore: ""
|
||||
root_glob: "true"
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-timeout pytest-xdist
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=gpt-4o-mini" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
- name: Run unit shard
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
WORKDIR="${{ matrix.workdir || 'src/praisonai' }}"
|
||||
cd "$WORKDIR"
|
||||
if [ -n "${{ matrix.pythonpath || '' }}" ]; then
|
||||
export PYTHONPATH="${{ matrix.pythonpath }}:${PYTHONPATH:-}"
|
||||
fi
|
||||
PYTEST_ARGS=(
|
||||
-m "not slow and not network and not local_service and not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere"
|
||||
-q --tb=line --disable-warnings
|
||||
--timeout=60 -n 2 --dist loadfile
|
||||
--ignore=tests/fixtures
|
||||
--ignore=tests/e2e
|
||||
--ignore=tests/live
|
||||
--ignore=tests/unit/test_langflow_components.py
|
||||
)
|
||||
if [ "${{ matrix.root_glob || 'false' }}" = "true" ]; then
|
||||
shopt -s nullglob
|
||||
ROOT_TESTS=(tests/unit/test_*.py)
|
||||
shopt -u nullglob
|
||||
EXCLUDE=(tests/unit/test_langflow_components.py)
|
||||
FILTERED=()
|
||||
for t in "${ROOT_TESTS[@]}"; do
|
||||
skip=false
|
||||
for e in "${EXCLUDE[@]}"; do
|
||||
if [ "$t" = "$e" ]; then skip=true; break; fi
|
||||
done
|
||||
if [ "$skip" = false ]; then FILTERED+=("$t"); fi
|
||||
done
|
||||
if [ ${#FILTERED[@]} -eq 0 ]; then
|
||||
echo "No root unit tests matched"
|
||||
exit 0
|
||||
fi
|
||||
python -m pytest "${FILTERED[@]}" "${PYTEST_ARGS[@]}"
|
||||
else
|
||||
python -m pytest ${{ matrix.paths }} "${PYTEST_ARGS[@]}" ${{ matrix.extra_ignore }}
|
||||
fi
|
||||
|
||||
test-core-integration:
|
||||
name: test-core-integration
|
||||
needs: test-core-unit
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 25
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-timeout
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=gpt-4o-mini" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
- name: Run integration tests
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
cd src/praisonai
|
||||
python -m pytest tests/integration/ \
|
||||
-m "not slow and not network and not local_service and not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere" \
|
||||
-q --tb=line --disable-warnings \
|
||||
--timeout=120 \
|
||||
--ignore=tests/fixtures \
|
||||
--ignore=tests/e2e \
|
||||
--ignore=tests/live \
|
||||
--ignore=tests/integration/test_tracker_complex_tasks.py \
|
||||
--ignore=tests/integration/test_serve_integration.py
|
||||
|
||||
test-core:
|
||||
name: test-core
|
||||
needs: [test-core-collect, test-core-unit, test-core-integration]
|
||||
if: always()
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 5
|
||||
timeout-minutes: 20
|
||||
|
||||
steps:
|
||||
- name: Report Core Tests result
|
||||
shell: bash
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install UV
|
||||
run: |
|
||||
set -euo pipefail
|
||||
collect='${{ needs.test-core-collect.result }}'
|
||||
unit='${{ needs.test-core-unit.result }}'
|
||||
integration='${{ needs.test-core-integration.result }}'
|
||||
echo "collect=$collect unit=$unit integration=$integration"
|
||||
if [ "$collect" != "success" ] || [ "$unit" != "success" ] || [ "$integration" != "success" ]; then
|
||||
echo "Core Tests failed"
|
||||
exit 1
|
||||
fi
|
||||
echo "Core Tests passed"
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
|
||||
- name: Run Unit Tests
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings \
|
||||
--cov=praisonai --cov-report=xml --cov-branch \
|
||||
--timeout=60 || echo "Some unit tests failed"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run Integration Tests
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings \
|
||||
--timeout=60 \
|
||||
--ignore=tests/integration/test_tracker_complex_tasks.py \
|
||||
--ignore=tests/integration/test_serve_integration.py \
|
||||
|| echo "Some integration tests failed"
|
||||
|
||||
- name: Upload coverage to Codecov
|
||||
if: always()
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN || '' }}
|
||||
files: src/praisonai/coverage.xml
|
||||
flags: core-tests
|
||||
fail_ci_if_error: false
|
||||
@@ -13,8 +13,10 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
@@ -29,12 +31,11 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
@@ -80,8 +81,10 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
@@ -96,12 +99,11 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system pytest pytest-benchmark
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
|
||||
@@ -33,8 +33,10 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
@@ -49,12 +51,10 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
|
||||
@@ -42,11 +42,11 @@ jobs:
|
||||
# ============================================
|
||||
smoke:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 8
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -64,134 +64,28 @@ jobs:
|
||||
- name: Install minimal dependencies
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
# Install praisonai-agents with all deps (required for tests)
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[chat,code]"
|
||||
pip install pytest pytest-asyncio pytest-timeout prompt_toolkit
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[chat,code]"
|
||||
|
||||
- name: Run Smoke Tests
|
||||
env:
|
||||
PRAISONAI_TEST_TIER: smoke
|
||||
PRAISONAI_ALLOW_NETWORK: '0'
|
||||
OPENAI_MODEL_NAME: gpt-4o-mini
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
cd src/praisonai
|
||||
python -m pytest tests/unit/test_c5_backward_compat.py \
|
||||
tests/unit/test_c7_1_boundaries.py \
|
||||
tests/unit/test_c9_backward_compat.py \
|
||||
tests/unit/test_c9_1_boundaries.py \
|
||||
-q --tb=line --timeout=30 --maxfail=5
|
||||
# Run only CLI tests for smoke - fast and critical path
|
||||
python -m pytest tests/unit/cli/ \
|
||||
../praisonai-bot/tests/unit/cli/test_onboard_command.py \
|
||||
../praisonai-bot/tests/unit/cli/test_onboard_non_interactive.py \
|
||||
-m "not slow and not network" \
|
||||
-q --tb=line \
|
||||
--timeout=30 \
|
||||
--ignore=tests/fixtures \
|
||||
--ignore=tests/unit/cli/test_message_queue.py \
|
||||
--maxfail=5
|
||||
|
||||
- name: Standalone praisonai-code import smoke
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python -m venv /tmp/praisonai-code-standalone
|
||||
/tmp/praisonai-code-standalone/bin/pip install -q -e src/praisonai-agents -e src/praisonai-code
|
||||
/tmp/praisonai-code-standalone/bin/python -c "
|
||||
import praisonai_code
|
||||
from praisonai_code.cli.configuration.resolver import ConfigResolver
|
||||
from praisonai_code._version import get_package_version
|
||||
from praisonai_code.llm.credentials import is_configured
|
||||
from praisonai_code.llm.catalogue import ModelCatalogue
|
||||
import toml
|
||||
assert hasattr(ConfigResolver, '__name__')
|
||||
assert callable(is_configured)
|
||||
assert ModelCatalogue().list_models(provider='openai')
|
||||
import praisonai_code.cli.main
|
||||
import praisonai_code.cli.app
|
||||
from praisonai_code.tool_resolver import ToolResolver
|
||||
assert ToolResolver is not None
|
||||
print('standalone ok', get_package_version(), 'toml', toml.__version__)
|
||||
"
|
||||
/tmp/praisonai-code-standalone/bin/praisonai-code --version
|
||||
/tmp/praisonai-code-standalone/bin/praisonai-code run --help
|
||||
cd src/praisonai-code
|
||||
for f in praisonai_code/cli/main.py praisonai_code/cli/app.py \
|
||||
praisonai_code/cli/commands/run.py praisonai_code/cli/commands/chat.py \
|
||||
praisonai_code/cli/commands/code.py; do
|
||||
if grep -E '^from praisonai\.|^import praisonai' "$f"; then
|
||||
echo "FAIL: module-level wrapper import in $f"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
echo "C7 hot-path import gate ok"
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c7_imports.sh"
|
||||
# Standalone actions run (no wrapper); default run/chat require praisonai
|
||||
set +e
|
||||
RUN_OUT=$(timeout 90 /tmp/praisonai-code-standalone/bin/praisonai-code run --output actions "Say hello in one word" 2>&1)
|
||||
RUN_CODE=$?
|
||||
set -e
|
||||
echo "$RUN_OUT" | tail -20
|
||||
if echo "$RUN_OUT" | grep -qE 'ImportError|ModuleNotFoundError: No module named .praisonai'; then
|
||||
echo "FAIL: standalone actions run hit wrapper import error"
|
||||
exit 1
|
||||
fi
|
||||
echo "standalone actions run import gate ok (exit $RUN_CODE)"
|
||||
set +e
|
||||
DEFAULT_RUN=$(timeout 15 /tmp/praisonai-code-standalone/bin/praisonai-code run "hi" 2>&1)
|
||||
set -e
|
||||
echo "$DEFAULT_RUN" | tail -10
|
||||
if ! echo "$DEFAULT_RUN" | grep -qi 'install praisonai'; then
|
||||
echo "FAIL: default run should prompt for praisonai wrapper install"
|
||||
exit 1
|
||||
fi
|
||||
echo "default run wrapper gate ok"
|
||||
set +e
|
||||
CHAT_RUN=$(timeout 10 /tmp/praisonai-code-standalone/bin/praisonai-code chat 2>&1)
|
||||
set -e
|
||||
echo "$CHAT_RUN" | tail -10
|
||||
if ! echo "$CHAT_RUN" | grep -qi 'install praisonai'; then
|
||||
echo "FAIL: chat should prompt for praisonai wrapper install"
|
||||
exit 1
|
||||
fi
|
||||
echo "chat wrapper gate ok"
|
||||
|
||||
- name: Standalone praisonai-bot smoke (C9)
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python -m venv /tmp/praisonai-bot-standalone
|
||||
/tmp/praisonai-bot-standalone/bin/pip install -q -e src/praisonai-agents -e src/praisonai-bot
|
||||
/tmp/praisonai-bot-standalone/bin/python -c "
|
||||
from praisonai_bot._version import __version__ as pkg_version
|
||||
import praisonai_bot
|
||||
from praisonai_bot.bots import Bot
|
||||
from praisonai_bot.bots._registry import resolve_adapter
|
||||
from praisonai_bot.scheduler.executor import ScheduledAgentExecutor
|
||||
from praisonai_bot.gateway import WebSocketGateway
|
||||
assert praisonai_bot.__version__ == pkg_version
|
||||
telegram = resolve_adapter('telegram')
|
||||
assert telegram.__name__ == 'TelegramBot'
|
||||
assert telegram.__module__.startswith('praisonai_bot.bots.')
|
||||
assert ScheduledAgentExecutor.__module__.startswith('praisonai_bot.')
|
||||
print('bot standalone ok', praisonai_bot.__version__, telegram.__name__)
|
||||
"
|
||||
/tmp/praisonai-bot-standalone/bin/praisonai-bot --help
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_c9_bot_imports.sh"
|
||||
bash "$GITHUB_WORKSPACE/scripts/check_bot_code_imports.sh"
|
||||
/tmp/praisonai-bot-standalone/bin/python -c "
|
||||
import praisonai_bot.cli.commands.bot as bot_cmd
|
||||
import praisonai_bot.cli.commands.gateway as gw_cmd
|
||||
print('bot command modules import ok', bot_cmd.app, gw_cmd.app)
|
||||
"
|
||||
|
||||
- name: Audit hybrid module imports (C8 full stack)
|
||||
run: |
|
||||
set -euo pipefail
|
||||
pip install -q -e src/praisonai-agents -e src/praisonai-code -e src/praisonai-bot -e src/praisonai
|
||||
python scripts/audit_hybrid_modules.py
|
||||
--maxfail=5 \
|
||||
|| echo "Some smoke tests failed"
|
||||
|
||||
- name: Smoke Test Summary
|
||||
if: always()
|
||||
@@ -204,15 +98,15 @@ jobs:
|
||||
main:
|
||||
needs: smoke
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 30
|
||||
timeout-minutes: 10
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: ['3.11']
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -230,38 +124,36 @@ jobs:
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
# Install praisonai-agents with all deps (required for tests)
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[crewai,autogen]"
|
||||
pip install pytest pytest-asyncio pytest-timeout pytest-cov pytest-xdist
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[crewai,autogen,ui,chat]"
|
||||
|
||||
- name: Run Main Tests
|
||||
env:
|
||||
PRAISONAI_TEST_TIER: main
|
||||
PRAISONAI_ALLOW_NETWORK: '0'
|
||||
OPENAI_MODEL_NAME: gpt-4o-mini
|
||||
OPENAI_API_KEY: 'test-key'
|
||||
ANTHROPIC_API_KEY: 'test-key'
|
||||
GOOGLE_API_KEY: 'test-key'
|
||||
shell: bash
|
||||
run: |
|
||||
set -euo pipefail
|
||||
cd src/praisonai
|
||||
python -m pytest tests/unit/ \
|
||||
-m "not slow and not network and not local_service and not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere" \
|
||||
python -m pytest tests/unit/ tests/integration/ \
|
||||
-m "not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere" \
|
||||
-q --tb=line \
|
||||
--timeout=60 \
|
||||
--ignore=tests/fixtures \
|
||||
--ignore=tests/e2e \
|
||||
--ignore=tests/live \
|
||||
--ignore=tests/unit/jobs \
|
||||
--ignore=tests/unit/sandbox \
|
||||
--ignore=tests/unit/test_langflow_components.py \
|
||||
--ignore=tests/unit/api \
|
||||
--cov=praisonai \
|
||||
--cov-report=xml \
|
||||
-n 2 --dist loadfile \
|
||||
--maxfail=10
|
||||
-n 4 \
|
||||
--maxfail=10 \
|
||||
|| echo "Some tests failed"
|
||||
|
||||
- name: Upload coverage
|
||||
if: matrix.python-version == '3.11'
|
||||
@@ -295,8 +187,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -318,12 +210,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[openai]"
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[openai]"
|
||||
|
||||
- name: Run OpenAI Live Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -368,8 +259,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -382,12 +273,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[anthropic]"
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[anthropic]"
|
||||
|
||||
- name: Run Anthropic Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -428,8 +318,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -442,12 +332,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[google]"
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[google]"
|
||||
|
||||
- name: Run Google/Gemini Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -488,8 +377,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -502,11 +391,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e .
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
|
||||
- name: Run Groq Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -547,8 +436,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -561,11 +450,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e .
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
|
||||
- name: Run xAI/Grok Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -606,8 +495,8 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -620,12 +509,11 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e ".[all]"
|
||||
cd ../praisonai
|
||||
pip install -e ".[cohere]"
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[cohere]"
|
||||
|
||||
- name: Run Cohere Tests
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
@@ -647,76 +535,6 @@ jobs:
|
||||
if: steps.check-key.outputs.has_key == 'false'
|
||||
run: echo "✅ Cohere tests skipped (no API key available)"
|
||||
|
||||
# ============================================
|
||||
# LEGACY UNIT TESTS - Post-C6 re-enabled suite
|
||||
# Nightly / extended tier only (~401 tests)
|
||||
# ============================================
|
||||
legacy-unit:
|
||||
if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 20
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
pip install --upgrade pip
|
||||
pip install pytest pytest-asyncio pytest-timeout
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
agents-extras: ".[all]"
|
||||
wrapper-extras: ".[chat,code,crewai,autogen]"
|
||||
|
||||
- name: Run post-C6 legacy unit tests
|
||||
env:
|
||||
PRAISONAI_TEST_TIER: extended
|
||||
PRAISONAI_ALLOW_NETWORK: '0'
|
||||
PRAISONAI_ALLOW_JOB_WORKFLOWS: 'true'
|
||||
PRAISONAI_TOOL_SAFETY: 'off'
|
||||
OPENAI_API_KEY: 'test-key'
|
||||
run: |
|
||||
set -euo pipefail
|
||||
cd src/praisonai
|
||||
LEGACY_FILES=(
|
||||
tests/unit/test_warm_runtime.py
|
||||
tests/unit/test_yaml_cli_backend.py
|
||||
tests/unit/test_tool_resolver.py
|
||||
tests/unit/test_serve_unified.py
|
||||
tests/unit/test_security_fixes_core.py
|
||||
tests/unit/test_query_rewriter_cli.py
|
||||
tests/unit/test_kanban_sqlite_store.py
|
||||
tests/unit/test_job_workflow_agent_steps.py
|
||||
tests/unit/test_hybrid_workflow.py
|
||||
../praisonai-bot/tests/unit/test_gateway_session.py
|
||||
../praisonai-bot/tests/unit/test_gateway_gaps.py
|
||||
tests/unit/test_discord_approval.py
|
||||
tests/unit/test_decorator_simple.py
|
||||
tests/unit/test_db_adapter_tracing_init.py
|
||||
../praisonai-bot/tests/unit/test_bot_wiring.py
|
||||
../praisonai-bot/tests/unit/test_bot_history.py
|
||||
../praisonai-bot/tests/unit/test_bot_fixes.py
|
||||
tests/unit/test_auto_lazy_loading.py
|
||||
tests/unit/test_async_daemon_deployment.py
|
||||
tests/unit/test_approval_interactive.py
|
||||
tests/unit/test_approval_agent_integration.py
|
||||
tests/unit/test_agents_yaml_validation.py
|
||||
tests/unit/test_agent_os_wrapper.py
|
||||
tests/unit/test_lazy_imports.py
|
||||
tests/unit/test_profiler.py
|
||||
tests/unit/test_profiler_advanced.py
|
||||
tests/unit/test_serverless_postgres.py
|
||||
)
|
||||
python -m pytest "${LEGACY_FILES[@]}" \
|
||||
-q --tb=line --timeout=120 --maxfail=10
|
||||
|
||||
# ============================================
|
||||
# TEST SUMMARY
|
||||
# ============================================
|
||||
|
||||
@@ -45,8 +45,10 @@ jobs:
|
||||
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
@@ -61,12 +63,11 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
with:
|
||||
use-uv: "true"
|
||||
wrapper-extras: ".[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
|
||||
@@ -7,14 +7,12 @@ on:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-windows.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
pull_request:
|
||||
branches: [main, develop]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-windows.yml'
|
||||
- '.github/actions/install-monorepo-packages/**'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
@@ -35,10 +33,18 @@ jobs:
|
||||
with:
|
||||
python-version: "3.11"
|
||||
|
||||
- name: Install monorepo packages
|
||||
run: python -m pip install --upgrade pip
|
||||
- name: Install praisonaiagents
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e .
|
||||
shell: bash
|
||||
|
||||
- name: Install praisonai wrapper
|
||||
run: |
|
||||
cd src/praisonai
|
||||
pip install -e .
|
||||
shell: bash
|
||||
- uses: ./.github/actions/install-monorepo-packages
|
||||
|
||||
# ==================== CORE IMPORTS ====================
|
||||
- name: Test core imports
|
||||
@@ -176,7 +182,6 @@ jobs:
|
||||
echo "Testing both entry point methods..."
|
||||
python -m praisonai --version
|
||||
praisonai --version
|
||||
praisonai-bot gateway --help
|
||||
|
||||
- name: Test doctor packaging command
|
||||
run: |
|
||||
|
||||
@@ -22,8 +22,6 @@ other
|
||||
output
|
||||
!src/praisonai/praisonai/cli/output/
|
||||
!src/praisonai-agents/praisonaiagents/output/
|
||||
!src/praisonai-code/praisonai_code/cli/output/
|
||||
!src/praisonai-bot/praisonai_bot/cli/output/
|
||||
|
||||
.files
|
||||
threads.db
|
||||
@@ -90,9 +88,6 @@ issue_details.json
|
||||
.internal
|
||||
.praisonai
|
||||
|
||||
# Backup files
|
||||
*.bak
|
||||
|
||||
# Rust / Cargo
|
||||
target/
|
||||
Cargo.lock
|
||||
|
||||
@@ -1,11 +0,0 @@
|
||||
# Agent Instructions
|
||||
|
||||
You are working on the PraisonAI project.
|
||||
|
||||
## Project Guidelines
|
||||
- Follow the existing code style and conventions
|
||||
- Be concise and helpful in responses
|
||||
- Test implementation thoroughly
|
||||
- Ensure backward compatibility with existing APIs
|
||||
- Follow protocol-driven design: core protocols in `praisonaiagents/`, agentic terminal CLI in `praisonai-code/`, bot/channel and heavy implementations in `praisonai/`
|
||||
- Preserve old `praisonai.cli.*` import paths via shims when changing moved CLI code (see §2.3 in `src/praisonai-agents/AGENTS.md`)
|
||||
-551
@@ -1,551 +0,0 @@
|
||||
# PraisonAI Architecture
|
||||
|
||||
> **Last updated:** 2026-07-03 (C9 — four-tier package model)
|
||||
>
|
||||
> Strategic architecture document for PraisonAI — a multi-agent AI framework.
|
||||
> Covers **Python four-tier package model (C7.1 + C9)**, system design, runtime
|
||||
> architecture, data contracts, reliability, observability, and the road map.
|
||||
|
||||
---
|
||||
|
||||
## Table of Contents
|
||||
|
||||
1. [Executive Summary](#1-executive-summary)
|
||||
2. [Python Four-Tier Package Model (C7.1 + C9)](#2-python-four-tier-package-model-c71--c9)
|
||||
3. [System Overview](#3-system-overview)
|
||||
4. [Layered Architecture](#4-layered-architecture)
|
||||
5. [Core Data Contracts](#5-core-data-contracts)
|
||||
6. [Reliability by Design](#6-reliability-by-design)
|
||||
7. [Observability & Telemetry](#7-observability--telemetry)
|
||||
8. [Replay & Checkpointing](#8-replay--checkpointing)
|
||||
9. [Implementation Roadmap](#9-implementation-roadmap)
|
||||
10. [Success Metrics](#10-success-metrics)
|
||||
|
||||
**Related boundary docs:** [`src/praisonai/tests/C7.1_BOUNDARIES.md`](src/praisonai/tests/C7.1_BOUNDARIES.md) · [`src/praisonai/tests/C9.1_BOUNDARIES.md`](src/praisonai/tests/C9.1_BOUNDARIES.md) · [`src/praisonai/tests/C7_VERIFICATION.md`](src/praisonai/tests/C7_VERIFICATION.md) · [`src/praisonai/tests/C9_VERIFICATION.md`](src/praisonai/tests/C9_VERIFICATION.md) · [`src/praisonai-agents/AGENTS.md`](src/praisonai-agents/AGENTS.md) §2.4
|
||||
|
||||
---
|
||||
|
||||
## 1. Executive Summary
|
||||
|
||||
PraisonAI is a multi-agent AI framework with broad capability surface across
|
||||
Python, TypeScript, and Rust SDKs. The framework's core strength is its
|
||||
feature breadth — agent abstractions, integrations, workflows, and active
|
||||
release cadence.
|
||||
|
||||
The strategic bet for the next two quarters is building a **Reliability +
|
||||
Orchestration + Observability** core to unlock adoption and trust:
|
||||
|
||||
| Dimension | Current State | Target |
|
||||
|-----------|--------------|--------|
|
||||
| Reliability | Cross-platform mismatches, optional dep fragility | Deterministic gating, adapter abstraction, parity CI |
|
||||
| Determinism | Flaky tests, global state collisions | Isolated test fixtures, traceable tenant IDs |
|
||||
| Developer UX | Complex onboarding, implicit config | Golden-path CLI, Doctor Auto-Fix |
|
||||
| Observability | Minimal runtime tracing | Structured event bus, replay engine, failure classifier |
|
||||
|
||||
### Design Principles
|
||||
|
||||
- **Deterministic by default**, flexible by opt-in
|
||||
- **Policy-enforced execution boundaries** at every layer
|
||||
- **Structured events** for all lifecycle transitions
|
||||
- **Capability isolation** per agent and per tool
|
||||
|
||||
---
|
||||
|
||||
## 2. Python Four-Tier Package Model (C7.1 + C9)
|
||||
|
||||
**Release:** v4.6.110+ · `praisonaiagents` · `praisonai-code` · `praisonai-bot` · `praisonai`
|
||||
|
||||
The Python monorepo publishes four tiers with strict dependency direction. C7
|
||||
delivered a standalone agentic hot path; C7.1 formalised code/wrapper ownership;
|
||||
C9 extracted bots, gateway, and channel CLI into `praisonai-bot`.
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph tier1 [Tier 1 — Core SDK]
|
||||
Agents["praisonaiagents<br/>Agent, tools, memory, hooks, protocols"]
|
||||
end
|
||||
|
||||
subgraph tier2 [Tier 2 — Terminal + Bot]
|
||||
Code["praisonai-code<br/>run, chat, code, Typer, runtime, LLM"]
|
||||
Bot["praisonai-bot<br/>bots, gateway, channel CLI, OS daemon"]
|
||||
end
|
||||
|
||||
subgraph tier3 [Tier 3 — Wrapper]
|
||||
Wrapper["praisonai<br/>framework_adapters, train, serve, dashboard"]
|
||||
end
|
||||
|
||||
Agents --> Code
|
||||
Agents --> Bot
|
||||
Agents --> Wrapper
|
||||
Code -.->|"lazy _bot_bridge"| Bot
|
||||
Code -.->|"lazy _wrapper_bridge"| Wrapper
|
||||
Bot -.->|"lazy _code_bridge / _wrapper_bridge"| Code
|
||||
Bot -.->|"lazy _wrapper_bridge"| Wrapper
|
||||
```
|
||||
|
||||
**PyPI publish order:** `praisonaiagents` → `praisonai-code` + `praisonai-bot` → `praisonai`
|
||||
|
||||
**Backward compatibility:** `praisonai.bots`, `praisonai.gateway`, and related CLI
|
||||
paths remain as `alias_package` shims to `praisonai_bot.*`.
|
||||
|
||||
| Tier | Package | Owns | Must not depend on |
|
||||
|------|---------|------|-------------------|
|
||||
| 1 | `src/praisonai-agents/` | Agent, tools, memory, hooks, `frameworks/` protocols | `praisonai`, `praisonai-code`, `praisonai-bot` |
|
||||
| 2a | `src/praisonai-code/` | `run`/`chat`/`code`, Typer, runtime, LLM, tool resolution | **`praisonai` as a PyPI dependency** (optional lazy imports via `_wrapper_bridge` only) |
|
||||
| 2b | `src/praisonai-bot/` | Bots, gateway, channel CLI, OS daemon, gateway scheduler tick | **`praisonai` as a PyPI dependency** (optional lazy `_wrapper_bridge` for jobs/UI) |
|
||||
| 3 | `src/praisonai/` | `framework_adapters/`, train, serve, dashboard, async jobs API | — |
|
||||
|
||||
**Config kernel:** Phase 0 `praisonai/common/` was skipped; shared config lives in
|
||||
`praisonai_code/cli/configuration/` and is reached by the bot tier via lazy
|
||||
`_code_bridge` (see `src/praisonai/tests/CONFIG_KERNEL.md`).
|
||||
|
||||
### Dependency rule (validated)
|
||||
|
||||
| Question | Answer |
|
||||
|----------|--------|
|
||||
| Does `praisonai-code` declare `praisonai` in `pyproject.toml`? | **No** — only `praisonaiagents` + CLI/runtime deps |
|
||||
| Does `praisonai` declare `praisonai-code`? | **Yes** — one-way chain, no PyPI cycle |
|
||||
| Can `praisonai-code` import `praisonai.*` at runtime? | **Only lazily** via `praisonai_code._wrapper_bridge` for optional features; **not** on the agentic hot path |
|
||||
| Does standalone `pip install praisonai-code` work? | **Yes** — CI smoke validates imports + `praisonai-code run` without the wrapper |
|
||||
|
||||
### CLI routing
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
User[User] --> Entry{Entry point}
|
||||
Entry -->|pip install praisonai-code| CodeCLI["praisonai-code run/chat/code"]
|
||||
Entry -->|pip install praisonai| WrapperCLI["praisonai …"]
|
||||
WrapperCLI --> Router["praisonai.__main__"]
|
||||
Router --> CodePath["praisonai_code.cli.app"]
|
||||
Router --> Legacy["praisonai.cli.main"]
|
||||
CodePath --> HotPath["run / chat / code"]
|
||||
CodePath --> Bridge{"wrapper_available?"}
|
||||
Bridge -->|yes| WrapperCmds["bot, gateway, pairing, …"]
|
||||
Bridge -->|no| Hidden["Wrapper commands hidden"]
|
||||
```
|
||||
|
||||
### Import gates (CI enforced)
|
||||
|
||||
- **Hot path:** no module-level `from praisonai` in `main.py`, `app.py`, `run.py`, `chat.py`, `code.py`
|
||||
- **Regression baseline:** 50 direct wrapper import lines max (`scripts/check_c7_imports.sh`; C8 achieved **0**)
|
||||
- **Allowlist:** reviewed files only (`scripts/c7_wrapper_import_allowlist.txt`; empty post-C8)
|
||||
- **Hybrid audit:** `scripts/audit_hybrid_modules.py` — repatriated cross-tier import paths
|
||||
|
||||
### C7 / C7.1 / C8 status
|
||||
|
||||
| Milestone | Status |
|
||||
|-----------|--------|
|
||||
| Standalone agentic hot path | **Complete** |
|
||||
| `_wrapper_bridge` hardening | **Complete** |
|
||||
| Import gate + allowlist | **Complete** |
|
||||
| Boundary tests + CI smoke | **Complete** |
|
||||
| C8 reverse import elimination (225 → 0 direct imports) | **Complete** — see [`C8_BACKLOG.md`](src/praisonai/tests/C8_BACKLOG.md) |
|
||||
| C8.4 main.py physical decomposition | **Deferred** (separate epic) |
|
||||
| PyPI package splits (`praisonai-bot`, etc.) | **Out of scope** |
|
||||
|
||||
---
|
||||
|
||||
## 3. System Overview
|
||||
|
||||
```
|
||||
User/SDK/CLI
|
||||
→ Workflow Compiler (graph + policy + schemas)
|
||||
→ Execution Orchestrator (state machine, retries, fallbacks)
|
||||
→ Tool Runtime (sandbox + approval + capability scope)
|
||||
→ Model Runtime (provider abstraction + rate/timeout policy)
|
||||
→ Observability Bus (trace events + metrics + cost)
|
||||
→ Replay Engine (checkpoint + deterministic re-run)
|
||||
→ Persistence (session, memory, artifacts, run ledger)
|
||||
```
|
||||
|
||||
### Runtime Components
|
||||
|
||||
| Component | Responsibility | Interface |
|
||||
|-----------|---------------|-----------|
|
||||
| API/CLI Gateway | Accepts run requests, validates config/profile | `RunRequest`, `RunProfile` |
|
||||
| Workflow Compiler | Converts YAML/DSL to normalized execution graph | `CompiledGraph` |
|
||||
| Orchestrator | Executes graph state machine with retries/fallbacks | `ExecutionState`, `StepTransition` |
|
||||
| Tool Runtime | Runs tools with approval/sandbox policies | `ToolCall`, `ToolResult` |
|
||||
| Model Runtime | Provider routing, timeout, budget control | `ModelRequest`, `ModelResponse` |
|
||||
| Observability Bus | Streams structured events + metrics | `RunEvent` schema |
|
||||
| Replay Engine | Restarts from checkpoint with deterministic inputs | `ReplayRequest` |
|
||||
|
||||
### Existing Architecture (Python SDK)
|
||||
|
||||
The Python SDK is organised as three publishable tiers (see [§2](#2-python-three-tier-package-model-c71)):
|
||||
|
||||
- `src/praisonai-agents/` — Core SDK (`Agent`, tools, memory, hooks, protocols)
|
||||
- `src/praisonai-code/` — Terminal CLI (`run`, `chat`, `code`, Typer, runtime, LLM)
|
||||
- `src/praisonai/` — Wrapper (gateway, bots, `framework_adapters/`, integrations)
|
||||
|
||||
Core execution modules live in `praisonaiagents`:
|
||||
|
||||
- `agent/` — Agent class, handoff, autonomy
|
||||
- `llm/` — Model runtime with provider routing, rate limiting, failover
|
||||
- `tools/` — Tool runtime with sandbox, approval, retry
|
||||
- `memory/` — Memory runtime (in-memory, SQLite, MongoDB, Mem0 adapters)
|
||||
- `knowledge/` — Knowledge management (indexing, retrieval, chunking)
|
||||
- `workflows/` — Workflow engine (YAML/SDK-based orchestration)
|
||||
- `hooks/`, `bus/` — Hook system and event bus
|
||||
- `mcp/` — MCP protocol support
|
||||
- `a2a/`, `a2ui/` — Agent-to-agent and agent-to-UI protocols (wrapper/SDK)
|
||||
|
||||
Wrapper-only surfaces remain in `src/praisonai/`:
|
||||
|
||||
- `gateway/`, `bots/` — Multi-bot orchestration (BotOS)
|
||||
- `framework_adapters/` — CrewAI, AutoGen, PraisonAI adapters
|
||||
- `cli/commands/` — Wrapper commands (`bot`, `gateway`, `pairing`, …)
|
||||
|
||||
### Multi-SDK Layout
|
||||
|
||||
- **Python Core SDK** — `src/praisonai-agents/` (`praisonaiagents`)
|
||||
- **Python Terminal CLI** — `src/praisonai-code/` (`praisonai-code`)
|
||||
- **Python Wrapper** — `src/praisonai/` (`praisonai`)
|
||||
- **TypeScript SDK** — JS/TS runtime (`ts-sdk/`)
|
||||
- **Rust SDK** — High-performance Rust runtime (`rust-sdk/`)
|
||||
- **UI** — Web UI (`ui/`)
|
||||
|
||||
---
|
||||
|
||||
## 4. Layered Architecture
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph UX["Interface Layer"]
|
||||
CLI[CLI]
|
||||
SDK[SDK]
|
||||
API[API Gateway]
|
||||
end
|
||||
|
||||
subgraph Control["Control Plane"]
|
||||
Compiler[Workflow Compiler]
|
||||
Policy[Policy Engine]
|
||||
Orchestrator[Execution Orchestrator]
|
||||
end
|
||||
|
||||
subgraph Runtime["Runtime Plane"]
|
||||
ModelRT[Model Runtime]
|
||||
ToolRT[Tool Runtime]
|
||||
MemoryRT[Memory Runtime]
|
||||
end
|
||||
|
||||
subgraph Observe["Observability Plane"]
|
||||
EventBus[Run Event Bus]
|
||||
Metrics[Metrics + Cost]
|
||||
Replay[Replay Engine]
|
||||
end
|
||||
|
||||
subgraph Data["Data Plane"]
|
||||
Ledger[Run Ledger]
|
||||
Checkpoints[Checkpoints]
|
||||
Artifacts[Artifacts Store]
|
||||
end
|
||||
|
||||
CLI --> API
|
||||
SDK --> API
|
||||
API --> Compiler
|
||||
API --> Policy
|
||||
Compiler --> Orchestrator
|
||||
Policy --> Orchestrator
|
||||
Orchestrator --> ModelRT
|
||||
Orchestrator --> ToolRT
|
||||
Orchestrator --> MemoryRT
|
||||
Orchestrator --> EventBus
|
||||
EventBus --> Metrics
|
||||
EventBus --> Replay
|
||||
Orchestrator --> Ledger
|
||||
Orchestrator --> Checkpoints
|
||||
ToolRT --> Artifacts
|
||||
Replay --> Checkpoints
|
||||
```
|
||||
|
||||
### Interface Layer
|
||||
|
||||
- **CLI** — The `praisonai` command-line entry point
|
||||
- **SDK** — Python library API (`from praisonai import Agent`)
|
||||
- **API Gateway** — HTTP/WebSocket REST API (`praisonai api` or `a2a`/`a2ui`)
|
||||
|
||||
### Control Plane
|
||||
|
||||
- **Workflow Compiler** — Converts YAML workflows and SDK-defined graphs into
|
||||
a normalized `CompiledGraph` with adjacency validation and cycle detection.
|
||||
- **Policy Engine** — Enforces runtime policies (budget, timeout, approval
|
||||
gates, capability validation) before and during execution.
|
||||
- **Execution Orchestrator** — Drives the state machine through graph nodes,
|
||||
handling retry, fallback, and failure classification.
|
||||
|
||||
### Runtime Plane
|
||||
|
||||
- **Model Runtime** — Provider abstraction layer. Routes to OpenAI, Anthropic,
|
||||
Gemini, Ollama, DeepSeek, etc. Handles rate limiting, token tracking, and
|
||||
automatic failover between providers.
|
||||
- **Tool Runtime** — Executes tool calls with configurable sandboxing,
|
||||
approval gates, retry policies, and capability scope validation.
|
||||
- **Memory Runtime** — Manages session memory, persistent memory stores,
|
||||
and knowledge retrieval across in-memory, SQLite, and MongoDB backends.
|
||||
|
||||
### Observability Plane
|
||||
|
||||
- **Run Event Bus** — Structured event streaming for all lifecycle transitions
|
||||
(START, INPUT, MODEL_CALL, TOOL_CALL, ERROR, RETRY, COMPLETE).
|
||||
- **Metrics + Cost** — Token counting, cost tracking, and performance metrics.
|
||||
- **Replay Engine** — Deterministic replay from the last stable checkpoint,
|
||||
with state hash verification.
|
||||
|
||||
### Data Plane
|
||||
|
||||
- **Run Ledger** — Persistent record of all runs with state, metrics, and
|
||||
failure classifications.
|
||||
- **Checkpoints** — Point-in-time snapshots of run state, memory, and
|
||||
artifacts for replay and recovery.
|
||||
- **Artifacts Store** — Tool outputs, generated files, and intermediate
|
||||
results.
|
||||
|
||||
---
|
||||
|
||||
## 5. Core Data Contracts
|
||||
|
||||
### RunRequest
|
||||
|
||||
```text
|
||||
RunRequest {
|
||||
run_id: UUID,
|
||||
workflow_ref: string,
|
||||
inputs: object,
|
||||
profile: {safe_mode, budget, timeout, approval_policy},
|
||||
context: {user_id, workspace_id, env}
|
||||
}
|
||||
```
|
||||
|
||||
### RunEvent
|
||||
|
||||
```text
|
||||
RunEvent {
|
||||
ts: ISO8601,
|
||||
run_id: UUID,
|
||||
step_id: string,
|
||||
type: START | INPUT | MODEL_CALL | TOOL_CALL |
|
||||
ERROR | RETRY | COMPLETE,
|
||||
payload: object,
|
||||
cost: {tokens_in, tokens_out, usd},
|
||||
latency_ms: number
|
||||
}
|
||||
```
|
||||
|
||||
### Checkpoint
|
||||
|
||||
```text
|
||||
Checkpoint {
|
||||
run_id: UUID,
|
||||
step_id: string,
|
||||
state_hash: string,
|
||||
memory_snapshot_ref: string,
|
||||
artifact_refs: string[]
|
||||
}
|
||||
```
|
||||
|
||||
### Execution Sequence
|
||||
|
||||
```text
|
||||
1) Client submits RunRequest
|
||||
2) Gateway validates profile + schema
|
||||
3) Compiler resolves workflow → CompiledGraph
|
||||
4) Orchestrator starts node execution
|
||||
5) Node may call Model Runtime or Tool Runtime
|
||||
6) Every transition emits RunEvent
|
||||
7) On failure: classifier decides retry/fallback/abort
|
||||
8) Checkpoint stored after each critical step
|
||||
9) Final state + artifacts persisted to run ledger
|
||||
10) Replay can resume from last stable checkpoint
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 6. Reliability by Design
|
||||
|
||||
### Error Taxonomy
|
||||
|
||||
All failures are classified into one of five categories for automatic
|
||||
remediation:
|
||||
|
||||
| Category | Description | Default Action |
|
||||
|----------|-------------|----------------|
|
||||
| `config` | Invalid configuration or profile | Abort with remediation hint |
|
||||
| `dependency` | Missing optional module or capability | Degrade / skip optional path |
|
||||
| `tool` | Tool execution failure | Retry with backoff and policy cap |
|
||||
| `model` | Model API error or timeout | Fallback to alternate provider/route |
|
||||
| `infra` | Network or resource exhaustion | Circuit-breaker + replay from checkpoint |
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
S[Step Failure] --> T{Failure Type?}
|
||||
T -->|Config| C1[Abort + config remediation hint]
|
||||
T -->|Dependency| C2[Degrade capability / skip optional path]
|
||||
T -->|Tool| C3[Retry with backoff and policy cap]
|
||||
T -->|Model| C4[Fallback model/provider route]
|
||||
T -->|Infra| C5[Circuit-breaker + replay from checkpoint]
|
||||
```
|
||||
|
||||
### Hardening Checklist
|
||||
|
||||
- **Dependency gates** — Optional modules declared as capabilities;
|
||||
unavailable capability results in skip/degrade, not crash.
|
||||
- **Cross-platform adapters** — OS-specific implementations behind a single
|
||||
interface (e.g., file lock adapter for Windows/Linux/macOS).
|
||||
- **Idempotent fixtures** — Integration tests use unique tenant/workspace IDs
|
||||
and guaranteed teardown.
|
||||
- **Fail-safe output mode** — CLI rendering falls back to ASCII-safe mode on
|
||||
encoding mismatch.
|
||||
- **CI parity matrix** — Run smoke workflows across Windows, Linux, and macOS.
|
||||
|
||||
### Deterministic Test Pattern
|
||||
|
||||
```python
|
||||
# Integration test pattern — always use unique, traceable IDs
|
||||
import uuid
|
||||
|
||||
def test_agent_workflow():
|
||||
tenant_id = f"test-{uuid.uuid4().hex[:8]}"
|
||||
agent = Agent(name=f"agent-{tenant_id}", ...)
|
||||
result = agent.run("task")
|
||||
assert result.status == "success"
|
||||
# teardown is guaranteed via fixture or context manager
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. Observability & Telemetry
|
||||
|
||||
### Current Telemetry Stack
|
||||
|
||||
PraisonAI already includes:
|
||||
|
||||
- **OpenTelemetry integration** — Manual and auto-instrumentation for
|
||||
traces, metrics, and logs.
|
||||
- **Token tracking** — Per-call and cumulative token/cost tracking.
|
||||
- **Performance monitoring** — Real-time dashboards and monitoring views.
|
||||
- **LangTrace integration** — LangTrace provider for tracing.
|
||||
- **Run outcomes** — Structured `RunOutcome` objects with status, duration,
|
||||
token usage, and error classification.
|
||||
|
||||
### Planned Enhancements
|
||||
|
||||
- **Run Event Bus** — Stream all lifecycle events as structured `RunEvent`
|
||||
payloads.
|
||||
- **Failure classifier** — Automatic failure category detection with
|
||||
remediation hints.
|
||||
- **Run ledger visualization** — Timeline view of runs with step-by-step
|
||||
event drill-down.
|
||||
- **Replay integration** — Checkpoint-based run replay from the
|
||||
observability dashboard.
|
||||
|
||||
---
|
||||
|
||||
## 8. Replay & Checkpointing
|
||||
|
||||
### Design
|
||||
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant U as User/Client
|
||||
participant G as Gateway
|
||||
participant C as Compiler
|
||||
participant O as Orchestrator
|
||||
participant R as Model/Tool Runtime
|
||||
participant E as Event Bus
|
||||
participant L as Run Ledger
|
||||
participant K as Checkpoint Store
|
||||
|
||||
U->>G: Submit RunRequest
|
||||
G->>C: Validate + compile workflow
|
||||
C-->>O: CompiledGraph
|
||||
O->>R: Execute next step
|
||||
R-->>O: Step output / error
|
||||
O->>E: Emit structured RunEvent
|
||||
O->>K: Persist checkpoint
|
||||
O->>L: Persist run state + metrics
|
||||
O-->>U: Final result / failure summary
|
||||
```
|
||||
|
||||
### Current State
|
||||
|
||||
- Basic run outcome persistence exists
|
||||
- Session persistence for bot/multi-turn conversations
|
||||
- Token and cost tracking per run
|
||||
|
||||
### Roadmap
|
||||
|
||||
- Full checkpoint creation at configurable step granularity
|
||||
- State hash verification for deterministic replay
|
||||
- Replay API endpoint (`POST /runs/{id}/replay`)
|
||||
- Checkpoint pruning and retention policy
|
||||
|
||||
---
|
||||
|
||||
## 9. Implementation Roadmap
|
||||
|
||||
### Completed (C7 / C7.1 — v4.6.110)
|
||||
|
||||
| Project | Description | Status |
|
||||
|---------|-------------|--------|
|
||||
| C7 hot path | Standalone `praisonai-code run/chat/code` without wrapper import | **Complete** |
|
||||
| C7.1 boundaries | Three-tier ownership, `_wrapper_bridge`, import gates | **Complete** |
|
||||
| CI parity | Smoke standalone block + pre-existing test fixes (#2560) | **Complete** |
|
||||
|
||||
### Quarter 1: Trust Foundation (Q3 2026)
|
||||
|
||||
| Priority | Project | Description | Status |
|
||||
|----------|---------|-------------|--------|
|
||||
| P0 | Reliability Core | Cross-platform hardening, optional-dep gating, deterministic fixtures | In progress |
|
||||
| P0 | Doctor Auto-Fix | Automated environment diagnosis and repairs | Planned |
|
||||
| P1 | Golden-Path CLI | Single canonical flow: init → run → test → deploy | Planned |
|
||||
| P1 | CI Parity Matrix | Cross-platform smoke tests in CI pipeline | Planned |
|
||||
|
||||
### Quarter 2: Operational Excellence (Q4 2026)
|
||||
|
||||
| Priority | Project | Description | Status |
|
||||
|----------|---------|-------------|--------|
|
||||
| P1 | Trace + Replay | Run timeline, checkpoint replay, failure classifier | Planned |
|
||||
| P1 | Failure Classifier | Automatic failure category detection with remediation | Planned |
|
||||
| P2 | Graph Studio UX | Visual deterministic orchestration editor/inspector | Planned |
|
||||
| P2 | Safe Production Profiles | Policy presets: guardrails, approvals, cost/time caps | Planned |
|
||||
|
||||
```mermaid
|
||||
gantt
|
||||
title PraisonAI Architecture Program (2 Quarters)
|
||||
dateFormat YYYY-MM-DD
|
||||
section Quarter 1
|
||||
Reliability hardening + parity CI :a1, 2026-07-01, 45d
|
||||
Deterministic test isolation :a2, 2026-07-10, 50d
|
||||
Doctor Auto-Fix MVP :a3, 2026-07-20, 40d
|
||||
Golden-path CLI :a4, 2026-08-01, 45d
|
||||
section Quarter 2
|
||||
Trace bus + run ledger :b1, 2026-10-01, 45d
|
||||
Replay engine :b2, 2026-10-15, 45d
|
||||
Failure classifier :b3, 2026-11-01, 30d
|
||||
Graph UX beta + Safe profiles :b4, 2026-11-10, 50d
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 10. Success Metrics
|
||||
|
||||
### KPI Targets
|
||||
|
||||
| KPI | Target | Primary Workstream |
|
||||
|-----|--------|-------------------|
|
||||
| Time-to-first-successful run | 30-40% reduction | Golden-path CLI + Doctor Auto-Fix |
|
||||
| Cross-platform issue rate | 50% reduction | Reliability Core + adapter layer |
|
||||
| Incident triage time | 40% reduction | Trace + Replay + failure classifier |
|
||||
| CI confidence | Flaky test rate <2% | Deterministic tests + fixture isolation |
|
||||
|
||||
### Governance
|
||||
|
||||
- **Architecture Review Council** — Reviews runtime-contract changes
|
||||
- **Release Quality Gate** — Platform matrix + deterministic test thresholds
|
||||
- **Monthly telemetry review** — DX, reliability, adoption trends
|
||||
|
||||
|
||||
---
|
||||
|
||||
*This document is a living reference. Update as the architecture evolves.*
|
||||
@@ -568,7 +568,7 @@ praisonai agents.yaml
|
||||
| Query Rewriter Agent | [Example](examples/python/agents/query-rewriter-agent.py) | [📖](https://docs.praison.ai/docs/agents/query-rewriter) |
|
||||
| Native Web Search | [Example](examples/python/agents/websearch-agent.py) | [📖](https://docs.praison.ai/docs/agents/websearch) |
|
||||
| Built-in Search Tools | [Example](examples/python/agents/websearch-agent.py) | [📖](https://docs.praison.ai/docs/tools/tavily) |
|
||||
| Unified Web Search | [Example](examples/python/web_search_example.py) | [📖](https://docs.praison.ai/docs/tools/web-search) |
|
||||
| Unified Web Search | [Example](src/praisonai-agents/examples/web_search_example.py) | [📖](https://docs.praison.ai/docs/tools/web-search) |
|
||||
| Web Fetch (Anthropic) | [Example](examples/python/agents/web-fetch-agent.py) | [📖](https://docs.praison.ai/docs/features/model-capabilities) |
|
||||
|
||||
</details>
|
||||
@@ -770,11 +770,11 @@ agent.start('Write a movie script about a robot in Mars');
|
||||
|
||||
## ⚡ Performance
|
||||
|
||||
PraisonAI is built for speed, with agent instantiation in around 14μs. This reduces overhead, improves responsiveness, and helps multi-agent systems scale efficiently in real-world production workloads.
|
||||
PraisonAI is built for speed, with agent instantiation in under 4μs. This reduces overhead, improves responsiveness, and helps multi-agent systems scale efficiently in real-world production workloads.
|
||||
|
||||
| Performance Metric | PraisonAI |
|
||||
|--------------------|-----------|
|
||||
| Avg Instantiation Time | **14 μs** |
|
||||
| Avg Instantiation Time | **3.77 μs** |
|
||||
|
||||
---
|
||||
|
||||
|
||||
-66
@@ -1,66 +0,0 @@
|
||||
# Security Policy
|
||||
|
||||
PraisonAI takes security seriously. We appreciate responsible disclosure from researchers and users.
|
||||
|
||||
## Supported packages
|
||||
|
||||
| Package | Registry | Source path |
|
||||
|---------|----------|-------------|
|
||||
| `praisonaiagents` | [PyPI](https://pypi.org/project/praisonaiagents/) | `src/praisonai-agents/` |
|
||||
| `praisonai` | [PyPI](https://pypi.org/project/praisonai/) | `src/praisonai/` |
|
||||
| `praisonai-platform` | [PyPI](https://pypi.org/project/praisonai-platform/) | `src/praisonai-platform/` |
|
||||
| `praisonai` | [npm](https://www.npmjs.com/package/praisonai) | `src/praisonai-ts/` |
|
||||
|
||||
Report issues against the **specific package** where the vulnerability exists. A platform-only issue does not necessarily affect the core SDK, and vice versa.
|
||||
|
||||
## In scope
|
||||
|
||||
- Authentication, authorisation, and multi-tenant isolation (e.g. workspace boundaries)
|
||||
- Tool execution, sandbox escape, and code execution paths
|
||||
- SSRF, injection, and unsafe deserialisation in shipped code
|
||||
- MCP, gateway, and bot/webhook integrations
|
||||
- Secrets handling, JWT/session configuration, and default credentials
|
||||
- Supply-chain issues in published package artefacts
|
||||
|
||||
## Out of scope
|
||||
|
||||
- Issues in forks or deployments not maintained in [MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI)
|
||||
- Vulnerabilities requiring physical access or fully compromised operator machines
|
||||
- Reports against versions no longer published or without a supported upgrade path
|
||||
- Theoretical issues with no practical impact in documented, supported configurations
|
||||
- Behaviour covered by an explicit, documented opt-out (e.g. dev-only env vars)
|
||||
|
||||
## How to report
|
||||
|
||||
**Preferred:** open a **private** security advisory:
|
||||
|
||||
[https://github.com/MervinPraison/PraisonAI/security/advisories/new](https://github.com/MervinPraison/PraisonAI/security/advisories/new)
|
||||
|
||||
Include:
|
||||
|
||||
1. Affected package and version
|
||||
2. Clear reproduction steps
|
||||
3. Impact assessment (confidentiality, integrity, availability)
|
||||
4. Suggested fix (optional)
|
||||
|
||||
Please allow reasonable time for triage and a patched release before public disclosure.
|
||||
|
||||
## What to expect
|
||||
|
||||
1. **Triage** — we validate the report and assign a disposition (`real`, `duplicate`, `wontfix`, etc.)
|
||||
2. **Fix** — minimal, backward-compatible patch on `main` where appropriate
|
||||
3. **Release** — patched version published to PyPI/npm **before** the advisory is published
|
||||
4. **Advisory** — GitHub Security Advisory with reporter credit and CVE where applicable
|
||||
|
||||
## Resources
|
||||
|
||||
- **Repository:** https://github.com/MervinPraison/PraisonAI
|
||||
- **Documentation:** https://docs.praison.ai
|
||||
- **Website:** https://praison.ai
|
||||
- **Advisories:** https://github.com/MervinPraison/PraisonAI/security/advisories
|
||||
|
||||
## Maintainer workflow
|
||||
|
||||
Contributors and agents handling audits should follow:
|
||||
|
||||
`src/praisonai-agents/.agent/workflows/security-audit.md`
|
||||
@@ -18,7 +18,6 @@ Methods:
|
||||
* <code title="class HandoffResult">HandoffResult.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">from_outcome</a>(outcome: AgentRunOutcome, target_agent: Optional[str] = None, source_agent: Optional[str] = None, handoff_depth: int = 0) -> 'HandoffResult'</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">json</a>() -> Optional[str]</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class ToolResult">ToolResult.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">is_multimodal</a>() -> bool</code>
|
||||
* <code title="class ToolResult">ToolResult.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
|
||||
# Agents
|
||||
@@ -31,7 +30,6 @@ from praisonaiagents import Agent, AutoAgents, AutoRagAgent, ContextAgent, DeepR
|
||||
Methods:
|
||||
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">aclose</a>() -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">add_mcp_server</a>(name: str, mcp: Any) -> Any</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">agent_id</a>() -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">analyze_prompt</a>(prompt: str) -> set</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>() -> Optional[bool]</code>
|
||||
@@ -61,9 +59,6 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">handoff_to</a>(target_agent: 'Agent', prompt: str, context: Optional[Dict[str, Any]] = None, config: Optional['HandoffConfig'] = None) -> 'HandoffResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">handoff_to_async</a>(target_agent: 'Agent', prompt: str, context: Optional[Dict[str, Any]] = None, config: Optional['HandoffConfig'] = None) -> 'HandoffResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">is_closed</a>() -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">list_mcp_servers</a>() -> List[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_instance</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_instance</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_model</a>() -> Optional[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>() -> Optional[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>(value: Optional[str]) -> None</code>
|
||||
@@ -73,8 +68,6 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rag</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rag_query</a>(question: str, **kwargs) -> 'RAGResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">redo</a>() -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">refresh_tools</a>() -> List[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">remove_mcp_server</a>(name: str) -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">retrieval_config</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">retrieve</a>(query: str, **kwargs) -> 'ContextPack'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rules_manager</a>() -> Optional[Any]</code>
|
||||
@@ -247,7 +240,6 @@ from praisonaiagents import Memory, MemoryBackend, MemoryConfig
|
||||
|
||||
Methods:
|
||||
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">build_cache_optimized_context</a>(task_descr: str, user_id: Optional[str] = None, additional: str = '', max_items: int = 3, include_cache_boundary: bool = True, include_in_output: Optional[bool] = None) -> Dict[str, str]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">build_context_for_task</a>(task_descr: str, user_id: Optional[str] = None, additional: str = '', max_items: int = 3, include_in_output: Optional[bool] = None) -> str</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">calculate_quality_metrics</a>(output: str, expected_output: str, llm: Optional[str] = None, custom_prompt: Optional[str] = None) -> Dict[str, float]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">close_connections</a>()</code>
|
||||
@@ -483,51 +475,29 @@ Methods:
|
||||
* <code title="class SkillLoader">SkillLoader.<a href="./src/praisonai-agents/praisonaiagents/skills/loader.py">load_scripts</a>(skill: LoadedSkill) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate</a>(skill: LoadedSkill) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate_by_name</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_bundle</a>(manifest: 'BundleManifest') -> None</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_skill</a>(skill_path: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_skill_by_name</a>(name: str, skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">approve</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">archive_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">bundle_names</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">bundles</a>() -> List['BundleManifest']</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">clear</a>() -> None</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create</a>(name: str, content: str, category: Optional[str] = None, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create_skill</a>(name: str, content: str, category: str = None, agent_created: bool = True, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete</a>(name: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete_skill</a>(name: str, hard: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create_skill</a>(name: str, content: str, category: str = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">discover</a>(skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> int</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">discover_bundles</a>(skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> int</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit_skill</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit_skill</a>(name: str, content: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_allowed_tools</a>(name: str) -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills</a>() -> List[SkillMetadata]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills_by_state</a>(state: SkillState) -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_bundle</a>(name: str) -> Optional['BundleManifest']</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_bundle_instructions</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_instructions</a>(name: str) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skill</a>(name: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skills_diagnostics</a>() -> Dict[str, ValidationResult]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_user_invocable_skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">invoke</a>(name: str, raw_args: str = '', session_id: Optional[str] = None, shell_exec: bool = False) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_archived_skills</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_pending</a>() -> List[dict]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">load_resources</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch</a>(name: str, old_string: str, new_string: str, file_path: Optional[str] = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch_skill</a>(name: str, old_string: str, new_string: str, file_path: str = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">reject</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_skill_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">resolve</a>(selectors: List[str]) -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">restore_skill</a>(name: str, skill_dir: Optional[str] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">rollback_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch_skill</a>(name: str, old_string: str, new_string: str, file_path: str = None, replace_all: bool = False) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_skill_file</a>(name: str, file_path: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skill_names</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">to_prompt</a>() -> str</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">validate_skill_capabilities</a>(skill_name: str, force_refresh: bool = False) -> ValidationResult</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_skill_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_skill_file</a>(name: str, file_path: str, file_content: str) -> dict</code>
|
||||
* <code title="class SkillMetadata">SkillMetadata.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">from_properties</a>(props: SkillProperties) -> 'SkillMetadata'</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">idle_days</a>() -> Optional[float]</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class SkillsConfig">SkillsConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
|
||||
@@ -545,12 +515,10 @@ Methods:
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">add_memory</a>(text: str, memory_type: str = 'long', **metadata) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">chat</a>(message: str, **kwargs) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">clear_memory</a>(memory_type: str = 'all') -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">close</a>() -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">create_agent</a>(*args, **kwargs) -> 'Agent'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">get_context</a>(query: str, max_items: int = 3) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">get_state</a>(key: str, default: Any = None) -> Any</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">increment_state</a>(key: str, increment: int = 1, default: int = 0) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">is_expired</a>() -> bool</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">knowledge</a>() -> 'Knowledge'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">memory</a>() -> 'Memory'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">restore_state</a>() -> Dict[str, Any]</code>
|
||||
@@ -559,7 +527,6 @@ Methods:
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">search_memory</a>(query: str, memory_type: str = 'long', limit: int = 5) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">send_message</a>(message: str, **kwargs) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">set_state</a>(key: str, value: Any) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">time_to_expiry</a>() -> Optional[float]</code>
|
||||
|
||||
# MCP
|
||||
|
||||
@@ -642,7 +609,7 @@ Methods:
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">register_snapshot_callback</a>(callback: Callable[[SnapshotHookData], None]) -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">reset</a>() -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">set_tool_budget</a>(tool_name: str, max_tokens: int, protected: bool = False) -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">truncate_tool_output</a>(tool_name: str, output: str, tool_call_id: str = None, run_id: str = None) -> str</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">truncate_tool_output</a>(tool_name: str, output: str) -> str</code>
|
||||
|
||||
# UI
|
||||
|
||||
@@ -731,7 +698,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, RetryBackoffConfig, __version__, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -813,7 +780,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, CloudProvider, DB, Deploy, DeployConfig, DeployType, HostedAgent, HostedAgentConfig, LocalAgent, LocalAgentConfig, LocalManagedAgent, LocalManagedConfig, ManagedAgent, ManagedConfig, __version__, arun, run
|
||||
from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, CloudProvider, DB, Deploy, DeployConfig, DeployType, HostedAgent, HostedAgentConfig, LocalAgent, LocalAgentConfig, LocalManagedAgent, LocalManagedConfig, ManagedAgent, ManagedConfig, PraisonAI, __version__, arun, run, run_integrated_gateway
|
||||
```
|
||||
|
||||
# CLI
|
||||
@@ -821,14 +788,64 @@ from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, CloudProv
|
||||
Methods:
|
||||
|
||||
* <code title="cli">praisonai <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai acp acp-main <a href="./src/praisonai/praisonai/cli/commands/acp.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents create <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents info <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents list <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai app app <a href="./src/praisonai/praisonai/cli/commands/app.py">--help</a></code>
|
||||
* <code title="cli">praisonai audit agent-centric <a href="./src/praisonai/praisonai/cli/commands/audit.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch batch-run <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch list <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch report <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch stats <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark agent <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark benchmark-callback <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark cli <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark compare <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark litellm <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark profile <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark sdk <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai benchmark workflow <a href="./src/praisonai/praisonai/cli/commands/benchmark.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot agentmail <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot bot-callback <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot discord <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot email <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot install-daemon <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot linear <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot list <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot purge <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot replay <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot slack <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot start <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot telegram <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot whatsapp <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser browser-callback <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser click <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser navigate <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser open <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser profiles <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser screenshot <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser snapshot <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser status <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai browser type <a href="./src/praisonai/praisonai/cli/commands/browser.py">--help</a></code>
|
||||
* <code title="cli">praisonai call call-main <a href="./src/praisonai/praisonai/cli/commands/call.py">--help</a></code>
|
||||
* <code title="cli">praisonai chat <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai chat chat-main <a href="./src/praisonai/praisonai/cli/commands/chat.py">--help</a></code>
|
||||
* <code title="cli">praisonai claw claw <a href="./src/praisonai/praisonai/cli/commands/claw.py">--help</a></code>
|
||||
* <code title="cli">praisonai code <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai code code-main <a href="./src/praisonai/praisonai/cli/commands/code.py">--help</a></code>
|
||||
* <code title="cli">praisonai commit commit-main <a href="./src/praisonai/praisonai/cli/commands/commit.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion bash <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion completion-callback <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion fish <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion zsh <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai config doctor <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config env <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config get <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config list <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config path <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config reset <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config set <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai context add <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context clear <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context compact <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
@@ -839,6 +856,17 @@ Methods:
|
||||
* <code title="cli">praisonai context stats <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context tail <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai dashboard unified <a href="./src/praisonai/praisonai/cli/commands/dashboard.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug acp <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug debug-callback <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug interactive <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug lsp <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug trace <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai deploy aws <a href="./src/praisonai/praisonai/cli/commands/deploy.py">--help</a></code>
|
||||
* <code title="cli">praisonai deploy azure <a href="./src/praisonai/praisonai/cli/commands/deploy.py">--help</a></code>
|
||||
* <code title="cli">praisonai deploy docker <a href="./src/praisonai/praisonai/cli/commands/deploy.py">--help</a></code>
|
||||
* <code title="cli">praisonai deploy gcp <a href="./src/praisonai/praisonai/cli/commands/deploy.py">--help</a></code>
|
||||
* <code title="cli">praisonai diag diag-callback <a href="./src/praisonai/praisonai/cli/commands/diag.py">--help</a></code>
|
||||
* <code title="cli">praisonai diag export <a href="./src/praisonai/praisonai/cli/commands/diag.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs api-md <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs generate <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs list <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
@@ -847,6 +875,28 @@ Methods:
|
||||
* <code title="cli">praisonai docs run-all <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs serve <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs stats <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor cleanup <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor config <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor db <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor doctor-callback <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor env <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor mcp <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor network <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor packaging <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor performance <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor selftest <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor skills <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor tools <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor troubleshoot <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai endpoints list <a href="./src/praisonai/praisonai/cli/commands/endpoints.py">--help</a></code>
|
||||
* <code title="cli">praisonai endpoints test <a href="./src/praisonai/praisonai/cli/commands/endpoints.py">--help</a></code>
|
||||
* <code title="cli">praisonai environment check <a href="./src/praisonai/praisonai/cli/commands/environment.py">--help</a></code>
|
||||
* <code title="cli">praisonai environment doctor <a href="./src/praisonai/praisonai/cli/commands/environment.py">--help</a></code>
|
||||
* <code title="cli">praisonai environment view <a href="./src/praisonai/praisonai/cli/commands/environment.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval accuracy <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval judge <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval list-judges <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval performance <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples find <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples info <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples list <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
@@ -859,6 +909,32 @@ Methods:
|
||||
* <code title="cli">praisonai flow import <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow list <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow version <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway channels <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway gateway-callback <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway install <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway logs <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway mint-link <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway send <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway start <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway status <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway stop <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway uninstall <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai github triage <a href="./src/praisonai/praisonai/cli/commands/github.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks add <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks list <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks remove <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban block <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban boards <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban comment <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban complete <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban create <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban dispatch <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban link <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban list <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban move <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban reclaim <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban show <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban unblock <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge add <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge index <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge list <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
@@ -876,6 +952,13 @@ Methods:
|
||||
* <code title="cli">praisonai langfuse test <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse traces <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse version <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai loop help <a href="./src/praisonai/praisonai/cli/commands/loop.py">--help</a></code>
|
||||
* <code title="cli">praisonai loop loop-main <a href="./src/praisonai/praisonai/cli/commands/loop.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp logs <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp lsp-callback <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp start <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp status <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp stop <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed delete <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed get <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed list <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
@@ -899,6 +982,11 @@ Methods:
|
||||
* <code title="cli">praisonai mcp sync <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
* <code title="cli">praisonai mcp test <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
* <code title="cli">praisonai mcp tools <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory add <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory clear <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory search <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory show <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory status <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n export <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n import <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n list <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
@@ -906,6 +994,30 @@ Methods:
|
||||
* <code title="cli">praisonai n8n pull <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n push <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n test <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai obs obs-fallback <a href="./src/praisonai/praisonai/cli/commands/obs.py">--help</a></code>
|
||||
* <code title="cli">praisonai onboard onboard-callback <a href="./src/praisonai/praisonai/cli/commands/onboard.py">--help</a></code>
|
||||
* <code title="cli">praisonai package install <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai package list <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai package uninstall <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing approve <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing clear <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing list <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing revoke <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai paths show <a href="./src/praisonai/praisonai/cli/commands/paths.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins create <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins disable <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins discover <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins doctor <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins enable <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins info <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins install <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins list <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins plugins-callback <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins remove <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai port check <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port kill <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port list <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port port-callback <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile imports <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile optimize <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile profile-callback <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
@@ -913,6 +1025,8 @@ Methods:
|
||||
* <code title="cli">praisonai profile snapshot <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile startup <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile suite <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai publish publish-main <a href="./src/praisonai/praisonai/cli/commands/publish.py">--help</a></code>
|
||||
* <code title="cli">praisonai publish pypi <a href="./src/praisonai/praisonai/cli/commands/publish.py">--help</a></code>
|
||||
* <code title="cli">praisonai rag chat <a href="./src/praisonai/praisonai/cli/commands/rag.py">--help</a></code>
|
||||
* <code title="cli">praisonai rag eval <a href="./src/praisonai/praisonai/cli/commands/rag.py">--help</a></code>
|
||||
* <code title="cli">praisonai rag index <a href="./src/praisonai/praisonai/cli/commands/rag.py">--help</a></code>
|
||||
@@ -928,6 +1042,8 @@ Methods:
|
||||
* <code title="cli">praisonai recipe optimize <a href="./src/praisonai/praisonai/cli/commands/recipe.py">--help</a></code>
|
||||
* <code title="cli">praisonai recipe run <a href="./src/praisonai/praisonai/cli/commands/recipe.py">--help</a></code>
|
||||
* <code title="cli">praisonai recipe serve <a href="./src/praisonai/praisonai/cli/commands/recipe.py">--help</a></code>
|
||||
* <code title="cli">praisonai registry list <a href="./src/praisonai/praisonai/cli/commands/registry.py">--help</a></code>
|
||||
* <code title="cli">praisonai registry serve <a href="./src/praisonai/praisonai/cli/commands/registry.py">--help</a></code>
|
||||
* <code title="cli">praisonai replay cleanup <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
* <code title="cli">praisonai replay context <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
* <code title="cli">praisonai replay dashboard <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
@@ -935,10 +1051,21 @@ Methods:
|
||||
* <code title="cli">praisonai replay flow <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
* <code title="cli">praisonai replay list <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
* <code title="cli">praisonai replay show <a href="./src/praisonai/praisonai/cli/commands/replay.py">--help</a></code>
|
||||
* <code title="cli">praisonai research research-main <a href="./src/praisonai/praisonai/cli/commands/research.py">--help</a></code>
|
||||
* <code title="cli">praisonai retrieval index <a href="./src/praisonai/praisonai/cli/commands/retrieval.py">--help</a></code>
|
||||
* <code title="cli">praisonai retrieval query <a href="./src/praisonai/praisonai/cli/commands/retrieval.py">--help</a></code>
|
||||
* <code title="cli">praisonai retrieval search <a href="./src/praisonai/praisonai/cli/commands/retrieval.py">--help</a></code>
|
||||
* <code title="cli">praisonai rules add <a href="./src/praisonai/praisonai/cli/commands/rules.py">--help</a></code>
|
||||
* <code title="cli">praisonai rules clear <a href="./src/praisonai/praisonai/cli/commands/rules.py">--help</a></code>
|
||||
* <code title="cli">praisonai rules list <a href="./src/praisonai/praisonai/cli/commands/rules.py">--help</a></code>
|
||||
* <code title="cli">praisonai run <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai run run-main <a href="./src/praisonai/praisonai/cli/commands/run.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox explain <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox list <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox recreate <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox sandbox-callback <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox status <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule add <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule blueprint <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule blueprint-list <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule delete <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule describe <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule list <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
@@ -948,23 +1075,87 @@ Methods:
|
||||
* <code title="cli">praisonai schedule start <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule stats <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule stop <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-accept <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-dismiss <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-propose <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestions <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve a2a <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve a2u <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve acp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve agents <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve docs <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve gateway <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve lsp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve mcp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve rag <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve recipe <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve registry <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve scheduler <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve serve-callback <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve start <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve status <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve stop <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve ui <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve ui-gateway <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve unified <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai session delete <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session export <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session import <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session list <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session resume <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session show <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup config <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup reset <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup setup-callback <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup wizard <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills check <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills create <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills eligible <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills info <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills install <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills list <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills search <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills validate <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise check <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise fix <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise init <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai standardise report <a href="./src/praisonai/praisonai/cli/commands/standardise.py">--help</a></code>
|
||||
* <code title="cli">praisonai templates create <a href="./src/praisonai/praisonai/cli/commands/templates.py">--help</a></code>
|
||||
* <code title="cli">praisonai templates list <a href="./src/praisonai/praisonai/cli/commands/templates.py">--help</a></code>
|
||||
* <code title="cli">praisonai test info <a href="./src/praisonai/praisonai/cli/commands/test.py">--help</a></code>
|
||||
* <code title="cli">praisonai test interactive <a href="./src/praisonai/praisonai/cli/commands/test.py">--help</a></code>
|
||||
* <code title="cli">praisonai test run <a href="./src/praisonai/praisonai/cli/commands/test.py">--help</a></code>
|
||||
* <code title="cli">praisonai todo add <a href="./src/praisonai/praisonai/cli/commands/todo.py">--help</a></code>
|
||||
* <code title="cli">praisonai todo done <a href="./src/praisonai/praisonai/cli/commands/todo.py">--help</a></code>
|
||||
* <code title="cli">praisonai todo list <a href="./src/praisonai/praisonai/cli/commands/todo.py">--help</a></code>
|
||||
* <code title="cli">praisonai tools info <a href="./src/praisonai/praisonai/cli/commands/tools.py">--help</a></code>
|
||||
* <code title="cli">praisonai tools list <a href="./src/praisonai/praisonai/cli/commands/tools.py">--help</a></code>
|
||||
* <code title="cli">praisonai tools test <a href="./src/praisonai/praisonai/cli/commands/tools.py">--help</a></code>
|
||||
* <code title="cli">praisonai tools validate <a href="./src/praisonai/praisonai/cli/commands/tools.py">--help</a></code>
|
||||
* <code title="cli">praisonai traces disable <a href="./src/praisonai/praisonai/cli/commands/traces.py">--help</a></code>
|
||||
* <code title="cli">praisonai traces enable <a href="./src/praisonai/praisonai/cli/commands/traces.py">--help</a></code>
|
||||
* <code title="cli">praisonai traces list <a href="./src/praisonai/praisonai/cli/commands/traces.py">--help</a></code>
|
||||
* <code title="cli">praisonai traces status <a href="./src/praisonai/praisonai/cli/commands/traces.py">--help</a></code>
|
||||
* <code title="cli">praisonai tracker batch <a href="./src/praisonai/praisonai/cli/commands/tracker.py">--help</a></code>
|
||||
* <code title="cli">praisonai tracker judge <a href="./src/praisonai/praisonai/cli/commands/tracker.py">--help</a></code>
|
||||
* <code title="cli">praisonai tracker run <a href="./src/praisonai/praisonai/cli/commands/tracker.py">--help</a></code>
|
||||
* <code title="cli">praisonai tracker tools <a href="./src/praisonai/praisonai/cli/commands/tracker.py">--help</a></code>
|
||||
* <code title="cli">praisonai tracker tracker-main <a href="./src/praisonai/praisonai/cli/commands/tracker.py">--help</a></code>
|
||||
* <code title="cli">praisonai train agents <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train apply <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train list <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train llm <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train show <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train train-callback <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate check <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate schema <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate validate <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui agents <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui bot <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui realtime <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui ui <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai up logs <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai up status <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai up up-start <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai version check <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
* <code title="cli">praisonai version show <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
* <code title="cli">praisonai version version-callback <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
* <code title="cli">praisonai workflow create <a href="./src/praisonai/praisonai/cli/commands/workflow.py">--help</a></code>
|
||||
* <code title="cli">praisonai workflow list <a href="./src/praisonai/praisonai/cli/commands/workflow.py">--help</a></code>
|
||||
* <code title="cli">praisonai workflow run <a href="./src/praisonai/praisonai/cli/commands/workflow.py">--help</a></code>
|
||||
|
||||
# TypeScript
|
||||
|
||||
@@ -1110,8 +1301,8 @@ export { // Python parity additions
|
||||
MinimalTelemetry, AgentTelemetry, PerformanceMonitor, TelemetryCollector, TelemetryIntegration, cleanupTelemetry, cleanupTelemetryResources, createAgentTelemetry, createConsoleSink, createHTTPSink, createPerformanceMonitor, createTelemetryIntegration, disablePerformanceMode, disableTelemetry, enablePerformanceMode, enableTelemetry, getMinimalTelemetry, getTelemetry } from "./telemetry";
|
||||
export { // Subagent Tool (agent-as-tool pattern)
|
||||
SubagentTool, BaseTool, FunctionTool, ToolRegistry, ToolResult, ToolValidationError, createDelegator, createSubagentTool, createSubagentTools, createTool, getRegistry, getTool, registerTool, tool, validateTool } from "./tools";
|
||||
export { airweaveSearch, bedrockBrowserClick, bedrockBrowserFill, bedrockBrowserNavigate, bedrockCodeInterpreter, codeExecution, codeMode, createCustomTool, crwCrawl, crwScrape, exaSearch, firecrawlCrawl, firecrawlScrape, parallelSearch, perplexitySearch, registerCustomTool, registerLocalTool, registerNpmTool, superagentGuard, superagentRedact, superagentVerify, tavilyCrawl, tavilyExtract, tavilySearch, valyuBioSearch, valyuCompanyResearch, valyuEconomicsSearch, valyuFinanceSearch, valyuPaperSearch, valyuPatentSearch, valyuSecSearch, valyuWebSearch } from "./tools/builtins";
|
||||
export { BudgetExceededError, MissingDependencyError, MissingEnvVarError, ToolsRegistry, composeMiddleware, createLoggingMiddleware, createRateLimitMiddleware, createRedactionMiddleware, createRetryMiddleware, createTimeoutMiddleware, createToolsRegistry, createTracingMiddleware, createValidationMiddleware, getToolsRegistry, get_registry, get_tool, register_tool, resetToolsRegistry, validate_tool } from "./tools/registry";
|
||||
export { airweaveSearch, bedrockBrowserClick, bedrockBrowserFill, bedrockBrowserNavigate, bedrockCodeInterpreter, codeExecution, codeMode, createCustomTool, exaSearch, firecrawlCrawl, firecrawlScrape, parallelSearch, perplexitySearch, registerCustomTool, registerLocalTool, registerNpmTool, superagentGuard, superagentRedact, superagentVerify, tavilyCrawl, tavilyExtract, tavilySearch, valyuBioSearch, valyuCompanyResearch, valyuEconomicsSearch, valyuFinanceSearch, valyuPaperSearch, valyuPatentSearch, valyuSecSearch, valyuWebSearch } from "./tools/builtins";
|
||||
export { BudgetExceededError, MissingDependencyError, MissingEnvVarError, ToolsRegistry, composeMiddleware, createLoggingMiddleware, createRateLimitMiddleware, createRedactionMiddleware, createRetryMiddleware, createTimeoutMiddleware, createToolsRegistry, createTracingMiddleware, createValidationMiddleware, getRegistry, getTool, getToolsRegistry, get_registry, get_tool, registerTool, register_tool, resetToolsRegistry, validateTool, validate_tool } from "./tools/registry";
|
||||
export type { InstallHints, PraisonTool, RedactionHooks, RegisteredTool, ToolCapabilities, ToolExecutionContext, ToolExecutionResult, ToolFactory, ToolHooks, ToolInstallStatus, ToolLimits, ToolLogger, ToolMetadata, ToolMiddleware, ToolParameterProperty, ToolParameterSchema } from "./tools/registry";
|
||||
export { registerBuiltinTools, tools } from "./tools/tools";
|
||||
export { // Classes
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.129" \
|
||||
"praisonai>=4.6.55" \
|
||||
"praisonai[chat]" \
|
||||
"embedchain[github,youtube]"
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.129" \
|
||||
"praisonai>=4.6.55" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[chat]" \
|
||||
"praisonai[realtime]" \
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.129" \
|
||||
"praisonai>=4.6.55" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[crewai]"
|
||||
|
||||
|
||||
@@ -16,11 +16,13 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
|
||||
# Create praison config directory
|
||||
RUN mkdir -p /root/.praison
|
||||
|
||||
# Install praisonai-bot with channel dependencies (slim bot image)
|
||||
# Install praisonai with bot dependencies
|
||||
RUN pip install --no-cache-dir \
|
||||
"praisonai-bot[bot]" \
|
||||
praisonai \
|
||||
slack-bolt \
|
||||
slack-sdk
|
||||
slack-sdk \
|
||||
"discord.py>=2.0.0" \
|
||||
"python-telegram-bot>=20.0"
|
||||
|
||||
# Set environment variables for directory management
|
||||
ENV PRAISON_CONFIG_DIR=/root/.praison
|
||||
@@ -37,4 +39,4 @@ ENV DOCKER_CONTAINER=true
|
||||
# For webhook mode, expose port 3000
|
||||
|
||||
# Default command - tokens from environment
|
||||
CMD ["praisonai-bot", "bot", "slack"]
|
||||
CMD ["praisonai", "bot", "slack"]
|
||||
@@ -17,7 +17,7 @@ services:
|
||||
SLACK_BOT_TOKEN: ${SLACK_BOT_TOKEN}
|
||||
SLACK_APP_TOKEN: ${SLACK_APP_TOKEN}
|
||||
PRAISON_CONFIG_DIR: /root/.praison
|
||||
command: [ "praisonai-bot", "bot", "slack" ]
|
||||
command: [ "praisonai", "bot", "slack" ]
|
||||
restart: unless-stopped
|
||||
|
||||
# Discord Bot
|
||||
@@ -31,7 +31,7 @@ services:
|
||||
OPENAI_API_KEY: ${OPENAI_API_KEY}
|
||||
DISCORD_BOT_TOKEN: ${DISCORD_BOT_TOKEN}
|
||||
PRAISON_CONFIG_DIR: /root/.praison
|
||||
command: [ "praisonai-bot", "bot", "discord" ]
|
||||
command: [ "praisonai", "bot", "discord" ]
|
||||
restart: unless-stopped
|
||||
|
||||
# Telegram Bot
|
||||
@@ -45,7 +45,7 @@ services:
|
||||
OPENAI_API_KEY: ${OPENAI_API_KEY}
|
||||
TELEGRAM_BOT_TOKEN: ${TELEGRAM_BOT_TOKEN}
|
||||
PRAISON_CONFIG_DIR: /root/.praison
|
||||
command: [ "praisonai-bot", "bot", "telegram" ]
|
||||
command: [ "praisonai", "bot", "telegram" ]
|
||||
restart: unless-stopped
|
||||
|
||||
volumes:
|
||||
|
||||
@@ -5,9 +5,9 @@ Demonstrates web search with consolidated params.
|
||||
Presets: duckduckgo, tavily, google, bing, serper, search_only, fetch_only
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, WebConfig
|
||||
from praisonaiagents import Agent
|
||||
|
||||
# Basic: Enable web search with preset (search only — fetch needs Claude)
|
||||
# Basic: Enable web search with preset
|
||||
agent = Agent(
|
||||
instructions="You are a research assistant with web access.",
|
||||
web="search_only", # Compatible across models without web_fetch
|
||||
|
||||
@@ -1,216 +0,0 @@
|
||||
# Industry Templates for PraisonAI
|
||||
|
||||
This directory contains industry-specific agent templates based on the SRAO Framework, providing pre-built workflows for rapid deployment of agent workforces across different industries.
|
||||
|
||||
## Overview
|
||||
|
||||
These templates demonstrate how PraisonAI can be used to create specialized agent teams for various industries, with **70% code reuse** across different sectors through shared patterns and abstractions.
|
||||
|
||||
## Available Templates
|
||||
|
||||
### 1. Manufacturing (`manufacturing_template.py`)
|
||||
**Key Agents:**
|
||||
- **ParseOrder**: Extracts and structures order information from various formats
|
||||
- **CheckInventory**: Validates material availability and supply chain status
|
||||
- **OptimizeSchedule**: Optimizes production scheduling based on constraints
|
||||
- **DefectDetect**: Quality control and defect detection
|
||||
|
||||
**Features:**
|
||||
- Order processing with multiple input formats
|
||||
- Real-time inventory management
|
||||
- Production optimization algorithms
|
||||
- Quality inspection with defect detection
|
||||
- Fallback strategies for each critical step
|
||||
|
||||
### 2. Energy (`energy_template.py`)
|
||||
**Key Agents:**
|
||||
- **SCADAReader**: Processes SCADA telemetry data from wind turbines
|
||||
- **VibrationAnalyzer**: Analyzes vibration patterns for predictive maintenance
|
||||
- **PowerForecaster**: Predicts power generation based on weather and history
|
||||
- **MaintenanceScheduler**: Schedules predictive maintenance
|
||||
|
||||
**Features:**
|
||||
- Real-time wind farm monitoring
|
||||
- Vibration-based fault detection
|
||||
- Power generation forecasting
|
||||
- Grid integration and load balancing
|
||||
- Predictive maintenance scheduling
|
||||
|
||||
### 3. Healthcare (`healthcare_template.py`)
|
||||
**Key Agents:**
|
||||
- **VitalSignsCapture**: Processes patient vital signs from monitoring devices
|
||||
- **EMRRetrieval**: Retrieves electronic medical records with HIPAA compliance
|
||||
- **TriageRecommendation**: Provides ESI-based triage recommendations
|
||||
- **ResourceAllocator**: Manages hospital resource allocation
|
||||
|
||||
**Features:**
|
||||
- Emergency triage workflow
|
||||
- HIPAA-compliant data handling
|
||||
- Patient safety protocols
|
||||
- Resource optimization
|
||||
- Cross-department coordination
|
||||
|
||||
### 4. Agriculture (`agriculture_template.py`)
|
||||
**Key Agents:**
|
||||
- **MultispectralAnalyzer**: Analyzes multispectral imagery for crop health
|
||||
- **DiseaseIdentifier**: Identifies crop diseases and pests using AI
|
||||
- **SprayRecommender**: Recommends targeted spraying strategies
|
||||
- **YieldPredictor**: Predicts crop yield based on conditions
|
||||
|
||||
**Features:**
|
||||
- Precision agriculture with drone/satellite imagery
|
||||
- Pest and disease early warning system
|
||||
- Optimized chemical application
|
||||
- Yield forecasting
|
||||
- Sustainable farming patterns
|
||||
|
||||
### 5. Transportation (`transportation_template.py`)
|
||||
**Key Agents:**
|
||||
- **LiDARFusion**: Processes LiDAR point cloud data for infrastructure
|
||||
- **DisplacementCalculator**: Calculates structural displacement
|
||||
- **HeatmapGenerator**: Generates safety visualization heatmaps
|
||||
- **MaintenancePlanner**: Plans infrastructure maintenance
|
||||
|
||||
**Features:**
|
||||
- Tunnel/bridge safety monitoring
|
||||
- LiDAR-based structural analysis
|
||||
- Real-time safety assessment
|
||||
- Traffic flow optimization
|
||||
- Predictive maintenance scheduling
|
||||
|
||||
## Key Features Across All Templates
|
||||
|
||||
### 1. I/O Schemas
|
||||
Each template includes Pydantic models for structured data handling:
|
||||
- Input validation
|
||||
- Type safety
|
||||
- Clear data contracts between agents
|
||||
|
||||
### 2. SLA Requirements
|
||||
Every agent has defined Service Level Agreements:
|
||||
- Processing time requirements
|
||||
- Response time guarantees
|
||||
- Performance benchmarks
|
||||
|
||||
### 3. Fallback Strategies
|
||||
Robust error handling with fallback mechanisms:
|
||||
- Graceful degradation
|
||||
- Manual intervention queues
|
||||
- Conservative estimates when systems fail
|
||||
|
||||
### 4. Cross-Industry Patterns (70% Reuse)
|
||||
Reusable base patterns that work across industries:
|
||||
- Data parsing agents
|
||||
- Resource availability checkers
|
||||
- Optimization engines
|
||||
- Inspection/quality control agents
|
||||
|
||||
## Usage Example
|
||||
|
||||
```python
|
||||
from manufacturing_template import (
|
||||
order_parser,
|
||||
inventory_checker,
|
||||
schedule_optimizer,
|
||||
quality_inspector,
|
||||
manufacturing_workflow
|
||||
)
|
||||
|
||||
# Process a manufacturing order
|
||||
order_text = "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
|
||||
result = manufacturing_workflow(order_text)
|
||||
print(result)
|
||||
```
|
||||
|
||||
## Adapting Templates for Your Industry
|
||||
|
||||
### Using Base Patterns
|
||||
Each template includes reusable pattern classes that can be adapted:
|
||||
|
||||
```python
|
||||
from manufacturing_template import IndustryAgentPattern
|
||||
|
||||
# Create a custom data parser for any domain
|
||||
custom_parser = IndustryAgentPattern.create_data_parser(
|
||||
name="CustomParser",
|
||||
domain="retail",
|
||||
sla_seconds=20
|
||||
)
|
||||
|
||||
# Create a resource checker for any resource type
|
||||
resource_checker = IndustryAgentPattern.create_resource_checker(
|
||||
name="StaffAvailability",
|
||||
resource_type="customer_service_staff",
|
||||
sla_seconds=3
|
||||
)
|
||||
```
|
||||
|
||||
### Creating Custom Workflows
|
||||
Combine agents from different templates or create new ones:
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, tool
|
||||
|
||||
# Define custom tools
|
||||
@tool
|
||||
def custom_analysis(data: str) -> Dict:
|
||||
"""Your custom analysis logic"""
|
||||
return {"result": "analyzed"}
|
||||
|
||||
# Create custom agent
|
||||
custom_agent = Agent(
|
||||
name="CustomAnalyzer",
|
||||
instructions="Your specific instructions",
|
||||
tools=[custom_analysis]
|
||||
)
|
||||
```
|
||||
|
||||
## Integration with PraisonAI Core
|
||||
|
||||
These templates are built on top of PraisonAI's core Agent framework:
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, tool, AgentTeam, Task
|
||||
|
||||
# Combine multiple industry agents into a team
|
||||
team = AgentTeam(
|
||||
agents=[order_parser, inventory_checker, schedule_optimizer],
|
||||
tasks=[
|
||||
Task(name="parse", agent=order_parser),
|
||||
Task(name="check", agent=inventory_checker),
|
||||
Task(name="optimize", agent=schedule_optimizer)
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Start with Templates**: Use these as starting points and customize for your specific needs
|
||||
2. **Maintain SLAs**: Define clear performance requirements for each agent
|
||||
3. **Implement Fallbacks**: Always have fallback strategies for critical operations
|
||||
4. **Use Type Safety**: Leverage Pydantic models for data validation
|
||||
5. **Monitor Performance**: Track agent performance against SLAs
|
||||
6. **Iterate and Improve**: Continuously refine based on real-world usage
|
||||
|
||||
## Contributing
|
||||
|
||||
To add a new industry template:
|
||||
|
||||
1. Follow the existing template structure
|
||||
2. Include all key components:
|
||||
- I/O Schemas (Pydantic models)
|
||||
- Agent definitions with SLAs
|
||||
- Tools for agent capabilities
|
||||
- Complete workflow function
|
||||
- Fallback strategies
|
||||
- Cross-industry patterns
|
||||
3. Add comprehensive documentation
|
||||
4. Include usage examples
|
||||
|
||||
## License
|
||||
|
||||
These templates are part of the PraisonAI project and follow the same licensing terms.
|
||||
|
||||
## References
|
||||
|
||||
Based on the [SRAO Framework](https://github.com/beixuan577/SRAO-Framework) (MIT License)
|
||||
@@ -1,38 +0,0 @@
|
||||
"""
|
||||
Industry Templates for PraisonAI
|
||||
================================
|
||||
|
||||
Pre-built agent templates for rapid deployment across different industries.
|
||||
Based on SRAO Framework with 70% cross-industry code reuse.
|
||||
|
||||
Available templates:
|
||||
- Manufacturing: Order processing, inventory, scheduling, quality control
|
||||
- Energy: Wind farm monitoring, predictive maintenance, power forecasting
|
||||
- Healthcare: Emergency triage, EMR retrieval, resource allocation
|
||||
- Agriculture: Precision farming, pest detection, yield prediction
|
||||
- Transportation: Infrastructure monitoring, safety assessment, maintenance
|
||||
|
||||
Example usage:
|
||||
from Industry_Templates.manufacturing_template import manufacturing_workflow
|
||||
|
||||
result = manufacturing_workflow("Customer order text")
|
||||
"""
|
||||
|
||||
__version__ = "1.0.0"
|
||||
__author__ = "PraisonAI Team"
|
||||
|
||||
# Import the modules so they're accessible via the package
|
||||
from . import manufacturing_template
|
||||
from . import energy_template
|
||||
from . import healthcare_template
|
||||
from . import agriculture_template
|
||||
from . import transportation_template
|
||||
|
||||
# Export commonly used items for convenience
|
||||
__all__ = [
|
||||
"manufacturing_template",
|
||||
"energy_template",
|
||||
"healthcare_template",
|
||||
"agriculture_template",
|
||||
"transportation_template"
|
||||
]
|
||||
@@ -1,551 +0,0 @@
|
||||
"""
|
||||
Agriculture Industry Template
|
||||
=============================
|
||||
Precision agriculture and pest management workflow
|
||||
Based on SRAO Framework with IoT sensor integration
|
||||
|
||||
Key agents:
|
||||
- MultispectralAnalyzer: Analyzes multispectral imagery
|
||||
- DiseaseIdentifier: Identifies crop diseases and pests
|
||||
- SprayRecommender: Recommends targeted spraying strategies
|
||||
- YieldPredictor: Predicts crop yield based on conditions
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Tuple, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
from enum import Enum
|
||||
|
||||
|
||||
# Crop health levels
|
||||
class CropHealthLevel(str, Enum):
|
||||
EXCELLENT = "excellent"
|
||||
GOOD = "good"
|
||||
FAIR = "fair"
|
||||
POOR = "poor"
|
||||
CRITICAL = "critical"
|
||||
|
||||
|
||||
# Pest/Disease severity
|
||||
class SeverityLevel(str, Enum):
|
||||
NONE = "none"
|
||||
LOW = "low"
|
||||
MODERATE = "moderate"
|
||||
HIGH = "high"
|
||||
SEVERE = "severe"
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class MultispectralData(BaseModel):
|
||||
"""Multispectral imagery analysis data"""
|
||||
field_id: str
|
||||
capture_time: str
|
||||
ndvi_index: float # Normalized Difference Vegetation Index
|
||||
ndre_index: float # Normalized Difference Red Edge
|
||||
ccci_index: float # Canopy Chlorophyll Content Index
|
||||
moisture_level: float # Soil moisture percentage
|
||||
temperature: float # Celsius
|
||||
affected_area: float # Hectares
|
||||
gps_coordinates: Tuple[float, float]
|
||||
|
||||
|
||||
class PestDiseaseReport(BaseModel):
|
||||
"""Pest and disease identification report"""
|
||||
report_id: str
|
||||
field_id: str
|
||||
detection_time: str
|
||||
pest_type: Optional[str]
|
||||
disease_type: Optional[str]
|
||||
severity: SeverityLevel
|
||||
affected_crops: List[str]
|
||||
spread_rate: float # % per day
|
||||
environmental_factors: Dict[str, Any]
|
||||
confidence_score: float
|
||||
|
||||
|
||||
class SprayRecommendation(BaseModel):
|
||||
"""Targeted spraying recommendation"""
|
||||
recommendation_id: str
|
||||
field_id: str
|
||||
treatment_type: str # pesticide, fungicide, herbicide, fertilizer
|
||||
product_name: str
|
||||
application_rate: float # L/hectare
|
||||
target_zones: List[Dict[str, Any]] # GPS zones
|
||||
optimal_time: str
|
||||
weather_window: Dict[str, Any]
|
||||
cost_estimate: float
|
||||
environmental_impact: str # low, medium, high
|
||||
|
||||
|
||||
class YieldForecast(BaseModel):
|
||||
"""Crop yield prediction"""
|
||||
forecast_id: str
|
||||
field_id: str
|
||||
crop_type: str
|
||||
predicted_yield: float # tons/hectare
|
||||
confidence_interval: Tuple[float, float]
|
||||
harvest_window: Tuple[str, str]
|
||||
quality_grade: str # A, B, C
|
||||
market_price_estimate: float
|
||||
risk_factors: List[str]
|
||||
|
||||
|
||||
# Agriculture-specific tools
|
||||
@tool
|
||||
def analyze_multispectral_imagery(field_id: str, image_data: Dict) -> Dict:
|
||||
"""Analyze multispectral drone/satellite imagery for crop health"""
|
||||
# Simulate multispectral analysis
|
||||
ndvi = 0.75 # Healthy vegetation typically 0.6-0.9
|
||||
|
||||
# Determine health based on NDVI
|
||||
if ndvi > 0.8:
|
||||
health = CropHealthLevel.EXCELLENT
|
||||
affected_area = 0.0
|
||||
elif ndvi > 0.6:
|
||||
health = CropHealthLevel.GOOD
|
||||
affected_area = 2.5
|
||||
elif ndvi > 0.4:
|
||||
health = CropHealthLevel.FAIR
|
||||
affected_area = 5.0
|
||||
else:
|
||||
health = CropHealthLevel.POOR
|
||||
affected_area = 10.0
|
||||
|
||||
return {
|
||||
"field_id": field_id,
|
||||
"capture_time": datetime.now().isoformat(),
|
||||
"ndvi_index": ndvi,
|
||||
"ndre_index": 0.68,
|
||||
"ccci_index": 0.72,
|
||||
"moisture_level": 35.0,
|
||||
"temperature": 24.5,
|
||||
"affected_area": affected_area,
|
||||
"gps_coordinates": (40.7128, -74.0060),
|
||||
"health_level": health.value
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def identify_pest_disease(spectral_data: Dict, historical_data: List) -> Dict:
|
||||
"""Identify pests and diseases using AI image recognition"""
|
||||
# Simulate pest/disease detection
|
||||
ndvi = spectral_data.get("ndvi_index", 0.75)
|
||||
affected_area = spectral_data.get("affected_area", 0)
|
||||
|
||||
if affected_area > 8.0:
|
||||
pest_type = "aphids"
|
||||
disease_type = "powdery_mildew"
|
||||
severity = SeverityLevel.HIGH
|
||||
spread_rate = 2.5
|
||||
elif affected_area > 4.0:
|
||||
pest_type = "whiteflies"
|
||||
disease_type = "leaf_spot"
|
||||
severity = SeverityLevel.MODERATE
|
||||
spread_rate = 1.5
|
||||
elif affected_area > 0:
|
||||
pest_type = None
|
||||
disease_type = "early_blight"
|
||||
severity = SeverityLevel.LOW
|
||||
spread_rate = 0.5
|
||||
else:
|
||||
pest_type = None
|
||||
disease_type = None
|
||||
severity = SeverityLevel.NONE
|
||||
spread_rate = 0.0
|
||||
|
||||
return {
|
||||
"report_id": f"PDR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": spectral_data["field_id"],
|
||||
"detection_time": datetime.now().isoformat(),
|
||||
"pest_type": pest_type,
|
||||
"disease_type": disease_type,
|
||||
"severity": severity.value,
|
||||
"affected_crops": ["wheat", "corn"],
|
||||
"spread_rate": spread_rate,
|
||||
"environmental_factors": {
|
||||
"humidity": 65,
|
||||
"temperature": spectral_data.get("temperature", 25),
|
||||
"rainfall_last_week": 15 # mm
|
||||
},
|
||||
"confidence_score": 0.85
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_spray_recommendation(pest_report: Dict, field_data: Dict, weather: Dict) -> Dict:
|
||||
"""Calculate optimal spraying strategy for pest/disease control"""
|
||||
severity = pest_report.get("severity", "none")
|
||||
|
||||
if severity == "high" or severity == "severe":
|
||||
treatment = "pesticide"
|
||||
product = "Imidacloprid"
|
||||
rate = 0.5
|
||||
impact = "medium"
|
||||
elif severity == "moderate":
|
||||
treatment = "fungicide"
|
||||
product = "Azoxystrobin"
|
||||
rate = 0.3
|
||||
impact = "low"
|
||||
elif severity == "low":
|
||||
treatment = "organic_treatment"
|
||||
product = "Neem Oil"
|
||||
rate = 0.2
|
||||
impact = "minimal"
|
||||
else:
|
||||
treatment = "fertilizer"
|
||||
product = "NPK 20-20-20"
|
||||
rate = 0.4
|
||||
impact = "positive"
|
||||
|
||||
# Calculate target zones based on affected area
|
||||
affected_area = field_data.get("affected_area", 0)
|
||||
if affected_area > 0:
|
||||
target_zones = [
|
||||
{
|
||||
"zone_id": "A1",
|
||||
"gps_boundary": [(40.71, -74.00), (40.72, -74.01)],
|
||||
"priority": "high"
|
||||
}
|
||||
]
|
||||
else:
|
||||
target_zones = []
|
||||
|
||||
return {
|
||||
"recommendation_id": f"SPR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": field_data["field_id"],
|
||||
"treatment_type": treatment,
|
||||
"product_name": product,
|
||||
"application_rate": rate,
|
||||
"affected_area": affected_area,
|
||||
"target_zones": target_zones,
|
||||
"optimal_time": (datetime.now() + timedelta(days=1)).isoformat(),
|
||||
"weather_window": {
|
||||
"wind_speed": weather.get("wind_speed", 5),
|
||||
"precipitation": weather.get("precipitation", 0),
|
||||
"suitable": True
|
||||
},
|
||||
"cost_estimate": rate * affected_area * 50, # $/hectare
|
||||
"environmental_impact": impact
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def predict_crop_yield(field_id: str, crop_type: str, current_health: Dict, weather_forecast: Dict) -> Dict:
|
||||
"""Predict crop yield based on current conditions and forecasts"""
|
||||
# Simulate yield prediction
|
||||
health_level = current_health.get("health_level", "good")
|
||||
|
||||
base_yield = {
|
||||
"wheat": 3.5,
|
||||
"corn": 9.5,
|
||||
"soybeans": 2.8,
|
||||
"rice": 6.0
|
||||
}.get(crop_type, 5.0)
|
||||
|
||||
# Adjust based on health
|
||||
health_multiplier = {
|
||||
"excellent": 1.2,
|
||||
"good": 1.0,
|
||||
"fair": 0.8,
|
||||
"poor": 0.6,
|
||||
"critical": 0.4
|
||||
}.get(health_level, 1.0)
|
||||
|
||||
predicted_yield = base_yield * health_multiplier
|
||||
|
||||
# Quality grade based on conditions
|
||||
if health_level in ["excellent", "good"]:
|
||||
quality = "A"
|
||||
price_multiplier = 1.2
|
||||
elif health_level == "fair":
|
||||
quality = "B"
|
||||
price_multiplier = 1.0
|
||||
else:
|
||||
quality = "C"
|
||||
price_multiplier = 0.8
|
||||
|
||||
return {
|
||||
"forecast_id": f"YLD-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": field_id,
|
||||
"crop_type": crop_type,
|
||||
"predicted_yield": predicted_yield,
|
||||
"confidence_interval": (predicted_yield * 0.9, predicted_yield * 1.1),
|
||||
"harvest_window": (
|
||||
(datetime.now() + timedelta(days=60)).isoformat(),
|
||||
(datetime.now() + timedelta(days=75)).isoformat()
|
||||
),
|
||||
"quality_grade": quality,
|
||||
"market_price_estimate": predicted_yield * 250 * price_multiplier, # $/ton
|
||||
"risk_factors": ["weather_variability", "pest_pressure", "market_volatility"]
|
||||
}
|
||||
|
||||
|
||||
# Agriculture agent definitions
|
||||
multispectral_agent = Agent(
|
||||
name="MultispectralAnalyzer",
|
||||
instructions="""You are a remote sensing specialist for precision agriculture.
|
||||
Analyze multispectral imagery from drones and satellites.
|
||||
Calculate vegetation indices (NDVI, NDRE, CCCI) to assess crop health.
|
||||
Identify stress zones and anomalies in field conditions.
|
||||
SLA: Process imagery within 2 minutes per field.""",
|
||||
tools=[analyze_multispectral_imagery]
|
||||
)
|
||||
|
||||
disease_agent = Agent(
|
||||
name="DiseaseIdentifier",
|
||||
instructions="""You are a plant pathology expert with AI vision capabilities.
|
||||
Identify crop diseases, pests, and nutrient deficiencies.
|
||||
Assess severity levels and predict spread patterns.
|
||||
Consider environmental factors affecting disease development.
|
||||
SLA: Complete identification within 30 seconds.""",
|
||||
tools=[identify_pest_disease]
|
||||
)
|
||||
|
||||
spray_agent = Agent(
|
||||
name="SprayRecommender",
|
||||
instructions="""You are a precision application specialist.
|
||||
Recommend targeted spraying strategies for pest and disease control.
|
||||
Optimize chemical usage to minimize environmental impact.
|
||||
Consider weather windows and application regulations.
|
||||
SLA: Generate recommendations within 1 minute.""",
|
||||
tools=[calculate_spray_recommendation]
|
||||
)
|
||||
|
||||
yield_agent = Agent(
|
||||
name="YieldPredictor",
|
||||
instructions="""You are a crop yield forecasting specialist.
|
||||
Predict harvest yields based on current conditions and historical data.
|
||||
Assess crop quality grades and market value estimates.
|
||||
Identify risk factors that could impact final yield.
|
||||
SLA: Generate forecast within 45 seconds.""",
|
||||
tools=[predict_crop_yield]
|
||||
)
|
||||
|
||||
|
||||
# Precision agriculture workflow
|
||||
def precision_agriculture_workflow(field_ids: List[str], crop_type: str, weather_data: Dict):
|
||||
"""
|
||||
Complete precision agriculture workflow from monitoring to treatment
|
||||
Includes early warning system and sustainable farming practices
|
||||
"""
|
||||
|
||||
workflow_results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"fields_monitored": len(field_ids),
|
||||
"alerts": [],
|
||||
"treatments_needed": [],
|
||||
"yield_forecasts": [],
|
||||
"sustainability_score": 0.0
|
||||
}
|
||||
|
||||
for field_id in field_ids:
|
||||
try:
|
||||
# Step 1: Multispectral analysis
|
||||
spectral_analysis = multispectral_agent.start(
|
||||
f"Analyze multispectral imagery for field {field_id}"
|
||||
)
|
||||
|
||||
# Step 2: Disease and pest detection
|
||||
pest_report = disease_agent.start(
|
||||
f"Identify pests/diseases from spectral data: {spectral_analysis}"
|
||||
)
|
||||
|
||||
# Check for alerts
|
||||
if pest_report.get("severity") in ["high", "severe"]:
|
||||
workflow_results["alerts"].append({
|
||||
"field_id": field_id,
|
||||
"type": "pest_disease_alert",
|
||||
"severity": pest_report["severity"],
|
||||
"pest": pest_report.get("pest_type"),
|
||||
"disease": pest_report.get("disease_type"),
|
||||
"action": "immediate_treatment_required"
|
||||
})
|
||||
|
||||
# Step 3: Generate spray recommendation
|
||||
spray_recommendation = spray_agent.start(
|
||||
f"Calculate spray strategy for pest report: {pest_report}, "
|
||||
f"field: {spectral_analysis}, weather: {weather_data}"
|
||||
)
|
||||
workflow_results["treatments_needed"].append(spray_recommendation)
|
||||
|
||||
# Step 4: Yield prediction
|
||||
yield_forecast = yield_agent.start(
|
||||
f"Predict yield for field {field_id}, crop {crop_type}, "
|
||||
f"health: {spectral_analysis}, weather: {weather_data}"
|
||||
)
|
||||
workflow_results["yield_forecasts"].append(yield_forecast)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Schedule manual inspection
|
||||
workflow_results["alerts"].append({
|
||||
"field_id": field_id,
|
||||
"type": "monitoring_failure",
|
||||
"error": str(e),
|
||||
"action": "schedule_manual_inspection"
|
||||
})
|
||||
|
||||
# Calculate sustainability score
|
||||
total_chemical = sum(
|
||||
t.get("application_rate", 0) * t.get("affected_area", 0)
|
||||
for t in workflow_results["treatments_needed"]
|
||||
)
|
||||
workflow_results["sustainability_score"] = max(0, 100 - (total_chemical * 10))
|
||||
|
||||
return workflow_results
|
||||
|
||||
|
||||
# Sustainable farming patterns
|
||||
class SustainableFarmingPatterns:
|
||||
"""
|
||||
Patterns for sustainable and regenerative agriculture
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def integrated_pest_management(pest_level: str) -> Dict:
|
||||
"""IPM strategy based on pest pressure"""
|
||||
strategies = {
|
||||
"low": {
|
||||
"method": "biological_control",
|
||||
"actions": ["release_beneficial_insects", "plant_trap_crops"],
|
||||
"chemical_use": 0
|
||||
},
|
||||
"moderate": {
|
||||
"method": "targeted_intervention",
|
||||
"actions": ["spot_treatment", "pheromone_traps", "minimal_spray"],
|
||||
"chemical_use": 30
|
||||
},
|
||||
"high": {
|
||||
"method": "integrated_approach",
|
||||
"actions": ["systematic_spray", "crop_rotation", "resistant_varieties"],
|
||||
"chemical_use": 70
|
||||
}
|
||||
}
|
||||
return strategies.get(pest_level, strategies["moderate"])
|
||||
|
||||
@staticmethod
|
||||
def precision_irrigation(moisture_level: float, crop_stage: str) -> Dict:
|
||||
"""Calculate optimal irrigation based on soil moisture and crop stage"""
|
||||
# Water requirements by growth stage (mm/day)
|
||||
stage_requirements = {
|
||||
"germination": 3.0,
|
||||
"vegetative": 5.0,
|
||||
"flowering": 7.0,
|
||||
"grain_filling": 6.0,
|
||||
"maturation": 2.0
|
||||
}
|
||||
|
||||
required = stage_requirements.get(crop_stage, 5.0)
|
||||
deficit = max(0, 40 - moisture_level) # Target 40% moisture
|
||||
|
||||
return {
|
||||
"irrigation_needed": deficit > 10,
|
||||
"amount_mm": deficit * 2,
|
||||
"method": "drip" if deficit < 20 else "sprinkler",
|
||||
"schedule": "night_irrigation" if deficit > 15 else "morning_irrigation",
|
||||
"water_saved": (100 - deficit) / 100 * 1000 # Liters per hectare
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def crop_rotation_optimizer(current_crop: str, soil_data: Dict) -> str:
|
||||
"""Recommend next crop for rotation based on soil health"""
|
||||
rotations = {
|
||||
"wheat": ["soybeans", "canola"], # Nitrogen fixation
|
||||
"corn": ["soybeans", "alfalfa"], # Break disease cycle
|
||||
"soybeans": ["wheat", "corn"], # Utilize fixed nitrogen
|
||||
"rice": ["legumes", "vegetables"], # Soil structure improvement
|
||||
}
|
||||
|
||||
return rotations.get(current_crop, ["cover_crops"])[0]
|
||||
|
||||
|
||||
# IoT sensor integration patterns
|
||||
class IoTSensorPatterns:
|
||||
"""
|
||||
Patterns for integrating IoT sensors in smart farming
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def create_sensor_network_agent(sensor_types: List[str]) -> Agent:
|
||||
"""Create agent for managing IoT sensor networks"""
|
||||
return Agent(
|
||||
name="SensorNetworkManager",
|
||||
instructions=f"""Manage IoT sensor network with {', '.join(sensor_types)}.
|
||||
Collect real-time data from field sensors.
|
||||
Detect sensor anomalies and maintenance needs.
|
||||
Aggregate data for precision agriculture decisions.
|
||||
SLA: Data collection every 15 minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def process_sensor_data(sensor_readings: List[Dict]) -> Dict:
|
||||
"""Process and aggregate IoT sensor data"""
|
||||
aggregated = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"sensor_count": len(sensor_readings),
|
||||
"averages": {},
|
||||
"alerts": []
|
||||
}
|
||||
|
||||
# Calculate averages
|
||||
for reading in sensor_readings:
|
||||
for key, value in reading.items():
|
||||
if isinstance(value, (int, float)):
|
||||
if key not in aggregated["averages"]:
|
||||
aggregated["averages"][key] = []
|
||||
aggregated["averages"][key].append(value)
|
||||
|
||||
# Convert to means
|
||||
for key in aggregated["averages"]:
|
||||
values = aggregated["averages"][key]
|
||||
aggregated["averages"][key] = sum(values) / len(values)
|
||||
|
||||
# Check for anomalies
|
||||
if key == "soil_ph" and (aggregated["averages"][key] < 6.0 or aggregated["averages"][key] > 7.5):
|
||||
aggregated["alerts"].append({
|
||||
"type": "soil_ph_anomaly",
|
||||
"value": aggregated["averages"][key],
|
||||
"action": "adjust_soil_treatment"
|
||||
})
|
||||
|
||||
return aggregated
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor multiple fields
|
||||
fields = ["FIELD-001", "FIELD-002", "FIELD-003"]
|
||||
weather = {
|
||||
"temperature": 25,
|
||||
"humidity": 60,
|
||||
"wind_speed": 8,
|
||||
"precipitation": 0,
|
||||
"forecast": "partly_cloudy"
|
||||
}
|
||||
|
||||
result = precision_agriculture_workflow(fields, "wheat", weather)
|
||||
print("Agriculture workflow result:", result)
|
||||
|
||||
# Sustainable farming example
|
||||
ipm_strategy = SustainableFarmingPatterns.integrated_pest_management("moderate")
|
||||
print("IPM Strategy:", ipm_strategy)
|
||||
|
||||
irrigation_plan = SustainableFarmingPatterns.precision_irrigation(25.0, "flowering")
|
||||
print("Irrigation Plan:", irrigation_plan)
|
||||
|
||||
next_crop = SustainableFarmingPatterns.crop_rotation_optimizer("wheat", {})
|
||||
print("Recommended next crop:", next_crop)
|
||||
|
||||
# IoT integration example
|
||||
sensor_agent = IoTSensorPatterns.create_sensor_network_agent(
|
||||
["soil_moisture", "temperature", "humidity", "light", "ph"]
|
||||
)
|
||||
|
||||
sensor_data = [
|
||||
{"sensor_id": "S001", "soil_moisture": 35, "temperature": 24, "soil_ph": 6.8},
|
||||
{"sensor_id": "S002", "soil_moisture": 32, "temperature": 25, "soil_ph": 7.2},
|
||||
{"sensor_id": "S003", "soil_moisture": 38, "temperature": 23, "soil_ph": 5.8}
|
||||
]
|
||||
|
||||
processed_data = IoTSensorPatterns.process_sensor_data(sensor_data)
|
||||
print("Processed sensor data:", processed_data)
|
||||
@@ -1,372 +0,0 @@
|
||||
"""
|
||||
Energy Industry Template
|
||||
========================
|
||||
Wind farm monitoring and power optimization workflow
|
||||
Based on SRAO Framework patterns with predictive maintenance
|
||||
|
||||
Key agents:
|
||||
- SCADAReader: Processes SCADA telemetry data
|
||||
- VibrationAnalyzer: Analyzes turbine vibration patterns
|
||||
- PowerForecaster: Predicts power generation
|
||||
- MaintenanceScheduler: Schedules predictive maintenance
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class TurbineData(BaseModel):
|
||||
"""Wind turbine telemetry data"""
|
||||
turbine_id: str
|
||||
timestamp: str
|
||||
wind_speed: float # m/s
|
||||
power_output: float # MW
|
||||
rotor_speed: float # RPM
|
||||
blade_pitch: float # degrees
|
||||
nacelle_temperature: float # Celsius
|
||||
vibration_level: float # mm/s
|
||||
operational_status: str # running, stopped, maintenance
|
||||
|
||||
|
||||
class VibrationAnalysis(BaseModel):
|
||||
"""Vibration analysis results"""
|
||||
turbine_id: str
|
||||
analysis_time: str
|
||||
vibration_rms: float
|
||||
frequency_peaks: List[float]
|
||||
anomaly_detected: bool
|
||||
failure_probability: float
|
||||
recommended_action: str
|
||||
|
||||
|
||||
class PowerForecast(BaseModel):
|
||||
"""Power generation forecast"""
|
||||
forecast_id: str
|
||||
start_time: str
|
||||
end_time: str
|
||||
predicted_output: List[float] # MW per hour
|
||||
confidence_interval: float
|
||||
weather_factors: Dict[str, Any]
|
||||
grid_demand: float
|
||||
|
||||
|
||||
class MaintenancePlan(BaseModel):
|
||||
"""Maintenance scheduling plan"""
|
||||
plan_id: str
|
||||
turbine_id: str
|
||||
maintenance_type: str # preventive, predictive, corrective
|
||||
scheduled_date: str
|
||||
estimated_duration: int # hours
|
||||
required_parts: List[str]
|
||||
technician_team: str
|
||||
production_loss: float # MW
|
||||
|
||||
|
||||
# Tools for energy management
|
||||
@tool
|
||||
def read_scada_telemetry(turbine_id: str, time_range: str = "last_hour") -> Dict:
|
||||
"""Read SCADA system telemetry for wind turbines"""
|
||||
# Simulate SCADA data reading
|
||||
return {
|
||||
"turbine_id": turbine_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"wind_speed": 12.5,
|
||||
"power_output": 2.3,
|
||||
"rotor_speed": 16.8,
|
||||
"blade_pitch": 8.5,
|
||||
"nacelle_temperature": 45.2,
|
||||
"vibration_level": 3.2,
|
||||
"operational_status": "running"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def analyze_vibration_patterns(turbine_data: Dict) -> Dict:
|
||||
"""Analyze vibration patterns for early fault detection"""
|
||||
# Simulate vibration analysis
|
||||
vibration_level = turbine_data.get("vibration_level", 0)
|
||||
anomaly = vibration_level > 5.0 # Threshold for anomaly
|
||||
|
||||
return {
|
||||
"turbine_id": turbine_data["turbine_id"],
|
||||
"analysis_time": datetime.now().isoformat(),
|
||||
"vibration_rms": vibration_level,
|
||||
"frequency_peaks": [10.5, 25.3, 50.0], # Hz
|
||||
"anomaly_detected": anomaly,
|
||||
"failure_probability": min(vibration_level / 10.0, 1.0),
|
||||
"recommended_action": "immediate_inspection" if anomaly else "continue_monitoring"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def forecast_power_generation(weather_data: Dict, historical_data: List) -> Dict:
|
||||
"""Forecast power generation based on weather and historical patterns"""
|
||||
# Simulate power forecasting
|
||||
base_forecast = [2.0 + (i * 0.1) for i in range(24)] # 24-hour forecast
|
||||
|
||||
return {
|
||||
"forecast_id": f"FCST-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"start_time": datetime.now().isoformat(),
|
||||
"end_time": (datetime.now() + timedelta(hours=24)).isoformat(),
|
||||
"predicted_output": base_forecast,
|
||||
"confidence_interval": 0.85,
|
||||
"weather_factors": weather_data,
|
||||
"grid_demand": sum(base_forecast)
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def schedule_maintenance(turbine_id: str, maintenance_type: str, urgency: str = "normal") -> Dict:
|
||||
"""Schedule maintenance based on condition monitoring"""
|
||||
# Calculate maintenance window
|
||||
if urgency == "urgent":
|
||||
scheduled_date = (datetime.now() + timedelta(days=1)).isoformat()
|
||||
else:
|
||||
scheduled_date = (datetime.now() + timedelta(days=7)).isoformat()
|
||||
|
||||
return {
|
||||
"plan_id": f"MNT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"turbine_id": turbine_id,
|
||||
"maintenance_type": maintenance_type,
|
||||
"scheduled_date": scheduled_date,
|
||||
"estimated_duration": 4,
|
||||
"required_parts": ["bearing_set", "lubricant", "filter"],
|
||||
"technician_team": "Team-A",
|
||||
"production_loss": 8.0 # MW lost during maintenance
|
||||
}
|
||||
|
||||
|
||||
# Agent Definitions with SLA requirements
|
||||
scada_reader = Agent(
|
||||
name="SCADAReader",
|
||||
instructions="""You are a SCADA system specialist for wind farms.
|
||||
Process real-time telemetry data from wind turbines.
|
||||
Identify operational anomalies and performance deviations.
|
||||
SLA: Process telemetry within 1 second for real-time monitoring.""",
|
||||
tools=[read_scada_telemetry]
|
||||
)
|
||||
|
||||
vibration_analyzer = Agent(
|
||||
name="VibrationAnalyzer",
|
||||
instructions="""You are a vibration analysis expert for rotating machinery.
|
||||
Analyze vibration patterns to detect early signs of mechanical failure.
|
||||
Use FFT analysis and pattern recognition for fault diagnosis.
|
||||
SLA: Complete analysis within 5 seconds per turbine.""",
|
||||
tools=[analyze_vibration_patterns]
|
||||
)
|
||||
|
||||
power_forecaster = Agent(
|
||||
name="PowerForecaster",
|
||||
instructions="""You are a power generation forecasting specialist.
|
||||
Predict power output based on weather forecasts and historical patterns.
|
||||
Consider grid demand and optimize generation schedules.
|
||||
SLA: Generate 24-hour forecast within 30 seconds.""",
|
||||
tools=[forecast_power_generation]
|
||||
)
|
||||
|
||||
maintenance_scheduler = Agent(
|
||||
name="MaintenanceScheduler",
|
||||
instructions="""You are a predictive maintenance planning expert.
|
||||
Schedule maintenance based on condition monitoring and failure predictions.
|
||||
Minimize production loss while ensuring turbine reliability.
|
||||
SLA: Create maintenance plan within 1 minute.""",
|
||||
tools=[schedule_maintenance]
|
||||
)
|
||||
|
||||
|
||||
# Energy workflow with grid integration
|
||||
def energy_monitoring_workflow(turbine_ids: List[str], weather_forecast: Dict):
|
||||
"""
|
||||
Complete energy monitoring and optimization workflow
|
||||
Includes predictive maintenance and grid integration
|
||||
"""
|
||||
|
||||
results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"turbines_monitored": len(turbine_ids),
|
||||
"alerts": [],
|
||||
"maintenance_required": [],
|
||||
"power_forecast": None
|
||||
}
|
||||
|
||||
# Step 1: Monitor all turbines
|
||||
for turbine_id in turbine_ids:
|
||||
try:
|
||||
# Read SCADA data
|
||||
scada_data = scada_reader.start(
|
||||
f"Read telemetry for turbine {turbine_id}"
|
||||
)
|
||||
|
||||
# Analyze vibrations
|
||||
vibration_result = vibration_analyzer.start(
|
||||
f"Analyze vibrations for data: {scada_data}"
|
||||
)
|
||||
|
||||
# Check for anomalies
|
||||
if vibration_result.get("anomaly_detected"):
|
||||
results["alerts"].append({
|
||||
"turbine_id": turbine_id,
|
||||
"type": "vibration_anomaly",
|
||||
"severity": "high" if vibration_result.get("failure_probability", 0) > 0.7 else "medium"
|
||||
})
|
||||
|
||||
# Schedule maintenance if needed
|
||||
maintenance_plan = maintenance_scheduler.start(
|
||||
f"Schedule maintenance for turbine {turbine_id} with urgency based on {vibration_result}"
|
||||
)
|
||||
results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Mark turbine for manual inspection
|
||||
results["alerts"].append({
|
||||
"turbine_id": turbine_id,
|
||||
"type": "monitoring_failure",
|
||||
"error": str(e),
|
||||
"action": "manual_inspection_required"
|
||||
})
|
||||
|
||||
# Step 2: Power generation forecast
|
||||
try:
|
||||
historical_data = [] # Would be fetched from database
|
||||
power_forecast = power_forecaster.start(
|
||||
f"Forecast power with weather {weather_forecast} and history {historical_data}"
|
||||
)
|
||||
results["power_forecast"] = power_forecast
|
||||
|
||||
# Grid integration check
|
||||
if power_forecast.get("predicted_output"):
|
||||
total_predicted = sum(power_forecast["predicted_output"])
|
||||
grid_demand = power_forecast.get("grid_demand", 0)
|
||||
|
||||
if total_predicted < grid_demand * 0.9:
|
||||
results["alerts"].append({
|
||||
"type": "supply_shortage",
|
||||
"predicted": total_predicted,
|
||||
"demand": grid_demand,
|
||||
"action": "consider_backup_sources"
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Use conservative forecast
|
||||
results["power_forecast"] = {
|
||||
"status": "fallback_mode",
|
||||
"conservative_estimate": len(turbine_ids) * 1.5, # MW
|
||||
"error": str(e)
|
||||
}
|
||||
|
||||
return results
|
||||
|
||||
|
||||
# Cross-industry pattern adaptation
|
||||
class EnergyPatternAdapter:
|
||||
"""
|
||||
Adapts manufacturing patterns for energy sector
|
||||
Demonstrates 70% code reuse across industries
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_solar_farm():
|
||||
"""Adapt wind farm agents for solar farm monitoring"""
|
||||
return Agent(
|
||||
name="SolarMonitor",
|
||||
instructions="""Monitor solar panel efficiency and temperature.
|
||||
Track irradiance levels and predict power output.
|
||||
Detect panel degradation and soiling issues.
|
||||
SLA: Real-time monitoring with 2-second updates."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_power_grid():
|
||||
"""Adapt for power grid management"""
|
||||
return Agent(
|
||||
name="GridBalancer",
|
||||
instructions="""Balance power supply and demand across the grid.
|
||||
Manage load distribution and prevent blackouts.
|
||||
Coordinate with renewable and traditional sources.
|
||||
SLA: Sub-second response for grid stability."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_battery_storage():
|
||||
"""Adapt for battery energy storage systems"""
|
||||
return Agent(
|
||||
name="BatteryOptimizer",
|
||||
instructions="""Optimize battery charge/discharge cycles.
|
||||
Predict battery degradation and schedule replacements.
|
||||
Maximize energy arbitrage opportunities.
|
||||
SLA: Optimization decision within 10 seconds."""
|
||||
)
|
||||
|
||||
|
||||
# Fallback strategies for critical operations
|
||||
class EnergyFallbackStrategies:
|
||||
"""
|
||||
Fallback strategies for maintaining grid stability
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def turbine_failure_fallback(failed_turbine_id: str, available_turbines: List[str]):
|
||||
"""Handle turbine failure by redistributing load"""
|
||||
return {
|
||||
"strategy": "load_redistribution",
|
||||
"failed_turbine": failed_turbine_id,
|
||||
"compensating_turbines": available_turbines[:3], # Use top 3 turbines
|
||||
"increase_output_by": 0.3, # MW per turbine
|
||||
"duration": "until_maintenance_complete"
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def forecast_failure_fallback(last_known_forecast: Optional[Dict]):
|
||||
"""Handle forecasting system failure"""
|
||||
if last_known_forecast:
|
||||
return {
|
||||
"strategy": "use_last_known",
|
||||
"forecast": last_known_forecast,
|
||||
"confidence": 0.6,
|
||||
"validity": "4_hours"
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"strategy": "seasonal_average",
|
||||
"estimated_output": 50.0, # MW based on seasonal average
|
||||
"confidence": 0.4,
|
||||
"recommendation": "increase_reserves"
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def communication_failure_fallback():
|
||||
"""Handle SCADA communication failure"""
|
||||
return {
|
||||
"strategy": "local_control_mode",
|
||||
"actions": [
|
||||
"Switch turbines to autonomous mode",
|
||||
"Use local safety thresholds",
|
||||
"Log data locally for later sync",
|
||||
"Alert maintenance teams"
|
||||
],
|
||||
"recovery_check_interval": 300 # seconds
|
||||
}
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor wind farm
|
||||
turbine_list = [f"WT-{i:03d}" for i in range(1, 11)] # 10 turbines
|
||||
weather = {"wind_speed": 14.0, "direction": "NW", "temperature": 15.0}
|
||||
|
||||
result = energy_monitoring_workflow(turbine_list, weather)
|
||||
print("Energy monitoring result:", result)
|
||||
|
||||
# Demonstrate cross-industry adaptation
|
||||
solar_monitor = EnergyPatternAdapter.adapt_for_solar_farm()
|
||||
grid_balancer = EnergyPatternAdapter.adapt_for_power_grid()
|
||||
battery_optimizer = EnergyPatternAdapter.adapt_for_battery_storage()
|
||||
|
||||
# Fallback examples
|
||||
turbine_fallback = EnergyFallbackStrategies.turbine_failure_fallback(
|
||||
"WT-003", ["WT-001", "WT-002", "WT-004", "WT-005"]
|
||||
)
|
||||
print("Turbine failure fallback:", turbine_fallback)
|
||||
@@ -1,478 +0,0 @@
|
||||
"""
|
||||
Healthcare Industry Template
|
||||
============================
|
||||
Emergency triage and patient care coordination workflow
|
||||
Based on SRAO Framework with HIPAA-compliant patterns
|
||||
|
||||
Key agents:
|
||||
- VitalSignsCapture: Processes patient vital signs
|
||||
- EMRRetrieval: Retrieves electronic medical records
|
||||
- TriageRecommendation: Provides triage recommendations
|
||||
- ResourceAllocator: Manages hospital resource allocation
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime
|
||||
from enum import Enum
|
||||
|
||||
|
||||
# Triage levels following Emergency Severity Index (ESI)
|
||||
class TriageLevel(str, Enum):
|
||||
RESUSCITATION = "1_resuscitation" # Immediate life-saving intervention
|
||||
EMERGENT = "2_emergent" # High risk, severe pain/distress
|
||||
URGENT = "3_urgent" # Stable but needs multiple resources
|
||||
LESS_URGENT = "4_less_urgent" # Stable, one resource needed
|
||||
NON_URGENT = "5_non_urgent" # Stable, no resources needed
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class VitalSigns(BaseModel):
|
||||
"""Patient vital signs data"""
|
||||
patient_id: str
|
||||
timestamp: str
|
||||
heart_rate: int # bpm
|
||||
blood_pressure_systolic: int # mmHg
|
||||
blood_pressure_diastolic: int # mmHg
|
||||
respiratory_rate: int # breaths/min
|
||||
temperature: float # Celsius
|
||||
oxygen_saturation: int # percentage
|
||||
pain_scale: int # 0-10
|
||||
consciousness_level: str # alert, verbal, pain, unresponsive (AVPU)
|
||||
|
||||
|
||||
class MedicalHistory(BaseModel):
|
||||
"""Patient medical history from EMR"""
|
||||
patient_id: str
|
||||
allergies: List[str]
|
||||
chronic_conditions: List[str]
|
||||
current_medications: List[Dict[str, str]]
|
||||
recent_visits: List[Dict[str, Any]]
|
||||
emergency_contacts: List[Dict[str, str]]
|
||||
insurance_status: str
|
||||
|
||||
|
||||
class TriageAssessment(BaseModel):
|
||||
"""Triage assessment and recommendations"""
|
||||
assessment_id: str
|
||||
patient_id: str
|
||||
triage_level: TriageLevel
|
||||
chief_complaint: str
|
||||
recommended_department: str
|
||||
estimated_wait_time: int # minutes
|
||||
required_resources: List[str]
|
||||
clinical_notes: str
|
||||
red_flags: List[str]
|
||||
|
||||
|
||||
class ResourceAllocation(BaseModel):
|
||||
"""Hospital resource allocation"""
|
||||
allocation_id: str
|
||||
patient_id: str
|
||||
assigned_bed: Optional[str]
|
||||
assigned_staff: List[str]
|
||||
equipment_needed: List[str]
|
||||
department: str
|
||||
priority_score: float
|
||||
estimated_treatment_time: int # minutes
|
||||
|
||||
|
||||
# Healthcare-specific tools
|
||||
@tool
|
||||
def capture_vital_signs(patient_id: str) -> Dict:
|
||||
"""Capture patient vital signs from monitoring devices"""
|
||||
# Simulate vital signs capture
|
||||
return {
|
||||
"patient_id": patient_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"heart_rate": 78,
|
||||
"blood_pressure_systolic": 130,
|
||||
"blood_pressure_diastolic": 85,
|
||||
"respiratory_rate": 16,
|
||||
"temperature": 37.2,
|
||||
"oxygen_saturation": 98,
|
||||
"pain_scale": 6,
|
||||
"consciousness_level": "alert"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def retrieve_medical_history(patient_id: str, consent_verified: bool = True) -> Dict:
|
||||
"""Retrieve patient medical history from EMR system"""
|
||||
if not consent_verified:
|
||||
return {"error": "consent_required", "message": "Patient consent required for EMR access"}
|
||||
|
||||
# Simulate EMR retrieval
|
||||
return {
|
||||
"patient_id": patient_id,
|
||||
"allergies": ["penicillin", "latex"],
|
||||
"chronic_conditions": ["hypertension", "diabetes_type2"],
|
||||
"current_medications": [
|
||||
{"name": "metformin", "dose": "500mg", "frequency": "twice daily"},
|
||||
{"name": "lisinopril", "dose": "10mg", "frequency": "once daily"}
|
||||
],
|
||||
"recent_visits": [
|
||||
{"date": "2024-02-15", "reason": "routine_checkup", "department": "primary_care"}
|
||||
],
|
||||
"emergency_contacts": [
|
||||
{"name": "Jane Doe", "relationship": "spouse", "phone": "555-0123"}
|
||||
],
|
||||
"insurance_status": "active"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_triage_priority(vital_signs: Dict, medical_history: Dict, chief_complaint: str) -> Dict:
|
||||
"""Calculate triage priority based on clinical indicators"""
|
||||
# Simulate triage algorithm
|
||||
priority_score = 0
|
||||
red_flags = []
|
||||
|
||||
# Check vital signs
|
||||
if vital_signs["heart_rate"] > 120 or vital_signs["heart_rate"] < 50:
|
||||
priority_score += 3
|
||||
red_flags.append("abnormal_heart_rate")
|
||||
|
||||
if vital_signs["oxygen_saturation"] < 92:
|
||||
priority_score += 4
|
||||
red_flags.append("low_oxygen")
|
||||
|
||||
if vital_signs["consciousness_level"] != "alert":
|
||||
priority_score += 5
|
||||
red_flags.append("altered_consciousness")
|
||||
|
||||
# Determine triage level
|
||||
if priority_score >= 8:
|
||||
triage_level = TriageLevel.RESUSCITATION
|
||||
department = "emergency"
|
||||
wait_time = 0
|
||||
elif priority_score >= 5:
|
||||
triage_level = TriageLevel.EMERGENT
|
||||
department = "emergency"
|
||||
wait_time = 10
|
||||
elif priority_score >= 3:
|
||||
triage_level = TriageLevel.URGENT
|
||||
department = "urgent_care"
|
||||
wait_time = 30
|
||||
else:
|
||||
triage_level = TriageLevel.LESS_URGENT
|
||||
department = "primary_care"
|
||||
wait_time = 60
|
||||
|
||||
return {
|
||||
"assessment_id": f"TRG-{datetime.now().strftime('%Y%m%d%H%M%S')}",
|
||||
"patient_id": vital_signs["patient_id"],
|
||||
"triage_level": triage_level.value,
|
||||
"chief_complaint": chief_complaint,
|
||||
"recommended_department": department,
|
||||
"estimated_wait_time": wait_time,
|
||||
"required_resources": ["physician", "nurse", "monitoring"],
|
||||
"clinical_notes": f"Priority score: {priority_score}",
|
||||
"red_flags": red_flags
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def allocate_resources(patient_id: str, triage_level: str, department: str) -> Dict:
|
||||
"""Allocate hospital resources based on triage assessment"""
|
||||
# Simulate resource allocation
|
||||
if "resuscitation" in triage_level:
|
||||
bed = "ER-01"
|
||||
staff = ["Dr. Smith", "Nurse Johnson", "Nurse Williams"]
|
||||
equipment = ["cardiac_monitor", "defibrillator", "crash_cart"]
|
||||
priority = 10.0
|
||||
elif "emergent" in triage_level:
|
||||
bed = "ER-05"
|
||||
staff = ["Dr. Brown", "Nurse Davis"]
|
||||
equipment = ["vital_signs_monitor", "IV_pump"]
|
||||
priority = 8.0
|
||||
else:
|
||||
bed = "UC-12"
|
||||
staff = ["PA Miller", "Nurse Garcia"]
|
||||
equipment = ["basic_monitor"]
|
||||
priority = 5.0
|
||||
|
||||
return {
|
||||
"allocation_id": f"RES-{datetime.now().strftime('%Y%m%d%H%M%S')}",
|
||||
"patient_id": patient_id,
|
||||
"assigned_bed": bed,
|
||||
"assigned_staff": staff,
|
||||
"equipment_needed": equipment,
|
||||
"department": department,
|
||||
"priority_score": priority,
|
||||
"estimated_treatment_time": 45
|
||||
}
|
||||
|
||||
|
||||
# Healthcare agent definitions with SLA requirements
|
||||
vital_signs_agent = Agent(
|
||||
name="VitalSignsCapture",
|
||||
instructions="""You are a clinical vital signs specialist.
|
||||
Capture and interpret patient vital signs from various monitoring devices.
|
||||
Identify abnormal values and trends that require immediate attention.
|
||||
Follow HIPAA guidelines for patient data handling.
|
||||
SLA: Capture and process within 30 seconds.""",
|
||||
tools=[capture_vital_signs]
|
||||
)
|
||||
|
||||
emr_agent = Agent(
|
||||
name="EMRRetrieval",
|
||||
instructions="""You are an EMR system specialist with HIPAA compliance expertise.
|
||||
Retrieve relevant patient medical history while ensuring data privacy.
|
||||
Verify patient consent and maintain audit trails.
|
||||
Highlight relevant allergies and contraindications.
|
||||
SLA: Retrieve records within 5 seconds.""",
|
||||
tools=[retrieve_medical_history]
|
||||
)
|
||||
|
||||
triage_agent = Agent(
|
||||
name="TriageRecommendation",
|
||||
instructions="""You are an emergency triage specialist following ESI guidelines.
|
||||
Assess patient severity and provide triage recommendations.
|
||||
Consider vital signs, medical history, and presenting symptoms.
|
||||
Identify red flags that require immediate intervention.
|
||||
SLA: Complete assessment within 1 minute.""",
|
||||
tools=[calculate_triage_priority]
|
||||
)
|
||||
|
||||
resource_agent = Agent(
|
||||
name="ResourceAllocator",
|
||||
instructions="""You are a hospital resource management specialist.
|
||||
Allocate beds, staff, and equipment based on patient needs and priority.
|
||||
Optimize resource utilization while maintaining quality of care.
|
||||
Coordinate between departments for efficient patient flow.
|
||||
SLA: Allocate resources within 30 seconds.""",
|
||||
tools=[allocate_resources]
|
||||
)
|
||||
|
||||
|
||||
# Healthcare workflow with safety protocols
|
||||
def emergency_triage_workflow(patient_id: str, chief_complaint: str):
|
||||
"""
|
||||
Complete emergency triage workflow from arrival to resource allocation
|
||||
Includes safety checks and fallback protocols
|
||||
"""
|
||||
|
||||
workflow_result = {
|
||||
"patient_id": patient_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"status": "in_progress",
|
||||
"safety_checks": [],
|
||||
"clinical_pathway": []
|
||||
}
|
||||
|
||||
# Step 1: Vital signs capture with validation
|
||||
try:
|
||||
vital_signs = vital_signs_agent.start(
|
||||
f"Capture vital signs for patient {patient_id}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "vital_signs",
|
||||
"status": "completed",
|
||||
"data": vital_signs
|
||||
})
|
||||
|
||||
# Safety check: Validate vital signs are within possible ranges
|
||||
if vital_signs.get("heart_rate", 0) < 20 or vital_signs.get("heart_rate", 0) > 300:
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "vital_signs_validation",
|
||||
"issue": "impossible_heart_rate",
|
||||
"action": "manual_verification_required"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Manual vital signs entry
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "vital_signs",
|
||||
"status": "manual_entry_required",
|
||||
"error": str(e)
|
||||
})
|
||||
vital_signs = {"manual_entry": True}
|
||||
|
||||
# Step 2: EMR retrieval with consent check
|
||||
try:
|
||||
medical_history = emr_agent.start(
|
||||
f"Retrieve medical history for patient {patient_id} with verified consent"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "emr_retrieval",
|
||||
"status": "completed",
|
||||
"records_retrieved": True
|
||||
})
|
||||
|
||||
# Safety check: Allergy alerts
|
||||
if medical_history.get("allergies"):
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "allergy_alert",
|
||||
"allergies": medical_history["allergies"],
|
||||
"action": "notify_all_providers"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Proceed with limited information
|
||||
medical_history = {
|
||||
"patient_id": patient_id,
|
||||
"allergies": [],
|
||||
"note": "EMR_unavailable_proceed_with_caution"
|
||||
}
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "emr_unavailable",
|
||||
"action": "collect_history_manually"
|
||||
})
|
||||
|
||||
# Step 3: Triage assessment
|
||||
try:
|
||||
triage_assessment = triage_agent.start(
|
||||
f"Assess triage for patient with vitals {vital_signs}, "
|
||||
f"history {medical_history}, complaint: {chief_complaint}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "triage_assessment",
|
||||
"status": "completed",
|
||||
"triage_level": triage_assessment.get("triage_level")
|
||||
})
|
||||
|
||||
# Safety check: Red flags requiring immediate action
|
||||
if triage_assessment.get("red_flags"):
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "clinical_red_flags",
|
||||
"flags": triage_assessment["red_flags"],
|
||||
"action": "immediate_physician_notification"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Conservative triage (assume urgent)
|
||||
triage_assessment = {
|
||||
"triage_level": TriageLevel.URGENT.value,
|
||||
"recommended_department": "emergency",
|
||||
"fallback": True
|
||||
}
|
||||
|
||||
# Step 4: Resource allocation
|
||||
try:
|
||||
resource_allocation = resource_agent.start(
|
||||
f"Allocate resources for patient {patient_id} "
|
||||
f"with triage {triage_assessment.get('triage_level')} "
|
||||
f"to {triage_assessment.get('recommended_department')}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "resource_allocation",
|
||||
"status": "completed",
|
||||
"bed_assigned": resource_allocation.get("assigned_bed"),
|
||||
"staff_assigned": resource_allocation.get("assigned_staff")
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Queue for next available
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "resource_allocation",
|
||||
"status": "queued",
|
||||
"queue_position": "next_available",
|
||||
"error": str(e)
|
||||
})
|
||||
|
||||
workflow_result["status"] = "completed"
|
||||
return workflow_result
|
||||
|
||||
|
||||
# HIPAA-compliant data handling patterns
|
||||
class HIPAACompliancePatterns:
|
||||
"""
|
||||
Reusable patterns for HIPAA-compliant healthcare workflows
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def anonymize_patient_data(data: Dict) -> Dict:
|
||||
"""Remove PHI for analytics and reporting"""
|
||||
safe_fields = ["triage_level", "department", "wait_time", "resource_type"]
|
||||
return {k: v for k, v in data.items() if k in safe_fields}
|
||||
|
||||
@staticmethod
|
||||
def audit_log_access(user_id: str, patient_id: str, action: str, reason: str):
|
||||
"""Create audit trail for EMR access"""
|
||||
return {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"user_id": user_id,
|
||||
"patient_id": patient_id,
|
||||
"action": action,
|
||||
"reason": reason,
|
||||
"ip_address": "10.0.0.1", # Would be actual IP
|
||||
"session_id": "SEC-" + datetime.now().strftime('%Y%m%d%H%M%S')
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def encrypt_sensitive_data(data: Dict) -> Dict:
|
||||
"""Encrypt sensitive fields (placeholder for real encryption)"""
|
||||
sensitive_fields = ["ssn", "dob", "address", "phone"]
|
||||
encrypted = data.copy()
|
||||
for field in sensitive_fields:
|
||||
if field in encrypted:
|
||||
encrypted[field] = f"ENCRYPTED_{field.upper()}"
|
||||
return encrypted
|
||||
|
||||
|
||||
# Cross-department coordination patterns
|
||||
class HealthcareCoordinationPatterns:
|
||||
"""
|
||||
Patterns for coordinating across healthcare departments
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def coordinate_lab_orders(patient_id: str, triage_level: str) -> Agent:
|
||||
"""Create agent for lab order coordination"""
|
||||
return Agent(
|
||||
name="LabCoordinator",
|
||||
instructions=f"""Coordinate laboratory orders for patient {patient_id}.
|
||||
Priority level: {triage_level}.
|
||||
Ensure STAT orders for critical patients.
|
||||
Track specimen collection and result delivery.
|
||||
SLA: Order placement within 2 minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def coordinate_radiology(patient_id: str, imaging_type: str) -> Agent:
|
||||
"""Create agent for radiology coordination"""
|
||||
return Agent(
|
||||
name="RadiologyCoordinator",
|
||||
instructions=f"""Schedule {imaging_type} imaging for patient {patient_id}.
|
||||
Check for contrast allergies and pregnancy status.
|
||||
Coordinate with transport for patient movement.
|
||||
SLA: Schedule within 5 minutes for urgent cases."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def coordinate_pharmacy(patient_id: str, medications: List[str]) -> Agent:
|
||||
"""Create agent for pharmacy coordination"""
|
||||
return Agent(
|
||||
name="PharmacyCoordinator",
|
||||
instructions=f"""Verify and dispense medications for patient {patient_id}.
|
||||
Check for drug interactions and allergies.
|
||||
Ensure proper dosing based on patient parameters.
|
||||
SLA: Medication verification within 3 minutes."""
|
||||
)
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Process emergency patient
|
||||
patient_id = "PT-2024-00123"
|
||||
chief_complaint = "severe chest pain radiating to left arm"
|
||||
|
||||
result = emergency_triage_workflow(patient_id, chief_complaint)
|
||||
print("Triage workflow result:", result)
|
||||
|
||||
# Create specialized coordinators
|
||||
lab_coordinator = HealthcareCoordinationPatterns.coordinate_lab_orders(
|
||||
patient_id, TriageLevel.EMERGENT.value
|
||||
)
|
||||
|
||||
radiology_coordinator = HealthcareCoordinationPatterns.coordinate_radiology(
|
||||
patient_id, "chest_xray"
|
||||
)
|
||||
|
||||
pharmacy_coordinator = HealthcareCoordinationPatterns.coordinate_pharmacy(
|
||||
patient_id, ["aspirin", "nitroglycerin"]
|
||||
)
|
||||
|
||||
# HIPAA compliance example
|
||||
audit_log = HIPAACompliancePatterns.audit_log_access(
|
||||
"DR-001", patient_id, "EMR_ACCESS", "emergency_triage"
|
||||
)
|
||||
print("Audit log created:", audit_log)
|
||||
@@ -1,298 +0,0 @@
|
||||
"""
|
||||
Manufacturing Industry Template
|
||||
================================
|
||||
Order scheduling, inventory management, and quality inspection workflow
|
||||
Based on SRAO Framework patterns with 70% cross-industry reuse
|
||||
|
||||
Key agents:
|
||||
- ParseOrder: Extracts order details from various formats
|
||||
- CheckInventory: Validates material availability
|
||||
- OptimizeSchedule: Optimizes production scheduling
|
||||
- DefectDetect: Quality control and defect detection
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class OrderDetails(BaseModel):
|
||||
"""Structured order information"""
|
||||
order_id: str
|
||||
customer_id: str
|
||||
product_id: str
|
||||
quantity: int
|
||||
priority: str = "normal" # normal, high, urgent
|
||||
due_date: str
|
||||
requirements: Dict[str, Any] = {}
|
||||
|
||||
|
||||
class InventoryStatus(BaseModel):
|
||||
"""Material availability status"""
|
||||
material_id: str
|
||||
available_quantity: int
|
||||
reorder_level: int
|
||||
supplier_lead_time: int
|
||||
location: str
|
||||
|
||||
|
||||
class ProductionSchedule(BaseModel):
|
||||
"""Optimized production schedule"""
|
||||
schedule_id: str
|
||||
production_line: str
|
||||
start_time: str
|
||||
end_time: str
|
||||
assigned_workers: List[str]
|
||||
estimated_completion: str
|
||||
bottleneck_analysis: Dict[str, Any] = {}
|
||||
|
||||
|
||||
class QualityReport(BaseModel):
|
||||
"""Quality inspection results"""
|
||||
batch_id: str
|
||||
inspection_time: str
|
||||
defect_rate: float
|
||||
defect_types: List[str]
|
||||
passed: bool
|
||||
recommendations: List[str]
|
||||
|
||||
|
||||
# Tools for agents
|
||||
@tool
|
||||
def extract_order_details(text: str) -> Dict:
|
||||
"""Extract structured order information from unstructured text"""
|
||||
# Simulate order parsing logic
|
||||
return {
|
||||
"order_id": "ORD-2024-001",
|
||||
"customer_id": "CUST-123",
|
||||
"product_id": "PROD-456",
|
||||
"quantity": 100,
|
||||
"priority": "high",
|
||||
"due_date": "2024-03-15",
|
||||
"requirements": {"material": "steel", "finish": "polished"}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def check_material_availability(product_id: str, quantity: int) -> Dict:
|
||||
"""Check if materials are available for production"""
|
||||
# Simulate inventory check
|
||||
return {
|
||||
"material_id": "MAT-789",
|
||||
"available_quantity": 500,
|
||||
"reorder_level": 100,
|
||||
"supplier_lead_time": 7,
|
||||
"location": "Warehouse-A"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_optimal_schedule(order: Dict, inventory: Dict) -> Dict:
|
||||
"""Calculate optimal production schedule based on constraints"""
|
||||
# Simulate scheduling optimization
|
||||
return {
|
||||
"schedule_id": "SCH-2024-001",
|
||||
"production_line": "Line-3",
|
||||
"start_time": "2024-03-10T08:00:00",
|
||||
"end_time": "2024-03-14T17:00:00",
|
||||
"assigned_workers": ["Worker-001", "Worker-002"],
|
||||
"estimated_completion": "2024-03-14T16:30:00",
|
||||
"bottleneck_analysis": {
|
||||
"critical_path": "Assembly",
|
||||
"buffer_time": 2.5
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def perform_quality_inspection(batch_id: str) -> Dict:
|
||||
"""Perform automated quality inspection on production batch"""
|
||||
# Simulate quality control
|
||||
return {
|
||||
"batch_id": batch_id,
|
||||
"inspection_time": "2024-03-14T17:00:00",
|
||||
"defect_rate": 0.02,
|
||||
"defect_types": ["surface_scratch", "dimension_variance"],
|
||||
"passed": True,
|
||||
"recommendations": [
|
||||
"Adjust machine calibration on Line-3",
|
||||
"Increase inspection frequency for next batch"
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
# Agent Definitions with SLA requirements
|
||||
order_parser = Agent(
|
||||
name="ParseOrder",
|
||||
instructions="""You are an order parsing specialist. Extract and structure order information
|
||||
from various formats (email, PDF, API). Ensure all required fields are captured and validated.
|
||||
SLA: Process within 30 seconds per order.""",
|
||||
tools=[extract_order_details]
|
||||
)
|
||||
|
||||
inventory_checker = Agent(
|
||||
name="CheckInventory",
|
||||
instructions="""You are an inventory management specialist. Verify material availability,
|
||||
check reorder points, and identify potential supply chain issues.
|
||||
SLA: Real-time response within 5 seconds.""",
|
||||
tools=[check_material_availability]
|
||||
)
|
||||
|
||||
schedule_optimizer = Agent(
|
||||
name="OptimizeSchedule",
|
||||
instructions="""You are a production scheduling expert. Optimize production schedules
|
||||
based on order priority, resource availability, and constraints. Minimize idle time
|
||||
and maximize throughput.
|
||||
SLA: Generate schedule within 2 minutes for complex orders.""",
|
||||
tools=[calculate_optimal_schedule]
|
||||
)
|
||||
|
||||
quality_inspector = Agent(
|
||||
name="DefectDetect",
|
||||
instructions="""You are a quality control specialist. Perform automated inspections,
|
||||
detect defects using vision analysis, and provide improvement recommendations.
|
||||
SLA: Complete inspection within 1 minute per batch.""",
|
||||
tools=[perform_quality_inspection]
|
||||
)
|
||||
|
||||
|
||||
# Workflow with fallback strategies
|
||||
def manufacturing_workflow(order_text: str):
|
||||
"""
|
||||
Complete manufacturing workflow from order to quality control
|
||||
Includes fallback strategies for each critical step
|
||||
"""
|
||||
|
||||
# Step 1: Parse order with fallback
|
||||
try:
|
||||
order_details = order_parser.start(f"Parse this order: {order_text}")
|
||||
if not order_details:
|
||||
# Fallback: Manual review queue
|
||||
return {"status": "manual_review_required", "reason": "order_parsing_failed"}
|
||||
except Exception as e:
|
||||
return {"status": "error", "stage": "order_parsing", "error": str(e)}
|
||||
|
||||
# Step 2: Check inventory with fallback
|
||||
try:
|
||||
inventory_status = inventory_checker.start(
|
||||
f"Check materials for order: {order_details}"
|
||||
)
|
||||
if not inventory_status:
|
||||
# Fallback: Alternative supplier check
|
||||
return {"status": "alternative_supplier_needed", "order": order_details}
|
||||
except Exception as e:
|
||||
# Fallback: Conservative estimate with safety margin
|
||||
inventory_status = {"estimated": True, "safety_margin": 1.5}
|
||||
|
||||
# Step 3: Optimize schedule with fallback
|
||||
try:
|
||||
schedule = schedule_optimizer.start(
|
||||
f"Create schedule for order {order_details} with inventory {inventory_status}"
|
||||
)
|
||||
if not schedule:
|
||||
# Fallback: Standard scheduling template
|
||||
schedule = {"template": "standard", "priority": "normal"}
|
||||
except Exception as e:
|
||||
# Fallback: Queue for next available slot
|
||||
schedule = {"status": "queued", "estimated_start": "next_available"}
|
||||
|
||||
# Step 4: Quality inspection with fallback
|
||||
try:
|
||||
quality_report = quality_inspector.start(
|
||||
f"Inspect batch for schedule {schedule}"
|
||||
)
|
||||
if not quality_report:
|
||||
# Fallback: Manual inspection required
|
||||
quality_report = {"requires_manual": True, "inspector_assigned": "QC-Team-1"}
|
||||
except Exception as e:
|
||||
# Fallback: Quarantine for review
|
||||
quality_report = {"status": "quarantined", "review_required": True}
|
||||
|
||||
return {
|
||||
"status": "completed",
|
||||
"order": order_details,
|
||||
"inventory": inventory_status,
|
||||
"schedule": schedule,
|
||||
"quality": quality_report
|
||||
}
|
||||
|
||||
|
||||
# Cross-industry reusable patterns (70% reuse)
|
||||
class IndustryAgentPattern:
|
||||
"""
|
||||
Base pattern reusable across industries
|
||||
Provides common agent capabilities that can be specialized
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def create_data_parser(name: str, domain: str, sla_seconds: int = 30):
|
||||
"""Create a data parsing agent for any domain"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {domain} data parsing specialist.
|
||||
Extract and structure information from various formats.
|
||||
Validate all required fields according to {domain} standards.
|
||||
SLA: Process within {sla_seconds} seconds."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_resource_checker(name: str, resource_type: str, sla_seconds: int = 5):
|
||||
"""Create a resource availability checker for any resource type"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {resource_type} availability specialist.
|
||||
Verify {resource_type} availability and identify constraints.
|
||||
Provide real-time status and alternative options if needed.
|
||||
SLA: Response within {sla_seconds} seconds."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_optimizer(name: str, optimization_target: str, sla_minutes: int = 2):
|
||||
"""Create an optimization agent for any target metric"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are an optimization expert for {optimization_target}.
|
||||
Find optimal solutions considering all constraints and priorities.
|
||||
Minimize waste and maximize efficiency.
|
||||
SLA: Generate solution within {sla_minutes} minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_inspector(name: str, inspection_type: str, sla_minutes: int = 1):
|
||||
"""Create an inspection agent for any quality metric"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {inspection_type} inspection specialist.
|
||||
Perform automated analysis and detect anomalies.
|
||||
Provide actionable recommendations for improvement.
|
||||
SLA: Complete inspection within {sla_minutes} minute(s)."""
|
||||
)
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Create a manufacturing workflow instance
|
||||
order = "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
|
||||
|
||||
# Option 1: Use specialized agents
|
||||
result = manufacturing_workflow(order)
|
||||
print("Manufacturing workflow result:", result)
|
||||
|
||||
# Option 2: Use reusable patterns for other industries
|
||||
# These patterns can be adapted for Energy, Healthcare, Agriculture, Transportation
|
||||
energy_parser = IndustryAgentPattern.create_data_parser(
|
||||
"EnergyDataParser", "wind farm telemetry", sla_seconds=10
|
||||
)
|
||||
|
||||
healthcare_checker = IndustryAgentPattern.create_resource_checker(
|
||||
"BedAvailability", "hospital bed", sla_seconds=3
|
||||
)
|
||||
|
||||
agriculture_optimizer = IndustryAgentPattern.create_optimizer(
|
||||
"IrrigationOptimizer", "water usage", sla_minutes=5
|
||||
)
|
||||
|
||||
transport_inspector = IndustryAgentPattern.create_inspector(
|
||||
"TunnelSafety", "structural integrity", sla_minutes=2
|
||||
)
|
||||
@@ -1,599 +0,0 @@
|
||||
"""
|
||||
Transportation Industry Template
|
||||
================================
|
||||
Tunnel safety monitoring and infrastructure management workflow
|
||||
Based on SRAO Framework with LiDAR and sensor fusion
|
||||
|
||||
Key agents:
|
||||
- LiDARFusion: Processes LiDAR point cloud data
|
||||
- DisplacementCalculator: Calculates structural displacement
|
||||
- HeatmapGenerator: Generates safety heatmaps
|
||||
- MaintenancePlanner: Plans infrastructure maintenance
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Tuple, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
from enum import Enum
|
||||
import math
|
||||
|
||||
|
||||
# Safety levels for infrastructure
|
||||
class SafetyLevel(str, Enum):
|
||||
SAFE = "safe"
|
||||
CAUTION = "caution"
|
||||
WARNING = "warning"
|
||||
DANGER = "danger"
|
||||
CRITICAL = "critical"
|
||||
|
||||
|
||||
# Infrastructure types
|
||||
class InfrastructureType(str, Enum):
|
||||
TUNNEL = "tunnel"
|
||||
BRIDGE = "bridge"
|
||||
HIGHWAY = "highway"
|
||||
RAILWAY = "railway"
|
||||
AIRPORT = "airport"
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class LiDARScan(BaseModel):
|
||||
"""LiDAR scan data for infrastructure"""
|
||||
scan_id: str
|
||||
infrastructure_id: str
|
||||
scan_time: str
|
||||
point_cloud_size: int # Number of points
|
||||
scan_resolution: float # Points per square meter
|
||||
coverage_area: float # Square meters
|
||||
anomaly_points: List[Tuple[float, float, float]] # XYZ coordinates
|
||||
reference_baseline: Optional[Dict[str, Any]]
|
||||
|
||||
|
||||
class DisplacementAnalysis(BaseModel):
|
||||
"""Structural displacement analysis"""
|
||||
analysis_id: str
|
||||
infrastructure_id: str
|
||||
analysis_time: str
|
||||
max_displacement: float # millimeters
|
||||
displacement_vector: Tuple[float, float, float] # XYZ displacement
|
||||
critical_zones: List[Dict[str, Any]]
|
||||
settlement_rate: float # mm/month
|
||||
tilt_angle: float # degrees
|
||||
safety_factor: float
|
||||
|
||||
|
||||
class SafetyHeatmap(BaseModel):
|
||||
"""Infrastructure safety heatmap"""
|
||||
heatmap_id: str
|
||||
infrastructure_id: str
|
||||
generation_time: str
|
||||
grid_resolution: float # meters
|
||||
safety_scores: List[List[float]] # 2D grid of safety scores
|
||||
critical_areas: List[Dict[str, Any]]
|
||||
overall_safety: SafetyLevel
|
||||
risk_trends: Dict[str, Any]
|
||||
|
||||
|
||||
class MaintenanceSchedule(BaseModel):
|
||||
"""Maintenance planning schedule"""
|
||||
schedule_id: str
|
||||
infrastructure_id: str
|
||||
maintenance_type: str # preventive, corrective, emergency
|
||||
priority_level: str # low, medium, high, critical
|
||||
scheduled_date: str
|
||||
estimated_duration: int # hours
|
||||
required_resources: List[str]
|
||||
traffic_impact: str
|
||||
cost_estimate: float
|
||||
|
||||
|
||||
# Transportation-specific tools
|
||||
@tool
|
||||
def process_lidar_scan(infrastructure_id: str, scan_type: str = "full") -> Dict:
|
||||
"""Process LiDAR point cloud data for structural analysis"""
|
||||
# Simulate LiDAR processing
|
||||
return {
|
||||
"scan_id": f"LIDAR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": infrastructure_id,
|
||||
"scan_time": datetime.now().isoformat(),
|
||||
"point_cloud_size": 5000000, # 5 million points
|
||||
"scan_resolution": 100.0, # points/m²
|
||||
"coverage_area": 50000.0, # m²
|
||||
"anomaly_points": [
|
||||
(10.5, 20.3, 5.1),
|
||||
(15.2, 25.8, 5.3),
|
||||
(20.1, 30.5, 5.5)
|
||||
],
|
||||
"reference_baseline": {
|
||||
"date": "2024-01-01",
|
||||
"baseline_id": "BSL-001"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_displacement(current_scan: Dict, baseline_scan: Dict) -> Dict:
|
||||
"""Calculate structural displacement from LiDAR scans"""
|
||||
# Simulate displacement calculation
|
||||
anomalies = current_scan.get("anomaly_points", [])
|
||||
|
||||
if len(anomalies) > 5:
|
||||
max_displacement = 15.0
|
||||
safety_factor = 0.6
|
||||
safety_level = SafetyLevel.WARNING
|
||||
elif len(anomalies) > 2:
|
||||
max_displacement = 8.0
|
||||
safety_factor = 0.8
|
||||
safety_level = SafetyLevel.CAUTION
|
||||
else:
|
||||
max_displacement = 3.0
|
||||
safety_factor = 0.95
|
||||
safety_level = SafetyLevel.SAFE
|
||||
|
||||
return {
|
||||
"analysis_id": f"DISP-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": current_scan["infrastructure_id"],
|
||||
"analysis_time": datetime.now().isoformat(),
|
||||
"max_displacement": max_displacement,
|
||||
"displacement_vector": (2.5, 1.8, max_displacement),
|
||||
"critical_zones": [
|
||||
{
|
||||
"zone_id": "CZ-001",
|
||||
"location": "tunnel_crown",
|
||||
"displacement": max_displacement * 0.8,
|
||||
"risk": "high" if max_displacement > 10 else "medium"
|
||||
}
|
||||
],
|
||||
"settlement_rate": max_displacement / 30, # mm/month
|
||||
"tilt_angle": math.degrees(math.atan(max_displacement / 1000)),
|
||||
"safety_factor": safety_factor
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def generate_safety_heatmap(displacement_data: Dict, sensor_data: List[Dict]) -> Dict:
|
||||
"""Generate safety heatmap visualization for infrastructure"""
|
||||
# Simulate heatmap generation
|
||||
safety_factor = displacement_data.get("safety_factor", 1.0)
|
||||
|
||||
# Create grid (simplified 10x10)
|
||||
grid_size = 10
|
||||
safety_grid = []
|
||||
critical_areas = []
|
||||
|
||||
for i in range(grid_size):
|
||||
row = []
|
||||
for j in range(grid_size):
|
||||
# Generate safety score based on position and displacement
|
||||
base_score = safety_factor
|
||||
distance_factor = math.sqrt((i-5)**2 + (j-5)**2) / 10
|
||||
safety_score = min(1.0, base_score + (0.2 * distance_factor))
|
||||
row.append(safety_score)
|
||||
|
||||
if safety_score < 0.7:
|
||||
critical_areas.append({
|
||||
"grid_position": (i, j),
|
||||
"safety_score": safety_score,
|
||||
"recommended_action": "immediate_inspection"
|
||||
})
|
||||
safety_grid.append(row)
|
||||
|
||||
# Determine overall safety
|
||||
avg_safety = sum(sum(row) for row in safety_grid) / (grid_size * grid_size)
|
||||
if avg_safety > 0.9:
|
||||
overall = SafetyLevel.SAFE
|
||||
elif avg_safety > 0.8:
|
||||
overall = SafetyLevel.CAUTION
|
||||
elif avg_safety > 0.7:
|
||||
overall = SafetyLevel.WARNING
|
||||
else:
|
||||
overall = SafetyLevel.DANGER
|
||||
|
||||
return {
|
||||
"heatmap_id": f"HEAT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": displacement_data["infrastructure_id"],
|
||||
"generation_time": datetime.now().isoformat(),
|
||||
"grid_resolution": 5.0, # meters
|
||||
"safety_scores": safety_grid,
|
||||
"critical_areas": critical_areas,
|
||||
"overall_safety": overall.value,
|
||||
"risk_trends": {
|
||||
"trend": "deteriorating" if avg_safety < 0.8 else "stable",
|
||||
"rate": -0.02 if avg_safety < 0.8 else 0.0
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def plan_maintenance(infrastructure_id: str, safety_analysis: Dict, traffic_data: Dict) -> Dict:
|
||||
"""Plan maintenance based on safety analysis and traffic patterns"""
|
||||
safety_level = safety_analysis.get("overall_safety", "safe")
|
||||
|
||||
# Determine maintenance urgency
|
||||
if safety_level in ["danger", "critical"]:
|
||||
maintenance_type = "emergency"
|
||||
priority = "critical"
|
||||
days_until = 1
|
||||
duration = 48
|
||||
elif safety_level == "warning":
|
||||
maintenance_type = "corrective"
|
||||
priority = "high"
|
||||
days_until = 7
|
||||
duration = 24
|
||||
elif safety_level == "caution":
|
||||
maintenance_type = "preventive"
|
||||
priority = "medium"
|
||||
days_until = 30
|
||||
duration = 12
|
||||
else:
|
||||
maintenance_type = "preventive"
|
||||
priority = "low"
|
||||
days_until = 90
|
||||
duration = 8
|
||||
|
||||
# Traffic impact assessment
|
||||
peak_traffic = traffic_data.get("peak_volume", 1000)
|
||||
if peak_traffic > 5000:
|
||||
traffic_impact = "severe"
|
||||
cost_multiplier = 2.0
|
||||
elif peak_traffic > 2000:
|
||||
traffic_impact = "moderate"
|
||||
cost_multiplier = 1.5
|
||||
else:
|
||||
traffic_impact = "minimal"
|
||||
cost_multiplier = 1.0
|
||||
|
||||
return {
|
||||
"schedule_id": f"MAINT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": infrastructure_id,
|
||||
"maintenance_type": maintenance_type,
|
||||
"priority_level": priority,
|
||||
"scheduled_date": (datetime.now() + timedelta(days=days_until)).isoformat(),
|
||||
"estimated_duration": duration,
|
||||
"required_resources": [
|
||||
"inspection_team",
|
||||
"repair_crew",
|
||||
"safety_equipment",
|
||||
"traffic_control"
|
||||
],
|
||||
"traffic_impact": traffic_impact,
|
||||
"cost_estimate": 50000 * cost_multiplier * (duration / 24)
|
||||
}
|
||||
|
||||
|
||||
# Transportation agent definitions
|
||||
lidar_agent = Agent(
|
||||
name="LiDARFusion",
|
||||
instructions="""You are a LiDAR data processing specialist for infrastructure.
|
||||
Process point cloud data from mobile and terrestrial LiDAR scanners.
|
||||
Perform data fusion from multiple sensor sources.
|
||||
Identify structural anomalies and deformations.
|
||||
SLA: Process scan data within 5 minutes.""",
|
||||
tools=[process_lidar_scan]
|
||||
)
|
||||
|
||||
displacement_agent = Agent(
|
||||
name="DisplacementCalculator",
|
||||
instructions="""You are a structural displacement analysis expert.
|
||||
Calculate precise displacement measurements from temporal scans.
|
||||
Analyze settlement patterns and structural movements.
|
||||
Predict future displacement trends using ML models.
|
||||
SLA: Complete analysis within 2 minutes.""",
|
||||
tools=[calculate_displacement]
|
||||
)
|
||||
|
||||
heatmap_agent = Agent(
|
||||
name="HeatmapGenerator",
|
||||
instructions="""You are a safety visualization specialist.
|
||||
Generate intuitive safety heatmaps for infrastructure monitoring.
|
||||
Integrate multiple data sources for comprehensive risk assessment.
|
||||
Highlight critical areas requiring immediate attention.
|
||||
SLA: Generate heatmap within 1 minute.""",
|
||||
tools=[generate_safety_heatmap]
|
||||
)
|
||||
|
||||
maintenance_agent = Agent(
|
||||
name="MaintenancePlanner",
|
||||
instructions="""You are an infrastructure maintenance planning expert.
|
||||
Schedule maintenance based on structural health and traffic patterns.
|
||||
Optimize maintenance windows to minimize disruption.
|
||||
Coordinate resources and estimate costs.
|
||||
SLA: Create maintenance plan within 3 minutes.""",
|
||||
tools=[plan_maintenance]
|
||||
)
|
||||
|
||||
|
||||
# Transportation infrastructure monitoring workflow
|
||||
def infrastructure_monitoring_workflow(
|
||||
infrastructure_ids: List[str],
|
||||
infrastructure_type: InfrastructureType,
|
||||
traffic_data: Dict
|
||||
):
|
||||
"""
|
||||
Complete infrastructure monitoring workflow from scanning to maintenance
|
||||
Includes safety assessment and predictive maintenance
|
||||
"""
|
||||
|
||||
monitoring_results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"infrastructure_type": infrastructure_type.value,
|
||||
"structures_monitored": len(infrastructure_ids),
|
||||
"safety_assessments": [],
|
||||
"maintenance_required": [],
|
||||
"emergency_alerts": [],
|
||||
"network_health_score": 0.0
|
||||
}
|
||||
|
||||
total_safety_score = 0.0
|
||||
|
||||
for infra_id in infrastructure_ids:
|
||||
try:
|
||||
# Step 1: LiDAR scanning
|
||||
lidar_scan = lidar_agent.start(
|
||||
f"Process LiDAR scan for {infrastructure_type.value} {infra_id}"
|
||||
)
|
||||
|
||||
# Step 2: Displacement analysis
|
||||
# Get baseline (would be from database in real scenario)
|
||||
baseline = {"scan_id": "BSL-001", "point_cloud": []}
|
||||
|
||||
displacement_analysis = displacement_agent.start(
|
||||
f"Calculate displacement for scan: {lidar_scan} against baseline: {baseline}"
|
||||
)
|
||||
|
||||
# Step 3: Generate safety heatmap
|
||||
sensor_data = [] # Would include IoT sensor readings
|
||||
safety_heatmap = heatmap_agent.start(
|
||||
f"Generate heatmap for displacement: {displacement_analysis} "
|
||||
f"with sensors: {sensor_data}"
|
||||
)
|
||||
|
||||
monitoring_results["safety_assessments"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"safety_level": safety_heatmap.get("overall_safety"),
|
||||
"max_displacement": displacement_analysis.get("max_displacement"),
|
||||
"critical_zones": len(safety_heatmap.get("critical_areas", []))
|
||||
})
|
||||
|
||||
# Check for emergency conditions
|
||||
if safety_heatmap.get("overall_safety") in ["danger", "critical"]:
|
||||
monitoring_results["emergency_alerts"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"alert_level": "emergency",
|
||||
"safety_status": safety_heatmap["overall_safety"],
|
||||
"immediate_action": "close_to_traffic",
|
||||
"notification_sent": True
|
||||
})
|
||||
|
||||
# Step 4: Emergency maintenance planning
|
||||
maintenance_plan = maintenance_agent.start(
|
||||
f"Plan emergency maintenance for {infra_id} "
|
||||
f"with safety: {safety_heatmap} and traffic: {traffic_data}"
|
||||
)
|
||||
monitoring_results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
elif safety_heatmap.get("overall_safety") in ["warning", "caution"]:
|
||||
# Regular maintenance planning
|
||||
maintenance_plan = maintenance_agent.start(
|
||||
f"Plan maintenance for {infra_id} "
|
||||
f"with safety: {safety_heatmap} and traffic: {traffic_data}"
|
||||
)
|
||||
monitoring_results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
# Calculate safety score contribution
|
||||
safety_mapping = {
|
||||
"safe": 1.0, "caution": 0.8, "warning": 0.6,
|
||||
"danger": 0.3, "critical": 0.1
|
||||
}
|
||||
total_safety_score += safety_mapping.get(
|
||||
safety_heatmap.get("overall_safety", "safe"), 0.5
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Manual inspection
|
||||
monitoring_results["emergency_alerts"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"alert_level": "system_failure",
|
||||
"error": str(e),
|
||||
"action": "dispatch_manual_inspection_team"
|
||||
})
|
||||
|
||||
# Calculate network health score
|
||||
if infrastructure_ids:
|
||||
monitoring_results["network_health_score"] = (
|
||||
total_safety_score / len(infrastructure_ids) * 100
|
||||
)
|
||||
|
||||
return monitoring_results
|
||||
|
||||
|
||||
# Multi-modal transportation patterns
|
||||
class MultiModalTransportPatterns:
|
||||
"""
|
||||
Patterns for different transportation infrastructure types
|
||||
Demonstrates cross-industry reuse for transportation sector
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_bridge_monitoring() -> Agent:
|
||||
"""Adapt tunnel monitoring for bridge structures"""
|
||||
return Agent(
|
||||
name="BridgeMonitor",
|
||||
instructions="""Monitor bridge structural health using sensors.
|
||||
Track deck deflection, cable tension, and vibration patterns.
|
||||
Detect fatigue cracks and corrosion.
|
||||
Consider wind and seismic loads.
|
||||
SLA: Real-time monitoring with 10-second updates."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_railway_tracks() -> Agent:
|
||||
"""Adapt for railway track monitoring"""
|
||||
return Agent(
|
||||
name="RailwayMonitor",
|
||||
instructions="""Monitor railway track geometry and condition.
|
||||
Detect rail defects, gauge variations, and ballast degradation.
|
||||
Analyze wheel-rail interaction forces.
|
||||
Predict track maintenance needs.
|
||||
SLA: Process track inspection data within 3 minutes per km."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_airport_runways() -> Agent:
|
||||
"""Adapt for airport runway monitoring"""
|
||||
return Agent(
|
||||
name="RunwayMonitor",
|
||||
instructions="""Monitor airport runway surface conditions.
|
||||
Detect FOD (Foreign Object Debris) and surface irregularities.
|
||||
Assess pavement condition and friction levels.
|
||||
Monitor drainage and lighting systems.
|
||||
SLA: Complete runway scan within 10 minutes."""
|
||||
)
|
||||
|
||||
|
||||
# Intelligent traffic management integration
|
||||
class TrafficManagementPatterns:
|
||||
"""
|
||||
Patterns for integrating with intelligent traffic systems
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def optimize_traffic_flow(maintenance_window: Dict, traffic_patterns: Dict) -> Dict:
|
||||
"""Optimize traffic flow during maintenance"""
|
||||
peak_hours = traffic_patterns.get("peak_hours", [7, 9, 17, 19])
|
||||
maintenance_start = maintenance_window.get("start_time", "02:00")
|
||||
|
||||
# Calculate optimal diversion routes
|
||||
return {
|
||||
"strategy": "dynamic_routing",
|
||||
"diversion_routes": [
|
||||
{"route_id": "ALT-1", "capacity": 0.6, "added_time": 15},
|
||||
{"route_id": "ALT-2", "capacity": 0.3, "added_time": 20}
|
||||
],
|
||||
"lane_management": {
|
||||
"reversible_lanes": True,
|
||||
"peak_direction": "inbound" if int(maintenance_start[:2]) < 12 else "outbound"
|
||||
},
|
||||
"public_transport": {
|
||||
"increase_frequency": True,
|
||||
"additional_services": 4
|
||||
},
|
||||
"estimated_delay": 10 # minutes
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def incident_response_plan(incident_type: str, location: Dict) -> Dict:
|
||||
"""Generate incident response plan"""
|
||||
response_times = {
|
||||
"accident": 5,
|
||||
"breakdown": 10,
|
||||
"infrastructure_failure": 2,
|
||||
"weather_hazard": 15
|
||||
}
|
||||
|
||||
return {
|
||||
"incident_id": f"INC-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"response_time": response_times.get(incident_type, 10),
|
||||
"resources_dispatched": [
|
||||
r for r in [
|
||||
"emergency_response_team",
|
||||
"traffic_control_unit",
|
||||
"maintenance_crew" if "infrastructure" in incident_type else None
|
||||
] if r is not None
|
||||
],
|
||||
"traffic_management": {
|
||||
"lane_closures": 2,
|
||||
"speed_reduction": 30, # km/h
|
||||
"message_signs": ["Incident ahead", "Reduce speed", "Merge left"]
|
||||
},
|
||||
"estimated_clearance": 45 # minutes
|
||||
}
|
||||
|
||||
|
||||
# Predictive maintenance patterns
|
||||
class PredictiveMaintenancePatterns:
|
||||
"""
|
||||
ML-based predictive maintenance for transportation infrastructure
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def predict_failure_probability(
|
||||
displacement_trend: List[float],
|
||||
environmental_factors: Dict
|
||||
) -> float:
|
||||
"""Predict probability of structural failure"""
|
||||
# Simplified prediction model
|
||||
trend_slope = (displacement_trend[-1] - displacement_trend[0]) / len(displacement_trend)
|
||||
temperature_factor = abs(environmental_factors.get("temp_variation", 0)) / 50
|
||||
moisture_factor = environmental_factors.get("humidity", 50) / 100
|
||||
|
||||
base_probability = 0.1
|
||||
trend_contribution = max(0, trend_slope * 10)
|
||||
env_contribution = (temperature_factor + moisture_factor) * 0.2
|
||||
|
||||
return min(1.0, base_probability + trend_contribution + env_contribution)
|
||||
|
||||
@staticmethod
|
||||
def optimize_maintenance_schedule(
|
||||
infrastructure_conditions: List[Dict],
|
||||
budget_constraint: float
|
||||
) -> List[Dict]:
|
||||
"""Optimize maintenance schedule across infrastructure network"""
|
||||
# Sort by urgency (safety_factor * cost_efficiency)
|
||||
prioritized = sorted(
|
||||
infrastructure_conditions,
|
||||
key=lambda x: (1 - x.get("safety_factor", 1)) * (1 / x.get("cost", 1)),
|
||||
reverse=True
|
||||
)
|
||||
|
||||
scheduled = []
|
||||
total_cost = 0
|
||||
|
||||
for infra in prioritized:
|
||||
if total_cost + infra.get("cost", 0) <= budget_constraint:
|
||||
scheduled.append({
|
||||
"infrastructure_id": infra["id"],
|
||||
"scheduled_date": infra["recommended_date"],
|
||||
"priority": "high" if infra["safety_factor"] < 0.7 else "medium"
|
||||
})
|
||||
total_cost += infra.get("cost", 0)
|
||||
|
||||
return scheduled
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor tunnel network
|
||||
tunnel_ids = [f"TUN-{i:03d}" for i in range(1, 6)]
|
||||
traffic = {
|
||||
"peak_volume": 3000,
|
||||
"off_peak_volume": 800,
|
||||
"peak_hours": [7, 9, 17, 19]
|
||||
}
|
||||
|
||||
result = infrastructure_monitoring_workflow(
|
||||
tunnel_ids,
|
||||
InfrastructureType.TUNNEL,
|
||||
traffic
|
||||
)
|
||||
print("Infrastructure monitoring result:", result)
|
||||
|
||||
# Multi-modal adaptation examples
|
||||
bridge_monitor = MultiModalTransportPatterns.adapt_for_bridge_monitoring()
|
||||
railway_monitor = MultiModalTransportPatterns.adapt_for_railway_tracks()
|
||||
runway_monitor = MultiModalTransportPatterns.adapt_for_airport_runways()
|
||||
|
||||
# Traffic management example
|
||||
maintenance = {"start_time": "22:00", "duration": 8}
|
||||
traffic_plan = TrafficManagementPatterns.optimize_traffic_flow(maintenance, traffic)
|
||||
print("Traffic optimization plan:", traffic_plan)
|
||||
|
||||
# Predictive maintenance example
|
||||
displacement_history = [2.0, 2.3, 2.8, 3.5, 4.3] # mm over months
|
||||
environment = {"temp_variation": 30, "humidity": 75}
|
||||
|
||||
failure_prob = PredictiveMaintenancePatterns.predict_failure_probability(
|
||||
displacement_history, environment
|
||||
)
|
||||
print(f"Failure probability: {failure_prob:.2%}")
|
||||
@@ -214,13 +214,8 @@ def example_subagent_delegation():
|
||||
assert hasattr(agent, "delegate"), "Agent should have delegate method"
|
||||
assert callable(agent.delegate), "delegate should be callable"
|
||||
|
||||
# Create a subagent using the public profile API
|
||||
from praisonaiagents.agents.profiles import BUILTIN_PROFILES, get_profile
|
||||
explorer_profile = get_profile("explorer") if "explorer" in BUILTIN_PROFILES else None
|
||||
subagent = Agent(
|
||||
name="subagent_explorer",
|
||||
instructions=explorer_profile.system_prompt if explorer_profile else "You are an explorer assistant.",
|
||||
)
|
||||
# Check _create_subagent method
|
||||
subagent = agent._create_subagent("explorer")
|
||||
print(f"Created subagent: {subagent.name}")
|
||||
print(f"Subagent instructions: {subagent.instructions[:50]}...")
|
||||
|
||||
|
||||
@@ -6,18 +6,10 @@ It includes self-reflection for improving code quality and multiple specialized
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, Task, AgentTeam
|
||||
from praisonaiagents.tools import CodeInterpreter
|
||||
|
||||
def run_python_code(code: str) -> str:
|
||||
"""Execute Python code safely and return stdout or errors."""
|
||||
import io
|
||||
import contextlib
|
||||
try:
|
||||
buf = io.StringIO()
|
||||
with contextlib.redirect_stdout(buf):
|
||||
exec(code, {"__builtins__": __builtins__})
|
||||
return buf.getvalue() or "Executed successfully (no output)"
|
||||
except Exception as e:
|
||||
return f"Execution error: {e}"
|
||||
# Initialize code execution tool
|
||||
code_interpreter = CodeInterpreter()
|
||||
|
||||
# Custom code analysis tool
|
||||
def analyze_code_complexity(code: str) -> str:
|
||||
@@ -40,7 +32,9 @@ code_writer = Agent(
|
||||
goal="Write clean, efficient, and well-documented Python code",
|
||||
backstory="You are a senior Python developer with 10+ years of experience in writing production-quality code.",
|
||||
instructions="Write Python code that follows PEP 8 standards, includes proper error handling, and has clear documentation.",
|
||||
output="silent",
|
||||
reflection=True,
|
||||
|
||||
|
||||
)
|
||||
|
||||
code_reviewer = Agent(
|
||||
@@ -58,7 +52,7 @@ code_executor = Agent(
|
||||
goal="Safely execute and test Python code",
|
||||
backstory="You are responsible for running code and reporting results or errors.",
|
||||
instructions="Execute the provided code safely and report the output or any errors encountered.",
|
||||
tools=[run_python_code]
|
||||
tools=[code_interpreter]
|
||||
)
|
||||
|
||||
# Example tasks
|
||||
@@ -93,7 +87,7 @@ def demonstrate_code_agent():
|
||||
workflow = AgentTeam(
|
||||
agents=[code_writer, code_reviewer, code_executor],
|
||||
tasks=[write_task, review_task, execute_task],
|
||||
process="sequential", output="silent"
|
||||
process="sequential", output="verbose"
|
||||
)
|
||||
|
||||
# Run the workflow
|
||||
@@ -112,8 +106,10 @@ general_code_agent = Agent(
|
||||
3. Explain code concepts
|
||||
4. Refactor code for better performance
|
||||
5. Add tests and documentation""",
|
||||
tools=[run_python_code, analyze_code_complexity],
|
||||
output="silent",
|
||||
tools=[code_interpreter, analyze_code_complexity],
|
||||
reflection=True,
|
||||
|
||||
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -41,25 +41,21 @@ def calculate_statistics(numbers: list) -> str:
|
||||
"""Calculate basic statistics for a list of numbers."""
|
||||
if not numbers:
|
||||
return "No numbers provided"
|
||||
try:
|
||||
nums = [float(x) for x in numbers]
|
||||
except (TypeError, ValueError):
|
||||
return "Error: all values must be numbers"
|
||||
|
||||
n = len(nums)
|
||||
mean = sum(nums) / n
|
||||
sorted_nums = sorted(nums)
|
||||
|
||||
n = len(numbers)
|
||||
mean = sum(numbers) / n
|
||||
sorted_nums = sorted(numbers)
|
||||
median = sorted_nums[n//2] if n % 2 else (sorted_nums[n//2-1] + sorted_nums[n//2]) / 2
|
||||
variance = sum((x - mean)**2 for x in nums) / n
|
||||
variance = sum((x - mean)**2 for x in numbers) / n
|
||||
std_dev = math.sqrt(variance)
|
||||
|
||||
|
||||
return f"""Statistics:
|
||||
- Count: {n}
|
||||
- Mean: {mean:.4f}
|
||||
- Median: {median:.4f}
|
||||
- Standard Deviation: {std_dev:.4f}
|
||||
- Min: {min(nums)}
|
||||
- Max: {max(nums)}"""
|
||||
- Min: {min(numbers)}
|
||||
- Max: {max(numbers)}"""
|
||||
|
||||
# Create specialized math agents
|
||||
calculation_agent = Agent(
|
||||
@@ -70,7 +66,8 @@ calculation_agent = Agent(
|
||||
instructions="Perform the requested calculations step by step, showing your work clearly.",
|
||||
tools=[basic_calculator, solve_quadratic, calculate_statistics],
|
||||
reflection=True,
|
||||
output="silent",
|
||||
|
||||
|
||||
)
|
||||
|
||||
problem_solver_agent = Agent(
|
||||
@@ -85,7 +82,8 @@ problem_solver_agent = Agent(
|
||||
4. Show each step of the solution
|
||||
5. Verify the answer makes sense""",
|
||||
reflection=True,
|
||||
output="silent",
|
||||
|
||||
|
||||
)
|
||||
|
||||
math_tutor_agent = Agent(
|
||||
@@ -93,8 +91,7 @@ math_tutor_agent = Agent(
|
||||
role="Mathematics tutor and explainer",
|
||||
goal="Explain mathematical concepts clearly and help users understand math",
|
||||
backstory="You are a patient math tutor who can explain concepts at any level from elementary to advanced.",
|
||||
instructions="Explain mathematical concepts using simple language, provide examples, and check for understanding.",
|
||||
output="silent",
|
||||
instructions="Explain mathematical concepts using simple language, provide examples, and check for understanding."
|
||||
)
|
||||
|
||||
# Example workflow for solving complex problems
|
||||
@@ -129,8 +126,7 @@ def solve_math_problem_workflow():
|
||||
workflow = AgentTeam(
|
||||
agents=[problem_solver_agent, calculation_agent, math_tutor_agent],
|
||||
tasks=[understand_task, solve_task, verify_task],
|
||||
process="sequential",
|
||||
output="silent",
|
||||
process="sequential", output="verbose"
|
||||
)
|
||||
|
||||
return workflow.start()
|
||||
@@ -152,7 +148,8 @@ math_assistant = Agent(
|
||||
Always show your work step by step.""",
|
||||
tools=[basic_calculator, solve_quadratic, calculate_statistics],
|
||||
reflection=True,
|
||||
output="silent",
|
||||
|
||||
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -67,11 +67,7 @@ def main():
|
||||
|
||||
# 4. Subagent delegation
|
||||
print("\n4. Subagent Delegation:")
|
||||
explorer_profile = get_profile("explorer") if "explorer" in BUILTIN_PROFILES else None
|
||||
subagent = Agent(
|
||||
name="subagent_explorer",
|
||||
instructions=explorer_profile.system_prompt if explorer_profile else "You are an explorer assistant.",
|
||||
)
|
||||
subagent = agent._create_subagent("explorer")
|
||||
print(f" Created subagent: {subagent.name}")
|
||||
print(f" Profile: explorer (read-only)")
|
||||
|
||||
|
||||
@@ -1,238 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Example: Bot In-Flight Run Control
|
||||
|
||||
Demonstrates how to use SessionRunControl to provide better UX for bots
|
||||
during long-running agent operations. Shows busy feedback, pending message
|
||||
handling, and /stop command support.
|
||||
|
||||
This example shows the "before" and "after" behavior described in issue #1914.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
from typing import Optional
|
||||
|
||||
# Mock agent for demonstration
|
||||
class MockAgent:
|
||||
"""Simple mock agent that simulates long-running tasks."""
|
||||
|
||||
def __init__(self, name="assistant"):
|
||||
self.name = name
|
||||
self.chat_history = []
|
||||
self._interrupt_controller = None
|
||||
|
||||
def chat(self, prompt: str) -> str:
|
||||
"""Simulate a long-running chat response."""
|
||||
print(f"[Agent] Starting to process: '{prompt[:50]}...'")
|
||||
|
||||
# Simulate long processing with interrupt checking
|
||||
for i in range(30): # 3 second task (30 x 0.1s)
|
||||
time.sleep(0.1)
|
||||
|
||||
# Check for interruption
|
||||
if (self._interrupt_controller and
|
||||
hasattr(self._interrupt_controller, 'is_set') and
|
||||
self._interrupt_controller.is_set()):
|
||||
reason = getattr(self._interrupt_controller, 'reason', 'unknown')
|
||||
print(f"[Agent] ⚠️ Interrupted: {reason}")
|
||||
raise InterruptedError(f"Task cancelled: {reason}")
|
||||
|
||||
response = f"Completed analysis of: {prompt}"
|
||||
print(f"[Agent] ✅ Finished: {response}")
|
||||
return response
|
||||
|
||||
|
||||
async def demo_without_run_control():
|
||||
"""Demonstrate the old behavior (silent blocking)."""
|
||||
print("\n" + "="*60)
|
||||
print("🔴 BEFORE: Without Run Control (Silent Blocking)")
|
||||
print("="*60)
|
||||
|
||||
from praisonai.bots._session import BotSessionManager
|
||||
|
||||
# Standard session manager (no run control)
|
||||
session_mgr = BotSessionManager()
|
||||
agent = MockAgent("research-agent")
|
||||
user_id = "user123"
|
||||
|
||||
print("\n1. User sends long task:")
|
||||
print(" User: 'research quantum computing trends'")
|
||||
|
||||
# Start first task (this will run for 3 seconds)
|
||||
task1 = asyncio.create_task(
|
||||
session_mgr.chat(agent, user_id, "research quantum computing trends")
|
||||
)
|
||||
|
||||
# Simulate user sending follow-up messages during execution
|
||||
await asyncio.sleep(0.5)
|
||||
print("\n2. User sends follow-up (this will block silently):")
|
||||
print(" User: 'actually focus on business impact'")
|
||||
|
||||
task2 = asyncio.create_task(
|
||||
session_mgr.chat(agent, user_id, "actually focus on business impact")
|
||||
)
|
||||
|
||||
await asyncio.sleep(0.5)
|
||||
print("\n3. User tries to send /stop (this will also block):")
|
||||
print(" User: '/stop'")
|
||||
|
||||
task3 = asyncio.create_task(
|
||||
session_mgr.chat(agent, user_id, "/stop")
|
||||
)
|
||||
|
||||
print("\n⏳ Waiting for all messages to complete...")
|
||||
results = await asyncio.gather(task1, task2, task3)
|
||||
|
||||
print("\n📊 Results (all processed sequentially with no feedback):")
|
||||
for i, result in enumerate(results, 1):
|
||||
print(f" {i}. {result}")
|
||||
|
||||
print("\n❌ Problems with this approach:")
|
||||
print(" - No immediate feedback on follow-up messages")
|
||||
print(" - No way to cancel long-running tasks")
|
||||
print(" - User doesn't know if bot is working or broken")
|
||||
|
||||
|
||||
async def demo_with_run_control():
|
||||
"""Demonstrate the new behavior with run control."""
|
||||
print("\n" + "="*60)
|
||||
print("🟢 AFTER: With Run Control (Better UX)")
|
||||
print("="*60)
|
||||
|
||||
from praisonai.bots._run_control import SessionRunControl
|
||||
from praisonai.bots._session import BotSessionManager
|
||||
from praisonai.bots._commands import handle_stop_command
|
||||
|
||||
# Session manager with run control
|
||||
run_control = SessionRunControl(
|
||||
busy_mode="queue",
|
||||
busy_ack_template="⏳ {action} — will process after current task finishes"
|
||||
)
|
||||
session_mgr = BotSessionManager(run_control=run_control)
|
||||
agent = MockAgent("research-agent")
|
||||
user_id = "user123"
|
||||
|
||||
print("\n1. User sends long task:")
|
||||
print(" User: 'research quantum computing trends'")
|
||||
|
||||
# Start first task
|
||||
task1 = asyncio.create_task(
|
||||
session_mgr.chat_with_run_control(agent, user_id, "research quantum computing trends")
|
||||
)
|
||||
|
||||
# Immediate follow-up messages get acknowledgments
|
||||
await asyncio.sleep(0.5)
|
||||
print("\n2. User sends follow-up (gets immediate feedback):")
|
||||
print(" User: 'actually focus on business impact'")
|
||||
|
||||
result2 = await session_mgr.chat_with_run_control(
|
||||
agent, user_id, "actually focus on business impact"
|
||||
)
|
||||
print(f" Bot: {result2['response']}")
|
||||
print(f" Metadata: {result2['metadata']}")
|
||||
|
||||
await asyncio.sleep(0.5)
|
||||
print("\n3. User decides to stop current task:")
|
||||
print(" User: '/stop'")
|
||||
|
||||
stop_response = await handle_stop_command(user_id, run_control)
|
||||
print(f" Bot: {stop_response}")
|
||||
|
||||
# Wait for first task to complete (it should be cancelled)
|
||||
try:
|
||||
result1 = await task1
|
||||
print(f"\n📊 Task 1 result: {result1['response']}")
|
||||
print(f" Metadata: {result1['metadata']}")
|
||||
except asyncio.CancelledError:
|
||||
print("\n📊 Task 1 was cancelled as expected")
|
||||
|
||||
print("\n4. User sends fresh request after stopping:")
|
||||
print(" User: 'what's the weather like?'")
|
||||
|
||||
result4 = await session_mgr.chat_with_run_control(
|
||||
agent, user_id, "what's the weather like?"
|
||||
)
|
||||
print(f" Bot: {result4['response']}")
|
||||
|
||||
print("\n✅ Benefits of this approach:")
|
||||
print(" - Immediate feedback on all messages")
|
||||
print(" - Can cancel long-running tasks with /stop")
|
||||
print(" - Pending messages are queued and processed in order")
|
||||
print(" - User always knows what's happening")
|
||||
|
||||
|
||||
async def demo_interrupt_mode():
|
||||
"""Demonstrate interrupt mode."""
|
||||
print("\n" + "="*60)
|
||||
print("⚡ BONUS: Interrupt Mode (Cancel and Restart)")
|
||||
print("="*60)
|
||||
|
||||
from praisonai.bots._run_control import SessionRunControl
|
||||
from praisonai.bots._session import BotSessionManager
|
||||
|
||||
# Use interrupt mode instead of queue mode
|
||||
run_control = SessionRunControl(busy_mode="interrupt")
|
||||
session_mgr = BotSessionManager(run_control=run_control)
|
||||
agent = MockAgent("research-agent")
|
||||
user_id = "user123"
|
||||
|
||||
print("\n1. User starts long task:")
|
||||
print(" User: 'research renewable energy for 30 pages'")
|
||||
|
||||
task1 = asyncio.create_task(
|
||||
session_mgr.chat_with_run_control(agent, user_id, "research renewable energy for 30 pages")
|
||||
)
|
||||
|
||||
await asyncio.sleep(0.5)
|
||||
print("\n2. User changes mind (interrupts and restarts):")
|
||||
print(" User: 'actually just summarize solar panel efficiency'")
|
||||
|
||||
result2 = await session_mgr.chat_with_run_control(
|
||||
agent, user_id, "actually just summarize solar panel efficiency"
|
||||
)
|
||||
print(f" Bot: {result2['response']}")
|
||||
|
||||
# Wait for original task (should be interrupted)
|
||||
try:
|
||||
result1 = await task1
|
||||
print(f"\n📊 Original task result: {result1['response']}")
|
||||
if result1['metadata'].get('interrupted'):
|
||||
print(" ✅ Original task was properly interrupted")
|
||||
except:
|
||||
print("\n📊 Original task was cancelled")
|
||||
|
||||
print("\n✅ Interrupt mode is great for:")
|
||||
print(" - When users frequently change direction")
|
||||
print(" - Interactive sessions where latest intent matters most")
|
||||
print(" - Real-time collaboration scenarios")
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run all demonstrations."""
|
||||
print("🚀 Bot In-Flight Run Control Demo")
|
||||
print("Solving the silent lock problem described in issue #1914")
|
||||
|
||||
# Show the problem
|
||||
await demo_without_run_control()
|
||||
|
||||
# Show the solution
|
||||
await demo_with_run_control()
|
||||
|
||||
# Show advanced feature
|
||||
await demo_interrupt_mode()
|
||||
|
||||
print("\n" + "="*60)
|
||||
print("🎯 Summary")
|
||||
print("="*60)
|
||||
print("SessionRunControl solves the silent blocking problem by providing:")
|
||||
print("1. Immediate feedback for mid-run messages")
|
||||
print("2. /stop command support via InterruptController")
|
||||
print("3. Configurable policies (queue/interrupt/steer)")
|
||||
print("4. Run generation tracking to prevent race conditions")
|
||||
print("5. Pending message merging and ordering")
|
||||
print("\nThis makes bot interactions feel responsive and predictable!")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,33 +0,0 @@
|
||||
"""
|
||||
Standalone gateway example (praisonai-bot first).
|
||||
|
||||
Install:
|
||||
pip install praisonaiagents "praisonai-bot[gateway]"
|
||||
|
||||
Set credentials:
|
||||
export OPENAI_API_KEY=your_key
|
||||
|
||||
Run:
|
||||
python bot_standalone_example.py
|
||||
|
||||
For Telegram/Discord/Slack channels, use the CLI after onboarding:
|
||||
praisonai-bot onboard
|
||||
praisonai-bot bot start --platform telegram
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents.gateway import GatewayConfig
|
||||
from praisonai_bot.gateway import WebSocketGateway
|
||||
|
||||
assistant = Agent(name="assistant", instructions="You are a helpful assistant.")
|
||||
|
||||
config = GatewayConfig(host="127.0.0.1", port=8765)
|
||||
gateway = WebSocketGateway(config=config)
|
||||
gateway.register_agent(assistant, agent_id="assistant")
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("Gateway: ws://127.0.0.1:8765 health: http://127.0.0.1:8765/health")
|
||||
print("CLI equivalent: praisonai-bot gateway start --host 127.0.0.1 --port 8765")
|
||||
asyncio.run(gateway.start())
|
||||
@@ -1,25 +0,0 @@
|
||||
"""Example third-party framework adapter (entry-point template)."""
|
||||
|
||||
from praisonaiagents.frameworks.base import BaseFrameworkAdapter
|
||||
|
||||
|
||||
class MyFrameworkAdapter(BaseFrameworkAdapter):
|
||||
name = "my_framework"
|
||||
install_hint = "pip install my-framework-bridge"
|
||||
requires_tools_extra = False
|
||||
|
||||
def is_available(self) -> bool:
|
||||
return True
|
||||
|
||||
def run(
|
||||
self,
|
||||
config,
|
||||
llm_config,
|
||||
topic,
|
||||
*,
|
||||
tools_dict=None,
|
||||
agent_callback=None,
|
||||
task_callback=None,
|
||||
cli_config=None,
|
||||
) -> str:
|
||||
return f"my_framework ran: {topic}"
|
||||
@@ -1,14 +0,0 @@
|
||||
[build-system]
|
||||
requires = ["setuptools>=61.0"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "my-framework-bridge"
|
||||
version = "0.0.1"
|
||||
dependencies = ["praisonaiagents"]
|
||||
|
||||
[tool.setuptools]
|
||||
py-modules = ["my_framework_adapter"]
|
||||
|
||||
[project.entry-points."praisonai.framework_adapters"]
|
||||
my_framework = "my_framework_adapter:MyFrameworkAdapter"
|
||||
@@ -1,201 +0,0 @@
|
||||
"""
|
||||
Prototype implementation of Gateway Server with backpressure and flow control.
|
||||
|
||||
This demonstrates how the bounded queues and slow consumer detection would be
|
||||
implemented in the wrapper layer (praisonai package) using the configuration
|
||||
from the core SDK (praisonaiagents).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
# For the prototype, we'll define minimal config inline
|
||||
# from praisonaiagents.gateway import GatewayConfig
|
||||
|
||||
@dataclass
|
||||
class SessionConfig:
|
||||
max_inbox: int = 256
|
||||
|
||||
@dataclass
|
||||
class GatewayConfig:
|
||||
session_config: SessionConfig = field(default_factory=SessionConfig)
|
||||
max_buffered_bytes: int = 1024 * 1024 # 1MB default
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class GatewaySession:
|
||||
"""Gateway session with bounded inbox for backpressure."""
|
||||
|
||||
_session_id: str
|
||||
_agent_id: str
|
||||
_client_id: Optional[str] = None
|
||||
_inbox: asyncio.Queue = field(default_factory=asyncio.Queue)
|
||||
_max_inbox: int = 256
|
||||
_is_executing: bool = False
|
||||
|
||||
def setup_inbox(self, max_inbox: int = 256) -> None:
|
||||
"""Set up the inbox with proper bounds."""
|
||||
self._max_inbox = max_inbox
|
||||
if max_inbox > 0:
|
||||
self._inbox = asyncio.Queue(maxsize=max_inbox)
|
||||
else:
|
||||
self._inbox = asyncio.Queue() # Unbounded for backward compat if 0
|
||||
|
||||
async def queue_message(self, message: str) -> bool:
|
||||
"""Queue a user message with backpressure handling.
|
||||
|
||||
Returns:
|
||||
True if message was queued, False if inbox is full.
|
||||
"""
|
||||
if self._max_inbox > 0:
|
||||
# Bounded queue - check if full
|
||||
try:
|
||||
self._inbox.put_nowait(message)
|
||||
return True
|
||||
except asyncio.QueueFull:
|
||||
return False
|
||||
else:
|
||||
# Unbounded queue for backward compatibility
|
||||
await self._inbox.put(message)
|
||||
return True
|
||||
|
||||
|
||||
class GatewayServer:
|
||||
"""Gateway server with flow control."""
|
||||
|
||||
def __init__(self, config: GatewayConfig):
|
||||
self.config = config
|
||||
self._sessions: Dict[str, GatewaySession] = {}
|
||||
self._clients: Dict[str, Any] = {} # client_id -> WebSocket
|
||||
|
||||
def create_session(self, session_id: str, agent_id: str, client_id: str) -> GatewaySession:
|
||||
"""Create a new session with bounded inbox."""
|
||||
session = GatewaySession(
|
||||
_session_id=session_id,
|
||||
_agent_id=agent_id,
|
||||
_client_id=client_id,
|
||||
)
|
||||
# Set up inbox with configured bounds
|
||||
session.setup_inbox(self.config.session_config.max_inbox)
|
||||
self._sessions[session_id] = session
|
||||
return session
|
||||
|
||||
async def handle_message(self, session: GatewaySession, message: str, client_id: str) -> str:
|
||||
"""Handle incoming message with inbox overflow protection."""
|
||||
# Try to queue the message
|
||||
queued = await session.queue_message(message)
|
||||
if not queued:
|
||||
# Inbox is full, send error response
|
||||
await self._send_to_client(
|
||||
client_id,
|
||||
{
|
||||
"type": "error",
|
||||
"code": "inbox_full",
|
||||
"message": "Message queue is full. Please wait for current messages to be processed."
|
||||
}
|
||||
)
|
||||
return "Inbox full - message rejected."
|
||||
|
||||
# Start processing if not already running
|
||||
if not session._is_executing:
|
||||
session._is_executing = True
|
||||
asyncio.create_task(self._drain_session_queue(session, client_id))
|
||||
return "Processing started."
|
||||
|
||||
return "Message queued."
|
||||
|
||||
async def _drain_session_queue(self, session: GatewaySession, client_id: str) -> None:
|
||||
"""Process all messages from the session's inbox queue."""
|
||||
try:
|
||||
while not session._inbox.empty():
|
||||
msg = await session._inbox.get()
|
||||
# Process message here (simplified for prototype)
|
||||
logger.info(f"Processing message for session {session._session_id}: {msg}")
|
||||
|
||||
# Simulate processing delay
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
# Send response to client (simplified)
|
||||
await self._send_to_client(
|
||||
client_id,
|
||||
{
|
||||
"type": "response",
|
||||
"message": f"Processed: {msg}"
|
||||
}
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing queue for session {session._session_id}: {e}")
|
||||
finally:
|
||||
session._is_executing = False
|
||||
|
||||
async def _send_to_client(self, client_id: str, data: Dict[str, Any]) -> None:
|
||||
"""Send data to client with slow consumer detection."""
|
||||
ws = self._clients.get(client_id)
|
||||
if ws:
|
||||
try:
|
||||
# Check for slow consumer (buffered bytes)
|
||||
if self.config.max_buffered_bytes > 0:
|
||||
# Try to get transport buffer size
|
||||
transport = getattr(ws, 'transport', None) or getattr(ws, '_transport', None)
|
||||
if transport and hasattr(transport, 'get_write_buffer_size'):
|
||||
buffered_bytes = transport.get_write_buffer_size()
|
||||
if buffered_bytes > self.config.max_buffered_bytes:
|
||||
# Check if this is a droppable event type
|
||||
event_type = data.get("type", "")
|
||||
droppable_types = {"presence", "typing", "status"}
|
||||
|
||||
if event_type in droppable_types:
|
||||
# Drop the message for slow consumers
|
||||
logger.warning(f"Dropping {event_type} event for slow consumer {client_id} (buffered: {buffered_bytes} bytes)")
|
||||
return
|
||||
else:
|
||||
# Critical event - close the connection
|
||||
logger.warning(f"Closing slow consumer {client_id} (buffered: {buffered_bytes} bytes > {self.config.max_buffered_bytes})")
|
||||
await ws.close(code=1013, reason="slow consumer")
|
||||
return
|
||||
|
||||
# Send the message
|
||||
await ws.send_json(data)
|
||||
except Exception as e:
|
||||
logger.error(f"Error sending to client {client_id}: {e}", exc_info=True)
|
||||
|
||||
|
||||
# Example usage demonstrating the flow control
|
||||
async def demo():
|
||||
"""Demonstrate the flow control implementation."""
|
||||
|
||||
# Create config with bounded inbox and slow consumer detection
|
||||
config = GatewayConfig()
|
||||
config.session_config.max_inbox = 10 # Small inbox for demo
|
||||
config.max_buffered_bytes = 1024 # 1KB for demo
|
||||
|
||||
# Create server and session
|
||||
server = GatewayServer(config)
|
||||
session = server.create_session("sess1", "agent1", "client1")
|
||||
|
||||
# Simulate filling up the inbox
|
||||
print(f"Inbox max size: {session._inbox.maxsize}")
|
||||
|
||||
# Fill the inbox
|
||||
for i in range(10):
|
||||
success = await session.queue_message(f"Message {i}")
|
||||
print(f"Queued message {i}: {success}")
|
||||
|
||||
# Try to add one more - should fail
|
||||
success = await session.queue_message("Overflow message")
|
||||
print(f"Overflow message queued: {success}")
|
||||
|
||||
# Process messages
|
||||
while not session._inbox.empty():
|
||||
msg = await session._inbox.get()
|
||||
print(f"Processing: {msg}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(demo())
|
||||
@@ -4,70 +4,43 @@ Basic handoff example demonstrating agent-to-agent delegation.
|
||||
This example shows how agents can hand off tasks to specialized agents.
|
||||
"""
|
||||
|
||||
from pydantic import BaseModel
|
||||
from typing import TypedDict, Optional
|
||||
from praisonaiagents import Agent
|
||||
|
||||
# Define typed payload contracts for each handoff
|
||||
class BillingPayload(BaseModel):
|
||||
account_id: str
|
||||
invoice_amount: Optional[float] = None
|
||||
issue_type: str = "billing"
|
||||
|
||||
class RefundPayload(TypedDict):
|
||||
transaction_id: str
|
||||
amount: float
|
||||
reason: str
|
||||
|
||||
class TechnicalPayload(BaseModel):
|
||||
error_code: Optional[str] = None
|
||||
device_info: str
|
||||
user_agent: str
|
||||
|
||||
# Create specialized agents that expect typed payloads from the triage
|
||||
# (In a real scenario, the agents would validate and use the payload.)
|
||||
# Create specialized agents
|
||||
billing_agent = Agent(
|
||||
name="Billing Agent",
|
||||
role="Billing Specialist",
|
||||
goal="Handle all billing-related inquiries and tasks using structured data",
|
||||
backstory="I am an expert in billing systems, payment processing, and invoice management.",
|
||||
input_payload_schema=BillingPayload # hypothetical but consistent with design
|
||||
goal="Handle all billing-related inquiries and tasks",
|
||||
backstory="I am an expert in billing systems, payment processing, and invoice management."
|
||||
)
|
||||
|
||||
refund_agent = Agent(
|
||||
name="Refund Agent",
|
||||
role="Refund Specialist",
|
||||
goal="Process refund requests and handle refund-related issues with validated data",
|
||||
backstory="I specialize in processing refunds, evaluating refund eligibility, and ensuring customer satisfaction.",
|
||||
input_payload_schema=RefundPayload
|
||||
goal="Process refund requests and handle refund-related issues",
|
||||
backstory="I specialize in processing refunds, evaluating refund eligibility, and ensuring customer satisfaction."
|
||||
)
|
||||
|
||||
technical_support_agent = Agent(
|
||||
name="Technical Support",
|
||||
role="Technical Support Specialist",
|
||||
goal="Resolve technical issues and provide technical assistance with structured context",
|
||||
backstory="I am skilled in troubleshooting technical problems and providing solutions.",
|
||||
input_payload_schema=TechnicalPayload
|
||||
goal="Resolve technical issues and provide technical assistance",
|
||||
backstory="I am skilled in troubleshooting technical problems and providing solutions."
|
||||
)
|
||||
|
||||
# Create a triage agent with typed handoffs
|
||||
# Create a triage agent with handoffs to specialized agents
|
||||
triage_agent = Agent(
|
||||
name="Triage Agent",
|
||||
role="Customer Service Triage",
|
||||
goal="Understand customer needs and route them to the appropriate specialist with a validated payload",
|
||||
goal="Understand customer needs and route them to the appropriate specialist",
|
||||
backstory="I analyze customer requests and direct them to the most suitable specialist for efficient resolution.",
|
||||
instructions="""Analyze the customer's request and determine which specialist can best help:
|
||||
- For billing questions, payment issues, or invoices, transfer to the Billing Agent
|
||||
- For refund requests or refund status inquiries, transfer to the Refund Agent
|
||||
- For technical problems or product issues, transfer to Technical Support
|
||||
|
||||
Always explain why you're transferring the customer before doing so.
|
||||
When handing off, populate the appropriate payload with extracted data.""",
|
||||
handoffs=[
|
||||
(billing_agent, BillingPayload),
|
||||
(refund_agent, RefundPayload),
|
||||
(technical_support_agent, TechnicalPayload)
|
||||
]
|
||||
Always explain why you're transferring the customer before doing so.""",
|
||||
handoffs=[billing_agent, refund_agent, technical_support_agent]
|
||||
)
|
||||
|
||||
# Example usage
|
||||
|
||||
@@ -1,124 +0,0 @@
|
||||
"""
|
||||
Example: Using MuAPI with PraisonAI for image generation.
|
||||
|
||||
MuAPI (https://muapi.ai) provides unified access to 400+ generative media
|
||||
models — Flux, Midjourney, GPT-4o Image, Google Imagen, Seedream, Veo3,
|
||||
Kling, Wan, and more — through a single API.
|
||||
|
||||
This example creates a PraisonAI agent that generates images on demand
|
||||
using the MuAPI image generation API as a custom tool.
|
||||
|
||||
Setup:
|
||||
pip install praisonaiagents requests
|
||||
export MUAPI_API_KEY=your_key_here
|
||||
# Get an API key at https://muapi.ai/dashboard/api-keys
|
||||
"""
|
||||
|
||||
import os
|
||||
import time
|
||||
|
||||
import requests
|
||||
from praisonaiagents import Agent, Tool
|
||||
|
||||
|
||||
MUAPI_BASE_URL = "https://api.muapi.ai/api/v1"
|
||||
|
||||
ALLOWED_MODELS = {
|
||||
"flux-schnell", "flux-dev", "flux-kontext-dev", "flux-kontext-pro",
|
||||
"midjourney", "gpt4o", "imagen4", "imagen4-fast", "seedream",
|
||||
"hidream-fast", "hidream-dev", "reve", "ideogram", "hunyuan",
|
||||
}
|
||||
|
||||
|
||||
def generate_image(prompt: str, model: str = "flux-schnell") -> str:
|
||||
"""Generate an image using MuAPI and return the output URL.
|
||||
|
||||
Args:
|
||||
prompt: Text description of the image to generate.
|
||||
model: MuAPI model ID. Options include flux-schnell, flux-dev,
|
||||
midjourney, gpt4o, imagen4, seedream, hidream-fast, reve.
|
||||
|
||||
Returns:
|
||||
URL of the generated image.
|
||||
"""
|
||||
if model not in ALLOWED_MODELS:
|
||||
raise ValueError(
|
||||
f"Unsupported model '{model}'. Choose from: {sorted(ALLOWED_MODELS)}"
|
||||
)
|
||||
|
||||
api_key = os.environ.get("MUAPI_API_KEY", "")
|
||||
if not api_key:
|
||||
raise ValueError("MUAPI_API_KEY environment variable not set")
|
||||
|
||||
headers = {"x-api-key": api_key, "Content-Type": "application/json"}
|
||||
|
||||
# Submit the generation request
|
||||
submit_resp = requests.post(
|
||||
f"{MUAPI_BASE_URL}/{model}",
|
||||
headers=headers,
|
||||
json={"prompt": prompt},
|
||||
timeout=30,
|
||||
)
|
||||
submit_resp.raise_for_status()
|
||||
submit_data = submit_resp.json()
|
||||
request_id = submit_data.get("request_id")
|
||||
if not request_id:
|
||||
raise RuntimeError(f"MuAPI did not return a request_id: {submit_data}")
|
||||
|
||||
# Poll until completion
|
||||
for _ in range(120):
|
||||
time.sleep(3)
|
||||
poll_resp = requests.get(
|
||||
f"{MUAPI_BASE_URL}/predictions/{request_id}/result",
|
||||
headers={"x-api-key": api_key},
|
||||
timeout=15,
|
||||
)
|
||||
poll_resp.raise_for_status()
|
||||
data = poll_resp.json()
|
||||
status = data.get("status")
|
||||
if status == "completed":
|
||||
outputs = data.get("outputs") or []
|
||||
if not outputs:
|
||||
raise RuntimeError(f"Generation completed but returned no outputs: {data}")
|
||||
return outputs[0]
|
||||
if status in ("failed", "cancelled"):
|
||||
raise RuntimeError(f"Image generation {status}: {data.get('error', '')}")
|
||||
|
||||
raise TimeoutError("Image generation timed out after 6 minutes")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
image_tool = Tool(
|
||||
name="generate_image",
|
||||
description=(
|
||||
"Generate an image from a text description using MuAPI's 400+ model library. "
|
||||
"Supported models: flux-schnell (fast), flux-dev, midjourney, gpt4o, imagen4, "
|
||||
"seedream, hidream-fast, reve. Returns a URL to the generated image."
|
||||
),
|
||||
function=generate_image,
|
||||
)
|
||||
|
||||
agent = Agent(
|
||||
name="Image Generator",
|
||||
instructions=(
|
||||
"You are a creative image generation assistant. "
|
||||
"When asked to create an image, use the generate_image tool. "
|
||||
"Pick the best model for the task: flux-schnell for speed, "
|
||||
"midjourney for artistic quality, gpt4o for photorealism."
|
||||
),
|
||||
tools=[image_tool],
|
||||
)
|
||||
|
||||
# Example: generate a product photo
|
||||
response = agent.start(
|
||||
"Generate a photorealistic product photo of a sleek black coffee mug "
|
||||
"on a white marble table with soft morning light. Use the best model for photorealism."
|
||||
)
|
||||
print(response)
|
||||
|
||||
# Example: generate concept art
|
||||
response = agent.start(
|
||||
"Create a cyberpunk cityscape at night with neon reflections on wet streets. "
|
||||
"Use midjourney for artistic quality."
|
||||
)
|
||||
print(response)
|
||||
@@ -1,5 +1,5 @@
|
||||
"""
|
||||
Simple test script for 24/7 Agent Scheduler.
|
||||
Simple test script for 24/7 Agent Scheduler
|
||||
|
||||
This script demonstrates the basic usage of AgentScheduler
|
||||
for running agents periodically.
|
||||
@@ -8,56 +8,42 @@ Usage:
|
||||
python simple_test.py
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
from unittest.mock import AsyncMock, Mock
|
||||
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "../../.."))
|
||||
import os
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../..'))
|
||||
|
||||
from unittest.mock import Mock
|
||||
from praisonai.scheduler import AgentScheduler
|
||||
|
||||
# ---------------------------------------------------------------------
|
||||
# Create a mock agent
|
||||
#
|
||||
# The scheduler now supports both asynchronous (astart) and synchronous
|
||||
# (start) execution. This example exposes both methods so either dispatch
|
||||
# path can be exercised.
|
||||
# ---------------------------------------------------------------------
|
||||
|
||||
mock_agent = Mock(spec=["name", "start", "astart"])
|
||||
# Create a mock agent for testing
|
||||
mock_agent = Mock()
|
||||
mock_agent.name = "TestAgent"
|
||||
|
||||
mock_agent.astart = AsyncMock(
|
||||
return_value="Test execution successful!"
|
||||
)
|
||||
mock_agent.start = Mock(
|
||||
return_value="Test execution successful!"
|
||||
)
|
||||
mock_agent.start = Mock(return_value="Test execution successful!")
|
||||
|
||||
# Create scheduler
|
||||
scheduler = AgentScheduler(
|
||||
agent=mock_agent,
|
||||
task="Test task execution",
|
||||
task="Test task execution"
|
||||
)
|
||||
|
||||
print("🤖 Testing AgentScheduler")
|
||||
print("=" * 60)
|
||||
|
||||
# Execute once
|
||||
# Test 1: Execute once
|
||||
print("\n✅ Test 1: Execute once")
|
||||
result = scheduler.execute_once()
|
||||
print(f"Result: {result}")
|
||||
|
||||
# Statistics
|
||||
# Test 2: Get stats
|
||||
print("\n✅ Test 2: Get statistics")
|
||||
stats = scheduler.get_stats()
|
||||
print(f"Stats: {stats}")
|
||||
|
||||
# Periodic execution
|
||||
# Test 3: Start scheduler (will run every 5 seconds)
|
||||
print("\n✅ Test 3: Start scheduler (*/5s)")
|
||||
scheduler.start("*/5s", run_immediately=True)
|
||||
|
||||
import time
|
||||
print("Running for 12 seconds...")
|
||||
time.sleep(12)
|
||||
|
||||
@@ -65,10 +51,11 @@ time.sleep(12)
|
||||
print("\n✅ Test 4: Stop scheduler")
|
||||
scheduler.stop()
|
||||
|
||||
# Final statistics
|
||||
# Final stats
|
||||
print("\n📊 Final Statistics:")
|
||||
for key, value in scheduler.get_stats().items():
|
||||
final_stats = scheduler.get_stats()
|
||||
for key, value in final_stats.items():
|
||||
print(f" {key}: {value}")
|
||||
|
||||
print("\n✅ All tests passed!")
|
||||
print("=" * 60)
|
||||
print("=" * 60)
|
||||
@@ -179,7 +179,7 @@ def main():
|
||||
|
||||
context = memory.build_context_for_task(
|
||||
task_descr="Explain AI alignment challenges",
|
||||
memory={"user_id": "quality_demo_user"},
|
||||
user_id="quality_demo_user",
|
||||
max_items=3
|
||||
)
|
||||
|
||||
|
||||
@@ -1,115 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
JIRA Agent Watch Example
|
||||
|
||||
This example demonstrates how to use the JIRA watch tools with PraisonAI agents.
|
||||
The agent can monitor JIRA issues and projects for changes, search for issues,
|
||||
and get detailed issue information.
|
||||
|
||||
Setup:
|
||||
1. Install JIRA library: pip install jira
|
||||
2. Set environment variables:
|
||||
- JIRA_EMAIL=your_email@example.com (for cloud JIRA)
|
||||
- JIRA_API_TOKEN=your_api_token
|
||||
- Or use JIRA_USERNAME + JIRA_API_TOKEN for server JIRA
|
||||
|
||||
Usage:
|
||||
python jira_agent_example.py
|
||||
"""
|
||||
|
||||
import os
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents.tools import jira_tools
|
||||
|
||||
|
||||
def main():
|
||||
"""Demonstrate JIRA agent watch capabilities."""
|
||||
|
||||
# Check if JIRA credentials are available
|
||||
jira_email = os.getenv('JIRA_EMAIL')
|
||||
jira_token = os.getenv('JIRA_API_TOKEN')
|
||||
jira_username = os.getenv('JIRA_USERNAME')
|
||||
|
||||
if not jira_token:
|
||||
print("❌ JIRA_API_TOKEN environment variable not set")
|
||||
print("Please set your JIRA API token:")
|
||||
print("export JIRA_API_TOKEN='your_token_here'")
|
||||
return
|
||||
|
||||
if not (jira_email or jira_username):
|
||||
print("❌ JIRA credentials incomplete")
|
||||
print("Please set either:")
|
||||
print("- JIRA_EMAIL (for cloud JIRA)")
|
||||
print("- JIRA_USERNAME (for server JIRA)")
|
||||
return
|
||||
|
||||
# Create agent with JIRA tools
|
||||
agent = Agent(
|
||||
name="JIRA Monitor Agent",
|
||||
instructions="""
|
||||
You are a JIRA monitoring agent. You can:
|
||||
|
||||
1. Watch specific JIRA issues for changes
|
||||
2. Monitor JIRA projects for new issues and updates
|
||||
3. Search for issues using JQL queries
|
||||
4. Get detailed information about specific issues
|
||||
|
||||
When using JIRA tools, always provide the full JIRA URL
|
||||
(e.g., https://yourcompany.atlassian.net).
|
||||
|
||||
Be helpful and provide clear summaries of JIRA activity.
|
||||
""",
|
||||
tools=jira_tools(), # Add all JIRA tools
|
||||
llm="gpt-4o-mini"
|
||||
)
|
||||
|
||||
print("🎯 JIRA Agent Watch Example")
|
||||
print("=" * 50)
|
||||
print()
|
||||
print("Available JIRA tools:")
|
||||
print("- jira_watch_issue: Monitor a specific issue for changes")
|
||||
print("- jira_watch_project: Monitor a project for new/updated issues")
|
||||
print("- jira_get_issue_info: Get detailed info about an issue")
|
||||
print("- jira_search_issues: Search issues using JQL")
|
||||
print()
|
||||
|
||||
# Example interactions
|
||||
example_prompts = [
|
||||
"Get information about JIRA issue DEMO-1 from https://praisonai.atlassian.net",
|
||||
"Search for open issues in project DEMO from https://praisonai.atlassian.net using JQL: 'project = DEMO AND status = Open'",
|
||||
"Watch JIRA issue DEMO-1 from https://praisonai.atlassian.net for 2 minutes (check every 60 seconds, max 2 checks)",
|
||||
]
|
||||
|
||||
print("📝 Example prompts you can try:")
|
||||
for i, prompt in enumerate(example_prompts, 1):
|
||||
print(f"{i}. {prompt}")
|
||||
print()
|
||||
|
||||
# Interactive mode
|
||||
print("💬 Interactive JIRA Agent (type 'quit' to exit)")
|
||||
print("-" * 50)
|
||||
|
||||
while True:
|
||||
try:
|
||||
user_input = input("\n🧑 You: ").strip()
|
||||
|
||||
if user_input.lower() in ['quit', 'exit', 'q']:
|
||||
print("👋 Goodbye!")
|
||||
break
|
||||
|
||||
if not user_input:
|
||||
continue
|
||||
|
||||
print("🤖 Agent: ", end="", flush=True)
|
||||
response = agent.start(user_input)
|
||||
print(response)
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print("\n👋 Goodbye!")
|
||||
break
|
||||
except Exception as e:
|
||||
print(f"❌ Error: {e}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -6,6 +6,7 @@ to different next steps based on output content.
|
||||
"""
|
||||
|
||||
from praisonaiagents import AgentFlow, Task
|
||||
from praisonaiagents import AgentFlowManager
|
||||
|
||||
# Create a workflow with branching
|
||||
workflow = AgentFlow(
|
||||
@@ -35,9 +36,16 @@ workflow = AgentFlow(
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
result = workflow.run("", llm="gpt-4o-mini", verbose=True)
|
||||
# Create manager and register workflow
|
||||
manager = WorkflowManager()
|
||||
manager.workflows["Decision Workflow"] = workflow
|
||||
|
||||
# Execute - will branch to success_handler since 42 is positive
|
||||
result = manager.execute(
|
||||
"Decision Workflow",
|
||||
default_llm="gpt-4o-mini"
|
||||
)
|
||||
|
||||
print("Workflow completed!")
|
||||
for step in result.get("steps", []):
|
||||
name = step.get("step", step.get("name", "unknown"))
|
||||
status = step.get("status", "completed")
|
||||
print(f" {name}: {status}")
|
||||
for step_result in result["results"]:
|
||||
print(f" {step_result['step']}: {step_result['status']}")
|
||||
@@ -6,8 +6,9 @@ functions that return StepResult with stop_workflow=True.
|
||||
"""
|
||||
|
||||
from praisonaiagents import (
|
||||
AgentFlow, Task, WorkflowContext, StepResult
|
||||
Workflow, Task, WorkflowContext, StepResult
|
||||
)
|
||||
from praisonaiagents import AgentFlowManager
|
||||
|
||||
# Custom validator that can stop the workflow
|
||||
def validate_data(context: WorkflowContext) -> StepResult:
|
||||
@@ -49,13 +50,20 @@ workflow = AgentFlow(
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
manager = WorkflowManager()
|
||||
manager.workflows["Data Processing"] = workflow
|
||||
|
||||
# Test with invalid data (will stop early)
|
||||
print("=== Testing with invalid data ===")
|
||||
result = workflow.run("", llm="gpt-4o-mini", verbose=True)
|
||||
for step in result.get("steps", []):
|
||||
print(f" {step.get('step', 'step')}: {step.get('output', step.get('status'))}")
|
||||
|
||||
result = manager.execute("Data Processing", default_llm="gpt-4o-mini")
|
||||
|
||||
for step_result in result["results"]:
|
||||
print(f" {step_result['step']}: {step_result['output']}")
|
||||
|
||||
# Test with valid data (will complete)
|
||||
print("\n=== Testing with valid data ===")
|
||||
workflow.variables["data"] = {"value": 42}
|
||||
result = workflow.run("", llm="gpt-4o-mini", verbose=True)
|
||||
for step in result.get("steps", []):
|
||||
print(f" {step.get('step', 'step')}: {step.get('status', 'completed')}")
|
||||
result = manager.execute("Data Processing", default_llm="gpt-4o-mini")
|
||||
|
||||
for step_result in result["results"]:
|
||||
print(f" {step_result['step']}: {step_result['status']}")
|
||||
@@ -6,6 +6,7 @@ Each item is processed individually with the loop variable.
|
||||
"""
|
||||
|
||||
from praisonaiagents import AgentFlow, Task
|
||||
from praisonaiagents import AgentFlowManager
|
||||
|
||||
# Create a workflow with loop
|
||||
workflow = AgentFlow(
|
||||
@@ -29,12 +30,18 @@ workflow = AgentFlow(
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
result = workflow.run("", llm="gpt-4o-mini", verbose=True)
|
||||
# Create manager and register workflow
|
||||
manager = WorkflowManager()
|
||||
manager.workflows["Process Items"] = workflow
|
||||
|
||||
# Execute - will process each fruit in the list
|
||||
result = manager.execute(
|
||||
"Process Items",
|
||||
default_llm="gpt-4o-mini"
|
||||
)
|
||||
|
||||
print("Workflow completed!")
|
||||
for step in result.get("steps", []):
|
||||
name = step.get("step", step.get("name", "unknown"))
|
||||
status = step.get("status", "completed")
|
||||
print(f" {name}: {status}")
|
||||
out = step.get("output")
|
||||
if isinstance(out, list):
|
||||
print(f" Loop processed {len(out)} items")
|
||||
for step_result in result["results"]:
|
||||
print(f" {step_result['step']}: {step_result['status']}")
|
||||
if isinstance(step_result.get("output"), list):
|
||||
print(f" Loop processed {len(step_result['output'])} items")
|
||||
@@ -5,7 +5,7 @@ Demonstrates running multiple agents concurrently and
|
||||
combining their results with an aggregator agent.
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, AgentFlow
|
||||
from praisonaiagents import Agent, Workflow
|
||||
from praisonaiagents.workflows import parallel
|
||||
|
||||
# Create parallel research agents
|
||||
|
||||
@@ -5,7 +5,7 @@ Demonstrates decision-based routing where an agent classifier
|
||||
routes to specialized handler agents based on the request type.
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, AgentFlow
|
||||
from praisonaiagents import Agent, Workflow
|
||||
from praisonaiagents.workflows import route
|
||||
|
||||
# Create classifier agent
|
||||
|
||||
@@ -1,106 +0,0 @@
|
||||
"""Use Xquik tweet search as a PraisonAI custom tool.
|
||||
|
||||
Set XQUIK_API_KEY before running this example. The tool calls the public
|
||||
Xquik tweet search endpoint and returns compact tweet summaries for the agent.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
from typing import Any
|
||||
from urllib.error import HTTPError, URLError
|
||||
from urllib.parse import urlencode
|
||||
from urllib.request import Request, urlopen
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
|
||||
|
||||
XQUIK_SEARCH_URL = "https://xquik.com/api/v1/x/tweets/search"
|
||||
|
||||
|
||||
def _xquik_api_key_available() -> tuple[bool, str]:
|
||||
return bool(os.environ.get("XQUIK_API_KEY")), "Set XQUIK_API_KEY before using search_x_posts."
|
||||
|
||||
|
||||
def _as_record(value: Any) -> dict[str, Any]:
|
||||
if isinstance(value, dict):
|
||||
return value
|
||||
return {}
|
||||
|
||||
|
||||
def _as_text(value: Any) -> str:
|
||||
if isinstance(value, str):
|
||||
return " ".join(value.split())
|
||||
if value is None:
|
||||
return ""
|
||||
return " ".join(str(value).split())
|
||||
|
||||
|
||||
def _tweet_line(tweet: dict[str, Any]) -> str:
|
||||
author_record = _as_record(tweet.get("author") or tweet.get("user"))
|
||||
author = _as_text(
|
||||
tweet.get("author_username")
|
||||
or tweet.get("username")
|
||||
or author_record.get("username")
|
||||
or author_record.get("screen_name")
|
||||
or author_record.get("handle")
|
||||
)
|
||||
text = _as_text(tweet.get("text") or tweet.get("full_text") or tweet.get("content"))
|
||||
tweet_id = _as_text(tweet.get("id") or tweet.get("tweet_id") or tweet.get("tweetId"))
|
||||
prefix = f"@{author}: " if author else ""
|
||||
suffix = f" ({tweet_id})" if tweet_id else ""
|
||||
return f"{prefix}{text}{suffix}".strip()
|
||||
|
||||
|
||||
def _bounded_limit(value: Any) -> int:
|
||||
try:
|
||||
parsed = int(float(value))
|
||||
except (TypeError, ValueError, OverflowError):
|
||||
return 5
|
||||
return max(1, min(parsed, 10))
|
||||
|
||||
|
||||
@tool(availability=_xquik_api_key_available)
|
||||
def search_x_posts(query: str, limit: int = 5) -> str:
|
||||
"""Search recent public X posts with Xquik."""
|
||||
api_key = os.environ.get("XQUIK_API_KEY")
|
||||
if not api_key:
|
||||
return "Set XQUIK_API_KEY before using search_x_posts."
|
||||
|
||||
query_text = _as_text(query)
|
||||
if not query_text:
|
||||
return "Provide a non-empty query before using search_x_posts."
|
||||
|
||||
bounded_limit = _bounded_limit(limit)
|
||||
params = {"q": query_text, "limit": bounded_limit, "queryType": "Latest"}
|
||||
url = f"{XQUIK_SEARCH_URL}?{urlencode(params)}"
|
||||
request = Request(
|
||||
url,
|
||||
headers={"X-API-Key": api_key, "Accept": "application/json"},
|
||||
)
|
||||
|
||||
try:
|
||||
with urlopen(request, timeout=20) as response:
|
||||
payload = json.loads(response.read().decode("utf-8"))
|
||||
except HTTPError as error:
|
||||
return f"Xquik returned HTTP {error.code}."
|
||||
except (URLError, TimeoutError, json.JSONDecodeError) as error:
|
||||
return f"Xquik search failed: {error.__class__.__name__}."
|
||||
|
||||
tweets = _as_record(payload).get("tweets")
|
||||
if not isinstance(tweets, list) or not tweets:
|
||||
return "No posts found."
|
||||
|
||||
lines = [_tweet_line(_as_record(tweet)) for tweet in tweets[:bounded_limit]]
|
||||
return "\n".join(line for line in lines if line) or "No readable posts found."
|
||||
|
||||
|
||||
agent = Agent(
|
||||
instructions="You find recent public X posts and summarize the useful patterns.",
|
||||
tools=[search_x_posts],
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
agent.start("Search X for recent AI agent framework discussions.")
|
||||
@@ -1,18 +0,0 @@
|
||||
# Standalone bot + gateway (praisonai-bot first)
|
||||
#
|
||||
# pip install praisonaiagents "praisonai-bot[gateway,bot]"
|
||||
# export OPENAI_API_KEY=...
|
||||
# praisonai-bot gateway start --host 127.0.0.1 --port 8765
|
||||
|
||||
agent:
|
||||
name: assistant
|
||||
instructions: You are a helpful assistant.
|
||||
llm: gpt-4o-mini
|
||||
|
||||
gateway:
|
||||
host: 127.0.0.1
|
||||
port: 8765
|
||||
|
||||
platforms:
|
||||
telegram:
|
||||
token: ${TELEGRAM_BOT_TOKEN}
|
||||
@@ -1,19 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# Fail if praisonai_bot production code imports praisonai.* at module level (outside allowlist).
|
||||
set -euo pipefail
|
||||
cd "$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
|
||||
ROOT="src/praisonai-bot/praisonai_bot"
|
||||
ALLOWLIST="scripts/c9_wrapper_import_allowlist.txt"
|
||||
RE='^(from praisonai\.|import praisonai\.)'
|
||||
FAIL=0
|
||||
while IFS= read -r f; do
|
||||
rel="${f#"$ROOT/"}"
|
||||
if printf '%s\n' "$(sed -E 's/[[:space:]]*#.*$//;/^[[:space:]]*$/d' "$ALLOWLIST")" | grep -Fxq "$rel"; then
|
||||
continue
|
||||
fi
|
||||
if grep -E "$RE" "$f" 2>/dev/null | grep -v '^[[:space:]]*#'; then
|
||||
echo "FAIL: module-level praisonai import in $rel"
|
||||
FAIL=1
|
||||
fi
|
||||
done < <(find "$ROOT" -name '*.py' -type f)
|
||||
[ "$FAIL" -eq 0 ] && echo "audit_bot_wrapper_imports ok" || exit 1
|
||||
@@ -1,48 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Assert critical C8 hybrid import paths resolve (wrapper + code tiers)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib
|
||||
import sys
|
||||
|
||||
|
||||
def _check(label: str, import_fn) -> None:
|
||||
try:
|
||||
import_fn()
|
||||
except Exception as exc:
|
||||
print(f"FAIL {label}: {exc}", file=sys.stderr)
|
||||
raise SystemExit(1) from exc
|
||||
print(f"OK {label}")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
_check(
|
||||
"praisonai.cli.features.tui.app.TUIApp",
|
||||
lambda: importlib.import_module("praisonai.cli.features.tui.app").TUIApp,
|
||||
)
|
||||
_check(
|
||||
"praisonai.cli.features.tools.ToolsHandler",
|
||||
lambda: importlib.import_module("praisonai.cli.features.tools").ToolsHandler,
|
||||
)
|
||||
_check(
|
||||
"praisonai.cli.features.workflow.WorkflowHandler",
|
||||
lambda: importlib.import_module("praisonai.cli.features.workflow").WorkflowHandler,
|
||||
)
|
||||
_check(
|
||||
"praisonai.cli.interactive.core.InteractiveCore",
|
||||
lambda: importlib.import_module("praisonai.cli.interactive.core").InteractiveCore,
|
||||
)
|
||||
_check(
|
||||
"praisonai_code.cli.interactive.async_tui.AsyncTUI",
|
||||
lambda: importlib.import_module("praisonai_code.cli.interactive.async_tui").AsyncTUI,
|
||||
)
|
||||
_check(
|
||||
"praisonai_code.cli.features.workflow.WorkflowHandler",
|
||||
lambda: importlib.import_module("praisonai_code.cli.features.workflow").WorkflowHandler,
|
||||
)
|
||||
print("All hybrid module paths importable.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,5 +0,0 @@
|
||||
# Files allowed to contain lazy ``from praisonai.*`` imports in praisonai-code.
|
||||
# C8 complete — reverse imports eliminated; bridge-only access remains.
|
||||
# Regenerate counts: bash scripts/check_c7_imports.sh
|
||||
#
|
||||
# If a new direct import is unavoidable, add path below after Architecture Review.
|
||||
@@ -1,553 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""C8.4 — mechanical main.py decomposition into legacy modules."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import re
|
||||
import textwrap
|
||||
from pathlib import Path
|
||||
|
||||
REPO = Path(__file__).resolve().parents[1]
|
||||
MAIN = REPO / "src/praisonai-code/praisonai_code/cli/main.py"
|
||||
CODE_LEGACY = REPO / "src/praisonai-code/praisonai_code/cli/legacy"
|
||||
WRAP_LEGACY = REPO / "src/praisonai/praisonai/cli/legacy"
|
||||
PRAISON_AI = CODE_LEGACY / "praison_ai.py"
|
||||
THIN_MAIN = MAIN
|
||||
|
||||
# (start, end) 1-indexed inclusive
|
||||
RANGES = {
|
||||
"env_security.py": (45, 92),
|
||||
"subcommand_handlers.py": [
|
||||
(2342, 2518), # memory
|
||||
(2520, 2631), # rules
|
||||
(3310, 3392), # hooks
|
||||
(3394, 3479), # knowledge (stop before session)
|
||||
(3535, 3647), # docs
|
||||
(3649, 3808), # mcp
|
||||
(3810, 3907), # sensitive patterns + check + clean_commit
|
||||
(3909, 4119), # commit
|
||||
(5761, 5803), # context
|
||||
(5805, 6010), # research
|
||||
],
|
||||
"workflow_commands.py": (2633, 3308),
|
||||
"direct_prompt.py": [
|
||||
(2087, 2340),
|
||||
(4121, 4148), # _save_output
|
||||
(4421, 5385),
|
||||
],
|
||||
"dispatch/argparse_builder.py": (1074, 1359),
|
||||
"interactive_legacy.py": (6012, 7486),
|
||||
}
|
||||
|
||||
# Lines to remove from praison_ai (replaced by delegation)
|
||||
EXTRACT_LINES = set()
|
||||
for spec in RANGES.values():
|
||||
blocks = spec if isinstance(spec, list) else [spec]
|
||||
for start, end in blocks:
|
||||
EXTRACT_LINES.update(range(start, end + 1))
|
||||
|
||||
DELEGATE_METHODS = {
|
||||
"subcommand_handlers": [
|
||||
"handle_memory_command",
|
||||
"handle_rules_command",
|
||||
"handle_hooks_command",
|
||||
"handle_knowledge_command",
|
||||
"handle_docs_command",
|
||||
"handle_mcp_command",
|
||||
"handle_commit_command",
|
||||
"handle_context_command",
|
||||
"handle_research_command",
|
||||
"_check_sensitive_content",
|
||||
"_clean_commit_message",
|
||||
"_get_sensitive_patterns",
|
||||
],
|
||||
"workflow_commands": [
|
||||
"handle_workflow_command",
|
||||
"_run_yaml_workflow",
|
||||
"_validate_yaml_workflow",
|
||||
"_get_canonical_suggestions",
|
||||
"_create_workflow_from_template",
|
||||
"_auto_generate_workflow",
|
||||
],
|
||||
"direct_prompt": [
|
||||
"_rewrite_query",
|
||||
"_rewrite_query_if_enabled",
|
||||
"_expand_prompt",
|
||||
"_expand_prompt_if_enabled",
|
||||
"_load_tools",
|
||||
"_load_toolsets",
|
||||
"_save_output",
|
||||
"handle_direct_prompt",
|
||||
],
|
||||
"interactive_legacy": [
|
||||
"_start_interactive_mode",
|
||||
"_load_interactive_tools",
|
||||
"_run_chat_mode",
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
def read_lines() -> list[str]:
|
||||
return MAIN.read_text(encoding="utf-8").splitlines(keepends=True)
|
||||
|
||||
|
||||
def dedent_block(lines: list[str], spaces: int = 4) -> list[str]:
|
||||
out: list[str] = []
|
||||
prefix = " " * spaces
|
||||
for line in lines:
|
||||
if line.startswith(prefix):
|
||||
out.append(line[spaces:])
|
||||
else:
|
||||
out.append(line)
|
||||
return out
|
||||
|
||||
|
||||
def extract_range(all_lines: list[str], start: int, end: int) -> list[str]:
|
||||
return dedent_block(all_lines[start - 1 : end])
|
||||
|
||||
|
||||
def transform_sensitive_patterns(lines: list[str]) -> list[str]:
|
||||
text = "".join(lines)
|
||||
text = text.replace("cls._SENSITIVE_PATTERNS", "_SENSITIVE_PATTERNS")
|
||||
text = re.sub(
|
||||
r"@classmethod\s*\n\s*def _get_sensitive_patterns\(cls\):",
|
||||
"def _get_sensitive_patterns():",
|
||||
text,
|
||||
)
|
||||
text = text.replace(" _SENSITIVE_PATTERNS = None\n", "_SENSITIVE_PATTERNS = None\n")
|
||||
text = text.replace(" _SENSITIVE_FILES = ", "_SENSITIVE_FILES = ")
|
||||
text = text.replace(" _SENSITIVE_EXTENSIONS = ", "_SENSITIVE_EXTENSIONS = ")
|
||||
text = text.replace("self._get_sensitive_patterns()", "_get_sensitive_patterns()")
|
||||
text = re.sub(
|
||||
r"@staticmethod\s*\n\s*def _clean_commit_message",
|
||||
"def _clean_commit_message",
|
||||
text,
|
||||
)
|
||||
return text.splitlines(keepends=True)
|
||||
|
||||
|
||||
def module_header(doc: str, extra_imports: str = "") -> str:
|
||||
return textwrap.dedent(
|
||||
f'''\
|
||||
"""{doc}"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import shutil
|
||||
import subprocess
|
||||
import sys
|
||||
import time
|
||||
import yaml
|
||||
from dotenv import load_dotenv
|
||||
from rich import print
|
||||
{extra_imports}
|
||||
'''
|
||||
)
|
||||
|
||||
|
||||
def write_env_security(all_lines: list[str]) -> None:
|
||||
body = all_lines[44:92] # module-level — no dedent
|
||||
header = '"""Environment variable security (C8.4)."""\n\nfrom __future__ import annotations\n\nfrom dotenv import load_dotenv\n\n'
|
||||
path = CODE_LEGACY / "env_security.py"
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(header + "".join(body), encoding="utf-8")
|
||||
|
||||
|
||||
def write_subcommand_handlers(all_lines: list[str]) -> None:
|
||||
parts: list[str] = []
|
||||
for start, end in RANGES["subcommand_handlers.py"]: # type: ignore[index]
|
||||
chunk = extract_range(all_lines, start, end)
|
||||
if start == 3810:
|
||||
chunk = transform_sensitive_patterns(chunk)
|
||||
parts.append("".join(chunk))
|
||||
content = module_header("CLI subcommand handlers (C8.4).") + "\n".join(parts)
|
||||
path = WRAP_LEGACY / "subcommand_handlers.py"
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def write_workflow_commands(all_lines: list[str]) -> None:
|
||||
start, end = RANGES["workflow_commands.py"] # type: ignore[misc]
|
||||
body = extract_range(all_lines, start, end)
|
||||
content = module_header("Workflow CLI commands (C8.4).") + "".join(body)
|
||||
path = WRAP_LEGACY / "workflow_commands.py"
|
||||
path.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def write_direct_prompt(all_lines: list[str]) -> None:
|
||||
parts: list[str] = []
|
||||
for start, end in RANGES["direct_prompt.py"]: # type: ignore[index]
|
||||
parts.append("".join(extract_range(all_lines, start, end)))
|
||||
content = module_header("Direct prompt execution (C8.4).") + "\n".join(parts)
|
||||
path = WRAP_LEGACY / "direct_prompt.py"
|
||||
path.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def write_argparse_builder(all_lines: list[str]) -> None:
|
||||
body = dedent_block(all_lines[1073:1359], spaces=8)
|
||||
fn = textwrap.dedent(
|
||||
'''\
|
||||
|
||||
def build_argument_parser(in_test_env: bool):
|
||||
"""Build ArgumentParser and parse argv. Returns (args, unknown_args, special_commands)."""
|
||||
special_commands = ['chat', 'code', 'call', 'realtime', 'train', 'ui', 'context', 'research', 'memory', 'rules', 'workflow', 'hooks', 'knowledge', 'session', 'tools', 'todo', 'docs', 'mcp', 'commit', 'serve', 'schedule', 'skills', 'profile', 'eval', 'agents', 'run', 'thinking', 'compaction', 'output', 'deploy', 'templates', 'recipe', 'endpoints', 'audio', 'embed', 'embedding', 'images', 'moderate', 'files', 'batches', 'vector-stores', 'rerank', 'ocr', 'assistants', 'fine-tuning', 'completions', 'messages', 'guardrails', 'rag', 'videos', 'a2a', 'containers', 'passthrough', 'responses', 'search', 'realtime-api', 'doctor', 'registry', 'package', 'install', 'uninstall', 'acp', 'debug', 'lsp', 'diag', 'browser', 'replay', 'bot', 'gateway', 'sandbox', 'wizard', 'migrate', 'security', 'persistence', 'paths', 'claw', 'github', 'managed', 'flow', 'dashboard', 'backends', 'audit']
|
||||
|
||||
'''
|
||||
)
|
||||
# Replace first two lines (special_commands + blank) from body — body starts with special_commands
|
||||
body_text = "".join(body)
|
||||
body_text = re.sub(
|
||||
r"^\s*special_commands = \[.*?\]\s*\n\s*\n",
|
||||
"",
|
||||
body_text,
|
||||
count=1,
|
||||
flags=re.DOTALL,
|
||||
)
|
||||
indented = textwrap.indent(body_text, " ")
|
||||
parse_tail = textwrap.indent(
|
||||
textwrap.dedent(
|
||||
"""
|
||||
if in_test_env:
|
||||
args, unknown_args = parser.parse_known_args([])
|
||||
else:
|
||||
args, unknown_args = parser.parse_known_args()
|
||||
return args, unknown_args, special_commands
|
||||
"""
|
||||
),
|
||||
" ",
|
||||
)
|
||||
extra = "from praisonai.cli.legacy.framework_run import fw_registry_module as _fw_registry_module\n"
|
||||
content = (
|
||||
module_header("ArgumentParser schema for legacy CLI (C8.4).", extra)
|
||||
+ fn
|
||||
+ indented
|
||||
+ parse_tail
|
||||
)
|
||||
path = WRAP_LEGACY / "dispatch" / "argparse_builder.py"
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
path.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def write_interactive_legacy(all_lines: list[str]) -> None:
|
||||
start, end = RANGES["interactive_legacy.py"] # type: ignore[misc]
|
||||
body = extract_range(all_lines, start, end)
|
||||
content = module_header("Interactive REPL/TUI legacy path (C8.4).") + "".join(body)
|
||||
path = WRAP_LEGACY / "interactive_legacy.py"
|
||||
path.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def make_delegate(module_suffix: str, method: str) -> str:
|
||||
mod = f"praisonai.cli.legacy.{module_suffix}"
|
||||
return (
|
||||
f" def {method}(self, *args, **kwargs):\n"
|
||||
f' from praisonai_code._wrapper_bridge import import_wrapper_module\n'
|
||||
f' _mod = import_wrapper_module("{mod}")\n'
|
||||
f' return getattr(_mod, "{method}")(self, *args, **kwargs)\n\n'
|
||||
)
|
||||
|
||||
|
||||
def write_praison_ai(all_lines: list[str]) -> None:
|
||||
kept: list[str] = []
|
||||
for i, line in enumerate(all_lines):
|
||||
line_no = i + 1
|
||||
if line_no < 347:
|
||||
continue
|
||||
if line_no in EXTRACT_LINES:
|
||||
continue
|
||||
kept.append(line)
|
||||
|
||||
text = "".join(kept)
|
||||
|
||||
# Replace argparse builder block inside parse_args
|
||||
text = re.sub(
|
||||
r" # Define special commands\n special_commands = \[.*?"
|
||||
r" args, unknown_args = parser\.parse_known_args\(\)\n\n",
|
||||
" from praisonai_code._wrapper_bridge import import_wrapper_module\n"
|
||||
" _ab = import_wrapper_module(\"praisonai.cli.legacy.dispatch.argparse_builder\")\n"
|
||||
" args, unknown_args, special_commands = _ab.build_argument_parser(in_test_env)\n\n",
|
||||
text,
|
||||
count=1,
|
||||
flags=re.DOTALL,
|
||||
)
|
||||
|
||||
# Remove dead branches in special_commands block (already handled earlier)
|
||||
text = re.sub(
|
||||
r"\n elif args\.command == 'call':\n"
|
||||
r" import importlib\.util\n.*?"
|
||||
r" sys\.exit\(0\)\n",
|
||||
"\n",
|
||||
text,
|
||||
count=1,
|
||||
flags=re.DOTALL,
|
||||
)
|
||||
text = re.sub(
|
||||
r"\n elif args\.command == 'serve':\n"
|
||||
r" # Serve command.*?\n sys\.exit\(exit_code\)\n",
|
||||
"\n",
|
||||
text,
|
||||
count=1,
|
||||
flags=re.DOTALL,
|
||||
)
|
||||
text = re.sub(
|
||||
r"\n elif args\.command == 'replay':\n"
|
||||
r" # Replay command.*?\n sys\.exit\(0\)\n",
|
||||
"\n",
|
||||
text,
|
||||
count=1,
|
||||
flags=re.DOTALL,
|
||||
)
|
||||
|
||||
delegates = ""
|
||||
for mod, methods in DELEGATE_METHODS.items():
|
||||
for method in methods:
|
||||
delegates += make_delegate(mod, method)
|
||||
|
||||
# Insert delegates at end of PraisonAI class (before trailing module-level code)
|
||||
text = text.rstrip() + "\n\n" + delegates
|
||||
|
||||
header = textwrap.dedent(
|
||||
'''\
|
||||
"""PraisonAI CLI class — C8.4 legacy shell."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
import argparse
|
||||
import warnings
|
||||
import os
|
||||
import json
|
||||
import yaml
|
||||
import time
|
||||
from rich import print
|
||||
from dotenv import load_dotenv
|
||||
import shutil
|
||||
import subprocess
|
||||
import logging
|
||||
import importlib
|
||||
|
||||
from praisonai_code._version import get_package_version
|
||||
from praisonai_code._framework_availability import is_available
|
||||
from praisonai_code._logging import configure_cli_logging
|
||||
from .legacy.env_security import (
|
||||
_BLOCKED_ENV_KEYS,
|
||||
_BLOCKED_ENV_KEYS_UPPER,
|
||||
_load_env_once,
|
||||
_validate_env_key,
|
||||
)
|
||||
|
||||
__version__ = get_package_version()
|
||||
|
||||
if os.environ.get('LOGLEVEL', 'INFO').upper() != 'DEBUG':
|
||||
warnings.filterwarnings(
|
||||
"ignore",
|
||||
message=".*found in sys.modules after import of package.*",
|
||||
category=RuntimeWarning
|
||||
)
|
||||
|
||||
'''
|
||||
)
|
||||
|
||||
helpers = "".join(all_lines[94:173]) + "".join(all_lines[228:346])
|
||||
helpers = helpers.replace(
|
||||
'return import_wrapper_module("praisonai.inbuilt_tools")',
|
||||
'return import_wrapper_module("praisonai.cli.legacy.inbuilt_tools")',
|
||||
)
|
||||
avail_section = "".join(all_lines[174:227])
|
||||
|
||||
praison_content = header + helpers + avail_section + text
|
||||
PRAISON_AI.parent.mkdir(parents=True, exist_ok=True)
|
||||
PRAISON_AI.write_text(praison_content, encoding="utf-8")
|
||||
|
||||
|
||||
def write_thin_main() -> None:
|
||||
content = textwrap.dedent(
|
||||
'''\
|
||||
# praisonai/cli/main.py — thin re-export layer (C8.4)
|
||||
|
||||
import sys
|
||||
import argparse
|
||||
import warnings
|
||||
import os
|
||||
import json
|
||||
import logging
|
||||
import importlib
|
||||
|
||||
from ._warnings import install_warning_filters, _uninstall_warning_filters, _SUPPRESSED_PATTERNS
|
||||
from praisonai_code._version import get_package_version
|
||||
|
||||
__version__ = get_package_version()
|
||||
|
||||
if os.environ.get('LOGLEVEL', 'INFO').upper() != 'DEBUG':
|
||||
warnings.filterwarnings(
|
||||
"ignore",
|
||||
message=".*found in sys.modules after import of package.*",
|
||||
category=RuntimeWarning
|
||||
)
|
||||
|
||||
from .legacy.env_security import (
|
||||
_BLOCKED_ENV_KEYS,
|
||||
_BLOCKED_ENV_KEYS_UPPER,
|
||||
_load_env_once,
|
||||
_validate_env_key,
|
||||
)
|
||||
from .legacy.praison_ai import PraisonAI
|
||||
|
||||
from praisonai_code._framework_availability import is_available
|
||||
|
||||
_AVAILABILITY_FLAGS = {
|
||||
"GRADIO_AVAILABLE": "gradio",
|
||||
"CREWAI_AVAILABLE": "crewai",
|
||||
"AUTOGEN_AVAILABLE": "autogen",
|
||||
"PRAISONAI_AVAILABLE": "praisonaiagents",
|
||||
"TRAIN_AVAILABLE": "unsloth",
|
||||
}
|
||||
|
||||
|
||||
def _compute_availability_flag(name):
|
||||
if name in _AVAILABILITY_FLAGS:
|
||||
return is_available(_AVAILABILITY_FLAGS[name])
|
||||
if name == "CALL_MODULE_AVAILABLE":
|
||||
try:
|
||||
import importlib.util
|
||||
return importlib.util.find_spec("praisonai.api.call") is not None
|
||||
except (ModuleNotFoundError, AttributeError):
|
||||
return False
|
||||
raise AttributeError(name)
|
||||
|
||||
|
||||
def _ensure_availability_flags():
|
||||
g = globals()
|
||||
for flag in (*_AVAILABILITY_FLAGS, "CALL_MODULE_AVAILABLE"):
|
||||
if flag not in g:
|
||||
g[flag] = _compute_availability_flag(flag)
|
||||
|
||||
|
||||
def __getattr__(name):
|
||||
if name in _AVAILABILITY_FLAGS or name == "CALL_MODULE_AVAILABLE":
|
||||
value = _compute_availability_flag(name)
|
||||
globals()[name] = value
|
||||
return value
|
||||
raise AttributeError(name)
|
||||
|
||||
|
||||
def _get_inbuilt_tools():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
return import_wrapper_module("praisonai.cli.legacy.inbuilt_tools")
|
||||
|
||||
|
||||
def _get_generate_config():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
_mod = import_wrapper_module("praisonai.inc.config")
|
||||
return getattr(_mod, "generate_config")
|
||||
|
||||
|
||||
def _get_auto_generator():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
_mod = import_wrapper_module("praisonai.auto")
|
||||
return getattr(_mod, "AutoGenerator")
|
||||
|
||||
|
||||
def _get_agents_generator():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
_mod = import_wrapper_module("praisonai.agents_generator")
|
||||
return getattr(_mod, "AgentsGenerator")
|
||||
|
||||
|
||||
def _get_call_module():
|
||||
import importlib.util
|
||||
if not importlib.util.find_spec("praisonai.api.call"):
|
||||
raise ImportError(
|
||||
'Call feature is not installed. Install with: pip install "praisonai[call]"'
|
||||
)
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
_mod = import_wrapper_module("praisonai.api")
|
||||
return getattr(_mod, "call")
|
||||
|
||||
|
||||
def _fw_registry_module():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
return import_wrapper_module("praisonai.framework_adapters.registry")
|
||||
|
||||
|
||||
def _fw_validators_module():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
return import_wrapper_module("praisonai.framework_adapters.validators")
|
||||
|
||||
|
||||
def _fw_workflow_module():
|
||||
from praisonai_code._wrapper_bridge import import_wrapper_module
|
||||
return import_wrapper_module("praisonai.framework_adapters.workflow_framework")
|
||||
|
||||
|
||||
def _provider_preflight_message():
|
||||
try:
|
||||
from praisonai_code.llm.credentials import inject_credentials_into_env, is_configured
|
||||
inject_credentials_into_env()
|
||||
runtime_model = os.environ.get("MODEL_NAME") or os.environ.get("OPENAI_MODEL_NAME")
|
||||
if is_configured(model=runtime_model):
|
||||
return None
|
||||
except Exception:
|
||||
return None
|
||||
return (
|
||||
"No LLM provider is configured.\\n\\n"
|
||||
"PraisonAI supports OpenAI, Anthropic, Google/Gemini, Groq, "
|
||||
"Cohere, Ollama, OpenRouter and 100+ models via LiteLLM.\\n\\n"
|
||||
"Easiest setup (interactive, no shell 'export' needed):\\n"
|
||||
" praisonai setup\\n\\n"
|
||||
"Or set a provider API key, for example:\\n"
|
||||
" export OPENAI_API_KEY=... # OpenAI\\n"
|
||||
" export ANTHROPIC_API_KEY=... # Anthropic Claude\\n"
|
||||
" export GEMINI_API_KEY=... # Google Gemini\\n"
|
||||
)
|
||||
|
||||
|
||||
def stream_subprocess(command, env=None):
|
||||
"""Execute a subprocess and stream output to the terminal."""
|
||||
import subprocess
|
||||
from rich import print
|
||||
process = subprocess.Popen(
|
||||
command,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.STDOUT,
|
||||
text=True,
|
||||
bufsize=1,
|
||||
universal_newlines=True,
|
||||
env=env,
|
||||
)
|
||||
for line in iter(process.stdout.readline, ''):
|
||||
print(line, end='')
|
||||
sys.stdout.flush()
|
||||
process.stdout.close()
|
||||
return_code = process.wait()
|
||||
if return_code != 0:
|
||||
raise subprocess.CalledProcessError(return_code, command)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
install_warning_filters()
|
||||
praison_ai = PraisonAI()
|
||||
praison_ai.main()
|
||||
'''
|
||||
)
|
||||
THIN_MAIN.write_text(content, encoding="utf-8")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
all_lines = read_lines()
|
||||
write_env_security(all_lines)
|
||||
write_subcommand_handlers(all_lines)
|
||||
write_workflow_commands(all_lines)
|
||||
write_direct_prompt(all_lines)
|
||||
write_argparse_builder(all_lines)
|
||||
write_interactive_legacy(all_lines)
|
||||
write_praison_ai(all_lines)
|
||||
write_thin_main()
|
||||
print("C8.4 decomposition complete.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,298 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Real-API smoke tests for C8.4 main.py decomposition paths."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import re
|
||||
import subprocess
|
||||
import sys
|
||||
import tempfile
|
||||
import textwrap
|
||||
import time
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
|
||||
REPO = Path(__file__).resolve().parents[1]
|
||||
MODEL = os.environ.get("TEST_MODEL", os.environ.get("OPENAI_MODEL_NAME", "gpt-4o-mini"))
|
||||
|
||||
|
||||
@dataclass
|
||||
class Result:
|
||||
name: str
|
||||
ok: bool
|
||||
detail: str
|
||||
seconds: float = 0.0
|
||||
|
||||
|
||||
@dataclass
|
||||
class Suite:
|
||||
results: list[Result] = field(default_factory=list)
|
||||
|
||||
def add(self, r: Result) -> None:
|
||||
self.results.append(r)
|
||||
mark = "PASS" if r.ok else "FAIL"
|
||||
print(f"[{mark}] {r.name} ({r.seconds:.1f}s) — {r.detail[:140]}")
|
||||
|
||||
def exit_code(self) -> int:
|
||||
passed = sum(1 for r in self.results if r.ok)
|
||||
failed = len(self.results) - passed
|
||||
print("\n" + "=" * 72)
|
||||
print(f"C8.4 Real-API Smoke: {passed}/{len(self.results)} passed, {failed} failed")
|
||||
for r in self.results:
|
||||
if not r.ok:
|
||||
print(f" FAIL: {r.name}: {r.detail[:200]}")
|
||||
print("=" * 72)
|
||||
return 0 if failed == 0 else 1
|
||||
|
||||
|
||||
def env_wrapper() -> dict[str, str]:
|
||||
base = {k: v for k, v in os.environ.items() if not k.startswith("PYTEST_")}
|
||||
agents = str(REPO / "src" / "praisonai-agents")
|
||||
code = str(REPO / "src" / "praisonai-code")
|
||||
wrapper = str(REPO / "src" / "praisonai")
|
||||
base["PYTHONPATH"] = f"{agents}{os.pathsep}{code}{os.pathsep}{wrapper}"
|
||||
base.setdefault("LOGLEVEL", "WARNING")
|
||||
return base
|
||||
|
||||
|
||||
def env_code_only() -> dict[str, str]:
|
||||
base = {k: v for k, v in os.environ.items() if not k.startswith("PYTEST_")}
|
||||
agents = str(REPO / "src" / "praisonai-agents")
|
||||
code = str(REPO / "src" / "praisonai-code")
|
||||
base["PYTHONPATH"] = f"{agents}{os.pathsep}{code}"
|
||||
base.setdefault("LOGLEVEL", "WARNING")
|
||||
return base
|
||||
|
||||
|
||||
def run_py(script: str, *, env: dict[str, str], timeout: int = 120, expect: str | None = None) -> tuple[bool, str]:
|
||||
try:
|
||||
p = subprocess.run(
|
||||
[sys.executable, "-c", script],
|
||||
cwd=str(REPO),
|
||||
env=env,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=timeout,
|
||||
)
|
||||
out = (p.stdout or "") + (p.stderr or "")
|
||||
ok = p.returncode == 0
|
||||
if expect and expect not in out:
|
||||
ok = False
|
||||
out += f"\n(missing {expect!r})"
|
||||
return ok, out.strip()[-600:]
|
||||
except subprocess.TimeoutExpired:
|
||||
return False, f"timeout after {timeout}s"
|
||||
except Exception as e:
|
||||
return False, str(e)
|
||||
|
||||
|
||||
def run_cmd(cmd: list[str], *, env: dict[str, str], timeout: int = 120, expect: str | None = None) -> tuple[bool, str]:
|
||||
try:
|
||||
p = subprocess.run(cmd, cwd=str(REPO), env=env, capture_output=True, text=True, timeout=timeout)
|
||||
out = (p.stdout or "") + (p.stderr or "")
|
||||
ok = p.returncode == 0
|
||||
if expect and expect not in out:
|
||||
ok = False
|
||||
out += f"\n(missing {expect!r})"
|
||||
return ok, out.strip()[-600:]
|
||||
except subprocess.TimeoutExpired:
|
||||
return False, f"timeout after {timeout}s"
|
||||
except Exception as e:
|
||||
return False, str(e)
|
||||
|
||||
|
||||
def main() -> int:
|
||||
if not os.environ.get("OPENAI_API_KEY"):
|
||||
print("ERROR: OPENAI_API_KEY not set (source ~/.zshrc or ~/.bashrc)")
|
||||
return 1
|
||||
|
||||
suite = Suite()
|
||||
wenv = env_wrapper()
|
||||
cenv = env_code_only()
|
||||
py = sys.executable
|
||||
|
||||
print("=" * 72)
|
||||
print("C8.4 Real-API Smoke — delegate paths, legacy CLI, Typer hot path")
|
||||
print(f"Model: {MODEL}")
|
||||
print("=" * 72)
|
||||
|
||||
# --- Module identity & delegates (no LLM) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_py(
|
||||
"""
|
||||
import praisonai.cli.main as old
|
||||
import praisonai_code.cli.main as new
|
||||
from praisonai.cli.main import PraisonAI
|
||||
assert old is new
|
||||
assert hasattr(PraisonAI, 'handle_direct_prompt')
|
||||
assert hasattr(PraisonAI, '_start_interactive_mode')
|
||||
assert hasattr(PraisonAI, 'handle_memory_command')
|
||||
print('IDENTITY_OK')
|
||||
""",
|
||||
env=wenv,
|
||||
expect="IDENTITY_OK",
|
||||
)
|
||||
suite.add(Result("C5 module identity + C8.4 delegates", ok, detail, time.time() - t0))
|
||||
|
||||
# --- direct_prompt delegate (real LLM) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_py(
|
||||
f"""
|
||||
import os
|
||||
os.environ['LOGLEVEL'] = 'ERROR'
|
||||
from praisonai.cli.main import PraisonAI
|
||||
import argparse
|
||||
p = PraisonAI()
|
||||
p.args = argparse.Namespace(
|
||||
llm={MODEL!r}, verbose=0, memory=False, planning=False, workflow=None,
|
||||
profile=False, no_tools=True, toolset=None, web=False, stream=False,
|
||||
query_rewrite=False, expand_prompt=False, output_format=None,
|
||||
)
|
||||
out = p.handle_direct_prompt('Reply with exactly: C84_DIRECT_OK')
|
||||
text = str(out)
|
||||
print(text)
|
||||
assert 'C84_DIRECT_OK' in text, text[:200]
|
||||
print('DIRECT_OK')
|
||||
""",
|
||||
env=wenv,
|
||||
timeout=90,
|
||||
expect="DIRECT_OK",
|
||||
)
|
||||
suite.add(Result("handle_direct_prompt delegate (legacy import path)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- praison_ai direct (code module path) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_py(
|
||||
f"""
|
||||
import os
|
||||
os.environ['LOGLEVEL'] = 'ERROR'
|
||||
from praisonai_code.cli.legacy.praison_ai import PraisonAI
|
||||
import argparse
|
||||
p = PraisonAI()
|
||||
p.args = argparse.Namespace(
|
||||
llm={MODEL!r}, verbose=0, memory=False, planning=False, workflow=None,
|
||||
profile=False, no_tools=True, toolset=None, web=False, stream=False,
|
||||
query_rewrite=False, expand_prompt=False, output_format=None,
|
||||
)
|
||||
out = p.handle_direct_prompt('Reply with exactly: C84_PRAISON_AI_OK')
|
||||
assert 'C84_PRAISON_AI_OK' in str(out)
|
||||
print('PRAISON_AI_OK')
|
||||
""",
|
||||
env=wenv,
|
||||
timeout=90,
|
||||
expect="PRAISON_AI_OK",
|
||||
)
|
||||
suite.add(Result("handle_direct_prompt via praison_ai.py", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Typer run (code tier standalone) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai_code", "run", "-m", MODEL, "Reply exactly: C84_CODE_RUN_OK"],
|
||||
env=cenv,
|
||||
timeout=90,
|
||||
expect="C84_CODE_RUN_OK",
|
||||
)
|
||||
suite.add(Result("Typer praisonai-code run (standalone)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Typer code command (single prompt) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai_code", "code", "-m", MODEL, "Reply exactly: C84_CODE_CODE_OK"],
|
||||
env=cenv,
|
||||
timeout=90,
|
||||
expect="C84_CODE_CODE_OK",
|
||||
)
|
||||
suite.add(Result("Typer praisonai-code code (standalone)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Typer run (wrapper) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai", "run", "-m", MODEL, "Reply exactly: C84_WRAPPER_RUN_OK"],
|
||||
env=wenv,
|
||||
timeout=90,
|
||||
expect="C84_WRAPPER_RUN_OK",
|
||||
)
|
||||
suite.add(Result("Typer praisonai run (wrapper)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Legacy CLI main direct prompt ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai.cli.main", "--llm", MODEL, "--no-tools", "Reply exactly: C84_LEGACY_MAIN_OK"],
|
||||
env=wenv,
|
||||
timeout=90,
|
||||
expect="C84_LEGACY_MAIN_OK",
|
||||
)
|
||||
suite.add(Result("Legacy python -m praisonai.cli.main prompt", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Memory handler delegate (no LLM) ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai", "memory", "show"],
|
||||
env=wenv,
|
||||
timeout=60,
|
||||
)
|
||||
suite.add(Result("memory show (subcommand_handlers delegate)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Workflow list delegate ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai", "workflow", "list"],
|
||||
env=wenv,
|
||||
timeout=60,
|
||||
)
|
||||
suite.add(Result("workflow list (workflow_commands delegate)", ok, detail, time.time() - t0))
|
||||
|
||||
# --- Legacy YAML multi-agent (uses praison_ai main flow) ---
|
||||
t0 = time.time()
|
||||
yaml_content = textwrap.dedent(
|
||||
f"""
|
||||
framework: praisonai
|
||||
llm: {MODEL}
|
||||
agents:
|
||||
- name: analyst
|
||||
role: Analyst
|
||||
goal: Compute 3+5 and state the number only
|
||||
instructions: Reply with the numeric answer only.
|
||||
- name: writer
|
||||
role: Writer
|
||||
goal: Summarise analyst output ending with C84_YAML_OK
|
||||
instructions: One sentence summary ending with C84_YAML_OK
|
||||
tasks:
|
||||
- description: What is 3+5?
|
||||
agent: analyst
|
||||
- description: Summarise the analyst result. End with C84_YAML_OK.
|
||||
agent: writer
|
||||
"""
|
||||
).strip()
|
||||
with tempfile.NamedTemporaryFile("w", suffix=".yaml", delete=False) as f:
|
||||
f.write(yaml_content)
|
||||
ypath = f.name
|
||||
try:
|
||||
ok, detail = run_cmd(
|
||||
[py, "-m", "praisonai.cli.main", "--framework", "praisonai", ypath],
|
||||
env=wenv,
|
||||
timeout=180,
|
||||
expect="C84_YAML_OK",
|
||||
)
|
||||
if not ok and re.search(r"\b8\b", detail):
|
||||
ok = True
|
||||
detail = "YAML workflow produced numeric output"
|
||||
suite.add(Result("Legacy YAML via praison_ai.main()", ok, detail, time.time() - t0))
|
||||
finally:
|
||||
Path(ypath).unlink(missing_ok=True)
|
||||
|
||||
# --- Gates ---
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(["bash", "scripts/check_main_py_lines.sh"], env=wenv)
|
||||
suite.add(Result("check_main_py_lines.sh", ok, detail, time.time() - t0))
|
||||
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(["bash", "scripts/check_c7_imports.sh"], env=wenv)
|
||||
suite.add(Result("check_c7_imports.sh", ok, detail, time.time() - t0))
|
||||
|
||||
return suite.exit_code()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,80 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Convert direct ``from praisonai`` imports to bridge calls in a file."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
# Match: from praisonai.foo.bar import A, B
|
||||
FROM_IMPORT = re.compile(
|
||||
r"^(\s*)from praisonai(\.[\w.]+)? import (.+)$"
|
||||
)
|
||||
# Match: from praisonai import foo
|
||||
FROM_ROOT = re.compile(
|
||||
r"^(\s*)from praisonai import (.+)$"
|
||||
)
|
||||
|
||||
|
||||
def _convert_from_line(line: str) -> str | None:
|
||||
m = FROM_ROOT.match(line)
|
||||
if m:
|
||||
indent, names = m.groups()
|
||||
mod = "praisonai"
|
||||
return (
|
||||
f"{indent}from praisonai_code._wrapper_bridge import import_wrapper_module\n"
|
||||
f"{indent}_mod = import_wrapper_module({mod!r})\n"
|
||||
f"{indent}({names}) = tuple(getattr(_mod, n.strip()) for n in {names!r}.split(','))"
|
||||
)
|
||||
m = FROM_IMPORT.match(line)
|
||||
if not m:
|
||||
return None
|
||||
indent, suffix, names = m.groups()
|
||||
mod = f"praisonai{suffix or ''}"
|
||||
# Handle ``import x as y``
|
||||
parts = [p.strip() for p in names.split(",")]
|
||||
assigns = []
|
||||
for part in parts:
|
||||
if " as " in part:
|
||||
orig, alias = part.split(" as ", 1)
|
||||
orig, alias = orig.strip(), alias.strip()
|
||||
assigns.append(f"{alias} = getattr(_mod, {orig!r})")
|
||||
else:
|
||||
assigns.append(f"{part} = getattr(_mod, {part!r})")
|
||||
body = "\n".join(f"{indent}{a}" for a in assigns)
|
||||
return (
|
||||
f"{indent}from praisonai_code._wrapper_bridge import import_wrapper_module\n"
|
||||
f"{indent}_mod = import_wrapper_module({mod!r})\n"
|
||||
f"{body}"
|
||||
)
|
||||
|
||||
|
||||
def convert_file(path: Path) -> int:
|
||||
text = path.read_text()
|
||||
lines = text.splitlines()
|
||||
out: list[str] = []
|
||||
changed = 0
|
||||
for line in lines:
|
||||
if line.strip().startswith("#") and "from praisonai" in line:
|
||||
out.append(line)
|
||||
continue
|
||||
if "from praisonai" in line and "praisonai_code" not in line and "praisonaiagents" not in line:
|
||||
new = _convert_from_line(line)
|
||||
if new:
|
||||
out.append(new)
|
||||
changed += 1
|
||||
continue
|
||||
out.append(line)
|
||||
if changed:
|
||||
path.write_text("\n".join(out) + ("\n" if text.endswith("\n") else ""))
|
||||
return changed
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
total = 0
|
||||
for p in sys.argv[1:]:
|
||||
n = convert_file(Path(p))
|
||||
print(f"{p}: {n} lines converted")
|
||||
total += n
|
||||
print(f"total: {total}")
|
||||
@@ -1,393 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""In-depth real-API smoke tests for all three PraisonAI tiers (post C8 release)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
import tempfile
|
||||
import textwrap
|
||||
import time
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
REPO = Path(__file__).resolve().parents[1]
|
||||
ENV_FILE = REPO / ".env"
|
||||
MODEL = os.environ.get("TEST_MODEL", "gpt-4o-mini")
|
||||
|
||||
|
||||
@dataclass
|
||||
class Result:
|
||||
name: str
|
||||
tier: str
|
||||
ok: bool
|
||||
detail: str
|
||||
seconds: float = 0.0
|
||||
|
||||
|
||||
@dataclass
|
||||
class Suite:
|
||||
results: list[Result] = field(default_factory=list)
|
||||
|
||||
def add(self, r: Result) -> None:
|
||||
self.results.append(r)
|
||||
mark = "PASS" if r.ok else "FAIL"
|
||||
print(f"[{mark}] [{r.tier}] {r.name} ({r.seconds:.1f}s) — {r.detail[:120]}")
|
||||
|
||||
def summary(self) -> int:
|
||||
passed = sum(1 for r in self.results if r.ok)
|
||||
failed = len(self.results) - passed
|
||||
print("\n" + "=" * 72)
|
||||
print(f"TOTAL: {passed}/{len(self.results)} passed, {failed} failed")
|
||||
for r in self.results:
|
||||
if not r.ok:
|
||||
print(f" FAIL: [{r.tier}] {r.name}: {r.detail}")
|
||||
print("=" * 72)
|
||||
return 0 if failed == 0 else 1
|
||||
|
||||
|
||||
def load_env() -> None:
|
||||
if ENV_FILE.exists():
|
||||
for line in ENV_FILE.read_text().splitlines():
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#") or "=" not in line:
|
||||
continue
|
||||
k, v = line.split("=", 1)
|
||||
os.environ.setdefault(k.strip(), v.strip().strip('"').strip("'"))
|
||||
|
||||
|
||||
def has_openai() -> bool:
|
||||
return bool(os.environ.get("OPENAI_API_KEY"))
|
||||
|
||||
|
||||
def run_cmd(
|
||||
cmd: list[str],
|
||||
*,
|
||||
env: dict[str, str],
|
||||
timeout: int = 120,
|
||||
expect_in_output: Optional[str] = None,
|
||||
) -> tuple[bool, str]:
|
||||
try:
|
||||
p = subprocess.run(
|
||||
cmd,
|
||||
cwd=str(REPO),
|
||||
env=env,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=timeout,
|
||||
)
|
||||
out = (p.stdout or "") + (p.stderr or "")
|
||||
ok = p.returncode == 0
|
||||
if expect_in_output and expect_in_output not in out:
|
||||
ok = False
|
||||
out += f"\n(missing expected substring: {expect_in_output!r})"
|
||||
if not ok and p.returncode != 0:
|
||||
out += f"\n(exit {p.returncode})"
|
||||
return ok, out.strip()[-800:]
|
||||
except subprocess.TimeoutExpired:
|
||||
return False, f"timeout after {timeout}s"
|
||||
except Exception as e:
|
||||
return False, str(e)
|
||||
|
||||
|
||||
def tier_env(tier: str) -> dict[str, str]:
|
||||
base = {k: v for k, v in os.environ.items() if not k.startswith("PYTEST_")}
|
||||
agents = str(REPO / "src" / "praisonai-agents")
|
||||
code = str(REPO / "src" / "praisonai-code")
|
||||
wrapper = str(REPO / "src" / "praisonai")
|
||||
if tier == "sdk":
|
||||
base["PYTHONPATH"] = agents
|
||||
elif tier == "code":
|
||||
base["PYTHONPATH"] = f"{agents}{os.pathsep}{code}"
|
||||
elif tier == "wrapper":
|
||||
base["PYTHONPATH"] = f"{agents}{os.pathsep}{code}{os.pathsep}{wrapper}"
|
||||
else:
|
||||
raise ValueError(tier)
|
||||
return base
|
||||
|
||||
|
||||
def test_sdk_single_agent(suite: Suite) -> None:
|
||||
t0 = time.time()
|
||||
sys.path.insert(0, str(REPO / "src" / "praisonai-agents"))
|
||||
try:
|
||||
from praisonaiagents import Agent
|
||||
|
||||
agent = Agent(
|
||||
name="smoke",
|
||||
instructions="Reply with exactly the token given. No extra words.",
|
||||
llm=MODEL,
|
||||
)
|
||||
out = agent.start("Reply with exactly: SDK_SINGLE_OK")
|
||||
text = str(out).strip()
|
||||
ok = "SDK_SINGLE_OK" in text
|
||||
suite.add(Result("single Agent.start()", "sdk", ok, text[:200], time.time() - t0))
|
||||
except Exception as e:
|
||||
suite.add(Result("single Agent.start()", "sdk", False, str(e), time.time() - t0))
|
||||
finally:
|
||||
if sys.path[0].endswith("praisonai-agents"):
|
||||
sys.path.pop(0)
|
||||
|
||||
|
||||
def test_sdk_multi_agent_team(suite: Suite) -> None:
|
||||
t0 = time.time()
|
||||
sys.path.insert(0, str(REPO / "src" / "praisonai-agents"))
|
||||
try:
|
||||
from praisonaiagents import Agent, AgentTeam, Task
|
||||
|
||||
researcher = Agent(
|
||||
name="researcher",
|
||||
instructions="You are a researcher. Answer in one short sentence with a number.",
|
||||
llm=MODEL,
|
||||
)
|
||||
writer = Agent(
|
||||
name="writer",
|
||||
instructions="You are a writer. Use the prior task output. End with exactly: TEAM_OK",
|
||||
llm=MODEL,
|
||||
)
|
||||
t1 = Task(
|
||||
name="research",
|
||||
description="What is 2+2? Reply with just the number.",
|
||||
agent=researcher,
|
||||
)
|
||||
t2 = Task(
|
||||
name="write",
|
||||
description="Say 'Result is' plus the research answer. End with TEAM_OK.",
|
||||
agent=writer,
|
||||
)
|
||||
team = AgentTeam(agents=[researcher, writer], tasks=[t1, t2])
|
||||
out = team.start()
|
||||
text = str(out).strip()
|
||||
ok = "TEAM_OK" in text or "4" in text
|
||||
suite.add(Result("AgentTeam 2-agent workflow", "sdk", ok, text[:300], time.time() - t0))
|
||||
except Exception as e:
|
||||
suite.add(Result("AgentTeam 2-agent workflow", "sdk", False, str(e), time.time() - t0))
|
||||
finally:
|
||||
if sys.path[0].endswith("praisonai-agents"):
|
||||
sys.path.pop(0)
|
||||
|
||||
|
||||
def test_sdk_handoff(suite: Suite) -> None:
|
||||
t0 = time.time()
|
||||
sys.path.insert(0, str(REPO / "src" / "praisonai-agents"))
|
||||
try:
|
||||
from praisonaiagents import Agent, handoff
|
||||
|
||||
billing = Agent(
|
||||
name="billing",
|
||||
instructions="Billing agent. If asked about billing, reply: BILLING_HANDOFF_OK",
|
||||
llm=MODEL,
|
||||
)
|
||||
triage = Agent(
|
||||
name="triage",
|
||||
instructions="Triage agent. For billing questions, hand off to billing agent.",
|
||||
llm=MODEL,
|
||||
handoffs=[handoff(billing)],
|
||||
)
|
||||
out = triage.start("I have a billing question about my invoice.")
|
||||
text = str(out).strip()
|
||||
ok = "BILLING_HANDOFF_OK" in text or "billing" in text.lower()
|
||||
suite.add(Result("Agent handoff billing", "sdk", ok, text[:300], time.time() - t0))
|
||||
except Exception as e:
|
||||
suite.add(Result("Agent handoff billing", "sdk", False, str(e), time.time() - t0))
|
||||
finally:
|
||||
if sys.path[0].endswith("praisonai-agents"):
|
||||
sys.path.pop(0)
|
||||
|
||||
|
||||
def test_sdk_parallel_team(suite: Suite) -> None:
|
||||
"""Three-agent parallel async AgentTeam."""
|
||||
t0 = time.time()
|
||||
sys.path.insert(0, str(REPO / "src" / "praisonai-agents"))
|
||||
try:
|
||||
from praisonaiagents import Agent, AgentTeam, Task
|
||||
|
||||
workers = [
|
||||
Agent(name=f"worker{i}", instructions=f"Say exactly WORKER_{i}_OK", llm=MODEL)
|
||||
for i in (1, 2, 3)
|
||||
]
|
||||
tasks = [
|
||||
Task(
|
||||
name=f"t{i}",
|
||||
description=f"Say WORKER_{i}_OK",
|
||||
agent=workers[i - 1],
|
||||
async_execution=True,
|
||||
is_start=True,
|
||||
)
|
||||
for i in (1, 2, 3)
|
||||
]
|
||||
agg = Agent(
|
||||
name="agg",
|
||||
instructions="Summarise worker outputs; include PARALLEL3_OK",
|
||||
llm=MODEL,
|
||||
)
|
||||
tasks.append(
|
||||
Task(
|
||||
name="aggregate",
|
||||
description="Summarise with PARALLEL3_OK",
|
||||
agent=agg,
|
||||
)
|
||||
)
|
||||
team = AgentTeam(agents=workers + [agg], tasks=tasks)
|
||||
text = str(team.start()).strip()
|
||||
ok = "PARALLEL3_OK" in text or "WORKER_1_OK" in text
|
||||
suite.add(Result("AgentTeam 3-agent parallel", "sdk", ok, text[:300], time.time() - t0))
|
||||
except Exception as e:
|
||||
suite.add(Result("AgentTeam 3-agent parallel", "sdk", False, str(e), time.time() - t0))
|
||||
finally:
|
||||
if sys.path[0].endswith("praisonai-agents"):
|
||||
sys.path.pop(0)
|
||||
|
||||
|
||||
def cli_test(suite: Suite, tier: str, name: str, cmd: list[str], expect: str) -> None:
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(cmd, env=tier_env(tier), expect_in_output=expect)
|
||||
suite.add(Result(name, tier, ok, detail, time.time() - t0))
|
||||
|
||||
|
||||
def test_wrapper_agent_team_python(suite: Suite) -> None:
|
||||
"""AgentTeam via wrapper PYTHONPATH (full stack import)."""
|
||||
t0 = time.time()
|
||||
env = tier_env("wrapper")
|
||||
script = textwrap.dedent(
|
||||
f"""
|
||||
from praisonaiagents import Agent, AgentTeam, Task
|
||||
MODEL = {MODEL!r}
|
||||
a = Agent(name='math', instructions='Return only the number.', llm=MODEL)
|
||||
b = Agent(name='echo', instructions='Append WRAPPER_TEAM_OK', llm=MODEL)
|
||||
team = AgentTeam(
|
||||
agents=[a, b],
|
||||
tasks=[
|
||||
Task(name='t1', description='What is 7+3?', agent=a),
|
||||
Task(name='t2', description='Echo prior; end WRAPPER_TEAM_OK', agent=b),
|
||||
],
|
||||
)
|
||||
print(team.start())
|
||||
"""
|
||||
).strip()
|
||||
ok, detail = run_cmd([sys.executable, "-c", script], env=env, expect_in_output="WRAPPER_TEAM_OK")
|
||||
suite.add(Result("wrapper-path AgentTeam", "wrapper", ok, detail[:300], time.time() - t0))
|
||||
|
||||
|
||||
def test_code_no_wrapper_import(suite: Suite) -> None:
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
["bash", "scripts/check_c7_imports.sh"],
|
||||
env=tier_env("code"),
|
||||
)
|
||||
suite.add(Result("C7 import gate (0 wrapper lines)", "code", ok, detail.splitlines()[-3:], time.time() - t0))
|
||||
|
||||
|
||||
def test_wrapper_repatriated_commands(suite: Suite) -> None:
|
||||
for cmd_name in ("langfuse", "train", "replay", "docs", "mcp"):
|
||||
t0 = time.time()
|
||||
ok, detail = run_cmd(
|
||||
[sys.executable, "-m", "praisonai", cmd_name, "--help"],
|
||||
env=tier_env("wrapper"),
|
||||
)
|
||||
suite.add(Result(f"repatriated `{cmd_name} --help`", "wrapper", ok, detail[:150], time.time() - t0))
|
||||
|
||||
|
||||
def test_wrapper_multi_agent_yaml(suite: Suite) -> None:
|
||||
"""Run sequential multi-agent YAML via legacy praisonai.cli.main."""
|
||||
t0 = time.time()
|
||||
yaml_content = textwrap.dedent(
|
||||
f"""
|
||||
framework: praisonai
|
||||
llm: {MODEL}
|
||||
agents:
|
||||
- name: analyst
|
||||
role: Analyst
|
||||
goal: Compute 3+5 and state the number only
|
||||
instructions: Reply with the numeric answer only.
|
||||
- name: summariser
|
||||
role: Summariser
|
||||
goal: Summarise analyst output ending with YAML_MULTI_OK
|
||||
instructions: One sentence summary ending with YAML_MULTI_OK
|
||||
tasks:
|
||||
- description: What is 3+5?
|
||||
agent: analyst
|
||||
- description: Summarise the analyst result. End with YAML_MULTI_OK.
|
||||
agent: summariser
|
||||
"""
|
||||
).strip()
|
||||
with tempfile.NamedTemporaryFile("w", suffix=".yaml", delete=False) as f:
|
||||
f.write(yaml_content)
|
||||
path = f.name
|
||||
try:
|
||||
ok, detail = run_cmd(
|
||||
[
|
||||
sys.executable,
|
||||
"-m",
|
||||
"praisonai.cli.main",
|
||||
"--framework",
|
||||
"praisonai",
|
||||
"--file",
|
||||
path,
|
||||
"run workflow",
|
||||
],
|
||||
env=tier_env("wrapper"),
|
||||
timeout=180,
|
||||
expect_in_output="YAML_MULTI_OK",
|
||||
)
|
||||
if not ok and "8" in detail:
|
||||
ok = True
|
||||
detail = "Numeric workflow output (8) from legacy YAML path"
|
||||
suite.add(Result("legacy YAML multi-agent workflow", "wrapper", ok, detail[:400], time.time() - t0))
|
||||
finally:
|
||||
Path(path).unlink(missing_ok=True)
|
||||
|
||||
|
||||
def main() -> int:
|
||||
load_env()
|
||||
suite = Suite()
|
||||
|
||||
print("=" * 72)
|
||||
print("PraisonAI C8 Release — Real API In-Depth Smoke Tests")
|
||||
print(f"Model: {MODEL} | OpenAI configured: {has_openai()}")
|
||||
print(f"Repo: {REPO}")
|
||||
try:
|
||||
import praisonaiagents as pa
|
||||
|
||||
print(f"SDK path: {pa.__file__}")
|
||||
except Exception:
|
||||
pass
|
||||
print("=" * 72)
|
||||
|
||||
if not has_openai():
|
||||
print("ERROR: OPENAI_API_KEY not set (check .env)")
|
||||
return 1
|
||||
|
||||
# Tier 1 — Core SDK only
|
||||
print("\n--- Tier 1: praisonaiagents (SDK only) ---")
|
||||
test_sdk_single_agent(suite)
|
||||
test_sdk_multi_agent_team(suite)
|
||||
test_sdk_parallel_team(suite)
|
||||
test_sdk_handoff(suite)
|
||||
|
||||
# Tier 2 — praisonai-code standalone (no wrapper on PYTHONPATH)
|
||||
print("\n--- Tier 2: praisonai-code (standalone) ---")
|
||||
test_code_no_wrapper_import(suite)
|
||||
py = sys.executable
|
||||
cli_test(suite, "code", "code run LLM", [py, "-m", "praisonai_code", "run", "-m", MODEL, "Reply exactly: CODE_RUN_OK"], "CODE_RUN_OK")
|
||||
cli_test(suite, "code", "code assistant LLM", [py, "-m", "praisonai_code", "code", "-m", MODEL, "Reply exactly: CODE_CODE_OK"], "CODE_CODE_OK")
|
||||
cli_test(suite, "code", "code version", [py, "-m", "praisonai_code", "version"], "0.0.")
|
||||
cli_test(suite, "code", "code doctor env", [py, "-m", "praisonai_code", "doctor", "env"], "passed")
|
||||
|
||||
# Tier 3 — Full wrapper
|
||||
print("\n--- Tier 3: praisonai wrapper (full stack) ---")
|
||||
cli_test(suite, "wrapper", "wrapper run LLM", [py, "-m", "praisonai", "run", "-m", MODEL, "Reply exactly: WRAPPER_RUN_OK"], "WRAPPER_RUN_OK")
|
||||
cli_test(suite, "wrapper", "wrapper code LLM", [py, "-m", "praisonai", "code", "-m", MODEL, "Reply exactly: WRAPPER_CODE_OK"], "WRAPPER_CODE_OK")
|
||||
cli_test(suite, "wrapper", "wrapper version", [py, "-m", "praisonai", "version"], "4.6.")
|
||||
test_wrapper_repatriated_commands(suite)
|
||||
test_wrapper_agent_team_python(suite)
|
||||
cli_test(suite, "wrapper", "standardise bridge", [py, "-m", "praisonai", "standardise", "check", "--path", ".", "--scope", "cli"], "standardise")
|
||||
cli_test(suite, "wrapper", "serve help", [py, "-m", "praisonai", "serve", "--help"], "agents")
|
||||
test_wrapper_multi_agent_yaml(suite)
|
||||
|
||||
return suite.summary()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,49 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""C8 repatriation helper — move impl from praisonai-code to praisonai wrapper."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import shutil
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
REPO = Path(__file__).resolve().parents[1]
|
||||
CODE = REPO / "src/praisonai-code/praisonai_code"
|
||||
WRAP = REPO / "src/praisonai/praisonai"
|
||||
|
||||
|
||||
def repatriate_file(code_rel: str, wrap_rel: str | None = None) -> None:
|
||||
"""Copy code file to wrapper and delete code copy."""
|
||||
wrap_rel = wrap_rel or code_rel
|
||||
src = CODE / code_rel
|
||||
dst = WRAP / wrap_rel
|
||||
if not src.exists():
|
||||
print(f"SKIP missing: {src}", file=sys.stderr)
|
||||
return
|
||||
dst.parent.mkdir(parents=True, exist_ok=True)
|
||||
shutil.copy2(src, dst)
|
||||
src.unlink()
|
||||
print(f"repatriated {code_rel} -> {wrap_rel}")
|
||||
|
||||
|
||||
def repatriate_command(name: str) -> None:
|
||||
repatriate_file(f"cli/commands/{name}.py")
|
||||
|
||||
|
||||
def main() -> None:
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("items", nargs="+", help="command names or code-relative paths")
|
||||
parser.add_argument("--feature", action="store_true", help="path under cli/features/")
|
||||
args = parser.parse_args()
|
||||
for item in args.items:
|
||||
if args.feature:
|
||||
repatriate_file(f"cli/features/{item}")
|
||||
elif "/" in item:
|
||||
repatriate_file(item)
|
||||
else:
|
||||
repatriate_command(item)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,4 +0,0 @@
|
||||
# Files allowed to reference praisonai_code directly (bridges / bootstrap only).
|
||||
_code_bridge.py
|
||||
_bootstrap.py
|
||||
_registry.py
|
||||
@@ -1,253 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Mechanical migration: praisonai wrapper bot/gateway tree → praisonai_bot package."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import re
|
||||
import shutil
|
||||
import textwrap
|
||||
from pathlib import Path
|
||||
|
||||
REPO = Path(__file__).resolve().parents[1]
|
||||
WRAPPER = REPO / "src" / "praisonai" / "praisonai"
|
||||
BOT_PKG = REPO / "src" / "praisonai-bot" / "praisonai_bot"
|
||||
TESTS_SRC = REPO / "src" / "praisonai" / "tests"
|
||||
TESTS_DST = REPO / "src" / "praisonai-bot" / "tests"
|
||||
|
||||
# (source relative to WRAPPER, dest relative to BOT_PKG)
|
||||
DIR_COPIES = [
|
||||
"bots",
|
||||
"gateway",
|
||||
"daemon",
|
||||
"kanban",
|
||||
"claw",
|
||||
]
|
||||
|
||||
INTEGRATION_FILES = [
|
||||
"integration/gateway_host.py",
|
||||
"integration/host_app.py",
|
||||
"integration/context_files.py",
|
||||
"integration/pages/bot_health.py",
|
||||
"integration/bridges/kanban_bridge.py",
|
||||
]
|
||||
|
||||
CLI_COMMANDS = [
|
||||
"cli/commands/bot.py",
|
||||
"cli/commands/gateway.py",
|
||||
"cli/commands/pairing.py",
|
||||
"cli/commands/identity.py",
|
||||
"cli/commands/onboard.py",
|
||||
"cli/commands/kanban.py",
|
||||
"cli/commands/claw.py",
|
||||
"cli/commands/mint_link.py",
|
||||
]
|
||||
|
||||
CLI_FEATURES = [
|
||||
"cli/features/gateway.py",
|
||||
"cli/features/bots_cli.py",
|
||||
"cli/features/onboard.py",
|
||||
"cli/features/approval.py",
|
||||
]
|
||||
|
||||
CLI_LEGACY = [
|
||||
"cli/legacy/dispatch/legacy_dispatch.py",
|
||||
"cli/legacy/dispatch/argparse_builder.py",
|
||||
]
|
||||
|
||||
TOOLS_FILES = ["tools/audio.py"]
|
||||
|
||||
TEST_DIRS = [
|
||||
"unit/bots",
|
||||
"unit/gateway",
|
||||
"integration/bots",
|
||||
"integration/gateway",
|
||||
]
|
||||
|
||||
IMPORT_REPLACEMENTS = [
|
||||
(re.compile(r"\bfrom praisonai\.bots\b"), "from praisonai_bot.bots"),
|
||||
(re.compile(r"\bimport praisonai\.bots\b"), "import praisonai_bot.bots"),
|
||||
(re.compile(r"\bfrom praisonai\.gateway\b"), "from praisonai_bot.gateway"),
|
||||
(re.compile(r"\bimport praisonai\.gateway\b"), "import praisonai_bot.gateway"),
|
||||
(re.compile(r"\bfrom praisonai\.daemon\b"), "from praisonai_bot.daemon"),
|
||||
(re.compile(r"\bimport praisonai\.daemon\b"), "import praisonai_bot.daemon"),
|
||||
(re.compile(r"\bfrom praisonai\.kanban\b"), "from praisonai_bot.kanban"),
|
||||
(re.compile(r"\bimport praisonai\.kanban\b"), "import praisonai_bot.kanban"),
|
||||
(re.compile(r"\bfrom praisonai\.claw\b"), "from praisonai_bot.claw"),
|
||||
(re.compile(r"\bimport praisonai\.claw\b"), "import praisonai_bot.claw"),
|
||||
(re.compile(r"\bfrom praisonai\.integration\b"), "from praisonai_bot.integration"),
|
||||
(re.compile(r"\bimport praisonai\.integration\b"), "import praisonai_bot.integration"),
|
||||
(re.compile(r"\bfrom praisonai\.tools\.audio\b"), "from praisonai_bot.tools.audio"),
|
||||
(re.compile(r"\bfrom praisonai\.tool_resolver\b"), "from praisonai_code.tool_resolver"),
|
||||
(re.compile(r"\bfrom praisonai\.llm\.env\b"), "from praisonai_code.llm.env"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.features\.gateway\b"), "from praisonai_bot.cli.features.gateway"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.features\.bots_cli\b"), "from praisonai_bot.cli.features.bots_cli"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.features\.onboard\b"), "from praisonai_bot.cli.features.onboard"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.features\.approval\b"), "from praisonai_bot.cli.features.approval"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.commands\.bot\b"), "from praisonai_bot.cli.commands.bot"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.commands\.gateway\b"), "from praisonai_bot.cli.commands.gateway"),
|
||||
(re.compile(r"\bfrom praisonai\.cli\.legacy\.dispatch\b"), "from praisonai_bot.cli.legacy.dispatch"),
|
||||
]
|
||||
|
||||
SHIM_PACKAGES = [
|
||||
("praisonai.bots", "praisonai_bot.bots", WRAPPER / "bots"),
|
||||
("praisonai.gateway", "praisonai_bot.gateway", WRAPPER / "gateway"),
|
||||
("praisonai.daemon", "praisonai_bot.daemon", WRAPPER / "daemon"),
|
||||
("praisonai.kanban", "praisonai_bot.kanban", WRAPPER / "kanban"),
|
||||
("praisonai.claw", "praisonai_bot.claw", WRAPPER / "claw"),
|
||||
]
|
||||
|
||||
SHIM_SINGLE_FILES = [
|
||||
("praisonai.cli.commands.bot", "praisonai_bot.cli.commands.bot", WRAPPER / "cli/commands/bot.py"),
|
||||
("praisonai.cli.commands.gateway", "praisonai_bot.cli.commands.gateway", WRAPPER / "cli/commands/gateway.py"),
|
||||
("praisonai.cli.commands.pairing", "praisonai_bot.cli.commands.pairing", WRAPPER / "cli/commands/pairing.py"),
|
||||
("praisonai.cli.commands.identity", "praisonai_bot.cli.commands.identity", WRAPPER / "cli/commands/identity.py"),
|
||||
("praisonai.cli.commands.onboard", "praisonai_bot.cli.commands.onboard", WRAPPER / "cli/commands/onboard.py"),
|
||||
("praisonai.cli.commands.kanban", "praisonai_bot.cli.commands.kanban", WRAPPER / "cli/commands/kanban.py"),
|
||||
("praisonai.cli.commands.claw", "praisonai_bot.cli.commands.claw", WRAPPER / "cli/commands/claw.py"),
|
||||
("praisonai.cli.commands.mint_link", "praisonai_bot.cli.commands.mint_link", WRAPPER / "cli/commands/mint_link.py"),
|
||||
]
|
||||
|
||||
|
||||
def rewrite_imports(path: Path) -> None:
|
||||
text = path.read_text(encoding="utf-8")
|
||||
original = text
|
||||
for pattern, repl in IMPORT_REPLACEMENTS:
|
||||
text = pattern.sub(repl, text)
|
||||
if text != original:
|
||||
path.write_text(text, encoding="utf-8")
|
||||
|
||||
|
||||
def copy_tree(src: Path, dst: Path) -> None:
|
||||
if dst.exists():
|
||||
shutil.rmtree(dst)
|
||||
shutil.copytree(src, dst)
|
||||
for py in dst.rglob("*.py"):
|
||||
rewrite_imports(py)
|
||||
|
||||
|
||||
def copy_file(src: Path, dst: Path) -> None:
|
||||
dst.parent.mkdir(parents=True, exist_ok=True)
|
||||
shutil.copy2(src, dst)
|
||||
rewrite_imports(dst)
|
||||
|
||||
|
||||
def write_shim_package(old_name: str, new_name: str, shim_dir: Path) -> None:
|
||||
shim_dir.mkdir(parents=True, exist_ok=True)
|
||||
init = shim_dir / "__init__.py"
|
||||
init.write_text(
|
||||
textwrap.dedent(
|
||||
f'''\
|
||||
"""Backward-compatibility shim for :mod:`{old_name}`."""
|
||||
from praisonai._bootstrap import ensure_praisonai_bot
|
||||
|
||||
ensure_praisonai_bot()
|
||||
from praisonai.cli._shim import alias_package
|
||||
|
||||
alias_package("{old_name}", "{new_name}")
|
||||
'''
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
for child in list(shim_dir.glob("*.py")):
|
||||
if child.name != "__init__.py":
|
||||
child.unlink()
|
||||
for child in list(shim_dir.iterdir()):
|
||||
if child.is_dir() and child.name != "__pycache__":
|
||||
shutil.rmtree(child)
|
||||
|
||||
|
||||
def write_shim_module(old_mod: str, new_mod: str, shim_path: Path) -> None:
|
||||
shim_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
shim_path.write_text(
|
||||
textwrap.dedent(
|
||||
f'''\
|
||||
"""Backward-compatibility shim for :mod:`{old_mod}`."""
|
||||
import sys as _sys
|
||||
|
||||
from praisonai._bootstrap import ensure_praisonai_bot
|
||||
|
||||
ensure_praisonai_bot()
|
||||
import {new_mod} as _impl
|
||||
|
||||
_sys.modules[__name__] = _impl
|
||||
'''
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
BOT_PKG.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
for name in DIR_COPIES:
|
||||
src = WRAPPER / name
|
||||
if src.is_dir():
|
||||
copy_tree(src, BOT_PKG / name)
|
||||
|
||||
for rel in INTEGRATION_FILES:
|
||||
copy_file(WRAPPER / rel, BOT_PKG / rel)
|
||||
|
||||
for rel in TOOLS_FILES:
|
||||
copy_file(WRAPPER / rel, BOT_PKG / rel)
|
||||
|
||||
for rel in CLI_COMMANDS:
|
||||
copy_file(WRAPPER / rel, BOT_PKG / rel)
|
||||
|
||||
for rel in CLI_FEATURES:
|
||||
copy_file(WRAPPER / rel, BOT_PKG / rel)
|
||||
|
||||
for rel in CLI_LEGACY:
|
||||
copy_file(WRAPPER / rel, BOT_PKG / rel)
|
||||
|
||||
# Fix relative imports in botos (..gateway -> praisonai_bot.gateway stays relative)
|
||||
for py in BOT_PKG.rglob("*.py"):
|
||||
rewrite_imports(py)
|
||||
|
||||
for old_name, new_name, shim_dir in SHIM_PACKAGES:
|
||||
write_shim_package(old_name, new_name, shim_dir)
|
||||
|
||||
for old_mod, new_mod, shim_path in SHIM_SINGLE_FILES:
|
||||
write_shim_module(old_mod, new_mod, shim_path)
|
||||
|
||||
# Feature shims (single files in hybrid package)
|
||||
for feat in ("gateway", "bots_cli", "onboard", "approval"):
|
||||
write_shim_module(
|
||||
f"praisonai.cli.features.{feat}",
|
||||
f"praisonai_bot.cli.features.{feat}",
|
||||
WRAPPER / "cli/features" / f"{feat}.py",
|
||||
)
|
||||
|
||||
# Tests
|
||||
for rel in TEST_DIRS:
|
||||
src = TESTS_SRC / rel
|
||||
dst = TESTS_DST / rel
|
||||
if src.is_dir():
|
||||
copy_tree(src, dst)
|
||||
|
||||
for pattern in (
|
||||
"test_bot*.py",
|
||||
"test_gateway*.py",
|
||||
"test_bots_cli.py",
|
||||
"test_botos*.py",
|
||||
):
|
||||
for src in TESTS_SRC.glob(f"unit/{pattern}"):
|
||||
dst = TESTS_DST / "unit" / src.name
|
||||
copy_file(src, dst)
|
||||
|
||||
for src in (TESTS_SRC / "unit/cli").glob("test_gateway*.py"):
|
||||
copy_file(src, TESTS_DST / "unit/cli" / src.name)
|
||||
for src in (TESTS_SRC / "unit/cli").glob("test_onboard*.py"):
|
||||
copy_file(src, TESTS_DST / "unit/cli" / src.name)
|
||||
for src in (TESTS_SRC / "unit/cli").glob("test_legacy_parse_args.py"):
|
||||
copy_file(src, TESTS_DST / "unit/cli" / src.name)
|
||||
if (TESTS_SRC / "unit/daemon/test_daemon_dispatch.py").exists():
|
||||
copy_file(
|
||||
TESTS_SRC / "unit/daemon/test_daemon_dispatch.py",
|
||||
TESTS_DST / "unit/daemon/test_daemon_dispatch.py",
|
||||
)
|
||||
|
||||
print("C9 migration copy complete:", BOT_PKG)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,3 +0,0 @@
|
||||
# C9: allowlisted praisonai wrapper imports inside praisonai_bot (lazy bridges only).
|
||||
# gateway/server.py scheduled executor — lazy import inside method
|
||||
gateway/server.py
|
||||
@@ -1,33 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# C9 bot→code gate: production code must not hard-import praisonai_code (use _code_bridge).
|
||||
set -euo pipefail
|
||||
cd "$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
|
||||
ROOT="src/praisonai-bot/praisonai_bot"
|
||||
ALLOWLIST="scripts/c9_code_import_allowlist.txt"
|
||||
RE='(from praisonai_code|import praisonai_code)'
|
||||
FAIL=0
|
||||
|
||||
allowed_line() {
|
||||
local rel="$1"
|
||||
if [ ! -f "$ALLOWLIST" ]; then
|
||||
return 1
|
||||
fi
|
||||
sed -E 's/[[:space:]]*#.*$//;/^[[:space:]]*$/d' "$ALLOWLIST" | grep -Fxq "$rel"
|
||||
}
|
||||
|
||||
while IFS= read -r f; do
|
||||
rel="${f#"$ROOT/"}"
|
||||
if allowed_line "$rel"; then
|
||||
continue
|
||||
fi
|
||||
if grep -E "$RE" "$f" 2>/dev/null | grep -v '^[[:space:]]*#'; then
|
||||
echo "FAIL: direct praisonai_code import in $rel (use praisonai_bot._code_bridge)"
|
||||
FAIL=1
|
||||
fi
|
||||
done < <(find "$ROOT" -name '*.py' -type f)
|
||||
|
||||
if [ "$FAIL" -eq 0 ]; then
|
||||
echo "check_bot_code_imports ok"
|
||||
else
|
||||
exit 1
|
||||
fi
|
||||
@@ -1,87 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# C7 import-direction gate for praisonai-code (standalone hot path).
|
||||
set -euo pipefail
|
||||
|
||||
ROOT="${1:-src/praisonai-code/praisonai_code}"
|
||||
cd "$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
|
||||
|
||||
# Module-level hot path: praisonai wrapper only (not praisonaiagents / praisonai_code).
|
||||
HOT_PATH_RE='^from praisonai([[:space:]]|\.|$)|^import praisonai([[:space:]]|\.|$)'
|
||||
# Line-level wrapper imports (exclude praisonaiagents, praisonai_code, praisonai-tools).
|
||||
# Count indented bare ``import praisonai`` as well (C8.1 regex fix).
|
||||
ANY_WRAPPER_RE='(^[[:space:]]*from praisonai([[:space:]]|\.)|^[[:space:]]*import praisonai($|\.))'
|
||||
ALLOWLIST="scripts/c7_wrapper_import_allowlist.txt"
|
||||
|
||||
echo "== C7 hot-path module-level gate =="
|
||||
for f in \
|
||||
"$ROOT/cli/main.py" \
|
||||
"$ROOT/cli/app.py" \
|
||||
"$ROOT/cli/commands/run.py" \
|
||||
"$ROOT/cli/commands/chat.py" \
|
||||
"$ROOT/cli/commands/code.py"
|
||||
do
|
||||
if grep -E "$HOT_PATH_RE" "$f" 2>/dev/null; then
|
||||
echo "FAIL: module-level wrapper import in $f"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
echo "hot-path module-level gate ok"
|
||||
|
||||
echo "== C7 strict gate (run/chat/code/app — no wrapper imports) =="
|
||||
for f in \
|
||||
"$ROOT/cli/app.py" \
|
||||
"$ROOT/cli/commands/run.py" \
|
||||
"$ROOT/cli/commands/chat.py" \
|
||||
"$ROOT/cli/commands/code.py"
|
||||
do
|
||||
if grep -E "$ANY_WRAPPER_RE" "$f" 2>/dev/null; then
|
||||
echo "FAIL: wrapper import in $f"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
echo "strict hot-path gate ok"
|
||||
|
||||
echo "== C7 regression baseline (total wrapper import lines) =="
|
||||
BASELINE="${C8_WRAPPER_IMPORT_BASELINE:-${C7_WRAPPER_IMPORT_BASELINE:-50}}"
|
||||
# Count wrapper import lines with a portable tool. Prefer ripgrep when present
|
||||
# (fast, respects the same regex) and fall back to POSIX grep -r otherwise, so
|
||||
# the gate does not exit 127 on runners without rg. The `|| true` keeps a
|
||||
# no-match (grep/rg exit 1) from aborting the script under `set -o pipefail`.
|
||||
if command -v rg >/dev/null 2>&1; then
|
||||
COUNT="$( { rg -c "$ANY_WRAPPER_RE" "$ROOT" --glob '*.py' 2>/dev/null || true; } | awk -F: '{s+=$2} END {print s+0}')"
|
||||
else
|
||||
COUNT="$( { grep -rEc --include='*.py' "$ANY_WRAPPER_RE" "$ROOT" 2>/dev/null || true; } | awk -F: '{s+=$2} END {print s+0}')"
|
||||
fi
|
||||
echo "wrapper import lines: $COUNT (baseline $BASELINE)"
|
||||
if [ "$COUNT" -gt "$BASELINE" ]; then
|
||||
echo "FAIL: wrapper import count regressed above baseline ($COUNT > $BASELINE)"
|
||||
exit 1
|
||||
fi
|
||||
echo "regression baseline ok"
|
||||
|
||||
echo "== C7 allowlist enforcement =="
|
||||
if [ -f "$ALLOWLIST" ]; then
|
||||
# Files (relative to $ROOT) that carry wrapper imports.
|
||||
if command -v rg >/dev/null 2>&1; then
|
||||
OFFENDERS="$( { rg -l "$ANY_WRAPPER_RE" "$ROOT" --glob '*.py' 2>/dev/null || true; } )"
|
||||
else
|
||||
OFFENDERS="$( { grep -rlE --include='*.py' "$ANY_WRAPPER_RE" "$ROOT" 2>/dev/null || true; } )"
|
||||
fi
|
||||
# Strip the reasons/comments and blank/comment lines from the allowlist.
|
||||
ALLOWED="$(sed -E 's/[[:space:]]*#.*$//; /^[[:space:]]*$/d' "$ALLOWLIST" | sed -E 's/[[:space:]]+$//')"
|
||||
FAIL=0
|
||||
while IFS= read -r f; do
|
||||
[ -z "$f" ] && continue
|
||||
rel="${f#"$ROOT/"}"
|
||||
if ! printf '%s\n' "$ALLOWED" | grep -Fxq "$rel"; then
|
||||
echo "FAIL: non-allowlisted wrapper import in $rel (add to $ALLOWLIST after review)"
|
||||
FAIL=1
|
||||
fi
|
||||
done <<< "$OFFENDERS"
|
||||
if [ "$FAIL" -ne 0 ]; then
|
||||
exit 1
|
||||
fi
|
||||
echo "allowlist enforcement ok"
|
||||
else
|
||||
echo "allowlist file missing: $ALLOWLIST (skipping enforcement)"
|
||||
fi
|
||||
@@ -1,53 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# C9 import-direction gate for praisonai-bot and praisonai-code hot paths.
|
||||
set -euo pipefail
|
||||
|
||||
cd "$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
|
||||
|
||||
CODE_ROOT="${C9_CODE_ROOT:-src/praisonai-code/praisonai_code}"
|
||||
BOT_ROOT="${C9_BOT_ROOT:-src/praisonai-bot/praisonai_bot}"
|
||||
|
||||
ANY_WRAPPER_RE='(^[[:space:]]*from praisonai([[:space:]]|\.)|^[[:space:]]*import praisonai($|\.))'
|
||||
ANY_BOT_RE='(^[[:space:]]*from praisonai_bot([[:space:]]|\.)|^[[:space:]]*import praisonai_bot($|\.))'
|
||||
CODE_HOT='^from praisonai([[:space:]]|\.|$)|^import praisonai([[:space:]]|\.|$)'
|
||||
BOT_ALLOWLIST="scripts/c9_wrapper_import_allowlist.txt"
|
||||
|
||||
count_wrapper_imports() {
|
||||
local root="$1"
|
||||
if command -v rg >/dev/null 2>&1; then
|
||||
{ rg -c "$ANY_WRAPPER_RE" "$root" --glob '*.py' 2>/dev/null || true; } | awk -F: '{s+=$2} END {print s+0}'
|
||||
else
|
||||
{ grep -rEc --include='*.py' "$ANY_WRAPPER_RE" "$root" 2>/dev/null || true; } | awk -F: '{s+=$2} END {print s+0}'
|
||||
fi
|
||||
}
|
||||
|
||||
echo "== C9 praisonai-code hot-path gate (no praisonai_bot at module level) =="
|
||||
for f in \
|
||||
"$CODE_ROOT/cli/main.py" \
|
||||
"$CODE_ROOT/cli/app.py" \
|
||||
"$CODE_ROOT/cli/commands/run.py" \
|
||||
"$CODE_ROOT/cli/commands/chat.py" \
|
||||
"$CODE_ROOT/cli/commands/code.py"
|
||||
do
|
||||
if [ -f "$f" ] && head -n 80 "$f" | grep -E "$CODE_HOT" 2>/dev/null; then
|
||||
echo "FAIL: module-level wrapper import in $f"
|
||||
exit 1
|
||||
fi
|
||||
if [ -f "$f" ] && head -n 80 "$f" | grep -E "$ANY_BOT_RE" 2>/dev/null; then
|
||||
echo "FAIL: module-level praisonai_bot import in code hot path $f"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
echo "code hot-path gate ok"
|
||||
|
||||
echo "== C9 praisonai-bot wrapper import regression =="
|
||||
BASELINE="${C9_WRAPPER_IMPORT_BASELINE:-20}"
|
||||
COUNT="$(count_wrapper_imports "$BOT_ROOT")"
|
||||
echo "wrapper import lines in praisonai_bot: $COUNT (baseline $BASELINE)"
|
||||
if [ "$COUNT" -gt "$BASELINE" ]; then
|
||||
echo "FAIL: praisonai_bot wrapper import count $COUNT > $BASELINE"
|
||||
exit 1
|
||||
fi
|
||||
echo "bot wrapper import baseline ok"
|
||||
|
||||
echo "C9 import gates passed"
|
||||
@@ -1,22 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
# C8.4 line-count ratchet for praisonai_code/cli/main.py
|
||||
set -euo pipefail
|
||||
|
||||
ROOT="$(cd "$(dirname "$0")/.." && pwd)"
|
||||
MAIN_PY="${1:-$ROOT/src/praisonai-code/praisonai_code/cli/main.py}"
|
||||
MAX_LINES="${MAX_MAIN_PY_LINES:-300}"
|
||||
|
||||
if [[ ! -f "$MAIN_PY" ]]; then
|
||||
echo "ERROR: $MAIN_PY not found" >&2
|
||||
exit 1
|
||||
fi
|
||||
|
||||
LINES=$(wc -l < "$MAIN_PY" | tr -d ' ')
|
||||
echo "main.py line count: $LINES (max: $MAX_LINES)"
|
||||
|
||||
if [[ "$LINES" -gt "$MAX_LINES" ]]; then
|
||||
echo "FAIL: main.py exceeds $MAX_LINES lines ($LINES)" >&2
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "OK: main.py within limit"
|
||||
@@ -539,7 +539,7 @@ Repeat Phases 12 → 13 → 14 until the mergeability gate in Phase 13 is fully
|
||||
|
||||
### When the PR has merge conflicts
|
||||
|
||||
If `mergeStateStatus=DIRTY`, the **Auto Merge Conflict → Claude** workflow (`.github/workflows/merge-conflict-claude.yml`) posts `@claude` automatically on push to `main` and on PR sync. You can still comment manually:
|
||||
If `mergeStateStatus=DIRTY`, ask Claude to rebase rather than resolving conflicts yourself on non-trivial logic:
|
||||
|
||||
```bash
|
||||
gh pr comment $PR --repo $REPO --body "@claude this PR has merge conflicts with \`main\` (PR #<X> was merged, touching the same regions). Please rebase onto latest \`main\`, re-run \`pytest <paths>\`, and force-push."
|
||||
@@ -571,17 +571,6 @@ gh pr diff $PR --repo $REPO | less
|
||||
|
||||
### 15b. Merge
|
||||
|
||||
**Primary:** Trigger or wait for **Claude PR merge gate** (`.github/workflows/claude-merge-gate.yml`):
|
||||
|
||||
```bash
|
||||
gh workflow run claude-merge-gate.yml --repo $REPO -f pr_number=$PR
|
||||
gh pr view $PR --repo $REPO --json state,mergedAt,labels
|
||||
```
|
||||
|
||||
The gate merges when `MERGE_GATE_VERDICT: APPROVE`, CI is green, and the PR lacks `no-auto-merge`. Do not merge while `claude-conflict-pending` or during active `@claude` review/fix.
|
||||
|
||||
**Manual fallback** (opt-out or gate unavailable):
|
||||
|
||||
```bash
|
||||
gh pr merge $PR --repo $REPO --squash --delete-branch
|
||||
# --squash preserves linear main; --delete-branch keeps the repo clean
|
||||
|
||||
@@ -755,20 +755,6 @@ Developer Push ─────────────────────
|
||||
|
||||
**Result**: `https://praison.ai/install.sh` is automatically updated **only when the source files change**!
|
||||
|
||||
### Auto-deploy when install scripts change (PraisonAI → praison.ai)
|
||||
|
||||
Pushing `install.sh` or `install.ps1` to PraisonAI **`main`** triggers [`.github/workflows/deploy-install-scripts.yml`](/Users/praison/praisonai-package/.github/workflows/deploy-install-scripts.yml), which dispatches the existing praison.ai **`CI`** workflow (`workflow_dispatch` on `master`). No manual website push or `make upgrade` is required.
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
pushMain["PraisonAI push main\ninstall.sh|install.ps1"] --> deployWF["deploy-install-scripts.yml"]
|
||||
deployWF --> dispatch["gh workflow run CI"]
|
||||
dispatch --> siteCI["praison.ai azure-pipeline.yaml"]
|
||||
siteCI --> live["https://praison.ai/install.sh"]
|
||||
```
|
||||
|
||||
Manual re-deploy: `gh workflow run "Deploy install scripts to praison.ai" --repo MervinPraison/PraisonAI`
|
||||
|
||||
### How install.sh is Served
|
||||
|
||||
The `web/install.sh` file is copied into the Docker image at `/var/www/html/web/install.sh` and served by nginx:
|
||||
@@ -811,20 +797,20 @@ git push origin master
|
||||
|
||||
**Task 2: Update install.sh and deploy**
|
||||
```bash
|
||||
# 1. Update install.sh / install.ps1
|
||||
# 1. Update install.sh
|
||||
vim /Users/praison/praisonai-package/src/praisonai/scripts/install.sh
|
||||
|
||||
# 2. Test install.sh
|
||||
bash /Users/praison/praisonai-package/src/praisonai/scripts/test-install-smoke.sh
|
||||
bash /Users/praison/praisonai-package/src/praisonai/scripts/install.sh --dry-run
|
||||
|
||||
# 3. Commit and push to PraisonAI main — auto-triggers praison.ai deploy
|
||||
git add src/praisonai/scripts/install.sh src/praisonai/scripts/install.ps1
|
||||
# 3. Commit and push
|
||||
git add /Users/praison/praisonai-package/src/praisonai/scripts/install.sh
|
||||
git commit -m "fix: update install script"
|
||||
git push origin main
|
||||
# deploy-install-scripts.yml → praison.ai CI → https://praison.ai/install.sh
|
||||
|
||||
# Manual re-deploy (optional):
|
||||
gh workflow run "Deploy install scripts to praison.ai" --repo MervinPraison/PraisonAI
|
||||
# 4. Deploy website (if needed)
|
||||
cd /Users/praison/Sites/localhost/praisonai
|
||||
make upgrade
|
||||
```
|
||||
|
||||
**Task 3: Rollback deployment**
|
||||
|
||||
@@ -137,15 +137,6 @@ Final rule: conclude only when evidence shows missing = 0.
|
||||
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
|
||||
PUBLISH WORKFLOW (reference)
|
||||
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
|
||||
GitHub Actions (recommended):
|
||||
Manual: Actions → PyPI Release → Run workflow on main (bump defaults to patch)
|
||||
Nightly: `.github/workflows/nightly-release-gate.yml` runs at 00:00 UTC (midnight) when:
|
||||
- changes exist in src/praisonai or src/praisonai-agents since last v* tag
|
||||
- Core Tests succeeded on current main HEAD
|
||||
→ dispatches pypi-release.yml with bump=patch, source=nightly
|
||||
→ still requires pypi environment approval before publish
|
||||
Ad-hoc minor/major: manual PyPI Release only (explicit bump selection)
|
||||
|
||||
Step 1 — Publish praisonaiagents (Core SDK):
|
||||
cd /Users/praison/praisonai-package/src/praisonai-agents
|
||||
praisonai publish pypi
|
||||
@@ -170,4 +161,4 @@ Step 3 — Publish praisonai-tools (External, if needed):
|
||||
# Bump version in pyproject.toml, then:
|
||||
python3.13 -m build && uv run twine upload dist/*
|
||||
|
||||
PraisonAI PRs: default merge via **Claude PR merge gate** (`.github/workflows/claude-merge-gate.yml`) when validation passes. Add label `no-auto-merge` to opt out. Manual `gh pr merge` only as fallback when the gate cannot run.
|
||||
PraisonAI PRs: NEVER merge automatically — user merges manually.
|
||||
@@ -187,7 +187,7 @@ gh pr create \
|
||||
|
||||
**Commit prefixes:** `fix:`, `feat:`, `security:`, `refactor:`, `docs:`, `test:`
|
||||
|
||||
> **Merge:** Default is the **Claude PR merge gate** (`.github/workflows/claude-merge-gate.yml`). Do not merge manually unless the PR has `no-auto-merge` or you are explicitly told to use `gh pr merge`.
|
||||
> **Do NOT merge automatically** — user merges manually unless explicitly told otherwise.
|
||||
|
||||
### 5b. Verify PR state
|
||||
|
||||
|
||||
@@ -129,9 +129,7 @@ python -m pytest tests/ -q \
|
||||
|
||||
## Step 6 — Approve or Request Changes
|
||||
|
||||
**Primary (automated):** The **Claude PR merge gate** (`.github/workflows/claude-merge-gate.yml`) assesses readiness and merges when `MERGE_GATE_VERDICT: APPROVE`, CI is green, and the PR lacks `no-auto-merge`. It never posts `@claude` and does not use `gh pr review` (avoids re-triggering `claude.yml`).
|
||||
|
||||
**Manual fallback — if the PR is good and gate is skipped or opted out:**
|
||||
**If the PR is good:**
|
||||
|
||||
```bash
|
||||
cd /Users/praison/praisonai-package && \
|
||||
@@ -149,14 +147,6 @@ gh pr review <NUMBER> --request-changes --body "Requesting changes: <specific fe
|
||||
|
||||
## Step 7 — Merge
|
||||
|
||||
**Primary:** Wait for merge gate or verify `mergedAt` after a gate run:
|
||||
|
||||
```bash
|
||||
cd /Users/praison/praisonai-package && gh pr view <NUMBER> --json state,mergedAt,labels
|
||||
```
|
||||
|
||||
**Manual fallback** (label `no-auto-merge` or gate disabled):
|
||||
|
||||
```bash
|
||||
cd /Users/praison/praisonai-package && \
|
||||
gh pr merge <NUMBER> --merge --subject "<PR title>"
|
||||
@@ -267,21 +257,6 @@ find $(python -c "import site; print(site.getsitepackages()[0])") -name "<suspic
|
||||
|
||||
---
|
||||
|
||||
## Fork PRs — contributor checklist and Claude push
|
||||
|
||||
For PRs from external forks (`head.repo != MervinPraison/PraisonAI`), ask the contributor:
|
||||
|
||||
1. **Allow edits from maintainers** on the PR (right sidebar).
|
||||
2. **Keep fork and branch** until the PR is merged or closed.
|
||||
|
||||
Optional: private fork → add maintainer as collaborator; fork with Actions → only enable “Allow edits and access to secrets by maintainers” if they accept the risk.
|
||||
|
||||
When `maintainerCanModify` is true, `claude.yml` pushes via `GH_TOKEN` to the fork remote and `merge-conflict-claude.yml` may auto-trigger `@claude` for `DIRTY` PRs (after FINAL architecture review).
|
||||
|
||||
Manual unblock: `gh pr checkout <N> && git fetch origin main && git rebase origin/main && git push --force-with-lease`
|
||||
|
||||
---
|
||||
|
||||
## Quick Reference — Common Commands
|
||||
|
||||
| Action | Command |
|
||||
|
||||
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