* docs(examples): add meeting-notes agent example composed from existing primitives (#4622)
Demonstrates the AI meeting-notes pipeline (transcribe -> summarize ->
index for Q&A) using existing AudioAgent, Agent, and knowledge= RAG.
No new SDK surface added; keeps core lightweight per AGENTS.md.
Co-authored-by: Mervin Praison <[email protected]>
* fix(examples): print final Q&A result in meeting-notes agent
Greptile P1: qa.start() return was discarded so non-interactive/redirected
runs omitted the advertised Q&A output. Now printed explicitly.
Co-authored-by: Mervin Praison <[email protected]>
---------
Co-authored-by: praisonai-triage-agent[bot] <272766704+praisonai-triage-agent[bot]@users.noreply.github.com>
Co-authored-by: Mervin Praison <[email protected]>
The example passed topic via team.start(inputs=...), but AgentTeam.start
swallows **kwargs and never consumes `inputs`; interpolation reads only
task/team `variables` and replaces double-brace {{key}} placeholders.
Switch to AgentTeam(variables=...) with {{topic}} so the example actually
substitutes the topic instead of emitting a literal placeholder.
Co-authored-by: Mervin Praison <[email protected]>
Documents that Task.on_task_complete 2-param callbacks receive
(task_output, metadata) — NOT (task, task_output) like AgentTeam's hook.
Adds a copy-pasteable sequential human-review example and a regression
guard test. No new API surface (lightweight per AGENTS.md).
Co-authored-by: Dhivya-Bharathy <[email protected]>
- Fix AgentTeam.start() result handling across 22+ workflow/usecase examples
- Fix missing AgentFlow/AgentTeam/AutoAgents imports and registry override demo
- Fix scope_identifiers, state_redis db import, and ToolsMCPServer.run_sse API
- Mark STT and stale tool-import examples as skip until refreshed
- Remove stale db mapping that shadowed praisonaiagents.db submodule
Co-authored-by: Cursor <[email protected]>
- Remove `verbose` parameter from Agents() calls across all examples
- Remove `markdown` parameter from Agent() initialization
- Change `model` to `llm` in observability example
- Remove unused `kind` parameter from obs.span()
- Fix thinking_budget initialization to use property setter instead of constructor
- Add missing `instructions` parameter to routellm_example.py Agent
- Add autoagents_workflow_patterns.py with all 6 workflow patterns
- Update auto_agents_example.py with new features and CLI examples
- Add orchestrator-workers and evaluator-optimizer patterns to README CLI section
- Update pattern options table with all 6 patterns
- Add documentation links to examples
- Fixed core ContextAgent functionality with proper imports and async support
- Added comprehensive error handling and robust implementation
- Cleaned up imports and fixed async method patterns
- Moved test file from root to proper tests/ directory location
- Made implementation fully functional with all required methods
- Enhanced examples with working context engineering workflows
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
- Add ContextAgent class with comprehensive Context Engineering capabilities
- Implements automated context generation for AI coding assistants
- Features: codebase analysis, pattern extraction, validation loops, PRP generation
- 10x better than prompt engineering, 100x better than vibe coding
- Includes factory function create_context_agent() for easy instantiation
- Add comprehensive examples in agents/ and concepts/ directories
- Full backward compatibility maintained with existing PraisonAI functionality
- Complete test suite with 7/7 tests passing
Co-authored-by: Mervin Praison <[email protected]>
- Move callback systems to general/
- Move memory examples to memory/
- Move state management to stateful/
- Move hierarchical agents to agents/
- Move guardrails to guardrails/
- Move self-reflection to concepts/
Co-authored-by: Mervin Praison <[email protected]>
- Add ModelRouter for intelligent model selection based on task complexity
- Create MultiModelAgent class supporting multiple models per agent
- Implement routing strategies: auto, cost-optimized, performance-optimized
- Add pre-configured profiles for 8+ popular models
- Include usage tracking and cost estimation
- Maintain full backward compatibility
- Add comprehensive examples and documentation
Fixes#866
Co-authored-by: Mervin Praison <[email protected]>
Add comprehensive examples for:
- Chat with PDF functionality
- Code Agent with self-reflection and tools
- Math Agent for calculations and problem solving
- Routing patterns (conditional, loops, decision trees)
- Self-reflection details and configuration
- Reasoning extraction (Chain of Thought, patterns)
These examples demonstrate the features documented in https://docs.praison.ai/
Co-authored-by: Mervin Praison <[email protected]>
- Implement SearxNG search tool following PraisonAI patterns
- Add comprehensive documentation with setup instructions
- Include working examples for both tools and agents
- Support configurable SearxNG URL and search parameters
- Integrate with existing tools registry and documentation
- Provide privacy-focused alternative to traditional search engines
Addresses issue #337
Co-authored-by: MervinPraison <[email protected]>
