Compare commits

...
Author SHA1 Message Date
bearsyankees 721f56a714 docs(skills): verify release status and behavior per assessment 2026-09-28 22:40:03 -04:00
bearsyankees b2be137cef docs(skills): reduce advisory catalogs to focused testing guidance 2026-09-28 18:41:32 -04:00
bearsyankees 40072da62d docs(skills): update security knowledge and affected-version guidance 2026-09-28 18:00:58 -04:00
Yash Aslekar d6dd9dec26 fix(dev): make check-all non-mutating (#1360) 2026-09-27 17:47:20 -07:00
devin-ai-integration[bot] ae38fe70cd Fill in blank tool-call ids so strict providers accept the history (#1355) 2026-09-23 18:34:22 -07:00
alex s 4c1be22150 Let agents delete a vulnerability report they filed (#1354) 2026-09-23 17:25:23 -07:00
devin-ai-integration[bot] 56f7d45388 feat(llm): structured per-attempt provider request log with provider request ids (#1353) 2026-09-22 20:49:41 -07:00
yoni-at-strix e158eab3f8 feat(mcp): initialize connections lazily (#1347)
* feat(mcp): initialize connections lazily

* fix(mcp): replace terminally dead sessions

* fix(mcp): improve targeted tool discovery

* fix(mcp): limit active tool fallback
2026-09-22 14:02:02 -04:00
Ahmed Allam 56e9ae982c runtime: read_only local sources become :ro bind mounts
A local_code target can mark its tree read_only; collect_local_sources
forwards the flag and build_bind_mounts mounts the tree read-only instead
of relying on host mode bits, skipping the per-metadata remounts since the
whole tree is already immutable. Used for pulled container image layouts.
2026-09-20 06:10:13 +03:00
Ahmed Allam 355a8bb437 fix(reporting): move the git blame hint to the end of the tool description 2026-09-18 21:39:35 +03:00
Ahmed Allam 77a0cf839b fix(reporting): make the git blame hint a casual inline note 2026-09-18 21:39:35 +03:00
Ahmed Allam cafa4b19fd fix(reporting): keep git blame guidance to the technical_analysis field 2026-09-18 21:39:35 +03:00
alex s 976835194d Prompt agents to include local Git blame in technical details (#1329)
* Enrich issue technical details with local Git blame

* Bound report history enrichment and require unambiguous repository identity

* test(history): drive attribution through the CLI scan setup and isolate git config

* Simplify Git blame attribution to existing reporting instructions

* Make local blame guidance reliable in live reporting
2026-09-18 13:05:53 -04:00
Ahmed Allam 4c1f00d1ee fix(runtime): tear the sandbox down when staging is cancelled
CancelledError is not an Exception, so a run cancelled during the extra-file
upload or unpack left a created-but-uncached sandbox running.
2026-09-17 21:53:35 +03:00
Ahmed Allam 46d7bdb290 fix(runtime): place extra files as agent-writable sandbox files on every backend
Extra files (knowledge trees, workspace files) reached the docker sandbox as
per-file read-only bind mounts whose parent directories docker created as
root, so the sandbox user could neither edit them nor create siblings. They
now travel as one tar archive uploaded after bring-up and unpacked as the
sandbox user, on every backend.
2026-09-17 21:53:35 +03:00
alex s 910c1ea4bb fix(build): keep the TUI sidecar hook importable on hatchling 1.32.1 (#1325)
hatchling 1.32.1 made BuildHookInterface a two-parameter generic, so
subscripting it with one argument raises TypeError when the hook module
is imported and every from-source build fails. Subclass the unsubscripted
interface, which works on both the old and new generic signatures.
2026-09-16 14:25:38 -04:00
alex sandRAJVARDHAN 65d495bb7f feat(config): STRIX_API_TYPE forces responses vs chat completions (#1324)
* Add api_type field to LlmSettings

Added 'api_type' field to LlmSettings for API path selection.

* Refactor API type handling in models.py

* Implement test for LlmSettings API type

Add test for API type override settings in LlmSettings.

* fix(tests): lint api_type test, cover the api_base override route, document STRIX_API_TYPE

* fix(models): keep LiteLLM chat-completions tool schema when STRIX_API_TYPE=responses

---------

Co-authored-by: RAJVARDHAN <[email protected]>
2026-09-16 11:13:30 -04:00
Ahmed Allam 2dadbb748a chore(deps): require litellm>=1.101.0 for gpt-6-astra max_completion_tokens mapping 2026-09-16 01:07:48 +03:00
Ahmed Allam 84f4108195 fix(web_search): send only the agent's query to Exa search
Exa /search is a neural search endpoint, not a chat model, so prepending
the Perplexity system prompt made Exa match the prompt's own vocabulary
(Kali, OWASP, apt, NIST) instead of the query. The system prompt stays
on the Perplexity path where it is a chat system message; the Exa
summary instruction is unchanged.
2026-09-13 19:40:50 +03:00
Elisabeth Rulke 0c4364a6a7 docs: add Vercel AI Gateway provider guide
Add Vercel AI Gateway as an LLM provider option, mirroring the existing
provider pages. New guide, an overview card, and a nav entry after
OpenRouter. Docs only.
2026-09-12 19:37:41 +03:00
Ahmed Allam 95e085eb6c feat(prompts): require http_exchange_ids for proxy-validated findings
Agents mostly left http_exchange_ids empty because the only nudge was the
parameter docstring. The REPORTING rules now state that a finding validated
through the proxy is not fully filed until the ids of its proving exchanges
(exploit plus baseline) are attached, copied from list_requests/view_request,
omitted only for findings with no captured HTTP at all, and attached after
the fact with update_vulnerability_report when needed. The Caido section
tells agents to note the ids as they test.
2026-09-10 03:50:17 +03:00
alex sandAhmed Allam 22959a7ba6 feat(reporting): link HTTP exchange evidence (#1281)
Co-authored-by: Ahmed Allam <[email protected]>
2026-09-09 07:50:23 -07:00
devin-ai-integration[bot]andAhmed Allam 52b1923347 fix(models): frontier model check matches the model name only, never the provider route (#1280)
Co-authored-by: Ahmed Allam <[email protected]>
2026-09-06 11:09:24 -07:00
Ahmed Allam ff5c8cc8e4 chore: release v1.6.2 2026-09-05 04:22:29 +03:00
Ahmed Allam afce7d95e8 fix(telemetry): classify setup-mode TUI preflight and preparation failures 2026-09-05 04:08:09 +03:00
Ahmed Allam 2e1db25786 feat(telemetry): classify error beacons by phase and exception class
error events now carry phase (startup/preflight/sandbox_init/agent_setup/
agent_loop) and the exception class name (plus its cause), never the message
or trace. Startup and preflight failures that exit(1) before the scan starts
are beaconed with a stable error_type instead of vanishing. scan_ended
distinguishes budget_exceeded, rate_limited, and headless agent_stopped
from user_exit.
2026-09-05 04:08:09 +03:00
devin-ai-integration[bot]andAhmed Allam f4b0416b71 docs: update README and CLI links (#1272)
Co-authored-by: Ahmed Allam <[email protected]>
2026-09-04 17:56:08 -07:00
Ahmed Allam c2c84f1131 chore(telemetry): drop unnecessary lock around loaded-skills set 2026-09-05 03:26:12 +03:00
Ahmed Allam bb7e82b6ea chore(telemetry): drop per-load skill_loaded beacons, send anonymous events
Report the distinct set of skills used once on scan_ended instead of one
skill_loaded event per skill per prompt render. Mark PostHog events with
$process_person_profile=false (distinct_id is a throwaway session id, so
person profiles were never useful) and tag them with $lib/$lib_version.
2026-09-05 03:26:12 +03:00
Ahmed Allam 9cc9de8cdc fix(warmup): drop docker from WARMUP_MODULES
The Docker checks import the Docker SDK on the main thread before the
warm-up join, so warming it saves nothing and leaves one module shared
between the two threads during the startup window.
2026-09-05 02:45:34 +03:00
Ahmed Allam a3bf864e1e test(warmup): assert wait_for_import_warmup blocks until the thread finishes 2026-09-05 02:45:34 +03:00
Ahmed Allam e60fd83931 refactor(warmup): drop the orphan purge and join the warm-up once before the engine imports 2026-09-05 02:45:34 +03:00
Ahmed Allam 7f46dd17d3 fix(cli): wait for the import warm-up before importing the agents SDK on the main thread
The warm-up thread imports strix.core.runner while warm_up_llm and
preflight_model_connection import agents.models.interface. Both walk the
agents SDK graph from different entry points, CPython fails one side to
break the import-lock cycle, and the orphan purge then removes agents.*
from sys.modules while the main thread is still importing it, crashing
strix -n with KeyError: 'agents.models'.
2026-09-05 02:45:34 +03:00
devin-ai-integration[bot] afa7c4a77f feat(web_search): add Exa as a web search provider alongside Perplexity (#1270) 2026-09-04 10:34:28 -07:00
oyasumi f6d9790ecb fix(viewer): show stopped run status 2026-09-04 01:10:10 +03:00
alex s 5d015df6b1 fix(cloud): print top-up instructions on 402 and guide oversize or archive --source (#1242)
- Every payment-required error now ends with a "Next step" line: the
  platform hint when one is sent, else the topup command and the billing
  URL for the configured platform. JSON output gets the same text as
  next_step. The platform hint is no longer repeated inside the error.
- An archive file passed to --source is rejected with guidance to pass
  the directory instead, which packs and excludes deps/build output.
- An oversize archive names its largest files and points to --exclude
  and --dry-run --show-files.
- uploads request help points to scans start --source for local code.
2026-09-02 15:26:37 -04:00
Ahmed Allam 1edafd3e80 fix(agents): stop parents waiting on finished non-interactive children
A non-interactive agent's loop returns after its terminal state, yet
send_message_to_agent kept reporting messages to it as delivered and the
parent then waited out wait_for_agents on a reply that could never come.

- AgentRuntime.resumable records whether the loop parks for wake-ups after a
  terminal state; run_agent_loop / _start_child_runner set it from interactive.
- AgentCoordinator.send returns False (nothing queued) for a terminal agent
  that is not resumable; send_message_to_agent surfaces target_status and
  delivery_status=not_delivered with a pointer to list_reports / get_report.
- wait_for_agents returns wait_outcome=no_active_agents at once when no other
  agent is running or waiting in a non-interactive run.
- agent_finish reads the reports the finishing agent filed from the report
  state and puts their ids in the completion report, the parent message
  (filed_report_ids) and its own return payload, so parents no longer have to
  infer what was filed from prose.
2026-09-02 22:11:12 +03:00
Ahmed Allam f1e24fe3f2 chore: release v1.6.1 2026-09-02 19:05:46 +03:00
Ahmed Allam e644f4a02c docs(readme): shorten the coding-agent skills paragraph 2026-09-02 18:46:33 +03:00
Ahmed Allam 1ebe1007e8 docs: keep the existing recommended model rows in the README 2026-09-02 18:35:45 +03:00
Ahmed Allam 53d2e5cfeb docs: note viewer steering, history, and report prerequisites 2026-09-02 18:35:45 +03:00
Ahmed Allam 7708f717d5 docs: trim crammed README sections and add cloud CLI and viewer docs pages 2026-09-02 18:35:45 +03:00
devin-ai-integration[bot] a8642de76c docs(readme): trim the strix cloud section to the essentials (#1237) 2026-09-02 07:19:56 -07:00
Ahmed Allam 75b89018d3 docs: use openrouter/z-ai/glm-5.3 as the default model in setup examples 2026-09-02 16:52:53 +03:00
Ahmed Allam 129f938094 fix(models): keep aggregator routes out of RECOMMENDED_MODEL_NAMES, family matching already accepts them 2026-09-02 16:52:53 +03:00
Ahmed Allam b438632e12 fix(models): keep list additions-only, restore gpt-5.4 examples, make openrouter/z-ai/glm-5.3 the top pick 2026-09-02 16:52:53 +03:00
Ahmed Allam 0ab7244807 feat(models): refresh the recommended model list and docs examples
Add Claude Fable 5.1, Gemini 3.7 Flash, and Z.ai GLM-5.3 / GLM-5.3-Flash
to RECOMMENDED_MODEL_NAMES, add a Z.ai GLM frontier family so GLM-5.x is
accepted through OpenRouter and Novita routes, and drop the superseded
GPT-5.4, GPT-5.3-codex, Opus 4.8, Sonnet 4.6, Gemini 3.6 Flash, and
Qwen3.7 entries. Update the README, docs provider pages, quickstart, and
CLI hint strings to the same current models, including DeepSeek V4,
Kimi K3, and GLM-5.3.
2026-09-02 16:52:53 +03:00
Ahmed Allam c514f712f4 fix(config): persist only the alias the runtime settings read
pydantic-settings takes the first alias present in the environment, even
when it is empty. persist_current() must save that same alias, so an empty
LLM_API_KEY does not let a non-empty OPENAI_API_KEY sibling land in the
file and restore a credential the run did not use.
2026-09-02 16:10:52 +03:00
Ahmed Allam 3e88e498b9 fix(config): drop the stored LLM connection when a linked env var changes
A new STRIX_LLM, LLM_API_KEY, or LLM_API_BASE exported in the shell must not
be combined with the key, base, or model still stored in cli-config.json.
Restore the pre-refactor rule: when any linked LLM connection var differs
from the stored value, discard the whole stored connection before loading
and before persisting. Unrelated stored settings are kept.
2026-09-02 16:10:52 +03:00
Ahmed Allam ce0db30252 fix(config): merge env into cli-config.json instead of overwriting it
persist_current rewrote the config file with only the env vars set in the
shell, so a run whose STRIX_LLM or LLM_API_KEY came from the file erased
them and the next launch failed with MISSING REQUIRED ENVIRONMENT
VARIABLES. Start from the stored env block, let a set env var override or
replace the aliases of its field, and let an empty env var clear it.
2026-09-02 16:10:52 +03:00
Ahmed Allam 941c960650 fix(ci): make the pre-commit mypy hook and the test suite pass on a fresh checkout 2026-09-02 15:15:51 +03:00
Ahmed Allam 46b4e6cb64 fix(tui): run environment and model checks on the no-target start screen
The interactive start screen skipped validate_environment() entirely, and
a bare prompt sent verify=false so the model preflight never ran. Both
kinds of setup launch now verify the model before leaving the start
screen, environment validation runs for every mode, and quitting setup
without a scan still shows the update notice.
2026-09-02 15:03:19 +03:00
yoni-at-strix b5c3807fef fix(mcp): keep the session on tool-call protocol errors and report quarantine truthfully (#1228) 2026-09-01 22:43:54 -04:00
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+15 -14
View File
@@ -1,3 +1,6 @@
# Built viewer bundles are generated output, not hand-edited source.
exclude: ^strix/interface/viewer/static/assets/
repos:
# Ruff for fast linting and formatting
- repo: https://github.com/astral-sh/ruff-pre-commit
@@ -9,21 +12,18 @@ repos:
- id: ruff-format
name: ruff-format
# MyPy for static type checking
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.17.1
# MyPy for static type checking. Runs the project's own mypy from the uv
# environment (`make dev-install`) so it sees the same dependencies and
# stubs as `make check-all`.
- repo: local
hooks:
- id: mypy
additional_dependencies: [
types-requests,
types-python-dateutil,
pydantic,
fastapi,
pytest,
hatchling,
"openai-agents[litellm]>=0.19.0,<0.20",
]
args: [--install-types, --non-interactive]
name: mypy
entry: uv run mypy
language: system
types_or: [python, pyi]
files: ^(strix|tests)/
require_serial: true
# Built-in hooks for basic file checks
- repo: https://github.com/pre-commit/pre-commit-hooks
@@ -62,5 +62,6 @@ ci:
autoupdate_branch: ""
autoupdate_commit_msg: "[pre-commit.ci] pre-commit autoupdate"
autoupdate_schedule: weekly
skip: []
# pre-commit.ci cannot run `language: system` hooks; mypy runs via `make check-all`.
skip: [mypy]
submodules: false
+1 -1
View File
@@ -28,7 +28,7 @@ Target-specific workflows built on the same engine:
- **Open-source CLI (self-hosted):** free, fully local, BYO LLM key, needs Docker. Best for local dev loops, air-gapped/offline, and full control.
```bash
curl -sSL https://strix.ai/install | bash # install
export STRIX_LLM="openai/gpt-5.4" # any LiteLLM model id
export STRIX_LLM="openrouter/z-ai/glm-5.3" # any LiteLLM model id
export LLM_API_KEY="<key>"
strix -n -t ./ --scan-mode quick --max-budget 10 # headless scan; always use -n
```
+1 -1
View File
@@ -31,7 +31,7 @@ Thank you for your interest in contributing to Strix! This guide will help you g
3. **Configure your LLM provider**
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
+11 -3
View File
@@ -1,4 +1,4 @@
.PHONY: help install dev-install format lint type-check security check-all clean pre-commit setup-dev dev viewer wheel tui-build tui-test tui-lint
.PHONY: help install dev-install format lint format-check lint-check type-check security check-all clean pre-commit setup-dev dev viewer wheel tui-build tui-test tui-lint
TUI_BINARY := build/sidecar/strix-tui$(if $(filter Windows_NT,$(OS)),.exe)
@@ -10,7 +10,9 @@ help:
@echo ""
@echo "Code Quality:"
@echo " format - Format code with ruff"
@echo " lint - Lint code with ruff"
@echo " lint - Lint code with ruff and apply fixes"
@echo " format-check - Check formatting without modifying files"
@echo " lint-check - Check lint without modifying files"
@echo " type-check - Run type checking with mypy and pyright"
@echo " security - Run security checks with bandit"
@echo " check-all - Run all code quality checks"
@@ -45,6 +47,12 @@ lint:
uv run ruff check . --fix
@echo "✅ Linting complete!"
format-check:
uv run ruff format --check .
lint-check:
uv run ruff check .
type-check:
@echo "🔍 Type checking with mypy..."
uv run mypy strix/
@@ -57,7 +65,7 @@ security:
uv run bandit -r strix/ -c pyproject.toml
@echo "✅ Security checks complete!"
check-all: format lint type-check security
check-all: format-check lint-check type-check security
@echo "✅ All code quality checks passed!"
pre-commit:
+48 -156
View File
@@ -17,6 +17,9 @@
<a href="https://strix.ai"><img src="https://img.shields.io/badge/Website-strix.ai-f0f0f0?style=for-the-badge&logoColor=000000" alt="Website"></a>
[![](https://dcbadge.limes.pink/api/server/strix-ai)](https://discord.gg/strix-ai)
<a href="https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=badge_cloud"><img src="https://img.shields.io/badge/Strix%20Cloud-app.strix.ai-2b9246?style=for-the-badge&logoColor=white" alt="Strix Cloud"></a>
<a href="https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=badge_demo"><img src="https://img.shields.io/badge/Try%20Strix%20Enterprise-555555?style=for-the-badge&logoColor=white" alt="Try Strix Enterprise"></a>
<a href="https://deepwiki.com/usestrix/strix"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"></a>
<a href="https://github.com/usestrix/strix"><img src="https://img.shields.io/github/stars/usestrix/strix?style=flat-square" alt="GitHub Stars"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-3b82f6?style=flat-square" alt="License"></a>
@@ -34,7 +37,7 @@
> [!TIP]
> **New!** Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - [Get started with no setup required](https://app.strix.ai).
> **New!** Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - [Get started with no setup required](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=tip_ci).
---
@@ -82,7 +85,7 @@ Strix are autonomous AI penetration testing agents that act just like real hacke
curl -sSL https://strix.ai/install | bash
# Configure your AI provider
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
# Run your first security assessment
@@ -94,9 +97,17 @@ strix --target ./app-directory
---
## ☁️ Strix Platform
## Ways to Run Strix
Try the Strix full-stack penetration testing platform at **[app.strix.ai](https://app.strix.ai)** - sign up for free, connect your repos and domains, and launch a pentest in minutes.
- **Open Source** - free, runs locally with Docker and your own LLM key. [Quick Start](https://docs.strix.ai/quickstart)
- **Strix Cloud** - no setup, validated findings, one-click autofix, and PR reviews. [Run a pentest →](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=table_cloud)
- **Enterprise** - SSO, compliance-ready reports, VPC or self-hosted deployment. [Try Strix Enterprise →](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=table_demo)
---
## ☁️ Strix Cloud
Try the Strix full-stack penetration testing platform at **[app.strix.ai](https://app.strix.ai?utm_source=github&utm_medium=readme&utm_content=cloud_heading)** - sign up for free, connect your repos and domains, and launch a pentest in minutes.
- **Validated findings with PoCs** - every vulnerability includes a working proof-of-concept exploit and reproduction steps
- **One-click autofix** - AI-generated security patches as ready-to-merge pull requests
@@ -104,7 +115,13 @@ Try the Strix full-stack penetration testing platform at **[app.strix.ai](https:
- **DevSecOps integrations** - GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and CI/CD pipelines
- **Continuous learning** - AI that builds on past findings, adapts to your codebase, and reduces false positives over time
[**Start your first pentest →**](https://app.strix.ai)
[**Run a pentest →**](https://app.strix.ai?intent=pentest&utm_source=github&utm_medium=readme&utm_content=cloud_cta)
## 🏢 Enterprise
Get the same Strix experience with enterprise-grade controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support and SLA, custom deployment options (VPC or self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment.
[**Try Strix Enterprise →**](https://strix.ai/demo?utm_source=github&utm_medium=readme&utm_content=enterprise_cta)
---
@@ -116,7 +133,9 @@ Strix is agent-ready. Give Claude Code, Cursor, Codex, or any [SKILL.md-compatib
npx skills add usestrix/strix
```
This installs nine skills: **penetration-testing-with-strix** (run headless scans and read results), **managed-pentesting-with-strix** (drive the managed [app.strix.ai](https://app.strix.ai) platform via REST — no local Docker or LLM key), **fix-security-vulnerabilities-with-strix** (remediate + re-scan to verify), **ci-security-scanning-with-strix** (PR scanning in CI), plus target-specific workflows: **application-security-testing**, **web-app-penetration-testing**, **api-security-testing**, **owasp-top-10-testing**, and **find-security-vulnerabilities-in-code**. Agents can run Strix two ways with the same engine — the open-source CLI locally, or the managed cloud when there's no local infra — and read [`AGENTS.md`](AGENTS.md) for a quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI docs, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.
This installs nine skills for running pentests, fixing findings, and CI scanning, against code, web apps, APIs, and the OWASP Top 10. Agents can use the local CLI or the managed cloud with the same engine.
See [`AGENTS.md`](AGENTS.md) for the quick reference, [docs.strix.ai/llms.txt](https://docs.strix.ai/llms.txt) for the CLI, and [docs.app.strix.ai](https://docs.app.strix.ai) for the API.
---
@@ -172,18 +191,9 @@ strix view my-run-name
strix view --host 0.0.0.0 --port 8080 --no-open
```
`strix view` starts a lightweight local server (bound to `127.0.0.1` on a random port) and opens your browser to a private, tokened link. Nothing leaves your machine: the dashboard reads the run's files straight off disk, with no cloud account or upload required. The UI ships prebuilt with Strix, so there is no extra install and no JS build step.
The dashboard shows the findings, a live map of the agent team, and past runs. Nothing leaves your machine, and the UI ships prebuilt. `strix view` binds to `127.0.0.1` and prints a tokened link that grants access to the run, so share it carefully.
Use `--host 0.0.0.0` to make the viewer reachable from other machines. Replace `0.0.0.0` in the printed URL with the server's reachable IP or hostname. The token in that URL grants access to the selected run's scan data, history, and steering, so only share it with trusted users and restrict the port with your firewall. Requests without the token-derived session cannot read run data.
### What's in the dashboard
- **Overview**: run status, target, and a severity breakdown of everything found so far.
- **Vulnerabilities**: each validated finding with its severity, details, and reproduction steps.
- **Agent graph**: a live map of the multi-agent team, showing which agent is doing what.
- **Steering**: send instructions to a live scan from the browser to redirect the agents mid-run.
- **History**: browse past runs on this machine and jump between them.
- **Reports**: generate a shareable report and email it to yourself or your team.
See the [viewer documentation](https://docs.strix.ai/usage/viewer) for the options and for reaching the viewer from another machine.
---
@@ -209,18 +219,9 @@ having to discover them by crawling. Pair the spec with the live base URL so the
agent knows where to send traffic:
```bash
# OpenAPI / Swagger file (.json / .yaml)
# OpenAPI / Swagger file, Postman export, or a live collection by id
strix --target ./openapi.yaml --target https://api.your-app.com
# Postman collection export
strix --target ./collection.postman_collection.json --target https://api.your-app.com
# Postman collection pulled live by id (no manual export)
export POSTMAN_API_KEY="PMAK-..."
strix --target postman://<collection-uuid>
# ...with a Postman environment to resolve {{baseUrl}} / token variables
strix --target "postman://<collection-uuid>?env=<environment-uuid>"
strix --target postman://<collection-uuid> --target https://api.your-app.com
```
@@ -235,20 +236,10 @@ strix -t https://github.com/org/app -t https://your-app.com
# Targets from a file, one target per non-empty, non-comment line
strix --target-list ./targets.txt
# White-box source-aware scan (local repository)
strix --target ./app-directory --scan-mode standard
# Focused testing with custom instructions
strix --target api.your-app.com --instruction "Focus on business logic flaws and IDOR vulnerabilities"
# Provide detailed instructions through file (e.g., rules of engagement, scope, exclusions)
strix --target api.your-app.com --instruction-file ./instruction.md
# Force PR diff-scope against a specific base branch
strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main
```
See the [CLI reference](https://docs.strix.ai/usage/cli) for every option, including scan modes, diff scope, instruction files, and budgets.
### Headless Mode
Run Strix programmatically without interactive UI using the `-n/--non-interactive` flag - perfect for servers and automated jobs. The CLI prints real-time vulnerability findings and the final report before exiting. Exits with non-zero code when vulnerabilities are found.
@@ -287,153 +278,55 @@ jobs:
```
> [!TIP]
> In CI pull request runs, Strix automatically scopes quick reviews to changed files.
> If diff-scope cannot resolve, ensure checkout uses full history (`fetch-depth: 0`) or pass
> `--diff-base` explicitly.
> In CI pull request runs, Strix automatically scopes quick reviews to changed files, which is why the
> checkout above fetches full history. See the
> [CI/CD documentation](https://docs.strix.ai/integrations/github-actions) for the details.
### Configuration
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
# Optional
export LLM_API_BASE="your-api-base-url" # if using a local model, e.g. Ollama, LMStudio
export PERPLEXITY_API_KEY="your-api-key" # for search capabilities
export STRIX_REASONING_EFFORT="high" # control thinking effort (default: high, quick scan: medium)
```
> [!NOTE]
> Strix automatically saves your configuration to `~/.strix/cli-config.json`, so you don't have to re-enter it on every run.
> See the [configuration reference](https://docs.strix.ai/advanced/configuration) for every environment variable.
#### Sign in with a ChatGPT subscription
Instead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscription:
```bash
strix auth login chatgpt # sign in with your ChatGPT account
strix auth login chatgpt # sign in with your ChatGPT account
export STRIX_LLM="chatgpt/gpt-5.4" # chatgpt/<model> runs on the subscription
strix --target ./app-directory
strix auth status # show the active sign-in
strix auth logout # forget the sign-in
strix auth status # show the active sign-in, or logout to forget it
```
#### Use the managed platform: `strix cloud`
The `strix cloud` commands drive the managed platform ([app.strix.ai](https://app.strix.ai)) from the terminal. Sign in once with the device flow. The sign-in creates your account and workspace on first use and stores a personal API token in `~/.strix/platform-auth.json`:
Run scans on [app.strix.ai](https://app.strix.ai) from the terminal, without Docker or an LLM key:
```bash
strix cloud login # browser approval, then workspace + scope profile
strix cloud login --workspace "My Team" # select a workspace by name or ID
strix cloud whoami # fast local account/workspace status
strix cloud session # verify remote session + consent ceiling
strix cloud logout # revoke remotely, then remove locally
```
The default **Recommended** scope preset supports normal scan work, local source uploads,
workspace switching, and user-approved credit top-ups. It excludes credential creation;
request `tokens:write` explicitly (or choose Full) when needed. For strict least privilege, pass an explicit list such as
`--scopes scans:read scans:write uploads:write billing:read`. Named automation
profiles are also available with `--scope-profile minimal|recommended|full`.
Every operation of the [REST API](https://docs.app.strix.ai) has a matching command in the form `strix cloud <resource> <verb>`:
```bash
strix cloud # list all resources
strix cloud scans # run the safe default (`scans list`)
strix cloud scans help # list the verbs of a resource
strix cloud domains add --domain example.com --asset-type web_app
strix cloud login # browser sign-in, one credential per install
strix cloud scans start --source . --yes --wait # scan local code, approving the upload
strix cloud scans start --engagement-type live_test --domain-ids <uuid> --wait
strix cloud scans start --source . --dry-run --show-files --json # review + capture source.archive_sha256
SOURCE_SHA256="<reviewed source.archive_sha256>"
strix cloud scans start --source . --approve-sha256 "$SOURCE_SHA256" --wait
strix cloud vulns list --severity critical
strix cloud credits # credit balance
strix cloud billing topup --credits 20 --yes # explicitly approve agent payment after HTTP 402
```
Workspaces and account setup also work from the terminal:
Every [REST API](https://docs.app.strix.ai) operation has a matching `strix cloud <resource> <verb>` command. Run `strix cloud` to list the resources, and add `help` to a resource to list its verbs. Output is JSON when stdout is not a terminal or when you pass `--json`. Binary downloads are the exception: redirect the raw bytes, or combine `--output FILE --json` for download metadata.
```bash
strix cloud workspaces list # numbered list; `workspace` is also accepted
strix cloud workspaces create --name "My Team" # admin + organizations:write
strix cloud workspaces use 2 # switch by list number, exact name, or ID
strix cloud session scopes # granted scopes + login ceiling
strix cloud session scopes set minimal # narrow without another browser sign-in
strix cloud billing subscribe --plan strix_cloud # opens the hosted checkout page
strix cloud billing portal # opens the billing portal
strix cloud integrations install github # opens the app installation page
strix cloud domains verify <domain-id> # prints the DNS record to add
```
The last four commands end at a person. Strix creates the link, opens the browser for an interactive terminal, and always prints the URL. The user enters the card, approves the installation, or adds the DNS record. Pass `--no-browser` to print the URL only.
The commands work for humans and agents: terminal output favors names, branches, lifecycle states, and numbered selectors, while redirected output (or `--json`) preserves complete machine-readable records and IDs. Human lists retain the selectors needed by follow-up commands but omit internal organization/user IDs; a selector too long for the compact table is repeated losslessly in a copyable block. Paginated lists print the next `--page` or `--offset`, and detail views preserve useful prose within a safe terminal bound; use `--json` for the complete record. Token lists distinguish API keys from named CLI device sessions. Binary downloads are the exception: intentionally redirect their raw bytes, or use `--output FILE --json` to write the file and receive structured download metadata. There are no prompts when stdin is not a terminal. Exit codes: `0` success, `1` error, `2` invalid usage, `4` authentication or plan limit, `5` payment required. `--token` and `STRIX_API_TOKEN` are stateless per-command overrides and never replace the stored sign-in; pair a CLI-session override with `--workspace-id` or `STRIX_WORKSPACE_ID`.
A browser sign-in creates one reusable credential per CLI installation. Logging in again on the
same installation replaces its secret instead of accumulating keys. Workspace switches keep that
credential and expiry, preserve the server-side scope preference, cap access by the target role,
and can never exceed the login consent ceiling. Each process pins its starting workspace, so a
concurrent switch fails safely instead of sending a stale command to another organization.
`strix cloud logout` revokes the server session before deleting the local token; use
`--local-only` only when you deliberately cannot reach the server.
Write commands take request fields as flags, and every write command also accepts one JSON object with `--data`:
```bash
strix cloud scans start --data '{"engagement_type":"code_review"}' # literal JSON
strix cloud scans start --data @request.json # read a file
cat request.json | strix cloud scans start --data - # read standard input
```
For an agent or CI local-source scan, run `--dry-run --show-files --json`, review the manifest,
and capture `source.archive_sha256`. Rerun with the same `--source`, every `--exclude`, and any
`--include-*` selection flags, replacing `--dry-run` with `--approve-sha256 HASH`; Strix
rebuilds the archive and refuses to upload it if the digest changed. `--yes` instead approves
only the snapshot built in that one invocation. It is suitable for a deliberate human or
one-shot approval, not as a digest-bound two-step agent/CI handoff.
The safe default honors `.gitignore` and `.strixignore` and excludes hidden paths, secret-like
files, VCS metadata, dependencies/build output, symlinks, and nested archives. Opt in
separately with `--include-hidden`, `--include-sensitive`, or `--include-archives`. The client
caps a bundle at 20,000 files, 25 MiB per file, 250 MiB expanded, and 50 MiB compressed, and
the service independently validates the archive. Source alone infers a code review; adding a
domain infers a live test. You can always pass `--engagement-type` explicitly.
Strix removes the temporary local archive after every invocation. It deletes a staged remote
upload after a definitive scan rejection. If a network error, `5xx` response, malformed
success response, or interruption makes the launch outcome ambiguous, it retains the upload and reports its `upload_id` with
`launch_outcome_unknown: true`; if automatic deletion cannot be confirmed, it reports the ID
with `cleanup_unknown: true`. Check `strix cloud scans list` before retrying. If no scan is
linked to the retained upload, delete it with `strix cloud uploads delete UPLOAD_ID`.
Non-Enterprise scans consume the deterministic estimate shown for their scope (a source-only
code review at the default `ultra` tier currently starts at 60 credits). Enterprise scans are
plan-included and do not consume the credit wallet. Report downloads need Enterprise,
schedules need Pro, and billing writes need an admin token. Plan blocks exit `4`; an
insufficient credit wallet exits `5` without creating or charging a scan.
Enable native tab completion once per shell session:
```bash
source <(strix completions zsh) # use bash instead of zsh when appropriate
strix completions fish | source
```
See the [cloud CLI documentation](https://docs.strix.ai/cloud/cli) for scopes, workspaces, billing, and source-upload options.
#### Connect your own MCP servers
Strix can connect to Model Context Protocol (MCP) servers you list and expose their tools to the agent during a run. Create `~/.strix/mcp-servers.json` with a JSON list of servers. Each entry is either a local `stdio` server that Strix launches as a subprocess, or a remote `http` server:
Strix can connect to Model Context Protocol (MCP) servers you list and expose their tools to the agent during a run. Create `~/.strix/mcp-servers.json` with a JSON list of local `stdio` servers or remote `http` servers:
```json
[
{
"name": "local_fs",
"transport": "stdio",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/project"]
},
{
"name": "github",
"transport": "http",
@@ -444,20 +337,19 @@ Strix can connect to Model Context Protocol (MCP) servers you list and expose th
]
```
Each server's tools are namespaced by `name` (for example `local_fs_read_file`). Omit `allowed_tools` to expose every tool the server offers, or set it to a list to restrict which tools the agent can call. The file is optional, and a server that fails to connect is skipped without failing the run. You can point Strix at a different file with `STRIX_MCP_CONFIG`.
Each server's tools are namespaced by `name`, for example `github_list_issues`. See the [MCP documentation](https://docs.strix.ai/integrations/mcp) for the full schema, tool filtering, and `stdio` servers.
**Recommended models for best results:**
- [Z.ai GLM-5.3 on OpenRouter](https://openrouter.ai/z-ai/glm-5.3) - `openrouter/z-ai/glm-5.3` (the default pick)
- [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`
- [Anthropic Claude Sonnet 4.6](https://claude.com/platform/api) - `anthropic/claude-sonnet-4-6`
- [Google Gemini 3 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3-pro-preview`
- [DeepSeek V4 Pro](https://platform.deepseek.com) - `deepseek/deepseek-v4-pro`
- [Moonshot Kimi K3](https://platform.kimi.ai) - `moonshot/kimi-k3`
See the [LLM Providers documentation](https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models.
## Enterprise Pentesting
Get the same Strix experience with [enterprise-grade](https://strix.ai/demo) controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support & SLA, custom deployment options (VPC/self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment. [Learn more](https://strix.ai/demo).
## Documentation
Full documentation is available at **[docs.strix.ai](https://docs.strix.ai)** - including detailed guides for usage, CI/CD integrations, skills, and advanced configuration.
+27 -4
View File
@@ -8,7 +8,7 @@ Configure Strix using environment variables or a config file.
## LLM Configuration
<ParamField path="STRIX_LLM" type="string" required>
Model name in LiteLLM format (e.g., `openai/gpt-5.4`, `anthropic/claude-sonnet-4-6`).
Model name in LiteLLM format (e.g., `openrouter/z-ai/glm-5.3`, `openai/gpt-5.4`).
</ParamField>
<ParamField path="LLM_API_KEY" type="string">
@@ -19,6 +19,12 @@ Configure Strix using environment variables or a config file.
Custom API base URL. Also accepts `OPENAI_API_BASE`, `LITELLM_BASE_URL`, or `OLLAMA_API_BASE`.
</ParamField>
<ParamField path="STRIX_API_TYPE" type="string">
Select the OpenAI API path for the model: `responses` or `chat_completions`.
By default, a custom `LLM_API_BASE` uses chat completions. Set this variable
when your gateway requires the other API. Also accepts `STRIX_FORCE_API`.
</ParamField>
<ParamField path="LLM_EXTRA_HEADERS" type="string">
Extra HTTP headers sent on every LLM request, as a JSON object (e.g.
`{"X-Feature-Key":"value","X-Tenant":"acme"}`). Useful for OpenAI-compatible
@@ -80,6 +86,22 @@ affecting the agents that do the actual testing.
API key for Perplexity AI. Enables real-time web search during scans for OSINT and vulnerability research.
</ParamField>
<ParamField path="EXA_API_KEY" type="string">
API key for Exa. Enables real-time web search through the Exa `/search` endpoint. Exa also powers the `web_get_contents` tool, which fetches the full text of a page through the Exa `/contents` endpoint. This is the preferred web search provider.
</ParamField>
<ParamField path="STRIX_WEB_SEARCH_PROVIDER" default="auto" type="string">
Web search provider: `auto`, `perplexity`, or `exa`. With `auto`, Strix uses Exa when `EXA_API_KEY` is set, and Perplexity otherwise. Set an explicit provider to pin one when you configure both keys.
</ParamField>
<ParamField path="STRIX_EXA_SEARCH_TYPE" default="auto" type="string">
Exa search mode: `auto`, `fast`, `instant`, `deep-lite`, `deep`, or `deep-reasoning`. Lower modes return results faster. Higher modes plan across more steps and take more time. This setting applies only to the Exa provider.
</ParamField>
<ParamField path="STRIX_EXA_NUM_RESULTS" default="5" type="integer">
Number of Exa results to return, from `1` to `100`. Each result includes a title, a URL, and a short security-focused summary. To read a full page, the agent calls `web_get_contents` with the result URL. This setting applies only to the Exa provider.
</ParamField>
<ParamField path="POSTMAN_API_KEY" type="string">
Postman API key (`PMAK-…`). Enables fetching Postman collections by id as a target (`postman://<collection-uid>`), and Postman environments (`postman://<collection-uid>?env=<environment-uid>`) to resolve collection variables. Not needed when passing a local collection export file.
</ParamField>
@@ -145,7 +167,7 @@ strix --target ./app --config /path/to/config.json
```json
{
"env": {
"STRIX_LLM": "openai/gpt-5.4",
"STRIX_LLM": "openrouter/z-ai/glm-5.3",
"LLM_API_KEY": "sk-...",
"STRIX_REASONING_EFFORT": "high"
}
@@ -156,10 +178,11 @@ strix --target ./app --config /path/to/config.json
```bash
# Required
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="sk-..."
# Optional: Enable web search
# Optional: Enable web search (Exa preferred, Perplexity supported)
export EXA_API_KEY="..."
export PERPLEXITY_API_KEY="pplx-..."
# Optional: Custom timeouts
+103
View File
@@ -0,0 +1,103 @@
---
title: "Cloud CLI"
description: "Drive app.strix.ai from the terminal with strix cloud"
---
The `strix cloud` commands drive the managed platform ([app.strix.ai](https://app.strix.ai)) from the terminal. You do not need Docker or an LLM key.
## Sign In
Sign in once with the browser device flow. The sign-in creates your account and workspace on first use, and it stores a personal API token in `~/.strix/platform-auth.json`.
```bash
strix cloud login # browser approval, then workspace and scope profile
strix cloud login --workspace "My Team" # select a workspace by name or ID
strix cloud whoami # local account and workspace status
strix cloud session # verify the remote session and consent ceiling
strix cloud logout # revoke remotely, then remove the local token
```
A browser sign-in creates one reusable credential for each CLI installation. A second sign-in on the same installation replaces the secret instead of adding another key. `strix cloud logout` revokes the server session before it deletes the local token. Use `--local-only` when you cannot reach the server.
## Scopes
The default **Recommended** preset covers normal scan work, local source uploads, workspace switching, and user-approved credit top-ups. It excludes credential creation, so request `tokens:write` when you need it.
```bash
strix cloud login --scopes scans:read scans:write uploads:write billing:read
strix cloud login --scope-profile minimal # also accepts recommended or full
strix cloud session scopes # granted scopes and the login ceiling
strix cloud session scopes set minimal # narrow without another browser sign-in
```
A workspace switch keeps the credential and its expiry, preserves the server-side scope preference, and caps access by the target role. A switch can never exceed the login consent ceiling. Each process pins the workspace it started with, so a concurrent switch fails safely instead of sending a stale command to another organization.
## Commands
Every operation of the [REST API](https://docs.app.strix.ai) has a matching command in the form `strix cloud <resource> <verb>`.
```bash
strix cloud # list all resources
strix cloud scans # run the safe default (scans list)
strix cloud scans help # list the verbs of a resource
strix cloud domains add --domain example.com --asset-type web_app
strix cloud scans start --engagement-type live_test --domain-ids <uuid> --wait
strix cloud vulns list --severity critical
strix cloud credits # credit balance
```
Write commands take request fields as flags. Every write command also accepts one JSON object with `--data`:
```bash
strix cloud scans start --data '{"engagement_type":"code_review"}' # literal JSON
strix cloud scans start --data @request.json # read a file
cat request.json | strix cloud scans start --data - # read standard input
```
`--token` and `STRIX_API_TOKEN` are stateless overrides for a single command, and they never replace the stored sign-in. Pair a CLI-session override with `--workspace-id` or `STRIX_WORKSPACE_ID`.
## Workspaces And Account Setup
```bash
strix cloud workspaces list # numbered list; workspace is also accepted
strix cloud workspaces create --name "My Team" # needs admin and organizations:write
strix cloud workspaces use 2 # switch by list number, exact name, or ID
strix cloud billing topup --credits 20 --yes # approve an agent payment after HTTP 402
strix cloud billing subscribe --plan strix_cloud # opens the hosted checkout page
strix cloud billing portal # opens the billing portal
strix cloud integrations install github # opens the app installation page
strix cloud domains verify <domain-id> # prints the DNS record to add
```
The last four commands end at a person. Strix creates the link, opens the browser for an interactive terminal, and always prints the URL. The user enters the card, approves the installation, or adds the DNS record. Pass `--no-browser` to print the URL only.
## Output And Exit Codes
The commands work for people and for agents. Terminal output favors names, branches, lifecycle states, and numbered selectors. Redirected output, and `--json`, preserve the complete machine-readable record.
- Human lists keep the selectors that follow-up commands need, and they omit internal organization and user IDs. A selector that is too long for the compact table is repeated losslessly in a copyable block.
- Paginated lists print the next `--page` or `--offset`. Detail views keep useful prose within a safe terminal bound, so use `--json` for the complete record.
- Token lists separate API keys from named CLI device sessions.
- Binary downloads are the exception to JSON output. Redirect the raw bytes on purpose, or use `--output FILE --json` to write the file and receive structured download metadata.
- There are no prompts when stdin is not a terminal.
Exit codes: `0` success, `1` error, `2` invalid usage, `4` authentication or plan limit, `5` payment required.
## Credits And Plan Limits
Non-Enterprise scans consume the deterministic estimate shown for their scope. A source-only code review at the default `ultra` tier currently starts at 60 credits. Enterprise scans are plan-included and do not consume the credit wallet.
Report downloads need Enterprise, schedules need Pro, and billing writes need an admin token. A plan block exits `4`. An insufficient credit wallet exits `5` without the creation of a scan and without a charge.
## Local Source Scans
See [Scan Local Source](/cloud/overview#scan-local-source) for the upload approval flow, the exclusion rules, and the size limits.
## Tab Completion
Enable native tab completion once for each shell session:
```bash
source <(strix completions zsh) # use bash instead of zsh when appropriate
strix completions fish | source
```
+1 -1
View File
@@ -33,7 +33,7 @@ description: "Contribute to Strix development"
</Step>
<Step title="Configure LLM">
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
</Step>
+5 -2
View File
@@ -25,7 +25,8 @@
"pages": [
"usage/cli",
"usage/scan-modes",
"usage/instructions"
"usage/instructions",
"usage/viewer"
]
},
{
@@ -35,6 +36,7 @@
"llm-providers/openai",
"llm-providers/anthropic",
"llm-providers/openrouter",
"llm-providers/vercel-ai-gateway",
"llm-providers/vertex",
"llm-providers/bedrock",
"llm-providers/azure",
@@ -77,7 +79,8 @@
{
"group": "Strix Cloud",
"pages": [
"cloud/overview"
"cloud/overview",
"cloud/cli"
]
}
]
+1 -1
View File
@@ -78,7 +78,7 @@ Strix uses a graph of specialized agents for comprehensive security testing:
curl -sSL https://strix.ai/install | bash
# Configure
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
# Scan
+1 -1
View File
@@ -37,7 +37,7 @@ Add these secrets to your repository:
| Secret | Description |
|--------|-------------|
| `STRIX_LLM` | Model name (e.g., `openai/gpt-5.4`) |
| `STRIX_LLM` | Model name (e.g., `openrouter/z-ai/glm-5.3`) |
| `LLM_API_KEY` | API key for your LLM provider |
## Exit Codes
+3
View File
@@ -17,6 +17,9 @@ export LLM_API_BASE="https://api.novita.ai/openai"
| Model | Configuration |
|-------|---------------|
| GLM-5.3 | `openai/zai-org/glm-5.3` |
| Kimi K3 | `openai/moonshotai/kimi-k3` |
| DeepSeek V4 Pro | `openai/deepseek/deepseek-v4-pro` |
| Kimi K2.5 | `openai/moonshotai/kimi-k2.5` |
| GLM-5 | `openai/zai-org/glm-5` |
| MiniMax M2.5 | `openai/minimax/minimax-m2.5` |
+4 -1
View File
@@ -8,7 +8,7 @@ description: "Configure Strix with models via OpenRouter"
## Setup
```bash
export STRIX_LLM="openrouter/openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="sk-or-..."
```
@@ -18,9 +18,12 @@ Access any model on OpenRouter using the format `openrouter/<provider>/<model>`:
| Model | Configuration |
|-------|---------------|
| GLM-5.3 (default) | `openrouter/z-ai/glm-5.3` |
| GPT-5.4 | `openrouter/openai/gpt-5.4` |
| Claude Sonnet 4.6 | `openrouter/anthropic/claude-sonnet-4.6` |
| Gemini 3 Pro | `openrouter/google/gemini-3-pro-preview` |
| DeepSeek V4 Pro | `openrouter/deepseek/deepseek-v4-pro` |
| Kimi K3 | `openrouter/moonshotai/kimi-k3` |
| GLM-4.7 | `openrouter/z-ai/glm-4.7` |
## Get API Key
+13 -6
View File
@@ -9,14 +9,17 @@ Strix uses [LiteLLM](https://docs.litellm.ai/docs/providers) for model compatibi
Set your model and API key:
| Model | Provider | Configuration |
| ----------------- | ------------- | -------------------------------- |
| GPT-5.4 | OpenAI | `openai/gpt-5.4` |
| Claude Sonnet 4.6 | Anthropic | `anthropic/claude-sonnet-4-6` |
| Gemini 3 Pro | Google Vertex | `vertex_ai/gemini-3-pro-preview` |
| Model | Provider | Configuration |
| -------------------- | ----------------- | -------------------------------- |
| GLM-5.3 (default) | Z.ai (OpenRouter) | `openrouter/z-ai/glm-5.3` |
| GPT-5.4 | OpenAI | `openai/gpt-5.4` |
| Claude Sonnet 4.6 | Anthropic | `anthropic/claude-sonnet-4-6` |
| Gemini 3 Pro | Google Vertex | `vertex_ai/gemini-3-pro-preview` |
| DeepSeek V4 Pro | DeepSeek | `deepseek/deepseek-v4-pro` |
| Kimi K3 | Moonshot | `moonshot/kimi-k3` |
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
@@ -43,6 +46,9 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
<Card title="OpenRouter" href="/llm-providers/openrouter">
Access 100+ models through a single API.
</Card>
<Card title="Vercel AI Gateway" href="/llm-providers/vercel-ai-gateway">
Access models from multiple providers through one endpoint.
</Card>
<Card title="Google Vertex AI" href="/llm-providers/vertex">
Gemini 3 models via Google Cloud.
</Card>
@@ -62,6 +68,7 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
Use LiteLLM's `provider/model-name` format:
```
openrouter/z-ai/glm-5.3
openai/gpt-5.4
anthropic/claude-sonnet-4-6
vertex_ai/gemini-3-pro-preview
+39
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@@ -0,0 +1,39 @@
---
title: "Vercel AI Gateway"
description: "Configure Strix with models via Vercel AI Gateway"
---
[Vercel AI Gateway](https://vercel.com/docs/ai-gateway) provides an OpenAI-compatible API for models from multiple providers.
## Setup
Create an [AI Gateway API key](https://vercel.com/docs/ai-gateway/authentication-and-byok), then configure Strix:
```bash
export STRIX_LLM="openai/anthropic/claude-opus-5"
export LLM_API_KEY="your-ai-gateway-api-key"
export LLM_API_BASE="https://ai-gateway.vercel.sh/v1"
```
The first `openai/` segment tells Strix to use its OpenAI-compatible client. The remaining value is the [AI Gateway model ID](https://vercel.com/docs/ai-gateway/models-and-providers).
## Available Models
Use any language model returned by the AI Gateway models endpoint:
```text
https://ai-gateway.vercel.sh/v1/models
```
Prefix its model ID with `openai/` when setting `STRIX_LLM`. For example, the Gateway model ID `anthropic/claude-opus-5` becomes `openai/anthropic/claude-opus-5` in Strix.
## Get API Key
1. Open the [AI Gateway API key settings](https://vercel.com/docs/ai-gateway/authentication-and-byok)
2. Create an API key
3. Set the key as `LLM_API_KEY`
## Benefits
- Access models from multiple providers through one endpoint
- Track Gateway usage and cost in Vercel
+2 -2
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@@ -28,12 +28,12 @@ description: "Install Strix and run your first security scan"
Set your LLM provider:
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
<Tip>
For best results, use `openai/gpt-5.4`, `anthropic/claude-opus-4-6`, or `openai/gpt-5.2`.
For best results, use `openrouter/z-ai/glm-5.3` (the default pick), `openai/gpt-5.4`, `anthropic/claude-opus-4-6`, or `openai/gpt-5.2`.
</Tip>
## Run Your First Scan
+1 -1
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@@ -28,6 +28,6 @@ Strix agents use specialized tools to test your applications like a real penetra
| -------------- | ---------------------------------------- |
| Python Runtime | Write and execute custom exploit scripts |
| File Editor | Read and modify source code |
| Web Search | Real-time OSINT via Perplexity |
| Web Search | Real-time OSINT with Exa or Perplexity |
| Notes | Document findings during the scan |
| Reporting | Generate vulnerability reports with PoCs |
+2 -1
View File
@@ -96,7 +96,8 @@ agent task, so the agent knows where to read them.
Rules that apply to every workspace file:
- The file is read-only inside the sandbox.
- Strix copies the file into the sandbox. The agent can edit the copy, but the
file on your machine does not change.
- The destination must stay inside `/workspace`.
- The destination must not fall inside a target directory, because target files
come from the target itself. Strix skips such a file and logs a warning.
+49
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@@ -0,0 +1,49 @@
---
title: "Local Web Viewer"
description: "Browse a run in a local dashboard with strix view"
---
Every scan writes its results to disk as it runs. `strix view` serves those files in a local dashboard, for a live run or a finished one.
```bash
strix view # the most recent run
strix view my-run-name # a specific run under ./strix_runs
strix view --host 0.0.0.0 --port 8080 --no-open
```
The UI ships prebuilt with Strix, so there is no extra install and no JavaScript build step. The dashboard reads the run files straight off disk. Nothing leaves your machine, and you do not need a cloud account.
## Options
<ParamField path="run" type="string">
Run name under `./strix_runs`. Defaults to the most recent run.
</ParamField>
<ParamField path="--host" type="string" default="127.0.0.1">
Host to bind to. Use `0.0.0.0` to reach the viewer from other machines.
</ParamField>
<ParamField path="--port" type="number" default="0">
Port to serve on. The default selects an available ephemeral port.
</ParamField>
<ParamField path="--no-open" type="boolean">
Do not open the browser automatically.
</ParamField>
## What Is In The Dashboard
- **Overview** — run status, target, and a severity breakdown of everything found so far.
- **Vulnerabilities** — each validated finding with its severity, details, and reproduction steps.
- **Agent graph** — a live map of the multi-agent team, and what each agent is doing.
- **Steering** — send instructions to a live scan to redirect the agents during the run. Steering works only in the dashboard the running scan opens. A standalone `strix view` has no live scan to steer.
- **History** — browse past runs on this machine and move between them. Verify your email address in the dashboard to unlock the other runs.
- **Reports** — generate a shareable report and send it by email. Verify your email address first.
## Sharing The Link
<Warning>
The token in the printed URL grants access to the run data, and to the steering of a live scan. Share it only with trusted users.
</Warning>
To reach the viewer from another machine, start it with `--host 0.0.0.0` and replace `0.0.0.0` in the printed URL with a reachable IP address or hostname. Restrict the port with your firewall. A request without the token-derived session cannot read run data.
+9 -3
View File
@@ -1,6 +1,6 @@
[project]
name = "strix-agent"
version = "1.6.0"
version = "1.6.2"
description = "Open-source AI Hackers for your apps"
readme = "README.md"
license = "Apache-2.0"
@@ -35,7 +35,7 @@ classifiers = [
dependencies = [
"openai-agents[litellm]>=0.19.0,<0.20",
"openai>=2.45.0,<3",
"litellm",
"litellm>=1.101.0",
"pydantic>=2.11.3",
"pydantic-settings>=2.13.0",
"rich",
@@ -250,6 +250,7 @@ ignore = [
# Stdlib HTTP handler overrides (do_GET/do_POST) and lazy imports that avoid a
# circular dependency with strix.telemetry / strix.interface.viewer.report_pdf.
"strix/interface/viewer/server.py" = ["N802", "PLC0415"]
"strix/interface/cloud/payment_proxy.py" = ["N802"]
# Lazy telemetry import to avoid importing PostHog before the viewer starts.
"strix/interface/viewer/cli.py" = ["PLC0415"]
# Lazy imports inside functions to avoid circular dependency with
@@ -307,6 +308,9 @@ ignore = [
"strix/report/dedupe.py" = ["PLC0415"]
"strix/telemetry/logging.py" = ["PLC0415"]
"strix/config/models.py" = ["PLC0415"]
# LiteLLM is imported lazily: the request log is wired at startup on every
# route, including the native OpenAI ones that never load LiteLLM.
"strix/llm/request_log.py" = ["PLC0415"]
# Heavy inference deps (httpx, openai) imported lazily so auth-status checks
# don't pull them in.
"strix/config/codex.py" = ["PLC0415"]
@@ -413,6 +417,8 @@ known_third_party = ["pydantic", "litellm"]
# ============================================================================
[tool.bandit]
exclude_dirs = ["docs", "build", "dist"]
# Tests are covered by ruff's flake8-bandit rules (see per-file-ignores above),
# which is where fixture tokens and loopback URL opens are already waived.
exclude_dirs = ["docs", "build", "dist", "tests"]
skips = ["B101", "B601", "B404", "B603", "B607"] # Skip assert, shell injection, subprocess import and partial path checks
severity = "medium"
+3
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@@ -346,6 +346,9 @@ echo -e "${MUTED}For more information visit ${NC}https://strix.ai"
echo -e "${MUTED}Supported models ${NC}https://docs.strix.ai/llm-providers/overview"
echo -e "${MUTED}Join our community ${NC}https://discord.gg/strix-ai"
echo ""
echo -e "${MUTED}Run a pentest in Strix Cloud ${NC}https://app.strix.ai"
echo -e "${MUTED}Enterprise ${NC}https://strix.ai/demo"
echo ""
echo -e "${YELLOW}→${NC} Run ${MUTED}source ~/.$(basename $SHELL)rc${NC} or open a new terminal"
echo ""
+1 -1
View File
@@ -12,7 +12,7 @@ from typing import Any
from hatchling.builders.hooks.plugin.interface import BuildHookInterface
class CustomBuildHook(BuildHookInterface[Any]):
class CustomBuildHook(BuildHookInterface): # type: ignore[type-arg]
"""Compile the Bubble Tea sidecar and ship it inside the wheel.
The sidecar is the only interactive interface, so every wheel is a
+1 -1
View File
@@ -48,7 +48,7 @@ Out of scope: POST /billing/*, POST /notifications/broadcast."
- **GraphQL:** point at the GraphQL endpoint and say whether introspection is enabled; call out that you want batching/aliasing abuse, depth/complexity limits, and per-field authorization tested.
- **Internal/private APIs** unreachable from your machine: use the managed platform's network connector — see **managed-pentesting-with-strix**.
- Use `--instruction-file` when the credential/context block gets long, and keep tokens out of shell history and out of committed files.
- **Supporting files** the agents should read but not test, such as an endpoint wordlist or handwritten notes about the tenancy model: pass `--workspace-file ./notes.md`. The file lands read-only in `/workspace`. Add `:DEST` to choose the path, for example `--workspace-file ./wordlist.txt:lists/wordlist.txt`.
- **Supporting files** the agents should read but not test, such as an endpoint wordlist or handwritten notes about the tenancy model: pass `--workspace-file ./notes.md`. Strix copies the file into `/workspace`. The file on your machine does not change. Add `:DEST` to choose the path, for example `--workspace-file ./wordlist.txt:lists/wordlist.txt`.
## 3. Verify findings
@@ -91,7 +91,7 @@ Key flags:
| `-n, --non-interactive` | Headless, exits on completion. Required for agents. |
| `-m, --scan-mode` | `quick` (minutes) / `standard` (~30 min) / `deep` (hours, default). |
| `--instruction` / `--instruction-file` | Credentials, focus areas, scope rules. |
| `--workspace-file PATH[:DEST]` | Place a file from this machine into `/workspace` read-only before the scan, for a wordlist, a spec, or notes. Repeatable. |
| `--workspace-file PATH[:DEST]` | Copy a file from this machine into `/workspace` before the scan, for a wordlist, a spec, or notes. Repeatable. |
| `--max-budget USD` | Hard LLM spend cap; scan wraps up cleanly at the limit. |
| `--max-turns N` | Per-agent turn cap (default 500). |
| `--resume RUN_NAME` | Resume a prior run from `strix_runs/`, with its agent history and targets. Cannot be combined with `-t`. |
+13 -2
View File
@@ -29,7 +29,13 @@ from strix.tools.agents_graph.tools import (
from strix.tools.coverage.tools import list_coverage, record_coverage, update_coverage
from strix.tools.finish.tool import finish_scan
from strix.tools.load_skill.tool import load_skill
from strix.tools.mcp import call_mcp, describe_mcp, list_mcps
from strix.tools.mcp import (
call_mcp,
describe_mcp,
get_mcp_tool_schema,
list_mcps,
search_mcp_tools,
)
from strix.tools.notes.tools import (
create_note,
delete_note,
@@ -50,6 +56,7 @@ from strix.tools.proxy.tools import (
from strix.tools.reporting.tool import (
create_dependency_report,
create_vulnerability_report,
delete_vulnerability_report,
get_report,
list_reports,
update_vulnerability_report,
@@ -69,7 +76,7 @@ from strix.tools.todo.tools import (
mark_todo_pending,
update_todo,
)
from strix.tools.web_search.tool import web_search
from strix.tools.web_search.tool import web_get_contents, web_search
if TYPE_CHECKING:
@@ -579,9 +586,11 @@ _BASE_TOOLS: tuple[Tool, ...] = (
save_threat_model,
amend_threat_model,
web_search,
web_get_contents,
create_vulnerability_report,
create_dependency_report,
update_vulnerability_report,
delete_vulnerability_report,
list_reports,
get_report,
list_requests,
@@ -591,6 +600,8 @@ _BASE_TOOLS: tuple[Tool, ...] = (
view_sitemap_entry,
scope_rules,
list_mcps,
search_mcp_tools,
get_mcp_tool_schema,
describe_mcp,
call_mcp,
view_agent_graph,
+11 -5
View File
@@ -77,18 +77,20 @@ AUTHORIZED TARGETS:
{% if system_prompt_context and system_prompt_context.mcp_available %}
MCP CONNECTIONS (available this run):
- The user connected one or more MCP (Model Context Protocol) servers — external tool providers you can reach on demand. Their individual tools do NOT appear in your tool list; three dispatch tools are the only way in.
- The user connected one or more MCP (Model Context Protocol) servers. Their individual tools do NOT appear in your tool list. Use the four discovery and dispatch tools to reach them.
{% if system_prompt_context.mcp_connections %}
- Connected this run (call describe_mcp on one to see its tools):
- Connected this run (search one to find relevant tools):
{% for connection in system_prompt_context.mcp_connections %}
- {{ connection.name }} ({{ connection.tool_count }} tools){% if connection.purpose %}: {{ connection.purpose }}{% endif %}
{% endfor %}
{% endif %}
- Reach for a connection whenever the target itself cannot give you information a connection could: its database schema and access policies, real deployment or infrastructure configuration, known issues or prior findings, or server logs. In those cases call list_mcps early to see what is available, and prefer a connection's authoritative data over inferring from the target's responses. Do not wait to be told a connection exists.
1. Call list_mcps() to discover the available connections.
2. Call describe_mcp(connection="<name>") to inspect one connection's tools, each with its name, description, and JSON input schema.
3. Call call_mcp(connection="<name>", tool="<tool>", arguments={...}) to run one, passing an arguments object that matches the schema (omit arguments for a tool that takes none).
- Do not assume a connection or tool exists; discover it with list_mcps and describe it with describe_mcp before calling.
2. Call search_mcp_tools(connection="<name>", query="<capability>") for a short candidate list.
3. Call get_mcp_tool_schema(connection="<name>", tool="<tool>") for the one schema you need.
4. Call call_mcp(connection="<name>", tool="<tool>", arguments={...}) to run it, passing an arguments object that matches the schema (omit arguments for a tool that takes none).
- Do not assume a connection or tool exists; discover it with list_mcps and search_mcp_tools before calling.
- Use describe_mcp only as a compatibility fallback when targeted search cannot identify an expected tool. Its full catalog can be large.
{% endif %}
AUTHORIZATION STATUS:
@@ -240,7 +242,9 @@ VALIDATION REQUIREMENTS:
- A vulnerability is ONLY considered reported when a reporting agent uses create_vulnerability_report (or create_dependency_report for known-CVE dependency/supply-chain findings) with full details. Mentions in agent_finish, finish_scan, or generic messages are NOT sufficient
- Reporting and fixing are ONE step, not two: when source is available, the reporting agent derives the concrete fix and files it INLINE via create_vulnerability_report (`code_locations` with `fix_before`/`fix_after` + `fix_pr_body`) — the report is not complete without it. Do NOT report first and then spawn a separate downstream agent to re-derive and re-apply the same patch; that just re-does the analysis and wastes tokens. (Do not silently patch a finding WITHOUT filing a report — the report, with its embedded fix, is the deliverable.)
- DEDUPLICATION: The create_vulnerability_report tool uses LLM-based deduplication. If it rejects your report as a duplicate, DO NOT attempt to re-submit the same vulnerability. Accept the rejection and move on to testing other areas. The vulnerability has already been reported by another agent. If your evidence proves more than the finding it matched (a working exploit where that one had only a static trace, a chain that raises the impact), revise that finding with update_vulnerability_report using the duplicate_of id — never re-file it.
- HTTP EVIDENCE: a finding you validated through the proxy is not fully filed until `http_exchange_ids` carries the proxy request ids of the exchanges that prove it — the request that triggers the vulnerability plus the baseline/control request it differs from (an unauthenticated success next to the authenticated one, the payload response next to the benign one). Copy the ids exactly as `list_requests`/`view_request` show them, never invent or guess one, and never omit the field to bypass validation. Leave it out only when there is no captured HTTP exchange at all (static-only code findings, dependency CVEs). If you filed before the proving exchanges existed, attach them afterwards with update_vulnerability_report. Without the ids, the finding ships as prose nobody can replay.
- REVISING A FINDING: use update_vulnerability_report (report id + the fields you want to replace + update_reason) when you learn something a finding already on file does not carry — you built the PoC after filing it, a chain raised its impact, further testing weakened it, or its counterevidence/remediation/code locations were wrong. Editing a finding needs no duplicate verdict, and it is always better than filing a second report for the same issue. Read the finding first with get_report, and pass only the fields that change.
- WITHDRAWING A FINDING: when re-testing proves a finding you filed is not a vulnerability at all — the exploit only worked because of your own test setup (a mixed-up session, a self-inflicted state change, a misread response), the behaviour is intended, or the control is in fact enforced — delete it with delete_vulnerability_report (report id + delete_reason). Never leave a disproved finding on file as a zero-CVSS, "retracted", or "false positive" report, and never rewrite its text into a note saying it was wrong: a report that exists is read as a finding. Delete is for a finding that does not exist; a finding that is real but weaker than filed is revised, not deleted.
- REVIEWING FILED FINDINGS (orchestrator/root agent): use list_reports to see every vulnerability filed so far in this scan (by any agent, root or child) — metadata-first with per-severity counts — and get_report to read one finding in full by its id. These are read-only orchestration tools: the root agent uses them to track coverage, avoid dispatching work on already-covered ground, assemble the finish_scan executive summary, and reason about attack-chaining across confirmed findings. Leaf/specialist agents should NOT call them — just do your assigned testing and file findings. Each entry shows which agent filed it (agent_name), and your own entries are flagged by_you. list_notes/get_note do the same for notes.
STATE & COORDINATION TOOLS (when and how):
@@ -493,6 +497,8 @@ SPECIALIZED TOOLS:
PROXY & INTERCEPTION:
- Caido CLI - Modern web proxy (already running). Use the proxy tools
directly, or import `caido_api` from sandbox Python scripts.
- Every proxied exchange has a request id (`list_requests`/`view_request`). Note the ids of the
requests that prove a finding as you test — they go into `http_exchange_ids` when you report it.
- HTTPQL filters (for `list_requests`): quote string values, leave integers unquoted (`resp.code.eq:200`, not `"200"`); combine terms with `AND`/`OR` (there is no `NOT` — use the negated operator `ne`/`ncont`/`nregex`). Numeric fields (`resp.code`, `req.port`) use `eq`/`ne`/`gt`/`gte`/`lt`/`lte`; text fields (`req.host`, `req.path`, `req.method`, `req.raw`) use `cont`/`ncont`/`eq`/`regex`. Example: `resp.code.gte:200 AND resp.code.lt:300 AND req.host.cont:"api"`.
CAIDO PROXY ERROR PAGES — NOT RESPONSES FROM THE TARGET:
+4 -1
View File
@@ -183,7 +183,7 @@ def build_authorize_url(challenge: str, state: str) -> str:
"code_challenge": challenge,
"code_challenge_method": "S256",
"state": state,
"id_token_add_organizations": "true",
"id_token_add_organizations": "true", # nosec B105 - boolean flag, not a secret
"codex_cli_simplified_flow": "true",
"originator": ORIGINATOR,
}
@@ -356,6 +356,8 @@ def build_openai_client() -> AsyncOpenAI:
import httpx
from openai import AsyncOpenAI
from strix.llm import request_log
get_valid_token() # fail fast at configure time if the sign-in is dead
async def _auth_hook(request: httpx.Request) -> None:
@@ -367,6 +369,7 @@ def build_openai_client() -> AsyncOpenAI:
timeout=httpx.Timeout(600.0, connect=30.0),
event_hooks={"request": [_auth_hook]},
)
request_log.observe_http_client(http_client)
return AsyncOpenAI(
api_key="strix-codex-oauth", # placeholder; the hook overwrites Authorization
base_url=CODEX_BASE_URL,
+62 -19
View File
@@ -10,11 +10,13 @@ from typing import TYPE_CHECKING, Any
from pydantic import AliasChoices, BaseModel
from strix.config.settings import Settings
from strix.config.settings import LlmSettings, Settings
from strix.utils.secret_files import write_secret_text
if TYPE_CHECKING:
from collections.abc import Mapping
from pydantic.fields import FieldInfo
@@ -25,6 +27,11 @@ _DEFAULT_PATH: Path = Path.home() / ".strix" / "cli-config.json"
_override: Path | None = None
_cached: Settings | None = None
# Model, API key, and API base describe one provider connection. When the shell
# changes any of them, the stored values of the others no longer belong together
# and are dropped rather than mixed with the new value.
_LINKED_LLM_FIELDS = ("model", "api_key", "api_base")
def load_settings() -> Settings:
"""Resolve settings from env + JSON file + defaults. Memoized.
@@ -54,22 +61,31 @@ def apply_config_override(path: Path) -> None:
def persist_current() -> None:
"""Write currently-set env vars to the active config file (0o600)."""
"""Merge currently-set env vars into the active config file (0o600).
Values already in the file survive when their env var is unset, so a
run that gets its settings from the file does not erase them. An env
var set to the empty string clears the field from the file. A change to
any linked LLM connection var drops the whole stored connection first.
"""
s = load_settings()
target = _override or _DEFAULT_PATH
target.parent.mkdir(parents=True, exist_ok=True)
env_block: dict[str, str] = {}
for sub_name in s.model_fields:
env_block = _drop_stale_llm_connection(_read_env_block(target))
for sub_name in type(s).model_fields:
sub_model = getattr(s, sub_name)
if not isinstance(sub_model, BaseModel):
continue
for finfo in type(sub_model).model_fields.values():
for alias in _aliases_for(finfo):
value = os.environ.get(alias.upper())
if value:
env_block[alias.upper()] = value
break
aliases = [alias.upper() for alias in _aliases_for(finfo)]
active = next((alias for alias in aliases if alias in os.environ), None)
if active is None:
continue
for alias in aliases:
env_block.pop(alias, None)
if os.environ[active]:
env_block[active] = os.environ[active]
write_secret_text(target, json.dumps({"env": env_block}, indent=2))
@@ -93,17 +109,9 @@ def _read_json_overrides(path: Path) -> dict[str, dict[str, Any]]:
Only includes keys whose env var is NOT already set, so env always
wins over the persisted file.
"""
if not path.exists():
env_block_upper = _drop_stale_llm_connection(_read_env_block(path))
if not env_block_upper:
return {}
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError):
return {}
env_block = data.get("env", {}) if isinstance(data, dict) else {}
if not isinstance(env_block, dict):
return {}
env_block_upper = {str(k).upper(): v for k, v in env_block.items()}
env_present = {k.upper() for k in os.environ}
nested: dict[str, dict[str, Any]] = {}
@@ -123,3 +131,38 @@ def _read_json_overrides(path: Path) -> dict[str, dict[str, Any]]:
if sub_data:
nested[sub_name] = sub_data
return nested
def _first_alias_value(aliases: list[str], source: Mapping[str, Any]) -> Any | None:
return next((source[alias] for alias in aliases if alias in source), None)
def _drop_stale_llm_connection(env_block: dict[str, Any]) -> dict[str, Any]:
"""Remove every linked LLM var from ``env_block`` if the shell changed any of them."""
linked_aliases = [
[alias.upper() for alias in _aliases_for(LlmSettings.model_fields[name])]
for name in _LINKED_LLM_FIELDS
]
changed = any(
(env_value := _first_alias_value(aliases, os.environ)) is not None
and env_value != _first_alias_value(aliases, env_block)
for aliases in linked_aliases
)
if not changed:
return env_block
stale = {alias for aliases in linked_aliases for alias in aliases}
return {k: v for k, v in env_block.items() if k not in stale}
def _read_env_block(path: Path) -> dict[str, Any]:
"""Return the ``env`` block stored in ``path`` with upper-cased keys, or ``{}``."""
if not path.exists():
return {}
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError):
return {}
env_block = data.get("env", {}) if isinstance(data, dict) else {}
if not isinstance(env_block, dict):
return {}
return {str(k).upper(): v for k, v in env_block.items()}
+87 -55
View File
@@ -40,6 +40,7 @@ from strix.config import codex
from strix.config.loader import load_settings
from strix.config.tool_call_ids import TurnCallIdRewriter, dedupe_input
from strix.config.tool_call_limits import TurnToolCallLimiter
from strix.llm import request_log
if TYPE_CHECKING:
@@ -390,7 +391,7 @@ def _guard_event(
event: TResponseStreamEvent, rewriter: TurnCallIdRewriter, limiter: TurnToolCallLimiter
) -> TResponseStreamEvent | None:
if isinstance(event, ResponseOutputItemAddedEvent | ResponseOutputItemDoneEvent):
rewritten = rewriter.rewrite_item(event.item)
rewritten = rewriter.rewrite_item(event.item, event.output_index)
if not limiter.allow(rewritten):
return None
if rewritten is not event.item:
@@ -525,13 +526,37 @@ class StrixProvider(MultiProvider):
# The ChatGPT subscription backend is always streamed; it has no
# non-streaming mode to fall back to, so LLM_DISABLE_STREAMING
# does not apply here.
model: Model = _CodexResponsesModel(
slug,
codex.get_subscription_client(),
reasoning_effort=llm.reasoning_effort,
model: Model = request_log.RequestLoggingModel(
_CodexResponsesModel(
slug,
codex.get_subscription_client(),
reasoning_effort=llm.reasoning_effort,
),
model_name=slug,
provider="openai-codex",
base_url=None,
)
else:
model = super().get_model(model_name)
resolved_name = model_name or llm.model or "unknown"
if _routes_via_litellm(model):
# LiteLLM's callbacks log every reply; only a cancelled attempt
# (stream idle timeout, abandoned turn) escapes them.
model = request_log.RequestLoggingModel(
model,
model_name=resolved_name,
provider=_litellm_provider(resolved_name),
base_url=self._override_base_url or llm.api_base,
route="litellm",
abandoned_only=True,
)
else:
model = request_log.RequestLoggingModel(
model,
model_name=resolved_name,
provider="openai",
base_url=self._override_base_url or llm.api_base,
)
if llm.disable_streaming:
model = _NonStreamingModel(model)
# The wrapper emits its single event only once the whole request
@@ -545,6 +570,23 @@ class StrixProvider(MultiProvider):
)
def _routes_via_litellm(model: Model) -> bool:
"""LiteLLM-backed models are captured by the LiteLLM callback, not the wrapper."""
from agents.extensions.models.litellm_model import LitellmModel
return isinstance(model, LitellmModel)
def _litellm_provider(model_name: str) -> str | None:
"""The provider LiteLLM will route ``model_name`` to, if it can tell."""
try:
import litellm
return str(litellm.get_llm_provider(model_name)[1])
except Exception: # noqa: BLE001 - unknown model ids are the provider's problem, not the log's
return None
DEFAULT_MODEL_RETRY = ModelRetrySettings(
max_retries=5,
backoff=ModelRetryBackoffSettings(
@@ -562,6 +604,8 @@ DEFAULT_MODEL_RETRY = ModelRetrySettings(
)
RECOMMENDED_MODEL_NAMES = (
"zai/glm-5.3",
"zai/glm-5.3-flash",
"openai/gpt-5.6-sol",
"openai/gpt-5.6-terra",
"openai/gpt-5.6-luna",
@@ -570,6 +614,7 @@ RECOMMENDED_MODEL_NAMES = (
"openai/gpt-5.5",
"openai/gpt-5.4",
"openai/gpt-5.3-codex",
"anthropic/claude-fable-5-1",
"anthropic/claude-fable-5",
"anthropic/claude-opus-5",
"anthropic/claude-opus-4-8",
@@ -577,6 +622,8 @@ RECOMMENDED_MODEL_NAMES = (
"anthropic/claude-sonnet-4-6",
"vertex_ai/gemini-3.1-pro-preview",
"gemini/gemini-3.1-pro-preview",
"vertex_ai/gemini-3.7-flash",
"gemini/gemini-3.7-flash",
"gemini/gemini-3.6-flash",
"deepseek/deepseek-v4-pro",
"deepseek/deepseek-v4-flash",
@@ -588,16 +635,27 @@ RECOMMENDED_MODEL_NAMES = (
_RECOMMENDED_MODEL_NAME_SET = frozenset(name.lower() for name in RECOMMENDED_MODEL_NAMES)
FRONTIER_MODEL_FAMILIES = (
(("azure", "azure_ai", "bedrock_mantle", "chatgpt", "openai"), ("gpt-5",)),
(
("anthropic", "azure_ai", "bedrock", "claude", "databricks", "snowflake", "vertex_ai"),
("claude-fable-5", "claude-opus-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
),
(("google", "gemini", "vertex_ai"), ("gemini-3",)),
(("deepseek",), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
(("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
(("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
# Matched against the bare model name only: the route (``openai/``, ``openrouter/``,
# a local gateway, ...) says nothing about the model's quality.
FRONTIER_MODEL_PREFIXES = (
"gpt-5",
"claude-fable-5",
"claude-opus-5",
"claude-opus-4",
"claude-sonnet-5",
"claude-sonnet-4",
"gemini-3",
"deepseek-v4",
"deepseek-r1",
"deepseek-reasoner",
"qwen3.8",
"qwen3.7",
"qwen3-max",
"kimi-k3",
"kimi-k2.7",
"kimi-k2.6",
"glm-5.3",
"glm-5.2",
)
@@ -605,6 +663,7 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
"""Apply Strix config to SDK-native defaults."""
llm = settings.llm
set_tracing_disabled(True)
request_log.install()
if codex.subscription_model(llm.model):
return
_configure_litellm_compatibility()
@@ -616,9 +675,11 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
if llm.api_base:
os.environ["OPENAI_BASE_URL"] = llm.api_base
_configure_litellm_default("api_base", llm.api_base)
set_default_openai_api("chat_completions")
else:
set_default_openai_api("responses")
api_type = llm.api_type
if api_type is None:
api_type = "chat_completions" if llm.api_base else "responses"
set_default_openai_api(api_type)
_configure_extra_headers(llm)
@@ -755,12 +816,16 @@ def _merge_litellm_headers(headers: dict[str, str]) -> None:
def _register_openai_client_with_headers(llm: LlmSettings, headers: dict[str, str]) -> None:
from agents import set_default_openai_client
from agents.models.openai_provider import shared_http_client
from openai import AsyncOpenAI
client = AsyncOpenAI(
api_key=llm.api_key or "not-needed",
base_url=llm.api_base,
default_headers=dict(headers),
# The SDK's shared client is the one the request log observes for
# reply status, headers and provider request ids.
http_client=shared_http_client(),
)
set_default_openai_client(client, use_for_tracing=False)
@@ -793,6 +858,8 @@ def uses_chat_completions_tool_schema(model_name: str, settings: Settings) -> bo
model = model_name.strip().lower()
if "/" in model and not model.startswith("openai/"):
return True
if settings.llm.api_type is not None:
return settings.llm.api_type == "chat_completions"
if settings.llm.api_base:
return True
return not model_supports_reasoning(model_name)
@@ -831,11 +898,8 @@ def is_recommended_or_frontier_model(model_name: str) -> bool:
return False
if name in _RECOMMENDED_MODEL_NAME_SET:
return True
provider_name, bare_model_name = _split_model_provider(name)
return any(
_matches_frontier_family(provider_name, bare_model_name, provider_markers, prefixes)
for provider_markers, prefixes in FRONTIER_MODEL_FAMILIES
)
bare_model_name = name.rsplit("/", 1)[-1]
return _matches_model_prefix(bare_model_name, FRONTIER_MODEL_PREFIXES)
def _normalized_model_name(model_name: str) -> str:
@@ -847,28 +911,6 @@ def _normalized_model_name(model_name: str) -> str:
return name
def _split_model_provider(model_name: str) -> tuple[str | None, str]:
if "/" not in model_name:
return None, model_name
provider_name, bare_model_name = model_name.rsplit("/", 1)
return provider_name, bare_model_name
def _matches_frontier_family(
provider_name: str | None,
model_name: str,
provider_markers: tuple[str, ...],
model_prefixes: tuple[str, ...],
) -> bool:
if not _matches_model_prefix(model_name, model_prefixes):
return False
if provider_name is None:
return True
return _contains_provider_marker(
provider_name, provider_markers, split_compound_names=True
) or _contains_provider_marker(model_name, provider_markers)
def _matches_model_prefix(model_name: str, model_prefixes: tuple[str, ...]) -> bool:
return any(
candidate.startswith(prefix)
@@ -886,16 +928,6 @@ def _model_name_candidates(model_name: str) -> tuple[str, ...]:
return (model_name, *suffixes)
def _contains_provider_marker(
value: str, provider_markers: tuple[str, ...], *, split_compound_names: bool = False
) -> bool:
parts = set(value.replace(".", "/").split("/"))
if split_compound_names:
for separator in ("_", "-"):
parts.update(piece for part in tuple(parts) for piece in part.split(separator))
return any(marker in parts for marker in provider_markers)
def is_known_openai_bare_model(model_name: str) -> bool:
import litellm
+29
View File
@@ -9,6 +9,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
ReasoningEffort = Literal["none", "minimal", "low", "medium", "high", "xhigh", "max"]
ApiType = Literal["responses", "chat_completions"]
DEFAULT_MAX_TURNS = 500
@@ -23,6 +24,11 @@ class LlmSettings(BaseSettings):
model_config = _BASE_CONFIG
model: str | None = Field(default=None, alias="STRIX_LLM")
api_type: ApiType | None = Field(
default=None,
validation_alias=AliasChoices("STRIX_API_TYPE", "STRIX_FORCE_API"),
description="Force 'responses' or 'chat_completions' API path",
)
api_key: str | None = Field(
default=None,
validation_alias=AliasChoices("LLM_API_KEY", "OPENAI_API_KEY"),
@@ -120,6 +126,10 @@ class TelemetrySettings(BaseSettings):
enabled: bool = Field(default=True, alias="STRIX_TELEMETRY")
WebSearchProvider = Literal["auto", "perplexity", "exa"]
ExaSearchType = Literal["auto", "fast", "instant", "deep-lite", "deep", "deep-reasoning"]
class IntegrationSettings(BaseSettings):
model_config = _BASE_CONFIG
@@ -128,6 +138,25 @@ class IntegrationSettings(BaseSettings):
alias="PERPLEXITY_API_KEY",
repr=False,
)
exa_api_key: str | None = Field(
default=None,
alias="EXA_API_KEY",
repr=False,
)
web_search_provider: WebSearchProvider = Field(
default="auto",
alias="STRIX_WEB_SEARCH_PROVIDER",
)
exa_search_type: ExaSearchType = Field(
default="auto",
alias="STRIX_EXA_SEARCH_TYPE",
)
exa_num_results: int = Field(
default=5,
ge=1,
le=100,
alias="STRIX_EXA_NUM_RESULTS",
)
postman_api_key: str | None = Field(
default=None,
alias="POSTMAN_API_KEY",
+57 -18
View File
@@ -1,12 +1,17 @@
"""Keep tool-call ids unique within a conversation.
"""Keep tool-call ids present and unique within a conversation.
Some providers return per-turn tool-call ids (``exec_command:0``,
``exec_command:1``, ...) whose counter restarts on every turn. Once the same
id appears twice in one conversation, the request payload has two assistant
tool calls sharing an id and strict providers reject the whole turn, which
permanently kills the agent because the malformed history is replayed on
every retry. Rewriting duplicates to fresh unique ids keeps the history
valid for any provider.
every retry.
Others omit the id altogether, or return it as an empty string. That turns
the paired tool result into a ``tool`` message with an empty
``tool_call_id``, which strict providers reject the same way and with the
same permanent outcome. Rewriting both blank and duplicate ids to fresh
unique ones keeps the history valid for any provider.
"""
from __future__ import annotations
@@ -15,6 +20,7 @@ from collections import defaultdict, deque
from typing import Any
from uuid import uuid4
from agents.models.fake_id import FAKE_RESPONSES_ID
from openai.types.responses import ResponseFunctionToolCall
@@ -22,23 +28,29 @@ def new_call_id() -> str:
return f"call_{uuid4().hex}"
def _pairing_key(call_id: Any) -> str:
"""Bucket an id for call/output pairing; all blank ids share one bucket."""
return call_id if isinstance(call_id, str) else ""
def collect_call_ids(items: list[Any]) -> set[str]:
used: set[str] = set()
for item in items:
if isinstance(item, dict):
call_id = item.get("call_id")
if isinstance(call_id, str):
if isinstance(call_id, str) and call_id:
used.add(call_id)
elif isinstance(item, ResponseFunctionToolCall):
elif isinstance(item, ResponseFunctionToolCall) and item.call_id:
used.add(item.call_id)
return used
def dedupe_history_call_ids(items: list[Any]) -> tuple[list[Any], bool]:
"""Rewrite duplicate call ids in a conversation history.
"""Rewrite blank and duplicate call ids in a conversation history.
Outputs are paired with their call by order, so parallel calls that share
an id keep answering the right call after the rewrite.
an id — or are all missing one — keep answering the right call after the
rewrite.
"""
used: set[str] = set()
pending: dict[str, deque[str]] = defaultdict(deque)
@@ -49,22 +61,24 @@ def dedupe_history_call_ids(items: list[Any]) -> tuple[list[Any], bool]:
if not isinstance(item, dict):
rebuilt.append(item)
continue
call_id = item.get("call_id")
if not isinstance(call_id, str):
kind = item.get("type")
if kind not in ("function_call", "function_call_output"):
rebuilt.append(item)
continue
kind = item.get("type")
call_id = item.get("call_id")
key = _pairing_key(call_id)
if kind == "function_call":
effective = call_id
if call_id in used:
effective = key
if not effective or effective in used:
effective = new_call_id()
item = {**item, "call_id": effective} # noqa: PLW2901
changed = True
used.add(effective)
pending[call_id].append(effective)
elif kind == "function_call_output":
queue = pending.get(call_id)
pending[key].append(effective)
else:
queue = pending.get(key)
if queue:
effective = queue.popleft()
if effective != call_id:
@@ -83,7 +97,7 @@ def dedupe_input(model_input: str | list[Any]) -> str | list[Any]:
class TurnCallIdRewriter:
"""Rewrite a single turn's tool-call ids that collide with the history.
"""Rewrite a single turn's tool-call ids that are blank or collide with the history.
A turn's items surface several times (streamed item events, then the
completed response), so the same original id must always map to the same
@@ -93,12 +107,37 @@ class TurnCallIdRewriter:
def __init__(self, model_input: str | list[Any]) -> None:
self._used = set() if isinstance(model_input, str) else collect_call_ids(model_input)
self._remap: dict[str, str] = {}
self._blank_remap: dict[str, str] = {}
self._settled: set[str] = set()
def rewrite_item(self, item: Any) -> Any:
def _rewrite_blank(
self, item: ResponseFunctionToolCall, position: int | None
) -> ResponseFunctionToolCall:
"""Give a call with no id one that stays the same on every sighting.
A real item id tells parallel calls apart. Chat Completions routes give
every item the same placeholder id, so there the call's position in
the turn's output tells them apart instead.
"""
if item.id and item.id != FAKE_RESPONSES_ID:
key = item.id
else:
key = f"{FAKE_RESPONSES_ID}#{position}"
replacement = self._blank_remap.get(key)
if replacement is None:
replacement = new_call_id()
self._blank_remap[key] = replacement
self._used.add(replacement)
self._settled.add(replacement)
return item.model_copy(update={"call_id": replacement})
def rewrite_item(self, item: Any, position: int | None = None) -> Any:
"""Rewrite one item; ``position`` is its index in the turn's output."""
if not isinstance(item, ResponseFunctionToolCall):
return item
original = item.call_id
if not original:
return self._rewrite_blank(item, position)
if original in self._settled:
return item
replacement = self._remap.get(original)
@@ -114,4 +153,4 @@ class TurnCallIdRewriter:
return item.model_copy(update={"call_id": replacement})
def rewrite_items(self, items: list[Any]) -> list[Any]:
return [self.rewrite_item(item) for item in items]
return [self.rewrite_item(item, position) for position, item in enumerate(items)]
+36 -1
View File
@@ -24,6 +24,8 @@ logger = logging.getLogger(__name__)
Status = Literal["running", "waiting", "completed", "stopped", "crashed", "failed", "budget_paused"]
TERMINAL_STATUSES: frozenset[str] = frozenset({"completed", "stopped", "crashed", "failed"})
# Why an agent parked. The user can message any agent, so this - not the agent's
# position in the tree - decides whether waiting is bounded: only an agent waiting
# on other agents is re-checked on a timer.
@@ -36,6 +38,10 @@ class AgentRuntime:
task: asyncio.Task[Any] | None = None
stream: Any | None = None
interrupt_on_message: bool = False
# Whether the agent's loop parks after a terminal state and can be woken by a
# later message. A non-interactive loop returns instead, so once such an
# agent is terminal nothing will ever read its mailbox again.
resumable: bool = True
wake: asyncio.Event = field(default_factory=asyncio.Event)
mailbox: list[dict[str, Any]] = field(default_factory=list)
user_wake_required: bool = False
@@ -175,6 +181,7 @@ class AgentCoordinator:
session: Session | None = None,
task: asyncio.Task[Any] | None = None,
interrupt_on_message: bool | None = None,
resumable: bool | None = None,
) -> None:
async with self._lock:
runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
@@ -184,6 +191,8 @@ class AgentCoordinator:
runtime.task = task
if interrupt_on_message is not None:
runtime.interrupt_on_message = interrupt_on_message
if resumable is not None:
runtime.resumable = resumable
async def mark_running(self, agent_id: str) -> None:
async with self._lock:
@@ -275,10 +284,29 @@ class AgentCoordinator:
self._parent_notified.add(agent_id)
return True
def _unreachable_locked(self, agent_id: str) -> bool:
"""True when the agent is terminal and no loop will ever read its mailbox."""
if self.statuses.get(agent_id) not in TERMINAL_STATUSES:
return False
runtime = self.runtimes.get(agent_id)
return runtime is not None and not runtime.resumable
async def reachability(self, agent_id: str) -> tuple[bool, Status | None]:
"""Whether a message to ``agent_id`` can still be acted on, plus its status."""
async with self._lock:
status = self.statuses.get(agent_id)
if status is None:
return False, None
return not self._unreachable_locked(agent_id), status
async def send(
self, target_agent_id: str, message: dict[str, Any], *, interrupt: bool = True
) -> bool:
"""Queue a user/peer message in the target's mailbox and wake it."""
"""Queue a user/peer message in the target's mailbox and wake it.
Returns False when nothing will ever read the message: the target is
unknown, or it is terminal and its loop does not park for wake-ups.
"""
from_user = message.get("from") == "user"
if from_user and self._budget_paused:
await self.resume_from_budget_pause(exclude=target_agent_id)
@@ -286,6 +314,13 @@ class AgentCoordinator:
if target_agent_id not in self.statuses:
logger.debug("agent.send dropped unknown target=%s", target_agent_id)
return False
if self._unreachable_locked(target_agent_id):
logger.info(
"agent.send dropped: target=%s is %s and cannot be woken",
target_agent_id,
self.statuses[target_agent_id],
)
return False
runtime = self.runtimes.setdefault(target_agent_id, AgentRuntime())
runtime.mailbox.append(dict(message))
self.pending_counts[target_agent_id] = self.pending_counts.get(target_agent_id, 0) + 1
+48 -4
View File
@@ -33,6 +33,7 @@ from strix.core.sessions import (
seed_initial_input,
strip_all_images_from_session,
)
from strix.llm import request_log
from strix.llm.compaction import is_context_overflow, maybe_compact
@@ -197,11 +198,50 @@ async def run_agent_loop(
start_parked: bool = False,
event_sink: StreamEventSink | None = None,
hooks: RunHooks[dict[str, Any]] | None = None,
) -> RunResultBase | None:
agent_name = getattr(agent, "name", None)
token = request_log.bind_call_context(
agent_id, agent_name if isinstance(agent_name, str) else None
)
try:
return await _run_agent_loop(
agent=agent,
initial_input=initial_input,
run_config=run_config,
context=context,
max_turns=max_turns,
coordinator=coordinator,
agent_id=agent_id,
interactive=interactive,
session=session,
start_parked=start_parked,
event_sink=event_sink,
hooks=hooks,
)
finally:
request_log.reset_call_context(token)
async def _run_agent_loop(
*,
agent: Any,
initial_input: Any,
run_config: RunConfig,
context: dict[str, Any],
max_turns: int,
coordinator: AgentCoordinator,
agent_id: str,
interactive: bool,
session: Session | None,
start_parked: bool,
event_sink: StreamEventSink | None,
hooks: RunHooks[dict[str, Any]] | None,
) -> RunResultBase | None:
await coordinator.attach_runtime(
agent_id,
session=session,
interrupt_on_message=interactive,
resumable=interactive,
)
result: RunResultBase | None = None
@@ -635,7 +675,7 @@ async def _run_cycle_parked(
raise
except Exception as exc:
logger.exception("error escaped the run cycle for %s; parking as failed", agent_id)
await coordinator.set_status(agent_id, "failed", error=str(exc) or type(exc).__name__)
await coordinator.set_status(agent_id, "failed", error=request_log.failure_text(exc))
await notify_parent_on_terminal(coordinator, agent_id, "failed")
return None
@@ -657,6 +697,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
image_strips = 0
compactions = 0
model_retries = 0
request_log.set_retry_attempt(0)
while True:
stream: Any = None
pre_run_items: list[Any] = []
@@ -784,6 +825,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
exc,
)
await asyncio.sleep(delay)
request_log.set_retry_attempt(model_retries)
if session is not None:
input_data = []
continue
@@ -791,7 +833,9 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
await _salvage_stream_to_session(session, pre_run_items, stream, agent_id)
if isinstance(exc, ProviderRefusalError):
logger.warning("agent %s refused by the model provider: %s", agent_id, exc)
await coordinator.set_status(agent_id, "failed", error=str(exc))
await coordinator.set_status(
agent_id, "failed", error=request_log.failure_text(exc)
)
await notify_parent_on_terminal(coordinator, agent_id, "failed")
return None
if isinstance(exc, MaxTurnsExceeded):
@@ -805,7 +849,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
# non-interactive agent's task: a child that dies still owes its parent a
# report, and the parent would otherwise wait out its timeout on a message
# the dead child can no longer send.
await coordinator.set_status(agent_id, status, error=str(exc) or type(exc).__name__)
await coordinator.set_status(agent_id, status, error=request_log.failure_text(exc))
await notify_parent_on_terminal(coordinator, agent_id, status)
if not interactive:
raise
@@ -1006,7 +1050,7 @@ async def _start_child_runner(
) -> None:
session = open_agent_session(child_id, agents_db_path)
sessions_to_close.append(session)
await coordinator.attach_runtime(child_id, session=session)
await coordinator.attach_runtime(child_id, session=session, resumable=interactive)
child_ctx: dict[str, Any] = dict(parent_ctx)
child_ctx["agent_id"] = child_id
+52 -69
View File
@@ -45,6 +45,7 @@ from strix.core.paths import run_dir_for, runtime_state_dir
from strix.core.sessions import open_agent_session
from strix.report.state import get_global_report_state
from strix.runtime import session_manager
from strix.telemetry import set_scan_phase
from strix.telemetry.logging import set_scan_id, setup_scan_logging
from strix.tools.output_store import (
WORKSPACE_SPILL_DIR,
@@ -58,10 +59,8 @@ if TYPE_CHECKING:
from strix.runtime.status import StatusSink
from strix.tools.mcp import (
ConnectedMcpServer,
McpConnectionRequest,
McpRegistry,
SupervisedMcpSession,
)
@@ -70,8 +69,8 @@ logger = logging.getLogger(__name__)
StreamEventSink = Callable[[str, Any], None]
# Receives the run's MCP connection roster as a list of non-secret status dicts
# ({"name", "provider", "tool_count", "dead"}), once when the connections are
# established and again each time a connection transitions to dead. An interface
# ({"name", "provider", "tool_count", "dead", "state"}), once when the connections
# are registered and again on lifecycle transitions. An interface
# can persist it, render it, or forward it on as connection status. Kept as a
# snapshot of the whole roster (not a per-
# connection delta) so every call carries a consistent, current picture.
@@ -79,30 +78,21 @@ McpStatusSink = Callable[[list[dict[str, Any]]], None]
def _mcp_roster_payload(registry: McpRegistry) -> list[dict[str, Any]]:
"""The run's MCP roster as non-secret status dicts (name/provider/tool_count/dead)."""
"""The run's MCP roster as non-secret lifecycle status dicts."""
return [
{
"name": status.name,
"provider": status.provider,
"tool_count": status.tool_count,
"dead": status.dead,
"state": status.state,
}
for status in registry.statuses()
]
def _mcp_startup_summary(connections: list[ConnectedMcpServer]) -> str:
"""One user-facing line summarizing the MCP servers that connected."""
server_count = len(connections)
tool_count = sum(c.tool_count for c in connections)
servers_word = "server" if server_count == 1 else "servers"
tools_word = "tool" if tool_count == 1 else "tools"
names = ", ".join(c.name for c in connections)
return f"MCP: connected {server_count} {servers_word} ({tool_count} {tools_word}): {names}"
def _record_mcp_connections(connections: list[ConnectedMcpServer]) -> None:
"""Record which MCP servers this run connected, for the interfaces.
def _record_mcp_connections(connection_names: list[str]) -> None:
"""Record which MCP servers this run configured, for the interfaces.
A server's tools are offered to the model under a name built from the
connection name and the tool's own name, which cannot be split back apart, so
@@ -113,7 +103,14 @@ def _record_mcp_connections(connections: list[ConnectedMcpServer]) -> None:
report_state = get_global_report_state()
if report_state is None:
return
report_state.record_mcp_connections([connection.name for connection in connections])
report_state.record_mcp_connections(connection_names)
def _note_exit_reason(reason: str) -> None:
"""Record why the scan stopped so the end-of-scan beacon reports it."""
report_state = get_global_report_state()
if report_state is not None and report_state.scan_ended_exit_reason is None:
report_state.scan_ended_exit_reason = reason
def _persist_mcp_status(roster: list[dict[str, Any]]) -> None:
@@ -313,6 +310,7 @@ async def run_strix_scan(
root_id = uuid.uuid4().hex[:8]
logger.info("Bringing up sandbox session for scan %s", scan_id)
set_scan_phase("sandbox_init")
bundle = await session_manager.create_or_reuse(
scan_id,
image=image,
@@ -322,6 +320,7 @@ async def run_strix_scan(
)
report("Waiting for the first model response")
logger.info("Sandbox ready for scan %s", scan_id)
set_scan_phase("agent_setup")
sandbox_session = bundle["session"]
@@ -338,7 +337,7 @@ async def run_strix_scan(
configure_spill_writer(_spill_to_workspace)
sessions_to_close: list[SQLiteSession] = []
mcp_sessions: list[SupervisedMcpSession] = []
mcp_registry: McpRegistry | None = None
try:
targets = scan_config.get("targets") or []
@@ -390,7 +389,6 @@ async def run_strix_scan(
from strix.tools.mcp import (
McpConnectionRequest,
McpRegistry,
attach_mcp_requests,
load_user_mcp_configs,
)
@@ -406,55 +404,37 @@ async def run_strix_scan(
else:
mcp_requests = mcp_connection_requests
if mcp_requests:
connections = await attach_mcp_requests(mcp_requests, mcp_registry)
mcp_sessions = [c.session for c in connections]
# Recorded even when nothing connected, so a resumed run does not
# keep attributing tool calls to servers it no longer has.
_record_mcp_connections(connections)
if connections:
report(_mcp_startup_summary(connections))
# Name the connected servers in the prompt so every agent
# (root and children, both deriving from scope_context) sees
# what is available at the start; they can still re-list or
# inspect them at run time via list_mcps / describe_mcp. Set
# only when a connection exists, so a run with no MCP leaves
# the prompt context unchanged.
scope_context["mcp_available"] = bool(mcp_registry)
scope_context["mcp_connections"] = [
{
"name": summary.name,
"purpose": summary.purpose,
"tool_count": summary.tool_count,
}
for summary in mcp_registry.summaries()
]
# Feed a non-secret connection roster (name / provider /
# tool_count / dead) to two consumers: once now (all
# currently healthy) and again whenever a connection later
# dies. It is always persisted to run.json so the viewer,
# which re-reads the run's files from disk, can render the
# MCP connections panel and health without an in-memory
# sink. When an interface sink is attached (the TUI backend,
# or pro forwarding into the app's event stream) it also
# receives the same snapshot. In-use is derived separately by
# each interface from the connection-tagged tool-call events,
# so it is not carried here.
def _emit_mcp_status() -> None:
roster = _mcp_roster_payload(mcp_registry)
_persist_mcp_status(roster)
if mcp_status_sink is not None:
try:
mcp_status_sink(roster)
except Exception:
logger.exception("MCP status sink failed")
for request in mcp_requests:
mcp_registry.register(request)
_record_mcp_connections(mcp_registry.names())
report(
f"MCP: configured {len(mcp_registry)} connection(s); "
"warming them in the background"
)
scope_context["mcp_available"] = True
scope_context["mcp_connections"] = [
{
"name": summary.name,
"purpose": summary.purpose,
"tool_count": summary.tool_count,
}
for summary in mcp_registry.summaries()
]
for connection_name in mcp_registry.names():
entry = mcp_registry.get(connection_name)
if entry is not None:
entry.session.set_on_dead(_emit_mcp_status)
_emit_mcp_status()
def _emit_mcp_status() -> None:
roster = _mcp_roster_payload(mcp_registry)
_persist_mcp_status(roster)
if mcp_status_sink is not None:
try:
mcp_status_sink(roster)
except Exception:
logger.exception("MCP status sink failed")
mcp_registry.set_status_sink(_emit_mcp_status)
_emit_mcp_status()
mcp_registry.start_warmup(max_concurrency=6)
except Exception:
logger.exception("Failed to connect user MCP servers; continuing without them")
logger.exception("Failed to configure user MCP servers; continuing without them")
root_context = _merge_root_prompt_context(scope_context, extra_system_prompt_context)
root_instructions = _compose_root_instructions_override(
@@ -572,6 +552,7 @@ async def run_strix_scan(
async with coordinator._lock:
root_status = coordinator.statuses.get(root_id)
set_scan_phase("agent_loop")
result = await run_agent_loop(
agent=root_agent,
initial_input=initial_input,
@@ -609,6 +590,7 @@ async def run_strix_scan(
return result # noqa: TRY300
except BudgetExceededError as exc:
logger.info("Scan %s stopped: %s", scan_id, exc)
_note_exit_reason("budget_exceeded")
if root_id is not None:
with contextlib.suppress(Exception):
await coordinator.set_status(root_id, "stopped")
@@ -621,6 +603,7 @@ async def run_strix_scan(
exc,
scan_id,
)
_note_exit_reason("rate_limited")
if root_id is not None:
with contextlib.suppress(Exception):
await coordinator.set_status(root_id, "stopped")
@@ -647,9 +630,9 @@ async def run_strix_scan(
for s in sessions_to_close:
with contextlib.suppress(Exception):
s.close()
for mcp_session in mcp_sessions:
if mcp_registry is not None:
with contextlib.suppress(Exception):
await mcp_session.aclose()
await mcp_registry.close()
with contextlib.suppress(Exception):
await coordinator._maybe_snapshot()
if cleanup_on_exit:
+22
View File
@@ -122,10 +122,32 @@ async def run_cli(args: Any) -> None: # noqa: PLR0915
console.print(vuln_panel)
console.print()
def display_vulnerability_deleted(report: dict[str, Any]) -> None:
report_id = str(report.get("id", "unknown"))
deletion = report.get("deletion")
deletion = deletion if isinstance(deletion, dict) else {}
deleted_by = deletion.get("agent_name") or deletion.get("agent_id") or "agent"
text = Text()
text.append("Withdrawn: ", style="bold")
text.append(f"{report.get('title', '')}\n\n")
text.append(f"Deleted by {deleted_by}. ", style="dim")
text.append(str(deletion.get("reason") or ""))
console.print(
Panel(
text,
title=f"[bold yellow]{report_id.upper()} (withdrawn)",
title_align="left",
border_style="yellow",
padding=(1, 2),
)
)
console.print()
report_state.vulnerability_found_callback = display_vulnerability
report_state.vulnerability_updated_callback = lambda report: display_vulnerability(
report, updated=True
)
report_state.vulnerability_deleted_callback = display_vulnerability_deleted
def cleanup_on_exit() -> None:
report_state.cleanup()
+11 -2
View File
@@ -98,6 +98,14 @@ Examples:
# Extra files placed in the sandbox workspace
strix --target ./my-project --workspace-file ./wordlist.txt
strix --target https://app.com --workspace-file ./openapi.yaml:specs/openapi.yaml
Strix Cloud:
strix cloud login
strix cloud scans start --source . --yes --wait
strix cloud # list every cloud resource
Run a pentest in Strix Cloud https://app.strix.ai
Try Strix Enterprise https://strix.ai/demo
""",
)
@@ -163,8 +171,9 @@ Examples:
help="Place a file from this machine into the sandbox workspace before the scan "
"starts, for example a wordlist, an API specification, or notes. Repeat the option "
"for more files. DEST is the path inside /workspace and defaults to the file name "
"(for example '--workspace-file ./wordlist.txt:lists/wordlist.txt'). The file is "
"read-only inside the sandbox and lands outside every target directory.",
"(for example '--workspace-file ./wordlist.txt:lists/wordlist.txt'). Strix copies "
"the file into the sandbox, outside every target directory. The agent can edit the "
"copy. The file on this machine does not change.",
)
parser.add_argument(
+1 -1
View File
@@ -14,7 +14,7 @@ import sys
from rich.console import Console
from rich.markup import escape
import strix.interface.cloud.http as http # noqa: PLR0402
from strix.interface.cloud import http
from strix.interface.cloud.render import json_mode
from strix.interface.cloud.runner import resolve, run
from strix.interface.cloud.session import run_session
+57 -10
View File
@@ -34,13 +34,30 @@ EXIT_AUTH = 4
EXIT_PAYMENT = 5
class CloudError(Exception):
"""A failed cloud command. Carries the process exit code."""
TOPUP_COMMAND = "strix cloud billing topup --credits <count>"
BALANCE_COMMAND = "strix cloud billing credits"
def __init__(self, message: str, *, exit_code: int = EXIT_ERROR, payload: Any = None) -> None:
class CloudError(Exception):
"""A failed cloud command. Carries the process exit code.
`next_step` is a short recovery instruction that the runner prints on its
own line after the error, so a person or an agent can act without reading
the docs.
"""
def __init__(
self,
message: str,
*,
exit_code: int = EXIT_ERROR,
payload: Any = None,
next_step: str | None = None,
) -> None:
super().__init__(message)
self.exit_code = exit_code
self.payload = payload
self.next_step = next_step
class CloudTransportError(CloudError):
@@ -349,13 +366,43 @@ def check(response: requests.Response) -> Any:
error_code = error_code or str(nested.get("code") or "")
detail = str(nested.get("message") or detail)
message = detail or f"HTTP {response.status_code}"
if error_code == "scan_credit_limit_reached":
raise CloudError(message, exit_code=EXIT_PAYMENT, payload=data)
if error_code == "scan_credit_limit_reached" or response.status_code == 402:
raise payment_required_error(data, detail=detail)
if response.status_code in (401, 403):
raise CloudError(message, exit_code=EXIT_AUTH, payload=data)
if response.status_code == 402:
hint = detail or (
"not enough credits. Run `strix cloud billing topup --credits N` to buy credits."
)
raise CloudError(hint, exit_code=EXIT_PAYMENT, payload=data)
raise CloudError(message, exit_code=EXIT_ERROR, payload=data)
def topup_url() -> str:
return f"{app_url()}/settings/billing"
def topup_next_step(url: str | None = None) -> str:
return (
f"Buy credits with `{TOPUP_COMMAND}` or at {url or topup_url()}. "
f"Run `{BALANCE_COMMAND}` to see the balance. Then retry this command."
)
def payment_required_error(data: Any, *, detail: str = "") -> CloudError:
"""Build the error for an exhausted credit balance.
The platform sends the recovery instruction in `hint` and repeats it inside
`detail`. The CLI shows the instruction once, on its own line, and adds its
own instruction when the platform sends none.
"""
server_hint = ""
server_url: str | None = None
if isinstance(data, dict):
raw = cast("dict[str, Any]", data)
server_hint = str(raw.get("hint") or "").strip()
raw_url = raw.get("topup_url")
if isinstance(raw_url, str) and raw_url.startswith("https://"):
server_url = raw_url
message = detail.strip()
if server_hint and message.endswith(server_hint):
message = message[: -len(server_hint)].strip()
if not message:
message = "Not enough credits to run this command."
next_step = server_hint or topup_next_step(server_url)
return CloudError(message, exit_code=EXIT_PAYMENT, payload=data, next_step=next_step)
+4
View File
@@ -1035,10 +1035,14 @@ def _emit_error(
payload = {"error": str(exc)}
if exc.payload is not None:
payload["detail"] = exc.payload
if exc.next_step:
payload["next_step"] = exc.next_step
sys.stdout.write(json.dumps(payload, indent=2, default=str) + "\n")
return
target = Console(stderr=True) if to_stderr else console
target.print(f"[red]Error:[/] {escape(sanitize_terminal_text(exc))}")
if exc.next_step:
target.print(f"[yellow]Next step:[/] {escape(sanitize_terminal_text(exc.next_step))}")
def _emit_interrupted(console: Console, *, as_json: bool, to_stderr: bool) -> None:
+35 -4
View File
@@ -203,6 +203,17 @@ def prepare_source(
"""Select safe source files and build a bounded temporary ZIP archive."""
source = Path(value).expanduser().resolve()
if not source.is_dir():
if source.is_file() and (
source.name.lower().endswith(_ARCHIVE_SUFFIXES) or _has_archive_magic(source)
):
raise http.CloudError(
f"--source must be a directory, not an archive: {source}",
next_step=(
"Extract the archive and pass the directory to --source. Strix packs the "
"directory and excludes dependencies, build output, and secret-like files. "
"Add --dry-run --show-files to review the selection first."
),
)
raise http.CloudError(f"--source must be a directory: {source}")
manifest = select_source(
source,
@@ -224,14 +235,34 @@ def prepare_source(
archive_bytes = archive_path.stat().st_size
if archive_bytes > MAX_ARCHIVE_BYTES:
archive_path.unlink(missing_ok=True)
raise http.CloudError(
"source archive is larger than the 50 MB upload limit; narrow --source or "
"add --exclude patterns."
)
raise _archive_too_large_error(manifest, archive_bytes)
digest = _sha256(archive_path)
return SourceBundle(manifest, archive_path, archive_bytes, digest)
_LARGEST_FILES_SHOWN = 5
def _format_mib(size: int) -> str:
return f"{size / (1024 * 1024):.1f} MiB"
def _archive_too_large_error(manifest: SourceManifest, archive_bytes: int) -> http.CloudError:
"""Name the largest selected files so the user knows what to exclude."""
largest = sorted(manifest.files, key=lambda item: item.size, reverse=True)
listed = ", ".join(
f"{item.archive_name} ({_format_mib(item.size)})" for item in largest[:_LARGEST_FILES_SHOWN]
)
return http.CloudError(
f"the source archive is {_format_mib(archive_bytes)}, larger than the "
f"{_format_mib(MAX_ARCHIVE_BYTES)} upload limit. Largest files: {listed}.",
next_step=(
"Add --exclude patterns for large files or directories, or point --source at a "
"smaller directory. Run with --dry-run --show-files to review the selection."
),
)
def select_source(
source: Path,
*,
+2 -1
View File
@@ -1066,7 +1066,8 @@ SPEC: dict[str, dict[str, Cmd]] = {
"request": Cmd(
"POST",
"/uploads/request",
"Request an upload URL.",
"Request an upload URL. To scan local source, prefer `strix cloud scans start "
"--source DIR`, which packs, uploads, and starts the scan in one step.",
body=(
P("file_name", required=True, help="File name."),
P("file_size", "int", required=True, help="File size in bytes."),
+30 -6
View File
@@ -8,17 +8,29 @@ from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from strix.config import codex, load_settings
from strix.config import IntegrationSettings, codex, load_settings
from strix.interface.utils import (
check_docker_connection,
image_exists,
process_pull_line,
)
from strix.telemetry import report_error
logger = logging.getLogger(__name__)
def _missing_web_search_vars(integrations: IntegrationSettings) -> list[str]:
"""Mirror the web_search provider rules: which key(s) the selected provider needs."""
if integrations.web_search_provider == "exa":
return [] if integrations.exa_api_key else ["EXA_API_KEY"]
if integrations.web_search_provider == "perplexity":
return [] if integrations.perplexity_api_key else ["PERPLEXITY_API_KEY"]
if integrations.exa_api_key or integrations.perplexity_api_key:
return []
return ["EXA_API_KEY", "PERPLEXITY_API_KEY"]
def validate_environment() -> None:
logger.info("Validating environment")
console = Console()
@@ -33,6 +45,7 @@ def validate_environment() -> None:
f"[red]STRIX_LLM={settings.llm.model} uses your ChatGPT subscription, "
"but you're not signed in.[/] Run [cyan]strix auth login chatgpt[/] first."
)
report_error("subscription_not_signed_in")
sys.exit(1)
logger.info("Environment OK (ChatGPT subscription)")
return
@@ -46,8 +59,7 @@ def validate_environment() -> None:
if not settings.llm.api_base:
missing_optional_vars.append("LLM_API_BASE")
if not settings.integrations.perplexity_api_key:
missing_optional_vars.append("PERPLEXITY_API_KEY")
missing_optional_vars.extend(_missing_web_search_vars(settings.integrations))
if missing_required_vars:
error_text = Text()
@@ -70,7 +82,7 @@ def validate_environment() -> None:
error_text.append("• ", style="white")
error_text.append("STRIX_LLM", style="bold cyan")
error_text.append(
" - Model name to use (e.g., 'openai/gpt-5.4' or "
" - Model name to use (e.g., 'openrouter/z-ai/glm-5.3' or "
"'anthropic/claude-opus-4-7')\n",
style="white",
)
@@ -89,7 +101,14 @@ def validate_environment() -> None:
error_text.append("• ", style="white")
error_text.append("PERPLEXITY_API_KEY", style="bold cyan")
error_text.append(
" - API key for Perplexity AI web search (enables real-time research)\n",
" - API key for Perplexity AI web search (alternative to Exa)\n",
style="white",
)
elif var == "EXA_API_KEY":
error_text.append("• ", style="white")
error_text.append("EXA_API_KEY", style="bold cyan")
error_text.append(
" - API key for Exa web search (enables real-time research)\n",
style="white",
)
elif var == "STRIX_REASONING_EFFORT":
@@ -102,7 +121,7 @@ def validate_environment() -> None:
)
error_text.append("\nExample setup:\n", style="white")
error_text.append("export STRIX_LLM='openai/gpt-5.4'\n", style="dim white")
error_text.append("export STRIX_LLM='openrouter/z-ai/glm-5.3'\n", style="dim white")
if missing_optional_vars:
for var in missing_optional_vars:
@@ -116,6 +135,8 @@ def validate_environment() -> None:
error_text.append(
"export PERPLEXITY_API_KEY='your-perplexity-key-here'\n", style="dim white"
)
elif var == "EXA_API_KEY":
error_text.append("export EXA_API_KEY='your-exa-key-here'\n", style="dim white")
elif var == "STRIX_REASONING_EFFORT":
error_text.append(
"export STRIX_REASONING_EFFORT='high'\n",
@@ -134,6 +155,7 @@ def validate_environment() -> None:
console.print("\n")
console.print(panel)
console.print()
report_error("missing_required_config")
sys.exit(1)
logger.info(
"Environment OK (optional missing: %s)",
@@ -161,6 +183,7 @@ def check_docker_installed() -> None:
padding=(1, 2),
)
console.print("\n", panel, "\n")
report_error("docker_not_installed")
sys.exit(1)
logger.debug("Docker CLI present")
@@ -208,6 +231,7 @@ def pull_docker_image() -> None:
padding=(1, 2),
)
console.print(panel, "\n")
report_error("image_pull_failed", e)
sys.exit(1)
logger.info("Docker image %s ready", image)
+25 -15
View File
@@ -41,7 +41,8 @@ from strix.interface.update_check import (
from strix.interface.utils import (
build_final_stats_text,
)
from strix.telemetry import posthog, scarf
from strix.llm.warmup import start_import_warmup, wait_for_import_warmup
from strix.telemetry import posthog, report_error, scarf, set_scan_phase
from strix.telemetry.logging import configure_dependency_logging
@@ -332,6 +333,11 @@ def display_completion_message(args: argparse.Namespace, results_path: Path) ->
"[#60a5fa]docs.strix.ai[/] [dim]·[/] "
"[#60a5fa]discord.gg/strix-ai[/]"
)
if not args.non_interactive:
console.print(
"[dim]Run a pentest in Strix Cloud[/] [#60a5fa]app.strix.ai[/] [dim]·[/] "
"[dim]Enterprise[/] [#60a5fa]strix.ai/demo[/]"
)
console.print()
if not args.non_interactive:
notify_update(console)
@@ -391,22 +397,22 @@ def _print_model_connection_error(exc: BaseException, model_name: str) -> None:
def _bootstrap_scan(args: argparse.Namespace) -> None:
"""Warm up the model and prepare the run for a non-interactive scan.
Interactive launches only validate the environment here; the model
preflight and run preparation happen inside the TUI so the interface
paints immediately instead of waiting on a model round trip.
Interactive launches skip this: the model preflight and run preparation
happen inside the TUI so the interface paints immediately instead of
waiting on a model round trip.
"""
validate_environment()
if not args.non_interactive:
return
set_scan_phase("preflight")
try:
asyncio.run(warm_up_llm(show_model_warning=True))
except ModelConnectionError as exc:
report_error("model_connection_failed", exc)
_print_model_connection_error(exc, exc.model_name)
sys.exit(1)
persist_current()
try:
prepare_run(args)
except ValueError as e:
report_error("scan_preparation_failed", e)
_print_error_panel("SCAN PREPARATION FAILED", str(e))
sys.exit(1)
telemetry_start(args)
@@ -453,8 +459,6 @@ def main() -> None:
sys.exit(run_cloud(sys.argv[2:]))
from strix.llm.warmup import start_import_warmup
start_import_warmup()
args = parse_arguments()
@@ -467,10 +471,12 @@ def main() -> None:
check_docker_installed()
pull_docker_image()
validate_environment()
# In setup mode the TUI collects the target, then runs prepare_run(),
# warm-up, and telemetry itself once the user starts the scan.
if not args.needs_setup:
# Everything below imports the scan engine; do not race the warm-up thread.
wait_for_import_warmup()
if args.non_interactive:
_bootstrap_scan(args)
from strix.report.state import get_global_report_state
@@ -481,18 +487,21 @@ def main() -> None:
from strix.interface.cli import run_cli
asyncio.run(run_cli(args))
# Headless runs have no user to quit: the agent either finished
# (already beaconed as finished_by_tool) or stopped on its own.
exit_reason = "agent_stopped"
else:
asyncio.run(run_tui(args))
except InteractiveSetupUnavailableError as exc:
exit_reason = "error"
report_error("interactive_setup_unavailable", exc)
_print_error_panel("INTERACTIVE SETUP UNAVAILABLE", str(exc))
sys.exit(1)
except KeyboardInterrupt:
exit_reason = "interrupted"
except Exception:
except Exception as exc:
exit_reason = "error"
posthog.error("unhandled_exception")
scarf.error("unhandled_exception")
report_error("unhandled_exception", exc)
raise
finally:
report_state = get_global_report_state()
@@ -511,6 +520,7 @@ def main() -> None:
if not args.run_name:
# Setup mode where the user quit before starting a scan: nothing ran.
notify_update(Console())
return
results_path = run_dir_for(args.run_name)
+29 -16
View File
@@ -36,7 +36,8 @@ if TYPE_CHECKING:
_STOPPABLE_AGENT_STATUSES = frozenset({"running", "waiting", "budget_paused"})
ChangeCallback = Callable[[], None]
StartCallback = Callable[[bool], Awaitable[None]]
StartCallback = Callable[[], Awaitable[None]]
VerifyCallback = Callable[[], Awaitable[None]]
QuitCallback = Callable[[], Awaitable[None]]
@@ -51,6 +52,7 @@ class TuiController:
coordinator: Any = None,
report_state: ReportState | None = None,
on_start: StartCallback | None = None,
on_verify: VerifyCallback | None = None,
on_quit: QuitCallback | None = None,
on_change: ChangeCallback | None = None,
) -> None:
@@ -99,7 +101,6 @@ class TuiController:
# A target-less launch enters the live view and asks there before
# anything is prepared; this holds the directory awaiting that answer.
self.pending_workspace_mount: str | None = None
self._pending_verify = True
self.messages: list[dict[str, str]] = []
self._next_message_id = 1
self.error: str | None = None
@@ -112,6 +113,7 @@ class TuiController:
self.viewer_url: str | None = None
self._viewer_httpd: Any = None
self._on_start = on_start
self._on_verify = on_verify
self._on_quit = on_quit
self._on_change = on_change
@@ -190,7 +192,7 @@ class TuiController:
model_warning = ""
if model and not is_recommended_or_frontier_model(model):
model_warning = (
f"{model} is not a recommended frontier model; pentest quality could be degraded"
f"{model} is not a recommended frontier model. Pentest quality could be degraded."
)
state = {
"setup_mode": self.setup_mode,
@@ -328,12 +330,6 @@ class TuiController:
async def _start(self, payload: dict[str, Any]) -> dict[str, Any]:
if self.scan_started or self._start_in_progress:
raise RuntimeError("Scan is already starting or running")
# A bare prompt launches optimistically, like a coding agent: it skips
# the network model preflight and surfaces any model error live. A named
# target keeps the preflight so a real scan does not commit blind.
verify = payload.get("verify", True)
if not isinstance(verify, bool):
raise TypeError("verify must be a boolean")
# Launching with no target mounts the working directory, so it requires
# the user's explicit confirmation rather than happening silently.
mount_working_dir = payload.get("mount_working_dir", False)
@@ -344,27 +340,44 @@ class TuiController:
raise ValueError("No model configured. Set STRIX_LLM first.")
if self._on_start is None:
raise RuntimeError("Scan start is unavailable")
if not self.targets and not mount_working_dir:
raise ValueError("No target set. Add a target first.")
# The model check runs while still on the start screen, for a bare
# prompt as much as for a named target, so a failure lands in the setup
# log where the user can fix it and retry rather than in a dead run.
await self._verify_model()
if not self.targets:
if not mount_working_dir:
raise ValueError("No target set. Add a target first.")
# Mounting the working directory needs the user's confirmation, and
# that is asked in the live view. Enter it now and prepare nothing
# until the answer arrives, so declining leaves no run behind.
self.pending_workspace_mount = str(Path.cwd())
self._pending_verify = verify
self.setup_mode = False
self.scan_started = True
self.scan_state = "preparing"
return {"started": True}
await self._begin_scan(verify)
await self._begin_scan()
return {"started": True}
async def _begin_scan(self, verify: bool) -> None:
async def _verify_model(self) -> None:
if self._on_verify is None:
return
self._start_in_progress = True
try:
await self._on_verify()
finally:
self._start_in_progress = False
async def _begin_scan(self) -> None:
if self._on_start is None:
raise RuntimeError("Scan start is unavailable")
self._start_in_progress = True
try:
await self._on_start(verify)
await self._on_start()
except Exception as exc:
if not self.setup_mode:
# The live view is already up, so the failure has to show there.
self.fail_preparation(str(exc))
raise
finally:
self._start_in_progress = False
self.setup_mode = False
@@ -384,7 +397,7 @@ class TuiController:
# the whole of the input either way; the working directory is only an
# extra the agent may look at, so the run goes ahead without one.
self.workspace_mount = mount if approved else None
await self._begin_scan(self._pending_verify)
await self._begin_scan()
return {"approved": approved}
async def _send_message(self, payload: dict[str, Any]) -> dict[str, Any]:
@@ -370,6 +370,17 @@ func TestStartedSnapshotTransitionsToLiveView(t *testing.T) {
}
}
func TestSplashModelWarningRendersTheBackendSentenceOnce(t *testing.T) {
warning := "openai/glm-5.3 is not a recommended frontier model. Pentest quality could be degraded."
got := ansi.Strip(splashModelWarning("openai/glm-5.3", warning))
if got != "⚠ "+warning {
t.Fatalf("splash warning = %q, want %q", got, "⚠ "+warning)
}
if got := ansi.Strip(splashModelWarning("other/model", warning)); got != "⚠ "+warning {
t.Fatalf("splash warning with unrelated model = %q", got)
}
}
func TestSetupStartScreenFitsNarrowTerminal(t *testing.T) {
model := New(nil)
model.width, model.height = 40, 18
+9 -12
View File
@@ -45,23 +45,20 @@ func (m *Model) submitSetupPrompt(value string) (tea.Model, tea.Cmd) {
if len(fields) > targets {
commands = append(commands, send(m.client, "setup.set_instruction", map[string]any{"instruction": value}))
}
// With a target, verify the model connection before the scan commits to it.
// A bare prompt launches optimistically, like a coding agent, and mounts the
// working directory - the backend asks about that from the live view, so the
// prompt is held here in case it is declined.
verify := targets > 0 || len(m.snapshot.Targets) > 0
payload := map[string]any{"verify": verify}
if verify {
m.setupMsg("Verifying model connection...", render.Col(amber))
} else {
// The backend verifies the model connection before either kind of launch
// and reports on it through the setup log. A bare prompt mounts the working
// directory - the backend asks about that from the live view, so the prompt
// is held here in case it is declined.
payload := map[string]any{}
if targets == 0 && len(m.snapshot.Targets) == 0 {
m.pendingPrompt = value
payload["mount_working_dir"] = true
}
commands = append(commands, send(m.client, "setup.start", payload))
// Ordered, not batched: setup.start leaves setup mode, so it must be the
// last command to reach the backend. Batched sends race, and once the
// preflight is skipped setup.start wins, making the target and instruction
// commands land after the guard closes and fail with a red error.
// last command to reach the backend. Batched sends race, and if setup.start
// wins the target and instruction commands land after the guard closes and
// fail with a red error.
return *m, tea.Sequence(commands...)
}
@@ -94,25 +94,6 @@ func commandTypes(envelopes []protocol.Envelope) []string {
return types
}
// startVerify returns the verify flag on the setup.start command, and whether
// a setup.start command was present at all.
func startVerify(t *testing.T, envelopes []protocol.Envelope) (verify, found bool) {
t.Helper()
for _, envelope := range envelopes {
if envelope.Type != "setup.start" {
continue
}
var payload struct {
Verify bool `json:"verify"`
}
if err := json.Unmarshal(envelope.Payload, &payload); err != nil {
t.Fatal(err)
}
return payload.Verify, true
}
return false, false
}
func contains(values []string, want string) bool {
for _, value := range values {
if value == want {
@@ -160,10 +141,6 @@ func TestSetupPromptWithoutTargetLaunchesAndRequestsMount(t *testing.T) {
if mount, found := startPayloadFlag(t, envelopes, "mount_working_dir"); !found || !mount {
t.Fatalf("mount was not requested: mount_working_dir=%v found=%v", mount, found)
}
// A bare prompt launches optimistically: no model preflight.
if verify, found := startVerify(t, envelopes); !found || verify {
t.Fatalf("bare prompt should launch with verify=false, got verify=%v found=%v", verify, found)
}
// setup.start leaves setup mode, so it must be the last command sent.
if start, instr := firstIndex(types, "setup.start"), lastIndex(types, "setup.set_instruction"); start < instr {
t.Fatalf("setup.start (%d) must come after setup.set_instruction (%d): %v", start, instr, types)
@@ -273,9 +250,8 @@ func TestSetupPromptWithTargetLaunches(t *testing.T) {
t.Fatalf("missing %s in %v", want, types)
}
}
// A named target keeps the upfront model check.
if verify, found := startVerify(t, envelopes); !found || !verify {
t.Fatalf("targeted prompt should launch with verify=true, got verify=%v found=%v", verify, found)
if _, found := startPayloadFlag(t, envelopes, "mount_working_dir"); found {
t.Fatalf("a targeted prompt must not ask to mount the working directory: %v", types)
}
// The target and instruction must reach the backend before setup.start
// closes the setup guard.
+10 -6
View File
@@ -411,7 +411,7 @@ func (m Model) splashView() string {
welcome + "\n" + version + "\n" + tagline + "\n\n" +
start.String() + "\n\n" + url
if warn := m.snapshot.ModelWarning; warn != "" {
content += "\n\n" + splashModelWarning(warn)
content += "\n\n" + splashModelWarning(m.snapshot.Model, warn)
}
panel := lipgloss.NewStyle().Border(lipgloss.RoundedBorder()).BorderForeground(green).Padding(1, 6).Align(lipgloss.Center).Render(content)
// #splash_screen background is solid black.
@@ -419,12 +419,16 @@ func (m Model) splashView() string {
lipgloss.WithWhitespaceBackground(black))
}
// splashModelWarning ports SplashScreen._build_model_warning_text.
func splashModelWarning(model string) string {
// splashModelWarning renders the backend's full warning sentence, with the
// model name highlighted when the sentence leads with it.
func splashModelWarning(model, warning string) string {
yellow := lipgloss.Color("#eab308")
return lipgloss.NewStyle().Bold(true).Foreground(yellow).Render("⚠ ") +
lipgloss.NewStyle().Bold(true).Foreground(render.Cyan).Render(model) +
lipgloss.NewStyle().Foreground(yellow).Render(" is not a recommended frontier model - pentest quality could be degraded")
out := lipgloss.NewStyle().Bold(true).Foreground(yellow).Render("⚠ ")
if model != "" && strings.HasPrefix(warning, model) {
out += lipgloss.NewStyle().Bold(true).Foreground(render.Cyan).Render(model)
warning = strings.TrimPrefix(warning, model)
}
return out + lipgloss.NewStyle().Foreground(yellow).Render(warning)
}
// chatPaneKey identifies everything the bordered trace depends on.
@@ -86,6 +86,8 @@ func Tool(data map[string]any) string {
return renderVulnerabilityReport(args, result)
case "update_vulnerability_report":
return renderVulnerabilityReportUpdate(args, result)
case "delete_vulnerability_report":
return renderVulnerabilityReportDelete(args, result)
case "create_dependency_report":
return renderDependencyReport(args, result)
case "list_reports":
@@ -21,6 +21,36 @@ func renderVulnerabilityReportUpdate(args map[string]any, result any) string {
return renderReport(args, result, "Vulnerability Report Updated", "Updating report...")
}
// A deletion names the report it withdraws and the reason; the result carries
// the title the report had, so the reader knows what left the scan.
func renderVulnerabilityReportDelete(args map[string]any, result any) string {
resultMap, _ := result.(map[string]any)
var b strings.Builder
b.WriteString("🐞 " + Bold(ReportHdr).Render("Vulnerability Report Deleted"))
reportID := StringValue(args["report_id"])
if reportID != "" {
b.WriteString("\n\n" + Bold(Field).Render("Report: ") + reportID)
}
if title := StringValue(resultMap["title"]); title != "" {
b.WriteString("\n\n" + Bold(Field).Render("Title: ") + title)
}
if sev := StringValue(resultMap["severity"]); sev != "" {
b.WriteString("\n\n" + Bold(Field).Render("Severity: ") +
lipgloss.NewStyle().Bold(true).Foreground(SeverityColor(sev)).Render(strings.ToUpper(sev)))
}
if reason := StringValue(args["delete_reason"]); reason != "" {
b.WriteString("\n\n" + Bold(Field).Render("Reason") + "\n" + reason)
}
if errMsg := StringValue(resultMap["error"]); errMsg != "" {
b.WriteString("\n\n" + Col(SevHigh).Render(errMsg))
}
if reportID == "" {
b.WriteString("\n " + Dim().Render("Deleting report..."))
}
return "\n\n" + b.String() + "\n\n"
}
func renderReport(args map[string]any, result any, heading, pending string) string {
resultMap, _ := result.(map[string]any)
var b strings.Builder
+80 -16
View File
@@ -37,6 +37,7 @@ from strix.interface.tui.sidecar import (
)
from strix.interface.utils import read_workspace_files
from strix.report.state import ReportState, set_global_report_state
from strix.telemetry import report_error, set_scan_phase
from strix.utils.resource_paths import get_strix_resource_path
@@ -48,6 +49,11 @@ if TYPE_CHECKING:
logger = logging.getLogger(__name__)
def _revision_count(report: dict[str, Any]) -> int:
history = report.get("update_history")
return len(history) if isinstance(history, list) else 0
class GoTuiPreActivationError(RuntimeError):
"""A sidecar failure raised before the Go TUI activates."""
@@ -63,11 +69,14 @@ class GoTuiRuntime:
self.scan_error: BaseException | None = None
self._last_sync_fingerprint = ""
self._error_noted_agents: set[str] = set()
self.model_verified = False
self._setup_preflight: asyncio.Task[None] | None = None
self.controller = TuiController(
args,
live_view=self.live_view,
coordinator=self.coordinator,
on_start=self.start_from_setup,
on_verify=self.ensure_model_verified,
on_quit=self.quit,
)
self.server = TuiBackendServer(self.controller)
@@ -105,9 +114,58 @@ class GoTuiRuntime:
self.report_state.vulnerability_updated_callback = lambda _report: (
self.controller.notify_changed()
)
self.report_state.vulnerability_deleted_callback = lambda _report: (
self.controller.notify_changed()
)
self.controller.notify_changed()
async def start_from_setup(self, verify: bool = True) -> None:
async def check_setup_model(self) -> None:
"""Verify the model route as soon as the start screen is up.
The same round trip a direct launch makes in prepare_and_start, run in
the background so the screen paints first and the outcome lands in the
setup log before the user has finished typing.
"""
if not (load_settings().llm.model or "").strip():
return
try:
await self._preflight_model()
except Exception as exc:
logger.exception("Go TUI setup model preflight failed")
self.controller.add_message(f"Model connection failed: {exc}", "error")
return
self.controller.add_message("Model connection verified")
async def ensure_model_verified(self) -> None:
"""Hold a setup launch until the model has answered once."""
preflight = self._setup_preflight
if preflight is not None and not preflight.done():
await asyncio.shield(preflight)
if self.model_verified:
return
try:
await self._preflight_model()
except Exception as exc:
logger.exception("Go TUI setup model preflight failed")
report_error("model_connection_failed", exc)
raise RuntimeError(f"Model connection failed: {exc}") from exc
async def _preflight_model(self) -> None:
model = (load_settings().llm.model or "").strip()
self.controller.add_message("Verifying model connection...")
set_scan_phase("preflight")
await preflight_model_connection(model)
self.model_verified = True
def _start_preparation(self) -> asyncio.Task[None]:
"""Kick off the work that runs behind the freshly painted TUI."""
if self.controller.setup_mode:
self._setup_preflight = asyncio.create_task(self.check_setup_model())
return self._setup_preflight
self.controller.begin_preparation()
return asyncio.create_task(self.prepare_and_start())
async def start_from_setup(self) -> None:
candidate = deepcopy(self.args)
candidate.scan_mode = self.controller.scan_mode
candidate.instruction = self.controller.instruction
@@ -124,16 +182,7 @@ class GoTuiRuntime:
if isinstance(target, dict) and target.get("original")
]
targets_changed = self.controller.targets != existing_targets
model = (load_settings().llm.model or "").strip()
# A bare prompt launches optimistically: it skips the network preflight
# and lets any model error surface once the agent starts, like a coding
# agent. A named target keeps the upfront check.
if verify:
try:
await preflight_model_connection(model)
except Exception as exc:
logger.exception("Go TUI setup model preflight failed")
raise RuntimeError(f"Model connection failed: {exc}") from exc
persist_current()
# A confirmed target-less launch mounts the working directory for the
# agent to work in, without making it a scan target.
candidate.workspace_mount = self.controller.workspace_mount
@@ -143,7 +192,11 @@ class GoTuiRuntime:
candidate.target = list(self.controller.targets)
candidate.target_list = []
build_targets_info(candidate)
prepare_run(candidate)
try:
prepare_run(candidate)
except Exception as exc:
report_error("scan_preparation_failed", exc)
raise
telemetry_start(candidate)
vars(self.args).update(vars(candidate))
@@ -157,13 +210,21 @@ class GoTuiRuntime:
launch so the interface appears immediately.
"""
model = (load_settings().llm.model or "").strip()
set_scan_phase("preflight")
try:
await preflight_model_connection(model)
except Exception as exc:
logger.exception("Go TUI scan preparation failed")
report_error("model_connection_failed", exc)
self.controller.fail_preparation(str(exc))
return
try:
persist_current()
prepare_run(self.args)
telemetry_start(self.args)
except Exception as exc:
logger.exception("Go TUI scan preparation failed")
report_error("scan_preparation_failed", exc)
self.controller.fail_preparation(str(exc))
return
self.controller.scan_state = "running"
@@ -202,6 +263,9 @@ class GoTuiRuntime:
self.controller.scan_state = "completed" if report_status == "completed" else "stopped"
except Exception as exc:
logger.exception("Go TUI scan failed")
report_error("unhandled_exception", exc)
if self.report_state is not None and self.report_state.scan_ended_exit_reason is None:
self.report_state.scan_ended_exit_reason = "error"
self.scan_error = exc
self.controller.error = str(exc)
self.controller.scan_state = "failed"
@@ -283,7 +347,9 @@ class GoTuiRuntime:
if self.report_state is not None:
usage = dict(self.report_state.get_total_llm_usage())
vulnerabilities = [
report.get("id", index) if isinstance(report, dict) else index
(report.get("id", index), _revision_count(report))
if isinstance(report, dict)
else index
for index, report in enumerate(self.report_state.vulnerability_reports)
]
return json.dumps(
@@ -376,9 +442,7 @@ class GoTuiRuntime:
)
process, backend_socket = await launch_tui_process(command, env, cwd)
await self.server.start(backend_socket)
if not self.controller.setup_mode:
self.controller.begin_preparation()
prepare_task = asyncio.create_task(self.prepare_and_start())
prepare_task = self._start_preparation()
sync_task = asyncio.create_task(self.sync_state())
return_code = await wait_process(process)
check_return_code(return_code)
+4 -1
View File
@@ -19,6 +19,7 @@ from rich.panel import Panel
from rich.text import Text
from strix.config import load_settings
from strix.telemetry import report_error
from strix.utils.api_spec import detect_spec_format
@@ -1322,6 +1323,7 @@ def collect_local_sources(targets_info: list[dict[str, Any]]) -> list[dict[str,
"source_path": details["target_path"],
"workspace_subdir": workspace_subdir,
"protect_metadata": True,
"read_only": bool(details.get("read_only")),
}
)
@@ -1602,7 +1604,8 @@ def check_docker_connection() -> Any:
try:
return docker.from_env()
except DockerException:
except DockerException as exc:
report_error("docker_unavailable", exc)
console = Console()
error_text = Text()
error_text.append("DOCKER NOT AVAILABLE", style="bold red")
+13 -1
View File
@@ -87,7 +87,7 @@ def run_view(argv: list[str]) -> None:
posthog.viewer_opened(source="cli", live=live)
state_label = "[#eab308]live[/]" if live else "[#22c55e]finished[/]"
state_label = _state_label(summary)
console.print()
console.print(f"Serving [bold white]{run_name}[/] ({state_label}) at:")
# Print the URL alone on its own line with soft_wrap so Rich never inserts a
@@ -107,6 +107,18 @@ def run_view(argv: list[str]) -> None:
httpd.server_close()
def _state_label(summary: dict[str, object]) -> str:
if not summary.get("finished", False):
return "[#eab308]live[/]"
status = summary.get("status")
if status == "failed":
return "[#ef4444]failed[/]"
if status in {"stopped", "interrupted"}:
return f"[#eab308]{status}[/]"
return "[#22c55e]finished[/]"
def _resolve_run_dir(run: str | None, console: Console) -> Path:
if run:
run_dir = run_dir_for(run)
+38 -3
View File
@@ -8,6 +8,7 @@ import {
Radar,
Rocket,
ArrowUpRight,
Building2,
History,
} from "lucide-react";
import type { Vulnerability, VulnerabilitySeverity } from "@/types/issues";
@@ -35,7 +36,7 @@ import {
type LoadedRun,
type RunsPayload,
} from "@/data/serverSource";
import { SIGNUP_URL, ctaUrl, trackCta } from "@/lib/cta";
import { SIGNUP_URL, DEMO_URL, ctaUrl, trackCta } from "@/lib/cta";
import { runTitle } from "@/lib/target-utils";
import Sidebar from "@/components/Sidebar";
import PastRunsView from "@/components/PastRunsView";
@@ -706,6 +707,31 @@ function OverviewTab({
</div>
)}
{finished && (
<div className="animate-card-in rounded-xl border border-[#222] bg-[rgba(255,255,255,0.02)] p-5">
<p className="text-sm font-semibold text-white">Strix Cloud</p>
<p className="mt-0.5 text-xs text-[#666]">Run your next pentest in Strix Cloud.</p>
<div className="mt-3 flex flex-wrap gap-2.5">
<ProInlineCta
label="Run a pentest in Strix Cloud"
desc="Validated findings, autofix, and PR reviews."
slug="overview_cloud"
surface="overview"
icon={Rocket}
primary
/>
<ProInlineCta
label="Try Strix Enterprise"
desc="SSO, compliance-ready reports, VPC or self-hosted deployment."
slug="book_demo"
surface="overview"
icon={Building2}
href={DEMO_URL}
/>
</div>
</div>
)}
{sections.length > 0 ? (
<div className="animate-card-in rounded-xl border border-[#222] bg-[rgba(255,255,255,0.02)] p-5 space-y-8">
{sections.map((s) => (
@@ -789,14 +815,23 @@ function AgentsTab({ run, canSteer }: { run: LoadedRun; canSteer: boolean }) {
{/* Re-run always routes to Strix Cloud. */}
<div className="rounded-xl border border-[#222] bg-[rgba(255,255,255,0.02)] p-5">
<p className="text-sm font-semibold text-white">Run this pentest with more depth</p>
<p className="mt-0.5 text-xs text-[#666]">Re-run this pentest on managed infra in the cloud.</p>
<p className="mt-0.5 text-xs text-[#666]">Run this pentest again in Strix Cloud.</p>
<div className="mt-3 flex flex-wrap gap-2.5">
<ProInlineCta
label="Re-run in Strix Pro with more depth"
desc="Run this pentest on managed infra with more depth."
desc="More depth, validated findings, and autofix."
slug="live_scan"
surface="agents"
icon={Rocket}
primary
/>
<ProInlineCta
label="Try Strix Enterprise"
desc="SSO, compliance-ready reports, VPC or self-hosted deployment."
slug="book_demo"
surface="agents"
icon={Building2}
href={DEMO_URL}
/>
</div>
</div>
@@ -48,23 +48,40 @@ export function ProInlineCta({
slug,
icon: Icon,
surface,
href = SIGNUP_URL,
primary = false,
}: {
label: string;
desc: string;
slug: string;
icon: React.ElementType;
surface?: string;
/** Destination before attribution params. Defaults to cloud sign-up. */
href?: string;
/** Solid white button instead of the outlined default. */
primary?: boolean;
}) {
return (
<Tooltip text={desc}>
<a
href={ctaUrl(SIGNUP_URL, slug)}
href={ctaUrl(href, slug)}
target="_blank"
rel="noopener noreferrer"
onClick={() => trackCta(slug, surface)}
className="group inline-flex items-center gap-2 rounded-lg border border-[#222] bg-[rgba(255,255,255,0.02)] px-3 py-2 text-sm text-[#aaa] transition-colors hover:border-[#444] hover:text-white"
className={
primary
? "group inline-flex items-center gap-2 rounded-lg border border-white bg-white px-3 py-2 text-sm font-semibold text-black transition-colors hover:bg-[#e5e5e5]"
: "group inline-flex items-center gap-2 rounded-lg border border-[#222] bg-[rgba(255,255,255,0.02)] px-3 py-2 text-sm text-[#aaa] transition-colors hover:border-[#444] hover:text-white"
}
>
<Icon className="h-4 w-4 text-[#888] transition-colors group-hover:text-white" aria-hidden="true" />
<Icon
className={
primary
? "h-4 w-4 text-black"
: "h-4 w-4 text-[#888] transition-colors group-hover:text-white"
}
aria-hidden="true"
/>
<span>{label}</span>
</a>
</Tooltip>
@@ -10,7 +10,7 @@ import {
WandSparkles,
Plug,
} from "lucide-react";
import { SIGNUP_URL, PRICING_URL, ctaUrl, trackCta } from "@/lib/cta";
import { SIGNUP_URL, PRICING_URL, DEMO_URL, ctaUrl, trackCta } from "@/lib/cta";
/**
* Dialog shown when a platform feature is clicked in the sidebar: a short
@@ -141,6 +141,19 @@ export function UpgradeModal({
<ExternalLink className="h-3 w-3" />
</a>
</div>
<p className="text-center text-xs text-[#666]">
SSO, compliance reports, or a private deployment?{" "}
<a
href={ctaUrl(DEMO_URL, "upgrade_book_demo")}
target="_blank"
rel="noopener noreferrer"
onClick={() => trackCta("upgrade_book_demo", source)}
className="whitespace-nowrap text-[#aaa] underline underline-offset-2 transition-colors hover:text-white"
>
Try Strix Enterprise
</a>
</p>
</div>
</div>
</div>
@@ -0,0 +1,49 @@
"use client";
import type { ToolRendererProps } from "@/types/events";
import { TruncatedText } from "./ToolCard";
const SEVERITY_COLORS: Record<string, string> = {
critical: "text-red-400", high: "text-orange-400", medium: "text-yellow-400",
low: "text-blue-400", info: "text-cyan-400",
};
/** A withdrawn finding: which report went, and what disproved it. */
export default function VulnReportDeleteRenderer({ args, result, status }: ToolRendererProps) {
const reportId = (args.report_id as string) ?? "";
const reason = (args.delete_reason as string) ?? "";
const res = result && typeof result === "object" ? (result as Record<string, unknown>) : null;
const ok = res?.success === true;
const error = typeof res?.error === "string" ? res.error : "";
const title = typeof res?.title === "string" ? res.title : "";
const severity = typeof res?.severity === "string" ? res.severity.toLowerCase() : "";
const failed = res != null ? !ok : status === "failed" || status === "error";
const pending = res == null && !failed;
const label = pending ? "withdrawing report\u2026" : failed ? "report not withdrawn" : "report withdrawn";
const labelColor = pending ? "text-[#888]" : failed ? "text-red-400/80" : "text-yellow-400/80";
return (
<div className="space-y-2">
<div className="flex items-center gap-2 flex-wrap">
<span className={`font-semibold text-sm ${labelColor}`} aria-live="polite">
{label}
</span>
{reportId && <span className="text-[#555] font-mono text-[13px]">{reportId}</span>}
{severity && (
<span className={`text-[13px] line-through ${SEVERITY_COLORS[severity] ?? "text-[#888]"}`}>
{severity.toUpperCase()}
</span>
)}
</div>
{title && <div className="text-[15px] text-white/60 line-through">{title}</div>}
{reason && (
<div>
<span className="text-emerald-400/60 text-sm font-semibold">Why</span>
<div className="mt-1"><TruncatedText text={reason} maxLines={10} /></div>
</div>
)}
{error && <div className="text-red-400/80 text-[13px]">{error}</div>}
</div>
);
}
@@ -12,6 +12,7 @@ import FileEditRenderer from "./FileEditRenderer";
import ApplyPatchRenderer from "./ApplyPatchRenderer";
import ViewImageRenderer from "./ViewImageRenderer";
import VulnReportRenderer from "./VulnReportRenderer";
import VulnReportDeleteRenderer from "./VulnReportDeleteRenderer";
import ReportListRenderer from "./ReportListRenderer";
import ProxyRenderer from "./ProxyRenderer";
import ThinkRenderer from "./ThinkRenderer";
@@ -116,7 +117,7 @@ const CATEGORY_TOOLS: Record<ToolCategory, readonly string[]> = {
filesystem: ["apply_patch", "view_image", "str_replace_editor", "list_files", "search_files"],
// Caido proxy tools (legacy: send_request)
proxy: ["list_requests", "view_request", "repeat_request", "list_sitemap", "view_sitemap_entry", "scope_rules", "send_request"],
reporting: ["create_vulnerability_report", "update_vulnerability_report", "list_reports", "get_report"],
reporting: ["create_vulnerability_report", "update_vulnerability_report", "delete_vulnerability_report", "list_reports", "get_report"],
thinking: ["think"],
agents: ["create_agent", "agent_finish", "send_message_to_agent", "wait_for_agents", "view_agent_graph", "stop_agent"],
search: ["web_search"],
@@ -151,6 +152,7 @@ const RENDERER_OVERRIDES: Partial<Record<string, ComponentType<ToolRendererProps
view_image: ViewImageRenderer,
list_reports: ReportListRenderer,
get_report: ReportListRenderer,
delete_vulnerability_report: VulnReportDeleteRenderer,
};
/**
@@ -7,4 +7,4 @@ pre code.hljs{display:block;overflow-x:auto;padding:1em}code.hljs{padding:3px 5p
Outdated base version: https://github.com/primer/github-syntax-dark
Current colors taken from GitHub's CSS
*/.hljs{color:#c9d1d9;background:#0d1117}.hljs-doctag,.hljs-keyword,.hljs-meta .hljs-keyword,.hljs-template-tag,.hljs-template-variable,.hljs-type,.hljs-variable.language_{color:#ff7b72}.hljs-title,.hljs-title.class_,.hljs-title.class_.inherited__,.hljs-title.function_{color:#d2a8ff}.hljs-attr,.hljs-attribute,.hljs-literal,.hljs-meta,.hljs-number,.hljs-operator,.hljs-variable,.hljs-selector-attr,.hljs-selector-class,.hljs-selector-id{color:#79c0ff}.hljs-regexp,.hljs-string,.hljs-meta .hljs-string{color:#a5d6ff}.hljs-built_in,.hljs-symbol{color:#ffa657}.hljs-comment,.hljs-code,.hljs-formula{color:#8b949e}.hljs-name,.hljs-quote,.hljs-selector-tag,.hljs-selector-pseudo{color:#7ee787}.hljs-subst{color:#c9d1d9}.hljs-section{color:#1f6feb;font-weight:700}.hljs-bullet{color:#f2cc60}.hljs-emphasis{color:#c9d1d9;font-style:italic}.hljs-strong{color:#c9d1d9;font-weight:700}.hljs-addition{color:#aff5b4;background-color:#033a16}.hljs-deletion{color:#ffdcd7;background-color:#67060c}.react-flow{direction:ltr;--xy-edge-stroke-default: #b1b1b7;--xy-edge-stroke-width-default: 1;--xy-edge-stroke-selected-default: #555;--xy-connectionline-stroke-default: #b1b1b7;--xy-connectionline-stroke-width-default: 1;--xy-attribution-background-color-default: rgba(255, 255, 255, .5);--xy-minimap-background-color-default: #fff;--xy-minimap-mask-background-color-default: rgba(240, 240, 240, .6);--xy-minimap-mask-stroke-color-default: transparent;--xy-minimap-mask-stroke-width-default: 1;--xy-minimap-node-background-color-default: #e2e2e2;--xy-minimap-node-stroke-color-default: transparent;--xy-minimap-node-stroke-width-default: 2;--xy-background-color-default: transparent;--xy-background-pattern-dots-color-default: #91919a;--xy-background-pattern-lines-color-default: #eee;--xy-background-pattern-cross-color-default: #e2e2e2;background-color:var(--xy-background-color, var(--xy-background-color-default));--xy-node-color-default: inherit;--xy-node-border-default: 1px solid #1a192b;--xy-node-background-color-default: #fff;--xy-node-group-background-color-default: rgba(240, 240, 240, .25);--xy-node-boxshadow-hover-default: 0 1px 4px 1px rgba(0, 0, 0, .08);--xy-node-boxshadow-selected-default: 0 0 0 .5px #1a192b;--xy-node-border-radius-default: 3px;--xy-handle-background-color-default: #1a192b;--xy-handle-border-color-default: #fff;--xy-selection-background-color-default: rgba(0, 89, 220, .08);--xy-selection-border-default: 1px dotted rgba(0, 89, 220, 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#2b2b2b;--xy-minimap-node-stroke-color-default: transparent;--xy-minimap-node-stroke-width-default: 2;--xy-background-color-default: #141414;--xy-background-pattern-dots-color-default: #555;--xy-background-pattern-lines-color-default: #333;--xy-background-pattern-cross-color-default: #333;--xy-node-color-default: #f8f8f8;--xy-node-border-default: 1px solid #3c3c3c;--xy-node-background-color-default: #1e1e1e;--xy-node-group-background-color-default: rgba(240, 240, 240, .25);--xy-node-boxshadow-hover-default: 0 1px 4px 1px rgba(255, 255, 255, .08);--xy-node-boxshadow-selected-default: 0 0 0 .5px #999;--xy-handle-background-color-default: #bebebe;--xy-handle-border-color-default: #1e1e1e;--xy-selection-background-color-default: rgba(200, 200, 220, .08);--xy-selection-border-default: 1px dotted rgba(200, 200, 220, .8);--xy-controls-button-background-color-default: #2b2b2b;--xy-controls-button-background-color-hover-default: #3e3e3e;--xy-controls-button-color-default: #f8f8f8;--xy-controls-button-color-hover-default: #fff;--xy-controls-button-border-color-default: #5b5b5b;--xy-controls-box-shadow-default: 0 0 2px 1px rgba(0, 0, 0, .08);--xy-edge-label-background-color-default: #141414;--xy-edge-label-color-default: #f8f8f8}.react-flow__background{background-color:var(--xy-background-color-props, var(--xy-background-color, var(--xy-background-color-default)));pointer-events:none;z-index:-1}.react-flow__container{position:absolute;width:100%;height:100%;top:0;left:0}.react-flow__pane{z-index:1;touch-action:none}.react-flow__panLine truncated
*/.hljs{color:#c9d1d9;background:#0d1117}.hljs-doctag,.hljs-keyword,.hljs-meta .hljs-keyword,.hljs-template-tag,.hljs-template-variable,.hljs-type,.hljs-variable.language_{color:#ff7b72}.hljs-title,.hljs-title.class_,.hljs-title.class_.inherited__,.hljs-title.function_{color:#d2a8ff}.hljs-attr,.hljs-attribute,.hljs-literal,.hljs-meta,.hljs-number,.hljs-operator,.hljs-variable,.hljs-selector-attr,.hljs-selector-class,.hljs-selector-id{color:#79c0ff}.hljs-regexp,.hljs-string,.hljs-meta .hljs-string{color:#a5d6ff}.hljs-built_in,.hljs-symbol{color:#ffa657}.hljs-comment,.hljs-code,.hljs-formula{color:#8b949e}.hljs-name,.hljs-quote,.hljs-selector-tag,.hljs-selector-pseudo{color:#7ee787}.hljs-subst{color:#c9d1d9}.hljs-section{color:#1f6feb;font-weight:700}.hljs-bullet{color:#f2cc60}.hljs-emphasis{color:#c9d1d9;font-style:italic}.hljs-strong{color:#c9d1d9;font-weight:700}.hljs-addition{color:#aff5b4;background-color:#033a16}.hljs-deletion{color:#ffdcd7;background-color:#67060c}.react-flow{direction:ltr;--xy-edge-stroke-default: #b1b1b7;--xy-edge-stroke-width-default: 1;--xy-edge-stroke-selected-default: #555;--xy-connectionline-stroke-default: #b1b1b7;--xy-connectionline-stroke-width-default: 1;--xy-attribution-background-color-default: rgba(255, 255, 255, .5);--xy-minimap-background-color-default: #fff;--xy-minimap-mask-background-color-default: rgba(240, 240, 240, .6);--xy-minimap-mask-stroke-color-default: transparent;--xy-minimap-mask-stroke-width-default: 1;--xy-minimap-node-background-color-default: #e2e2e2;--xy-minimap-node-stroke-color-default: transparent;--xy-minimap-node-stroke-width-default: 2;--xy-background-color-default: transparent;--xy-background-pattern-dots-color-default: #91919a;--xy-background-pattern-lines-color-default: #eee;--xy-background-pattern-cross-color-default: #e2e2e2;background-color:var(--xy-background-color, var(--xy-background-color-default));--xy-node-color-default: inherit;--xy-node-border-default: 1px solid #1a192b;--xy-node-background-color-default: #fff;--xy-node-group-background-color-default: rgba(240, 240, 240, .25);--xy-node-boxshadow-hover-default: 0 1px 4px 1px rgba(0, 0, 0, .08);--xy-node-boxshadow-selected-default: 0 0 0 .5px #1a192b;--xy-node-border-radius-default: 3px;--xy-handle-background-color-default: #1a192b;--xy-handle-border-color-default: #fff;--xy-selection-background-color-default: rgba(0, 89, 220, .08);--xy-selection-border-default: 1px dotted rgba(0, 89, 220, .8);--xy-controls-button-background-color-default: #fefefe;--xy-controls-button-background-color-hover-default: #f4f4f4;--xy-controls-button-color-default: inherit;--xy-controls-button-color-hover-default: inherit;--xy-controls-button-border-color-default: #eee;--xy-controls-box-shadow-default: 0 0 2px 1px rgba(0, 0, 0, .08);--xy-edge-label-background-color-default: #ffffff;--xy-edge-label-color-default: inherit;--xy-resize-background-color-default: #3367d9}.react-flow.dark{--xy-edge-stroke-default: #3e3e3e;--xy-edge-stroke-width-default: 1;--xy-edge-stroke-selected-default: #727272;--xy-connectionline-stroke-default: #b1b1b7;--xy-connectionline-stroke-width-default: 1;--xy-attribution-background-color-default: rgba(150, 150, 150, .25);--xy-minimap-background-color-default: #141414;--xy-minimap-mask-background-color-default: rgba(60, 60, 60, .6);--xy-minimap-mask-stroke-color-default: transparent;--xy-minimap-mask-stroke-width-default: 1;--xy-minimap-node-background-color-default: #2b2b2b;--xy-minimap-node-stroke-color-default: transparent;--xy-minimap-node-stroke-width-default: 2;--xy-background-color-default: #141414;--xy-background-pattern-dots-color-default: #555;--xy-background-pattern-lines-color-default: #333;--xy-background-pattern-cross-color-default: #333;--xy-node-color-default: #f8f8f8;--xy-node-border-default: 1px solid #3c3c3c;--xy-node-background-color-default: #1e1e1e;--xy-node-group-background-color-default: rgba(240, 240, 240, .25);--xy-node-boxshadow-hover-default: 0 1px 4px 1px rgba(255, 255, 255, .08);--xy-node-boxshadow-selected-default: 0 0 0 .5px #999;--xy-handle-background-color-default: #bebebe;--xy-handle-border-color-default: #1e1e1e;--xy-selection-background-color-default: rgba(200, 200, 220, .08);--xy-selection-border-default: 1px dotted rgba(200, 200, 220, .8);--xy-controls-button-background-color-default: #2b2b2b;--xy-controls-button-background-color-hover-default: #3e3e3e;--xy-controls-button-color-default: #f8f8f8;--xy-controls-button-color-hover-default: #fff;--xy-controls-button-border-color-default: #5b5b5b;--xy-controls-box-shadow-default: 0 0 2px 1px rgba(0, 0, 0, .08);--xy-edge-label-background-color-default: #141414;--xy-edge-label-color-default: #f8f8f8}.react-flow__background{background-color:var(--xy-background-color-props, var(--xy-background-color, var(--xy-background-color-default)));pointer-events:none;z-index:-1}.react-flow__container{position:absolute;width:100%;height:100%;top:0;left:0}.react-flow__pane{z-index:1;touch-action:none}.react-flow__panLine truncated
@@ -1,4 +1,4 @@
(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const s of document.querySelectorAll('link[rel="modulepreload"]'))a(s);new MutationObserver(s=>{for(const o of s)if(o.type==="childList")for(const c of o.addedNodes)c.tagName==="LINK"&&c.rel==="modulepreload"&&a(c)}).observe(document,{childList:!0,subtree:!0});function r(s){const o={};return s.integrity&&(o.integrity=s.integrity),s.referrerPolicy&&(o.referrerPolicy=s.referrerPolicy),s.crossOrigin==="use-credentials"?o.credentials="include":s.crossOrigin==="anonymous"?o.credentials="omit":o.credentials="same-origin",o}function a(s){if(s.ep)return;s.ep=!0;const o=r(s);fetch(s.href,o)}})();function Ao(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var fh={exports:{}},Xl={};/**
(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const s of document.querySelectorAll('link[rel="modulepreload"]'))a(s);new MutationObserver(s=>{for(const o of s)if(o.type==="childList")for(const c of o.addedNodes)c.tagName==="LINK"&&c.rel==="modulepreload"&&a(c)}).observe(document,{childList:!0,subtree:!0});function r(s){const o={};return s.integrity&&(o.integrity=s.integrity),s.referrerPolicy&&(o.referrerPolicy=s.referrerPolicy),s.crossOrigin==="use-credentials"?o.credentials="include":s.crossOrigin==="anonymous"?o.credentials="omit":o.credentials="same-origin",o}function a(s){if(s.ep)return;s.ep=!0;const o=r(s);fetch(s.href,o)}})();function Mo(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var hh={exports:{}},Xl={};/**
* @license React
* react-jsx-runtime.production.js
*
@@ -6,7 +6,7 @@
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/var Q0;function Mk(){if(Q0)return Xl;Q0=1;var e=Symbol.for("react.transitional.element"),t=Symbol.for("react.fragment");function r(a,s,o){var c=null;if(o!==void 0&&(c=""+o),s.key!==void 0&&(c=""+s.key),"key"in s){o={};for(var d in s)d!=="key"&&(o[d]=s[d])}else o=s;return s=o.ref,{$$typeof:e,type:a,key:c,ref:s!==void 0?s:null,props:o}}return Xl.Fragment=t,Xl.jsx=r,Xl.jsxs=r,Xl}var W0;function Ok(){return W0||(W0=1,fh.exports=Mk()),fh.exports}var m=Ok(),hh={exports:{}},Ve={};/**
*/var J0;function jk(){if(J0)return Xl;J0=1;var e=Symbol.for("react.transitional.element"),t=Symbol.for("react.fragment");function r(a,s,o){var c=null;if(o!==void 0&&(c=""+o),s.key!==void 0&&(c=""+s.key),"key"in s){o={};for(var d in s)d!=="key"&&(o[d]=s[d])}else o=s;return s=o.ref,{$$typeof:e,type:a,key:c,ref:s!==void 0?s:null,props:o}}return Xl.Fragment=t,Xl.jsx=r,Xl.jsxs=r,Xl}var ey;function Dk(){return ey||(ey=1,hh.exports=jk()),hh.exports}var m=Dk(),mh={exports:{}},Ve={};/**
* @license React
* react.production.js
*
@@ -14,7 +14,7 @@
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
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* @license React
* scheduler.production.js
*
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* @license React
* react-dom.production.js
*
@@ -30,7 +30,7 @@
*
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*
* This source code is licensed under the ISC license.
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*
* This source code is licensed under the ISC license.
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* This source code is licensed under the ISC license.
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* This source code is licensed under the ISC license.
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* This source code is licensed under the ISC license.
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* use-sync-external-store-shim.production.js
*
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*
* This source code is licensed under the MIT license found in the
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*
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+2 -2
View File
@@ -6,8 +6,8 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="color-scheme" content="dark" />
<title>Strix Results</title>
<script type="module" crossorigin src="./assets/index-Bpn8GiSb.js"></script>
<link rel="stylesheet" crossorigin href="./assets/index-qwPOPAGC.css">
<script type="module" crossorigin src="./assets/index-DbPDzbcJ.js"></script>
<link rel="stylesheet" crossorigin href="./assets/index-CrLE9rrV.css">
</head>
<body>
<div id="root"></div>
File diff suppressed because it is too large. Load diff
+18 -40
View File
@@ -1,20 +1,22 @@
"""Background pre-import of the heavy scan dependencies.
The scan engine's import graph (the agents SDK, OpenAI client, LiteLLM, the
Caido SDK, the Docker SDK) costs seconds to import cold, but none of it is
needed until a scan actually starts. Importing it on a daemon thread at CLI
entry overlaps that cost with the I/O-bound startup work that always precedes
a scan (argument parsing, Docker checks, image pull, TUI setup), so by the
time the scan begins the modules are already in ``sys.modules``. Any thread
that needs one of them before the warm-up finishes just blocks on the normal
import lock, so behaviour is unchanged either way.
Caido SDK) costs seconds to import cold, but none of it is needed until a scan
actually starts. Importing it on a daemon thread at CLI entry overlaps that
cost with the I/O-bound startup work that always precedes a scan (argument
parsing, Docker checks, image pull, TUI setup). The Docker SDK is not on the
list: the Docker checks import it on the main thread during that same window.
The main thread must call :func:`wait_for_import_warmup` before its first
import from that graph. Two threads that enter the same package graph from
different modules hold each other's import locks, and CPython breaks the cycle
by failing one of the imports.
"""
from __future__ import annotations
import importlib
import logging
import sys
import threading
@@ -24,45 +26,17 @@ WARMUP_MODULES = (
"strix.core.runner",
"litellm",
"caido_sdk_client",
"docker",
)
_lock = threading.Lock()
_thread: threading.Thread | None = None
def _purge_orphaned_modules(before: frozenset[str]) -> None:
"""Remove submodules stranded by an import attempt that just failed.
When a package import fails partway (for example CPython's import-lock
deadlock avoidance breaking a cross-thread cycle), the failed package is
removed from ``sys.modules`` but submodules it already finished stay
behind. A later import of one of those submodules then short-circuits on
the cached entry without re-importing its parent, and re-entering the
parent from inside a submodule crashes with "partially initialized
module". Dropping the orphans (cached submodules whose ancestor package is
gone) restores a clean slate, and touches nothing another thread imported
successfully.
"""
added = set(sys.modules) - before
for name in added:
parent = name.rpartition(".")[0]
while parent:
if parent not in sys.modules:
sys.modules.pop(name, None)
logger.debug("Import warm-up purged orphaned module %r", name)
break
parent = parent.rpartition(".")[0]
def _warm(modules: tuple[str, ...]) -> None:
for name in modules:
before = frozenset(sys.modules)
try:
importlib.import_module(name)
except Exception: # noqa: BLE001 - a failed warm-up must never fail the run.
logger.debug("Import warm-up for %r failed", name, exc_info=True)
_purge_orphaned_modules(before)
def start_import_warmup(modules: tuple[str, ...] = WARMUP_MODULES) -> threading.Thread:
@@ -72,11 +46,15 @@ def start_import_warmup(modules: tuple[str, ...] = WARMUP_MODULES) -> threading.
runtime that has no local Docker) warm a narrower set.
"""
global _thread # noqa: PLW0603
with _lock:
if _thread is not None:
return _thread
if _thread is None:
_thread = threading.Thread(
target=_warm, args=(modules,), name="strix-import-warmup", daemon=True
)
_thread.start()
return _thread
return _thread
def wait_for_import_warmup() -> None:
"""Block until the warm-up thread has finished, if one was started."""
if _thread is not None:
_thread.join()
+182 -49
View File
@@ -36,6 +36,23 @@ _global_report_state: Optional["ReportState"] = None
_CONTROL_CHARS = re.compile(r"[\x00-\x1f\x7f]+")
class ReportRollbackError(RuntimeError):
"""Raised when a failed deletion could not rewrite the on-disk indexes.
The report is still on file in memory; the indexes are rewritten from
memory on the next save.
"""
def __init__(self, report_id: str, *, cause: BaseException) -> None:
self.report_id = report_id
self.cause = cause
super().__init__(
f"Deletion of report '{report_id}' failed ({cause}) and the on-disk indexes "
"could not be restored; the report is still on file and the indexes are "
"rewritten on the next save"
)
def _strix_version() -> str | None:
"""Best-effort package version for the SARIF tool.driver.version field."""
try:
@@ -73,6 +90,7 @@ UPDATABLE_REPORT_FIELDS = frozenset(
"cve",
"cwe",
"code_locations",
"http_exchange_ids",
"fix_verification",
"fix_pr_body",
}
@@ -167,7 +185,7 @@ def get_global_report_state() -> Optional["ReportState"]:
return _global_report_state
def set_global_report_state(report_state: "ReportState") -> None:
def set_global_report_state(report_state: Optional["ReportState"]) -> None:
global _global_report_state # noqa: PLW0603
_global_report_state = report_state
# New run: drop any streamed-cost entries a prior run left unconsumed.
@@ -220,6 +238,7 @@ class ReportState:
self.caido_url: str | None = None
self.vulnerability_found_callback: Callable[[dict[str, Any]], None] | None = None
self.vulnerability_updated_callback: Callable[[dict[str, Any]], None] | None = None
self.vulnerability_deleted_callback: Callable[[dict[str, Any]], None] | None = None
self._sarif_repo_ctx: dict[str, Any] | None = None
self._sarif_repo_ctx_ready: bool = False
@@ -333,6 +352,7 @@ class ReportState:
cve: str | None = None,
cwe: str | None = None,
code_locations: list[dict[str, Any]] | None = None,
http_exchange_ids: list[str] | None = None,
fix_verification: str | None = None,
fix_pr_body: str | None = None,
finding_class: str | None = None,
@@ -340,7 +360,7 @@ class ReportState:
agent_id: str | None = None,
agent_name: str | None = None,
) -> str:
report_id = f"vuln-{len(self.vulnerability_reports) + 1:04d}"
report_id = self._next_report_id()
report: dict[str, Any] = {
"id": report_id,
@@ -391,6 +411,8 @@ class ReportState:
report["cwe"] = cwe.strip()
if code_locations:
report["code_locations"] = code_locations
if http_exchange_ids:
report["http_exchange_ids"] = http_exchange_ids
if fix_verification:
report["fix_verification"] = fix_verification.strip()
if fix_pr_body:
@@ -403,17 +425,35 @@ class ReportState:
if agent_name:
report["agent_name"] = agent_name
if self.vulnerability_found_callback:
self.vulnerability_found_callback(report)
self.vulnerability_reports.append(report)
logger.info(f"Added vulnerability report: {report_id} - {title}")
posthog.finding(severity, cwe=cwe, is_cve=bool(cve))
scarf.finding(severity, cwe=cwe, is_cve=bool(cve))
if self.vulnerability_found_callback:
self.vulnerability_found_callback(report)
self.save_run_data()
return report_id
def _deleted_vulnerability_reports(self) -> list[dict[str, Any]]:
raw = self.run_record.get("deleted_vulnerability_reports")
return [e for e in raw if isinstance(e, dict)] if isinstance(raw, list) else []
def _next_report_id(self) -> str:
"""Allocate the id after every id this run has ever handed out.
A deleted report leaves the list, so counting entries would hand its id
to the next finding and let that finding overwrite the deleted MD on disk
and inherit its history in every consumer that keys on the id.
"""
used = 0
for entry in [*self.vulnerability_reports, *self._deleted_vulnerability_reports()]:
match = re.fullmatch(r"vuln-(\d+)", str(entry.get("id", "")))
if match:
used = max(used, int(match.group(1)))
return f"vuln-{used + 1:04d}"
def update_vulnerability_report(
self,
report_id: str,
@@ -486,11 +526,18 @@ class ReportState:
)
history.append(entry)
report.update(changed)
revised = {**report, **changed}
for dependent in superseded:
report.pop(dependent, None)
report["update_history"] = history
report["updated_at"] = entry["timestamp"]
revised.pop(dependent, None)
revised["update_history"] = history
revised["updated_at"] = entry["timestamp"]
# Persistence must accept the revision before local state changes. A
# failed callback leaves the old evidence intact and the update retryable.
if self.vulnerability_updated_callback:
self.vulnerability_updated_callback(revised)
report.clear()
report.update(revised)
# The markdown on disk still shows the superseded evidence, so let the
# writer re-render it.
@@ -502,12 +549,91 @@ class ReportState:
", ".join(entry["fields"]) or "no field replaced",
)
if self.vulnerability_updated_callback:
self.vulnerability_updated_callback(report)
self.save_run_data()
return report
def delete_vulnerability_report(
self,
report_id: str,
*,
delete_reason: str,
deleted_by_agent_id: str | None = None,
deleted_by_agent_name: str | None = None,
) -> dict[str, Any] | None:
"""Withdraw a report from the run, keeping a record of the withdrawal.
Returns the removed report, or ``None`` when the id is unknown. Every
agent in a run shares one trust boundary, so any of them may withdraw
any report (just as any of them may revise one); the run record keeps
who filed it, who withdrew it and why. The report leaves
``vulnerability_reports`` and its rendered artifacts, and its id is
never reissued.
The rewritten artifacts and the ``vulnerability_deleted_callback`` must
both accept the deletion first: if either fails the report is put back
and the error propagates, so the deletion can be retried
(:class:`ReportRollbackError` when the indexes could not be put back).
"""
report = next((r for r in self.vulnerability_reports if r.get("id") == report_id), None)
if report is None:
logger.warning("cannot delete unknown vulnerability report %s", report_id)
return None
entry: dict[str, Any] = {
"id": report_id,
"title": report.get("title"),
"severity": report.get("severity"),
"filed_at": report.get("timestamp"),
"deleted_at": datetime.now(UTC).strftime("%Y-%m-%d %H:%M:%S UTC"),
"reason": delete_reason.strip()[:500],
}
if report.get("agent_id"):
entry["filed_by_agent_id"] = report["agent_id"]
if deleted_by_agent_id:
entry["agent_id"] = deleted_by_agent_id
if deleted_by_agent_name:
entry["agent_name"] = deleted_by_agent_name
position = self.vulnerability_reports.index(report)
was_saved = report_id in self._saved_vuln_ids
history = self._deleted_vulnerability_reports()
self.vulnerability_reports.remove(report)
self._saved_vuln_ids.discard(report_id)
self.run_record["deleted_vulnerability_reports"] = [*history, entry]
try:
# Local artifacts first: they can be put back if persistence then
# refuses, whereas a row deleted elsewhere cannot.
self._sync_llm_usage_record()
self._write_artifacts()
if self.vulnerability_deleted_callback:
self.vulnerability_deleted_callback({**report, "deletion": entry})
except Exception as exc:
self.vulnerability_reports.insert(position, report)
if was_saved:
self._saved_vuln_ids.add(report_id)
if history:
self.run_record["deleted_vulnerability_reports"] = history
else:
self.run_record.pop("deleted_vulnerability_reports", None)
try:
self._write_artifacts()
except Exception as rollback_exc:
logger.exception(
"could not restore artifacts after failed deletion of %s", report_id
)
raise ReportRollbackError(report_id, cause=exc) from rollback_exc
raise
md_path = self.get_run_dir() / "vulnerabilities" / f"{report_id}.md"
try:
md_path.unlink(missing_ok=True)
except OSError:
logger.exception("could not remove %s", md_path)
logger.info("Deleted vulnerability report %s - %s", report_id, report.get("title"))
return report
def get_existing_vulnerabilities(self) -> list[dict[str, Any]]:
return list(self.vulnerability_reports)
@@ -691,47 +817,54 @@ class ReportState:
return None
def _save_artifacts(self) -> None:
"""Write scan artifacts under ``run_dir``."""
run_dir = self.get_run_dir()
"""Write scan artifacts under ``run_dir``; a write failure is logged."""
try:
run_dir.mkdir(parents=True, exist_ok=True)
coverage = self._coverage_document()
if coverage is not None:
try:
write_coverage(run_dir, coverage)
except OSError:
logger.exception("coverage.json write failed (non-fatal)")
if self.final_scan_result:
write_executive_report(run_dir, self.final_scan_result)
if self.vulnerability_reports:
write_vulnerabilities(run_dir, self.vulnerability_reports, self._saved_vuln_ids)
# SARIF 2.1.0 emitter for CI / ASPM integration. Always emit (even
# empty) so a clean run overwrites a prior findings.sarif rather than
# leaving a stale one — codeql-action's "absent from new submission →
# fixed" needs the fresh empty doc to auto-resolve alerts. Isolated
# in its own try: a SARIF-build error must NEVER break the CSV/MD/
# run-record path (the emitter's own contract).
try:
write_sarif(
run_dir,
self.vulnerability_reports,
tool_version=_strix_version(),
repository_context=self._sarif_repository_context(),
coverage=coverage,
)
except Exception:
logger.exception("SARIF emit failed (non-fatal; CSV/MD unaffected)")
write_run_record(run_dir, self.run_record)
logger.info("Essential scan data saved to: %s", run_dir)
self._write_artifacts()
except (OSError, RuntimeError):
logger.exception("Failed to save scan data")
def _write_artifacts(self) -> None:
"""Write scan artifacts under ``run_dir``, raising when the index or
run record cannot be written."""
run_dir = self.get_run_dir()
run_dir.mkdir(parents=True, exist_ok=True)
coverage = self._coverage_document()
if coverage is not None:
try:
write_coverage(run_dir, coverage)
except OSError:
logger.exception("coverage.json write failed (non-fatal)")
if self.final_scan_result:
write_executive_report(run_dir, self.final_scan_result)
# An index is written for an empty list too once a report was
# deleted, or the CSV/JSON on disk would still list it.
if self.vulnerability_reports or self._deleted_vulnerability_reports():
write_vulnerabilities(run_dir, self.vulnerability_reports, self._saved_vuln_ids)
# SARIF 2.1.0 emitter for CI / ASPM integration. Always emit (even
# empty) so a clean run overwrites a prior findings.sarif rather than
# leaving a stale one — codeql-action's "absent from new submission →
# fixed" needs the fresh empty doc to auto-resolve alerts. Isolated
# in its own try: a SARIF-build error must NEVER break the CSV/MD/
# run-record path (the emitter's own contract).
try:
write_sarif(
run_dir,
self.vulnerability_reports,
tool_version=_strix_version(),
repository_context=self._sarif_repository_context(),
coverage=coverage,
)
except Exception:
logger.exception("SARIF emit failed (non-fatal; CSV/MD unaffected)")
write_run_record(run_dir, self.run_record)
logger.info("Essential scan data saved to: %s", run_dir)
def _sarif_repository_context(self) -> dict[str, Any] | None:
"""Repo/commit/branch context for SARIF provenance (repo scans only).
+132 -141
View File
@@ -3,15 +3,16 @@
from __future__ import annotations
import asyncio
import io
import logging
import os
import shutil
import sys
import tempfile
import tarfile
import time
from pathlib import Path
from typing import TYPE_CHECKING, Any
from agents.sandbox.entries import BaseEntry, File, LocalDir
from agents.sandbox.entries import BaseEntry, LocalDir
from agents.sandbox.manifest import Environment, Manifest
from strix.config import load_settings
@@ -21,6 +22,8 @@ from strix.runtime.caido_handle import CaidoBootstrapHandle
if TYPE_CHECKING:
from agents.sandbox.session import BaseSandboxSession
from strix.runtime.status import StatusSink
@@ -38,6 +41,13 @@ _WORKSPACE_ROOT = "/workspace"
_PROTECTED_METADATA_NAMES = (".git", ".agents", ".codex")
# Extra files travel as one tar archive: a single upload plus one extraction
# inside the sandbox, instead of several round trips per file.
_EXTRA_FILE_ARCHIVE_REL = ".strix-extra-files.tar"
_EXTRA_FILE_ARCHIVE = f"{_WORKSPACE_ROOT}/{_EXTRA_FILE_ARCHIVE_REL}"
_EXTRA_FILE_EXTRACT_TIMEOUT_S = 120
_EXTRA_FILE_MODE = 0o644
def _host_identity_env() -> dict[str, str]:
# Read the platform through a local so it is not narrowed to whichever OS is
@@ -60,8 +70,9 @@ def build_bind_mounts(local_sources: list[dict[str, Any]]) -> list[dict[str, Any
continue
resolved = Path(host_path).expanduser().resolve()
target = f"{_WORKSPACE_ROOT}/{ws_subdir}"
bind_mounts.append({"source": str(resolved), "target": target, "read_only": False})
if src.get("protect_metadata"):
read_only = bool(src.get("read_only"))
bind_mounts.append({"source": str(resolved), "target": target, "read_only": read_only})
if src.get("protect_metadata") and not read_only:
bind_mounts.extend(_metadata_mounts(resolved, target))
return bind_mounts
@@ -133,98 +144,82 @@ def _extra_file_content(extra_file: dict[str, Any]) -> bytes | None:
return None
def build_extra_file_entries(
def build_extra_file_archive(
extra_files: list[dict[str, Any]],
local_sources: list[dict[str, Any]] | None = None,
) -> dict[str | Path, BaseEntry]:
"""Map extra files to in-memory ``File`` manifest entries.
) -> bytes | None:
"""Pack extra files into one tar archive rooted at ``/workspace``.
Each item is ``{"workspace_path": "/workspace/<rel>", "content": bytes|str}``;
manifest backends materialize the entry at the requested path alongside the
``LocalDir`` source uploads. Invalid items — including paths that collide
with a ``local_sources`` tree or with an earlier extra file, which would
otherwise replace its manifest entry — are skipped with a warning.
Each item is ``{"workspace_path": "/workspace/<rel>", "content": bytes|str}``
and becomes a regular-file member at ``<rel>``. Extracting the archive as
the sandbox user (see ``stage_extra_files``) leaves every file owned by
that user, so the agent can edit it and create siblings. Invalid items —
including paths that collide with a ``local_sources`` tree or with an
earlier extra file — are skipped with a warning. Returns ``None`` when no
valid file remains.
"""
source_roots = _source_root_rels(local_sources)
placed: list[str] = []
entries: dict[str | Path, BaseEntry] = {}
for extra_file in extra_files:
rel = _extra_file_rel_path(str(extra_file.get("workspace_path") or ""))
content = _extra_file_content(extra_file)
if rel is None or content is None:
logger.warning(
"Skipping invalid extra file entry (workspace_path=%r)",
extra_file.get("workspace_path"),
)
continue
if _collides_with_source_root(rel, source_roots + placed):
logger.warning(
"Skipping extra file colliding with a local source tree or an "
"earlier extra file (workspace_path=%r)",
extra_file.get("workspace_path"),
)
continue
placed.append(rel)
entries[rel] = File(content=content)
return entries
placed: list[str] = [_EXTRA_FILE_ARCHIVE_REL]
buffer = io.BytesIO()
mtime = int(time.time())
with tarfile.open(fileobj=buffer, mode="w", format=tarfile.PAX_FORMAT) as archive:
for extra_file in extra_files:
rel, content = _validated_extra_file(extra_file, source_roots + placed)
if rel is None or content is None:
continue
placed.append(rel)
info = tarfile.TarInfo(name=rel)
info.size = len(content)
info.mode = _EXTRA_FILE_MODE
info.mtime = mtime
archive.addfile(info, io.BytesIO(content))
if len(placed) == 1:
return None
return buffer.getvalue()
def extra_file_staging_dir(scan_id: str) -> Path:
"""A fresh host staging directory for a scan's extra-file bind mounts.
def _validated_extra_file(
extra_file: dict[str, Any], taken: list[str]
) -> tuple[str | None, bytes | None]:
rel = _extra_file_rel_path(str(extra_file.get("workspace_path") or ""))
content = _extra_file_content(extra_file)
if rel is None or content is None:
logger.warning(
"Skipping invalid extra file entry (workspace_path=%r)",
extra_file.get("workspace_path"),
)
return None, None
if _collides_with_source_root(rel, taken):
logger.warning(
"Skipping extra file colliding with a local source tree or an "
"earlier extra file (workspace_path=%r)",
extra_file.get("workspace_path"),
)
return None, None
return rel, content
The docker daemon resolves bind sources in its own filesystem. With a
remote daemon (e.g. a dind sidecar) the run directory is not shared, so
staging lives under the temp dir like every other bind-mount source.
"""
safe = "".join(c if c.isalnum() or c in "-_." else "-" for c in scan_id)
return Path(tempfile.mkdtemp(prefix=f"strix-extra-files-{safe}-"))
def build_extra_file_bind_mounts(
extra_files: list[dict[str, Any]],
staging_dir: Path,
local_sources: list[dict[str, Any]] | None = None,
) -> list[dict[str, Any]]:
"""Stage extra files on the host and map them to read-only bind mounts.
async def stage_extra_files(session: BaseSandboxSession, archive: bytes) -> None:
"""Upload ``archive`` and unpack it under ``/workspace`` as the sandbox user.
Bind-mount backends bypass the manifest, so the content is written under
``staging_dir`` (one numbered subdirectory per file to avoid basename
collisions) and mounted read-only at the same ``/workspace/<rel>`` path the
manifest path would use. Invalid items — including paths that collide with
a ``local_sources`` tree or with an earlier extra file, which would
duplicate or shadow its mount target — are skipped with a warning.
``--no-same-owner`` keeps ownership with the extracting user even where
the session runs as root, so the agent user can always write the files.
"""
source_roots = _source_root_rels(local_sources)
placed: list[str] = []
mounts: list[dict[str, Any]] = []
for index, extra_file in enumerate(extra_files):
rel = _extra_file_rel_path(str(extra_file.get("workspace_path") or ""))
content = _extra_file_content(extra_file)
if rel is None or content is None:
logger.warning(
"Skipping invalid extra file entry (workspace_path=%r)",
extra_file.get("workspace_path"),
)
continue
if _collides_with_source_root(rel, source_roots + placed):
logger.warning(
"Skipping extra file colliding with a local source tree or an "
"earlier extra file (workspace_path=%r)",
extra_file.get("workspace_path"),
)
continue
placed.append(rel)
host_file = staging_dir / str(index) / Path(rel).name
host_file.parent.mkdir(parents=True, exist_ok=True)
host_file.write_bytes(content)
mounts.append(
{
"source": str(host_file),
"target": f"{_WORKSPACE_ROOT}/{rel}",
"read_only": True,
}
await session.write(Path(_EXTRA_FILE_ARCHIVE), io.BytesIO(archive))
result = await session.exec(
"sh",
"-c",
'tar --no-same-owner -xf "$1" -C "$2" && rm -f -- "$1"',
"sh",
_EXTRA_FILE_ARCHIVE,
_WORKSPACE_ROOT,
timeout=_EXTRA_FILE_EXTRACT_TIMEOUT_S,
)
if not result.ok():
stderr = result.stderr.decode("utf-8", errors="replace").strip()
raise RuntimeError(
f"unpacking extra files in the sandbox failed (exit {result.exit_code}): {stderr}"
)
return mounts
def _metadata_mounts(tree: Path, target: str) -> list[dict[str, Any]]:
@@ -274,10 +269,9 @@ async def create_or_reuse(
``/workspace/<workspace_subdir>`` inside the container.
Each ``extra_files`` entry (``{"workspace_path": "/workspace/<rel>",
"content": bytes | str}``) lands as a single file at its ``workspace_path``
regardless of backend: an in-memory ``File`` manifest entry on manifest
backends, a read-only bind mount of a host-staged copy on bind-mount
backends.
"content": bytes | str}``) lands as a regular, agent-writable file at its
``workspace_path`` on every backend: the files are uploaded as one archive
and unpacked inside the sandbox right after bring-up.
"""
def report(phase: str) -> None:
@@ -292,20 +286,15 @@ async def create_or_reuse(
backend_name = load_settings().runtime.backend
backend = get_backend(backend_name)
staging_dir: Path | None = None
if backend_supports_bind_mounts(backend_name):
bind_mounts = build_bind_mounts(local_sources)
entries: dict[str | Path, BaseEntry] = {}
if extra_files:
staging_dir = extra_file_staging_dir(scan_id)
bind_mounts.extend(
build_extra_file_bind_mounts(extra_files, staging_dir, local_sources)
)
else:
bind_mounts = []
entries = build_manifest_entries(local_sources)
if extra_files:
entries.update(build_extra_file_entries(extra_files, local_sources))
extra_file_archive = (
build_extra_file_archive(extra_files, local_sources) if extra_files else None
)
# Caido runs as an in-container sidecar; HTTP(S) traffic from any
# process started via ``session.exec`` (the SDK's Shell tool, etc.)
@@ -335,54 +324,58 @@ async def create_or_reuse(
image,
)
report("Starting sandbox container")
try:
client, session = await backend(
image=image,
manifest=manifest,
exposed_ports=(_CONTAINER_CAIDO_PORT,),
bind_mounts=bind_mounts,
client, session = await backend(
image=image,
manifest=manifest,
exposed_ports=(_CONTAINER_CAIDO_PORT,),
bind_mounts=bind_mounts,
)
if extra_file_archive is not None:
report("Placing workspace files")
try:
await stage_extra_files(session, extra_file_archive)
except BaseException:
await _discard_session(client, session)
raise
report("Setting up the proxy")
caido_endpoint = await session.resolve_exposed_port(_CONTAINER_CAIDO_PORT)
scheme = "https" if caido_endpoint.tls else "http"
host_caido_url = f"{scheme}://{caido_endpoint.host}:{caido_endpoint.port}"
logger.debug("Caido host endpoint resolved: %s", host_caido_url)
# The Caido login + project setup polls the guest for a couple of seconds
# and nothing needs the client before the first proxy tool call, so it
# runs concurrently with the rest of scan start; consumers resolve the
# handle at first use (see CaidoBootstrapHandle).
caido_client = CaidoBootstrapHandle(
asyncio.create_task(
bootstrap_caido(
session,
host_url=host_caido_url,
container_url=container_caido_url,
),
name=f"caido-bootstrap-{scan_id}",
)
)
report("Setting up the proxy")
caido_endpoint = await session.resolve_exposed_port(_CONTAINER_CAIDO_PORT)
scheme = "https" if caido_endpoint.tls else "http"
host_caido_url = f"{scheme}://{caido_endpoint.host}:{caido_endpoint.port}"
logger.debug("Caido host endpoint resolved: %s", host_caido_url)
# The Caido login + project setup polls the guest for a couple of seconds
# and nothing needs the client before the first proxy tool call, so it
# runs concurrently with the rest of scan start; consumers resolve the
# handle at first use (see CaidoBootstrapHandle).
caido_client = CaidoBootstrapHandle(
asyncio.create_task(
bootstrap_caido(
session,
host_url=host_caido_url,
container_url=container_caido_url,
),
name=f"caido-bootstrap-{scan_id}",
)
)
bundle = {
"client": client,
"session": session,
"caido_client": caido_client,
"extra_file_staging_dir": staging_dir,
}
_SESSION_CACHE[scan_id] = bundle
except BaseException:
# Until the bundle is cached, cleanup(scan_id) cannot find the
# staging dir, so it is removed here.
_remove_staging_dir(staging_dir)
raise
bundle = {
"client": client,
"session": session,
"caido_client": caido_client,
}
_SESSION_CACHE[scan_id] = bundle
logger.info("Sandbox session for scan %s ready and cached", scan_id)
return bundle
def _remove_staging_dir(staging_dir: Path | None) -> None:
if staging_dir is not None:
shutil.rmtree(staging_dir, ignore_errors=True)
async def _discard_session(client: Any, session: Any) -> None:
"""Best-effort teardown of a session that never made it into the cache."""
try:
await client.delete(session)
except Exception: # noqa: BLE001
logger.warning("Discarding a half-started sandbox session failed", exc_info=True)
async def cleanup(scan_id: str) -> None:
@@ -398,8 +391,6 @@ async def cleanup(scan_id: str) -> None:
logger.debug("cleanup(%s): no cached session", scan_id)
return
_remove_staging_dir(bundle.get("extra_file_staging_dir"))
caido_client = bundle.get("caido_client")
if caido_client is not None:
try:
+7 -6
View File
@@ -1,6 +1,5 @@
import logging
import re
import threading
from collections import Counter
from collections.abc import Iterator
from pathlib import Path
@@ -8,7 +7,6 @@ from typing import TypeGuard
import yaml
from strix.telemetry import posthog, scarf
from strix.utils.resource_paths import get_strix_resource_path
@@ -241,16 +239,19 @@ def validate_requested_skills(skill_list: list[str], max_skills: int = 5) -> str
return None
_LOADED_SKILLS: set[str] = set()
def _track_skill_loaded(skill_name: str, file_path: Path) -> None:
builtin = get_strix_resource_path("skills")
if not file_path.is_relative_to(builtin):
skill_name = "custom"
_LOADED_SKILLS.add(skill_name)
def _send() -> None:
posthog.skill_loaded(skill_name)
scarf.skill_loaded(skill_name)
threading.Thread(target=_send, daemon=True).start()
def get_loaded_skill_names() -> list[str]:
"""Distinct skills loaded so far in this process (custom skills collapse to ``"custom"``)."""
return sorted(_LOADED_SKILLS)
def _candidate_skill_files(skill_name: str) -> list[Path]:
+2
View File
@@ -94,6 +94,8 @@ curl https://BUCKET.s3.amazonaws.com/
### IAM Privilege Escalation
**Resource control policies:** AWS Organizations RCPs impose an organization-level limit on supported resources, including access by external principals. Map resource-account RCPs as well as principal-account SCPs, identity/resource policies, session policies, and permission boundaries when assessing a cross-account or leaked-key path. RCPs do not grant access and do not apply uniformly to every service; an identity-policy allow alone does not describe the effective permission ([AWS RCP documentation](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_rcps.html)).
Common escalation paths (verify with `aws iam simulate-principal-policy` when possible):
| Permission | Escalation |
+4
View File
@@ -32,6 +32,10 @@ Kubernetes clusters expose a large attack surface through their API server, kube
## Key Vulnerabilities
### Ingress-NGINX Admission
Inventory validating-webhook reachability from the pod network and the controller's service-account permissions. IngressNightmare illustrates controller execution without a Kubernetes account ([advisory](https://kubernetes.io/blog/2025/03/24/ingress-nginx-cve-2025-1974/)). Identify the controller implementation/image, then verify affected builds, backports, and maintenance status against current project or vendor notices; distinguish community ingress-nginx from other NGINX controllers and the Ingress API ([project notice](https://kubernetes.io/blog/2026/01/29/ingress-nginx-statement/)).
### RBAC Misconfigurations
- Wildcard verbs or resources in ClusterRole/Role bindings: `verbs: ["*"]`, `resources: ["*"]`
+6 -1
View File
@@ -57,6 +57,11 @@ Map endpoints, authentication classes, and permission classes per route.
## Key Vulnerabilities
### Request and Spatial Input Handling
- Under ASGI, compare underscore/hyphen forms of proxy-injected identity headers through `ASGIRequest` normalization into `request.META`. Resolve the installed branch, vendor backports, and support status from package metadata and current Django release/advisory information ([header-collision advisory](https://www.djangoproject.com/weblog/2026/apr/07/security-releases/)).
- For GeoDjango, trace attacker-controlled spatial lookup strings/dictionaries into `GDALRaster`: driver behavior can turn them into server-side requests or file writes. Include custom filter APIs and admin changelist filtering; direct model-field assignment is a separate input path ([spatial lookup advisory](https://www.djangoproject.com/weblog/2026/aug/04/security-releases/)).
### Authentication & Authorization
**Permission Class Gaps**
@@ -207,7 +212,7 @@ Static analysis is the fastest way to reach the sinks above in white-box scope.
- **pip-audit** (PyPA) — dependency CVE scanner for known-vuln Django/DRF/simplejwt versions: `pipx install pip-audit && pip-audit -r requirements.txt`
- **ast-grep** (preinstalled) — quick structural grep for risky calls without a full SAST run: `ast-grep run -p 'mark_safe($X)' -l python`
For the `SECRET_KEY` → signed-cookie/reset-token forgery path noted under Session Issues, Django's own `django.core.signing` is the "tool": with a leaked key you can mint valid `signing.dumps()` values (session cookies, password-reset tokens, and `PickleSerializer`-backed session RCE).
For the `SECRET_KEY` → signed-cookie forgery path noted under Session Issues, Django's own `django.core.signing` is the "tool": with a leaked key you can mint valid `signing.dumps()` values using the consumer's serializer and signing salt. Inspect `SESSION_SERIALIZER` and the installed implementation: the session-RCE path requires a reachable pickle-backed serializer; JSON sessions do not provide it. Password-reset tokens instead use `PasswordResetTokenGenerator`, with user state and timestamp in the digest, rather than the generic `signing.dumps()` format ([Django 5.0 removals](https://docs.djangoproject.com/en/5.0/releases/5.0/#features-removed-in-5-0), [token implementation](https://github.com/django/django/blob/stable/5.2.x/django/contrib/auth/tokens.py)).
## Summary
+6
View File
@@ -58,6 +58,12 @@ For each route, identify:
## Key Vulnerabilities
### Starlette Request Handling
Resolve Starlette's version independently of FastAPI and identify the ASGI server/front proxy. Check current upstream advisories and any vendor backports for the installed build before treating a parser issue as applicable. Compare middleware authorization against the actual routed path: malformed Host values can alter reconstructed `request.url` without changing routing ([URL parsing advisory](https://github.com/Kludex/starlette/security/advisories/GHSA-86qp-5c8j-p5mr)).
For `request.form()`, test URL-encoded and multipart limits separately; a limit enforced on one parser may not constrain the other. Check whether crossing an upload's memory-to-disk spool threshold blocks the event loop ([form limits](https://github.com/Kludex/starlette/security/advisories/GHSA-82w8-qh3p-5jfq), [file spooling](https://github.com/Kludex/starlette/security/advisories/GHSA-2c2j-9gv5-cj73)).
### Authentication & Authorization
**Dependency Injection Gaps**
+7
View File
@@ -78,6 +78,13 @@ For each controller and method, identify:
## Key Vulnerabilities
### Adapter and Schema Version Boundaries
- **Express adapter:** resolve the installed Nest/Express versions and effective query-parser setting from configuration or a harmless nested-query probe. Apply `qs`/nested-operator attacks only when the parser constructs nested objects. Check the matching router documentation and test both root and child paths against authentication middleware ([migration reference](https://nestjs.io/tutorials/what-s-new-in-express-5-eeb51579)).
- **Fastify adapter:** inspect the installed version's schema requirements and any custom validator configuration. Verify whether the route schema is actually enforced before relying on a DTO or shorthand-schema declaration ([migration reference](https://fastify.dev/docs/v5.0.x/Guides/Migration-Guide-V5/)).
- **Standard Schema, where supported:** `@Body({ schema })`, `@Query({ schema })`, `@Param(..., { schema })`, and `@RawBody({ schema })` attach metadata; enforcement requires `StandardSchemaValidationPipe`. Probe schema-decorated routes for accepted invalid values when the pipe is absent or transport-local. Outgoing schema enforcement uses `StandardSchemaSerializerInterceptor`; check actual output rather than relying only on class-transformer decorators.
- **GraphQL transport:** inspect installed packages, enabled IDE, and negotiated WebSocket subprotocol. Verify supported/deprecated transports against the matching Nest documentation, then recheck connection and per-operation authentication on the deployed transport ([migration guide](https://docs.nestjs.com/migration-guide)).
### Guard Bypass
**Decorator Stack Gaps**
+10 -3
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@@ -12,7 +12,7 @@ Security testing for Next.js applications. Focus on authorization drift across r
**Routers**
- App Router (`app/`) and Pages Router (`pages/`) often coexist
- Route Handlers (`app/api/**`) and API routes (`pages/api/**`)
- Middleware: `middleware.ts` at project root
- Middleware/proxy: inspect `middleware.ts`, `proxy.ts`, installed Next.js metadata, and runtime configuration. Check the matching framework docs for supported filenames, Node/Edge behavior, and feature status before selecting runtime-specific probes ([migration guide](https://nextjs.org/docs/app/guides/upgrading/version-16)).
**Runtimes**
- Node.js (full API access)
@@ -43,6 +43,8 @@ Security testing for Next.js applications. Focus on authorization drift across r
## Reconnaissance
At each assessment, establish the deployed build from package metadata, lockfiles, or runtime evidence. Verify release/support status and applicable fixes through current official docs, advisories, or upstream source; linked advisories are starting points, not a complete or permanently current list. Recheck when the target build or proposed remediation changes, and mark status unverified if evidence is unavailable.
**Route Discovery**
```javascript
@@ -83,10 +85,15 @@ Inspect Network tab for POST requests with `Next-Action` header. Extract action
## Key Vulnerabilities
### RSC and Image Processing
- **React2Shell (CVE-2025-55182):** App Router applications can expose the vulnerable RSC decoder without explicit Server Actions. Identify the bundled `react-server-dom-*` implementation and trace requests into decoding; client-only React and Pages-only apps have different exposure. Check the framework's patched branch, including source-disclosure and DoS fixes ([RCE advisory](https://react.dev/blog/2025/12/03/critical-security-vulnerability-in-react-server-components), [RSC advisories](https://react.dev/blog/2025/12/11/denial-of-service-and-source-code-exposure-in-react-server-components)).
- Treat `/_next/image` optimization and Node `next/og` `ImageResponse` as separate input paths. Trace attacker-controlled image bytes into native decoders, and SVG content/attributes/styles into image construction. URL allowlisting does not make image contents trusted; match the decoder, runtime, and Next.js version to the relevant advisory ([optimizer](https://nextjs.org/blog/august-2026-security-release), [ImageResponse](https://github.com/vercel/next.js/security/advisories/GHSA-vcvr-r3jv-pc5j)).
### Middleware Bypass
**Known Techniques**
- `x-middleware-subrequest` header crafting (CVE-class bypass)
- `x-middleware-subrequest` header crafting (CVE-2025-29927): middleware-only authorization can be skipped on affected deployments. Resolve the installed branch and hosting protections from the advisory and provider configuration, then check whether external headers reach the origin and the destination enforces authorization independently ([advisory](https://github.com/vercel/next.js/security/advisories/GHSA-f82v-jwr5-mffw)).
- `x-nextjs-data` probing
- Look for 307 + `x-middleware-rewrite`/`x-nextjs-redirect` headers
@@ -118,7 +125,7 @@ Middleware checks first value, handler uses last or array.
**Cache Boundary Failures**
- User-bound data cached without identity keys (ETag/Set-Cookie unaware)
- Personalized content served from shared cache/CDN
- Missing `no-store` on sensitive fetches
- Missing `no-store` on sensitive fetches matters only when they enter a shared cache. Determine `fetch` and GET Route Handler defaults for the deployed version from docs/configuration and observed responses. Where Cache Components are enabled, inspect `use cache` arguments/closed-over values, `cacheTag`, `cacheLife`, and invalidation for user/tenant separation ([caching documentation](https://nextjs.org/docs/app/getting-started/cache-components)).
**Flight Data Leakage**
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@@ -134,6 +134,10 @@ Parser precedence varies; may bypass validation. Also test default argument valu
Send unexpected keys in input objects; backends may pass them to resolvers or downstream logic.
### OneOf Inputs
Discover `@oneOf` input types through the schema or `__Type.isOneOf`. They require exactly one non-null field, with every other field omitted. Test both inline literals and variables with zero fields, two selectors, and an extra null-valued selector; all must fail coercion. Then test authorization independently for each valid selector (ID, username, organization/email), since schema exclusivity does not ensure identical tenant checks in each resolver branch. Confirm the deployed implementation supports OneOf before treating acceptance as a specification violation ([GraphQL September 2025](https://spec.graphql.org/September2025/#sec-OneOf-Input-Objects)).
### Cursor Manipulation
Decode cursors (usually base64) to:
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@@ -77,7 +77,7 @@ com.app://callback (mobile custom scheme)
### State and Nonce
- Missing, predictable, or reusable `state` → CSRF on OAuth login (session fixation, account linking)
- Missing, predictable, or reusable `state` → test CSRF on OAuth login (session fixation, account linking); RFC 9700 also permits correctly bound PKCE, or OIDC `nonce`, to provide CSRF protection, so establish whether that protection survives a cross-session callback
- Missing `nonce` in OIDC → ID token injection/replay
- `state` not bound to client session or PKCE verifier
@@ -102,7 +102,7 @@ com.app://callback (mobile custom scheme)
### Scope and Token Issues
- Scope escalation: request `admin`/`offline_access`/`openid profile email` beyond app need; server grants all requested scopes
- Refresh token not rotated or reuse not detected → persistent access
- Public-client refresh tokens neither sender-constrained nor rotated with reuse detection → persistent access; a non-rotating token bound to the client's key is permitted by RFC 9700, so test replay without that key
- Access token accepted across services (missing audience/resource binding)
- Token introspection returns `active:true` without proper auth on introspection endpoint
@@ -113,6 +113,10 @@ com.app://callback (mobile custom scheme)
- Userinfo endpoint returns PII without matching access token scope
- `sub` collision across issuers if `iss` not validated
### OAuth Security BCP (RFC 9700)
Authorization servers must support PKCE, public clients must use it, and confidential clients are also recommended to use it. Test challenge stripping and verifier injection across both client types. Resource-owner-password grants must not be used; implicit access-token responses are discouraged because tokens can leak or be replayed. For mix-up defenses, bind the selected issuer and endpoints to the authorization transaction; validate an authorization-response `iss` when that defense is used, rather than merely checking the issuer of a later ID token ([RFC 9700](https://www.rfc-editor.org/rfc/rfc9700.html)).
## Advanced Techniques
**Referer Leakage**
@@ -100,6 +100,13 @@ certipy find -u <USER>@<DOMAIN> -p <PASS> -dc-ip <DC_IP> -vulnerable -stdout
- **ESC8** — NTLM relay to the CA web-enrollment endpoint (coerce a DC, relay to `/certsrv`) → DC certificate → DCSync.
- **ESC others** — ESC2/3 (any-purpose/enrollment-agent), ESC4 (writable template DACL → make it ESC1), ESC6 (`EDITF_ATTRIBUTESUBJECTALTNAME2` on the CA), ESC7 (CA officer rights), ESC9/10 (weak cert mapping), ESC11 (RPC relay), ESC13 (issuance-policy→group), ESC15 (app-policy on v1 templates). `certipy find -vulnerable` flags each.
**Strong certificate mapping:** establish the DC patch level, mapping policy, and vendor backports; consult Microsoft's current enforcement guidance before assuming Compatibility mode is available. Inspect template SID extensions, explicit mappings, and the principal selected at authentication. A requested privileged UPN alone does not establish a working ESC chain ([KB5014754](https://support.microsoft.com/en-us/servicing/os/windows-server/2022/05/kb5014754-certificate-based-authentication-changes-on-windows-domain-controllers)).
### Windows Server 2025 dMSA / BadSuccessor
- **CVE-2025-53779:** on unpatched Server 2025 DCs, control sufficient to create/modify a delegated Managed Service Account can establish a one-way migration link to another principal and obtain its authority/keys through the KDC. Enumerate dMSA creation rights, object ACLs, and migration attributes rather than limiting discovery to conventional service accounts and delegation flags.
- **Patched behavior:** the KDC requires mutual dMSA↔target linkage. Writing the dMSA-side attribute still succeeds, so LDAP write success is not proof of exploitation. Determine whether the tester also controls the target object's reciprocal link and whether the KDC actually issues the relevant ticket. Post-patch abuse is a different prerequisite chain from the original low-privilege OU-control escalation ([researchers' patch analysis](https://www.akamai.com/blog/security-research/badsuccessor-is-dead-analyzing-badsuccessor-patch)).
### NTLM Coercion & Relay
Force a privileged machine to authenticate to you, then relay that NTLM auth to a service that doesn't enforce signing/EPA (LDAP, AD CS, SMB).
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@@ -86,12 +86,14 @@ Authorization: Bearer <token_with_audience_A>
### Rules and Actions Abuse
Inventory which Rules, Hooks, and Actions actually execute in the tenant. Check the current Auth0 lifecycle notice and tenant capabilities for retirement or read-only restrictions. During migration, compare claim assignment, MFA, denial decisions, and account-linking checks across every connection; distinguish secret/configuration access from source-code modification ([lifecycle notice](https://auth0.com/docs/troubleshoot/product-lifecycle/deprecations-and-migrations#rules-and-hooks-deprecations)).
**Post-Login Rule/Action Injection**
- Rules that add claims based on unvalidated user metadata:
```javascript
user.app_metadata.role = 'admin' // if user can set app_metadata via signup/API
```
- `context.authorization` manipulation in Actions
- Rules use `context`; Actions receive `event` and enforce token/MFA/denial changes through `api` methods. Test migrated checks that only mutate event data: those mutations do not propagate to other Actions or substitute for the corresponding enforcement API ([migration behavior](https://auth0.com/docs/customize/actions/migrate/migrate-from-rules-to-actions)).
- Secrets in Rule code exposed to tenant admins or via Management API leak
**Signup / Registration Actions**
@@ -79,6 +79,13 @@ Unauthenticated view (and, with `public_mode`, delete) of the lowest-key snapsho
### Prometheus / Alertmanager — exposure is the vuln (no auth by default)
Prometheus and Alertmanager ship with **no authentication**; the docs explicitly say do not expose them. There is rarely a CVE — reachability itself is the finding, and the payoff is recon + credential leakage + pivoting (below).
## Plugin and MCP Boundaries
Resolve installed Grafana, plugin, and MCP server builds separately; check current upstream advisories and vendor backports before applying a listed attack path or recommending a release.
- Plugin archives are extracted before signature verification. Test chained symlinks and containment before trusting a signature failure to prevent filesystem writes; archive installation is the required trigger ([extraction advisory](https://grafana.com/security/security-advisories/cve-2026-15815/)).
- Inventory mcp-grafana separately from Grafana. Trace `grafana_api_request` and `X-Grafana-URL` into destination selection; preventing token forwarding alone does not prevent SSRF ([MCP advisory](https://grafana.com/security/security-advisories/cve-2026-19516/)).
## Pivoting: Observability → Deeper Compromise
This is the core value. Chain each exposure into something that matters. Always articulate the pivot in the finding, not just the exposed endpoint.
@@ -78,11 +78,11 @@ Record both forward and reverse reachability: attacker-controlled input to privi
## Optional Tool Routing
Use tools only when they match the deployed surface. Treat generated cases and scanner labels as leads until the application-side boundary is validated.
Use tools only when they match the deployed surface. Resolve compatible versions, runtime requirements, maintenance status, and advisories from registry metadata and current upstream documentation, then pin the exact reviewed versions for the run. Treat generated cases and scanner labels as leads until the application-side boundary is validated.
- **[Promptfoo](https://github.com/promptfoo/promptfoo)** — use for repeatable model/application trials, custom adversarial cases, graders, provider comparisons, and success-rate regression. Install the reviewed version locally with `npm install --save-dev --save-exact promptfoo@0.122.0`, then invoke `./node_modules/.bin/promptfoo redteam run`. Define explicit plugins, assertions, `numTests`, `maxConcurrency`, and `delay`; provider calls may transmit test data and incur cost. Its `owasp:llm` preset still uses the 2025 category mapping in version 0.122.0, so build or select tests from the 2026 matrix above and do not present the preset report as complete 2026 coverage.
- **[MCP Inspector](https://github.com/modelcontextprotocol/inspector)** — use for LLM01/LLM03 surface mapping when MCP servers are present. Install the reviewed version with `npm install --save-dev --save-exact @modelcontextprotocol/inspector@2.2.0`, then use `./node_modules/.bin/mcp-inspector --cli --config <reviewed-config> --server <name> --method tools/list` and the equivalent `resources/list` / `prompts/list` operations. Starting a stdio server executes that configured process, initialization/list handlers may have side effects, and `tools/call` can perform the real action; inspect the target and credentials before invoking it.
- **[ModelScan](https://github.com/protectai/modelscan)** — use for LLM04 static triage of supported H5, Pickle, and SavedModel artifacts before loading them, for example `uvx modelscan==0.8.8 -p <artifact>`. Run it as an untrusted-file parser in an isolated analysis environment. A clean result covers only the scanner's supported formats and signatures; it does not establish artifact provenance, integrity, or absence of behavioral backdoors.
- **[Promptfoo](https://github.com/promptfoo/promptfoo)** — use for repeatable model/application trials, custom adversarial cases, graders, provider comparisons, and success-rate regression. Install the reviewed version locally with `npm install --save-dev --save-exact promptfoo@<reviewed-version>`, then invoke `./node_modules/.bin/promptfoo redteam run`. Define explicit plugins, assertions, `numTests`, `maxConcurrency`, and `delay`; provider calls may transmit test data and incur cost. Inspect the installed `owasp:llm` preset's category mapping and actual tests before claiming coverage; add cases for gaps against the assessment's chosen taxonomy.
- **[MCP Inspector](https://github.com/modelcontextprotocol/inspector)** — use for LLM01/LLM03 surface mapping when MCP servers are present. Install the reviewed version with `npm install --save-dev --save-exact @modelcontextprotocol/inspector@<reviewed-version>`, then use `./node_modules/.bin/mcp-inspector --cli --config <reviewed-config> --server <name> --method tools/list` and the equivalent `resources/list` / `prompts/list` operations. Starting a stdio server executes that configured process, initialization/list handlers may have side effects, and `tools/call` can perform the real action; inspect the target and credentials before invoking it.
- **[ModelScan](https://github.com/protectai/modelscan)** — use for LLM04 static triage of supported H5, Pickle, and SavedModel artifacts before loading them, for example `uvx modelscan==<reviewed-version> -p <artifact>`. Run it as an untrusted-file parser in an isolated analysis environment. A clean result covers only the scanner's supported formats and signatures; it does not establish artifact provenance, integrity, or absence of behavioral backdoors.
## LLM01:2026 Prompt Injection
+8 -1
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@@ -35,7 +35,7 @@ Security testing for Supabase applications. Focus on mis-scoped Row Level Securi
- Functions: `https://<ref>.functions.supabase.co/`
**Headers**
- `apikey: <anon-or-service>` — identifies project
- `apikey: <publishable-or-secret-key>` — identifies the application component; legacy `anon` / `service_role` JWT keys can still coexist
- `Authorization: Bearer <JWT>` — binds user context
**Roles**
@@ -45,6 +45,13 @@ Security testing for Supabase applications. Focus on mis-scoped Row Level Securi
**Key Principle**
`auth.uid()` returns current user UUID from JWT. Policies must never trust client-supplied IDs over server context.
### API Keys and Signing Keys
- Opaque keys start with `sb_publishable_` or `sb_secret_`; JWT decoding will not classify them. Search bundles, server configuration, and responses for both formats. Publishable keys are intended for public clients; secret keys use `service_role` and bypass RLS. A browser 401 for a leaked secret key is not revocation: the browser restriction uses `User-Agent` and does not stop server-side use.
- Creating new keys does not disable legacy keys. After migration, test whether the old `anon` / `service_role` credential remains accepted; dashboard revocation is a separate action. Verify supported key formats and migration/deprecation status from project settings and current Supabase documentation ([API keys](https://supabase.com/docs/guides/getting-started/api-keys)).
- Edge Functions use user JWTs in `Authorization` and API keys in `apikey`. Verify the deployed platform's `verify_jwt` behavior with current docs and controlled requests, including API keys on either header; passing a platform check with a publishable key does not establish a signed-in user. Test whether the handler verifies user identity before using a privileged client. Conversely, `verify_jwt=false` with explicit secret-key or webhook verification is not necessarily public. Trace the configured `@supabase/server` auth mode or custom verification ([function authorization](https://supabase.com/docs/guides/functions/auth-headers)).
- Asymmetric signing keys are discoverable at `/auth/v1/.well-known/jwks.json`. Test custom API/Edge Function validators for issuer/algorithm binding and stale cached keys after rotation/revocation. Measure cache lifetimes from response headers, SDK configuration, and controlled rotation tests; check service-specific revocation behavior in current documentation rather than assuming platform and custom validators share a cache ([signing keys](https://supabase.com/docs/guides/auth/signing-keys)).
## High-Value Targets
- Tables with sensitive data (users, orders, payments, PII)
@@ -106,10 +106,16 @@ Classify each discovered integration by data read, data write, external communic
- For each tool, validate the same authorization and argument checks through every supported transport.
- Treat server-launched subprocess configuration, environment variables, and working directories as sensitive executable configuration.
- For HTTP/SSE transports, validate OAuth issuer, signature, expiry, audience/resource, tenant, and scope claims at the server boundary. Reject tokens minted for the wrong audience, and do not treat a session ID as identity.
- For downstream APIs, do not pass through the same bearer token unless the target explicitly authorizes that audience and principal. Separate upstream MCP authentication from downstream target authorization.
- MCP forbids token passthrough: reject access tokens not issued for the MCP server, and use a separate downstream authorization flow instead of forwarding a client's token to another API ([MCP authorization](https://modelcontextprotocol.io/specification/2026-07-28/basic/authorization)).
- For browser or loopback OAuth, review redirect URI, state/PKCE handling, localhost binding, and consent proxying. Treat metadata fetches and tool discovery on remote servers as SSRF-relevant surfaces.
- For stdio servers, the launch command and environment are already code execution. Discovery must not execute an unreviewed server binary or mutable package tag.
#### MCP Protocol Boundaries
- Identify the protocol revision and client/server SDK builds from configuration and wire traffic, then consult the matching specification and current SDK advisories. Determine whether the transport uses initialization/session IDs or independent requests with client metadata and discovery. Test authorization on every request; client-supplied identity/capabilities in `_meta` are not authenticated identity.
- Where multi-round tool requests use `input_required` and `inputResponses`, trace the retry/resume binding. Test whether a response from another user, tool invocation, or approval round can be substituted, and whether a retry repeats a consequential action ([MCP protocol specification](https://blog.modelcontextprotocol.io/posts/2026-07-28/)).
- For OAuth callbacks, bind the expected issuer from validated discovery to the PKCE transaction. A present `iss` must match exactly, even if metadata did not advertise support; an absent `iss` must be rejected when `authorization_response_iss_parameter_supported` is true. Test issuer changes between discovery, registration, and callback, including error callbacks. Bind client credentials to their authorization-server issuer. Require the MCP server's `resource` in authorization and token requests and validate the token's audience at the server ([authorization requirements](https://modelcontextprotocol.io/specification/2026-07-28/basic/authorization)).
### Executable Component Supply Chain
Every skill, plugin, MCP server, model adapter, package, and update channel is an executable or behavior-shaping dependency. Record:
@@ -158,7 +164,7 @@ npx @modelcontextprotocol/inspector@<reviewed-version> --cli \
--method tools/list --format json
```
- Current upstream requirements should be checked before pinning; as of August 12, 2026, MCP Inspector 2.1.0 requires Node.js `>=22.19.0`.
- Before choosing MCP Inspector, inspect package-registry metadata, engine requirements, release notes, and advisories. Select a compatible reviewed version and pin that exact version for the run; do not infer safety from a release tag.
- Prefer CLI/TUI and loopback binding over exposing the web UI.
- Preserve the generated API token; never disable authentication or bind the process-spawning backend to an external interface.
- Do not publish ports 6274/6277 or pass through the Docker socket/host devices.
@@ -173,7 +179,7 @@ npx @modelcontextprotocol/inspector@<reviewed-version> --cli \
npx promptfoo@<reviewed-version> eval
```
- Current upstream engine constraints should be checked before pinning; as of August 12, 2026, Promptfoo documents Node.js `^20.20.0` or `>=22.22.0`.
- Resolve Promptfoo's runtime requirements, supported features, and security status from registry metadata and current upstream docs before choosing and pinning a version.
- Use synthetic prompts/data and a dedicated test provider/project.
- Provider calls transmit data externally and can incur cost even when evaluation orchestration is local. Set request/concurrency and spending ceilings.
- Pin model, provider, prompt, tool schema, retrieval corpus revision, and evaluator versions.
@@ -104,6 +104,12 @@ Prove the strongest reliable capability first. If escalation requires a user ges
- Treat scriptless disclosure of a nonce or trusted URL as a primitive; prove a second controllable sink before claiming bypass.
- For response splitting, consider whether a same-origin endpoint can be turned into a script resource with a controlled body length or framing.
### Local Network and Loopback Access
Identify the browser build, enabled flags, permission state, and enterprise policy; consult its current Local Network Access documentation and verify actual behavior with controlled requests. Test DNS rebinding and browser-to-local-service chains in both permission-denied and permission-granted states. A successful server-side request does not establish browser reachability ([Chrome LNA](https://developer.chrome.com/blog/local-network-access)).
Discover which permission names and aliases the target supports, including `local-network`, `loopback-network`, and `local-network-access`. Record which destination class was permitted before claiming access to both LAN and localhost services ([permission reference](https://developer.chrome.com/release-notes/145#local_network_access_split_permissions)).
### JavaScript Gadget Discovery
- When direct calls are blocked, inspect implicit coercions (`toString`, `valueOf`, iterators, getters, proxies) and callbacks invoked by accessible library functions.
@@ -97,6 +97,12 @@ transfer-encoding: chunked
SMUGGLED
```
### CL.0, 0.CL, and Double Desync
In CL.0, the front end honors `Content-Length` while the back end ignores the body; in 0.CL the front end ignores it while the back end expects it. The latter commonly deadlocks until an early-response gadget responds without consuming the body and keeps the connection open. Test redirects and early errors for that specific connection behavior. A subsequent controlled request can expose the boundary shift; two successive desyncs can convert 0.CL into CL.0. A lone timeout or 400 does not establish that chain.
Include `Expect: 100-continue` handling and interim/final response sequencing in differential tests. Calculate offsets from what the back end receives, including proxy-added headers. Use controlled follow-up requests to establish which bytes are consumed and which response belongs to each request ([HTTP/1.1 must die](https://portswigger.net/research/http1-must-die), [0.CL walkthrough](https://portswigger.net/blog/http-1-1-must-die-conquering-the-0-cl-challenge)).
## Key Vulnerabilities
### Front-End Security Control Bypass
@@ -79,6 +79,8 @@ JNDI injection is not itself a serialization format. It becomes part of this wor
### Python Pickle
**Model checkpoints:** `torch.load(..., weights_only=True)` does not rule out parser/storage memory corruption. Resolve the installed loader build and check current upstream advisories/backports before trusting that flag. Trace untrusted checkpoints through the exact loader and inspect safe-global allowlists ([example advisory](https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p)).
Pickle executes arbitrary code during unpickling by design:
```python
import pickle, os, base64
@@ -101,13 +103,15 @@ When `yaml.load` used instead of `yaml.safe_load`.
- POP chains through framework classes (Laravel, Symfony, WordPress plugins)
**Phar Deserialization**
- Upload or reference `phar://` wrapper triggering metadata deserialization on file operations
- Trace `phar://` file operations and explicit `Phar::getMetadata()` / `PharFileInfo::getMetadata()` calls. Verify the installed PHP version's metadata-deserialization behavior and `allowed_classes` handling from source/docs; archive opening alone does not establish a deserialization sink ([migration reference](https://www.php.net/manual/en/migration80.incompatible.php#migration80.incompatible.phar)).
### .NET Deserialization
**BinaryFormatter / LosFormatter**
- Never safe on untrusted input; full RCE with known gadget chains (ysoserial.net)
Inspect the target framework and resolved serialization packages to establish whether `BinaryFormatter` executes, throws, or is restored through a compatibility package. Check the matching runtime documentation before choosing gadget chains; `LosFormatter` and other serializers are separate surfaces ([Microsoft guide](https://learn.microsoft.com/en-us/dotnet/standard/serialization/binaryformatter-migration-guide/)).
**Json.NET**
```json
{"$type":"System.Windows.Data.ObjectDataProvider, PresentationFramework", ...}
@@ -193,7 +197,7 @@ Payload generation is the practitioner's core tool here. The sandbox has `git`/`
| **ysoserial** (frohoff) | Java native | Gadget-chain payloads: `CommonsCollections1-7`, `Groovy1`, `Spring1/2`, and `URLDNS` for a safe no-exec DNS oracle. Needs a JRE. |
| **phpggc** (ambionics) | PHP `unserialize` / Phar | Framework POP chains (Laravel, Symfony, WordPress, Drupal, Monolog). Needs `php-cli`. |
| **ysoserial.net** | .NET `BinaryFormatter` / Json.NET | Windows/.NET gadget payloads. Needs .NET/mono — usually out of scope in a Linux sandbox. |
| **marshalsec** | Java Hessian/Burlap, Kryo, JSON, and JNDI reference tooling | Use only from a reviewed, pinned upstream commit when a non-native Java marshaller requires it. It has no stable release and intentionally bundles historical gadget dependencies; do not treat it as a globally installed default tool. |
| **marshalsec** | Java Hessian/Burlap, Kryo, JSON, and JNDI reference tooling | Use only from a reviewed, pinned upstream commit when a non-native Java marshaller requires it. Check upstream release status and bundled gadget dependencies before selecting a commit; do not treat it as a globally installed default tool. |
```
# Java: prove the sink with a no-exec DNS oracle BEFORE any RCE chain
@@ -91,7 +91,7 @@ Binary search the character space to minimize requests. Works on any string fiel
### `$where` JavaScript Injection
If `$where` operator is enabled (disabled by default in MongoDB 7.0+; MongoDB 4.4–6.x deprecated it but left `javascriptEnabled` defaulting to `true`), inject arbitrary server-side JavaScript:
If `$where` is enabled, inject server-side JavaScript. Inspect `security.javascriptEnabled` / `--noscripting`, managed-service restrictions, and the installed engine version. Verify operator availability, defaults, and supported functions against that build's documentation or controlled probes; deprecation alone does not mean execution is disabled ([MongoDB documentation](https://www.mongodb.com/docs/manual/reference/operator/query/where/)):
```json
{"$where": "function(){return this.role == 'admin'}"} // direct filter — returns matching documents
{"$where": "function(){return this.username == 'admin' && sleep(2000)}"} // timing oracle only — sleep() returns undefined (falsy), so no documents are returned; observe latency
@@ -148,6 +148,8 @@ Improper file path handling and dynamic inclusion enable sensitive file disclosu
- Verify symlink handling and path canonicalization prior to write
- Impact: overwrite config/templates or drop webshells into served directories
**Python extraction filters:** Determine the effective `filter` and `TarFile.extraction_filter` from the installed Python runtime, caller configuration, and matching documentation; verify patch/backport status against current advisories ([documentation](https://docs.python.org/3/library/tarfile.html#extraction-filters)). Filters do not eliminate link-handling bugs: test archive link ordering and post-extraction reads for outside-file disclosure or permission/timestamp changes, separately from content overwrite ([security advisory](https://mail.python.org/archives/list/[email protected]/thread/EFJWGAZJA56AKSBR2WHMHQZO7RRLZPRH/)).
### File Write to Execution
Characterize the write primitive before choosing a payload:
@@ -51,7 +51,7 @@ Prototype pollution corrupts shared object prototypes (`Object.prototype`, `Arra
**Common Sinks**
- `lodash.merge`, `lodash.defaultsDeep`, `deep-extend`, `merge-options`
- Express/query parsers accepting nested objects
- YAML `load()` (not `safeLoad`) with prototype keys
- YAML merge-key handling with prototype keys: identify the js-yaml version/schema and check applicable upstream advisories. Test whether `<<` merges alter the parsed result's prototype, then trace inherited values into a sensitive consumer; global `Object.prototype` modification is not required. Verify the installed API rather than assuming `load` versus `safeLoad` determines safety ([merge advisory](https://github.com/nodeca/js-yaml/security/advisories/GHSA-mh29-5h37-fv8m)).
- JSON.parse → merge into existing object without null prototype
**RCE Gadget Chains (Node.js)**
+3 -1
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@@ -76,6 +76,8 @@ When output isn't reflected:
### Jinja2 / Mako (Python)
**Jinja sandbox:** resolve the installed Jinja build and check current sandbox advisories before selecting indirect `str.format` or `|attr` gadgets. Establish template-source control and inspect custom filters; user data passed only as a variable is a different surface ([release notes](https://jinja.palletsprojects.com/en/stable/changes/)).
The classic Python class walk — every object exposes its method-resolution-order, which leads to `object`, which exposes every subclass loaded in the interpreter, which includes things like `subprocess.Popen`:
```jinja
@@ -137,7 +139,7 @@ Twig sandbox bypasses are version-specific. The canonical historical gadget (Twi
{{_self.env.registerUndefinedFilterCallback("system")}}{{_self.env.getFilter("id")}}
```
This was patched — in Twig 2.x / 3.x `_self` returns the template name as a string and no longer exposes `.env`. Modern bypasses depend on which extensions are loaded and the active sandbox policy; consult Twig's published security advisories for the current state and probe with the version-specific gadgets (filter/function abuse, reflection on `_context` in some configs).
In Twig 2.x / 3.x, `_self` returns the template name as a string and does not expose `.env`. Bypasses depend on which extensions are loaded and the active sandbox policy; consult Twig's published security advisories and probe with the version-specific gadgets (filter/function abuse, reflection on `_context` in some configs).
Smarty `{php}...{/php}` was the historical RCE primitive; deprecated in Smarty 3 and removed in 4. On modern Smarty, the surface is static-method invocation and template-object reflection — `{$smarty.template_object->smarty->...}` walks back to the Smarty engine, and direct static calls on whitelisted classes (e.g. `{Smarty_Internal_Write_File::writeFile(...)}` on misconfigured installs) reach the filesystem. Probe both before assuming Smarty is hardened.
@@ -49,13 +49,15 @@ Weak or default credentials remain one of the most prevalent and high-impact vul
### Weak Password Policies
- No minimum length or complexity requirements
- Insufficient minimum length for the authentication mode; NIST SP 800-63B-4 requires 15 characters for single-factor passwords and permits a minimum of eight when the password is only used as part of MFA
- Allowing common passwords: `password`, `123456`, `qwerty`, `admin`, `letmein`
- Not checking against breached password databases (Have I Been Pwned)
- Case-insensitive password storage
- No password history enforcement
- Forced periodic changes without compromise evidence, which encourage predictable password changes
- Excessively short maximum length (indicates plaintext or weak hashing)
NIST SP 800-63B-4 recommends allowing a maximum of at least 64 characters and requires screening against common/compromised passwords and checking the entire password without truncation. Missing character-class rules is not a weakness: the standard prohibits mandatory composition rules and periodic resets without evidence of compromise. Apply these requirements when that standard is the target's policy baseline ([NIST SP 800-63B-4](https://pages.nist.gov/800-63-4/sp800-63b.html#passwordver)).
### Default and Hardcoded Credentials
- Vendor defaults: `admin/admin`, `admin/password`, `root/root`, `guest/guest`
@@ -191,7 +193,7 @@ No password wordlists ship in the sandbox by default — download what you need
5. Test for password spraying (one password, many users) before targeted brute-force
6. Check for concurrent session limits; successful logins may kick out legitimate users
7. GraphQL batching can test multiple credentials in a single request, bypassing per-request limits
8. Document the password policy and recommend minimum standards (length, complexity, breach checking)
8. Document the password policy and recommend minimum standards (length appropriate to single-factor/MFA use, breach checking, and resistance to online guessing)
9. For web logins prefer `ffuf`; for other services use `nmap` NSE `*-brute` scripts or custom scripts with equivalent logic
10. Combine with MFA testing: weak passwords plus missing MFA is a critical finding
+4
View File
@@ -53,6 +53,10 @@ Cross-site scripting persists because context, parser, and framework edges are c
## Key Vulnerabilities
### DOMPurify Live-Node Sanitization
Distinguish HTML-string input from live DOM objects sanitized with `IN_PLACE`. Resolve the deployed DOMPurify build and check relevant upstream advisories; a controlled observable `nodeName` is one live-node bypass mechanism. Trace same-origin foreign nodes or `adoptNode()` into this mode before selecting the bypass ([example advisory](https://github.com/cure53/DOMPurify/security/advisories/GHSA-x4vx-rjvf-j5p4)).
### DOM XSS
**Sources**
+2 -2
View File
@@ -12,11 +12,11 @@ Privacy is our priority. All collected data is anonymized by default. Each sessi
We collect only very **basic** usage data including:
**Session Errors:** Duration and error types (not messages or stack traces)\
**Session Errors:** Duration, the failure category, the scan phase, and the exception class name (not messages or stack traces)\
**System Context:** OS type, architecture, Strix version\
**Scan Context:** Scan mode (quick/standard/deep), scan type (whitebox/blackbox)\
**Model Usage:** Which LLM model is being used and whether it runs via an API key or a model subscription (not prompts or responses)\
**Feature Usage:** Which built-in skills are loaded\
**Feature Usage:** Which built-in skills were used during a scan (reported once, at scan end)\
**Aggregate Metrics:** Vulnerability counts by severity and weakness category (CWE)
### What We **Never** Collect
+12
View File
@@ -1,7 +1,19 @@
from . import posthog, scarf
from ._common import set_scan_phase
def report_error(error_type: str, exc: BaseException | None = None) -> None:
"""Beacon a failure category, plus the exception class when one is given.
Only class names travel: never the message, arguments, or traceback.
"""
posthog.error(error_type, exc)
scarf.error(error_type, exc)
__all__ = [
"posthog",
"report_error",
"scarf",
"set_scan_phase",
]
+41 -1
View File
@@ -5,7 +5,7 @@ import platform
import sys
from importlib.metadata import PackageNotFoundError, version
from pathlib import Path
from typing import Any
from typing import Any, cast
from uuid import uuid4
@@ -54,3 +54,43 @@ def base_props() -> dict[str, Any]:
"python": f"{sys.version_info.major}.{sys.version_info.minor}",
"strix_version": get_version(),
}
# Coarse stage of the current run, attached to ``error`` beacons so a failure
# can be placed without a message or trace. Process-local, like the rest of the
# CLI telemetry: one process runs one scan.
_scan_phase = "startup"
def set_scan_phase(phase: str) -> None:
global _scan_phase # noqa: PLW0603
_scan_phase = phase
def get_scan_phase() -> str:
return _scan_phase
def _exception_name(exc: BaseException) -> str:
cls = type(exc)
package = cls.__module__.split(".")[0]
return cls.__name__ if package == "builtins" else f"{package}.{cls.__name__}"
def _unwrap_group(exc: BaseException) -> BaseException:
if not isinstance(exc, BaseExceptionGroup):
return exc
group = cast("BaseExceptionGroup[BaseException]", exc)
return group.exceptions[0] if group.exceptions else group
def exception_props(exc: BaseException) -> dict[str, str]:
"""Class names only. Messages, arguments, and tracebacks never leave the machine."""
exc = _unwrap_group(exc)
props = {"exception_type": _exception_name(exc)}
cause = exc.__cause__
if cause is None and not exc.__suppress_context__:
cause = exc.__context__
if cause is not None:
props["exception_cause"] = _exception_name(cause)
return props
+19 -13
View File
@@ -4,10 +4,14 @@ from typing import TYPE_CHECKING, Any
import requests
from strix.config import load_settings
from strix.skills import get_loaded_skill_names
from strix.telemetry._common import (
SEND_TIMEOUT,
SESSION_ID,
base_props,
exception_props,
get_scan_phase,
get_version,
is_first_run,
)
@@ -35,7 +39,12 @@ def _send(event: str, properties: dict[str, Any]) -> bool:
"api_key": _POSTHOG_PUBLIC_API_KEY,
"event": event,
"distinct_id": SESSION_ID,
"properties": properties,
"properties": {
**properties,
"$lib": "strix-cli",
"$lib_version": get_version(),
"$process_person_profile": False,
},
}
with requests.post(f"{_POSTHOG_HOST}/capture/", json=payload, timeout=SEND_TIMEOUT):
pass
@@ -82,16 +91,6 @@ def finding(severity: str, cwe: str | None = None, is_cve: bool = False) -> None
)
def skill_loaded(skill_name: str) -> None:
_send(
"skill_loaded",
{
**base_props(),
"skill": skill_name,
},
)
def end(report_state: "ReportState", exit_reason: str = "completed") -> None:
if report_state.posthog_scan_ended_sent:
return
@@ -130,6 +129,7 @@ def end(report_state: "ReportState", exit_reason: str = "completed") -> None:
"vulnerabilities_total": len(report_state.vulnerability_reports),
**{f"vulnerabilities_{k}": v for k, v in vulnerabilities_counts.items()},
**llm_props,
"skills": get_loaded_skill_names(),
},
)
@@ -180,6 +180,12 @@ def viewer_agent_steered() -> None:
_send("viewer_agent_steered", {**base_props()})
def error(error_type: str) -> None:
props = {**base_props(), "error_type": error_type}
def error(error_type: str, exc: BaseException | None = None) -> None:
props: dict[str, Any] = {
**base_props(),
"error_type": error_type,
"phase": get_scan_phase(),
}
if exc is not None:
props.update(exception_props(exc))
_send("error", props)
+8 -12
View File
@@ -7,10 +7,13 @@ from typing import TYPE_CHECKING, Any
import requests
from strix.config import load_settings
from strix.skills import get_loaded_skill_names
from strix.telemetry._common import (
SEND_TIMEOUT,
SESSION_ID,
base_props,
exception_props,
get_scan_phase,
get_version,
is_first_run,
)
@@ -90,17 +93,6 @@ def finding(severity: str, cwe: str | None = None, is_cve: bool = False) -> None
)
def skill_loaded(skill_name: str) -> None:
_send(
"skill_loaded",
{
**base_props(),
"session": SESSION_ID,
"skill": skill_name,
},
)
def end(report_state: ReportState, exit_reason: str = "completed") -> None:
if report_state.scarf_scan_ended_sent:
return
@@ -140,14 +132,18 @@ def end(report_state: ReportState, exit_reason: str = "completed") -> None:
"vulnerabilities_total": len(report_state.vulnerability_reports),
**{f"vulnerabilities_{k}": v for k, v in vulnerabilities_counts.items()},
**llm_props,
"skills": ",".join(get_loaded_skill_names()),
},
)
def error(error_type: str) -> None:
def error(error_type: str, exc: BaseException | None = None) -> None:
props: dict[str, Any] = {
**base_props(),
"session": SESSION_ID,
"error_type": error_type,
"phase": get_scan_phase(),
}
if exc is not None:
props.update(exception_props(exc))
_send("error", props)
+93 -3
View File
@@ -15,6 +15,7 @@ from agents import RunContextWrapper, function_tool
from strix.core.agents import Status, coordinator_from_context
from strix.core.execution import notify_parent_on_terminal
from strix.core.hooks import LLM_TURN_KEY
from strix.report.state import get_global_report_state
from strix.skills import validate_requested_skills
@@ -28,6 +29,40 @@ def _ctx(ctx: RunContextWrapper) -> dict[str, Any]:
return ctx.context if isinstance(ctx.context, dict) else {}
def _filed_reports_by(agent_id: str) -> list[dict[str, Any]]:
"""Vulnerability reports the agent actually filed, from report state.
The narrative ``findings`` an agent hands to ``agent_finish`` is prose; a
parent that wants to act on a child's work needs the report ids. Read them
from the report state rather than trusting the child's description.
"""
state = get_global_report_state()
if state is None:
return []
filed: list[dict[str, Any]] = []
seen: set[str] = set()
for report in state.get_existing_vulnerabilities():
if report.get("agent_id") != agent_id:
continue
report_id = str(report.get("id") or "")
if not report_id or report_id in seen:
continue
seen.add(report_id)
filed.append(report)
return filed
def _render_filed_report(report: dict[str, Any]) -> str:
line = f"- {report.get('id')}"
severity = report.get("severity")
if severity:
line += f" [{str(severity).upper()}]"
title = report.get("title")
if title:
line += f" {title}"
return line
def _render_completion_report(
*,
agent_name: str,
@@ -38,6 +73,7 @@ def _render_completion_report(
findings: list[str],
recommendations: list[str],
open_items: list[str],
filed_reports: list[dict[str, Any]] | None = None,
) -> str:
"""Render a child's completion report as plain structured text.
@@ -63,6 +99,12 @@ def _render_completion_report(
lines.append("Findings:")
lines.extend(f"- {f}" for f in findings)
lines.append("")
lines.append("Vulnerability reports filed by this agent (authoritative; use these ids):")
if filed_reports:
lines.extend(_render_filed_report(r) for r in filed_reports)
else:
lines.append("- (none)")
lines.append("")
lines.append("Open items (unresolved, need follow-up):")
if open_items:
lines.extend(f"- {o}" for o in open_items)
@@ -149,8 +191,11 @@ async def send_message_to_agent(
**Don't** use for routine "hello/status" pings, for context the
target already has (children inherit parent history), or when
parent/child completion via ``agent_finish`` already covers the
flow. Messages to any registered agent wake it, regardless of
flow. In interactive runs a message wakes the target regardless of
status, so a follow-up can restart a completed/stopped/failed agent.
In non-interactive runs a finished agent is gone for good: the call
fails with the target's status, and you should read its filed
reports (``list_reports``) or spawn a new agent instead of waiting.
Args:
target_agent_id: Recipient's 8-char id.
@@ -195,10 +240,23 @@ async def send_message_to_agent(
},
)
if not delivered:
_, status = await coordinator.reachability(target_agent_id)
if status is None:
error = f"Target agent '{target_agent_id}' not found"
else:
error = (
f"Target agent '{target_agent_id}' is '{status}' and cannot be woken in "
"this run; it will never read this message. Its filed reports are in "
"list_reports / get_report. Do not wait_for_agents on it - spawn a new "
"agent if more work is needed."
)
return json.dumps(
{
"success": False,
"error": f"Target agent '{target_agent_id}' not found or message delivery failed",
"error": error,
"target_agent_id": target_agent_id,
"target_status": status,
"delivery_status": "not_delivered",
},
ensure_ascii=False,
default=str,
@@ -364,6 +422,31 @@ async def wait_for_agents( # noqa: PLR0911
default=str,
)
# Non-interactive agents cannot be woken once terminal, so with nobody
# running or waiting there is no message left to wait for.
if not await coordinator.active_agents_except(me):
_, statuses, names, _ = await coordinator.graph_snapshot()
return json.dumps(
{
"success": True,
"wait_outcome": "no_active_agents",
"reason": reason,
"agents": [
{"agent_id": aid, "name": names.get(aid, aid), "status": status}
for aid, status in statuses.items()
if aid != me
],
"note": (
"No other agent is running or waiting, so no message can arrive. "
"Finished agents' results are in list_reports / get_report and their "
"completion reports are already in your history. Continue your own "
"work, spawn a new agent, or finish."
),
},
ensure_ascii=False,
default=str,
)
await coordinator.park_waiting(me, wait_kind="agents")
try:
await asyncio.wait_for(coordinator.wait_for_message(me), timeout_seconds)
@@ -610,6 +693,9 @@ async def agent_finish(
default=str,
)
filed_reports = _filed_reports_by(me)
filed_report_ids = [str(r.get("id")) for r in filed_reports]
parent_notified = False
if report_to_parent and await coordinator.claim_parent_notice(me):
async with coordinator._lock:
@@ -623,6 +709,7 @@ async def agent_finish(
findings=list(findings or []),
recommendations=list(final_recommendations or []),
open_items=list(open_items or []),
filed_reports=filed_reports,
)
await coordinator.send(
parent_id,
@@ -632,6 +719,7 @@ async def agent_finish(
"content": report,
"type": "completion",
"priority": "high",
"filed_report_ids": filed_report_ids,
},
)
parent_notified = True
@@ -642,10 +730,11 @@ async def agent_finish(
await notify_parent_on_terminal(coordinator, me, "completed")
logger.info(
"agent_finish: %s success=%s findings=%d parent_notified=%s",
"agent_finish: %s success=%s findings=%d filed_reports=%d parent_notified=%s",
me,
success,
len(findings or []),
len(filed_report_ids),
parent_notified,
)
@@ -656,6 +745,7 @@ async def agent_finish(
"parent_notified": parent_notified,
"agent_id": me,
"summary": result_summary,
"filed_report_ids": filed_report_ids,
"findings_count": len(findings or []),
"open_items_count": len(open_items or []),
"has_recommendations": bool(final_recommendations),
+13 -1
View File
@@ -2,7 +2,13 @@
from __future__ import annotations
from strix.tools.mcp.agent_tools import call_mcp, describe_mcp, list_mcps
from strix.tools.mcp.agent_tools import (
call_mcp,
describe_mcp,
get_mcp_tool_schema,
list_mcps,
search_mcp_tools,
)
from strix.tools.mcp.client import (
ConnectedMcpServer,
attach_mcp_requests,
@@ -19,8 +25,10 @@ from strix.tools.mcp.naming import namespaced_tool_name
from strix.tools.mcp.registry import (
CALL_MCP_TOOL,
DESCRIBE_MCP_TOOL,
GET_MCP_TOOL_SCHEMA_TOOL,
MCP_DISPATCH_TOOLS,
MCP_REGISTRY_CONTEXT_KEY,
SEARCH_MCP_TOOLS_TOOL,
McpCallInfo,
McpConnectionEntry,
McpConnectionRequest,
@@ -35,8 +43,10 @@ from strix.tools.mcp.session import McpConnectionUnavailableError, SupervisedMcp
__all__ = [
"CALL_MCP_TOOL",
"DESCRIBE_MCP_TOOL",
"GET_MCP_TOOL_SCHEMA_TOOL",
"MCP_DISPATCH_TOOLS",
"MCP_REGISTRY_CONTEXT_KEY",
"SEARCH_MCP_TOOLS_TOOL",
"BearerAuth",
"ConnectedMcpServer",
"FailureInfo",
@@ -56,8 +66,10 @@ __all__ = [
"classify",
"connect_mcp_servers",
"describe_mcp",
"get_mcp_tool_schema",
"list_mcps",
"load_user_mcp_configs",
"namespaced_tool_name",
"resolve_mcp_call",
"search_mcp_tools",
]
+152 -44
View File
@@ -1,18 +1,21 @@
"""The three generic MCP dispatch tools every agent carries.
"""The generic MCP discovery and dispatch tools every agent carries.
Under the generic-dispatch model an agent does not get one tool per MCP tool.
It gets exactly these three and discovers connections on demand:
It gets four primary tools and discovers connections on demand:
- ``list_mcps()`` returns the connections available this run — each connection's
id, name, description, and tool count, with no tool schemas — so the model can
discover what it can reach without any inventory in the system prompt.
- ``describe_mcp(connection)`` returns, as text, one connection's tools with
their names, descriptions, and JSON input schemas — the schemas the model
needs, fetched on demand instead of loaded onto every request up front.
- ``search_mcp_tools(connection, query)`` returns a small ranked candidate set.
- ``get_mcp_tool_schema(connection, tool)`` returns one exact input schema.
- ``call_mcp(connection, tool, arguments)`` dispatches one call to a
connection's tool and returns its result.
All three read the per-run :class:`~strix.tools.mcp.registry.McpRegistry` from the
``describe_mcp`` remains as a compatibility path for older prompts, but current
agents use targeted search and one-schema lookup instead of receiving a whole
provider catalog in one model turn.
All four read the per-run :class:`~strix.tools.mcp.registry.McpRegistry` from the
run context under :data:`~strix.tools.mcp.registry.MCP_REGISTRY_CONTEXT_KEY`. They
are ordinary ``FunctionTool`` objects placed in the agent factory's base tool set,
so the factory's output-bounding and disk-spill wrapping apply to their results
@@ -50,13 +53,6 @@ def _unknown_connection(connection: str, registry: McpRegistry) -> str:
return f"Unknown MCP connection {connection!r}. Available connections: {available}."
def _unavailable_connection(connection: str) -> str:
return (
f"MCP connection {connection!r} is unavailable: its live session failed and "
"could not be reconnected, so it is unavailable for the rest of this run."
)
def _format_tool(tool: MCPTool) -> str:
schema = json.dumps(tool.inputSchema or {"type": "object"}, indent=2, ensure_ascii=False)
description = (tool.description or "").strip() or "(no description)"
@@ -68,12 +64,11 @@ async def list_mcps(ctx: RunContextWrapper) -> dict[str, Any]:
"""List the MCP connections available this run, so you can discover them.
Read-only. Returns one entry per connection with its ``id`` (the exact name
you pass to ``describe_mcp`` and ``call_mcp``), ``name``, ``description``, and
``tool_count`` — no tool schemas. The three MCP tools work in order: call
``list_mcps`` to discover the available connections, then ``describe_mcp`` on
one connection to inspect its tools and their input schemas, then ``call_mcp``
to run one of its tools. Returns an empty ``connections`` list when the run has
no MCP connections.
you pass to the other MCP tools), ``name``, ``description``, and
``tool_count``. The response does not include tool schemas. Call
``search_mcp_tools`` next. Then call ``get_mcp_tool_schema`` for one selected
tool before you call ``call_mcp``. Returns an empty ``connections`` list when
the run has no MCP connections.
"""
registry = _registry_from_ctx(ctx)
if registry is None or not registry:
@@ -87,6 +82,7 @@ async def list_mcps(ctx: RunContextWrapper) -> dict[str, Any]:
"description": summary.purpose,
"tool_count": summary.tool_count,
"dead": dead_by_name.get(summary.name, False),
"state": summary.state,
}
for summary in registry.summaries()
]
@@ -95,13 +91,12 @@ async def list_mcps(ctx: RunContextWrapper) -> dict[str, Any]:
@function_tool(timeout=60)
async def describe_mcp(ctx: RunContextWrapper, connection: str) -> str:
"""List the tools one MCP connection offers, with their input schemas.
"""Return one connection's full tool catalog as a compatibility fallback.
Read-only. Look up a connection by the id ``list_mcps`` reported for it; this
returns each of its tools with the tool's name, description, and JSON input
schema — the argument shape you pass to ``call_mcp``. Call this before
``call_mcp`` on any connection you have not used yet. Nothing is fetched from
or run against the connection's data.
Read-only. This result can be large because it includes every tool schema.
First use ``search_mcp_tools`` and ``get_mcp_tool_schema``. Use this fallback
only when targeted search cannot identify an expected tool. Nothing is read
from the connected account.
Args:
connection: The connection name exactly as reported by ``list_mcps``.
@@ -113,9 +108,9 @@ async def describe_mcp(ctx: RunContextWrapper, connection: str) -> str:
if entry is None:
return _unknown_connection(connection, registry)
try:
tools = await entry.session.list_tools()
except McpConnectionUnavailableError:
return _unavailable_connection(connection)
tools = await entry.ensure_catalog()
except McpConnectionUnavailableError as exc:
return str(exc)
if not tools:
return f"MCP connection {connection!r} offers no tools."
header = f"MCP connection {connection!r} offers {len(tools)} tool(s):"
@@ -123,6 +118,121 @@ async def describe_mcp(ctx: RunContextWrapper, connection: str) -> str:
return f"{header}\n{body}"
def _search_score(tool: MCPTool, query_terms: list[str], active: bool) -> tuple[int, str]:
name = tool.name.lower()
description = (tool.description or "").lower()
if not query_terms:
return (100 if active else 0, name)
score = 100 if active else 0
matched_terms = 0
for term in query_terms:
if name == term:
score += 60
matched_terms += 1
elif name.startswith(term):
score += 35
matched_terms += 1
elif term in name:
score += 25
matched_terms += 1
elif term in description:
score += 10
matched_terms += 1
if matched_terms == 0:
return (-1, name)
return (score + (matched_terms * 5), name)
@function_tool(timeout=60)
async def search_mcp_tools(
ctx: RunContextWrapper,
connection: str,
query: str,
limit: int = 8,
) -> dict[str, Any] | str:
"""Search one connection's tools without returning their full schemas.
The first search lazily connects the provider and caches its catalog. Results
contain only names, short descriptions, and whether each tool is in the
scan's active set. Call ``get_mcp_tool_schema`` for the selected tool.
Args:
connection: The connection name exactly as reported by ``list_mcps``.
query: Capability words such as ``page content`` or ``workspace identity``.
limit: Maximum candidates to return, from 1 through 20.
"""
registry = _registry_from_ctx(ctx)
if registry is None or not registry:
return _NO_CONNECTIONS
entry = registry.get(connection)
if entry is None:
return _unknown_connection(connection, registry)
try:
tools = await entry.ensure_catalog()
except McpConnectionUnavailableError as exc:
return str(exc)
terms = [term for term in query.lower().split() if term]
bounded_limit = min(max(limit, 1), 20)
ranked = [
(score, tool)
for tool in tools
if (score := _search_score(tool, terms, tool.name in entry.active_tools))[0] >= 0
]
if not ranked:
ranked = [
((100, tool.name.lower()), tool) for tool in tools if tool.name in entry.active_tools
]
ranked.sort(key=lambda item: (-item[0][0], item[0][1]))
return {
"connection": connection,
"query": query,
"matches": [
{
"name": tool.name,
"description": (tool.description or "").strip() or None,
"active": tool.name in entry.active_tools,
}
for _, tool in ranked[:bounded_limit]
],
}
@function_tool(timeout=60)
async def get_mcp_tool_schema(
ctx: RunContextWrapper,
connection: str,
tool: str,
) -> dict[str, Any] | str:
"""Return one MCP tool's exact input schema.
Args:
connection: The connection name exactly as reported by ``list_mcps``.
tool: One exact tool name returned by ``search_mcp_tools``.
"""
registry = _registry_from_ctx(ctx)
if registry is None or not registry:
return _NO_CONNECTIONS
entry = registry.get(connection)
if entry is None:
return _unknown_connection(connection, registry)
try:
tools = await entry.ensure_catalog()
except McpConnectionUnavailableError as exc:
return str(exc)
match = next((candidate for candidate in tools if candidate.name == tool), None)
if match is None:
return (
f"Unknown tool {tool!r} on MCP connection {connection!r}. "
"Call search_mcp_tools to find an available tool."
)
return {
"connection": connection,
"name": match.name,
"description": (match.description or "").strip() or None,
"input_schema": match.inputSchema or {"type": "object"},
}
@function_tool(timeout=120, strict_mode=False)
async def call_mcp(
ctx: RunContextWrapper,
@@ -132,19 +242,18 @@ async def call_mcp(
) -> Any:
"""Call one tool on one MCP connection and return its result.
Address the tool by the connection id from ``list_mcps`` and the tool name
from ``describe_mcp`` on that connection. Pass the tool's arguments as an
object matching the input schema ``describe_mcp`` showed for it (omit it, or
pass an empty object, for a tool that takes no arguments).
Use the connection id from ``list_mcps``. Use the tool name from
``search_mcp_tools``. Pass an object that matches the schema from
``get_mcp_tool_schema``. Omit the arguments for a tool that takes no
arguments.
Args:
connection: The connection name exactly as reported by ``list_mcps``.
tool: The tool name, exactly as reported by ``describe_mcp``.
tool: The tool name exactly as reported by ``search_mcp_tools``.
arguments: The tool's arguments as a JSON object of names to values (for
example ``{"path": "app.py"}``), or omitted/empty for a tool that
takes none. Pass an object, not a stringified one. Its shape is
whatever ``describe_mcp`` showed for the tool rather than a shape this
tool fixes in advance.
takes none. Pass an object, not a stringified object. Match the shape
that ``get_mcp_tool_schema`` returned.
"""
registry = _registry_from_ctx(ctx)
if registry is None or not registry:
@@ -154,7 +263,7 @@ async def call_mcp(
return _unknown_connection(connection, registry)
invalid_arguments = (
f"Invalid arguments for {connection!r}.{tool}: expected a JSON object of "
"argument names to values, or none. Call describe_mcp for the input schema."
"argument names to values, or none. Call get_mcp_tool_schema for the schema."
)
if isinstance(arguments, str):
# The ``arguments`` parameter is schema-less (an open object is not
@@ -169,18 +278,17 @@ async def call_mcp(
if arguments is not None and not isinstance(arguments, dict):
return invalid_arguments
try:
available = await entry.session.list_tools()
except McpConnectionUnavailableError:
return _errored_tool_output(_unavailable_connection(connection))
available = await entry.ensure_catalog()
except McpConnectionUnavailableError as exc:
return _errored_tool_output(str(exc))
valid_names = {mcp_tool.name for mcp_tool in available}
if tool not in valid_names:
offered = ", ".join(sorted(valid_names)) or "(none)"
return (
f"Unknown tool {tool!r} on MCP connection {connection!r}. "
f"Tools this connection offers: {offered}. "
"Call describe_mcp for their input schemas."
"Call search_mcp_tools, then get_mcp_tool_schema."
)
return await entry.session.dispatch(
session = await entry.ensure_connected()
return await session.dispatch(
tool,
arguments or {},
label=namespaced_tool_name(connection, tool),
+30 -25
View File
@@ -14,6 +14,7 @@ fails the run.
from __future__ import annotations
import asyncio
import contextlib
import json
import logging
@@ -281,8 +282,10 @@ async def _count_session_tools(config: McpConnectionConfig, session: SupervisedM
async def connect_mcp_servers(
configs: list[McpConnectionConfig],
*,
max_concurrency: int = 6,
) -> list[ConnectedMcpServer]:
"""Connect each MCP config on its own supervising task and return the sessions.
"""Connect MCP configs concurrently under a fixed bound.
Each connection becomes a :class:`~strix.tools.mcp.session.SupervisedMcpSession`
that owns ``connect()``, the held-open session, and ``cleanup()`` on one
@@ -301,41 +304,43 @@ async def connect_mcp_servers(
:class:`~strix.tools.mcp.registry.McpRegistry` from these sessions, and the
agent reaches each tool on demand through ``describe_mcp`` / ``call_mcp``.
"""
connected: list[ConnectedMcpServer] = []
semaphore = asyncio.Semaphore(max(1, max_concurrency))
sessions: list[SupervisedMcpSession] = []
try:
for config in configs:
async def connect_one(config: McpConnectionConfig) -> ConnectedMcpServer | None:
async with semaphore:
session = SupervisedMcpSession(config)
sessions.append(session)
if not await session.start():
# Initial connect failed; already logged inside the session. Drop it.
await session.aclose()
sessions.remove(session)
continue
try:
if not await session.start():
await session.aclose()
return None
tool_count = await _count_session_tools(config, session)
except McpConnectionUnavailableError:
# The session died between connecting and its first listing; skip it.
logger.warning("MCP connection %r died before its first listing", config.name)
await session.aclose()
sessions.remove(session)
continue
return None
except BaseException:
with contextlib.suppress(BaseException):
await session.aclose()
raise
logger.info("Connected MCP server %r (%d tools)", config.name, tool_count)
connected.append(
ConnectedMcpServer(
session=session, name=config.name, tool_count=tool_count, notes=config.notes
)
return ConnectedMcpServer(
session=session,
name=config.name,
tool_count=tool_count,
notes=config.notes,
)
except BaseException:
# Cancelled or errored mid-attach: close every session started so far,
# each on its own task, then re-raise. The runner only receives the list
# on a clean return, so on an abnormal exit this function owns the cleanup.
for session in sessions:
with contextlib.suppress(BaseException):
await session.aclose()
raise
return connected
try:
results = await asyncio.gather(*(connect_one(config) for config in configs))
except BaseException:
await asyncio.gather(
*(session.aclose() for session in sessions),
return_exceptions=True,
)
raise
return [result for result in results if result is not None]
async def attach_mcp_requests(
+3
View File
@@ -62,6 +62,9 @@ class McpConnectionConfig(BaseModel):
"""Tool allowlist, applied after the server lists its tools. ``None`` (the
default) exposes every tool the server lists; a list restricts to it."""
active_tools: list[str] = Field(default_factory=list)
"""Small scan-relevant subset ranked ahead of the broader allowed catalog."""
notes: str | None = None
"""Free-text notes for the agent describing what this connection is and how
to use it. When set, the note becomes the connection's purpose line in the
+246 -28
View File
@@ -22,13 +22,18 @@ single dispatch point.
from __future__ import annotations
import asyncio
import contextlib
import dataclasses
from typing import TYPE_CHECKING, Any, NamedTuple
import time
from typing import TYPE_CHECKING, Any, Literal, NamedTuple
from strix.tools.mcp.session import SupervisedMcpSession
from strix.tools.mcp.session import McpConnectionUnavailableError, SupervisedMcpSession
if TYPE_CHECKING:
from collections.abc import Callable
from agents.mcp import MCPServer
from strix.tools.mcp.client import ResultTransform
@@ -49,37 +54,60 @@ MCP_REGISTRY_CONTEXT_KEY = "mcp_registry"
# tracer all recognise a connection-scoped dispatch call by the same names.
CALL_MCP_TOOL = "call_mcp"
DESCRIBE_MCP_TOOL = "describe_mcp"
MCP_DISPATCH_TOOLS = frozenset({CALL_MCP_TOOL, DESCRIBE_MCP_TOOL})
SEARCH_MCP_TOOLS_TOOL = "search_mcp_tools"
GET_MCP_TOOL_SCHEMA_TOOL = "get_mcp_tool_schema"
MCP_DISPATCH_TOOLS = frozenset(
{
CALL_MCP_TOOL,
DESCRIBE_MCP_TOOL,
SEARCH_MCP_TOOLS_TOOL,
GET_MCP_TOOL_SCHEMA_TOOL,
}
)
McpConnectionState = Literal[
"configured",
"connecting",
"connected",
"catalog_loading",
"catalog_ready",
"unavailable",
]
_RETRY_DELAY_SECONDS = 5.0
@dataclasses.dataclass(frozen=True)
@dataclasses.dataclass
class McpConnectionEntry:
"""One live MCP connection a scan may reach, keyed by ``name``.
"""One configured MCP connection a scan may reach, keyed by ``name``.
``session`` is the :class:`~strix.tools.mcp.session.SupervisedMcpSession` that
owns the connection on its own task; the dispatch tools list tools and call
tools through it (``session.list_tools`` / ``session.dispatch``) so a session
failure is contained and can reconnect. ``purpose`` is the human label
``list_mcps`` reports as the connection's description (the user's connection
notes, or whatever the caller supplies). ``tool_count`` is how many tools the
connection offers, also reported by ``list_mcps``. ``result_transform``, when
set, runs on each call's structured result at the single dispatch point
(strix-pro's sanitizer uses it). ``provider`` is an optional source label
(e.g. ``"supabase"``) the caller tags the connection with; the command-line
path leaves it ``None``, and event tagging surfaces it when set.
The connection config the session reconnects with (and its bearer token) lives
on ``session`` in memory only. It is reached via :attr:`config` for the
reconnect path and is never logged, serialized into the event stream, or
written to disk.
Registration is inert. The first warm-up, search, schema lookup, or call
creates one shared connection task; the first catalog operation creates one
shared listing task. Root and child agents therefore reuse the same session
and catalog even when they request a cold connection concurrently.
"""
session: SupervisedMcpSession
name: str
connection_config: McpConnectionConfig | None = dataclasses.field(
default=None,
repr=False,
)
session: SupervisedMcpSession | None = dataclasses.field(default=None, repr=False)
purpose: str | None = None
tool_count: int = 0
result_transform: ResultTransform | None = None
provider: str | None = None
state: McpConnectionState = "configured"
_catalog: list[Any] | None = dataclasses.field(default=None, repr=False)
_connect_task: asyncio.Task[SupervisedMcpSession] | None = dataclasses.field(
default=None,
repr=False,
)
_catalog_task: asyncio.Task[list[Any]] | None = dataclasses.field(
default=None,
repr=False,
)
_retry_after: float = dataclasses.field(default=0.0, repr=False)
_status_sink: Callable[[], None] | None = dataclasses.field(default=None, repr=False)
@property
def server(self) -> MCPServer | None:
@@ -88,12 +116,143 @@ class McpConnectionEntry:
Kept so existing callers that read ``entry.server`` keep working; new code
should call through ``entry.session`` so reconnect and containment apply.
"""
return self.session.server
return self.session.server if self.session is not None else None
@property
def config(self) -> McpConnectionConfig | None:
"""The session's reconnect config. Carries the bearer token; never log it."""
return self.session.config
"""The reconnect config. Carries the bearer token; never log it."""
if self.connection_config is not None:
return self.connection_config
return self.session.config if self.session is not None else None
@property
def active_tools(self) -> frozenset[str]:
config = self.config
return frozenset(config.active_tools if config is not None else ())
def set_status_sink(self, sink: Callable[[], None] | None) -> None:
self._status_sink = sink
if self.session is not None:
self.session.set_on_dead(self._on_dead)
def _set_state(self, state: McpConnectionState) -> None:
if self.state == state:
return
self.state = state
if self._status_sink is not None:
self._status_sink()
def _on_dead(self) -> None:
self.session = None
self._catalog = None
self._catalog_task = None
self._retry_after = time.monotonic() + _RETRY_DELAY_SECONDS
self._set_state("unavailable")
async def ensure_connected(self) -> SupervisedMcpSession:
"""Return this entry's live session, connecting it once when needed."""
if self.session is not None:
return self.session
if self.connection_config is None:
raise McpConnectionUnavailableError(
f"MCP connection {self.name!r} is unavailable and cannot reconnect."
)
if self._connect_task is None:
if self.state == "unavailable" and time.monotonic() < self._retry_after:
raise McpConnectionUnavailableError(
f"MCP connection {self.name!r} is temporarily unavailable."
)
self._connect_task = asyncio.create_task(
self._connect(),
name=f"mcp-connect-{self.name}",
)
task = self._connect_task
try:
return await asyncio.shield(task)
finally:
if self._connect_task is task and task.done():
self._connect_task = None
async def _connect(self) -> SupervisedMcpSession:
config = self.connection_config
if config is None:
raise McpConnectionUnavailableError(
f"MCP connection {self.name!r} has no connection configuration."
)
self._set_state("connecting")
session = SupervisedMcpSession(config)
try:
started = await session.start()
except BaseException:
with contextlib.suppress(BaseException):
await session.aclose()
self._retry_after = time.monotonic() + _RETRY_DELAY_SECONDS
self._set_state("unavailable")
raise
if not started:
await session.aclose()
self._retry_after = time.monotonic() + _RETRY_DELAY_SECONDS
self._set_state("unavailable")
raise McpConnectionUnavailableError(f"MCP connection {self.name!r} could not connect.")
self.session = session
session.set_on_dead(self._on_dead)
self._retry_after = 0.0
self._set_state("connected")
return session
async def ensure_catalog(self) -> list[Any]:
"""Return the filtered catalog, listing it once on first use."""
if (
self._catalog is not None
and self.session is not None
and not self.session.is_dead
and not self.session.is_unavailable
):
return self._catalog
if self.session is not None and (self.session.is_dead or self.session.is_unavailable):
self._catalog = None
if self._catalog_task is None:
self._catalog_task = asyncio.create_task(
self._load_catalog(),
name=f"mcp-catalog-{self.name}",
)
task = self._catalog_task
try:
return await asyncio.shield(task)
finally:
if self._catalog_task is task and task.done():
self._catalog_task = None
async def _load_catalog(self) -> list[Any]:
session = await self.ensure_connected()
self._set_state("catalog_loading")
try:
catalog = await session.list_tools()
except BaseException:
if session.is_dead:
self._set_state("unavailable")
else:
self._set_state("connected")
raise
self._catalog = list(catalog)
self.tool_count = len(self._catalog)
self._set_state("catalog_ready")
return self._catalog
async def close(self) -> None:
"""Cancel pending initialization and close an opened session."""
tasks = [task for task in (self._catalog_task, self._connect_task) if task is not None]
for task in tasks:
task.cancel()
for task in tasks:
with contextlib.suppress(BaseException):
await task
self._catalog_task = None
self._connect_task = None
if self.session is not None:
with contextlib.suppress(BaseException):
await self.session.aclose()
self.session = None
@dataclasses.dataclass(frozen=True)
@@ -105,6 +264,7 @@ class McpConnectionSummary:
purpose: str | None
tool_count: int
provider: str | None = None
state: McpConnectionState = "configured"
@dataclasses.dataclass(frozen=True)
@@ -123,6 +283,7 @@ class McpConnectionStatus:
provider: str | None
tool_count: int
dead: bool
state: McpConnectionState
@dataclasses.dataclass(frozen=True)
@@ -165,6 +326,21 @@ class McpRegistry:
def __init__(self) -> None:
self._entries: dict[str, McpConnectionEntry] = {}
self._status_sink: Callable[[], None] | None = None
self._warmup_task: asyncio.Task[None] | None = None
def register(self, request: McpConnectionRequest) -> McpConnectionEntry:
"""Register an inert request without opening a network connection."""
entry = McpConnectionEntry(
name=request.config.name,
connection_config=request.config,
purpose=request.purpose or request.config.notes,
result_transform=request.result_transform,
provider=request.provider,
)
entry.set_status_sink(self._status_sink)
self._entries[entry.name] = entry
return entry
def add(
self,
@@ -191,13 +367,16 @@ class McpRegistry:
raise ValueError("McpRegistry.add requires either 'session' or 'server'")
session = SupervisedMcpSession.adopt(server, name=name, config=config)
entry = McpConnectionEntry(
session=session,
name=name,
connection_config=config or session.config,
session=session,
purpose=purpose,
tool_count=tool_count,
result_transform=result_transform,
provider=provider,
state="connected",
)
entry.set_status_sink(self._status_sink)
self._entries[name] = entry
return entry
@@ -217,6 +396,7 @@ class McpRegistry:
purpose=entry.purpose,
tool_count=entry.tool_count,
provider=entry.provider,
state=entry.state,
)
for entry in self._entries.values()
]
@@ -233,7 +413,9 @@ class McpRegistry:
name=entry.name,
provider=entry.provider,
tool_count=entry.tool_count,
dead=entry.session.is_dead,
dead=entry.state == "unavailable"
or (entry.session is not None and entry.session.is_dead),
state=entry.state,
)
for entry in self._entries.values()
]
@@ -243,6 +425,42 @@ class McpRegistry:
runner)."""
self._entries.clear()
def set_status_sink(self, sink: Callable[[], None] | None) -> None:
"""Receive a callback after any connection lifecycle transition."""
self._status_sink = sink
for entry in self._entries.values():
entry.set_status_sink(sink)
def start_warmup(self, *, max_concurrency: int = 6) -> asyncio.Task[None]:
"""Connect every configured entry in the background with a fixed bound."""
if self._warmup_task is not None:
return self._warmup_task
async def warm() -> None:
semaphore = asyncio.Semaphore(max(1, max_concurrency))
async def connect(entry: McpConnectionEntry) -> None:
async with semaphore:
with contextlib.suppress(McpConnectionUnavailableError):
await entry.ensure_connected()
await asyncio.gather(*(connect(entry) for entry in self._entries.values()))
self._warmup_task = asyncio.create_task(warm(), name="mcp-warmup")
return self._warmup_task
async def close(self) -> None:
"""Stop warm-up and close only sessions this registry opened."""
if self._warmup_task is not None:
self._warmup_task.cancel()
with contextlib.suppress(BaseException):
await self._warmup_task
self._warmup_task = None
await asyncio.gather(
*(entry.close() for entry in self._entries.values()),
return_exceptions=True,
)
def __len__(self) -> int:
return len(self._entries)
@@ -282,6 +500,6 @@ def resolve_mcp_call(
if entry is None:
return None
provider = entry.provider
raw_tool = args.get("tool") if tool_name == CALL_MCP_TOOL else ""
raw_tool = args.get("tool") if tool_name in {CALL_MCP_TOOL, GET_MCP_TOOL_SCHEMA_TOOL} else ""
tool = raw_tool if isinstance(raw_tool, str) else ""
return McpCallInfo(connection=connection, tool=tool, provider=provider)
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