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35 Commits

Author SHA1 Message Date
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 s
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 <95933896+vardhans07@users.noreply.github.com>
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 s
22959a7ba6 feat(reporting): link HTTP exchange evidence (#1281)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-09-09 07:50:23 -07:00
devin-ai-integration[bot]
52b1923347 fix(models): frontier model check matches the model name only, never the provider route (#1280)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
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]
f4b0416b71 docs: update README and CLI links (#1272)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
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
73 changed files with 3275 additions and 747 deletions

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
```

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"
```

204
README.md
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.

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
docs/cloud/cli.mdx Normal file
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
```

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>

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"
]
}
]

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

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

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` |

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

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

View File

@@ -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

View File

@@ -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

View File

@@ -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 |

49
docs/usage/viewer.mdx Normal file
View File

@@ -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.

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",

View File

@@ -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 ""

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

View File

@@ -69,7 +69,7 @@ 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:
@@ -579,6 +579,7 @@ _BASE_TOOLS: tuple[Tool, ...] = (
save_threat_model,
amend_threat_model,
web_search,
web_get_contents,
create_vulnerability_report,
create_dependency_report,
update_vulnerability_report,

View File

@@ -240,6 +240,7 @@ 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.
- 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.
@@ -493,6 +494,8 @@ 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:

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()}

View File

@@ -562,6 +562,8 @@ 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 +572,7 @@ 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 +580,8 @@ 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 +593,27 @@ 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",
)
@@ -616,9 +632,11 @@ 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)
@@ -793,6 +811,8 @@ 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 +851,8 @@ 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 +864,6 @@ 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 +881,6 @@ 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

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",

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

View File

@@ -202,6 +202,7 @@ async def run_agent_loop(
agent_id,
session=session,
interrupt_on_message=interactive,
resumable=interactive,
)
result: RunResultBase | None = None
@@ -1006,7 +1007,7 @@ 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

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,
@@ -116,6 +117,13 @@ def _record_mcp_connections(connections: list[ConnectedMcpServer]) -> None:
report_state.record_mcp_connections([connection.name for connection in connections])
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:
"""Write the run's non-secret MCP connection status roster to run.json.
@@ -313,6 +321,7 @@ 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 +331,7 @@ 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"]
@@ -573,6 +583,7 @@ 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,
@@ -610,6 +621,7 @@ 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")
@@ -622,6 +634,7 @@ 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")

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
""",
)

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)

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:

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,
*,

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."),

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)

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)
@@ -395,15 +401,18 @@ def _bootstrap_scan(args: argparse.Namespace) -> None:
happen inside the TUI so the interface paints immediately instead of
waiting on a model round trip.
"""
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)
@@ -450,8 +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()
@@ -466,6 +473,9 @@ def main() -> None:
pull_docker_image()
validate_environment()
# Everything below imports the scan engine; do not race the warm-up thread.
wait_for_import_warmup()
if args.non_interactive:
_bootstrap_scan(args)
@@ -477,18 +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()

View File

@@ -192,7 +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,

View File

@@ -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

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.

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."""
@@ -138,11 +144,13 @@ class GoTuiRuntime:
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
@@ -181,7 +189,11 @@ 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))
@@ -195,13 +207,21 @@ 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"
@@ -240,6 +260,9 @@ 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"
@@ -321,7 +344,9 @@ 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(

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
@@ -1602,7 +1603,8 @@ 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")

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)

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>

View File

@@ -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>

View File

@@ -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>

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-B94ANU8d.js"></script>
<link rel="stylesheet" crossorigin href="./assets/index-DN__rVv3.css">
</head>
<body>
<div id="root"></div>

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()

View File

@@ -73,6 +73,7 @@ UPDATABLE_REPORT_FIELDS = frozenset(
"cve",
"cwe",
"code_locations",
"http_exchange_ids",
"fix_verification",
"fix_pr_body",
}
@@ -333,6 +334,7 @@ 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,
@@ -391,6 +393,8 @@ 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:
@@ -403,14 +407,14 @@ 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
@@ -486,11 +490,18 @@ 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.
@@ -502,9 +513,6 @@ 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

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]:

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

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",
]

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

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)

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)

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),

View File

@@ -4,6 +4,7 @@ from __future__ import annotations
import asyncio
import dataclasses
import functools
import json
import logging
import re
@@ -67,6 +68,31 @@ async def _call[T](client: Client, fn: Callable[[Client], Awaitable[T]]) -> T:
return await fn(client)
async def existing_request_ids(
ctx: RunContextWrapper,
request_ids: list[str],
) -> set[str]:
"""Return request IDs that exist in the current Caido project."""
if not request_ids:
return set()
client = await _ctx_client(ctx)
if client is None:
raise RuntimeError("Caido client is not available")
# Request IDs are not an HTTPQL field. Resolve each ID through the same
# project-bound lookup as view_request rather than constructing a filter.
existing: set[str] = set()
for request_id in request_ids:
result = await _call(
client,
functools.partial(caido_api.get_request_with_client, request_id=request_id),
)
if result is not None:
existing.add(str(result.request.id))
return existing
def _to_tool_json(value: Any) -> Any:
"""Recursively convert SDK dataclasses/Pydantic objects to tool JSON values."""
if value is None or isinstance(value, str | int | float | bool):

View File

@@ -17,6 +17,7 @@ from typing import TYPE_CHECKING, Any
from agents import RunContextWrapper, function_tool
from strix.tools.nullish import clean_optional
from strix.tools.proxy.tools import existing_request_ids
if TYPE_CHECKING:
@@ -168,6 +169,8 @@ _REQUIRED_FIELDS = {
_VALID_FIX_EFFORT = frozenset({"trivial", "low", "medium", "high"})
_VALID_CONFIDENCE = frozenset({"high", "medium", "low"})
_MAX_HTTP_EXCHANGE_IDS = 10
_MAX_HTTP_EXCHANGE_ID_CHARS = 128
def _validate_required_text(fields: dict[str, str]) -> list[str]:
@@ -177,6 +180,97 @@ def _validate_required_text(fields: dict[str, str]) -> list[str]:
]
def _normalize_http_exchange_ids(raw: Any) -> tuple[list[str] | None, list[str]]:
"""Return distinct proxy exchange ids in their original order."""
if raw is None:
return None, []
if not isinstance(raw, list):
return None, ["http_exchange_ids must be a list of proxy request ids"]
normalized: list[str] = []
errors: list[str] = []
seen: set[str] = set()
for index, value in enumerate(raw):
if not isinstance(value, str):
errors.append(f"http_exchange_ids[{index}] must be a string")
continue
request_id = value.strip()
if not request_id:
errors.append(f"http_exchange_ids[{index}] cannot be empty")
continue
if len(request_id) > _MAX_HTTP_EXCHANGE_ID_CHARS:
errors.append(
f"http_exchange_ids[{index}] must be {_MAX_HTTP_EXCHANGE_ID_CHARS} "
"characters or fewer"
)
continue
if any(ord(char) < 0x21 or ord(char) > 0x7E for char in request_id):
errors.append(f"http_exchange_ids[{index}] must contain only visible ASCII characters")
continue
if not request_id.isdigit():
errors.append(f"http_exchange_ids[{index}] must be a numeric proxy request id")
continue
if request_id not in seen:
seen.add(request_id)
normalized.append(request_id)
if len(normalized) > _MAX_HTTP_EXCHANGE_IDS:
errors.append(
f"http_exchange_ids can contain at most "
f"{_MAX_HTTP_EXCHANGE_IDS} distinct request ids"
)
break
return normalized, errors
_HTTP_EXCHANGE_DROPPED_WARNING = (
"http_exchange_ids were not stored: the proxy project could not be reached to verify "
"them. Attach them with update_vulnerability_report when the proxy responds again."
)
async def _verify_http_exchange_ids(
ctx: RunContextWrapper,
raw: Any,
) -> tuple[list[str] | None, list[str], str | None]:
"""Verify proxy exchange IDs against the current Caido project.
IDs the project does not know are rejected. When the proxy itself cannot be
queried the IDs are dropped and a warning is returned instead, so a proxy
outage never blocks a finding and unverified IDs are never recorded as
evidence.
"""
request_ids, errors = _normalize_http_exchange_ids(raw)
if request_ids is None or errors or not request_ids:
return request_ids, errors, None
try:
existing_ids = await existing_request_ids(ctx, request_ids)
except Exception: # noqa: BLE001
logger.warning(
"Could not verify HTTP exchange IDs against the current Caido project",
exc_info=True,
)
return None, [], _HTTP_EXCHANGE_DROPPED_WARNING
missing_ids = [request_id for request_id in request_ids if request_id not in existing_ids]
if missing_ids:
return (
None,
[
"http_exchange_ids do not exist in the current proxy project: "
+ ", ".join(missing_ids)
],
None,
)
return request_ids, [], None
def _with_warning(result: dict[str, Any], warning: str | None) -> dict[str, Any]:
if warning and result.get("success"):
result["warning"] = warning
return result
def _validate_cvss_breakdown(breakdown: Any) -> list[str]:
"""Check the 8 CVSS metrics are all present with legal values."""
if not isinstance(breakdown, dict) or not breakdown:
@@ -299,7 +393,7 @@ _UPDATE_TEXT_FIELDS = (
)
def _collect_update_changes( # noqa: PLR0912
def _collect_update_changes( # noqa: PLR0912, PLR0915
fields: dict[str, Any],
) -> tuple[dict[str, Any], list[str]]:
"""Validate the fields a revision replaces and return them with any errors."""
@@ -368,6 +462,12 @@ def _collect_update_changes( # noqa: PLR0912
if cwe:
changes["cwe"] = cwe
raw_http_exchange_ids = fields.get("http_exchange_ids")
http_exchange_ids, http_exchange_errors = _normalize_http_exchange_ids(raw_http_exchange_ids)
errors.extend(http_exchange_errors)
if raw_http_exchange_ids is not None and not http_exchange_errors:
changes["http_exchange_ids"] = http_exchange_ids or []
return changes, errors
@@ -378,6 +478,7 @@ _DYNAMIC_ONLY_UPDATE_FIELDS = (
"method",
"poc_description",
"poc_script_code",
"http_exchange_ids",
)
# A dependency finding is rated in the context of the codebase that pins it, and
@@ -551,13 +652,24 @@ def _do_update(
if class_error is not None:
return class_error
updated = report_state.update_vulnerability_report(
report_id,
changes,
update_reason=update_reason,
updated_by_agent_id=agent_id,
updated_by_agent_name=agent_name,
)
try:
updated = report_state.update_vulnerability_report(
report_id,
changes,
update_reason=update_reason,
updated_by_agent_id=agent_id,
updated_by_agent_name=agent_name,
)
except Exception as e:
logger.exception("update_vulnerability_report persistence failed")
return {
"success": False,
"error": (
f"Failed to revise report '{report_id}': {e!s}. "
"The report still carries its previous content; retry the update."
),
"report_id": report_id,
}
if updated is None:
known = [r.get("id") for r in report_state.get_existing_vulnerabilities()]
if report_id not in known:
@@ -606,6 +718,7 @@ async def _do_create(
cve: str | None,
cwe: str | None,
code_locations: list[dict[str, Any]] | None,
http_exchange_ids: list[str] | None = None,
confidence_rationale: str | None = None,
fix_verification: str | None = None,
fix_pr_body: str | None = None,
@@ -651,6 +764,10 @@ async def _do_create(
errors.extend(_validate_fix_verification(parsed_locations, fix_verification))
cve, cwe, identifier_errors = _validate_identifiers(cve, cwe)
errors.extend(identifier_errors)
normalized_http_exchange_ids, http_exchange_errors = _normalize_http_exchange_ids(
http_exchange_ids
)
errors.extend(http_exchange_errors)
if errors:
return {"success": False, "error": "Validation failed", "errors": errors}
@@ -712,6 +829,7 @@ async def _do_create(
"code_locations": parsed_locations,
"fix_verification": fix_verification,
"fix_pr_body": fix_pr_body,
"http_exchange_ids": normalized_http_exchange_ids,
}
dedupe = await check_duplicate(candidate, existing)
@@ -738,9 +856,15 @@ async def _do_create(
agent_id=agent_id if isinstance(agent_id, str) else None,
agent_name=agent_name if isinstance(agent_name, str) else None,
)
except (ImportError, AttributeError) as e:
except Exception as e:
logger.exception("create_vulnerability_report persistence failed")
return {"success": False, "error": f"Failed to create vulnerability report: {e!s}"}
return {
"success": False,
"error": (
f"Failed to create vulnerability report: {e!s}. "
"The finding was not stored; file it again."
),
}
else:
logger.info(
"Vulnerability report created: id=%s severity=%s cvss=%.1f title=%s",
@@ -796,6 +920,7 @@ async def create_vulnerability_report(
cve: str | None = None,
cwe: str | None = None,
code_locations: list[dict[str, Any]] | None = None,
http_exchange_ids: list[str] | None = None,
confidence_rationale: str | None = None,
fix_verification: str | None = None,
fix_pr_body: str | None = None,
@@ -1040,6 +1165,18 @@ async def create_vulnerability_report(
cve: ``CVE-YYYY-NNNNN`` if certain, else omit.
cwe: ``CWE-NNN`` (most specific child) if certain, else omit.
code_locations: White-box findings — list of location objects.
http_exchange_ids: Proxy request IDs that prove this finding.
Copy these IDs from ``list_requests`` or ``view_request``.
For a finding validated over HTTP, capture and inspect the
supporting exchanges and include their IDs here before filing.
Include relevant baseline/control requests as well as the exploit.
Omit only when the finding has no captured HTTP evidence (for
example a static-only code finding). Never invent IDs or drop
them to bypass a verification error; retry the capture instead.
If the result carries a ``warning`` that the IDs were not
stored, the finding is filed without them: attach them with
``update_vulnerability_report`` once the proxy responds.
Keep IDs out of ``evidence`` and all other report text.
**How ``fix_before`` / ``fix_after`` work**: they're used as
literal GitHub/GitLab PR suggestion blocks. When a reviewer
@@ -1187,6 +1324,22 @@ async def create_vulnerability_report(
reduce impact and lower the severity.
fix_effort: "low"
"""
(
http_exchange_ids,
http_exchange_errors,
http_exchange_warning,
) = await _verify_http_exchange_ids(ctx, http_exchange_ids)
if http_exchange_errors:
return json.dumps(
{
"success": False,
"error": "Validation failed",
"errors": http_exchange_errors,
},
ensure_ascii=False,
default=str,
)
agent_id, agent_name = _caller_identity(ctx)
result = await _do_create(
@@ -1211,12 +1364,13 @@ async def create_vulnerability_report(
cve=cve,
cwe=cwe,
code_locations=code_locations,
http_exchange_ids=http_exchange_ids,
fix_verification=fix_verification,
fix_pr_body=fix_pr_body,
agent_id=agent_id,
agent_name=agent_name,
)
return json.dumps(result, ensure_ascii=False, default=str)
return json.dumps(_with_warning(result, http_exchange_warning), ensure_ascii=False, default=str)
@function_tool(timeout=60, strict_mode=False)
@@ -1245,6 +1399,7 @@ async def update_vulnerability_report(
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,
contextual_cvss_reasoning: str | None = None,
@@ -1317,47 +1472,74 @@ async def update_vulnerability_report(
cve: Replacement CVE id.
cwe: Replacement CWE id.
code_locations: Replacement code locations.
http_exchange_ids: Replacement proxy request ids. Pass an empty
list to remove all linked exchanges.
fix_verification: Verification statement for an applyable fix.
fix_pr_body: Replacement fix PR body.
contextual_cvss_reasoning: Dependency findings only. What you
observed in this codebase that justifies the contextual
``cvss_breakdown``.
"""
(
http_exchange_ids,
http_exchange_errors,
http_exchange_warning,
) = await _verify_http_exchange_ids(ctx, http_exchange_ids)
if http_exchange_errors:
return json.dumps(
{
"success": False,
"error": "Validation failed",
"errors": http_exchange_errors,
},
ensure_ascii=False,
default=str,
)
fields = {
"title": title,
"description": description,
"impact": impact,
"target": target,
"technical_analysis": technical_analysis,
"poc_description": poc_description,
"poc_script_code": poc_script_code,
"remediation_steps": remediation_steps,
"evidence": evidence,
"assumptions": assumptions,
"counterevidence": counterevidence,
"confidence": confidence,
"confidence_rationale": confidence_rationale,
"severity_change_conditions": severity_change_conditions,
"fix_effort": fix_effort,
"cvss_breakdown": cvss_breakdown,
"endpoint": endpoint,
"method": method,
"cve": cve,
"cwe": cwe,
"code_locations": code_locations,
"http_exchange_ids": http_exchange_ids,
"fix_verification": fix_verification,
"fix_pr_body": fix_pr_body,
"contextual_cvss_reasoning": contextual_cvss_reasoning,
}
if http_exchange_warning and all(value is None for value in fields.values()):
return json.dumps(
{"success": False, "error": http_exchange_warning, "report_id": report_id},
ensure_ascii=False,
default=str,
)
agent_id, agent_name = _caller_identity(ctx)
result = await asyncio.to_thread(
_do_update,
report_id=report_id,
update_reason=update_reason,
fields={
"title": title,
"description": description,
"impact": impact,
"target": target,
"technical_analysis": technical_analysis,
"poc_description": poc_description,
"poc_script_code": poc_script_code,
"remediation_steps": remediation_steps,
"evidence": evidence,
"assumptions": assumptions,
"counterevidence": counterevidence,
"confidence": confidence,
"confidence_rationale": confidence_rationale,
"severity_change_conditions": severity_change_conditions,
"fix_effort": fix_effort,
"cvss_breakdown": cvss_breakdown,
"endpoint": endpoint,
"method": method,
"cve": cve,
"cwe": cwe,
"code_locations": code_locations,
"fix_verification": fix_verification,
"fix_pr_body": fix_pr_body,
"contextual_cvss_reasoning": contextual_cvss_reasoning,
},
fields=fields,
agent_id=agent_id,
agent_name=agent_name,
)
return json.dumps(result, ensure_ascii=False, default=str)
return json.dumps(_with_warning(result, http_exchange_warning), ensure_ascii=False, default=str)
_DEP_SEVERITY_FROM_CVSS = {
@@ -1747,9 +1929,15 @@ async def _do_create_dependency( # noqa: PLR0912
agent_id=agent_id if isinstance(agent_id, str) else None,
agent_name=agent_name if isinstance(agent_name, str) else None,
)
except (ImportError, AttributeError) as e:
except Exception as e:
logger.exception("create_dependency_report persistence failed")
return {"success": False, "error": f"Failed to create dependency report: {e!s}"}
return {
"success": False,
"error": (
f"Failed to create dependency report: {e!s}. "
"The finding was not stored; file it again."
),
}
else:
logger.info(
"Dependency report created: id=%s cve=%s package=%s severity=%s",

View File

@@ -1,11 +1,12 @@
"""``web_search`` — Perplexity-backed security-focused web search."""
"""Security-focused web research tools (Exa or Perplexity)."""
from __future__ import annotations
import asyncio
import json
import logging
from typing import Any
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import urlsplit, urlunsplit
import requests
from agents import RunContextWrapper, function_tool
@@ -13,6 +14,10 @@ from agents import RunContextWrapper, function_tool
from strix.config import load_settings
if TYPE_CHECKING:
from collections.abc import Callable
logger = logging.getLogger(__name__)
@@ -41,22 +46,7 @@ Structure your response to be comprehensive yet concise, emphasizing the most cr
security implications and details."""
def _do_search(query: str) -> dict[str, Any]: # noqa: PLR0911 - each error class needs its own sanitized return
if not query or not query.strip():
return {"success": False, "error": "Query cannot be empty"}
api_key = load_settings().integrations.perplexity_api_key
if not api_key:
logger.warning("web_search invoked without PERPLEXITY_API_KEY configured")
return {
"success": False,
"error": (
"Web search is not configured for this scan "
"(operator needs to set PERPLEXITY_API_KEY). Proceed without it"
),
}
logger.info("web_search query (len=%d): %s", len(query), query[:120])
def _perplexity_content(api_key: str, query: str) -> str:
url = "https://api.perplexity.ai/chat/completions"
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
@@ -66,61 +56,269 @@ def _do_search(query: str) -> dict[str, Any]: # noqa: PLR0911 - each error clas
{"role": "user", "content": query},
],
}
with requests.post(url, headers=headers, json=payload, timeout=300) as response:
response.raise_for_status()
return str(response.json()["choices"][0]["message"]["content"])
_EXA_PAGE_MAX_CHARS = 20000
_EXA_MAX_CONTENT_URLS = 10
_EXA_SUMMARY_PROMPT = (
"Summarize this page for a penetration tester. Keep concrete technical detail: "
"affected products and exact versions, CVE and CWE identifiers, CVSS scores, "
"exploitation preconditions, payloads or commands, and mitigations. "
"Leave out marketing copy and navigation text."
)
def _exa_result_block(result: dict[str, Any]) -> str | None:
result_url = str(result.get("url") or result.get("id") or "")
if not result_url:
return None
title = str(result.get("title") or result_url)
parts = [f"### {title}\n{result_url}"]
summary = str(result.get("summary") or "").strip()
if summary:
parts.append(summary)
return "\n".join(parts)
def _exa_page_block(result: dict[str, Any]) -> str | None:
result_url = str(result.get("url") or result.get("id") or "")
text = str(result.get("text") or "").strip()
if not result_url or not text:
return None
if len(text) > _EXA_PAGE_MAX_CHARS:
text = f"{text[:_EXA_PAGE_MAX_CHARS]}\n[truncated at {_EXA_PAGE_MAX_CHARS} characters]"
title = str(result.get("title") or result_url)
return f"### {title}\n{result_url}\n\n{text}"
def _exa_blocks(
results: list[Any],
render: Callable[[dict[str, Any]], str | None],
) -> list[str]:
blocks: list[str] = []
for result in results:
if not isinstance(result, dict):
continue
block = render(cast("dict[str, Any]", result))
if block:
blocks.append(block)
return blocks
def _exa_post(api_key: str, endpoint: str, payload: dict[str, Any]) -> dict[str, Any]:
headers = {"x-api-key": api_key, "Content-Type": "application/json"}
with requests.post(endpoint, headers=headers, json=payload, timeout=300) as response:
response.raise_for_status()
body: dict[str, Any] = response.json()
return body
def _exa_content(api_key: str, query: str, search_type: str, num_results: int) -> str:
body = _exa_post(
api_key,
"https://api.exa.ai/search",
{
"query": query,
"type": search_type,
"numResults": num_results,
"contents": {"summary": {"query": _EXA_SUMMARY_PROMPT}},
},
)
blocks = _exa_blocks(body.get("results") or [], _exa_result_block)
if not blocks:
raise ValueError("Exa response has no results")
return "\n\n".join(blocks)
def _normalize_url(url: str) -> str:
"""Canonical form for matching: case-fold scheme and host only, drop a trailing slash."""
parts = urlsplit(url.strip())
return urlunsplit(
(parts.scheme.lower(), parts.netloc.lower(), parts.path.rstrip("/"), parts.query, "")
)
def _exa_page_text(api_key: str, urls: list[str]) -> tuple[str, set[str]]:
"""Fetch page text and report which of the requested URLs Exa returned."""
body = _exa_post(api_key, "https://api.exa.ai/contents", {"urls": urls, "text": True})
blocks: list[str] = []
fetched: set[str] = set()
results: list[Any] = body.get("results") or []
for result in results:
if not isinstance(result, dict):
continue
page = cast("dict[str, Any]", result)
block = _exa_page_block(page)
if not block:
continue
blocks.append(block)
fetched.add(_normalize_url(str(page.get("url") or page.get("id") or "")))
if not blocks:
raise ValueError("Exa returned no page contents")
return "\n\n".join(blocks), fetched
def _resolve_provider( # noqa: PLR0911 - each provider/missing-key case needs its own return
integrations: Any,
) -> tuple[str, str] | dict[str, Any]:
"""Pick the search provider and its key, or return a sanitized error dict."""
provider = integrations.web_search_provider
perplexity_key = integrations.perplexity_api_key
exa_key = integrations.exa_api_key
if provider == "perplexity":
if not perplexity_key:
return _not_configured_error("PERPLEXITY_API_KEY")
return ("perplexity", perplexity_key)
if provider == "exa":
if not exa_key:
return _not_configured_error("EXA_API_KEY")
return ("exa", exa_key)
if exa_key:
return ("exa", exa_key)
if perplexity_key:
return ("perplexity", perplexity_key)
return _not_configured_error("EXA_API_KEY or PERPLEXITY_API_KEY")
def _not_configured_error(missing: str) -> dict[str, Any]:
logger.warning("web_search invoked without %s configured", missing)
return {
"success": False,
"error": (
"Web search is not configured for this scan "
f"(operator needs to set {missing}). Proceed without it"
),
}
def _guarded_call[T]( # noqa: PLR0911 - each error class needs its own sanitized return
tool: str,
rejected_hint: str,
fetch: Callable[[], T],
) -> T | dict[str, Any]:
"""Run a provider call and translate any failure into a sanitized error dict."""
try:
with requests.post(url, headers=headers, json=payload, timeout=300) as response:
response.raise_for_status()
content = response.json()["choices"][0]["message"]["content"]
return fetch()
except requests.exceptions.Timeout:
logger.warning("web_search timed out")
return {
"success": False,
"error": "Web search timed out. Try again or shorten the query",
}
logger.warning("%s timed out", tool)
return {"success": False, "error": f"{tool} timed out. Try again or narrow the request"}
except requests.exceptions.HTTPError as exc:
status = exc.response.status_code if exc.response is not None else None
logger.exception("web_search HTTP error status=%s", status)
logger.exception("%s HTTP error status=%s", tool, status)
if status is not None and 400 <= status < 500:
return {
"success": False,
"error": (
"Web search rejected the query. Refine it "
"(more specific, shorter, no unusual characters) and retry"
),
}
return {
"success": False,
"error": "Web search service is unavailable. Try again later",
}
return {"success": False, "error": rejected_hint}
return {"success": False, "error": f"{tool} service is unavailable. Try again later"}
except requests.exceptions.RequestException:
logger.exception("web_search network error")
return {
"success": False,
"error": "Web search network error. Try again later",
}
logger.exception("%s network error", tool)
return {"success": False, "error": f"{tool} network error. Try again later"}
except (KeyError, IndexError, ValueError):
logger.exception("web_search response shape unexpected")
return {
"success": False,
"error": "Web search returned an unexpected response. Try again",
}
logger.exception("%s response shape unexpected", tool)
return {"success": False, "error": f"{tool} returned an unexpected response. Try again"}
except Exception:
logger.exception("web_search failed")
logger.exception("%s failed", tool)
return {"success": False, "error": f"{tool} failed unexpectedly"}
def _do_search(query: str) -> dict[str, Any]:
if not query or not query.strip():
return {"success": False, "error": "Query cannot be empty"}
integrations = load_settings().integrations
resolved = _resolve_provider(integrations)
if isinstance(resolved, dict):
return resolved
provider, api_key = resolved
logger.info("web_search provider=%s query (len=%d): %s", provider, len(query), query[:120])
def fetch() -> str:
if provider == "exa":
return _exa_content(
api_key,
query,
integrations.exa_search_type,
integrations.exa_num_results,
)
return _perplexity_content(api_key, query)
outcome = _guarded_call(
"Web search",
(
"Web search rejected the query. Refine it "
"(more specific, shorter, no unusual characters) and retry"
),
fetch,
)
if isinstance(outcome, dict):
return outcome
return {
"success": True,
"query": query,
"provider": provider,
"content": outcome,
}
def _do_get_contents(urls: list[str]) -> dict[str, Any]:
cleaned = [url.strip() for url in urls if url and url.strip()]
if not cleaned:
return {"success": False, "error": "Provide at least one URL"}
if len(cleaned) > _EXA_MAX_CONTENT_URLS:
return {
"success": False,
"error": "Web search failed unexpectedly",
"error": f"Too many URLs. Pass at most {_EXA_MAX_CONTENT_URLS} per call",
}
else:
integrations = load_settings().integrations
api_key = integrations.exa_api_key
if not api_key:
return _not_configured_error("EXA_API_KEY")
if integrations.web_search_provider == "perplexity":
logger.warning("web_get_contents invoked while the provider is pinned to Perplexity")
return {
"success": True,
"query": query,
"content": content,
"success": False,
"error": (
"Page fetching needs the Exa provider "
"(operator pinned STRIX_WEB_SEARCH_PROVIDER to perplexity). "
"Use web_search instead"
),
}
logger.info("web_get_contents urls=%d", len(cleaned))
outcome = _guarded_call(
"Page fetch",
"Page fetch was rejected. Check the URLs are complete, public, and correctly formed",
lambda: _exa_page_text(api_key, cleaned),
)
if isinstance(outcome, dict):
return outcome
content, fetched = outcome
missing = [url for url in cleaned if _normalize_url(url) not in fetched]
result: dict[str, Any] = {
"success": True,
"urls": [url for url in cleaned if url not in missing],
"provider": "exa",
"content": content,
}
if missing:
logger.warning(
"web_get_contents returned %d of %d pages", len(cleaned) - len(missing), len(cleaned)
)
result["failed_urls"] = missing
result["warning"] = (
f"Exa returned no content for {len(missing)} of {len(cleaned)} requested URLs. "
"Those pages are missing from the content below"
)
return result
@function_tool(timeout=330)
async def web_search(ctx: RunContextWrapper, query: str) -> str:
"""Real-time web search via Perplexity — your primary research tool.
"""Real-time web search (Exa or Perplexity) — your primary research tool.
Use it liberally for anything that's not in your training data:
@@ -150,6 +348,12 @@ async def web_search(ctx: RunContextWrapper, query: str) -> str:
exploits, Kali-compatible tooling, and concrete code/command
examples.
With the Exa provider you get a ranked list of results, each with a
title, URL, and a short security-focused summary. Read the result
you need, then call ``web_get_contents`` with its URL to pull the
full page text when a summary is not enough. With Perplexity you get
a single synthesized cited answer.
**Good example queries** (each is a full sentence, names a
version/product, and asks one concrete thing):
@@ -177,3 +381,33 @@ async def web_search(ctx: RunContextWrapper, query: str) -> str:
"""
result = await asyncio.to_thread(_do_search, query)
return json.dumps(result, ensure_ascii=False, default=str)
@function_tool(timeout=330)
async def web_get_contents(ctx: RunContextWrapper, urls: list[str]) -> str:
"""Fetch the full, cleaned text of specific web pages (Exa only).
Use this as the drill-down step after ``web_search``: when a result's
summary is not enough, pass that result's URL here to read the whole
page. Good for reading a full advisory, a CVE writeup,
an exploit proof-of-concept, or vendor documentation end to end.
Prefer ``web_search`` first to find the right pages, then fetch only
the few URLs worth reading in full — each page can be large, so avoid
fetching many pages you do not need.
This tool needs the Exa provider (``EXA_API_KEY``). When the operator
pins the provider to Perplexity, it returns an error and you should
use ``web_search`` instead.
Some pages block extraction. When a page returns no content, the
result lists it under ``failed_urls`` and the ``content`` field holds
only the pages that came back. Check ``failed_urls`` before you
conclude that a page had nothing useful.
Args:
urls: The page URLs to fetch, at most 10 per call. Use complete,
public URLs (for example the ones returned by ``web_search``).
"""
result = await asyncio.to_thread(_do_get_contents, urls)
return json.dumps(result, ensure_ascii=False, default=str)

View File

@@ -0,0 +1,258 @@
"""Tests for parent/child coordination once a non-interactive child has finished.
A non-interactive agent's loop returns after its terminal state, so nothing will
ever read a message sent to it afterwards. Messaging it must say so instead of
reporting delivery, waiting on it must return at once, and its completion report
must carry the ids of the reports it actually filed so the parent does not have
to go asking.
"""
from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any, cast
import pytest
from agents.tool_context import ToolContext
from strix.core.agents import AgentCoordinator
from strix.report.state import ReportState, set_global_report_state
from strix.tools.agents_graph.tools import agent_finish, send_message_to_agent, wait_for_agents
if TYPE_CHECKING:
from collections.abc import Iterator
from pathlib import Path
@pytest.fixture
def report_state(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[ReportState]:
monkeypatch.chdir(tmp_path)
state = ReportState(run_name="test-run")
set_global_report_state(state)
yield state
set_global_report_state(None)
async def _graph(*, interactive: bool) -> AgentCoordinator:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.register("child", "Validator", parent_id="root")
await coordinator.attach_runtime("root", resumable=interactive)
await coordinator.attach_runtime("child", resumable=interactive)
return coordinator
async def _call(
tool: Any, coordinator: AgentCoordinator, agent_id: str, args: dict[str, Any], **extra: Any
) -> dict[str, Any]:
ctx = ToolContext(
context={"coordinator": coordinator, "agent_id": agent_id, **extra},
tool_name=tool.name,
tool_call_id="call-1",
tool_arguments="{}",
)
raw: str = await tool.on_invoke_tool(ctx, json.dumps(args))
return cast("dict[str, Any]", json.loads(raw))
# --- send_message_to_agent -------------------------------------------------------
@pytest.mark.asyncio
async def test_message_to_finished_non_interactive_child_is_not_delivered() -> None:
coordinator = await _graph(interactive=False)
await coordinator.set_status("child", "completed")
result = await _call(
send_message_to_agent,
coordinator,
"root",
{"target_agent_id": "child", "message": "did you file it?", "message_type": "query"},
)
assert result["success"] is False
assert result["delivery_status"] == "not_delivered"
assert result["target_status"] == "completed"
assert "list_reports" in result["error"]
assert coordinator.pending_counts.get("child", 0) == 0
assert coordinator.runtimes["child"].mailbox == []
@pytest.mark.asyncio
@pytest.mark.parametrize("status", ["stopped", "failed", "crashed"])
async def test_every_terminal_non_interactive_status_is_unreachable(status: str) -> None:
coordinator = await _graph(interactive=False)
await coordinator.set_status("child", status)
assert await coordinator.send("child", {"from": "root", "content": "hi"}) is False
assert await coordinator.reachability("child") == (False, status)
@pytest.mark.asyncio
@pytest.mark.parametrize("status", ["running", "waiting"])
async def test_message_to_live_child_is_delivered(status: str) -> None:
coordinator = await _graph(interactive=False)
await coordinator.set_status("child", status)
result = await _call(
send_message_to_agent,
coordinator,
"root",
{"target_agent_id": "child", "message": "wrap up"},
)
assert result["success"] is True
assert result["delivery_status"] == "delivered"
assert coordinator.pending_counts["child"] == 1
@pytest.mark.asyncio
async def test_message_to_finished_interactive_child_still_wakes_it() -> None:
# An interactive loop parks after finishing and resumes on a message.
coordinator = await _graph(interactive=True)
await coordinator.set_status("child", "completed")
result = await _call(
send_message_to_agent,
coordinator,
"root",
{"target_agent_id": "child", "message": "one more thing"},
)
assert result["success"] is True
assert coordinator.pending_counts["child"] == 1
@pytest.mark.asyncio
async def test_unknown_target_is_reported_as_not_found() -> None:
coordinator = await _graph(interactive=False)
result = await _call(
send_message_to_agent,
coordinator,
"root",
{"target_agent_id": "ghost", "message": "hello"},
)
assert result["success"] is False
assert result["target_status"] is None
assert "not found" in result["error"]
# --- wait_for_agents -------------------------------------------------------------
@pytest.mark.asyncio
async def test_wait_returns_at_once_when_no_child_can_answer() -> None:
coordinator = await _graph(interactive=False)
await coordinator.set_status("child", "completed")
# The completion report was already consumed in an earlier turn.
result = await _call(
wait_for_agents,
coordinator,
"root",
{"reason": "waiting for validator", "timeout_seconds": 240},
)
assert result["wait_outcome"] == "no_active_agents"
assert result["agents"] == [{"agent_id": "child", "name": "Validator", "status": "completed"}]
assert coordinator.statuses["root"] == "running"
@pytest.mark.asyncio
async def test_wait_delivers_a_pending_report_before_checking_liveness() -> None:
coordinator = await _graph(interactive=False)
await coordinator.send("root", {"from": "child", "type": "completion", "content": "done"})
await coordinator.set_status("child", "completed")
result = await _call(wait_for_agents, coordinator, "root", {"timeout_seconds": 5})
assert result["wait_outcome"] == "message_arrived"
assert result["pending_messages"] == 1
@pytest.mark.asyncio
async def test_wait_still_parks_while_a_child_is_running() -> None:
coordinator = await _graph(interactive=False)
result = await _call(wait_for_agents, coordinator, "root", {"timeout_seconds": 1})
assert result["wait_outcome"] == "timeout"
@pytest.mark.asyncio
async def test_interactive_wait_parks_even_without_active_children() -> None:
# In an interactive run a finished child can be woken later, so parking is
# legitimate; the run loop's own auto-resume bounds the wait.
coordinator = await _graph(interactive=True)
await coordinator.set_status("child", "completed")
result = await _call(
wait_for_agents, coordinator, "root", {"timeout_seconds": 5}, interactive=True
)
assert result["wait_outcome"] == "waiting"
# --- agent_finish ----------------------------------------------------------------
@pytest.mark.asyncio
async def test_agent_finish_lists_the_reports_the_child_filed(report_state: ReportState) -> None:
coordinator = await _graph(interactive=False)
mine = report_state.add_vulnerability_report(
title="IDOR on /api/audits", severity="high", agent_id="child", agent_name="Validator"
)
report_state.add_vulnerability_report(title="Root's own", severity="low", agent_id="root")
result = await _call(
agent_finish,
coordinator,
"child",
{"result_summary": "confirmed", "findings": ["IDOR confirmed"]},
parent_id="root",
)
assert result["filed_report_ids"] == [mine]
delivered = coordinator.runtimes["root"].mailbox
assert len(delivered) == 1
assert delivered[0]["filed_report_ids"] == [mine]
body = delivered[0]["content"]
assert f"- {mine} [HIGH] IDOR on /api/audits" in body
assert "Root's own" not in body
@pytest.mark.asyncio
async def test_agent_finish_states_explicitly_when_nothing_was_filed(
report_state: ReportState,
) -> None:
coordinator = await _graph(interactive=False)
report_state.add_vulnerability_report(title="Someone else's", severity="low", agent_id="root")
result = await _call(
agent_finish,
coordinator,
"child",
{"result_summary": "nothing exploitable", "findings": ["ruled out X"]},
parent_id="root",
)
assert result["filed_report_ids"] == []
body = coordinator.runtimes["root"].mailbox[0]["content"]
assert "Vulnerability reports filed by this agent" in body
assert body.index("filed by this agent") < body.index("- (none)")
@pytest.mark.asyncio
async def test_agent_finish_without_report_state_still_completes() -> None:
set_global_report_state(None)
coordinator = await _graph(interactive=False)
result = await _call(
agent_finish, coordinator, "child", {"result_summary": "done"}, parent_id="root"
)
assert result["success"] is True
assert result["filed_report_ids"] == []

View File

@@ -534,6 +534,69 @@ def test_insufficient_credits_exits_with_payment_code(monkeypatch: pytest.Monkey
assert cloud.run_cloud(["scans", "start", "--domain-ids", "d1"]) == http.EXIT_PAYMENT
def test_insufficient_credits_always_prints_topup_instruction(
monkeypatch: pytest.MonkeyPatch, capsys: Any
) -> None:
monkeypatch.setattr(
http,
"request",
lambda *_a, **_k: FakeResponse(
status_code=402,
payload={"detail": "Out of credits.", "code": "scan_credit_limit_reached"},
),
)
monkeypatch.setattr(sys.stdout, "isatty", lambda: True)
argv = ["scans", "start", "--domain-ids", "d1", "--app-url", "https://app.strix.ai"]
assert cloud.run_cloud(argv) == http.EXIT_PAYMENT
output = " ".join(capsys.readouterr().out.split())
assert "Error: Out of credits." in output
assert "Next step:" in output
assert "strix cloud billing topup --credits <count>" in output
assert "https://app.strix.ai/settings/billing" in output
assert "strix cloud billing credits" in output
def test_insufficient_credits_shows_platform_hint_once(
monkeypatch: pytest.MonkeyPatch, capsys: Any
) -> None:
hint = "Buy credits at https://app.strix.ai/settings/billing. Then retry this request."
payload = {
"detail": f"Out of credits. {hint}",
"code": "scan_credit_limit_reached",
"hint": hint,
"topup_url": "https://app.strix.ai/settings/billing",
}
monkeypatch.setattr(
http, "request", lambda *_a, **_k: FakeResponse(status_code=402, payload=payload)
)
assert cloud.run_cloud(["scans", "start", "--domain-ids", "d1", "--json"]) == http.EXIT_PAYMENT
result = json.loads(capsys.readouterr().out)
assert result["error"] == "Out of credits."
assert result["next_step"] == hint
assert result["topup_url"] == "https://app.strix.ai/settings/billing"
monkeypatch.setattr(sys.stdout, "isatty", lambda: True)
assert cloud.run_cloud(["scans", "start", "--domain-ids", "d1"]) == http.EXIT_PAYMENT
output = " ".join(capsys.readouterr().out.split())
assert output.count(hint) == 1
assert "Error: Out of credits." in output
assert f"Next step: {hint}" in output
def test_payment_required_without_body_names_the_topup_command(
monkeypatch: pytest.MonkeyPatch, capsys: Any
) -> None:
monkeypatch.setattr(
http, "request", lambda *_a, **_k: FakeResponse(status_code=402, payload={})
)
argv = ["scans", "start", "--domain-ids", "d1", "--json", "--app-url", "https://app.strix.ai"]
assert cloud.run_cloud(argv) == http.EXIT_PAYMENT
result = json.loads(capsys.readouterr().out)
assert result["error"] == "Not enough credits to run this command."
assert "strix cloud billing topup --credits <count>" in result["next_step"]
assert "https://app.strix.ai/settings/billing" in result["next_step"]
def test_data_rejects_non_object() -> None:
assert cloud.run_cloud(["scans", "start", "--data", "[1,2]"]) == http.EXIT_USAGE
assert cloud.run_cloud(["scans", "start", "--data", "not json"]) == http.EXIT_USAGE

View File

@@ -655,3 +655,44 @@ def test_incomplete_upload_credentials_delete_the_reserved_upload(
monkeypatch.setattr(http, "request", fake_request)
assert cloud.run_cloud(["scans", "start", "--source", str(tmp_path), "--yes", "--json"]) == 1
assert ("DELETE", "/uploads/upload-incomplete") in paths
def test_archive_source_is_rejected_with_directory_guidance(tmp_path: Path) -> None:
archive = tmp_path / "backend.zip"
with zipfile.ZipFile(archive, "w") as bundle:
bundle.writestr("app.py", "print('safe')\n")
with pytest.raises(http.CloudError, match="not an archive") as raised:
source_upload.prepare_source(
str(archive),
include_hidden=False,
include_sensitive=False,
include_archives=False,
exclude=[],
)
assert raised.value.next_step is not None
assert "--source" in raised.value.next_step
assert "--dry-run --show-files" in raised.value.next_step
def test_oversize_archive_names_largest_files_and_exclude_guidance(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
(tmp_path / "app.py").write_text("print('safe')\n", encoding="utf-8")
(tmp_path / "big.bin").write_bytes(os.urandom(4096))
monkeypatch.setattr(source_upload, "MAX_ARCHIVE_BYTES", 1024)
with pytest.raises(http.CloudError, match=r"larger than the 0\.0 MiB upload limit") as raised:
source_upload.prepare_source(
str(tmp_path),
include_hidden=False,
include_sensitive=False,
include_archives=False,
exclude=[],
)
message = str(raised.value)
assert message.index("big.bin") < message.index("app.py")
assert raised.value.next_step is not None
assert "--exclude" in raised.value.next_step
assert "--dry-run --show-files" in raised.value.next_step
assert not list(tmp_path.glob("strix-source-*.zip"))

View File

@@ -30,6 +30,8 @@ _LLM_ENV_KEYS = [
"STRIX_FORCE_REQUIRED_TOOL_CHOICE",
"LLM_TIMEOUT",
"PERPLEXITY_API_KEY",
"EXA_API_KEY",
"STRIX_WEB_SEARCH_PROVIDER",
# RuntimeSettings
"STRIX_IMAGE",
"STRIX_RUNTIME_BACKEND",
@@ -80,6 +82,17 @@ def test_read_json_overrides_maps_to_nested_settings(tmp_path: Path) -> None:
}
def test_read_json_overrides_maps_exa_and_provider(tmp_path: Path) -> None:
path = tmp_path / "cli-config.json"
path.write_text(
json.dumps({"env": {"EXA_API_KEY": "exa-key", "STRIX_WEB_SEARCH_PROVIDER": "exa"}}),
encoding="utf-8",
)
assert loader._read_json_overrides(path) == {
"integrations": {"exa_api_key": "exa-key", "web_search_provider": "exa"},
}
def test_read_json_overrides_skips_keys_already_in_environ(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
@@ -208,6 +221,191 @@ def test_persist_current_writes_env_block(tmp_path: Path, monkeypatch: pytest.Mo
}
def test_persist_current_keeps_file_values_when_env_is_unset(tmp_path: Path) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
assert loader.load_settings().llm.model == "file-model"
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {
"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}
}
def test_persist_current_env_overrides_file_value(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "PERPLEXITY_API_KEY": "file-pplx"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("PERPLEXITY_API_KEY", "env-pplx")
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {
"env": {"STRIX_LLM": "file-model", "PERPLEXITY_API_KEY": "env-pplx"}
}
def test_linked_llm_model_change_drops_stored_key_and_base(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps(
{
"env": {
"STRIX_LLM": "file-model",
"LLM_API_KEY": "file-key",
"LLM_API_BASE": "http://file-base",
"PERPLEXITY_API_KEY": "pplx",
}
}
),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("STRIX_LLM", "env-model")
llm = loader.load_settings().llm
assert llm.model == "env-model"
assert llm.api_key is None
assert llm.api_base is None
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {
"env": {"STRIX_LLM": "env-model", "PERPLEXITY_API_KEY": "pplx"}
}
def test_linked_llm_key_change_drops_stored_model(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("LLM_API_KEY", "new-key")
assert loader.load_settings().llm.model is None
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"LLM_API_KEY": "new-key"}}
def test_linked_llm_secondary_alias_in_env_is_not_a_change(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("LLM_API_KEY", "file-key")
monkeypatch.setenv("OPENAI_API_KEY", "unrelated-global-key")
llm = loader.load_settings().llm
assert llm.model == "file-model"
assert llm.api_key == "file-key"
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {
"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}
}
def test_linked_llm_unchanged_env_keeps_stored_key(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("STRIX_LLM", "file-model")
assert loader.load_settings().llm.api_key == "file-key"
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {
"env": {"STRIX_LLM": "file-model", "LLM_API_KEY": "file-key"}
}
def test_persist_current_env_alias_replaces_other_alias_in_file(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(json.dumps({"env": {"OPENAI_API_KEY": "old-key"}}), encoding="utf-8")
loader.apply_config_override(target)
monkeypatch.setenv("LLM_API_KEY", "new-key")
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"LLM_API_KEY": "new-key"}}
def test_persist_current_empty_env_clears_file_value(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"STRIX_LLM": "file-model", "PERPLEXITY_API_KEY": "pplx"}}),
encoding="utf-8",
)
loader.apply_config_override(target)
monkeypatch.setenv("PERPLEXITY_API_KEY", "")
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"STRIX_LLM": "file-model"}}
def test_persist_current_empty_primary_alias_does_not_save_sibling(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text(json.dumps({"env": {"PERPLEXITY_API_KEY": "pplx"}}), encoding="utf-8")
loader.apply_config_override(target)
monkeypatch.setenv("LLM_API_KEY", "")
monkeypatch.setenv("OPENAI_API_KEY", "sibling-key")
assert loader.load_settings().llm.api_key == ""
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"PERPLEXITY_API_KEY": "pplx"}}
def test_persist_current_replaces_corrupt_file(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
target = tmp_path / "cli-config.json"
target.write_text("{not json", encoding="utf-8")
loader.apply_config_override(target)
monkeypatch.setenv("STRIX_LLM", "env-model")
loader.persist_current()
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"STRIX_LLM": "env-model"}}
def test_persist_current_sets_0600_mode(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("STRIX_LLM", "persisted-model")
target = tmp_path / "cli-config.json"

View File

@@ -114,7 +114,14 @@ def test_config_file_loads_dedupe_model(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
for key in ("STRIX_LLM", "STRIX_DEDUPE_MODEL", "STRIX_DEDUPE_REASONING_EFFORT"):
for key in (
"STRIX_LLM",
"LLM_API_KEY",
"OPENAI_API_KEY",
"LLM_API_BASE",
"STRIX_DEDUPE_MODEL",
"STRIX_DEDUPE_REASONING_EFFORT",
):
monkeypatch.delenv(key, raising=False)
path = tmp_path / "config.json"
path.write_text(

View File

@@ -19,6 +19,7 @@ from strix.config.settings import DEFAULT_MAX_TURNS
from strix.interface.tui import runtime as go_tui
from strix.interface.tui import sidecar
from strix.interface.tui.runtime import GoTuiRuntime
from strix.report.state import ReportState
def args() -> argparse.Namespace:
@@ -1027,3 +1028,29 @@ async def test_prepare_and_start_runs_the_scan_after_preparation(
assert order == ["preflight", "persist", "prepare", "telemetry", "state", "scan"]
assert runtime.controller.scan_state == "running"
def test_sync_fingerprint_tracks_report_revisions(tmp_path: Path) -> None:
runtime = GoTuiRuntime(args())
runtime.report_state = ReportState(run_name="test-run")
runtime.report_state.vulnerability_reports = [{"id": "vuln-0001", "title": "Old title"}]
runtime.report_state.get_run_dir = lambda: tmp_path # type: ignore[method-assign]
report = runtime.report_state.vulnerability_reports[0]
timestamp = "2026-09-09 10:00:00 UTC"
before = runtime._runtime_sync_fingerprint()
report.update(
{
"title": "New title",
"updated_at": timestamp,
"update_history": [{"timestamp": timestamp, "fields": ["title"]}],
}
)
first_revision = runtime._runtime_sync_fingerprint()
assert first_revision != before
report["title"] = "Newer title"
report["update_history"].append({"timestamp": timestamp, "fields": ["title"]})
assert runtime._runtime_sync_fingerprint() != first_revision

View File

@@ -1,12 +1,10 @@
"""The import warm-up thread must never leave the import system poisoned.
"""The import warm-up thread must never race the main thread into the engine.
Field failure: the warm-up thread's ``strix.core.runner`` import and the main
thread's ``strix.report`` import both walked the agents SDK graph, and the two
held each other's import locks (report -> dedupe -> agents while runner ->
hooks -> report.state). CPython's deadlock avoidance breaks such a cycle by
failing one import, which strands finished submodules in ``sys.modules`` with
their parent package gone — and the next import of one of those submodules
crashes with "partially initialized module".
Two threads that enter the same package graph from different modules hold
each other's import locks (warm-up: ``strix.core.runner`` -> ``agents``;
main: ``agents.models.interface``). CPython breaks such a cycle by failing one
of the imports, so the main thread waits for the warm-up before its first
engine import.
"""
from __future__ import annotations
@@ -14,10 +12,16 @@ from __future__ import annotations
import subprocess
import sys
import textwrap
import threading
from typing import TYPE_CHECKING
from strix.llm import warmup
if TYPE_CHECKING:
import pytest
def _run(code: str) -> subprocess.CompletedProcess[str]:
return subprocess.run( # noqa: S603
[sys.executable, "-c", textwrap.dedent(code)],
@@ -56,44 +60,49 @@ def test_check_duplicate_resolves_lazily() -> None:
assert result.returncode == 0, result.stderr
def test_failed_warm_import_purges_orphaned_submodules() -> None:
def test_wait_for_import_warmup_lets_main_thread_import_the_agents_graph() -> None:
result = _run(
"""
import sys
from strix.llm.warmup import _warm
from strix.llm.warmup import start_import_warmup, wait_for_import_warmup
# A package whose import fails after a submodule already completed:
# CPython removes the package but leaves the submodule stranded.
import pathlib
import tempfile
# Same shape as the CLI: warm-up starts, then the main thread needs a
# module from the middle of the agents graph.
start_import_warmup()
wait_for_import_warmup()
root = pathlib.Path(tempfile.mkdtemp())
pkg = root / "stranded_pkg"
pkg.mkdir()
(pkg / "ok.py").write_text("VALUE = 1")
(pkg / "__init__.py").write_text("from . import ok\\nraise RuntimeError('boom')")
sys.path.insert(0, str(root))
from agents.models.interface import ModelTracing # noqa: F401
_warm(("stranded_pkg",))
assert "stranded_pkg" not in sys.modules
assert "stranded_pkg.ok" not in sys.modules, "orphan survived the purge"
# And the subtree imports cleanly afterwards up to the real error.
try:
import stranded_pkg # noqa: F401
except RuntimeError:
pass
else:
raise AssertionError("expected the package's own error")
assert "agents" in sys.modules
assert "agents.models" in sys.modules
assert "strix.core.runner" in sys.modules
"""
)
assert result.returncode == 0, result.stderr
def test_purge_does_not_touch_preexisting_or_healthy_modules() -> None:
before = frozenset(sys.modules) - {"strix.llm.warmup"}
warmup._purge_orphaned_modules(before)
assert "strix.llm.warmup" in sys.modules # parent chain intact -> kept
assert "strix" in sys.modules
def test_wait_for_import_warmup_blocks_until_the_thread_finishes(
monkeypatch: pytest.MonkeyPatch,
) -> None:
release = threading.Event()
monkeypatch.setattr(warmup, "_warm", lambda _modules: release.wait())
monkeypatch.setattr(warmup, "_thread", None)
warmup.start_import_warmup(())
waiter = threading.Thread(target=warmup.wait_for_import_warmup)
waiter.start()
waiter.join(0.2)
assert waiter.is_alive(), "returned before the warm-up finished"
release.set()
waiter.join(5)
assert not waiter.is_alive()
def test_failed_warm_import_does_not_raise() -> None:
warmup._warm(("strix_no_such_module_for_warmup_test",))
def test_wait_for_import_warmup_is_a_no_op_without_a_thread() -> None:
warmup.wait_for_import_warmup()

View File

@@ -2,20 +2,27 @@
from __future__ import annotations
import litellm
import pytest
from agents.extensions.models.litellm_model import LitellmModel
from agents.model_settings import ModelSettings
from agents.models import _openai_shared
from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel
from agents.models.openai_responses import OpenAIResponsesModel
from strix.config.models import (
RECOMMENDED_MODEL_NAMES,
StrixProvider,
_NonStreamingModel,
_TurnGuardModel,
configure_sdk_model_defaults,
is_recommended_or_frontier_model,
request_timeout_extra_args,
routes_through_litellm,
supports_strict_tool_schemas,
uses_chat_completions_tool_schema,
)
from strix.config.settings import Settings
@pytest.mark.parametrize("model_name", RECOMMENDED_MODEL_NAMES)
@@ -72,6 +79,21 @@ def test_recommended_models_are_matched_case_insensitively() -> None:
"moonshot/kimi-k2.6",
"kimi-k2.7-code",
"moonshot/kimi-k3",
"anthropic/claude-fable-5-1",
"vertex_ai/claude-fable-5-1@default",
"gemini/gemini-3.7-flash",
"glm-5.3",
"zai/glm-5.3-flash",
"openrouter/z-ai/glm-5.3",
"novita/zai-org/glm-5.2",
"openai/glm-5.3",
"openai/zai-org/glm-5.3",
"hosted_vllm/glm-5.3",
"openai/claude-opus-4-8",
"openai/deepseek-v4-pro",
"custom-ollama/gpt-5-mini-local",
"custom-provider/claude-opus-4-local",
"custom-provider/glm-5.3-local",
],
)
def test_frontier_model_families_are_accepted(model_name: str) -> None:
@@ -86,12 +108,13 @@ def test_frontier_model_families_are_accepted(model_name: str) -> None:
"anthropic/claude-3-5-sonnet-latest",
"ollama/llama3.1",
"deepseek/deepseek-chat",
"custom-ollama/gpt-5-mini-local",
"custom-provider/claude-opus-4-local",
"xai/grok-4.5",
"openrouter/x-ai/grok-4",
"mistral/mistral-medium-3-5",
"mistral/magistral-medium-latest",
"zai/glm-4.7",
"openai/glm-4.7",
"openrouter/z-ai/glm-5",
],
)
def test_non_frontier_models_are_rejected(model_name: str) -> None:
@@ -152,3 +175,46 @@ def test_routes_through_litellm_matches_the_provider(
while isinstance(model, _NonStreamingModel | _TurnGuardModel):
model = model._inner
assert isinstance(model, LitellmModel) is litellm
def test_api_type_override_settings(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("STRIX_LLM", "gpt-4")
monkeypatch.setenv("STRIX_API_TYPE", "chat_completions")
assert uses_chat_completions_tool_schema("gpt-4", Settings()) is True
monkeypatch.setenv("STRIX_LLM", "openai/gpt-4")
monkeypatch.setenv("STRIX_API_TYPE", "responses")
assert uses_chat_completions_tool_schema("openai/gpt-4", Settings()) is False
monkeypatch.setenv("STRIX_LLM", "anthropic/claude-sonnet-4-5")
assert uses_chat_completions_tool_schema("anthropic/claude-sonnet-4-5", Settings()) is True
@pytest.mark.parametrize(
("api_type", "expected"),
[
(None, OpenAIChatCompletionsModel),
("chat_completions", OpenAIChatCompletionsModel),
("responses", OpenAIResponsesModel),
],
)
def test_api_type_overrides_the_api_base_route(
monkeypatch: pytest.MonkeyPatch, api_type: str | None, expected: type
) -> None:
"""``LLM_API_BASE`` defaults to chat completions. ``STRIX_API_TYPE`` must win."""
monkeypatch.setattr(_openai_shared, "_use_responses_by_default", True)
monkeypatch.setattr(_openai_shared, "_default_openai_client", None)
monkeypatch.setattr(_openai_shared, "_default_openai_key", None)
monkeypatch.setattr(litellm, "api_key", None)
monkeypatch.setattr(litellm, "api_base", None)
monkeypatch.setenv("OPENAI_API_KEY", "test-key")
monkeypatch.setenv("OPENAI_BASE_URL", "")
monkeypatch.setenv("STRIX_LLM", "gpt-5")
monkeypatch.setenv("LLM_API_KEY", "test-key")
monkeypatch.setenv("LLM_API_BASE", "https://gateway.example/v1")
monkeypatch.delenv("STRIX_API_TYPE", raising=False)
if api_type is not None:
monkeypatch.setenv("STRIX_API_TYPE", api_type)
configure_sdk_model_defaults(Settings())
model = StrixProvider().get_model("gpt-5")
while isinstance(model, _NonStreamingModel | _TurnGuardModel):
model = model._inner
assert isinstance(model, expected)

View File

@@ -9,6 +9,7 @@ call at a time against the shared client.
from __future__ import annotations
import asyncio
from types import SimpleNamespace
from typing import TYPE_CHECKING, Any, cast
import pytest
@@ -227,3 +228,27 @@ async def test_ctx_client_degrades_when_bootstrap_failed() -> None:
handle = CaidoBootstrapHandle(asyncio.ensure_future(_bootstrap()))
assert await tools._ctx_client(cast("Any", _Ctx({"caido_client": handle}))) is None
async def test_existing_request_ids_queries_current_project(
monkeypatch: pytest.MonkeyPatch,
) -> None:
client = _FakeClient("host")
looked_up: list[str] = []
async def get_request_with_client(passed_client: Any, request_id: str) -> Any:
assert passed_client is client
looked_up.append(request_id)
if request_id == "1042":
return SimpleNamespace(request=SimpleNamespace(id="1042"))
return None
monkeypatch.setattr(caido_api, "get_request_with_client", get_request_with_client)
existing = await tools.existing_request_ids(
cast("Any", _Ctx({"caido_client": client})),
["1042", "1088"],
)
assert existing == {"1042"}
assert looked_up == ["1042", "1088"]

View File

@@ -2,9 +2,11 @@
from __future__ import annotations
from typing import TYPE_CHECKING, Any
import json
from typing import TYPE_CHECKING, Any, cast
import pytest
from agents.tool_context import ToolContext
from strix.report.dedupe import (
_check_dependency_duplicate,
@@ -13,10 +15,13 @@ from strix.report.dedupe import (
)
from strix.report.state import ReportState, set_global_report_state
from strix.tools.finish.tool import finish_scan
from strix.tools.reporting import tool as reporting_tool
from strix.tools.reporting.tool import (
_do_create,
_do_create_dependency,
_do_update,
_normalize_http_exchange_ids,
_verify_http_exchange_ids,
create_dependency_report,
create_vulnerability_report,
update_vulnerability_report,
@@ -115,6 +120,7 @@ async def test_create_report_persists_new_fields(report_state: ReportState) -> N
cve=None,
cwe="CWE-79",
code_locations=None,
http_exchange_ids=["1042", "1042", "1088"],
fix_pr_body="## Fix\nEncode output.",
)
assert result["success"] is True
@@ -127,6 +133,51 @@ async def test_create_report_persists_new_fields(report_state: ReportState) -> N
assert report["counterevidence"] == "No output encoding or CSP observed on this response."
assert report["confidence"] == "high"
assert report["severity_change_conditions"] == "A strict CSP would lower the severity."
assert report["http_exchange_ids"] == ["1042", "1088"]
def test_create_report_does_not_commit_when_callback_fails(
report_state: ReportState,
) -> None:
def fail_persistence(_report: dict[str, Any]) -> None:
raise RuntimeError("persistence failed")
report_state.vulnerability_found_callback = fail_persistence
with pytest.raises(RuntimeError, match="persistence failed"):
report_state.add_vulnerability_report(
title="Unstored finding",
severity="high",
http_exchange_ids=["1042"],
)
assert report_state.vulnerability_reports == []
def test_failed_revision_keeps_old_evidence_and_can_be_retried(
report_state: ReportState,
) -> None:
report_id = report_state.add_vulnerability_report(
title="Original finding", severity="high", http_exchange_ids=["1042"]
)
original = dict(report_state.vulnerability_reports[0])
def fail_persistence(revised: dict[str, Any]) -> None:
assert revised["http_exchange_ids"] == ["1088"]
assert report_state.vulnerability_reports[0] == original
raise RuntimeError("persistence failed")
report_state.vulnerability_updated_callback = fail_persistence
changes = {"title": "Revised finding", "http_exchange_ids": ["1088"]}
with pytest.raises(RuntimeError, match="persistence failed"):
report_state.update_vulnerability_report(report_id, changes)
assert report_state.vulnerability_reports[0] == original
report_state.vulnerability_updated_callback = None
revised = report_state.update_vulnerability_report(report_id, changes)
assert revised is not None
assert revised["http_exchange_ids"] == ["1088"]
assert len(revised["update_history"]) == 1
async def test_create_report_requires_evidence_and_assumptions(
@@ -1040,7 +1091,13 @@ def test_tool_descriptions_include_formatting_guidance() -> None:
def test_vuln_tool_exposes_new_params() -> None:
props = create_vulnerability_report.params_json_schema["properties"]
for field in ("evidence", "assumptions", "fix_effort", "fix_pr_body"):
for field in (
"evidence",
"assumptions",
"fix_effort",
"fix_pr_body",
"http_exchange_ids",
):
assert field in props
dep_props = create_dependency_report.params_json_schema["properties"]
@@ -1355,6 +1412,158 @@ def test_update_vulnerability_report_records_chained_impact(report_state: Report
assert report_state.update_vulnerability_report("vuln-0404", {"severity": "high"}) is None
def test_update_replaces_http_exchange_ids(report_state: ReportState) -> None:
_seed_weak_report(report_state)
result = _do_update(
report_id="vuln-0009",
update_reason="A replay produced a clearer proving exchange.",
fields={"http_exchange_ids": ["204", "204", "205"]},
)
assert result["success"] is True
assert report_state.vulnerability_reports[0]["http_exchange_ids"] == ["204", "205"]
async def test_create_rejects_invalid_http_exchange_ids(report_state: ReportState) -> None:
result = await _do_create(
**_CONFIRMED_KWARGS,
http_exchange_ids=["ok", "contains space"],
)
assert result["success"] is False
assert any("visible ASCII" in error for error in result["errors"])
assert report_state.vulnerability_reports == []
def test_http_exchange_id_limit_applies_after_deduplication() -> None:
request_ids, errors = _normalize_http_exchange_ids(["1042"] * 11)
assert errors == []
assert request_ids == ["1042"]
async def test_http_exchange_ids_must_exist_in_current_proxy_project(
monkeypatch: pytest.MonkeyPatch,
) -> None:
async def existing_request_ids(
_ctx: Any,
_request_ids: list[str],
) -> set[str]:
return {"1042"}
monkeypatch.setattr(reporting_tool, "existing_request_ids", existing_request_ids)
request_ids, errors, warning = await _verify_http_exchange_ids(
cast("Any", object()),
["1042", "1088"],
)
assert request_ids is None
assert errors == ["http_exchange_ids do not exist in the current proxy project: 1088"]
assert warning is None
async def test_http_exchange_ids_are_dropped_when_proxy_cannot_be_queried(
monkeypatch: pytest.MonkeyPatch,
) -> None:
async def existing_request_ids(
_ctx: Any,
_request_ids: list[str],
) -> set[str]:
raise RuntimeError("Caido client is not available")
monkeypatch.setattr(reporting_tool, "existing_request_ids", existing_request_ids)
request_ids, errors, warning = await _verify_http_exchange_ids(
cast("Any", object()),
["1042", "1042", "1088"],
)
assert request_ids is None
assert errors == []
assert warning is not None
assert "not stored" in warning
assert "update_vulnerability_report" in warning
async def test_create_reports_persistence_failure_as_tool_error(
report_state: ReportState,
) -> None:
def fail_persistence(_report: dict[str, Any]) -> None:
raise RuntimeError("persistence failed")
report_state.vulnerability_found_callback = fail_persistence
result = await _do_create(**_CONFIRMED_KWARGS, http_exchange_ids=["1042"])
assert result["success"] is False
assert "persistence failed" in result["error"]
assert "file it again" in result["error"]
assert report_state.vulnerability_reports == []
async def test_evidence_only_update_reports_proxy_outage_as_retryable(
report_state: ReportState,
monkeypatch: pytest.MonkeyPatch,
) -> None:
_seed_weak_report(report_state)
original = dict(report_state.vulnerability_reports[0])
async def existing_request_ids(
_ctx: Any,
_request_ids: list[str],
) -> set[str]:
raise RuntimeError("Caido client is not available")
monkeypatch.setattr(reporting_tool, "existing_request_ids", existing_request_ids)
ctx = ToolContext(
context={"agent_id": "root"},
tool_name="update_vulnerability_report",
tool_call_id="call-1",
tool_arguments="{}",
)
raw = await update_vulnerability_report.on_invoke_tool(
ctx,
json.dumps(
{
"report_id": "vuln-0009",
"update_reason": "A replay produced a clearer proving exchange.",
"http_exchange_ids": ["204"],
}
),
)
result = json.loads(raw)
assert result["success"] is False
assert "No fields to update" not in result["error"]
assert "update_vulnerability_report" in result["error"]
assert result["report_id"] == "vuln-0009"
assert report_state.vulnerability_reports[0] == original
def test_update_reports_persistence_failure_as_tool_error(report_state: ReportState) -> None:
_seed_weak_report(report_state)
original = dict(report_state.vulnerability_reports[0])
def fail_persistence(_report: dict[str, Any]) -> None:
raise RuntimeError("persistence failed")
report_state.vulnerability_updated_callback = fail_persistence
result = _do_update(
report_id="vuln-0009",
update_reason="A replay produced a clearer proving exchange.",
fields={"http_exchange_ids": ["204"]},
)
assert result["success"] is False
assert "persistence failed" in result["error"]
assert result["report_id"] == "vuln-0009"
assert report_state.vulnerability_reports[0] == original
def test_update_vulnerability_report_ignores_identical_content(report_state: ReportState) -> None:
_seed_weak_report(report_state)
assert report_state.update_vulnerability_report("vuln-0009", {"severity": "medium"}) is None

View File

@@ -0,0 +1,125 @@
"""Error beacons carry a category, phase, and exception class — never a message."""
from __future__ import annotations
from typing import Any
import pytest
import requests
from strix.report.state import ReportState
from strix.telemetry import posthog, report_error, scarf, set_scan_phase
from strix.telemetry._common import exception_props
PRIVATE_MESSAGE = "private message that must stay on the machine"
def _capture(sent: list[dict[str, Any]], event: str, props: dict[str, Any]) -> bool:
sent.append({"event": event, **props})
return True
def test_exception_props_uses_bare_name_for_builtins() -> None:
assert exception_props(ValueError(PRIVATE_MESSAGE)) == {"exception_type": "ValueError"}
def test_exception_props_prefixes_third_party_top_level_package() -> None:
props = exception_props(requests.exceptions.ConnectTimeout(PRIVATE_MESSAGE))
assert props == {"exception_type": "requests.ConnectTimeout"}
def _chained(cause: BaseException | None, *, explicit: bool) -> RuntimeError:
exc = RuntimeError("wrapped")
if explicit:
exc.__cause__ = cause
exc.__suppress_context__ = True
else:
exc.__context__ = cause
return exc
def test_exception_props_reports_explicit_cause() -> None:
props = exception_props(_chained(ConnectionError(PRIVATE_MESSAGE), explicit=True))
assert props == {"exception_type": "RuntimeError", "exception_cause": "ConnectionError"}
def test_exception_props_reports_implicit_context() -> None:
props = exception_props(_chained(KeyError("k"), explicit=False))
assert props["exception_cause"] == "KeyError"
def test_exception_props_ignores_suppressed_context() -> None:
exc = _chained(None, explicit=True)
exc.__context__ = KeyError("k")
assert exception_props(exc) == {"exception_type": "RuntimeError"}
def test_exception_props_unwraps_exception_group() -> None:
group = ExceptionGroup("tasks", [TimeoutError("t"), ValueError("v")])
assert exception_props(group) == {"exception_type": "TimeoutError"}
@pytest.mark.parametrize("telemetry", [posthog, scarf])
def test_error_event_carries_phase_and_class_but_no_message(
telemetry: Any,
monkeypatch: pytest.MonkeyPatch,
) -> None:
sent: list[dict[str, Any]] = []
monkeypatch.setattr(telemetry, "_send", lambda event, props: _capture(sent, event, props))
set_scan_phase("sandbox_init")
telemetry.error("scan_failed", RuntimeError(PRIVATE_MESSAGE))
assert len(sent) == 1
event = sent[0]
assert event["event"] == "error"
assert event["error_type"] == "scan_failed"
assert event["phase"] == "sandbox_init"
assert event["exception_type"] == "RuntimeError"
assert PRIVATE_MESSAGE not in repr(event)
@pytest.mark.parametrize("telemetry", [posthog, scarf])
def test_error_event_without_exception_omits_exception_fields(
telemetry: Any,
monkeypatch: pytest.MonkeyPatch,
) -> None:
sent: list[dict[str, Any]] = []
monkeypatch.setattr(telemetry, "_send", lambda event, props: _capture(sent, event, props))
set_scan_phase("startup")
telemetry.error("docker_not_installed")
assert sent[0]["error_type"] == "docker_not_installed"
assert sent[0]["phase"] == "startup"
assert "exception_type" not in sent[0]
assert "exception_cause" not in sent[0]
def test_report_error_fans_out_to_both_backends(monkeypatch: pytest.MonkeyPatch) -> None:
sent: list[dict[str, Any]] = []
monkeypatch.setattr(posthog, "_send", lambda event, props: _capture(sent, event, props))
monkeypatch.setattr(scarf, "_send", lambda event, props: _capture(sent, event, props))
report_error("model_connection_failed", TimeoutError(PRIVATE_MESSAGE))
assert len(sent) == 2
assert {e["error_type"] for e in sent} == {"model_connection_failed"}
assert {e["exception_type"] for e in sent} == {"TimeoutError"}
@pytest.mark.parametrize("telemetry", [posthog, scarf])
def test_scan_ended_prefers_recorded_exit_reason(
telemetry: Any,
monkeypatch: pytest.MonkeyPatch,
) -> None:
state = ReportState()
state.scan_ended_exit_reason = "budget_exceeded"
sent: list[dict[str, Any]] = []
monkeypatch.setattr(telemetry, "_send", lambda event, props: _capture(sent, event, props))
telemetry.end(state, exit_reason="user_exit")
assert sent[0]["event"] == "scan_ended"
assert sent[0]["exit_reason"] == "budget_exceeded"

View File

@@ -11,7 +11,7 @@ from typing import TYPE_CHECKING
from urllib.parse import urlsplit
from strix.core.paths import latest_run_dir, runs_base_dir
from strix.interface.viewer.cli import run_view
from strix.interface.viewer.cli import _state_label, run_view
from strix.interface.viewer.server import serve
from strix.interface.viewer.transcript import (
build_run_state,
@@ -115,6 +115,14 @@ def test_read_run_summary_surfaces_mcp_connection_status(tmp_path: Path) -> None
assert read_run_summary(run_dir)["mcp_connection_status"] == roster
def test_viewer_cli_labels_terminal_statuses() -> None:
assert _state_label({"status": "completed", "finished": True}) == "[#22c55e]finished[/]"
assert _state_label({"status": "stopped", "finished": True}) == "[#eab308]stopped[/]"
assert _state_label({"status": "interrupted", "finished": True}) == "[#eab308]interrupted[/]"
assert _state_label({"status": "failed", "finished": True}) == "[#ef4444]failed[/]"
assert _state_label({"status": "running", "finished": False}) == "[#eab308]live[/]"
def test_read_missing_artifacts_return_defaults(tmp_path: Path) -> None:
run_dir = _make_run(tmp_path, "empty", status="running", end_time=None)
assert read_vulnerabilities(run_dir) == []

View File

@@ -41,6 +41,8 @@ def _fast_wait(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
async def _context() -> dict[str, Any]:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
# A live child keeps the wait genuine: with nobody to hear from it returns at once.
await coordinator.register("child", "recon", parent_id="root")
return {"agent_id": "root", "coordinator": coordinator}

416
tests/test_web_search.py Normal file
View File

@@ -0,0 +1,416 @@
"""Tests for web_search/web_get_contents provider selection and the Exa backend."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
import pytest
import requests
from strix.config.settings import IntegrationSettings
from strix.interface.environment import _missing_web_search_vars
from strix.tools.web_search import tool
if TYPE_CHECKING:
from typing import Self
class _FakeResponse:
def __init__(self, body: dict[str, Any]) -> None:
self._body = body
self.headers: dict[str, str] = {}
def __enter__(self) -> Self:
return self
def __exit__(self, *_exc: object) -> None:
return None
def raise_for_status(self) -> None:
return None
def json(self) -> dict[str, Any]:
return self._body
def test_auto_prefers_exa_when_both_keys_set() -> None:
integrations = IntegrationSettings(PERPLEXITY_API_KEY="pk", EXA_API_KEY="ek")
assert tool._resolve_provider(integrations) == ("exa", "ek")
def test_auto_falls_back_to_perplexity_when_only_perplexity_is_set() -> None:
integrations = IntegrationSettings(PERPLEXITY_API_KEY="pk")
assert tool._resolve_provider(integrations) == ("perplexity", "pk")
def test_explicit_exa_ignores_a_configured_perplexity_key() -> None:
integrations = IntegrationSettings(
PERPLEXITY_API_KEY="pk",
EXA_API_KEY="ek",
STRIX_WEB_SEARCH_PROVIDER="exa",
)
assert tool._resolve_provider(integrations) == ("exa", "ek")
def test_explicit_perplexity_ignores_a_configured_exa_key() -> None:
integrations = IntegrationSettings(
PERPLEXITY_API_KEY="pk",
EXA_API_KEY="ek",
STRIX_WEB_SEARCH_PROVIDER="perplexity",
)
assert tool._resolve_provider(integrations) == ("perplexity", "pk")
def test_explicit_exa_without_a_key_names_only_exa() -> None:
integrations = IntegrationSettings(
PERPLEXITY_API_KEY="pk",
STRIX_WEB_SEARCH_PROVIDER="exa",
)
resolved = tool._resolve_provider(integrations)
assert isinstance(resolved, dict)
assert resolved["success"] is False
assert "EXA_API_KEY" in resolved["error"]
assert "PERPLEXITY_API_KEY" not in resolved["error"]
def test_no_keys_names_both_providers() -> None:
resolved = tool._resolve_provider(IntegrationSettings())
assert isinstance(resolved, dict)
assert "EXA_API_KEY or PERPLEXITY_API_KEY" in resolved["error"]
def test_exa_content_requests_summaries_and_renders_results(
monkeypatch: pytest.MonkeyPatch,
) -> None:
captured: dict[str, Any] = {}
def fake_post(url: str, **kwargs: Any) -> _FakeResponse:
captured["url"] = url
captured["headers"] = kwargs["headers"]
captured["json"] = kwargs["json"]
return _FakeResponse(
{
"results": [
{
"url": "https://nvd.example/cve",
"title": "NVD entry",
"summary": " CVE-2024-0001 is a heap overflow. ",
},
{"id": "https://blog.example/post"},
"not-a-dict",
{"title": "no url"},
],
}
)
monkeypatch.setattr(requests, "post", fake_post)
content = tool._exa_content("ek", "OpenSSH 7.4 RCE?", "auto", 5)
assert captured["url"] == "https://api.exa.ai/search"
assert captured["headers"]["x-api-key"] == "ek"
assert captured["json"]["query"] == "OpenSSH 7.4 RCE?"
assert captured["json"]["type"] == "auto"
assert captured["json"]["numResults"] == 5
assert captured["json"]["contents"] == {"summary": {"query": tool._EXA_SUMMARY_PROMPT}}
assert content == (
"### NVD entry\nhttps://nvd.example/cve\nCVE-2024-0001 is a heap overflow.\n\n"
"### https://blog.example/post\nhttps://blog.example/post"
)
def test_exa_content_renders_a_result_without_contents(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(
requests,
"post",
lambda *_a, **_kw: _FakeResponse(
{"results": [{"url": "https://ex.example", "title": "Ex"}]}
),
)
assert tool._exa_content("ek", "q", "auto", 5) == "### Ex\nhttps://ex.example"
@pytest.mark.parametrize("body", [{}, {"results": None}, {"results": []}, {"results": ["x"]}])
def test_exa_content_rejects_empty_results(
monkeypatch: pytest.MonkeyPatch, body: dict[str, Any]
) -> None:
monkeypatch.setattr(requests, "post", lambda *_a, **_kw: _FakeResponse(body))
with pytest.raises(ValueError, match="no results"):
tool._exa_content("ek", "q", "auto", 5)
def test_do_search_reports_empty_exa_results_as_unexpected(
monkeypatch: pytest.MonkeyPatch,
) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(requests, "post", lambda *_a, **_kw: _FakeResponse({}))
result = tool._do_search("q")
assert result["success"] is False
assert "unexpected response" in result["error"]
@pytest.mark.parametrize(
("env", "expected"),
[
({}, ["EXA_API_KEY", "PERPLEXITY_API_KEY"]),
({"EXA_API_KEY": "ek"}, []),
({"PERPLEXITY_API_KEY": "pk"}, []),
({"STRIX_WEB_SEARCH_PROVIDER": "exa", "PERPLEXITY_API_KEY": "pk"}, ["EXA_API_KEY"]),
({"STRIX_WEB_SEARCH_PROVIDER": "exa", "EXA_API_KEY": "ek"}, []),
({"STRIX_WEB_SEARCH_PROVIDER": "perplexity", "EXA_API_KEY": "ek"}, ["PERPLEXITY_API_KEY"]),
({"STRIX_WEB_SEARCH_PROVIDER": "perplexity", "PERPLEXITY_API_KEY": "pk"}, []),
],
)
def test_environment_validation_follows_provider_rules(
env: dict[str, str], expected: list[str]
) -> None:
integrations = IntegrationSettings.model_validate(env)
assert _missing_web_search_vars(integrations) == expected
def test_exa_search_type_and_num_results_are_configurable(
monkeypatch: pytest.MonkeyPatch,
) -> None:
captured: dict[str, Any] = {}
class _Settings:
integrations = IntegrationSettings(
EXA_API_KEY="ek",
STRIX_EXA_SEARCH_TYPE="deep-reasoning",
STRIX_EXA_NUM_RESULTS=3,
)
def fake_post(_url: str, **kwargs: Any) -> _FakeResponse:
captured["json"] = kwargs["json"]
return _FakeResponse({"results": [{"url": "https://ex.example", "title": "Ex"}]})
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(requests, "post", fake_post)
assert tool._do_search("q")["success"] is True
assert captured["json"]["type"] == "deep-reasoning"
assert captured["json"]["numResults"] == 3
def test_exa_page_text_requests_full_text_and_renders_pages(
monkeypatch: pytest.MonkeyPatch,
) -> None:
captured: dict[str, Any] = {}
def fake_post(url: str, **kwargs: Any) -> _FakeResponse:
captured["url"] = url
captured["headers"] = kwargs["headers"]
captured["json"] = kwargs["json"]
return _FakeResponse(
{
"results": [
{
"url": "https://nvd.example/cve",
"title": "NVD entry",
"text": " Full advisory body. ",
},
{"url": "https://empty.example", "text": " "},
"not-a-dict",
{"text": "no url"},
],
}
)
monkeypatch.setattr(requests, "post", fake_post)
content, fetched = tool._exa_page_text("ek", ["https://nvd.example/cve"])
assert captured["url"] == "https://api.exa.ai/contents"
assert captured["headers"]["x-api-key"] == "ek"
assert captured["json"] == {"urls": ["https://nvd.example/cve"], "text": True}
assert content == "### NVD entry\nhttps://nvd.example/cve\n\nFull advisory body."
assert fetched == {"https://nvd.example/cve"}
def test_exa_page_text_truncates_a_long_page(monkeypatch: pytest.MonkeyPatch) -> None:
body = "A" * (tool._EXA_PAGE_MAX_CHARS + 500)
monkeypatch.setattr(
requests,
"post",
lambda *_a, **_kw: _FakeResponse(
{"results": [{"url": "https://ex.example", "text": body}]}
),
)
content, _fetched = tool._exa_page_text("ek", ["https://ex.example"])
assert "truncated at" in content
assert content.count("A") == tool._EXA_PAGE_MAX_CHARS
@pytest.mark.parametrize("body", [{}, {"results": []}, {"results": [{"url": "u"}]}])
def test_exa_page_text_rejects_pages_without_text(
monkeypatch: pytest.MonkeyPatch, body: dict[str, Any]
) -> None:
monkeypatch.setattr(requests, "post", lambda *_a, **_kw: _FakeResponse(body))
with pytest.raises(ValueError, match="no page contents"):
tool._exa_page_text("ek", ["https://ex.example"])
@pytest.mark.parametrize("urls", [[], ["", " "]])
def test_do_get_contents_requires_a_url(urls: list[str]) -> None:
result = tool._do_get_contents(urls)
assert result["success"] is False
assert "at least one URL" in result["error"]
def test_do_get_contents_caps_the_url_count() -> None:
urls = [f"https://ex{index}.example" for index in range(tool._EXA_MAX_CONTENT_URLS + 1)]
result = tool._do_get_contents(urls)
assert result["success"] is False
assert "Too many URLs" in result["error"]
def test_do_get_contents_needs_an_exa_key(monkeypatch: pytest.MonkeyPatch) -> None:
class _Settings:
integrations = IntegrationSettings(PERPLEXITY_API_KEY="pk")
monkeypatch.setattr(tool, "load_settings", _Settings)
result = tool._do_get_contents(["https://ex.example"])
assert result["success"] is False
assert "EXA_API_KEY" in result["error"]
def test_do_get_contents_refuses_a_perplexity_pinned_provider(
monkeypatch: pytest.MonkeyPatch,
) -> None:
class _Settings:
integrations = IntegrationSettings(
EXA_API_KEY="ek",
PERPLEXITY_API_KEY="pk",
STRIX_WEB_SEARCH_PROVIDER="perplexity",
)
monkeypatch.setattr(tool, "load_settings", _Settings)
result = tool._do_get_contents(["https://ex.example"])
assert result["success"] is False
assert "web_search" in result["error"]
def test_do_get_contents_returns_page_text(monkeypatch: pytest.MonkeyPatch) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(tool, "_exa_page_text", lambda *_a: ("page", {"https://ex.example"}))
result = tool._do_get_contents([" https://ex.example "])
assert result == {
"success": True,
"urls": ["https://ex.example"],
"provider": "exa",
"content": "page",
}
def test_do_get_contents_reports_urls_exa_did_not_return(
monkeypatch: pytest.MonkeyPatch,
) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(
requests,
"post",
lambda *_a, **_kw: _FakeResponse(
{"results": [{"url": "https://ok.example/", "text": "Body."}]}
),
)
result = tool._do_get_contents(["https://ok.example", "https://blocked.example"])
assert result["success"] is True
assert result["urls"] == ["https://ok.example"]
assert result["failed_urls"] == ["https://blocked.example"]
assert "1 of 2" in result["warning"]
assert "blocked.example" not in result["content"]
def test_normalize_url_folds_only_scheme_and_host() -> None:
assert tool._normalize_url("HTTPS://Ex.Example/Path/") == tool._normalize_url(
"https://ex.example/Path"
)
assert tool._normalize_url("https://ex.example/Path") != tool._normalize_url(
"https://ex.example/path"
)
assert tool._normalize_url("https://ex.example/p?Q=A") != tool._normalize_url(
"https://ex.example/p?q=a"
)
def test_do_get_contents_omits_the_warning_when_every_page_returns(
monkeypatch: pytest.MonkeyPatch,
) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(
requests,
"post",
lambda *_a, **_kw: _FakeResponse(
{
"results": [
{"url": "https://a.example", "text": "A."},
{"url": "https://b.example", "text": "B."},
]
}
),
)
result = tool._do_get_contents(["https://a.example", "https://b.example"])
assert result["urls"] == ["https://a.example", "https://b.example"]
assert "failed_urls" not in result
assert "warning" not in result
def test_do_get_contents_sanitizes_a_network_error(monkeypatch: pytest.MonkeyPatch) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
def boom(*_args: Any, **_kwargs: Any) -> None:
raise requests.exceptions.ConnectionError
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(requests, "post", boom)
result = tool._do_get_contents(["https://ex.example"])
assert result["success"] is False
assert "network error" in result["error"]
assert "ek" not in result["error"]
def test_do_search_reports_the_provider_it_used(monkeypatch: pytest.MonkeyPatch) -> None:
class _Settings:
integrations = IntegrationSettings(EXA_API_KEY="ek")
monkeypatch.setattr(tool, "load_settings", _Settings)
monkeypatch.setattr(tool, "_exa_content", lambda *_a: "answer")
result = tool._do_search("OpenSSH 7.4 RCE?")
assert result == {
"success": True,
"query": "OpenSSH 7.4 RCE?",
"provider": "exa",
"content": "answer",
}

186
uv.lock generated
View File

@@ -20,7 +20,7 @@ wheels = [
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name = "aiohttp"
version = "3.14.1"
version = "3.14.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -32,90 +32,90 @@ dependencies = [
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{ name = "yarl" },
]
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