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Author SHA1 Message Date
Ahmed Allam 460ceab075 feat(llm): Claude prompt caching (system + tools + rolling tail), Bedrock-safe
Enables Anthropic/Bedrock prompt caching for Claude routes via LiteLLM
cache_control_injection_points: system prompt + latest message everywhere,
plus tool_config on Bedrock Converse only (the sole route whose transform
consumes it; elsewhere it leaks as an unknown top-level field that native
Anthropic 400-rejects). Unmapped Bedrock Claude models run uncached instead
of crashing. Adds STRIX_PROMPT_CACHE opt-out (default on).
2026-07-26 23:29:41 +00:00
Devin AI fb6606279f Merge branch 'pr-772' into devin/1785108025-claude-prompt-caching 2026-07-26 23:20:26 +00:00
3b79e97f00 feat(context): spill oversized tool output into the sandbox workspace (#882)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-26 14:42:22 -07:00
devin-ai-integration[bot]andGitHub 66a283b71b feat(context): model-aware conversation compaction for long scans (#881) 2026-07-26 14:39:41 -07:00
Ahmed AllamandAhmed Allam 74f334cb93 refactor(context): trim verbose comments 2026-07-26 14:38:12 -07:00
Ahmed AllamandAhmed Allam 8e9a6bf903 fix(context): reject tool-output byte ceilings below the notice size
A configured tool_output_max_bytes smaller than the truncation notice
itself can't fit a bounded preview, so a persisted result could exceed the
ceiling. Enforce a config floor (ge=1024) so nonsensical values are
rejected at load time instead of being worked around at runtime.
2026-07-26 14:38:12 -07:00
Ahmed AllamandAhmed Allam 0ebd3c6230 fix(context): reserve notice budget so bounded output honors max_bytes
The head+tail slices could each take half of max_bytes, then the
truncation notice and its separators were appended on top, so the value
persisted to history could exceed the configured maximum. Reserve an
upper bound for the notice (and separators) out of the byte budget before
slicing so the whole joined result stays within max_bytes.
2026-07-26 14:38:12 -07:00
Ahmed AllamandAhmed Allam 6bda366065 fix(context): bound native filesystem tool output in Responses mode
Chat-completions mode converts filesystem CustomTools to FunctionTools
(which bounds their result), but the Responses-API path kept them native
and unbounded, so a large read_file could still exhaust the context
window. Always configure the Filesystem capability to head+tail bound
tool output in both modes.
2026-07-26 14:38:12 -07:00
Ahmed AllamandAhmed Allam 1f36f5d401 fix(context): clamp shell output cap and count byte-trimmed dropped lines
Treat tool_output_max_tokens as a ceiling so an explicit model-supplied
cap can't exceed it, and derive the truncation notice's dropped-line
count from the lines actually kept after the byte-trim pass. Also cast
the pygments fallback lexer so it satisfies the resolve_lexer return
type under the pre-commit mypy hook.
2026-07-26 14:38:12 -07:00
Ahmed AllamandAhmed Allam a70a87f272 feat(context): bound per-tool output before it enters agent history
Cap the size of every tool result so a single verbose command (recursive
find, noisy scanner, full page dump) can't pin the conversation near the
model's context window for the rest of a scan.

- New ContextSettings config group with env-tunable caps.
- Default the SDK shell tools' max_output_tokens so exec_command /
  write_stdin truncate head+tail instead of returning unbounded output.
- Bound Strix's own FunctionTool/CustomTool results (line + UTF-8 byte
  head+tail preview with a truncation notice) and cap error strings.
2026-07-26 14:38:12 -07:00
devin-ai-integration[bot]andGitHub d2fbcb726d feat(reporting): add read-only list_reports + get_report tools (#889) 2026-07-26 14:05:53 -07:00
Ahmed AllamandAhmed Allam 8169e177de docs(skills): remove references to tools not installed in the sandbox
Skills and the agent system prompt referenced external CLIs that are not
present in containers/Dockerfile, which could lead the agent to invoke
missing binaries. Replace them with installed equivalents:

- asset_discovery: drop amass/cero and the projectdiscovery tools that are
  not installed (tlsx/dnsx/asnmap/mapcidr/uncover); rewrite around the
  installed subfinder/httpx/naabu plus curl+jq (crt.sh), openssl s_client,
  dig, and whois. Stop claiming the full projectdiscovery suite is available.
- subdomain_takeover: replace dnsx with dig in the pipeline example.
- weak_password_detection: drop hydra/cewl/patator; use ffuf for web logins
  and nmap NSE *-brute scripts for services; fix dead /usr/share/wordlists
  and /usr/share/seclists paths (nothing ships by default -> download to
  /home/pentester/tools/wordlists at runtime).
- system_prompt: replace msfconsole with sqlmap in the interactive-process
  example.

active_directory skill is left as-is: it already ships an explicit install
block for its tools.
2026-07-26 14:00:07 -07:00
Ahmed AllamandAhmed Allam 589bade39a fix: restore viewer-auth.json path in auth module docstring 2026-07-26 13:11:14 -07:00
Ahmed AllamandAhmed Allam d1e8225d5f refactor: move strix/viewer under strix/interface 2026-07-26 13:11:14 -07:00
Ahmed AllamandAhmed Allam 8157ccba27 refactor(reports): fold fence helpers into report writer 2026-07-25 13:09:57 -07:00
Ahmed AllamandAhmed Allam 95d2e5fba9 fix(reports): safe-fence code-location snippets in markdown copy 2026-07-25 13:09:57 -07:00
Ahmed AllamandAhmed Allam 21243486e2 fix(reports): safe-fence markdown PoC export and share fence helpers 2026-07-25 13:09:57 -07:00
Ahmed AllamandAhmed Allam 97ed7e79a1 fix(reports): auto-detect PoC language with Python fallback 2026-07-25 13:09:57 -07:00
Ahmed AllamandAhmed Allam 31c18f8f75 fix(reports): strip markdown code fence from poc_script_code before rendering 2026-07-25 13:09:57 -07:00
Ahmed AllamandAhmed Allam f23fadfbff Rename root agent to Strix 2026-07-25 11:40:05 -07:00
08126eb518 feat(dedupe): add dedicated deduplication model (#823)
Co-authored-by: oyasumi <oyasumi@kantilabs.xyz>
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-25 06:29:39 -07:00
Utku TugrulandGitHub d4f4697533 runtime: resolve staged local-dir path to avoid symlink rejection on macOS (#857) 2026-07-25 05:45:31 -07:00
dvir aradandAhmed Allam 57304b0084 docs(cli): document exit code 1 and clarify exit 0 semantics
The Exit Codes table in the CLI reference only listed 0 and 2, but the
CLI also exits with 1 on fatal errors (missing environment variables,
Docker unavailable, invalid config file, diff-scope resolution failure,
or an unhandled exception). It also implied exit 0 means no
vulnerabilities were found, which is only true in headless mode -
interactive runs always exit 0 regardless of findings.

Document exit code 1 and clarify the two cases for exit 0.
2026-07-25 05:29:13 -07:00
cd8270c98b Sign in with a ChatGPT subscription for inference (#854)
Co-authored-by: Jonathan Singer <jonathansinger@Jonathans-MacBook-Pro.local>
Co-authored-by: Jonathan Singer <jonathansinger@Mac-3004.lan>
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-24 15:41:19 -07:00
Ahmed AllamandAhmed Allam 93af2b94a2 chore(deps): bump setuptools to 83.0.0 (GHSA-h35f-9h28-mq5c) 2026-07-24 07:08:50 -07:00
960caf86aa Pin release-workflow actions to commit SHAs + least-privilege token (#862)
Every `uses:` in build-release.yml was a mutable tag; the `release` job has
`contents: write` and publishes the binaries users install, so a compromised
action could tamper the release. Action tag-hijacking keeps recurring
(aquasecurity/trivy-action, 75 tags, Mar 2026 TeamPCP; tj-actions, 2025;
codfish/semantic-release-action, Jun 2026) and SHA-pinned workflows were immune
each time. Pin all six actions to the commit each @major resolves to today
(concrete version in a trailing comment; setup-uv's annotated tag dereferenced
to its commit, not the tag object, so Dependabot tracks it). Also add a
top-level `permissions: contents: read` (the release job keeps its explicit
write) and `persist-credentials: false` on the build checkout.

actionlint passes. Pairs with #860 (Dependabot github-actions keeps the pins
current).

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-23 15:22:28 -04:00
yoniandAhmed Allam 7e02b8d8da Quit after scan instead of hosting local viewer
Remove the post-scan local viewer hosting step so the run exits directly
instead of blocking with 'Hosting the local viewer. Press Ctrl-C to stop.'
Drop the 'View in web' link (and 'Reopen' variant) from the completion
panel, which now always shows 'View  strix view <run_name>'.
2026-07-22 14:29:11 -07:00
alex sandGitHub 137a42c3e3 fix(deps): cap cryptography <49 to keep Intel macOS universal2 wheel (#859)
cryptography 49.x ships arm64-only macOS wheels (no universal2), forcing the
Intel macOS (macos-x86_64) release runner to build from sdist under
`uv sync --frozen`. Pin to 48.0.1, which still clears GHSA-537c-gmf6-5ccf
(fixed in 48.0.1) and provides a macosx_10_9_universal2 wheel.
2026-07-22 16:56:15 -04:00
alex sandGitHub 473b3c4af1 chore(deps): bump cryptography to 49.0.0 and pyasn1 to 0.6.4 (#856)
Resolves GHSA-537c-gmf6-5ccf (vulnerable OpenSSL in cryptography wheels,
fixed in 48.0.1) and CVE-2026-59885 / CVE-2026-59886 (pyasn1 DoS via
OBJECT IDENTIFIER / REAL decoding, fixed in 0.6.4).
2026-07-22 16:33:06 -04:00
alex sandGitHub d1a73a24f8 feat(cli): update notifications + self-update (strix --update) (#807)
* feat(cli): update notifications + self-update (strix --update)

* fix(update): verify release checksum, clean up staged binary, roll back Windows rename on failure

* feat(update): 3-way pre-scan prompt (update now / not now / skip this version) + package-manager upgrade

* fix(update): never show update prompt/notice in non-interactive runs
2026-07-22 16:29:03 -04:00
Sean TurnerandClaude Opus 4.8 efb698a4d0 feat(llm): also cache the append-only conversation tail
The two prefix breakpoints (system + tool_config) only cache the FIXED
prefix. A Strix scan's transcript is append-only, so the growing
conversation body is re-sent at full input price every turn and
cache-read decays as the transcript grows — a denominator effect, not
the prefix missing.

Add a third rolling breakpoint at index:-1 (the last message). Because
prior turns are immutable, this re-caches the whole prefix-so-far each
turn and hits on the next; LiteLLM resolves the negative index against
the live message list. Measured on a 29-turn Bedrock scan the fixed
prefix stayed pinned at ~56k tokens while per-turn input grew to ~256k
and cache-read fell 90% -> 22%; the tail point lifts modelled cache-read
to ~96% and cuts full-price input ~16x. Degrades gracefully on older
LiteLLM (unrecognised location simply not injected).

Adds an end-to-end test driving LiteLLM 1.90.1's _apply_message_injections
to confirm the breakpoint tracks the tail across a growing transcript.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 13:33:30 +01:00
seanturner83andClaude Opus 4.8 cc2b3351b8 fix(llm): don't inject prompt-cache marker for unmapped Bedrock Claude
The cache breakpoints are gated on _is_claude_model (name contains
"claude"), but LiteLLM's AnthropicCacheControlHook only *consumes*
cache_control_injection_points for models it recognises as cache-capable
via its statically bundled model map. On a Bedrock route whose model
isn't in that map, the marker passes straight through and Bedrock's
Converse API rejects it outright:

  ValidationException: cache_control_injection_points: Extra inputs are
  not permitted

— which fails the whole scan at the first LLM call. This bites any
Bedrock Claude model LiteLLM hasn't mapped yet (a just-released model),
and is made worse when LiteLLM can't refresh its remote model map (e.g.
behind a TLS-intercepting corporate proxy) and falls back to a stale
local copy. Observed live on bedrock/global.anthropic.claude-sonnet-5.

Fix: withhold the marker only for a Bedrock route LiteLLM can't confirm
supports prompt caching. Scope is deliberately narrow — Anthropic-native,
Vertex, and OpenRouter Claude tolerate/ignore the marker (or LiteLLM maps
them under keys we don't resolve), so gating those on confirmed support
would DISABLE caching for capable models — the opposite of this PR's
intent. Only Bedrock hard-rejects, so only Bedrock is guarded.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-16 14:22:25 +01:00
Sean Turner af7769507a review: merge cache extra_args explicitly + note graceful degradation
Address Greptile feedback on #772:
- Build extra_args as {**existing, **cache} at the call site rather than
  leaning on ModelSettings.resolve()'s dict-merge — makes preservation of
  unrelated LiteLLM options obvious to a reader (resolve() does merge, but
  it's non-obvious). No behaviour change: make_model_settings builds from
  scratch so the base extra_args is None today.
- Document that an unrecognised injection-point location degrades gracefully
  (not injected, no error) on older LiteLLM pins; tool_config is honoured by
  the Bedrock Converse transform on versions that support it (litellm 1.90.1
  verified).
2026-07-15 13:07:19 +01:00
Sean Turner d93a99a355 feat(llm): enable Bedrock/Anthropic prompt caching for Claude models
A Strix scan is a long multi-turn agentic loop that re-sends a large, STABLE
prefix every turn — the system prompt plus the tool schemas — while only the
conversation tail changes. Without a caching breakpoint that whole prefix is
re-tokenised and billed at full input rate on every turn; on Bedrock Claude
it's the single biggest lever on scan cost. Measured on a real scan: cache-read
went 0% -> 57% once these injection points are set (roughly halving input cost,
and the ratio climbs on longer scans where the stable prefix dominates more
turns).

LiteLLM already implements this end to end: when `cache_control_injection_points`
is present in the call kwargs its `AnthropicCacheControlHook` fires and emits the
provider-appropriate breakpoint (Anthropic `cache_control`; Bedrock Converse
`cachePoint`), honouring Anthropic's 4-breakpoint cap. `LitellmModel` forwards
`ModelSettings.extra_args` straight into `litellm.acompletion()`, so passing the
points there is all that's needed. We mark the two big stable segments (system
prompt + tool_config = 2 of 4 breakpoints, headroom left).

Deliberately kept at the LiteLLM-config layer rather than a general ModelSettings
caching flag — that's the direction the Agents SDK maintainer prescribed when
declining a native `cache_system_prompt` field
(openai/openai-agents-python#3008 / #3009): caching is a LiteLLM/provider
behaviour, and a ModelSettings flag would let strict OpenAI-compatible paths emit
non-standard cache_control parts. Gating on Claude keeps it a strict no-op for
every other provider (no injection points -> the hook never fires); only
Claude-family routes (Anthropic native, Bedrock, Vertex, OpenRouter -> Claude)
honour the marker.

Tests: parametrised, non-vacuous — Claude routes (bedrock/native/openrouter) get
the two injection points; non-Claude (gpt-5/gemini/o3) get extra_args=None.
2026-07-15 12:54:20 +01:00
152 changed files with 6112 additions and 591 deletions
+11 -6
View File
@@ -6,6 +6,9 @@ on:
- 'v*'
workflow_dispatch:
permissions:
contents: read
jobs:
build:
strategy:
@@ -24,13 +27,15 @@ jobs:
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4.4.0
with:
persist-credentials: false
- uses: actions/setup-python@v5
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
with:
python-version: '3.12'
- uses: astral-sh/setup-uv@v5
- uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5.4.2
- name: Build
shell: bash
@@ -50,7 +55,7 @@ jobs:
tar -C dist/release -czvf "dist/release/strix-${VERSION}-${{ matrix.target }}.tar.gz" "strix-${VERSION}-${{ matrix.target }}"
fi
- uses: actions/upload-artifact@v4
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: strix-${{ matrix.target }}
path: |
@@ -65,13 +70,13 @@ jobs:
contents: write
steps:
- uses: actions/download-artifact@v4
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
with:
path: release
merge-multiple: true
- name: Create Release
uses: softprops/action-gh-release@v2
uses: softprops/action-gh-release@3bb12739c298aeb8a4eeaf626c5b8d85266b0e65 # v2.6.2
with:
prerelease: ${{ !startsWith(github.ref, 'refs/tags/') }}
generate_release_notes: true
+3 -3
View File
@@ -1,8 +1,8 @@
# Node / local-viewer SPA source (the built bundle in
# strix/viewer/static/ is committed and shipped; do not ignore it)
# strix/interface/viewer/static/ is committed and shipped; do not ignore it)
node_modules/
strix/viewer/frontend/node_modules/
strix/viewer/frontend/.vite/
strix/interface/viewer/frontend/node_modules/
strix/interface/viewer/frontend/.vite/
# Python
__pycache__/
+5 -5
View File
@@ -102,16 +102,16 @@ We welcome feature ideas! Please:
## 🖥️ Local viewer SPA
`strix view` serves a prebuilt web UI whose source lives in
`strix/viewer/frontend/` (a Vite + React project) and whose built output is
committed to `strix/viewer/static/` and shipped in the package. End users never
run a JS build. If you change anything under `strix/viewer/frontend/`, rebuild
`strix/interface/viewer/frontend/` (a Vite + React project) and whose built output is
committed to `strix/interface/viewer/static/` and shipped in the package. End users never
run a JS build. If you change anything under `strix/interface/viewer/frontend/`, rebuild
and commit the output:
```bash
make viewer # or: cd strix/viewer/frontend && npm ci && npm run build
make viewer # or: cd strix/interface/viewer/frontend && npm ci && npm run build
```
Commit both the source change and the regenerated `strix/viewer/static/`.
Commit both the source change and the regenerated `strix/interface/viewer/static/`.
## 🤝 Community
+2 -2
View File
@@ -69,8 +69,8 @@ clean:
viewer:
@echo "🖥️ Building the local-viewer SPA..."
cd strix/viewer/frontend && npm ci && npm run build
@echo "✅ Viewer built to strix/viewer/static/ (commit the changes)."
cd strix/interface/viewer/frontend && npm ci && npm run build
@echo "✅ Viewer built to strix/interface/viewer/static/ (commit the changes)."
dev: format lint type-check
@echo "✅ Development cycle complete!"
+14
View File
@@ -267,6 +267,20 @@ export STRIX_REASONING_EFFORT="high" # control thinking effort (default: high,
> [!NOTE]
> Strix automatically saves your configuration to `~/.strix/cli-config.json`, so you don't have to re-enter it on every run.
#### 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
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
```
**Recommended models for best results:**
- [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`
+25
View File
@@ -35,6 +35,31 @@ Configure Strix using environment variables or a config file.
Timeout in seconds for memory compression operations (context summarization).
</ParamField>
### Dedicated deduplication model
Finding deduplication is a cheap, structured classification task. By default it
runs on the main model, but you can route it to a smaller/cheaper model without
affecting the agents that do the actual testing.
<ParamField path="STRIX_DEDUPE_MODEL" type="string">
Model used to judge whether a candidate finding duplicates an existing report.
Falls back to `STRIX_LLM` when unset.
</ParamField>
<ParamField path="DEDUPE_LLM_API_KEY" type="string">
Optional provider key for the deduplication model.
</ParamField>
<ParamField path="DEDUPE_LLM_API_BASE" type="string">
Optional custom API base URL for the deduplication model. Use when the dedupe
model runs on a different endpoint than the main model.
</ParamField>
<ParamField path="STRIX_DEDUPE_REASONING_EFFORT" type="string">
Reasoning effort for the deduplication model. Defaults to the model's own
baseline when unset.
</ParamField>
## Optional Features
<ParamField path="PERPLEXITY_API_KEY" type="string">
+2 -1
View File
@@ -116,5 +116,6 @@ strix --mount ./huge-monorepo
| Code | Meaning |
|------|---------|
| 0 | Scan completed, no vulnerabilities found |
| 0 | Scan completed successfully (interactive mode always exits `0`; in headless mode, `0` means no vulnerabilities were found) |
| 1 | A fatal error occurred before or during the scan (e.g. missing environment variables, Docker unavailable, invalid config file, diff-scope resolution failure, or an unhandled error) |
| 2 | Vulnerabilities found (headless mode only) |
+22 -8
View File
@@ -46,7 +46,9 @@ dependencies = [
"caido-sdk-client>=0.2.0",
"reportlab>=4.0",
"pypdf>=5.0",
"cryptography>=48.0.1",
# Cap <49: 49.x drops the universal2 macOS wheel (arm64-only), which breaks
# the Intel macOS (macos-x86_64) release build's `uv sync --frozen`.
"cryptography>=48.0.1,<49",
]
[project.optional-dependencies]
@@ -77,10 +79,10 @@ build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["strix"]
# The prebuilt viewer bundle under strix/viewer/static/ ships automatically
# The prebuilt viewer bundle under strix/interface/viewer/static/ ships automatically
# (hatchling includes non-.py files under the package). The Vite SOURCE lives
# under the package dir too (strix/viewer/frontend/) but must never ship in the wheel.
exclude = ["strix/viewer/frontend", "strix/viewer/frontend/**"]
# under the package dir too (strix/interface/viewer/frontend/) but must never ship in the wheel.
exclude = ["strix/interface/viewer/frontend", "strix/interface/viewer/frontend/**"]
# ============================================================================
# Type Checking Configuration
@@ -120,6 +122,7 @@ module = [
"pydantic_settings.*",
"reportlab.*",
"pypdf.*",
"pygments.*",
]
ignore_missing_imports = true
disable_error_code = ["import-untyped"]
@@ -213,12 +216,16 @@ ignore = [
# Test doubles use fixture tokens/passwords and match a callee signature whose
# args they intentionally ignore.
"tests/test_viewer_auth.py" = ["S105", "S106", "ARG001"]
"tests/test_codex_auth.py" = ["S105", "S106", "SLF001"]
# Stdlib HTTP handler overrides (do_GET/do_POST).
"strix/interface/auth_cli.py" = ["N802"]
"tests/test_codex_streaming.py" = ["N802"]
"tests/test_report_pdf.py" = ["S105", "S106"]
# Stdlib HTTP handler overrides (do_GET/do_POST) and lazy imports that avoid a
# circular dependency with strix.telemetry / strix.viewer.report_pdf.
"strix/viewer/server.py" = ["N802", "PLC0415"]
# circular dependency with strix.telemetry / strix.interface.viewer.report_pdf.
"strix/interface/viewer/server.py" = ["N802", "PLC0415"]
# Lazy telemetry import to avoid importing PostHog before the viewer starts.
"strix/viewer/cli.py" = ["PLC0415"]
"strix/interface/viewer/cli.py" = ["PLC0415"]
# Lazy imports inside functions to avoid circular dependency with
# strix.telemetry / strix.report.dedupe / cvss.
"strix/tools/notes/tools.py" = ["PLC0415", "TC002"]
@@ -251,9 +258,16 @@ ignore = [
"strix/core/runner.py" = ["TC003", "PLR0912", "PLR0915", "PLC0415"]
# ReportState carries scan artifact/report fields and
# a runtime ``Callable`` annotation on ``vulnerability_found_callback``.
"strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401"]
"strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401", "PLC0415"]
"strix/report/usage.py" = ["PLC0415"]
# Lazy import of strix.config.models avoids a circular dependency between the
# report pipeline and the config layer.
"strix/report/dedupe.py" = ["PLC0415"]
"strix/telemetry/logging.py" = ["PLC0415"]
"strix/config/models.py" = ["PLC0415"]
# Heavy inference deps (httpx, openai) imported lazily so auth-status checks
# don't pull them in.
"strix/config/codex.py" = ["PLC0415"]
# Interface utility branches per scope-mode / target-type combination;
# splitting would obscure the decision tree without simplifying it.
"strix/interface/utils.py" = ["PLR0912", "BLE001", "PLC0415"]
+7 -7
View File
@@ -26,7 +26,7 @@ for tcss_file in strix_root.rglob('*.tcss'):
datas.append((str(tcss_file), str(rel_path.parent)))
# Prebuilt local-viewer SPA (served by `strix view`).
viewer_static = strix_root / 'viewer' / 'static'
viewer_static = strix_root / 'interface' / 'viewer' / 'static'
for asset in viewer_static.rglob('*'):
if asset.is_file():
rel_path = asset.relative_to(project_root)
@@ -158,12 +158,12 @@ hiddenimports = [
'strix.report.dedupe',
'strix.report.state',
'strix.report.writer',
'strix.viewer',
'strix.viewer.auth',
'strix.viewer.cli',
'strix.viewer.report_pdf',
'strix.viewer.server',
'strix.viewer.transcript',
'strix.interface.viewer',
'strix.interface.viewer.auth',
'strix.interface.viewer.cli',
'strix.interface.viewer.report_pdf',
'strix.interface.viewer.server',
'strix.interface.viewer.transcript',
# PDF report generation + encryption
'reportlab',
+91 -14
View File
@@ -16,6 +16,7 @@ from agents.tool import CustomTool, FunctionTool, Tool
from pydantic import ValidationError
from strix.agents.prompt import render_system_prompt
from strix.config import load_settings
from strix.tools.agents_graph.tools import (
agent_finish,
create_agent,
@@ -33,6 +34,7 @@ from strix.tools.notes.tools import (
list_notes,
update_note,
)
from strix.tools.output_store import bound_and_store, bound_text
from strix.tools.proxy.tools import (
list_requests,
list_sitemap,
@@ -41,7 +43,12 @@ from strix.tools.proxy.tools import (
view_request,
view_sitemap_entry,
)
from strix.tools.reporting.tool import create_dependency_report, create_vulnerability_report
from strix.tools.reporting.tool import (
create_dependency_report,
create_vulnerability_report,
get_report,
list_reports,
)
from strix.tools.thinking.tool import think
from strix.tools.todo.tools import (
create_todo,
@@ -103,8 +110,36 @@ def _extract_custom_input(tool: CustomTool, raw_input: str | dict[str, Any]) ->
return value if isinstance(value, str) else ""
def _tool_output_limits() -> tuple[int, int]:
context = load_settings().context
return context.tool_output_max_lines, context.tool_output_max_bytes
async def _bound_result(result: Any) -> Any:
if not isinstance(result, str):
return result
max_lines, max_bytes = _tool_output_limits()
return await bound_and_store(result, max_lines=max_lines, max_bytes=max_bytes)
def _format_tool_error(exc: Exception) -> str:
return str(exc) or exc.__class__.__name__
message = str(exc) or exc.__class__.__name__
max_lines, max_bytes = _tool_output_limits()
return bound_text(message, max_lines=max_lines, max_bytes=max_bytes)
def _with_bounded_result(tool: FunctionTool) -> FunctionTool:
"""Cap a tool's result size before it enters history (idempotent)."""
if getattr(tool, "_strix_bounded", False):
return tool
invoke_tool = tool.on_invoke_tool
async def invoke(ctx: Any, raw_input: str) -> Any:
return await _bound_result(await invoke_tool(ctx, raw_input))
tool.on_invoke_tool = invoke
tool._strix_bounded = True # type: ignore[attr-defined]
return tool
def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
@@ -112,7 +147,7 @@ def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
async def invoke(ctx: Any, raw_input: str) -> Any:
try:
return await invoke_tool(ctx, raw_input)
return await _bound_result(await invoke_tool(ctx, raw_input))
except Exception as exc: # noqa: BLE001 - tool errors should be model-visible results.
logger.debug("Tool %s failed; returning error as result", tool.name, exc_info=True)
return _format_tool_error(exc)
@@ -127,7 +162,7 @@ def _custom_tool_as_function_tool(tool: CustomTool) -> FunctionTool:
if not custom_input:
return f"`{_custom_tool_input_field(tool)}` must be a non-empty string."
try:
return await tool.on_invoke_tool(ctx, custom_input)
return await _bound_result(await tool.on_invoke_tool(ctx, custom_input))
except Exception as exc: # noqa: BLE001 - matches SDK CustomTool error-as-result behavior.
logger.debug("Tool %s failed; returning error as result", tool.name, exc_info=True)
return _format_tool_error(exc)
@@ -159,12 +194,35 @@ def _custom_tool_as_function_tool(tool: CustomTool) -> FunctionTool:
)
def _configure_chat_completions_filesystem_tools(toolset: Any) -> None:
def _bound_custom_tool(tool: CustomTool) -> CustomTool:
"""Bound a native ``CustomTool`` result in place (Responses path)."""
invoke_tool = tool.on_invoke_tool
async def invoke(ctx: Any, raw_input: str) -> Any:
return await _bound_result(await invoke_tool(ctx, raw_input))
tool.on_invoke_tool = invoke
return tool
def _configure_filesystem_tools(toolset: Any, *, chat_completions: bool) -> None:
for name, tool in vars(toolset).items():
if isinstance(tool, CustomTool):
setattr(toolset, name, _custom_tool_as_function_tool(tool))
if chat_completions:
if isinstance(tool, CustomTool):
setattr(toolset, name, _custom_tool_as_function_tool(tool))
elif isinstance(tool, FunctionTool):
setattr(toolset, name, _function_tool_with_error_result(tool))
elif isinstance(tool, CustomTool):
setattr(toolset, name, _bound_custom_tool(tool))
elif isinstance(tool, FunctionTool):
setattr(toolset, name, _function_tool_with_error_result(tool))
setattr(toolset, name, _with_bounded_result(tool))
def _make_filesystem_configurator(*, chat_completions: bool) -> Any:
def configure(toolset: Any) -> None:
_configure_filesystem_tools(toolset, chat_completions=chat_completions)
return configure
_CHARS_ESCAPE_RE = re.compile(r"\\(?:u[0-9a-fA-F]{4}|x[0-9a-fA-F]{2}|[0abtnvfr\\])")
@@ -205,6 +263,16 @@ def _format_validation_error(tool_name: str, exc: ValidationError) -> str:
return f"{tool_name}: invalid arguments — " + "; ".join(parts)
def _apply_shell_output_cap(parsed: dict[str, Any]) -> None:
"""Clamp the SDK shell tools' ``max_output_tokens`` to the configured
ceiling; a smaller explicit value is respected."""
ceiling = load_settings().context.tool_output_max_tokens
requested = parsed.get("max_output_tokens")
parsed["max_output_tokens"] = (
ceiling if not isinstance(requested, int) or requested > ceiling else requested
)
def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
invoke_tool = tool.on_invoke_tool
@@ -213,8 +281,10 @@ def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
parsed = json.loads(raw_input)
except (json.JSONDecodeError, TypeError):
parsed = None
if isinstance(parsed, dict) and "shell" not in parsed:
parsed["shell"] = "bash"
if isinstance(parsed, dict):
if "shell" not in parsed:
parsed["shell"] = "bash"
_apply_shell_output_cap(parsed)
raw_input = json.dumps(parsed)
try:
return await invoke_tool(ctx, raw_input)
@@ -240,8 +310,10 @@ def _wrap_write_stdin(tool: FunctionTool) -> FunctionTool:
parsed = json.loads(raw_input)
except json.JSONDecodeError:
parsed = None
if isinstance(parsed, dict) and isinstance(parsed.get("chars"), str):
parsed["chars"] = _decode_chars_escape(parsed["chars"])
if isinstance(parsed, dict):
if isinstance(parsed.get("chars"), str):
parsed["chars"] = _decode_chars_escape(parsed["chars"])
_apply_shell_output_cap(parsed)
raw_input = json.dumps(parsed)
try:
return await invoke_tool(ctx, raw_input)
@@ -343,6 +415,8 @@ _BASE_TOOLS: tuple[Tool, ...] = (
web_search,
create_vulnerability_report,
create_dependency_report,
list_reports,
get_report,
list_requests,
view_request,
repeat_request,
@@ -440,6 +514,9 @@ def build_strix_agent(
else:
tools = [*_BASE_TOOLS, *agent_tools, agent_finish]
_ensure_unique_tool_names(tools)
tools = [
_with_bounded_result(tool) if isinstance(tool, FunctionTool) else tool for tool in tools
]
logger.info(
"Built %s agent '%s' (skills=%d, tools=%d, scan_mode=%s, whitebox=%s)",
@@ -459,8 +536,8 @@ def build_strix_agent(
model=None,
capabilities=[
Filesystem(
configure_tools=(
_configure_chat_completions_filesystem_tools if chat_completions_tools else None
configure_tools=_make_filesystem_configurator(
chat_completions=chat_completions_tools,
),
),
Shell(
+2 -1
View File
@@ -188,7 +188,7 @@ EFFICIENCY TACTICS:
script fail with `ModuleNotFoundError`.
- `exec_command` runs each command in a fresh non-interactive shell (plain
pipes, no TTY). To drive an interactive or long-running process with
`write_stdin` — REPLs, `ssh`/`nc`/`ftp`, `msfconsole`, or to send Ctrl-C —
`write_stdin` — REPLs, `ssh`/`nc`/`ftp`, `sqlmap`, or to send Ctrl-C —
you MUST start it with `exec_command(cmd="...", tty=true)` and then
`write_stdin(session_id=<id>, chars="...")`. Calling `write_stdin` on a
default (non-TTY) command or on a process that has already exited fails with
@@ -215,6 +215,7 @@ 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
- 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.
</execution_guidelines>
<vulnerability_focus>
+4
View File
@@ -17,6 +17,8 @@ from strix.config.loader import (
persist_current,
)
from strix.config.settings import (
ContextSettings,
DedupeSettings,
IntegrationSettings,
LlmSettings,
RuntimeSettings,
@@ -26,6 +28,8 @@ from strix.config.settings import (
__all__ = [
"ContextSettings",
"DedupeSettings",
"IntegrationSettings",
"LlmSettings",
"RuntimeSettings",
+411
View File
@@ -0,0 +1,411 @@
"""ChatGPT (Codex) subscription auth: OAuth login, token refresh, and the OpenAI
client that routes inference through the ChatGPT backend.
Mirrors OpenAI's Codex CLI: OAuth 2.0 + PKCE against ``auth.openai.com``, with the
access token sent as a ``Bearer`` token to ``chatgpt.com/backend-api/codex``. Using
a ChatGPT subscription outside OpenAI's own products is not officially supported by
OpenAI; the user chooses this path knowingly. The OAuth constants are OpenAI's own
Codex CLI values (the backend only accepts that client).
"""
from __future__ import annotations
import base64
import contextlib
import hashlib
import json
import logging
import secrets
import threading
import time
import urllib.error
import urllib.parse
import urllib.request
from pathlib import Path
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from collections.abc import Iterator
from openai import AsyncOpenAI
logger = logging.getLogger(__name__)
PROVIDER = "codex"
CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
AUTHORIZE_URL = "https://auth.openai.com/oauth/authorize"
TOKEN_URL = "https://auth.openai.com/oauth/token" # noqa: S105 # nosec B105 - URL, not a secret
CALLBACK_HOST = "localhost"
CALLBACK_PORT = 1455
CALLBACK_PATH = "/auth/callback"
REDIRECT_URI = f"http://{CALLBACK_HOST}:{CALLBACK_PORT}{CALLBACK_PATH}"
SCOPE = "openid profile email offline_access"
CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
ORIGINATOR = "codex_cli_rs"
_ACCOUNT_CLAIM = "https://api.openai.com/auth"
_TOKEN_TIMEOUT = 30
_EXPIRY_SKEW_S = 300
_refresh_lock = threading.Lock()
# Kept separate from cli-config.json so OAuth tokens never land in the env-var config.
AUTH_PATH = Path.home() / ".strix" / "subscription-auth.json"
def _read_store() -> dict[str, Any]:
try:
data = json.loads(AUTH_PATH.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
return {}
return data if isinstance(data, dict) else {}
def _write_store(data: dict[str, Any]) -> None:
AUTH_PATH.parent.mkdir(parents=True, exist_ok=True)
tmp = AUTH_PATH.with_suffix(".json.tmp")
tmp.write_text(json.dumps(data, indent=2), encoding="utf-8")
with contextlib.suppress(OSError):
tmp.chmod(0o600)
tmp.replace(AUTH_PATH)
with contextlib.suppress(OSError):
AUTH_PATH.chmod(0o600)
def read_record() -> dict[str, Any] | None:
record = _read_store().get(PROVIDER)
if not isinstance(record, dict) or record.get("type") != "oauth":
return None
if not (record.get("access") and record.get("refresh") and record.get("account_id")):
return None
return record
def is_authenticated() -> bool:
return read_record() is not None
def save_record(record: dict[str, Any]) -> None:
data = _read_store()
data[PROVIDER] = record
_write_store(data)
def logout() -> None:
data = _read_store()
if PROVIDER not in data:
return
del data[PROVIDER]
if data:
_write_store(data)
return
with contextlib.suppress(OSError):
AUTH_PATH.unlink()
@contextlib.contextmanager
def _refresh_guard() -> Iterator[None]:
"""Serialize token refresh within (lock) and across (flock) Strix processes,
so concurrent runs can't both spend the single-use refresh token."""
with _refresh_lock:
try:
import fcntl
lock_path = AUTH_PATH.with_suffix(".lock")
lock_path.parent.mkdir(parents=True, exist_ok=True)
handle = lock_path.open("w")
except (ImportError, OSError):
yield
return
try:
with contextlib.suppress(OSError):
fcntl.flock(handle.fileno(), fcntl.LOCK_EX)
yield
finally:
with contextlib.suppress(OSError):
fcntl.flock(handle.fileno(), fcntl.LOCK_UN)
handle.close()
class CodexAuthError(Exception):
def __init__(self, code: str, message: str | None = None) -> None:
self.code = code
super().__init__(message or code)
class CodexContentGuardrailError(Exception):
"""The ChatGPT backend refused a request via its content guardrail.
Terminal — retrying identical content never clears the block."""
def __init__(self, model: str, original: BaseException | None = None) -> None:
self.model = model
self.original = original
super().__init__(
f"'{model}' was blocked by ChatGPT's content guardrails "
f"(flagged as a possible cybersecurity risk). "
f"Set STRIX_LLM to a model that isn't blocked and re-run."
)
_GUARDRAIL_MARKERS = (
"flagged for possible cybersecurity risk",
"trusted access for cyber",
)
def is_content_guardrail_error(exc: BaseException) -> bool:
if isinstance(exc, CodexContentGuardrailError):
return True
text = str(exc).lower()
return any(marker in text for marker in _GUARDRAIL_MARKERS)
def _b64url(raw: bytes) -> str:
return base64.urlsafe_b64encode(raw).rstrip(b"=").decode("ascii")
def generate_pkce() -> tuple[str, str]:
verifier = _b64url(secrets.token_bytes(64))
challenge = _b64url(hashlib.sha256(verifier.encode("ascii")).digest())
return verifier, challenge
def create_state() -> str:
return secrets.token_hex(16)
def build_authorize_url(challenge: str, state: str) -> str:
params = {
"response_type": "code",
"client_id": CLIENT_ID,
"redirect_uri": REDIRECT_URI,
"scope": SCOPE,
"code_challenge": challenge,
"code_challenge_method": "S256",
"state": state,
"id_token_add_organizations": "true",
"codex_cli_simplified_flow": "true",
"originator": ORIGINATOR,
}
return f"{AUTHORIZE_URL}?{urllib.parse.urlencode(params)}"
def parse_redirect_input(value: str) -> tuple[str | None, str | None]:
"""Extract ``(code, state)`` from a pasted redirect URL, ``code#state``,
query string, or bare code."""
value = (value or "").strip()
if not value:
return None, None
with contextlib.suppress(ValueError):
parsed = urllib.parse.urlparse(value)
if parsed.scheme and parsed.query:
query = urllib.parse.parse_qs(parsed.query)
return _first(query, "code"), _first(query, "state")
if "#" in value:
code, _, state = value.partition("#")
return code or None, state or None
if "code=" in value:
query = urllib.parse.parse_qs(value)
return _first(query, "code"), _first(query, "state")
return value, None
def _first(query: dict[str, list[str]], key: str) -> str | None:
values = query.get(key)
return values[0] if values else None
def _post_form(payload: dict[str, str]) -> dict[str, Any]:
body = urllib.parse.urlencode(payload).encode("ascii")
request = urllib.request.Request( # noqa: S310 - fixed https OAuth endpoint
TOKEN_URL,
data=body,
headers={
"Content-Type": "application/x-www-form-urlencoded",
"Accept": "application/json",
},
method="POST",
)
try:
with urllib.request.urlopen( # noqa: S310 # nosec B310 - fixed https endpoint
request, timeout=_TOKEN_TIMEOUT
) as response:
data = json.loads(response.read() or b"{}")
except urllib.error.HTTPError as exc:
detail = exc.read().decode("utf-8", "replace")[:300]
raise CodexAuthError("token_http_error", f"HTTP {exc.code}: {detail}") from exc
except (urllib.error.URLError, TimeoutError, OSError) as exc:
raise CodexAuthError("unavailable", str(exc)) from exc
if not isinstance(data, dict):
raise CodexAuthError("bad_response", "token endpoint returned non-object")
return data
def _record_from_token_response(
data: dict[str, Any], refresh_fallback: str | None = None
) -> dict[str, Any]:
access = data.get("access_token")
# A refresh response may omit refresh_token when it isn't rotated; keep the old one.
refresh = data.get("refresh_token") or refresh_fallback
expires_in = data.get("expires_in")
if not isinstance(access, str) or not access:
raise CodexAuthError("bad_response", "token response missing access_token")
if not isinstance(refresh, str) or not refresh:
raise CodexAuthError("bad_response", "token response missing refresh_token")
account_id = _account_id_from_jwt(access) or _account_id_from_jwt(
data.get("id_token") if isinstance(data.get("id_token"), str) else ""
)
if not account_id:
raise CodexAuthError("no_account_id", "could not read chatgpt_account_id from token")
ttl = expires_in if isinstance(expires_in, int | float) else 3600
return {
"type": "oauth",
"provider": PROVIDER,
"access": access,
"refresh": refresh,
"account_id": account_id,
"expires_at": time.time() + ttl,
}
def exchange_code(code: str, verifier: str) -> dict[str, Any]:
data = _post_form(
{
"grant_type": "authorization_code",
"client_id": CLIENT_ID,
"code": code,
"code_verifier": verifier,
"redirect_uri": REDIRECT_URI,
}
)
return _record_from_token_response(data)
def refresh_tokens(refresh_token: str) -> dict[str, Any]:
data = _post_form(
{
"grant_type": "refresh_token",
"client_id": CLIENT_ID,
"refresh_token": refresh_token,
}
)
return _record_from_token_response(data, refresh_fallback=refresh_token)
def _account_id_from_jwt(token: str | None) -> str | None:
"""Read the account id claim without verifying the JWT (the server enforces
authenticity on use); it feeds the ``chatgpt-account-id`` header."""
if not token or token.count(".") != 2:
return None
payload_b64 = token.split(".")[1]
padding = "=" * (-len(payload_b64) % 4)
try:
payload = json.loads(base64.urlsafe_b64decode(payload_b64 + padding))
except (ValueError, json.JSONDecodeError):
return None
if not isinstance(payload, dict):
return None
auth = payload.get(_ACCOUNT_CLAIM)
if isinstance(auth, dict):
account_id = auth.get("chatgpt_account_id")
if isinstance(account_id, str) and account_id:
return account_id
organizations = payload.get("organizations")
if isinstance(organizations, list) and organizations and isinstance(organizations[0], dict):
org_id = organizations[0].get("id")
if isinstance(org_id, str) and org_id:
return org_id
return None
def _near_expiry(record: dict[str, Any]) -> bool:
expires_at = record.get("expires_at")
if not isinstance(expires_at, int | float):
return True
return expires_at - _EXPIRY_SKEW_S <= time.time()
def get_valid_token() -> tuple[str, str]:
"""Return ``(access_token, account_id)``, refreshing under the cross-process
guard if near expiry."""
record = read_record()
if record is None:
raise CodexAuthError("not_authenticated", "not signed in; run: strix auth login")
if not _near_expiry(record):
return record["access"], record["account_id"]
with _refresh_guard():
record = read_record()
if record is None:
raise CodexAuthError("not_authenticated", "not signed in; run: strix auth login")
if not _near_expiry(record):
return record["access"], record["account_id"]
try:
refreshed = refresh_tokens(record["refresh"])
except CodexAuthError:
# A peer process may have already spent this single-use refresh token.
latest = read_record()
if latest and latest["refresh"] != record["refresh"] and not _near_expiry(latest):
return latest["access"], latest["account_id"]
raise
save_record(refreshed)
return refreshed["access"], refreshed["account_id"]
def build_openai_client() -> AsyncOpenAI:
"""An ``AsyncOpenAI`` for the ChatGPT backend. A per-request hook re-stamps a
fresh bearer token so long scans survive token expiry."""
import asyncio
import httpx
from openai import AsyncOpenAI
get_valid_token() # fail fast at configure time if the sign-in is dead
async def _auth_hook(request: httpx.Request) -> None:
access, account_id = await asyncio.to_thread(get_valid_token)
request.headers["Authorization"] = f"Bearer {access}"
request.headers["chatgpt-account-id"] = account_id
http_client = httpx.AsyncClient(
timeout=httpx.Timeout(600.0, connect=30.0),
event_hooks={"request": [_auth_hook]},
)
return AsyncOpenAI(
api_key="strix-codex-oauth", # placeholder; the hook overwrites Authorization
base_url=CODEX_BASE_URL,
http_client=http_client,
default_headers={
"OpenAI-Beta": "responses=experimental",
"originator": ORIGINATOR,
},
)
_subscription_client: AsyncOpenAI | None = None
def get_subscription_client() -> AsyncOpenAI:
global _subscription_client # noqa: PLW0603
if _subscription_client is None:
_subscription_client = build_openai_client()
return _subscription_client
SUBSCRIPTION_PREFIX = "chatgpt/"
def subscription_model(model_name: str | None) -> str | None:
"""The model slug behind a ``chatgpt/<model>`` STRIX_LLM, or None."""
name = (model_name or "").strip()
if not name.lower().startswith(SUBSCRIPTION_PREFIX):
return None
return name[len(SUBSCRIPTION_PREFIX) :] or None
def auth_mode(model_name: str | None) -> str:
return "subscription" if subscription_model(model_name) else "api_key"
+192 -12
View File
@@ -2,23 +2,38 @@
from __future__ import annotations
import contextlib
import inspect
import os
from typing import TYPE_CHECKING
from typing import TYPE_CHECKING, Any
from agents import set_default_openai_api, set_default_openai_key, set_tracing_disabled
from agents import (
set_default_openai_api,
set_default_openai_key,
set_tracing_disabled,
)
from agents.model_settings import ModelSettings
from agents.models.multi_provider import MultiProvider
from agents.models.openai_responses import OpenAIResponsesModel
from agents.retry import (
ModelRetryBackoffSettings,
ModelRetrySettings,
RetryPolicyContext,
retry_policies,
)
from openai.types.shared import Reasoning
from strix.config import codex
from strix.config.loader import load_settings
if TYPE_CHECKING:
from agents.models.interface import ModelProvider
from collections.abc import AsyncIterator
from strix.config.settings import Settings
from agents.models.interface import Model, ModelProvider
from openai import AsyncOpenAI
from strix.config.settings import ReasoningEffort, Settings
def request_timeout_extra_args(timeout_s: float | None) -> dict[str, float] | None:
@@ -33,9 +48,93 @@ def _retry_statusless_provider_errors(context: RetryPolicyContext) -> bool:
normalized = context.normalized
if normalized.is_abort:
return False
if codex.is_content_guardrail_error(context.error):
return False
return normalized.status_code is None
class _CodexResponsesModel(OpenAIResponsesModel):
"""Responses model for the ChatGPT subscription backend (always streamed, stateless)."""
def __init__(
self,
model: str,
openai_client: AsyncOpenAI,
*,
reasoning_effort: ReasoningEffort | None = None,
) -> None:
super().__init__(model, openai_client)
self._reasoning_effort = reasoning_effort
def _codex_settings(self, model_settings: ModelSettings) -> ModelSettings:
overrides = ModelSettings(store=False, response_include=["reasoning.encrypted_content"])
effort = self._reasoning_effort
if effort and effort != "none":
# Clamp to efforts the backend accepts.
if effort == "minimal":
effort = "low"
elif effort == "xhigh":
effort = "high"
overrides = overrides.resolve(ModelSettings(reasoning=Reasoning(effort=effort)))
return model_settings.resolve(overrides)
async def _fetch_response(self, *args: Any, stream: bool = False, **kwargs: Any) -> Any:
if len(args) >= 3: # model_settings is positional arg 2
args = (*args[:2], self._codex_settings(args[2]), *args[3:])
try:
events = await super()._fetch_response(*args, stream=True, **kwargs) # type: ignore[call-overload]
except Exception as exc:
guardrail = self._as_guardrail(exc)
if guardrail is not None:
raise guardrail from exc
raise
guarded = self._guarded(events)
if stream:
return guarded
final_response = None
async for event in guarded:
if getattr(event, "type", None) == "response.completed":
final_response = event.response
if final_response is None:
msg = "ChatGPT backend stream ended without a completed response"
raise RuntimeError(msg)
return final_response
def _as_guardrail(self, exc: BaseException) -> codex.CodexContentGuardrailError | None:
if isinstance(exc, codex.CodexContentGuardrailError):
return exc
if codex.is_content_guardrail_error(exc):
return codex.CodexContentGuardrailError(self.model, exc)
return None
async def _guarded(self, events: Any) -> AsyncIterator[Any]:
"""Convert mid-stream guardrail rejections and close the stream on exit."""
try:
async for event in events:
yield event
except Exception as exc:
guardrail = self._as_guardrail(exc)
if guardrail is not None:
raise guardrail from exc
raise
finally:
await self._aclose(events)
@staticmethod
async def _aclose(events: Any) -> None:
aclose = getattr(events, "aclose", None)
if callable(aclose):
with contextlib.suppress(Exception):
await aclose()
return
close = getattr(events, "close", None)
if callable(close):
with contextlib.suppress(Exception):
result = close()
if inspect.isawaitable(result):
await result
class StrixProvider(MultiProvider):
"""Route any non-OpenAI prefix through LiteLLM with the prefix preserved,
so users type ``deepseek/deepseek-chat`` rather than
@@ -59,6 +158,16 @@ class StrixProvider(MultiProvider):
return self._get_fallback_provider("litellm"), f"ollama_chat/{stripped_model_name}"
return self._get_fallback_provider("litellm"), original_model_name
def get_model(self, model_name: str | None) -> Model:
slug = codex.subscription_model(model_name)
if slug:
return _CodexResponsesModel(
slug,
codex.get_subscription_client(),
reasoning_effort=load_settings().llm.reasoning_effort,
)
return super().get_model(model_name)
DEFAULT_MODEL_RETRY = ModelRetrySettings(
max_retries=5,
@@ -77,39 +186,42 @@ DEFAULT_MODEL_RETRY = ModelRetrySettings(
)
RECOMMENDED_MODEL_NAMES = (
"openai/gpt-5.6",
"openai/gpt-5.6-sol",
"openai/gpt-5.6-terra",
"openai/gpt-5.5",
"openai/gpt-5.6-luna",
"openai/gpt-5.6",
"openai/gpt-5.5-pro",
"openai/gpt-5.5",
"openai/gpt-5.4",
"openai/gpt-5.3-codex",
"anthropic/claude-fable-5",
"anthropic/claude-opus-5",
"anthropic/claude-opus-4-8",
"anthropic/claude-opus-4-7",
"anthropic/claude-sonnet-5",
"anthropic/claude-sonnet-4-6",
"vertex_ai/gemini-3.1-pro-preview",
"gemini/gemini-3.1-pro-preview",
"gemini/gemini-3.6-flash",
"deepseek/deepseek-v4-pro",
"deepseek/deepseek-v4-flash",
"dashscope/qwen3.8-max",
"dashscope/qwen3.7-max-2026-06-08",
"moonshot/kimi-k3",
"moonshot/kimi-k2.7-code",
"moonshot/kimi-k2.6",
)
_RECOMMENDED_MODEL_NAME_SET = frozenset(name.lower() for name in RECOMMENDED_MODEL_NAMES)
FRONTIER_MODEL_FAMILIES = (
(("azure", "azure_ai", "bedrock_mantle", "openai"), ("gpt-5",)),
(("azure", "azure_ai", "bedrock_mantle", "chatgpt", "openai"), ("gpt-5",)),
(
("anthropic", "azure_ai", "bedrock", "claude", "databricks", "snowflake", "vertex_ai"),
("claude-fable-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
("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"), ("qwen3.7", "qwen3.5", "qwen3-max")),
(("moonshot", "moonshotai", "kimi"), ("kimi-k2.7", "kimi-k2.6", "kimi-k2.5")),
(("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
(("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
)
@@ -117,6 +229,8 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
"""Apply Strix config to SDK-native defaults."""
llm = settings.llm
set_tracing_disabled(True)
if codex.subscription_model(llm.model):
return
_configure_litellm_compatibility()
_configure_openrouter_attribution(llm.model)
if llm.api_key:
@@ -211,6 +325,8 @@ def _configure_litellm_default(name: str, value: str) -> None:
def uses_chat_completions_tool_schema(model_name: str, settings: Settings) -> bool:
"""Return whether the resolved SDK route can only receive JSON function tools."""
if codex.subscription_model(model_name):
return False
model = model_name.strip().lower()
if "/" in model and not model.startswith("openai/"):
return True
@@ -313,3 +429,67 @@ def is_known_openai_bare_model(model_name: str) -> bool:
return False
entry = litellm.model_cost.get(name)
return bool(entry and entry.get("litellm_provider") == "openai")
def is_claude_model(model_name: str) -> bool:
return "claude" in (model_name or "").strip().lower()
def is_bedrock_route(model_name: str) -> bool:
"""Whether ``model_name`` resolves to an AWS Bedrock route.
Matches the ``bedrock/...`` LiteLLM route prefix and bare Bedrock model ids
(``[region.]anthropic.claude-...``).
"""
name = (model_name or "").strip().lower()
return name.startswith("bedrock/") or "anthropic." in name
def _prompt_cache_name_candidates(model_name: str) -> list[str]:
"""Candidate LiteLLM model-map keys for ``model_name``, most→least specific.
LiteLLM keys the same model under several names (``bedrock/global.anthropic.
claude-opus-4-1``, ``anthropic.claude-opus-4-1``, ``claude-opus-4-1``) and not
every provider/region-prefixed variant is present for every model. Strip the
LiteLLM route prefix, then leading dotted segments (region, then provider) so
a prefixed name still resolves to a bare key.
"""
name = (model_name or "").strip().lower()
for prefix in ("litellm/", "bedrock/"):
if name.startswith(prefix):
name = name[len(prefix) :]
break
candidates = [name]
rest = name
while "." in rest:
rest = rest.split(".", 1)[1]
candidates.append(rest)
return candidates
def bedrock_route_supports_prompt_caching(model_name: str) -> bool:
"""Whether LiteLLM can confirm this Bedrock model supports prompt caching.
Bedrock's Converse API rejects unknown request fields outright
(``ValidationException: cache_control_injection_points: Extra inputs are
not permitted``), and LiteLLM only consumes the cache marker for models its
(statically bundled) model map recognises as cache-capable. For a Bedrock
model missing from that map — a just-released model, or any model when the
remote model-map refresh fails and a stale local copy is used — the marker
would pass straight through and fail every call, so callers must withhold
it unless support is confirmed here.
"""
import litellm
checker = getattr(getattr(litellm, "utils", None), "supports_prompt_caching", None)
for cand in _prompt_cache_name_candidates(model_name):
if checker is not None:
# supports_prompt_caching raises for models missing from the map;
# keep checking the remaining name candidates.
with contextlib.suppress(Exception):
if checker(cand):
return True
entry = litellm.model_cost.get(cand)
if entry and entry.get("supports_prompt_caching"):
return True
return False
+38
View File
@@ -40,9 +40,45 @@ class LlmSettings(BaseSettings):
default=False,
alias="STRIX_FORCE_REQUIRED_TOOL_CHOICE",
)
prompt_cache: bool = Field(
default=True,
alias="STRIX_PROMPT_CACHE",
)
timeout: int = Field(default=300, alias="LLM_TIMEOUT")
class DedupeSettings(BaseSettings):
model_config = _BASE_CONFIG
model: str | None = Field(default=None, alias="STRIX_DEDUPE_MODEL")
reasoning_effort: ReasoningEffort | None = Field(
default=None,
alias="STRIX_DEDUPE_REASONING_EFFORT",
)
api_key: str | None = Field(default=None, alias="DEDUPE_LLM_API_KEY")
api_base: str | None = Field(default=None, alias="DEDUPE_LLM_API_BASE")
class ContextSettings(BaseSettings):
"""Context-window management: per-tool-output caps and history compaction."""
model_config = _BASE_CONFIG
auto_compact: bool = Field(default=True, alias="STRIX_CONTEXT_AUTO_COMPACT")
compact_buffer_tokens: int = Field(default=20_000, gt=0, alias="STRIX_CONTEXT_BUFFER_TOKENS")
keep_tokens: int = Field(default=8_000, gt=0, alias="STRIX_CONTEXT_KEEP_TOKENS")
fallback_context_tokens: int = Field(
default=200_000, gt=0, alias="STRIX_CONTEXT_FALLBACK_TOKENS"
)
summary_max_tokens: int = Field(default=4_096, gt=0, alias="STRIX_CONTEXT_SUMMARY_TOKENS")
tool_output_max_tokens: int = Field(default=8_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_TOKENS")
tool_output_max_lines: int = Field(default=2_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_LINES")
# Floor above the truncation-notice size so a preview always fits.
tool_output_max_bytes: int = Field(
default=50 * 1024, ge=1024, alias="STRIX_TOOL_OUTPUT_MAX_BYTES"
)
class RuntimeSettings(BaseSettings):
model_config = _BASE_CONFIG
@@ -85,7 +121,9 @@ class Settings(BaseSettings):
model_config = _BASE_CONFIG
llm: LlmSettings = Field(default_factory=LlmSettings)
dedupe: DedupeSettings = Field(default_factory=DedupeSettings)
runtime: RuntimeSettings = Field(default_factory=RuntimeSettings)
context: ContextSettings = Field(default_factory=ContextSettings)
telemetry: TelemetrySettings = Field(default_factory=TelemetrySettings)
integrations: IntegrationSettings = Field(default_factory=IntegrationSettings)
viewer: ViewerSettings = Field(default_factory=ViewerSettings)
+18 -3
View File
@@ -41,6 +41,7 @@ class AgentCoordinator:
self.names: dict[str, str] = {}
self.metadata: dict[str, dict[str, Any]] = {}
self.pending_counts: dict[str, int] = {}
self.errors: dict[str, str] = {}
self.runtimes: dict[str, AgentRuntime] = {}
self._lock = asyncio.Lock()
self._snapshot_path: Path | None = None
@@ -107,16 +108,23 @@ class AgentCoordinator:
async with self._lock:
if agent_id in self.statuses:
self.statuses[agent_id] = "running"
self.errors.pop(agent_id, None)
await self._maybe_snapshot()
async def park_waiting(self, agent_id: str) -> None:
await self.set_status(agent_id, "waiting")
async def set_status(self, agent_id: str, status: Status | str) -> None:
async def set_status(
self, agent_id: str, status: Status | str, *, error: str | None = None
) -> None:
async with self._lock:
if agent_id not in self.statuses:
return
self.statuses[agent_id] = status # type: ignore[assignment]
if error is not None:
self.errors[agent_id] = error
elif status == "running":
self.errors.pop(agent_id, None)
runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
runtime.wake.set()
logger.info("agent.status %s=%s", agent_id, status)
@@ -246,9 +254,14 @@ class AgentCoordinator:
async def graph_snapshot(
self,
) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str]]:
) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str], dict[str, str]]:
async with self._lock:
return dict(self.parent_of), dict(self.statuses), dict(self.names)
return (
dict(self.parent_of),
dict(self.statuses),
dict(self.names),
dict(self.errors),
)
def _message_to_session_item(self, message: dict[str, Any]) -> TResponseInputItem:
sender = str(message.get("from", "unknown"))
@@ -286,6 +299,7 @@ class AgentCoordinator:
"names": dict(self.names),
"metadata": {aid: dict(md) for aid, md in self.metadata.items()},
"pending_counts": dict(self.pending_counts),
"errors": dict(self.errors),
}
async def restore(self, snap: dict[str, Any]) -> None:
@@ -295,6 +309,7 @@ class AgentCoordinator:
self.names = dict(snap.get("names", {}))
self.metadata = {aid: dict(md) for aid, md in snap.get("metadata", {}).items()}
self.pending_counts = dict(snap.get("pending_counts", {}))
self.errors = dict(snap.get("errors", {}))
for aid in self.statuses:
self.runtimes.setdefault(aid, AgentRuntime())
+61 -3
View File
@@ -22,6 +22,7 @@ from strix.core.sessions import (
open_agent_session,
strip_all_images_from_session,
)
from strix.llm.compaction import is_context_overflow, maybe_compact
if TYPE_CHECKING:
@@ -40,6 +41,41 @@ logger = logging.getLogger(__name__)
StreamEventSink = Callable[[str, Any], None]
_INPUT_REJECTION_CODES = frozenset({400, 404, 422})
_MAX_COMPACTIONS_PER_CYCLE = 2
def _run_config_model(run_config: RunConfig) -> str | None:
return run_config.model if isinstance(run_config.model, str) else None
def _agent_instructions(agent: Any) -> str:
instructions = getattr(agent, "instructions", None)
return instructions if isinstance(instructions, str) else ""
def _agent_tools_text(agent: Any) -> str:
parts: list[str] = []
for tool in getattr(agent, "tools", []) or []:
name = getattr(tool, "name", "")
description = getattr(tool, "description", "") or ""
schema = getattr(tool, "params_json_schema", "") or ""
parts.append(f"{name} {description} {schema}")
return "\n".join(parts)
async def _compact_session(
agent: Any, session: Session, run_config: RunConfig, *, force: bool
) -> bool:
model = _run_config_model(run_config)
if session is None or model is None:
return False
return await maybe_compact(
session,
model=model,
instructions=_agent_instructions(agent),
tools_text=_agent_tools_text(agent),
force=force,
)
async def run_agent_loop(
@@ -350,6 +386,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
hooks: RunHooks[dict[str, Any]] | None,
) -> RunResultBase | None:
image_strips = 0
compactions = 0
while True:
try:
await coordinator.mark_running(agent_id)
@@ -360,6 +397,10 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
await enforce_image_budget(session, max_images)
except Exception:
logger.exception("image-budget enforcement failed for %s", agent_id)
try:
await _compact_session(agent, session, run_config, force=False)
except Exception:
logger.exception("proactive compaction failed for %s", agent_id)
stream = Runner.run_streamed(
agent,
input=input_data,
@@ -428,6 +469,25 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
)
input_data = []
continue
if (
compactions < _MAX_COMPACTIONS_PER_CYCLE
and session is not None
and is_context_overflow(exc)
):
try:
compacted = await _compact_session(agent, session, run_config, force=True)
except Exception:
logger.exception("overflow compaction recovery failed for %s", agent_id)
compacted = False
if compacted:
compactions += 1
logger.info(
"Compacted %s session after context overflow; retrying (%d)",
agent_id,
compactions,
)
input_data = []
continue
if not interactive:
raise
if isinstance(exc, MaxTurnsExceeded):
@@ -437,10 +497,8 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
else:
status = "crashed"
logger.exception("agent run failed for %s; parking as %s", agent_id, status)
await coordinator.set_status(agent_id, status)
await coordinator.set_status(agent_id, status, error=str(exc) or type(exc).__name__)
await _notify_parent_on_crash(coordinator, agent_id, status)
if context.get("parent_id") is None and status in {"failed", "crashed"}:
raise
return None
else:
await _settle_run_result(coordinator, agent_id, interactive)
+90
View File
@@ -10,6 +10,9 @@ from openai.types.shared import Reasoning
from strix.config.models import (
DEFAULT_MODEL_RETRY,
bedrock_route_supports_prompt_caching,
is_bedrock_route,
is_claude_model,
is_known_openai_bare_model,
model_supports_reasoning,
request_timeout_extra_args,
@@ -128,6 +131,7 @@ def make_model_settings(
model_name: str,
force_required_tool_choice: bool = False,
request_timeout: float | None = None,
prompt_cache: bool = True,
) -> ModelSettings:
model_settings = ModelSettings(
parallel_tool_calls=False,
@@ -145,9 +149,95 @@ def make_model_settings(
)
if force_required_tool_choice and _accepts_required_tool_choice(model_name):
model_settings = model_settings.resolve(ModelSettings(tool_choice="required"))
cache_extra_args = _prompt_cache_extra_args(model_name) if prompt_cache else None
if cache_extra_args:
# Merge into any existing extra_args (e.g. the request timeout) rather
# than relying on resolve()'s dict-merge semantics, so it is obvious at
# the call site that unrelated LiteLLM options are preserved.
model_settings = model_settings.resolve(
ModelSettings(
extra_args={**(model_settings.extra_args or {}), **cache_extra_args},
),
)
return model_settings
def _prompt_cache_extra_args(model_name: str) -> dict[str, Any] | None:
"""LiteLLM ``extra_args`` that enable Anthropic/Bedrock prompt caching.
A Strix scan is a long, multi-turn agentic loop that re-sends a large,
STABLE prefix every turn — the system prompt plus the tool schemas — AND an
append-only conversation transcript that only grows. Without caching
breakpoints the whole request is re-tokenised and billed at the full input
rate on every turn; on Claude that is the single biggest lever on scan cost
(measured: ``cache-read 0% -> ~66%`` on a real scan once these points are set).
This mirrors the caching policy of production agent harnesses (e.g.
anomalyco/opencode's ``cache-policy``): cache the tool schemas, the system
prompt, and the latest conversation message, capped at Anthropic's 4
breakpoints. We express it through LiteLLM's ``cache_control_injection_points``
— the ``AnthropicCacheControlHook`` fires on that kwarg and emits the
provider-appropriate breakpoint (Anthropic ``cache_control``; Bedrock
Converse ``cachePoint``). ``LitellmModel`` forwards ``ModelSettings.extra_args``
straight into ``litellm.acompletion()``, so passing the points there is all
that is required; this is the LiteLLM-config-layer approach the Agents SDK
maintainer prescribed over a native ``ModelSettings`` caching flag
(openai/openai-agents-python#3008 / #3009).
Returns ``None`` (a strict no-op — the hook never fires) for every route
that would not benefit or could break:
- non-Claude models, and
- Bedrock Claude routes LiteLLM can't confirm as cache-capable. Bedrock's
Converse API rejects unknown request fields outright
(``ValidationException: cache_control_injection_points: Extra inputs are
not permitted``) and LiteLLM only consumes the marker for models its
model map recognises; an unmapped Bedrock model would pass the marker
straight through and crash the first call. Only Bedrock hard-rejects, so
only Bedrock is guarded — gating Anthropic-native/Vertex/OpenRouter on
confirmed support would needlessly disable caching for capable models.
"""
if not is_claude_model(model_name):
return None
if is_bedrock_route(model_name) and not bedrock_route_supports_prompt_caching(model_name):
return None
points = _prompt_cache_injection_points(model_name)
return {"cache_control_injection_points": points}
def _prompt_cache_injection_points(model_name: str) -> list[dict[str, Any]]:
"""Cache breakpoints for a Claude route (system + tools + latest message).
At most 3 of Anthropic's 4 allowed breakpoints, leaving headroom:
- system prompt (``role: system``) — the largest repeated span.
- tool schemas (``tool_config``) — Bedrock Converse ONLY. LiteLLM's
``tool_config`` location is implemented solely by the Bedrock Converse
transform (which appends a ``cachePoint`` to the tool list); on any other
route it is not consumed and would leak onto the wire as an unknown
top-level ``cache_control_injection_points`` field. It is also redundant
elsewhere: Anthropic orders tools BEFORE the system prompt, so the system
breakpoint already caches the tool schemas in the shared prefix.
- latest message (``index: -1``) — a ROLLING breakpoint on the last
message. A scan transcript is append-only (prior turns are immutable, each
turn just appends new assistant/tool messages), so without it the growing
body is re-sent at full input price every turn and cache-read decays as a
denominator effect even though the prefix keeps hitting. Re-caching the
whole prefix-so-far each turn keeps cache-read high on long scans. (This
is the Strix analogue of opencode's ``latest-user-message``; ``index: -1``
tracks the true tail because Strix appends tool-role, not user-role,
messages each turn.)
Unrecognised locations degrade gracefully on older LiteLLM — they are simply
not injected (no error).
"""
points: list[dict[str, Any]] = [{"location": "message", "role": "system"}]
if is_bedrock_route(model_name):
points.append({"location": "tool_config"})
points.append({"location": "message", "index": -1})
return points
def child_initial_input(
*,
name: str,
+24 -2
View File
@@ -3,10 +3,12 @@
from __future__ import annotations
import contextlib
import io
import json
import logging
import uuid
from collections.abc import Callable
from pathlib import Path
from typing import TYPE_CHECKING, Any
from agents import RunConfig
@@ -40,6 +42,10 @@ from strix.core.paths import run_dir_for, runtime_state_dir
from strix.core.sessions import open_agent_session
from strix.runtime import session_manager
from strix.telemetry.logging import set_scan_id, setup_scan_logging
from strix.tools.output_store import (
WORKSPACE_SPILL_DIR,
configure_spill_writer,
)
if TYPE_CHECKING:
@@ -203,6 +209,20 @@ async def run_strix_scan(
)
logger.info("Sandbox ready for scan %s", scan_id)
sandbox_session = bundle["session"]
async def _spill_to_workspace(output_id: str, text: str) -> str | None:
"""Write an oversized tool result into the sandbox; return its path or None."""
path = f"{WORKSPACE_SPILL_DIR}/{output_id}.txt"
try:
await sandbox_session.write(Path(path), io.BytesIO(text.encode("utf-8")))
except Exception:
logger.exception("failed to spill tool output to sandbox workspace")
return None
return path
configure_spill_writer(_spill_to_workspace)
sessions_to_close: list[SQLiteSession] = []
try:
@@ -216,6 +236,7 @@ async def run_strix_scan(
model_name=resolved_model,
force_required_tool_choice=settings.llm.force_required_tool_choice,
request_timeout=settings.llm.timeout,
prompt_cache=settings.llm.prompt_cache,
)
run_config = RunConfig(
model=resolved_model,
@@ -238,7 +259,7 @@ async def run_strix_scan(
)
root_agent = build_strix_agent(
name="strix",
name="Strix",
skills=skills,
is_root=True,
scan_mode=scan_mode,
@@ -252,7 +273,7 @@ async def run_strix_scan(
if not is_resume:
await coordinator.register(
root_id,
"strix",
"Strix",
parent_id=None,
task=root_task,
skills=skills,
@@ -399,6 +420,7 @@ async def run_strix_scan(
await coordinator.set_status(root_id, "failed")
raise
finally:
configure_spill_writer(None)
for s in sessions_to_close:
with contextlib.suppress(Exception):
s.close()
+33
View File
@@ -92,6 +92,39 @@ async def _rewrite_session(
return True
async def replace_session_items(
session: Session,
new_items: list[Any],
*,
expected_len: int | None = None,
) -> bool:
"""Overwrite the session's items, restoring the originals on failure.
When ``expected_len`` is given, the rewrite is skipped if the session no
longer has that many items (a concurrent writer changed it), so a slow
compaction summary can't clobber newer turns.
"""
async with session_write_lock(session):
original = list(await session.get_items())
if expected_len is not None and len(original) != expected_len:
logger.warning(
"skipping session rewrite: expected %d items, found %d",
expected_len,
len(original),
)
return False
rebuilt = cast("list[TResponseInputItem]", new_items)
await session.clear_session()
try:
await session.add_items(rebuilt)
except Exception:
logger.exception("session rewrite failed; restoring original items")
await session.clear_session()
await session.add_items(original)
raise
return True
async def strip_all_images_from_session(session: Session) -> bool:
"""Replace every image tool output with a text placeholder (rejection recovery)."""
+419
View File
@@ -0,0 +1,419 @@
"""`strix auth` — ChatGPT subscription sign-in (login / status / logout).
Signing in only stores OAuth tokens (``~/.strix/subscription-auth.json``); model
selection stays with ``STRIX_LLM``. A ``chatgpt/<model>`` STRIX_LLM runs on the
subscription.
"""
from __future__ import annotations
import argparse
import base64
import logging
import threading
import webbrowser
from http.server import BaseHTTPRequestHandler, HTTPServer
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import parse_qs, urlparse
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from strix.config import codex, load_settings
if TYPE_CHECKING:
from collections.abc import Callable
logger = logging.getLogger(__name__)
_CALLBACK_TIMEOUT_S = 300
# CLI-facing name for the login provider. Internally this is the Codex OAuth
# flow (``codex.PROVIDER``), but users know it as ChatGPT, so that's what the
# command and messaging say. ``codex`` is accepted as an alias.
LOGIN_PROVIDER = "chatgpt"
_ACCEPTED_PROVIDERS = frozenset({LOGIN_PROVIDER, codex.PROVIDER})
_USAGE = "Usage:\n strix auth login chatgpt [--manual]\n strix auth status\n strix auth logout"
def run_auth(argv: list[str]) -> int:
"""Entry point for ``strix auth …``. Returns a process exit code."""
console = Console()
# Bare `strix auth` (no subcommand) defaults to login.
subcommand = argv[0] if argv else "login"
rest = argv[1:]
if subcommand in ("-h", "--help", "help"):
console.print(_USAGE)
return 0
handlers: dict[str, Callable[[], int]] = {
"login": lambda: _login(console, rest),
"status": lambda: _status(console),
"logout": lambda: _logout(console),
}
handler = handlers.get(subcommand)
if handler is not None:
return handler()
console.print(f"[red]Unknown auth command:[/] {subcommand}\n")
console.print(_USAGE)
return 2
def _login(console: Console, argv: list[str]) -> int:
parser = argparse.ArgumentParser(prog="strix auth login", add_help=True)
parser.add_argument(
"provider",
nargs="?",
default=LOGIN_PROVIDER,
help="Model provider to sign in with (default: chatgpt).",
)
parser.add_argument(
"--manual",
action="store_true",
help="Skip the local callback server and paste the redirect URL by hand.",
)
try:
args = parser.parse_args(argv)
except SystemExit as exc: # argparse already printed the message
return int(exc.code or 2)
if args.provider.lower() not in _ACCEPTED_PROVIDERS:
console.print(
f"[red]Unsupported provider:[/] {args.provider}. "
f"Only '{LOGIN_PROVIDER}' (ChatGPT subscription) is supported."
)
return 2
verifier, challenge = codex.generate_pkce()
state = codex.create_state()
authorize_url = codex.build_authorize_url(challenge, state)
console.print()
console.print("[bold]Signing in with ChatGPT[/] [dim](provider: chatgpt)[/]")
console.print(
"[dim]This uses your ChatGPT Plus/Pro plan for inference instead of a metered API key.[/]"
)
console.print()
try:
record = _run_oauth_flow(console, authorize_url, verifier, state, manual=args.manual)
except codex.CodexAuthError as exc:
return _fail(console, exc)
except KeyboardInterrupt:
console.print("\n[yellow]Sign-in cancelled.[/]")
return 130
codex.save_record(record)
_print_success(console)
return 0
def _run_oauth_flow(
console: Console,
authorize_url: str,
verifier: str,
state: str,
*,
manual: bool,
) -> dict[str, Any]:
"""Drive the browser (or manual) OAuth flow and return a token record."""
server = None if manual else _try_start_callback_server()
console.print("Open this URL in your browser to authorize:")
console.print(f"[cyan]{authorize_url}[/]")
console.print()
if not manual:
try:
webbrowser.open(authorize_url)
except Exception: # noqa: BLE001 - opening a browser is best-effort
logger.debug("could not open browser", exc_info=True)
if server is not None:
console.print("[dim]Waiting for you to finish signing in…[/]")
result = server.wait(_CALLBACK_TIMEOUT_S)
server.shutdown()
if result is not None:
code, returned_state, error = result
if error:
raise codex.CodexAuthError("oauth_error", error)
return _finish(code, returned_state, verifier, state, require_state=True)
console.print("[yellow]Timed out waiting for the browser. Falling back to manual paste.[/]")
# Manual fallback: the user completes sign-in and pastes the redirect URL
# (the browser lands on a localhost page that won't load if no server is up;
# the address bar still holds the code+state).
console.print()
try:
pasted = console.input("Paste the full redirect URL (or code#state): ").strip()
except EOFError as exc:
raise codex.CodexAuthError("no_input", "no redirect URL provided") from exc
code, returned_state = codex.parse_redirect_input(pasted)
return _finish(code, returned_state, verifier, state, require_state=False)
def _finish(
code: str | None,
returned_state: str | None,
verifier: str,
expected_state: str,
*,
require_state: bool,
) -> dict[str, Any]:
if not code:
raise codex.CodexAuthError("no_code", "no authorization code found in the redirect")
# The loopback callback from OpenAI always carries state, so a missing or
# mismatched value there is forged (CSRF) and must be rejected. Manual paste
# is user-initiated (the user copies their own redirect), so state is only
# validated when the pasted value includes it.
if require_state and returned_state is None:
raise codex.CodexAuthError("state_mismatch", "missing state in callback; possible CSRF")
if returned_state is not None and returned_state != expected_state:
raise codex.CodexAuthError("state_mismatch", "state did not match; possible CSRF")
return codex.exchange_code(code, verifier)
class _CallbackServer:
"""A one-shot local HTTP server that catches the OAuth redirect."""
def __init__(self, httpd: HTTPServer, event: threading.Event, holder: dict[str, Any]) -> None:
self._httpd = httpd
self._event = event
self._holder = holder
self._thread = threading.Thread(target=httpd.serve_forever, daemon=True)
self._thread.start()
def wait(self, timeout: float) -> tuple[str | None, str | None, str | None] | None:
if not self._event.wait(timeout):
return None
return (
self._holder.get("code"),
self._holder.get("state"),
self._holder.get("error"),
)
def shutdown(self) -> None:
self._httpd.shutdown()
self._httpd.server_close()
def _try_start_callback_server() -> _CallbackServer | None:
event = threading.Event()
holder: dict[str, Any] = {}
class Handler(BaseHTTPRequestHandler):
def log_message(self, *args: Any) -> None: # silence default stderr logging
pass
def do_GET(self) -> None:
parsed = urlparse(self.path)
if parsed.path != codex.CALLBACK_PATH:
self.send_response(404)
self.end_headers()
return
query = parse_qs(parsed.query)
holder["code"] = _first(query, "code")
holder["state"] = _first(query, "state")
holder["error"] = _first(query, "error_description") or _first(query, "error")
body = _render_callback_html().encode("utf-8")
self.send_response(200)
self.send_header("Content-Type", "text/html; charset=utf-8")
self.send_header("Content-Length", str(len(body)))
self.end_headers()
self.wfile.write(body)
event.set()
try:
httpd = HTTPServer(("127.0.0.1", codex.CALLBACK_PORT), Handler)
except OSError:
logger.debug("could not bind callback port %d", codex.CALLBACK_PORT, exc_info=True)
return None
return _CallbackServer(httpd, event, holder)
def _first(query: dict[str, list[str]], key: str) -> str | None:
values = query.get(key)
return values[0] if values else None
def _status(console: Console) -> int:
record = codex.read_record()
if record is None:
console.print("[yellow]Not signed in.[/] Run [cyan]strix auth login chatgpt[/] to sign in.")
return 1
settings = load_settings()
console.print("[green]Signed in[/] with a ChatGPT subscription.")
console.print(f" Account: [bold]{record.get('account_id')}[/]")
if codex.subscription_model(settings.llm.model):
console.print(f" Runs use the subscription (STRIX_LLM=[bold]{settings.llm.model}[/]).")
else:
console.print(
" [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.4[/] "
"to run on the subscription."
)
return 0
def _logout(console: Console) -> int:
codex.logout()
console.print("[green]Signed out.[/] Stored subscription credentials removed.")
return 0
def _fail(console: Console, exc: codex.CodexAuthError) -> int:
error_text = Text()
error_text.append("SIGN-IN FAILED", style="bold red")
error_text.append("\n\n", style="white")
error_text.append(f"{exc}", style="white")
console.print()
console.print(
Panel(
error_text,
title="[bold white]STRIX",
title_align="left",
border_style="red",
padding=(1, 2),
)
)
return 1
def _print_success(console: Console) -> None:
text = Text()
text.append("Signed in with your ChatGPT subscription", style="bold #22c55e")
text.append("\n\n", style="white")
text.append("Set ", style="white")
text.append("STRIX_LLM", style="bold white")
text.append(" to a ", style="white")
text.append("chatgpt/", style="bold cyan")
text.append(" model (e.g. ", style="white")
text.append("chatgpt/gpt-5.4", style="bold cyan")
text.append(") — runs are billed to your ChatGPT plan.", style="white")
text.append("\n\n", style="white")
text.append("Run a scan as usual, e.g. ", style="white")
text.append("strix --target https://example.com", style="bold cyan")
console.print()
console.print(
Panel(
text,
title="[bold white]STRIX",
title_align="left",
border_style="#22c55e",
padding=(1, 2),
)
)
console.print()
_LOGO_PATH = Path(__file__).resolve().parent.parent / "viewer" / "static" / "logo.png"
def _logo_img_tag() -> str:
"""Return an ``<img>`` for the Strix logo as an inline data URI, or "".
The callback page is served offline by the local OAuth server, so the logo
is embedded rather than linked. Missing/unreadable file degrades to just the
"Strix" wordmark.
"""
try:
data = _LOGO_PATH.read_bytes()
except OSError:
return ""
encoded = base64.b64encode(data).decode("ascii")
return f'<img class="logo" src="data:image/png;base64,{encoded}" alt="" />'
def _render_callback_html() -> str:
return _CALLBACK_HTML.replace("<!--LOGO-->", _logo_img_tag())
_CALLBACK_HTML = """<!doctype html>
<html lang="en"><head><meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Strix signed in</title>
<style>
:root { color-scheme: dark; }
* { box-sizing: border-box; }
body {
margin: 0; min-height: 100vh; padding: 24px;
font-family: 'Geist', 'Geist Sans', ui-sans-serif, system-ui, -apple-system,
"Segoe UI", Roboto, Helvetica, Arial, sans-serif;
-webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale;
background: #000; color: #ededed;
display: flex; flex-direction: column; align-items: center; justify-content: center;
}
.topbar {
position: absolute; top: 20px; left: 22px;
display: flex; align-items: center; gap: 6px; text-decoration: none;
}
.topbar .logo { width: 40px; height: 40px; display: block; }
.topbar span {
font-size: 1.1rem; font-weight: 600; letter-spacing: -.01em; color: #fff;
transition: color .15s ease;
}
.topbar:hover span { color: #c9c9c9; }
.brand {
font-size: 2.1rem; font-weight: 700; letter-spacing: -.02em; color: #fff;
text-align: center; margin: 0 0 10px;
}
h1 {
font-size: 1.35rem; font-weight: 600; letter-spacing: -.01em; color: #f5f5f5;
text-align: center; margin: 0 0 28px;
}
.card {
width: 100%; max-width: 430px; text-align: center;
background: #171717; border: 1px solid rgba(255, 255, 255, .06);
border-radius: 24px; padding: 40px 40px 34px;
}
.badge {
margin: 0 auto 22px; width: 52px; height: 52px; border-radius: 50%;
display: flex; align-items: center; justify-content: center; font-size: 23px; color: #fff;
background: rgba(255, 255, 255, .05); border: 1px solid rgba(255, 255, 255, .14);
}
.msg { margin: 0 auto; max-width: 34ch; color: #b5b5b5; line-height: 1.6; font-size: .98rem; }
.rule { height: 1px; background: rgba(255, 255, 255, .07); margin: 26px 0 0; }
.tagline { margin: 22px 0 0; color: #7c7c7c; font-size: .9rem; line-height: 1.55; }
.tagline b { color: #ededed; font-weight: 500; }
.links {
margin-top: 18px; display: flex; gap: 8px; justify-content: center;
align-items: center; flex-wrap: wrap; font-size: .84rem;
}
.links a { color: #a3a3a3; text-decoration: none; transition: color .15s ease; }
.links a:hover { color: #fff; }
.links .dot { color: #3a3a3a; }
.close { margin: 24px 0 0; color: #5a5a5a; font-size: .78rem; text-align: center; }
</style></head>
<body>
<a class="topbar" href="https://strix.ai" target="_blank" rel="noopener"
aria-label="Strix — strix.ai">
<!--LOGO-->
<span>Strix</span>
</a>
<div class="brand">Strix</div>
<h1>You're signed in</h1>
<main class="card">
<div class="badge"></div>
<p class="msg">Strix is connected to your ChatGPT subscription. Head back to your
terminal your security test runs there.</p>
<div class="rule"></div>
<p class="tagline">Autonomous AI hackers that <b>find and fix</b> your app's
vulnerabilities.</p>
<nav class="links">
<a href="https://strix.ai" target="_blank" rel="noopener">strix.ai</a>
<span class="dot">·</span>
<a href="https://docs.strix.ai" target="_blank" rel="noopener">docs</a>
<span class="dot">·</span>
<a href="https://discord.gg/strix-ai" target="_blank" rel="noopener">community</a>
</nav>
</main>
<p class="close">You can close this tab.</p>
</body></html>"""
__all__ = ["run_auth"]
+129 -70
View File
@@ -5,9 +5,9 @@ Strix Agent Interface
import argparse
import asyncio
import os
import shutil
import sys
import time
from datetime import UTC, datetime
from pathlib import Path
@@ -20,6 +20,7 @@ from rich.text import Text
from strix.config import (
apply_config_override,
codex,
load_settings,
persist_current,
)
@@ -33,6 +34,13 @@ from strix.config.models import (
from strix.core.paths import run_dir_for, runtime_state_dir
from strix.interface.cli import run_cli
from strix.interface.tui import run_tui
from strix.interface.update_check import (
is_binary_install,
notify_update,
prompt_update_if_available,
self_update,
start_background_check,
)
from strix.interface.utils import (
assign_workspace_subdirs,
build_final_stats_text,
@@ -85,6 +93,16 @@ def validate_environment() -> None:
settings = load_settings()
if codex.subscription_model(settings.llm.model):
if not codex.is_authenticated():
console.print(
f"[red]STRIX_LLM={settings.llm.model} uses your ChatGPT subscription, "
"but you're not signed in.[/] Run [cyan]strix auth login chatgpt[/] first."
)
sys.exit(1)
logger.info("Environment OK (ChatGPT subscription)")
return
if not settings.llm.model:
missing_required_vars.append("STRIX_LLM")
@@ -267,6 +285,29 @@ def _provider_import_hint(exc: BaseException, model: str) -> str | None:
return None
def _subscription_error_hint(exc: BaseException) -> str | None:
"""Return an actionable hint for a known ChatGPT-subscription error, or None."""
if not codex.subscription_model(load_settings().llm.model):
return None
joined = " ".join(_exception_messages(exc)).lower()
if "not supported when using codex with a chatgpt account" in joined:
return (
"This model isn't available on your ChatGPT subscription. "
"Set STRIX_LLM to a model your plan includes (e.g. chatgpt/gpt-5.4)."
)
if (
"error code: 401" in joined
or "http 401" in joined
or "unauthorized" in joined
or "invalid_grant" in joined
):
return (
"Your ChatGPT sign-in has expired or was revoked. Sign in again:\n"
" strix auth login chatgpt"
)
return None
async def warm_up_llm(show_model_warning: bool = True) -> None:
console = Console()
logger.info("Warming up LLM connection")
@@ -276,8 +317,8 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
settings = load_settings()
configure_sdk_model_defaults(settings)
llm = settings.llm
raw_model = (llm.model or "").strip()
if (
raw_model
and "/" not in raw_model
@@ -353,23 +394,63 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
)
logger.info("LLM warm-up succeeded for model %s", (llm.model or "").strip())
if settings.dedupe.model:
from strix.report.dedupe import _dedupe_extra_args
dedupe_model = settings.dedupe.model.strip()
raw_model = dedupe_model
deduper = StrixProvider().get_model(dedupe_model)
# Match the runtime path: send the dedupe key/endpoint per call so a
# separate-provider dedupe model authenticates during warm-up too.
deduper_extra = _dedupe_extra_args(settings.dedupe)
deduper_settings = ModelSettings(extra_args=deduper_extra or None)
await asyncio.wait_for(
deduper.get_response(
system_instructions="You are a helpful assistant.",
input="Reply with just 'OK'.",
model_settings=deduper_settings,
tools=[],
output_schema=None,
handoffs=[],
tracing=ModelTracing.DISABLED,
previous_response_id=None,
conversation_id=None,
prompt=None,
),
timeout=llm.timeout,
)
logger.info("LLM warm-up succeeded for dedupe model %s", dedupe_model)
except Exception as e:
logger.exception("LLM warm-up failed")
error_text = Text()
error_text.append("LLM CONNECTION FAILED", style="bold red")
error_text.append("\n\n", style="white")
error_text.append("Could not establish connection to the language model.\n", style="white")
error_text.append("Please check your configuration and try again.\n", style="white")
hint = _provider_import_hint(e, raw_model)
if hint is not None:
error_text.append(f"\n{hint}\n", style="bold yellow")
error_text.append(f"\nError: {e}", style="dim white")
sub_hint = _subscription_error_hint(e)
if sub_hint is not None:
# The model/backend answered with a clear, actionable rejection —
# show that instead of a generic "connection failed".
border_style = "yellow"
error_text.append("MODEL NOT AVAILABLE ON SUBSCRIPTION", style="bold yellow")
error_text.append("\n\n", style="white")
error_text.append(f"{sub_hint}\n", style="white")
error_text.append(f"\nDetails: {e}", style="dim white")
else:
border_style = "red"
error_text.append("LLM CONNECTION FAILED", style="bold red")
error_text.append("\n\n", style="white")
error_text.append(
"Could not establish connection to the language model.\n", style="white"
)
error_text.append("Please check your configuration and try again.\n", style="white")
hint = _provider_import_hint(e, raw_model)
if hint is not None:
error_text.append(f"\n{hint}\n", style="bold yellow")
error_text.append(f"\nError: {e}", style="dim white")
panel = Panel(
error_text,
title="[bold white]STRIX",
title_align="left",
border_style="red",
border_style=border_style,
padding=(1, 2),
)
@@ -448,6 +529,14 @@ Examples:
version=f"strix {get_version()}",
)
parser.add_argument(
"--update",
action="store_true",
help="Update strix to the latest version and exit. Self-updates the "
"standalone binary install; for pip/pipx/uv installs, prints the "
"matching upgrade command instead.",
)
parser.add_argument(
"-t",
"--target",
@@ -566,6 +655,9 @@ Examples:
args = parser.parse_args()
if args.update:
sys.exit(0 if self_update() else 1)
if args.instruction and args.instruction_file:
parser.error(
"Cannot specify both --instruction and --instruction-file. Use one or the other."
@@ -664,6 +756,7 @@ def _persist_run_record(args: argparse.Namespace) -> None:
"status": "running",
"start_time": datetime.now(UTC).isoformat(),
"end_time": None,
"auth_mode": codex.auth_mode(load_settings().llm.model),
"targets_info": args.targets_info,
"scan_mode": args.scan_mode,
"instruction": args.instruction,
@@ -721,9 +814,7 @@ def _load_resume_state(args: argparse.Namespace, parser: argparse.ArgumentParser
args.scan_mode = persisted_scan_mode
def display_completion_message(
args: argparse.Namespace, results_path: Path, web_url: str | None = None
) -> None:
def display_completion_message(args: argparse.Namespace, results_path: Path) -> None:
console = Console()
report_state = get_global_report_state()
@@ -762,28 +853,12 @@ def display_completion_message(
results_text.append(str(results_path), style="#60a5fa")
panel_parts.extend(["\n", results_text])
if web_url:
web_text = Text()
web_text.append("\n")
web_text.append("View in web", style="dim")
web_text.append(" ")
# OSC-8 hyperlink: clickable in modern terminals, falls back to the URL.
web_text.append(web_url, style=f"#60a5fa link {web_url}")
panel_parts.extend(["\n", web_text])
reopen_text = Text()
reopen_text.append("\n")
reopen_text.append("Reopen", style="dim")
reopen_text.append(" ")
reopen_text.append(f"strix view {args.run_name}", style="#22c55e")
panel_parts.extend(["\n", reopen_text])
else:
view_text = Text()
view_text.append("\n")
view_text.append("View", style="dim")
view_text.append(" ")
view_text.append(f"strix view {args.run_name}", style="#22c55e")
panel_parts.extend(["\n", view_text])
view_text = Text()
view_text.append("\n")
view_text.append("View", style="dim")
view_text.append(" ")
view_text.append(f"strix view {args.run_name}", style="#22c55e")
panel_parts.extend(["\n", view_text])
if not scan_completed:
resume_text = Text()
@@ -814,6 +889,8 @@ def display_completion_message(
"[#60a5fa]discord.gg/strix-ai[/]"
)
console.print()
if not args.non_interactive:
notify_update(console)
def pull_docker_image() -> None:
@@ -875,16 +952,29 @@ def main() -> None:
# `strix view [<run>]` is a viewer-only subcommand, dispatched before the
# scan argument parser (which requires a target) and before any scan setup.
if len(sys.argv) > 1 and sys.argv[1] == "view":
from strix.viewer.cli import run_view
from strix.interface.viewer.cli import run_view
run_view(sys.argv[2:])
return
# `strix auth …` manages model-subscription sign-in and exits; it needs no
# target, Docker, or scan setup.
if len(sys.argv) > 1 and sys.argv[1] == "auth":
from strix.interface.auth_cli import run_auth
sys.exit(run_auth(sys.argv[2:]))
args = parse_arguments()
if args.config:
apply_config_override(validate_config_file(args.config))
start_background_check()
if not args.non_interactive and prompt_update_if_available(Console()):
if is_binary_install() and sys.platform != "win32":
os.execv(sys.executable, sys.argv) # noqa: S606 # nosec B606
sys.exit(0)
check_docker_installed()
pull_docker_image()
@@ -941,6 +1031,7 @@ def main() -> None:
_telemetry_start_kwargs = {
"model": load_settings().llm.model,
"auth_mode": codex.auth_mode(load_settings().llm.model),
"scan_mode": args.scan_mode,
"is_whitebox": is_whitebox_scan(args.targets_info),
"interactive": not args.non_interactive,
@@ -975,39 +1066,7 @@ def main() -> None:
results_path = run_dir_for(args.run_name)
# For an interactive run, host the local viewer so the completion panel can
# show a clickable "View in web" link. Skipped in non-interactive/CI runs
# (no TTY to serve and it would block the process).
viewer_httpd = None
web_url = None
if not args.non_interactive and sys.stdout.isatty():
from strix.viewer.server import authorized_url, bundle_is_built, serve
if bundle_is_built():
try:
viewer_httpd, base_url, token = serve(results_path, open_browser=False)
# The completion panel's "View in web" link must authorize the
# browser, so hand it the tokened URL rather than the bare host.
web_url = authorized_url(base_url, token)
posthog.viewer_opened(source="post_scan", live=False)
except Exception:
logger.debug("could not start local viewer", exc_info=True)
viewer_httpd, web_url = None, None
display_completion_message(args, results_path, web_url=web_url)
if viewer_httpd is not None:
console = Console()
console.print("[dim]Hosting the local viewer. Press Ctrl-C to stop.[/]")
console.print()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
console.print("\n[dim]Viewer stopped.[/]")
finally:
viewer_httpd.shutdown()
viewer_httpd.server_close()
display_completion_message(args, results_path)
if args.non_interactive:
report_state = get_global_report_state()
+40 -16
View File
@@ -42,6 +42,12 @@ from strix.interface.tui.renderers.agent_message_renderer import AgentMessageRen
from strix.interface.tui.renderers.user_message_renderer import UserMessageRenderer
from strix.interface.utils import build_tui_stats_text
from strix.report.state import ReportState, set_global_report_state
from strix.report.writer import (
guess_language_name,
parse_fenced_code,
resolve_lexer,
safe_fence,
)
from strix.runtime import session_manager
@@ -330,12 +336,11 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
return "#65a30d"
return "#6b7280"
def _highlight_python(self, code: str) -> Text:
def _highlight_python(self, code: str, language: str | None = None) -> Text:
try:
from pygments.lexers import PythonLexer
from pygments.styles import get_style_by_name
lexer = PythonLexer()
lexer = resolve_lexer(language, code)
style = get_style_by_name("native")
colors = {
token: f"#{style_def['color']}" for token, style_def in style if style_def["color"]
@@ -501,10 +506,11 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
poc_script_code = vuln.get("poc_script_code", "")
if poc_script_code:
poc_language, poc_code = parse_fenced_code(poc_script_code)
text.append("\n\n")
text.append("PoC Code", style=self.FIELD_STYLE)
text.append("\n")
text.append_text(self._highlight_python(poc_script_code))
text.append_text(self._highlight_python(poc_code, poc_language))
remediation_steps = vuln.get("remediation_steps", "")
if remediation_steps:
@@ -601,9 +607,12 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
lines.append(vuln["poc_description"])
lines.append("")
if vuln.get("poc_script_code"):
lines.append("```python")
lines.append(vuln["poc_script_code"])
lines.append("```")
poc_language, poc_code = parse_fenced_code(vuln["poc_script_code"])
fence_lang = poc_language or guess_language_name(poc_code)
fence = safe_fence(poc_code)
lines.append(f"{fence}{fence_lang}")
lines.append(poc_code)
lines.append(fence)
if vuln.get("code_locations"):
lines.extend(["", "## Code Analysis", ""])
@@ -619,7 +628,9 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
if loc.get("label"):
lines.append(f" {loc['label']}")
if loc.get("snippet"):
lines.append(f"```\n{loc['snippet']}\n```")
snippet = str(loc["snippet"])
snippet_fence = safe_fence(snippet)
lines.append(f"{snippet_fence}\n{snippet}\n{snippet_fence}")
if loc.get("fix_before") or loc.get("fix_after"):
lines.append("**Suggested Fix:**")
lines.append("```diff")
@@ -802,6 +813,7 @@ class StrixTUIApp(App): # type: ignore[misc]
self._scan_stop_event = threading.Event()
self._scan_completed = threading.Event()
self._scan_error: BaseException | None = None
self._error_noted_agents: set[str] = set()
self._spinner_frame_index: int = 0
self._sweep_num_squares: int = 6
@@ -1015,22 +1027,32 @@ class StrixTUIApp(App): # type: ignore[misc]
else:
self._agent_graph_sync_future = None
try:
parent_of, statuses, names = future.result()
parent_of, statuses, names, errors = future.result()
except Exception:
logger.exception("TUI agent graph sync failed")
else:
for agent_id, status in statuses.items():
error = errors.get(agent_id)
self.live_view.upsert_agent(
agent_id,
name=names.get(agent_id, agent_id),
parent_id=parent_of.get(agent_id),
status=status,
error_message=error,
)
if status in {"failed", "crashed"} and error:
if agent_id not in self._error_noted_agents:
self._error_noted_agents.add(agent_id)
self.live_view.record_agent_error(agent_id, error)
else:
self._error_noted_agents.discard(agent_id)
if self._scan_loop is None or self._scan_loop.is_closed():
return
async def collect() -> tuple[dict[str, str | None], dict[str, Any], dict[str, str]]:
async def collect() -> tuple[
dict[str, str | None], dict[str, Any], dict[str, str], dict[str, str]
]:
return await self.coordinator.graph_snapshot()
self._agent_graph_sync_future = asyncio.run_coroutine_threadsafe(collect(), self._scan_loop)
@@ -1049,6 +1071,7 @@ class StrixTUIApp(App): # type: ignore[misc]
"waiting": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1234,13 +1257,12 @@ class StrixTUIApp(App): # type: ignore[misc]
text.append(msg)
return (text, Text(), False)
if status == "failed":
if status in {"failed", "crashed"}:
error_msg = agent_data.get("error_message", "")
text = Text()
if error_msg:
text.append(error_msg, style="red")
else:
text.append("Scan failed", style="red")
text.append(error_msg or "Agent failed", style="red")
text.append(" · ", style="dim")
text.append("Send message to resume", style="dim")
self._stop_dot_animation()
return (text, Text(), False)
@@ -1539,6 +1561,7 @@ class StrixTUIApp(App): # type: ignore[misc]
"waiting": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1584,6 +1607,7 @@ class StrixTUIApp(App): # type: ignore[misc]
"waiting": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1838,7 +1862,7 @@ class StrixTUIApp(App): # type: ignore[misc]
webbrowser.open(self._viewer_url)
return
try:
from strix.viewer.server import authorized_url, bundle_is_built, serve
from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
if not bundle_is_built():
self._set_viewer_cta("[#eab308]Viewer UI not built[/]")
+11
View File
@@ -86,6 +86,17 @@ class TuiLiveView:
current["error_message"] = error_message
current["updated_at"] = now
def record_agent_error(self, agent_id: str, error: str) -> None:
self._append_event(
agent_id,
"chat",
{
"role": "assistant",
"content": (f"An error occurred: {error}\nI'm now waiting for new instructions."),
"metadata": {"source": "agent_error"},
},
)
def record_user_message(self, agent_id: str, content: str) -> None:
self._append_event(
agent_id,
@@ -7,6 +7,13 @@ from .base_renderer import BaseToolRenderer
from .registry import register_tool_renderer
def _author_label(note: dict[str, Any]) -> str:
if note.get("by_you"):
return "you"
agent_name = note.get("agent_name")
return str(agent_name).strip() if agent_name else ""
@register_tool_renderer
class CreateNoteRenderer(BaseToolRenderer):
tool_name: ClassVar[str] = "create_note"
@@ -123,6 +130,9 @@ class ListNotesRenderer(BaseToolRenderer):
text.append("\n - ")
text.append(title)
text.append(f" ({category})", style="dim")
author = _author_label(note)
if author:
text.append(f" by {author}", style="dim")
if note_content:
text.append("\n ")
@@ -156,6 +166,9 @@ class GetNoteRenderer(BaseToolRenderer):
text.append("\n ")
text.append(title)
text.append(f" ({category})", style="dim")
author = _author_label(note)
if author:
text.append(f" by {author}", style="dim")
if content:
text.append("\n ")
text.append(content, style="dim")
@@ -1,11 +1,12 @@
from functools import cache
from typing import Any, ClassVar
from pygments.lexers import PythonLexer
from pygments.styles import get_style_by_name
from rich.text import Text
from textual.widgets import Static
from strix.report.writer import parse_fenced_code, resolve_lexer
from .base_renderer import BaseToolRenderer
from .registry import register_tool_renderer
@@ -61,8 +62,8 @@ class CreateVulnerabilityReportRenderer(BaseToolRenderer):
return None
@classmethod
def _highlight_python(cls, code: str) -> Text:
lexer = PythonLexer()
def _highlight_code(cls, code: str, language: str | None) -> Text:
lexer = resolve_lexer(language, code)
text = Text()
for token_type, token_value in lexer.get_tokens(code):
@@ -234,10 +235,11 @@ class CreateVulnerabilityReportRenderer(BaseToolRenderer):
text.append(poc_description)
if poc_script_code:
poc_language, poc_code = parse_fenced_code(poc_script_code)
text.append("\n\n")
text.append("PoC Code", style=FIELD_STYLE)
text.append("\n")
text.append_text(cls._highlight_python(poc_script_code))
text.append_text(cls._highlight_code(poc_code, poc_language))
if remediation_steps:
text.append("\n\n")
@@ -429,3 +431,117 @@ class CreateDependencyReportRenderer(BaseToolRenderer):
css_classes = cls.get_css_classes("completed")
return Static(padded, classes=css_classes)
_LIST_SEVERITY_COLORS = {
"critical": "#dc2626",
"high": "#ea580c",
"medium": "#d97706",
"low": "#65a30d",
"info": "#0284c7",
"none": "#6b7280",
}
def _severity_style(severity: Any) -> str:
return _LIST_SEVERITY_COLORS.get(str(severity or "").lower(), "#d97706")
def _author_label(report: dict[str, Any]) -> str:
if report.get("by_you"):
return "you"
agent_name = report.get("agent_name")
return str(agent_name).strip() if agent_name else ""
@register_tool_renderer
class ListReportsRenderer(BaseToolRenderer):
tool_name: ClassVar[str] = "list_reports"
css_classes: ClassVar[list[str]] = ["tool-call", "reporting-tool"]
@classmethod
def render(cls, tool_data: dict[str, Any]) -> Static:
result = _coerce_dict(tool_data.get("result"))
text = Text()
text.append("", style="#ef4444")
text.append("reports", style="dim")
if isinstance(tool_data.get("result"), str) and str(tool_data["result"]).strip():
text.append("\n ")
text.append(str(tool_data["result"]).strip(), style="dim")
elif result.get("success"):
total = result.get("total_count", 0)
reports = _coerce_list_of_dicts(result.get("reports"))
counts = _coerce_dict(result.get("severity_counts"))
text.append(f" ({total})", style="dim")
for sev, count in counts.items():
text.append(" ")
text.append(f"{sev} {count}", style=_severity_style(sev))
if not reports:
text.append("\n ")
text.append("No reports filed yet", style="dim")
else:
for report in reports:
rid = str(report.get("id", "")).strip()
title = str(report.get("title", "")).strip() or "(untitled)"
severity = str(report.get("severity", "")).strip()
text.append("\n - ")
if severity:
text.append(severity.upper(), style=f"bold {_severity_style(severity)}")
text.append(" ")
if rid:
text.append(f"{rid} ", style="dim")
text.append(title)
author = _author_label(report)
if author:
text.append(f" ({author})", style="dim")
else:
text.append("\n ")
text.append("Loading...", style="dim")
css_classes = cls.get_css_classes("completed")
return Static(text, classes=css_classes)
@register_tool_renderer
class GetReportRenderer(BaseToolRenderer):
tool_name: ClassVar[str] = "get_report"
css_classes: ClassVar[list[str]] = ["tool-call", "reporting-tool"]
@classmethod
def render(cls, tool_data: dict[str, Any]) -> Static:
result = _coerce_dict(tool_data.get("result"))
text = Text()
text.append("", style="#ef4444")
text.append("report read", style="dim")
report = _coerce_dict(result.get("report")) if result.get("success") else {}
if report:
rid = str(report.get("id", "")).strip()
title = str(report.get("title", "")).strip() or "(untitled)"
severity = str(report.get("severity", "")).strip()
text.append("\n ")
if severity:
text.append(severity.upper(), style=f"bold {_severity_style(severity)}")
text.append(" ")
if rid:
text.append(f"{rid} ", style="dim")
text.append(title)
author = _author_label(report)
if author:
text.append(f" ({author})", style="dim")
target = str(report.get("target", "")).strip()
if target:
text.append("\n ")
text.append(target, style="dim")
else:
text.append("\n ")
detail = result.get("error") if result.get("success") is False else None
text.append(str(detail) if detail else "Loading...", style="dim")
css_classes = cls.get_css_classes("completed")
return Static(text, classes=css_classes)
+389
View File
@@ -0,0 +1,389 @@
"""Update notifications and self-update for the strix CLI.
Follows the pattern used by tools like gh, uv, and pip: a background,
rate-limited (once per 24h) check against the release source, a cached
result in ``~/.strix``, a non-intrusive notice with the upgrade command
for the detected install method, and a ``strix --update`` self-update
path for the standalone binary install.
"""
from __future__ import annotations
import hashlib
import json
import logging
import os
import platform
import shutil
import stat
import subprocess
import sys
import tarfile
import tempfile
import threading
import time
import zipfile
from pathlib import Path
from typing import cast
import requests
from rich.console import Console
from rich.prompt import Prompt
from strix.telemetry._common import get_version
logger = logging.getLogger(__name__)
GITHUB_REPO = "usestrix/strix"
PYPI_PACKAGE = "strix-agent"
CHECK_INTERVAL_SECONDS = 24 * 60 * 60
REQUEST_TIMEOUT_SECONDS = 5
_CACHE_PATH = Path.home() / ".strix" / "update-check.json"
_background_thread: threading.Thread | None = None
def _is_disabled() -> bool:
return bool(os.environ.get("STRIX_NO_UPDATE_CHECK")) or any(
os.environ.get(key)
for key in ("CI", "GITHUB_ACTIONS", "GITLAB_CI", "JENKINS_URL", "BUILDKITE", "CIRCLECI")
)
def is_binary_install() -> bool:
return bool(getattr(sys, "frozen", False))
def get_install_method() -> str:
if is_binary_install():
return "binary"
prefix = str(Path(sys.prefix)).replace("\\", "/")
if "/pipx/" in prefix or prefix.endswith("/pipx"):
return "pipx"
if "/uv/tools/" in prefix:
return "uv"
return "pip"
def get_upgrade_command(method: str | None = None) -> str:
method = method or get_install_method()
commands = {
"binary": "strix --update",
"pipx": "pipx upgrade strix-agent",
"uv": "uv tool upgrade strix-agent",
"pip": "pip install --upgrade strix-agent",
}
return commands[method]
def _parse_version(value: str) -> tuple[int, ...] | None:
parts = value.strip().lstrip("v").split(".")
try:
return tuple(int(part) for part in parts)
except ValueError:
return None
def _is_newer(latest: str, current: str) -> bool:
latest_parts = _parse_version(latest)
current_parts = _parse_version(current)
if latest_parts is None or current_parts is None:
return False
return latest_parts > current_parts
def _fetch_latest_version() -> str | None:
try:
if is_binary_install():
response = requests.get(
f"https://api.github.com/repos/{GITHUB_REPO}/releases/latest",
timeout=REQUEST_TIMEOUT_SECONDS,
)
response.raise_for_status()
tag = response.json().get("tag_name", "")
return tag.lstrip("v") or None
response = requests.get(
f"https://pypi.org/pypi/{PYPI_PACKAGE}/json",
timeout=REQUEST_TIMEOUT_SECONDS,
)
response.raise_for_status()
version = response.json().get("info", {}).get("version")
return str(version) if version else None
except Exception: # noqa: BLE001
logger.debug("update check failed", exc_info=True)
return None
def _fetch_asset_digest(version: str, filename: str) -> str | None:
"""Return the expected sha256 (hex) for a release asset, if the API provides one."""
try:
response = requests.get(
f"https://api.github.com/repos/{GITHUB_REPO}/releases/tags/v{version}",
timeout=REQUEST_TIMEOUT_SECONDS,
)
response.raise_for_status()
for asset in response.json().get("assets", []):
if asset.get("name") == filename:
digest = asset.get("digest") or ""
if digest.startswith("sha256:"):
return digest.removeprefix("sha256:")
except Exception: # noqa: BLE001
logger.debug("release asset digest lookup failed", exc_info=True)
return None
def _sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as f:
for chunk in iter(lambda: f.read(1 << 20), b""):
digest.update(chunk)
return digest.hexdigest()
def _read_cache() -> dict[str, object]:
try:
with _CACHE_PATH.open(encoding="utf-8") as f:
data = json.load(f)
if isinstance(data, dict):
return cast("dict[str, object]", data)
except Exception: # noqa: BLE001, S110
pass # nosec B110
return {}
def _write_cache(**fields: object) -> None:
try:
cache = _read_cache()
cache.update(fields)
_CACHE_PATH.parent.mkdir(parents=True, exist_ok=True)
_CACHE_PATH.write_text(json.dumps(cache), encoding="utf-8")
except Exception: # noqa: BLE001, S110
pass # nosec B110
def skip_version(version: str) -> None:
"""Remember not to prompt again for this version (newer releases still notify)."""
_write_cache(skipped_version=version)
def _refresh_cache() -> None:
latest = _fetch_latest_version()
if latest:
_write_cache(latest_version=latest, checked_at=time.time())
def start_background_check() -> None:
"""Refresh the cached latest-version info in a daemon thread (at most once per 24h)."""
global _background_thread # noqa: PLW0603
if _is_disabled():
return
cache = _read_cache()
checked_at = cache.get("checked_at")
if isinstance(checked_at, int | float) and time.time() - checked_at < CHECK_INTERVAL_SECONDS:
return
_background_thread = threading.Thread(target=_refresh_cache, daemon=True)
_background_thread.start()
def get_available_update(*, respect_skip: bool = True) -> str | None:
"""Return the newer version from the cache, or None if up to date / unknown."""
if _is_disabled():
return None
if _background_thread is not None:
_background_thread.join(timeout=0.2)
cache = _read_cache()
latest = cache.get("latest_version")
current = get_version()
if not isinstance(latest, str) or current == "unknown" or not _is_newer(latest, current):
return None
if respect_skip and cache.get("skipped_version") == latest:
return None
return latest
def notify_update(console: Console) -> None:
latest = get_available_update()
if not latest:
return
console.print(
f"[#eab308]A new version of strix is available:[/] "
f"[dim]{get_version()}[/] [dim]→[/] [bold #22c55e]{latest}[/]"
f" [dim]·[/] [#60a5fa]{get_upgrade_command()}[/]"
)
console.print()
def run_package_upgrade(console: Console, method: str) -> bool:
"""Upgrade a package-manager install by running its upgrade command."""
command = get_upgrade_command(method).split()
console.print(f"[dim]Running[/] [#60a5fa]{' '.join(command)}[/]")
try:
result = subprocess.run(command, check=False) # noqa: S603
except OSError as e:
console.print(f"[bold red]Update failed:[/] {e}")
return False
if result.returncode != 0:
console.print(
f"[bold red]Update failed[/] [dim](exit code {result.returncode}).[/] "
f"Run it manually: [#60a5fa]{get_upgrade_command(method)}[/]"
)
return False
console.print("[#22c55e]✓ strix updated — restart the scan to use the new version[/]")
return True
def prompt_update_if_available(console: Console) -> bool:
"""Offer an interactive update before a scan starts.
Returns True if strix was updated (caller should re-exec / exit).
"""
latest = get_available_update()
if not latest or not sys.stdin.isatty() or not sys.stdout.isatty():
return False
console.print()
console.print(
f"[#eab308]A new version of strix is available:[/] "
f"[dim]{get_version()}[/] [dim]→[/] [bold #22c55e]{latest}[/]"
)
console.print(
"[dim] y — update now n — not now (ask again next run) s — skip this version[/]"
)
choice = Prompt.ask("Update strix?", choices=["y", "n", "s"], default="n")
console.print()
if choice == "s":
skip_version(latest)
return False
if choice != "y":
return False
method = get_install_method()
if method == "binary":
return self_update(console, version=latest)
return run_package_upgrade(console, method)
def _release_target() -> str | None:
raw_os = platform.system().lower()
os_name = {"darwin": "macos", "linux": "linux", "windows": "windows"}.get(raw_os)
arch = platform.machine().lower()
arch = {"aarch64": "arm64", "amd64": "x86_64"}.get(arch, arch)
if os_name is None:
return None
target = f"{os_name}-{arch}"
supported = {"linux-x86_64", "macos-x86_64", "macos-arm64", "windows-x86_64"}
return target if target in supported else None
def _download_and_replace(version: str, target: str, console: Console) -> bool:
is_windows = target.startswith("windows")
archive_ext = ".zip" if is_windows else ".tar.gz"
filename = f"strix-{version}-{target}{archive_ext}"
url = f"https://github.com/{GITHUB_REPO}/releases/download/v{version}/{filename}"
binary_name = f"strix-{version}-{target}" + (".exe" if is_windows else "")
current_exe = Path(sys.executable).resolve()
with tempfile.TemporaryDirectory() as tmp:
tmp_dir = Path(tmp)
archive_path = tmp_dir / filename
console.print(f"[dim]Downloading[/] {url}")
with requests.get( # nosec B113
url,
stream=True,
timeout=REQUEST_TIMEOUT_SECONDS * 12,
) as response:
response.raise_for_status()
with archive_path.open("wb") as f:
for chunk in response.iter_content(chunk_size=1 << 20):
f.write(chunk)
expected_digest = _fetch_asset_digest(version, filename)
if expected_digest:
actual_digest = _sha256_file(archive_path)
if actual_digest != expected_digest:
raise RuntimeError(
f"checksum mismatch for {filename}: "
f"expected sha256 {expected_digest}, got {actual_digest}"
)
else:
console.print("[dim yellow]No published checksum available; skipping verification[/]")
if is_windows:
with zipfile.ZipFile(archive_path) as zf:
zf.extract(binary_name, tmp_dir)
else:
with tarfile.open(archive_path, "r:gz") as tf:
tf.extract(binary_name, tmp_dir, filter="data")
new_binary = tmp_dir / binary_name
new_binary.chmod(new_binary.stat().st_mode | stat.S_IXUSR | stat.S_IXGRP | stat.S_IXOTH)
staged = current_exe.with_name(current_exe.name + ".new")
try:
shutil.copy2(new_binary, staged)
if is_windows:
# Windows can't replace a running executable in place; move it aside first.
old = current_exe.with_name(current_exe.name + ".old")
old.unlink(missing_ok=True)
current_exe.rename(old)
try:
staged.replace(current_exe)
except Exception:
old.rename(current_exe)
raise
else:
staged.replace(current_exe)
except Exception:
staged.unlink(missing_ok=True)
raise
return True
def self_update(console: Console | None = None, version: str | None = None) -> bool:
"""Replace the running standalone binary with the latest release.
Returns True on success. For package-manager installs this only
prints the right upgrade command and returns False.
"""
console = console or Console()
if not is_binary_install():
method = get_install_method()
console.print(
f"[#eab308]This strix was installed via {method};[/] "
f"upgrade it with: [#60a5fa]{get_upgrade_command(method)}[/]"
)
return False
latest = version or _fetch_latest_version()
if not latest:
console.print("[bold red]Could not determine the latest strix version.[/]")
return False
current = get_version()
if current != "unknown" and not _is_newer(latest, current):
console.print(f"[#22c55e]strix {current} is already the latest version.[/]")
return True
target = _release_target()
if not target:
console.print(
f"[bold red]No prebuilt binary for this platform "
f"({platform.system()}/{platform.machine()}).[/]"
)
return False
try:
_download_and_replace(latest, target, console)
except Exception as e: # noqa: BLE001
logger.debug("self-update failed", exc_info=True)
console.print(f"[bold red]Update failed:[/] {e}")
console.print(
"[dim]You can reinstall manually with:[/] "
"[#60a5fa]curl -sSL https://strix.ai/install | bash[/]"
)
return False
_write_cache(latest_version=latest, checked_at=time.time())
console.print(f"[#22c55e]✓ Updated strix to {latest}[/]")
return True
+38 -6
View File
@@ -253,6 +253,20 @@ def _llm_usage(report_state: Any) -> dict[str, Any]:
return usage if isinstance(usage, dict) else {}
def _is_subscription(report_state: Any) -> bool:
"""Whether this run uses a model subscription (no metered cost).
Prefers the run record so it's correct for hydrated/resumed runs; falls back
to current settings.
"""
record = getattr(report_state, "run_record", None)
if isinstance(record, dict) and record.get("auth_mode"):
return record.get("auth_mode") == "subscription"
from strix.config import codex
return codex.auth_mode(load_settings().llm.model) == "subscription"
def _int_stat(usage: dict[str, Any], key: str) -> int:
try:
return max(0, int(usage.get(key) or 0))
@@ -283,11 +297,16 @@ def _build_llm_usage_stats(
*,
live: bool = False,
) -> None:
subscription = _is_subscription(report_state)
usage = _llm_usage(report_state)
if not usage or _int_stat(usage, "requests") <= 0:
stats_text.append("\n")
stats_text.append("Cost ", style="dim")
stats_text.append("$0.0000 ", style="#fbbf24")
if subscription:
stats_text.append("$0.00 ", style="#22c55e")
stats_text.append("(subscription) ", style="dim")
else:
stats_text.append("$0.0000 ", style="#fbbf24")
stats_text.append("· ", style="dim white")
stats_text.append("Tokens ", style="dim")
stats_text.append("0", style="white")
@@ -312,7 +331,12 @@ def _build_llm_usage_stats(
stats_text.append("Output Tokens ", style="dim")
stats_text.append(format_token_count(output_tokens), style="white")
if live or cost > 0:
if subscription:
stats_text.append(" · ", style="dim white")
stats_text.append("Cost ", style="dim")
stats_text.append("$0.00", style="#22c55e")
stats_text.append(" (subscription)", style="dim")
elif live or cost > 0:
stats_text.append(" · ", style="dim white")
stats_text.append("Cost ", style="dim")
stats_text.append(f"${cost:.4f}", style="#fbbf24")
@@ -337,6 +361,9 @@ def build_live_stats_text(report_state: Any) -> Text:
model = load_settings().llm.model or "unknown"
stats_text.append("Model ", style="dim")
stats_text.append(str(model), style="white")
if _is_subscription(report_state):
stats_text.append(" · ", style="dim white")
stats_text.append("ChatGPT subscription", style="#22c55e")
stats_text.append("\n")
vuln_count = len(report_state.vulnerability_reports)
@@ -379,6 +406,10 @@ def build_tui_stats_text(report_state: Any) -> Text:
model = load_settings().llm.model or "unknown"
stats_text.append(str(model), style="white")
subscription = _is_subscription(report_state)
if subscription:
stats_text.append("\n")
stats_text.append("ChatGPT subscription", style="#22c55e")
usage = _llm_usage(report_state)
if usage and _int_stat(usage, "total_tokens") > 0:
@@ -388,7 +419,10 @@ def build_tui_stats_text(report_state: Any) -> Text:
style="white",
)
cost = _float_stat(usage, "cost")
if cost > 0:
if subscription:
stats_text.append(" · ", style="white")
stats_text.append("$0.00", style="white")
elif cost > 0:
stats_text.append(" · ", style="white")
stats_text.append(f"${cost:.2f}", style="white")
@@ -1147,9 +1181,7 @@ def read_target_list_file(path_str: str) -> list[str]:
if (target := line.strip()) and not target.startswith("#")
]
except UnicodeDecodeError as e:
raise ValueError(
f"Target list file '{path_str}' must be valid UTF-8 text: {e!s}"
) from e
raise ValueError(f"Target list file '{path_str}' must be valid UTF-8 text: {e!s}") from e
except OSError as e:
raise ValueError(f"Failed to read target list file '{path_str}': {e!s}") from e
@@ -6,7 +6,7 @@ directly from the run's on-disk files. No cloud dependency, no file picker.
from __future__ import annotations
from strix.viewer.server import serve
from strix.interface.viewer.server import serve
__all__ = ["serve"]
@@ -155,7 +155,7 @@ def _post_json(path: str, payload: dict[str, Any], *, timeout: int) -> tuple[int
method="POST",
)
try:
with urllib.request.urlopen(request, timeout=timeout) as response: # noqa: S310
with urllib.request.urlopen(request, timeout=timeout) as response: # noqa: S310 # nosec B310
return response.status, _parse_body(response.read())
except urllib.error.HTTPError as exc:
return exc.code, _parse_body(exc.read())
@@ -16,8 +16,8 @@ from strix.core.paths import (
run_record_path,
runs_base_dir,
)
from strix.viewer.server import authorized_url, bundle_is_built, serve
from strix.viewer.transcript import read_run_summary
from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
from strix.interface.viewer.transcript import read_run_summary
if TYPE_CHECKING:
@@ -58,7 +58,7 @@ def run_view(argv: list[str]) -> None:
if not bundle_is_built():
console.print(
"[bold red]Viewer UI is not built.[/]\n"
"Build it with: [cyan]cd strix/viewer/frontend && npm ci && npm run build[/]"
"Build it with: [cyan]cd strix/interface/viewer/frontend && npm ci && npm run build[/]"
)
raise SystemExit(1)
@@ -63,7 +63,6 @@
"integrity": "sha512-RgHBCvtjbOK2gXSNBNIkNoEc9qoVEtau3hj8gEqKQuL3HZAibKarWFEI3Lfm6EYKkLalOh8eSrj9b+ch9H/VBA==",
"dev": true,
"license": "MIT",
"peer": true,
"dependencies": {
"@babel/code-frame": "^7.29.7",
"@babel/generator": "^7.29.7",
@@ -1605,7 +1604,6 @@
"resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.17.tgz",
"integrity": "sha512-MXfmqaVPEVgkBT/aY0aGCkRWWtByiYQXo3xdQ8r5RzuFrPiRn8Gar2tQdXSUQ2GKV3bkXckek89V8wQBY2Q/Aw==",
"license": "MIT",
"peer": true,
"dependencies": {
"csstype": "^3.2.2"
}
@@ -1616,7 +1614,6 @@
"integrity": "sha512-jp2L/eY6fn+KgVVQAOqYItbF0VY/YApe5Mz2F0aykSO8gx31bYCZyvSeYxCHKvzHG5eZjc+zyaS5BrBWya2+kQ==",
"devOptional": true,
"license": "MIT",
"peer": true,
"peerDependencies": {
"@types/react": "^19.2.0"
}
@@ -1739,7 +1736,6 @@
}
],
"license": "MIT",
"peer": true,
"dependencies": {
"baseline-browser-mapping": "^2.10.42",
"caniuse-lite": "^1.0.30001803",
@@ -1920,7 +1916,6 @@
"resolved": "https://registry.npmjs.org/d3-selection/-/d3-selection-3.0.0.tgz",
"integrity": "sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==",
"license": "ISC",
"peer": true,
"engines": {
"node": ">=12"
}
@@ -3571,7 +3566,6 @@
"integrity": "sha512-RvwwcruNjI1ncT5xRakeyS9Lf8lcItv34KD+aif+VH9kduAyfYBipGh12274xtenIPZ119/R9BdTBa8gAwSh0A==",
"dev": true,
"license": "MIT",
"peer": true,
"engines": {
"node": ">=12"
},
@@ -3623,7 +3617,6 @@
"resolved": "https://registry.npmjs.org/react/-/react-19.2.7.tgz",
"integrity": "sha512-HNe9WslTbXmFK8o8cmwgAeJFSBvt1bPdHCVKtaaV+WlAN36mpT4hcRpwbf3fY56ar2oIXzsBpOAiIRHAdY0OlQ==",
"license": "MIT",
"peer": true,
"engines": {
"node": ">=0.10.0"
}
@@ -3633,7 +3626,6 @@
"resolved": "https://registry.npmjs.org/react-dom/-/react-dom-19.2.7.tgz",
"integrity": "sha512-t0BRVXvbiE/o20Hfw669rLbMCDWtYZLvmJigy2f0MxsXF+71pxhR3xOkspmsO8h3ZlNzyibAmtCa3l4lYKk6gQ==",
"license": "MIT",
"peer": true,
"dependencies": {
"scheduler": "^0.27.0"
},
@@ -4109,7 +4101,6 @@
"integrity": "sha512-NTKlcQjlAK7MlQoyb6LgaqHc8sso/pVyUJYWMws3jg21uTJw/LddqIFPcPqP6PzpgbIcZyKI85sFE4HBrQDA8A==",
"dev": true,
"license": "MIT",
"peer": true,
"dependencies": {
"esbuild": "^0.25.0",
"fdir": "^6.4.4",

Before

Width:  |  Height:  |  Size: 3.7 KiB

After

Width:  |  Height:  |  Size: 3.7 KiB

@@ -100,6 +100,7 @@ export function RunDetails({
const reasoning = num(rec(arr(usage.output_tokens_details)[0]).reasoning_tokens);
const totalTokens = num(usage.total_tokens);
const cost = num(usage.cost);
const subscription = str(raw.auth_mode) === "subscription";
const sub = (n: number, word: string) => (
<span className="text-[#666]"> ({formatNumber(n)} {word})</span>
@@ -175,6 +176,15 @@ export function RunDetails({
{hasUsage ? (
<dl className="space-y-2.5 tabular-nums">
<Field label="Model">{models.length ? models.join(", ") : "n/a"}</Field>
{subscription && (
<Field label="Provider">
<span className="inline-flex items-center gap-1.5">
<span className="rounded-full border border-[#22c55e]/40 bg-[#22c55e]/10 px-2 py-0.5 text-[11px] text-[#22c55e]">
ChatGPT subscription
</span>
</span>
</Field>
)}
<Field label="Run time">{fmtDuration(durationSeconds)}</Field>
{requests != null && <Field label="Requests">{formatNumber(requests)}</Field>}
{inputTokens != null && (
@@ -190,7 +200,14 @@ export function RunDetails({
</Field>
)}
{totalTokens != null && <Field label="Total tokens">{formatNumber(totalTokens)}</Field>}
{cost != null && <Field label="Cost">${cost.toFixed(2)}</Field>}
{subscription ? (
<Field label="Cost">
<span className="text-[#22c55e]">$0.00</span>
<span className="text-[#666]"> (subscription)</span>
</Field>
) : (
cost != null && <Field label="Cost">${cost.toFixed(2)}</Field>
)}
{agents.length > 0 && <Field label="Agents">{formatNumber(agents.length)}</Field>}
</dl>
) : (
@@ -49,6 +49,9 @@ export default function NotesRenderer({ toolName, args, result }: ToolRendererPr
<div className="mt-1.5 text-[#999] text-[13px]">
{note.title ?? "(untitled)"}
<span className="text-[#555] ml-1">({note.category ?? "general"})</span>
{(note.by_you || note.agent_name) && (
<span className="text-[#666] ml-1 text-xs">by {note.by_you ? "you" : note.agent_name}</span>
)}
</div>
{note.content && <div className="mt-1"><Markdown text={note.content} /></div>}
</>
@@ -74,6 +77,9 @@ export default function NotesRenderer({ toolName, args, result }: ToolRendererPr
<span className="text-[#555] mr-1">-</span>
<span className="text-[#999]">{n.title ?? "(untitled)"}</span>
<span className="text-[#555] ml-1">({n.category ?? "general"})</span>
{(n.by_you || n.agent_name) && (
<span className="text-[#666] ml-1 text-xs">by {n.by_you ? "you" : n.agent_name}</span>
)}
{n.content && <div className="ml-3"><Markdown text={n.content} /></div>}
</div>
))}
@@ -0,0 +1,121 @@
"use client";
import type { ToolRendererProps } from "@/types/events";
import { TruncatedText } from "./ToolCard";
import Markdown from "./Markdown";
const SEVERITY_COLORS: Record<string, string> = {
critical: "text-red-400", high: "text-orange-400", medium: "text-yellow-400",
low: "text-blue-400", info: "text-cyan-400", none: "text-[#888]",
};
interface ReportEntry {
id?: string;
title?: string;
severity?: string;
cvss?: number;
cve?: string;
cwe?: string;
target?: string;
endpoint?: string;
method?: string;
description_preview?: string;
description?: string;
agent_name?: string;
by_you?: boolean;
}
function authorTag(r: ReportEntry) {
if (!r.agent_name && !r.by_you) return null;
const label = r.by_you ? "you" : r.agent_name;
return <span className="text-[#666] text-xs ml-1.5">({label})</span>;
}
function sevBadge(severity: string | undefined) {
const sev = String(severity ?? "").toLowerCase();
const color = SEVERITY_COLORS[sev] ?? "text-yellow-400";
return <span className={`font-semibold text-[13px] ${color}`}>{sev.toUpperCase() || "—"}</span>;
}
export default function ReportListRenderer({ toolName, result }: ToolRendererProps) {
const res = result as Record<string, unknown> | null;
const ok = res != null && typeof res === "object" && res.success === true;
if (toolName === "get_report") {
const report = ok ? (res.report as ReportEntry | undefined) : undefined;
return (
<div>
<span className="text-red-400/80 font-semibold text-sm">report</span>
{report ? (
<div className="mt-1.5 space-y-2">
<div className="flex items-center gap-2 flex-wrap">
{sevBadge(report.severity)}
{report.cvss != null && <span className="text-[#888] text-[13px]">CVSS {report.cvss}</span>}
{report.id && <span className="text-[#555] font-mono text-[13px]">{report.id}</span>}
{report.cve && <span className="text-[#888] font-mono text-[13px]">{report.cve}</span>}
{report.cwe && <span className="text-[#888] font-mono text-[13px]">{report.cwe}</span>}
{(report.agent_name || report.by_you) && (
<span className="text-[#666] text-[13px]">{report.by_you ? "you" : report.agent_name}</span>
)}
</div>
{report.title && <div className="text-[15px] text-white/80 font-semibold">{report.title}</div>}
{(report.target || report.endpoint) && (
<div className="text-[13px] text-[#888] font-mono">
{report.target}{report.endpoint ? ` ${report.method ?? ""} ${report.endpoint}` : ""}
</div>
)}
{report.description && <TruncatedText text={report.description} maxLines={20} />}
</div>
) : (
<div className="mt-1 text-[#555] text-xs">
{(res && typeof res === "object" && (res.error as string)) || "Report not found"}
</div>
)}
</div>
);
}
// list_reports
const rawReports = ok ? res.reports : null;
const reports: ReportEntry[] = Array.isArray(rawReports) ? (rawReports as ReportEntry[]) : [];
const total = ok && typeof res.total_count === "number" ? (res.total_count as number) : reports.length;
const counts = ok && res.severity_counts && typeof res.severity_counts === "object"
? (res.severity_counts as Record<string, number>)
: {};
const countEntries = Object.entries(counts);
return (
<div>
<div className="flex items-center gap-2 flex-wrap">
<span className="text-red-400/80 font-semibold text-sm">reports</span>
<span className="text-[#555] text-[13px]">({total})</span>
{countEntries.map(([sev, n]) => (
<span key={sev} className="text-[13px]">
{sevBadge(sev)}<span className="text-[#888] ml-0.5">{n}</span>
</span>
))}
</div>
{reports.length > 0 ? (
<div className="mt-1.5 space-y-1">
{reports.map((r, i) => (
<div key={r.id ?? i} className="text-[13px]">
<span className="text-[#555] mr-1">-</span>
{sevBadge(r.severity)}
{r.id && <span className="text-[#555] font-mono ml-1.5">{r.id}</span>}
<span className="text-[#999] ml-1.5">{r.title ?? "(untitled)"}</span>
{authorTag(r)}
{(r.target || r.endpoint) && (
<div className="ml-3 text-[#666] font-mono text-xs">
{r.target}{r.endpoint ? ` ${r.method ?? ""} ${r.endpoint}` : ""}
</div>
)}
{r.description_preview && (
<div className="ml-3"><Markdown text={r.description_preview} /></div>
)}
</div>
))}
</div>
) : <div className="mt-1 text-[#555] text-xs">No reports filed yet</div>}
</div>
);
}
@@ -3,6 +3,7 @@
import type { ToolRendererProps } from "@/types/events";
import { TruncatedText } from "./ToolCard";
import { MdCodeBlock } from "@/components/vulnerability/MdCodeBlock";
import { parseFencedCode } from "@/lib/fenced-code";
import Markdown from "./Markdown";
const SEVERITY_COLORS: Record<string, string> = {
@@ -19,7 +20,7 @@ export default function VulnReportRenderer({ args, result }: ToolRendererProps)
const method = (args.method as string) ?? "";
const technicalAnalysis = (args.technical_analysis as string) ?? "";
const pocDescription = (args.poc_description as string) ?? "";
const pocCode = (args.poc_script_code as string) ?? "";
const { language: pocLang, code: pocCode } = parseFencedCode((args.poc_script_code as string) ?? "");
const remediation = (args.remediation_steps as string) ?? "";
const cve = (args.cve as string) ?? "";
const cwe = (args.cwe as string) ?? "";
@@ -59,7 +60,7 @@ export default function VulnReportRenderer({ args, result }: ToolRendererProps)
<div>
<span className="text-emerald-400/60 text-sm font-semibold">Proof of Concept</span>
{pocDescription && <div className="mt-1"><Markdown text={pocDescription} /></div>}
{pocCode && <MdCodeBlock>{pocCode}</MdCodeBlock>}
{pocCode && <MdCodeBlock className={pocLang ? `language-${pocLang}` : undefined}>{pocCode}</MdCodeBlock>}
</div>
)}
{remediation && (
@@ -12,6 +12,7 @@ import FileEditRenderer from "./FileEditRenderer";
import ApplyPatchRenderer from "./ApplyPatchRenderer";
import ViewImageRenderer from "./ViewImageRenderer";
import VulnReportRenderer from "./VulnReportRenderer";
import ReportListRenderer from "./ReportListRenderer";
import ProxyRenderer from "./ProxyRenderer";
import ThinkRenderer from "./ThinkRenderer";
import AgentCommsRenderer from "./AgentCommsRenderer";
@@ -101,7 +102,7 @@ const CATEGORY_TOOLS: Record<ToolCategory, readonly string[]> = {
filesystem: ["apply_patch", "view_image", "str_replace_editor", "list_files", "search_files"],
// Caido proxy tools (legacy: send_request)
proxy: ["list_requests", "view_request", "repeat_request", "list_sitemap", "view_sitemap_entry", "scope_rules", "send_request"],
reporting: ["create_vulnerability_report"],
reporting: ["create_vulnerability_report", "list_reports", "get_report"],
thinking: ["think"],
agents: ["create_agent", "agent_finish", "send_message_to_agent", "wait_for_message", "view_agent_graph", "stop_agent"],
search: ["web_search"],
@@ -128,6 +129,8 @@ const RENDERER_OVERRIDES: Partial<Record<string, ComponentType<ToolRendererProps
finish_scan: FinishRenderer,
apply_patch: ApplyPatchRenderer,
view_image: ViewImageRenderer,
list_reports: ReportListRenderer,
get_report: ReportListRenderer,
};
/**
@@ -1,7 +1,7 @@
"use client";
import { useState } from "react";
import hljs from "@/lib/hljs";
import { highlightCode } from "@/lib/hljs";
import "highlight.js/styles/github-dark.css";
import { Copy, Check } from "lucide-react";
import { copyToClipboard } from "@/lib/vulnerability-utils";
@@ -17,7 +17,7 @@ export function MdCodeBlock({
}) {
const [copied, setCopied] = useState(false);
const raw = String(children).replace(/\n$/, "");
const match = /language-(\w+)/.exec(className || "");
const match = /language-(\S+)/.exec(className || "");
const isBlock = raw.includes("\n") || match;
if (!isBlock) {
@@ -35,16 +35,7 @@ export function MdCodeBlock({
: fileName
: null;
let highlighted: string;
if (match) {
try {
highlighted = hljs.highlight(raw, { language: match[1], ignoreIllegals: true }).value;
} catch {
highlighted = hljs.highlightAuto(raw).value;
}
} else {
highlighted = hljs.highlightAuto(raw).value;
}
const highlighted = highlightCode(raw, match?.[1]);
const lines = highlighted.split("\n");
@@ -1,12 +1,13 @@
"use client";
import { useState } from "react";
import hljs from "@/lib/hljs";
import { highlightCode } from "@/lib/hljs";
import "highlight.js/styles/github-dark.css";
import ReactMarkdown from "react-markdown";
import remarkGfm from "remark-gfm";
import { Copy, Check } from "lucide-react";
import { copyToClipboard } from "@/lib/vulnerability-utils";
import { parseFencedCode } from "@/lib/fenced-code";
import { rehypeCodeMeta, mdComponents } from "./MdCodeBlock";
interface PocBlockProps {
@@ -20,9 +21,12 @@ export function PocBlock({ description, scriptCode, onCopy }: PocBlockProps) {
if (!description && !scriptCode) return null;
const { language, code } = parseFencedCode(scriptCode);
const highlighted = highlightCode(code, language);
const copy = () => {
if (!scriptCode) return;
copyToClipboard(scriptCode);
if (!code) return;
copyToClipboard(code);
setCopied(true);
setTimeout(() => setCopied(false), 2000);
onCopy?.();
@@ -43,7 +47,7 @@ export function PocBlock({ description, scriptCode, onCopy }: PocBlockProps) {
</ReactMarkdown>
</div>
)}
{scriptCode && (
{code && (
<div className="group/poc relative rounded-md border border-[#2a2a2a] overflow-hidden">
<div className="flex items-stretch">
<span className="relative flex items-center text-[13px] text-[#999] font-mono px-4 py-2 border-r border-[#2a2a2a]">PoC Script<span className="absolute top-0 inset-x-0 h-0.5 bg-white/60 rounded-full" /></span>
@@ -64,7 +68,7 @@ export function PocBlock({ description, scriptCode, onCopy }: PocBlockProps) {
<pre className="font-mono text-[12px] leading-[22px] whitespace-pre [font-variant-ligatures:none]">
<code
dangerouslySetInnerHTML={{
__html: hljs.highlight(scriptCode, { language: "python" }).value,
__html: highlighted,
}}
/>
</pre>
@@ -0,0 +1,27 @@
export interface ParsedFencedCode {
language?: string;
code: string;
}
const FENCE_RE = /^```([^\n`]*)\r?\n([\s\S]*?)\r?\n?```$/;
/**
* Agent-generated `poc_script_code` is stored wrapped in a markdown code fence
* that carries the language, e.g.
*
* ```python
* import requests
* ```
*
* Renderers that show the value as bare code must not display the fence lines
* literally. This extracts the inner code and the fence's language tag. Returns
* the input unchanged (no language) when it isn't fenced.
*/
export function parseFencedCode(raw: string | null | undefined): ParsedFencedCode {
if (!raw) return { code: "" };
const match = FENCE_RE.exec(raw.trim());
if (!match) return { code: raw };
const info = match[1].trim();
const language = info ? info.split(/\s+/)[0] : undefined;
return { language: language || undefined, code: match[2] };
}
@@ -0,0 +1,32 @@
import hljs from "highlight.js/lib/common";
import http from "highlight.js/lib/languages/http";
import nginx from "highlight.js/lib/languages/nginx";
import apache from "highlight.js/lib/languages/apache";
import dockerfile from "highlight.js/lib/languages/dockerfile";
import properties from "highlight.js/lib/languages/properties";
hljs.registerLanguage("http", http);
hljs.registerLanguage("nginx", nginx);
hljs.registerLanguage("apache", apache);
hljs.registerLanguage("dockerfile", dockerfile);
hljs.registerLanguage("properties", properties);
/**
* Highlight code, preferring an explicit language when it's recognized,
* otherwise auto-detecting. Falls back to Python when auto-detection is
* inconclusive, since legacy (unfenced) PoC scripts are Python.
*/
export function highlightCode(code: string, language?: string | null): string {
try {
if (language && hljs.getLanguage(language)) {
return hljs.highlight(code, { language, ignoreIllegals: true }).value;
}
const auto = hljs.highlightAuto(code);
if (auto.language) return auto.value;
return hljs.highlight(code, { language: "python", ignoreIllegals: true }).value;
} catch {
return hljs.highlight(code, { language: "python", ignoreIllegals: true }).value;
}
}
export default hljs;
@@ -5,7 +5,7 @@ import { fileURLToPath, URL } from "node:url";
// The viewer is served as static files by a stdlib Python server on an
// arbitrary ephemeral port, so all asset URLs must be relative (base: "./").
// The build output is committed at strix/viewer/static and shipped.
// The build output is committed at strix/interface/viewer/static and shipped.
export default defineConfig({
base: "./",
plugins: [react(), tailwindcss()],
@@ -38,7 +38,7 @@ from reportlab.platypus import (
TableStyle,
)
from strix.viewer.transcript import (
from strix.interface.viewer.transcript import (
primary_target,
read_run_summary,
read_vulnerabilities,
@@ -151,19 +151,35 @@ def _styles() -> dict[str, ParagraphStyle]:
"Finding", fontName=_SANS_BOLD, fontSize=13, leading=17, textColor=_INK, spaceBefore=6
)
styles["field_label"] = ParagraphStyle(
"FieldLabel", fontName=_SANS_BOLD, fontSize=8.5, leading=12, textColor=_MUTED,
spaceBefore=10, spaceAfter=2,
"FieldLabel",
fontName=_SANS_BOLD,
fontSize=8.5,
leading=12,
textColor=_MUTED,
spaceBefore=10,
spaceAfter=2,
)
styles["body"] = ParagraphStyle(
"Body", fontName=_SANS, fontSize=10, leading=15, textColor=_TEXT, spaceAfter=8
)
styles["md_heading"] = ParagraphStyle(
"MdHeading", fontName=_SANS_BOLD, fontSize=11, leading=15, textColor=_INK,
spaceBefore=10, spaceAfter=4,
"MdHeading",
fontName=_SANS_BOLD,
fontSize=11,
leading=15,
textColor=_INK,
spaceBefore=10,
spaceAfter=4,
)
styles["bullet"] = ParagraphStyle(
"Bullet", fontName=_SANS, fontSize=10, leading=15, textColor=_TEXT,
leftIndent=16, firstLineIndent=-11, spaceAfter=3,
"Bullet",
fontName=_SANS,
fontSize=10,
leading=15,
textColor=_TEXT,
leftIndent=16,
firstLineIndent=-11,
spaceAfter=3,
)
styles["meta_inline"] = ParagraphStyle(
"MetaInline", fontName=_SANS, fontSize=9, leading=13, textColor=_MUTED, spaceBefore=4
@@ -172,23 +188,44 @@ def _styles() -> dict[str, ParagraphStyle]:
# a bordered paragraph's top padding, so too small a gap lets the background
# box bleed up over the field label above it.
styles["code"] = ParagraphStyle(
"Code", fontName=_MONO, fontSize=8, leading=11, textColor=_TEXT,
backColor=_LIGHT_BG, borderColor=_BORDER, borderWidth=0.5, borderPadding=8,
spaceBefore=12, spaceAfter=12,
"Code",
fontName=_MONO,
fontSize=8,
leading=11,
textColor=_TEXT,
backColor=_LIGHT_BG,
borderColor=_BORDER,
borderWidth=0.5,
borderPadding=8,
spaceBefore=12,
spaceAfter=12,
)
styles["count"] = ParagraphStyle(
"Count", fontName=_SANS_BOLD, fontSize=30, leading=32, alignment=TA_CENTER
)
styles["count_label"] = ParagraphStyle(
"CountLabel", fontName=_SANS_BOLD, fontSize=8, leading=12, textColor=_MUTED,
alignment=TA_CENTER, spaceBefore=4,
"CountLabel",
fontName=_SANS_BOLD,
fontSize=8,
leading=12,
textColor=_MUTED,
alignment=TA_CENTER,
spaceBefore=4,
)
styles["badge"] = ParagraphStyle(
"Badge", fontName=_SANS_BOLD, fontSize=9, leading=11, textColor=colors.white,
"Badge",
fontName=_SANS_BOLD,
fontSize=9,
leading=11,
textColor=colors.white,
alignment=TA_CENTER,
)
styles["confidential"] = ParagraphStyle(
"Confidential", fontName=_SANS_BOLD, fontSize=9, leading=12, textColor=colors.white,
"Confidential",
fontName=_SANS_BOLD,
fontSize=9,
leading=12,
textColor=colors.white,
alignment=TA_CENTER,
)
return styles
@@ -256,8 +293,10 @@ def _severity_grid(styles: dict[str, ParagraphStyle], counts: dict[str, int]) ->
color = _SEVERITY_COLORS[name]
count_style = ParagraphStyle(f"Count{name}", parent=styles["count"], textColor=color)
cells.append(
[Paragraph(str(counts.get(name, 0)), count_style),
Paragraph(name.upper(), styles["count_label"])]
[
Paragraph(str(counts.get(name, 0)), count_style),
Paragraph(name.upper(), styles["count_label"]),
]
)
col = (_PAGE_W - 40 * mm) / 4
table = Table([cells], colWidths=[col] * 4)
@@ -320,8 +359,10 @@ def _cover(
("DURATION", _duration(record.get("start_time"), record.get("end_time"))),
]
meta_table = Table(
[[Paragraph(label, styles["meta_label"]), Paragraph(_esc(value), styles["meta_value"])]
for label, value in meta_rows],
[
[Paragraph(label, styles["meta_label"]), Paragraph(_esc(value), styles["meta_value"])]
for label, value in meta_rows
],
colWidths=[38 * mm, _PAGE_W - 40 * mm - 38 * mm],
)
meta_table.setStyle(
@@ -462,6 +503,18 @@ def _markdown_flowables( # noqa: PLR0915 - cohesive block parser, splitting hur
return flow
_FENCE_RE = re.compile(r"^```([^\n`]*)\n(.*?)\n?```$", re.DOTALL)
def _strip_code_fence(value: Any) -> Any:
"""Drop a wrapping markdown code fence so raw-code fields don't show the
``` ```lang ``` marker lines literally in the PDF."""
if not isinstance(value, str):
return value
match = _FENCE_RE.match(value.strip())
return match.group(2) if match else value
def _field_block(
styles: dict[str, ParagraphStyle], label: str, value: Any, *, code: bool = False
) -> list[Flowable]:
@@ -503,7 +556,8 @@ def _finding_flowables(
story.extend(_field_block(styles, "Impact", vuln.get("impact")))
story.extend(_field_block(styles, "Technical analysis", vuln.get("technical_analysis")))
story.extend(_field_block(styles, "Proof of concept", vuln.get("poc_description")))
story.extend(_field_block(styles, "PoC script", vuln.get("poc_script_code"), code=True))
poc_script = _strip_code_fence(vuln.get("poc_script_code"))
story.extend(_field_block(styles, "PoC script", poc_script, code=True))
story.extend(_field_block(styles, "Evidence", vuln.get("evidence"), code=True))
remediation = vuln.get("remediation_steps")
@@ -27,8 +27,8 @@ from typing import TYPE_CHECKING, Any
from urllib.parse import parse_qs, unquote, urlencode, urlsplit
from strix.core.paths import run_record_path
from strix.viewer import auth
from strix.viewer.transcript import (
from strix.interface.viewer import auth
from strix.interface.viewer.transcript import (
build_run_state,
primary_target,
read_report_markdown,
@@ -367,7 +367,7 @@ def _make_handler(state: _ViewerState) -> type[BaseHTTPRequestHandler]:
self._send_json(HTTPStatus.CONFLICT, {"error": "run_not_finished"})
return
from strix.viewer.report_pdf import build_encrypted_report
from strix.interface.viewer.report_pdf import build_encrypted_report
pdf_bytes, password, filename = build_encrypted_report(run_dir)
run_name = str(summary.get("run_name") or run_dir.name)

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