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Author SHA1 Message Date
Alex Schapiro 389326cad3 fix(deps): cap cryptography <49 to keep Intel macOS universal2 wheel
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 20:47:31 +00:00
160 changed files with 671 additions and 7545 deletions
+6 -27
View File
@@ -6,9 +6,6 @@ on:
- 'v*'
workflow_dispatch:
permissions:
contents: read
jobs:
build:
strategy:
@@ -21,23 +18,19 @@ jobs:
target: macos-x86_64
- os: ubuntu-22.04
target: linux-x86_64
- os: ubuntu-22.04-arm
target: linux-arm64
- os: windows-latest
target: windows-x86_64
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4.4.0
with:
persist-credentials: false
- uses: actions/checkout@v4
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
- uses: actions/setup-python@v5
with:
python-version: '3.12'
- uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5.4.2
- uses: astral-sh/setup-uv@v5
- name: Build
shell: bash
@@ -45,20 +38,6 @@ jobs:
uv sync --frozen
uv run pyinstaller strix.spec --noconfirm
if [[ "${{ runner.os }}" == "Windows" ]]; then
dist/strix.exe --version
else
dist/strix --version
fi
if [[ "${{ matrix.target }}" == "linux-arm64" ]]; then
file dist/strix
file dist/strix | grep -q "ARM aarch64" || {
echo "::error::linux-arm64 artifact is not an ARM aarch64 binary"
exit 1
}
fi
VERSION=$(grep '^version' pyproject.toml | head -1 | sed 's/.*"\(.*\)"/\1/')
mkdir -p dist/release
@@ -71,7 +50,7 @@ jobs:
tar -C dist/release -czvf "dist/release/strix-${VERSION}-${{ matrix.target }}.tar.gz" "strix-${VERSION}-${{ matrix.target }}"
fi
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
- uses: actions/upload-artifact@v4
with:
name: strix-${{ matrix.target }}
path: |
@@ -86,13 +65,13 @@ jobs:
contents: write
steps:
- uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
- uses: actions/download-artifact@v4
with:
path: release
merge-multiple: true
- name: Create Release
uses: softprops/action-gh-release@3bb12739c298aeb8a4eeaf626c5b8d85266b0e65 # v2.6.2
uses: softprops/action-gh-release@v2
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/interface/viewer/static/ is committed and shipped; do not ignore it)
# strix/viewer/static/ is committed and shipped; do not ignore it)
node_modules/
strix/interface/viewer/frontend/node_modules/
strix/interface/viewer/frontend/.vite/
strix/viewer/frontend/node_modules/
strix/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/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
`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
and commit the output:
```bash
make viewer # or: cd strix/interface/viewer/frontend && npm ci && npm run build
make viewer # or: cd strix/viewer/frontend && npm ci && npm run build
```
Commit both the source change and the regenerated `strix/interface/viewer/static/`.
Commit both the source change and the regenerated `strix/viewer/static/`.
## 🤝 Community
+2 -2
View File
@@ -69,8 +69,8 @@ clean:
viewer:
@echo "🖥️ Building the local-viewer SPA..."
cd strix/interface/viewer/frontend && npm ci && npm run build
@echo "✅ Viewer built to strix/interface/viewer/static/ (commit the changes)."
cd strix/viewer/frontend && npm ci && npm run build
@echo "✅ Viewer built to strix/viewer/static/ (commit the changes)."
dev: format lint type-check
@echo "✅ Development cycle complete!"
-14
View File
@@ -267,20 +267,6 @@ 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
@@ -35,31 +35,6 @@ 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">
+4 -38
View File
@@ -61,28 +61,11 @@ strix (--target <target> | --target-list <path> | --mount <path>) [options]
Path to a custom config file (JSON) to use instead of `~/.strix/cli-config.json`.
</ParamField>
<ParamField path="--max-budget" type="number">
<ParamField path="--max-budget-usd" type="number">
Maximum LLM spend in USD for the whole scan, counted cumulatively across the
root agent and every child agent. The budget is checked after each model
response.
In non-interactive mode (`-n`), once the running cost reaches the threshold,
the scan stops cleanly with a `stopped` status (not a failure) and the sandbox
is torn down. Sub-agents are stopped early, at 90% of the budget, reserving
the final slice for the root agent to wind down and produce the final report.
In interactive mode, reaching the budget pauses the scan instead of ending
it: every agent parks, and sending any message resumes the scan with the cap
extended by the original budget amount. There is no sub-agent reserve in
interactive mode.
As the budget is approached, graduated wrap-up warnings are surfaced to
**every** agent so they can finish their work and call their lifecycle tool
before the hard stop. The bands sit just below each role's own stop point: the
root is warned at **70%, 85% and 95%** (it stops at 100%), while sub-agents are
warned at **75%, 80% and 85%** (they stop at the 90% reserve). In interactive
mode every agent uses the **70%, 85% and 95%** bands. Percentages shown in the
warnings are the real cumulative spend against the full budget.
response; once the running cost reaches the threshold, the scan stops cleanly
with a `stopped` status (not a failure) and the sandbox is torn down.
Must be greater than `0`. Omit the flag for no limit.
@@ -101,19 +84,6 @@ strix (--target <target> | --target-list <path> | --mount <path>) [options]
counts.
</ParamField>
<ParamField path="--max-turns" type="integer" default="500">
Maximum number of turns (one model response plus its tool round) allotted to
**each** agent, applied per run. When an agent reaches this limit it is
force-stopped.
As the limit is approached, graduated wrap-up warnings (at 70%, 85% and 95%)
are injected into that agent's next model turn so it can prioritise its
remaining work and call its lifecycle tool (`finish_scan` for the root agent,
`agent_finish` for sub-agents) before the hard stop.
Must be greater than `0`.
</ParamField>
## Examples
```bash
@@ -129,9 +99,6 @@ strix --target api.example.com --instruction "Focus on IDOR and auth bypass"
# CI/CD mode
strix -n --target ./ --scan-mode quick
# Cap cost and per-agent turns
strix --target https://example.com --max-budget 25 --max-turns 300
# Force diff-scope against a specific base ref
strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main
@@ -149,6 +116,5 @@ strix --mount ./huge-monorepo
| Code | Meaning |
|------|---------|
| 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) |
| 0 | Scan completed, no vulnerabilities found |
| 2 | Vulnerabilities found (headless mode only) |
+8 -20
View File
@@ -1,6 +1,6 @@
[project]
name = "strix-agent"
version = "1.4.1"
version = "1.3.1"
description = "Open-source AI Hackers for your apps"
readme = "README.md"
license = "Apache-2.0"
@@ -79,10 +79,10 @@ build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["strix"]
# The prebuilt viewer bundle under strix/interface/viewer/static/ ships automatically
# The prebuilt viewer bundle under strix/viewer/static/ ships automatically
# (hatchling includes non-.py files under the package). The Vite SOURCE lives
# 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/**"]
# under the package dir too (strix/viewer/frontend/) but must never ship in the wheel.
exclude = ["strix/viewer/frontend", "strix/viewer/frontend/**"]
# ============================================================================
# Type Checking Configuration
@@ -122,7 +122,6 @@ module = [
"pydantic_settings.*",
"reportlab.*",
"pypdf.*",
"pygments.*",
]
ignore_missing_imports = true
disable_error_code = ["import-untyped"]
@@ -216,16 +215,12 @@ 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.interface.viewer.report_pdf.
"strix/interface/viewer/server.py" = ["N802", "PLC0415"]
# circular dependency with strix.telemetry / strix.viewer.report_pdf.
"strix/viewer/server.py" = ["N802", "PLC0415"]
# Lazy telemetry import to avoid importing PostHog before the viewer starts.
"strix/interface/viewer/cli.py" = ["PLC0415"]
"strix/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"]
@@ -258,16 +253,9 @@ 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", "PLC0415"]
"strix/report/state.py" = ["TC003", "PLR0912", "PLR0915", "E501", "PERF401"]
"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"]
+1 -1
View File
@@ -41,7 +41,7 @@ fi
combo="$os-$arch"
case "$combo" in
linux-x86_64|linux-arm64|macos-x86_64|macos-arm64|windows-x86_64)
linux-x86_64|macos-x86_64|macos-arm64|windows-x86_64)
;;
*)
echo -e "${RED}Unsupported OS/Arch: $os/$arch${NC}"
+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 / 'interface' / 'viewer' / 'static'
viewer_static = strix_root / '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.interface.viewer',
'strix.interface.viewer.auth',
'strix.interface.viewer.cli',
'strix.interface.viewer.report_pdf',
'strix.interface.viewer.server',
'strix.interface.viewer.transcript',
'strix.viewer',
'strix.viewer.auth',
'strix.viewer.cli',
'strix.viewer.report_pdf',
'strix.viewer.server',
'strix.viewer.transcript',
# PDF report generation + encryption
'reportlab',
+14 -91
View File
@@ -16,7 +16,6 @@ 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,
@@ -34,7 +33,6 @@ 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,
@@ -43,12 +41,7 @@ from strix.tools.proxy.tools import (
view_request,
view_sitemap_entry,
)
from strix.tools.reporting.tool import (
create_dependency_report,
create_vulnerability_report,
get_report,
list_reports,
)
from strix.tools.reporting.tool import create_dependency_report, create_vulnerability_report
from strix.tools.thinking.tool import think
from strix.tools.todo.tools import (
create_todo,
@@ -110,36 +103,8 @@ 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:
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
return str(exc) or exc.__class__.__name__
def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
@@ -147,7 +112,7 @@ def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
async def invoke(ctx: Any, raw_input: str) -> Any:
try:
return await _bound_result(await invoke_tool(ctx, raw_input))
return 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)
@@ -162,7 +127,7 @@ 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 _bound_result(await tool.on_invoke_tool(ctx, custom_input))
return 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)
@@ -194,35 +159,12 @@ def _custom_tool_as_function_tool(tool: CustomTool) -> FunctionTool:
)
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:
def _configure_chat_completions_filesystem_tools(toolset: Any) -> None:
for name, tool in vars(toolset).items():
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))
if isinstance(tool, CustomTool):
setattr(toolset, name, _custom_tool_as_function_tool(tool))
elif isinstance(tool, FunctionTool):
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
setattr(toolset, name, _function_tool_with_error_result(tool))
_CHARS_ESCAPE_RE = re.compile(r"\\(?:u[0-9a-fA-F]{4}|x[0-9a-fA-F]{2}|[0abtnvfr\\])")
@@ -263,16 +205,6 @@ 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
@@ -281,10 +213,8 @@ def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
parsed = json.loads(raw_input)
except (json.JSONDecodeError, TypeError):
parsed = None
if isinstance(parsed, dict):
if "shell" not in parsed:
parsed["shell"] = "bash"
_apply_shell_output_cap(parsed)
if isinstance(parsed, dict) and "shell" not in parsed:
parsed["shell"] = "bash"
raw_input = json.dumps(parsed)
try:
return await invoke_tool(ctx, raw_input)
@@ -310,10 +240,8 @@ def _wrap_write_stdin(tool: FunctionTool) -> FunctionTool:
parsed = json.loads(raw_input)
except json.JSONDecodeError:
parsed = None
if isinstance(parsed, dict):
if isinstance(parsed.get("chars"), str):
parsed["chars"] = _decode_chars_escape(parsed["chars"])
_apply_shell_output_cap(parsed)
if isinstance(parsed, dict) and isinstance(parsed.get("chars"), str):
parsed["chars"] = _decode_chars_escape(parsed["chars"])
raw_input = json.dumps(parsed)
try:
return await invoke_tool(ctx, raw_input)
@@ -415,8 +343,6 @@ _BASE_TOOLS: tuple[Tool, ...] = (
web_search,
create_vulnerability_report,
create_dependency_report,
list_reports,
get_report,
list_requests,
view_request,
repeat_request,
@@ -514,9 +440,6 @@ 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)",
@@ -536,8 +459,8 @@ def build_strix_agent(
model=None,
capabilities=[
Filesystem(
configure_tools=_make_filesystem_configurator(
chat_completions=chat_completions_tools,
configure_tools=(
_configure_chat_completions_filesystem_tools if chat_completions_tools else None
),
),
Shell(
+1 -2
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`, `sqlmap`, or to send Ctrl-C —
`write_stdin` — REPLs, `ssh`/`nc`/`ftp`, `msfconsole`, 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
@@ -215,7 +215,6 @@ 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
@@ -17,8 +17,6 @@ from strix.config.loader import (
persist_current,
)
from strix.config.settings import (
ContextSettings,
DedupeSettings,
IntegrationSettings,
LlmSettings,
RuntimeSettings,
@@ -28,8 +26,6 @@ from strix.config.settings import (
__all__ = [
"ContextSettings",
"DedupeSettings",
"IntegrationSettings",
"LlmSettings",
"RuntimeSettings",
-404
View File
@@ -1,404 +0,0 @@
"""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.parse
from pathlib import Path
from typing import TYPE_CHECKING, Any
import requests
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]:
try:
response = requests.post(
TOKEN_URL,
data=payload,
headers={"Accept": "application/json"},
timeout=_TOKEN_TIMEOUT,
)
except requests.RequestException as exc:
raise CodexAuthError("unavailable", str(exc)) from exc
if response.status_code >= 400:
detail = response.text[:300]
raise CodexAuthError("token_http_error", f"HTTP {response.status_code}: {detail}")
data = json.loads(response.content or b"{}")
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"
+12 -170
View File
@@ -2,38 +2,23 @@
from __future__ import annotations
import contextlib
import inspect
import os
from typing import TYPE_CHECKING, Any
from typing import TYPE_CHECKING
from agents import (
set_default_openai_api,
set_default_openai_key,
set_tracing_disabled,
)
from agents.model_settings import ModelSettings
from agents import set_default_openai_api, set_default_openai_key, set_tracing_disabled
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 collections.abc import AsyncIterator
from agents.models.interface import ModelProvider
from agents.models.interface import Model, ModelProvider
from openai import AsyncOpenAI
from strix.config.settings import ReasoningEffort, Settings
from strix.config.settings import Settings
def request_timeout_extra_args(timeout_s: float | None) -> dict[str, float] | None:
@@ -48,93 +33,9 @@ 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
@@ -158,16 +59,6 @@ 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,
@@ -186,42 +77,39 @@ DEFAULT_MODEL_RETRY = ModelRetrySettings(
)
RECOMMENDED_MODEL_NAMES = (
"openai/gpt-5.6",
"openai/gpt-5.6-sol",
"openai/gpt-5.6-terra",
"openai/gpt-5.6-luna",
"openai/gpt-5.6",
"openai/gpt-5.5-pro",
"openai/gpt-5.5",
"openai/gpt-5.5-pro",
"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", "chatgpt", "openai"), ("gpt-5",)),
(("azure", "azure_ai", "bedrock_mantle", "openai"), ("gpt-5",)),
(
("anthropic", "azure_ai", "bedrock", "claude", "databricks", "snowflake", "vertex_ai"),
("claude-fable-5", "claude-opus-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
("claude-fable-5", "claude-opus-4", "claude-sonnet-5", "claude-sonnet-4"),
),
(("google", "gemini", "vertex_ai"), ("gemini-3",)),
(("deepseek",), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
(("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
(("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
(("alibaba", "dashscope", "qwen"), ("qwen3.7", "qwen3.5", "qwen3-max")),
(("moonshot", "moonshotai", "kimi"), ("kimi-k2.7", "kimi-k2.6", "kimi-k2.5")),
)
@@ -229,8 +117,6 @@ 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:
@@ -325,8 +211,6 @@ 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
@@ -429,45 +313,3 @@ 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:
name = (model_name or "").strip().lower()
return name.startswith("bedrock/") or "anthropic." in name
def _prompt_cache_name_candidates(model_name: str) -> list[str]:
# LiteLLM's model map keys the same model under several names; strip the
# route prefix, then leading dotted segments (region, provider).
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:
# Bedrock rejects the cache marker for models LiteLLM's map doesn't
# recognise as cache-capable, so callers withhold it unless 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:
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
@@ -40,45 +40,9 @@ 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
@@ -121,9 +85,7 @@ 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)
+5 -99
View File
@@ -14,15 +14,13 @@ from strix.core.sessions import session_write_lock
if TYPE_CHECKING:
from collections.abc import Callable
from agents.items import TResponseInputItem
from agents.memory import Session
logger = logging.getLogger(__name__)
Status = Literal["running", "waiting", "completed", "stopped", "crashed", "failed", "budget_paused"]
Status = Literal["running", "waiting", "completed", "stopped", "crashed", "failed"]
@dataclass(slots=True)
@@ -43,15 +41,11 @@ 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
self.is_shutting_down = False
self._budget_stopped = False
self._reserve_stopped = False
self._budget_paused = False
self._extend_budget: Callable[[], None] | None = None
def set_snapshot_path(self, path: Path) -> None:
self._snapshot_path = path
@@ -70,71 +64,6 @@ class AgentCoordinator:
for runtime in self.runtimes.values():
runtime.wake.set()
@property
def reserve_stopped(self) -> bool:
return self._reserve_stopped
@property
def budget_paused(self) -> bool:
return self._budget_paused
def set_budget_extender(self, extend: Callable[[], None]) -> None:
self._extend_budget = extend
async def pause_for_budget(self, agent_id: str) -> None:
async with self._lock:
self._budget_paused = True
await self.set_status(agent_id, "budget_paused")
async def resume_from_budget_pause(self, *, exclude: str | None = None) -> None:
async with self._lock:
if not self._budget_paused:
return
self._budget_paused = False
paused = [aid for aid, status in self.statuses.items() if status == "budget_paused"]
if self._extend_budget is not None:
self._extend_budget()
for aid in paused:
await self.set_status(aid, "waiting")
if aid != exclude:
await self.send(
aid,
{
"from": "system",
"type": "budget_extended",
"content": (
"[Budget] The user extended the scan budget \u2014 continue your "
"current task."
),
},
)
async def reset_budget_stops(
self,
*,
budget_stopped: bool,
reserve_stopped: bool,
budget_paused: bool = False,
) -> None:
async with self._lock:
self._budget_stopped = budget_stopped
self._reserve_stopped = reserve_stopped
if not budget_paused:
self._budget_paused = False
for aid, status in self.statuses.items():
if status == "budget_paused":
self.statuses[aid] = "waiting"
await self._maybe_snapshot()
async def claim_reserve_notification(self) -> str | None:
async with self._lock:
if self._reserve_stopped:
return None
self._reserve_stopped = True
for runtime in self.runtimes.values():
runtime.wake.set()
return next((aid for aid, parent in self.parent_of.items() if parent is None), None)
async def register(
self,
agent_id: str,
@@ -178,23 +107,16 @@ 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, *, error: str | None = None
) -> None:
async def set_status(self, agent_id: str, status: Status | str) -> 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)
@@ -202,8 +124,6 @@ class AgentCoordinator:
async def send(self, target_agent_id: str, message: dict[str, Any]) -> bool:
"""Deliver a user/peer message by appending it to the target SDK session."""
if message.get("from") == "user" and self._budget_paused:
await self.resume_from_budget_pause(exclude=target_agent_id)
async with self._lock:
if target_agent_id not in self.statuses:
logger.debug("agent.send dropped unknown target=%s", target_agent_id)
@@ -238,8 +158,7 @@ class AgentCoordinator:
async def wait_for_message(self, agent_id: str) -> None:
while True:
async with self._lock:
reserve_exit = self._reserve_stopped and self.parent_of.get(agent_id) is not None
if self._budget_stopped or reserve_exit or self.pending_counts.get(agent_id, 0) > 0:
if self._budget_stopped or self.pending_counts.get(agent_id, 0) > 0:
return
wake = self.runtimes.setdefault(agent_id, AgentRuntime()).wake
wake.clear()
@@ -327,14 +246,9 @@ class AgentCoordinator:
async def graph_snapshot(
self,
) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str], dict[str, str]]:
) -> tuple[dict[str, str | None], dict[str, Status], dict[str, str]]:
async with self._lock:
return (
dict(self.parent_of),
dict(self.statuses),
dict(self.names),
dict(self.errors),
)
return dict(self.parent_of), dict(self.statuses), dict(self.names)
def _message_to_session_item(self, message: dict[str, Any]) -> TResponseInputItem:
sender = str(message.get("from", "unknown"))
@@ -372,10 +286,6 @@ 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),
"budget_stopped": self._budget_stopped,
"reserve_stopped": self._reserve_stopped,
"budget_paused": self._budget_paused,
}
async def restore(self, snap: dict[str, Any]) -> None:
@@ -385,10 +295,6 @@ 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", {}))
self._budget_stopped = bool(snap.get("budget_stopped", False))
self._reserve_stopped = bool(snap.get("reserve_stopped", False))
self._budget_paused = bool(snap.get("budget_paused", False))
for aid in self.statuses:
self.runtimes.setdefault(aid, AgentRuntime())
+43 -225
View File
@@ -13,26 +13,15 @@ from agents import RunConfig, Runner
from agents.exceptions import AgentsException, MaxTurnsExceeded, UserError
from agents.sandbox.errors import ExecTransportError
from docker import errors as docker_errors # type: ignore[import-untyped, unused-ignore]
from openai import (
APIConnectionError,
APIError,
APIStatusError,
APITimeoutError,
RateLimitError,
)
from openai import APIError
from strix.core.hooks import (
BudgetExceededError,
BudgetPausedError,
SubagentBudgetReservedError,
)
from strix.core.hooks import BudgetExceededError
from strix.core.inputs import child_initial_input
from strix.core.sessions import (
enforce_image_budget,
open_agent_session,
strip_all_images_from_session,
)
from strix.llm.compaction import is_context_overflow, maybe_compact
if TYPE_CHECKING:
@@ -51,69 +40,6 @@ 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,
)
_TRANSIENT_MODEL_STATUS_CODES = frozenset({408, 500, 502, 503, 504})
_MAX_TRANSIENT_MODEL_RETRIES = 4
_TRANSIENT_MODEL_RETRY_BASE_DELAY_S = 2.0
_TRANSIENT_MODEL_RETRY_MAX_DELAY_S = 30.0
def _model_error_status_code(exc: BaseException) -> int | None:
code = getattr(exc, "status_code", None)
return code if isinstance(code, int) else None
def _is_transient_model_error(exc: BaseException) -> bool:
if isinstance(exc, RateLimitError):
return False
if isinstance(exc, APITimeoutError | APIConnectionError):
return True
if isinstance(exc, APIStatusError):
return exc.status_code in _TRANSIENT_MODEL_STATUS_CODES
if isinstance(exc, APIError):
return _model_error_status_code(exc) is None
return False
def _transient_model_retry_delay(attempt: int) -> float:
delay = _TRANSIENT_MODEL_RETRY_BASE_DELAY_S * float(2 ** (attempt - 1))
return min(delay, _TRANSIENT_MODEL_RETRY_MAX_DELAY_S)
async def run_agent_loop(
@@ -138,34 +64,21 @@ async def run_agent_loop(
)
result: RunResultBase | None = None
budget_stopped = coordinator.budget_stopped
reserve_stopped = coordinator.reserve_stopped
if budget_stopped:
await coordinator.set_status(agent_id, "stopped")
raise BudgetExceededError("scan budget reached")
if reserve_stopped and context.get("parent_id") is not None:
await coordinator.set_status(agent_id, "stopped")
raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
if reserve_stopped and start_parked and interactive and context.get("parent_id") is None:
await coordinator.send(agent_id, _reserve_notice())
if not (start_parked and interactive):
if interactive:
with contextlib.suppress(BudgetPausedError):
result = await _run_cycle(
agent,
coordinator,
agent_id,
input_data=initial_input,
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
result = await _run_cycle(
agent,
coordinator,
agent_id,
input_data=initial_input,
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
else:
result = await _run_noninteractive_until_lifecycle(
agent,
@@ -193,25 +106,20 @@ async def run_agent_loop(
await coordinator.set_status(agent_id, "stopped")
raise BudgetExceededError("scan budget reached")
if coordinator.reserve_stopped and context.get("parent_id") is not None:
await coordinator.set_status(agent_id, "stopped")
raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
await coordinator.consume_pending(agent_id)
with contextlib.suppress(BudgetPausedError):
result = await _run_cycle(
agent,
coordinator,
agent_id,
input_data=[],
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
result = await _run_cycle(
agent,
coordinator,
agent_id,
input_data=[],
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
async def spawn_child_agent(
@@ -383,10 +291,6 @@ async def _run_noninteractive_until_lifecycle(
await coordinator.set_status(agent_id, "stopped")
raise BudgetExceededError("scan budget reached")
if coordinator.reserve_stopped and context.get("parent_id") is not None:
await coordinator.set_status(agent_id, "stopped")
raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
result = await _run_cycle(
agent,
coordinator,
@@ -417,7 +321,7 @@ async def _run_noninteractive_until_lifecycle(
if invalid_final_outputs >= invalid_final_output_limit:
await coordinator.set_status(agent_id, "crashed")
await _notify_parent_on_terminal(coordinator, agent_id, "crashed")
await _notify_parent_on_crash(coordinator, agent_id, "crashed")
raise MaxTurnsExceeded(
"Agent exhausted non-interactive recovery attempts without calling "
"finish_scan or agent_finish."
@@ -446,8 +350,6 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
hooks: RunHooks[dict[str, Any]] | None,
) -> RunResultBase | None:
image_strips = 0
compactions = 0
model_retries = 0
while True:
try:
await coordinator.mark_running(agent_id)
@@ -458,10 +360,6 @@ 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,
@@ -482,7 +380,9 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
logger.exception("stream event sink failed for %s", agent_id)
if stream.run_loop_exception is not None:
raise stream.run_loop_exception
except (BudgetExceededError, BudgetPausedError, SubagentBudgetReservedError):
except BudgetExceededError:
# A RuntimeError subclass: re-raise explicitly so it is never
# mistaken for the LiteLLM "after shutdown" race below.
raise
except RuntimeError as stream_exc:
if "after shutdown" not in str(stream_exc):
@@ -501,15 +401,6 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
)
finally:
await coordinator.detach_stream(agent_id, stream)
except BudgetPausedError as exc:
logger.info("agent %s paused at the scan budget limit: %s", agent_id, exc)
await coordinator.pause_for_budget(agent_id)
raise
except SubagentBudgetReservedError as exc:
logger.info("sub-agent %s stopped at the budget reserve: %s", agent_id, exc)
await coordinator.set_status(agent_id, "stopped")
await _notify_root_on_budget_reserve(coordinator)
raise
except BudgetExceededError as exc:
logger.info(
"agent %s reached the scan budget limit; stopping the scan: %s", agent_id, exc
@@ -537,41 +428,6 @@ 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 model_retries < _MAX_TRANSIENT_MODEL_RETRIES and _is_transient_model_error(exc):
model_retries += 1
delay = _transient_model_retry_delay(model_retries)
logger.warning(
"transient model/provider error for %s; replaying turn "
"(attempt %d/%d, backoff %.1fs): %r",
agent_id,
model_retries,
_MAX_TRANSIENT_MODEL_RETRIES,
delay,
exc,
)
await asyncio.sleep(delay)
if session is not None:
input_data = []
continue
if not interactive:
raise
if isinstance(exc, MaxTurnsExceeded):
@@ -581,8 +437,10 @@ 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, error=str(exc) or type(exc).__name__)
await _notify_parent_on_terminal(coordinator, agent_id, status)
await coordinator.set_status(agent_id, status)
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)
@@ -646,31 +504,12 @@ async def _append_noninteractive_tool_required_message(
return []
_TERMINAL_NOTICE = {
"crashed": (
"[Agent crash] {name} ({agent_id}) terminated unexpectedly. "
"Stop waiting on this child unless you want to message it again."
),
"failed": (
"[Agent failed] {name} ({agent_id}) stopped with an error and will not "
"send a completion report. Stop waiting on this child unless you want to "
"message it again."
),
"stopped": (
"[Agent capped] {name} ({agent_id}) hit its turn limit and was stopped "
"before finishing. It will not send a completion report, so stop waiting "
"on this child; account for its capped subtask and continue."
),
}
async def _notify_parent_on_terminal(
async def _notify_parent_on_crash(
coordinator: AgentCoordinator,
agent_id: str,
status: str,
) -> None:
template = _TERMINAL_NOTICE.get(status)
if template is None:
if status != "crashed":
return
async with coordinator._lock:
parent = coordinator.parent_of.get(agent_id)
@@ -681,35 +520,16 @@ async def _notify_parent_on_terminal(
parent,
{
"from": agent_id,
"type": status,
"type": "crash",
"priority": "high",
"content": template.format(name=name, agent_id=agent_id),
"content": (
f"[Agent crash] {name} ({agent_id}) terminated unexpectedly. "
"Stop waiting on this child unless you want to message it again."
),
},
)
def _reserve_notice() -> dict[str, Any]:
return {
"from": "system",
"type": "budget_reserve_stop",
"priority": "high",
"content": (
"[Budget reserve] The scan has reached the sub-agent budget reserve: every "
"sub-agent is being force-stopped as soon as its in-flight turn completes, and "
"none will send a completion report. Their confirmed vulnerabilities are "
"already filed as they were found. Do not wait on any sub-agents and do not "
"spawn new ones — wrap up now and call finish_scan."
),
}
async def _notify_root_on_budget_reserve(coordinator: AgentCoordinator) -> None:
root = await coordinator.claim_reserve_notification()
if root is None:
return
await coordinator.send(root, _reserve_notice())
async def _start_child_runner(
*,
parent_ctx: dict[str, Any],
@@ -761,8 +581,6 @@ async def _start_child_runner(
)
except BudgetExceededError:
logger.info("child %s stopped after reaching the scan budget limit", child_id)
except SubagentBudgetReservedError:
logger.info("child %s stopped at the sub-agent budget reserve", child_id)
task_handle = asyncio.create_task(_child_loop(), name=f"agent-{name}-{child_id}")
await coordinator.attach_runtime(child_id, task=task_handle)
+3 -202
View File
@@ -14,210 +14,26 @@ from strix.report.state import get_global_report_state
if TYPE_CHECKING:
from agents import RunContextWrapper
from agents.agent import Agent
from agents.items import ModelResponse, TResponseInputItem
from agents.items import ModelResponse
logger = logging.getLogger(__name__)
_STAGE_LABELS: tuple[str, ...] = ("NOTICE", "URGENT", "CRITICAL")
_TURN_WARN_BANDS: tuple[float, ...] = (0.70, 0.85, 0.95)
_ROOT_BUDGET_WARN_BANDS: tuple[float, ...] = (0.70, 0.85, 0.95)
_SUBAGENT_BUDGET_WARN_BANDS: tuple[float, ...] = (0.75, 0.80, 0.85)
_SUBAGENT_BUDGET_RESERVE = 0.90
class BudgetExceededError(RuntimeError):
"""Raised when the accumulated LLM cost reaches the configured budget."""
class SubagentBudgetReservedError(RuntimeError):
"""Raised to stop a single sub-agent once the reserve threshold is crossed."""
class BudgetPausedError(RuntimeError):
"""Raised to park one agent when an interactive scan reaches its budget."""
def recomputed_budget_flags(
cost: float,
max_budget_usd: float | None,
*,
interactive: bool,
) -> tuple[bool, bool]:
"""Return the (budget_stopped, reserve_stopped) flags a resumed scan should carry."""
if max_budget_usd is None:
return False, False
if interactive:
return False, False
budget_stopped = cost >= max_budget_usd
reserve_stopped = cost >= max_budget_usd * _SUBAGENT_BUDGET_RESERVE
return budget_stopped, reserve_stopped
def _crossed_stage(fraction: float, bands: tuple[float, ...]) -> int | None:
crossed: int | None = None
for index, band in enumerate(bands):
if fraction >= band:
crossed = index
return crossed
_ROOT_DIRECTIVES: tuple[str, ...] = (
(
"As the root agent, begin planning your wind-down of the whole scan: avoid "
"starting large new lines of investigation, and keep your required objectives on "
"track so you can call finish_scan comfortably before the limit."
),
(
"As the root agent, prioritize wrapping up the whole scan now: stop opening new "
"lines of investigation, close out only what is essential, and move toward calling "
"finish_scan to compile and deliver the final report."
),
(
"As the root agent, STOP all other work on the whole scan and finish immediately: "
"secure your findings and call finish_scan now — anything left unfinished when the "
"limit is hit is discarded."
),
)
_SUBAGENT_DIRECTIVES: tuple[str, ...] = (
(
"As a sub-agent, begin planning your wind-down: avoid starting large new subtasks, "
"and if you are close to a confirmed, validated vulnerability, drive it to a result "
"you can report."
),
(
"As a sub-agent, prioritize wrapping up your task now: report any confirmed, "
"validated vulnerability, finish work that is nearly done rather than starting "
"anything new, and prepare to call agent_finish."
),
(
"As a sub-agent, STOP all other work and finish immediately: report any confirmed "
"vulnerability right now and call agent_finish to hand your results back to your "
"parent before you are cut off."
),
)
def _wrapup_directive(context: RunContextWrapper[dict[str, Any]], stage: int) -> str:
is_root = context.context.get("parent_id") is None
directives = _ROOT_DIRECTIVES if is_root else _SUBAGENT_DIRECTIVES
return directives[stage]
def _urgency(stage: int) -> str:
return _STAGE_LABELS[stage]
class ReportUsageHooks(RunHooks[dict[str, Any]]):
"""Persist SDK-native usage and warn/stop as turn and cost budgets are consumed."""
"""Persist SDK-native usage after every model response."""
def __init__(
self,
*,
model: str,
max_budget_usd: float | None = None,
max_turns: int | None = None,
interactive: bool = False,
) -> None:
def __init__(self, *, model: str, max_budget_usd: float | None = None) -> None:
if max_budget_usd is not None and (
not math.isfinite(max_budget_usd) or max_budget_usd <= 0
):
raise ValueError("max_budget_usd must be a finite number greater than 0")
if max_turns is not None and max_turns <= 0:
raise ValueError("max_turns must be a positive integer")
self._model = model
self._max_budget_usd = max_budget_usd
self._budget_increment = max_budget_usd
self._max_turns = max_turns
self._interactive = interactive
def extend_budget(self) -> None:
if self._max_budget_usd is None or self._budget_increment is None:
return
self._max_budget_usd += self._budget_increment
async def on_llm_start(
self,
context: RunContextWrapper[dict[str, Any]],
agent: Agent[dict[str, Any]], # noqa: ARG002
system_prompt: str | None, # noqa: ARG002
input_items: list[TResponseInputItem],
) -> None:
try:
self._maybe_warn_turns(context, input_items)
self._maybe_warn_budget(context, input_items)
except Exception:
logger.exception("budget/turn warning injection failed")
def _maybe_warn_turns(
self,
context: RunContextWrapper[dict[str, Any]],
input_items: list[TResponseInputItem],
) -> None:
if not self._max_turns:
return
usage = getattr(context, "usage", None)
requests = getattr(usage, "requests", None)
if not isinstance(requests, int):
return
turns_used = requests + 1
stage = _crossed_stage(turns_used / self._max_turns, _TURN_WARN_BANDS)
if stage is None:
return
remaining = max(self._max_turns - turns_used, 0)
pct = round(100 * turns_used / self._max_turns)
content = (
f"[{_urgency(stage)}] Turn budget: {turns_used}/{self._max_turns} used ({pct}%). "
f"About {remaining} turn(s) remain before this agent is force-stopped and any "
f"in-progress work is discarded. {_wrapup_directive(context, stage)}"
)
input_items.append({"role": "user", "content": content})
def _maybe_warn_budget(
self,
context: RunContextWrapper[dict[str, Any]],
input_items: list[TResponseInputItem],
) -> None:
if self._max_budget_usd is None:
return
report_state = get_global_report_state()
if report_state is None:
return
cost = report_state.get_total_llm_cost()
is_root = context.context.get("parent_id") is None
if self._interactive:
bands = _ROOT_BUDGET_WARN_BANDS
else:
bands = _ROOT_BUDGET_WARN_BANDS if is_root else _SUBAGENT_BUDGET_WARN_BANDS
stage = _crossed_stage(cost / self._max_budget_usd, bands)
if stage is None:
return
pct = round(100 * cost / self._max_budget_usd)
reserve_pct = round(_SUBAGENT_BUDGET_RESERVE * 100)
if self._interactive:
content = (
f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
f"spent ({pct}%). This budget is shared across every agent in the scan; when it "
"is reached all agents are paused until the user chooses to continue. "
f"{_wrapup_directive(context, stage)}"
)
elif is_root:
content = (
f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
f"spent ({pct}%). This budget is shared across every agent in the scan; when it "
"is reached the whole scan is stopped immediately, and sub-agents are stopped at "
f"{reserve_pct}% to reserve the remainder for your final report. "
f"{_wrapup_directive(context, stage)}"
)
else:
content = (
f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
f"spent ({pct}%). This budget is shared across every agent in the scan; "
f"sub-agents are stopped at {reserve_pct}% to leave the remainder for the root "
f"agent's final report. {_wrapup_directive(context, stage)}"
)
input_items.append({"role": "user", "content": content})
async def on_llm_end(
self,
@@ -250,21 +66,6 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
if self._max_budget_usd is not None:
cost = report_state.get_total_llm_cost()
if cost >= self._max_budget_usd:
if self._interactive:
raise BudgetPausedError(
f"Scan budget of ${self._max_budget_usd:.2f} reached "
f"(spent ${cost:.4f}); pausing until the user continues"
)
raise BudgetExceededError(
f"Token budget of ${self._max_budget_usd:.2f} exceeded (spent ${cost:.4f})"
)
is_root = ctx.get("parent_id") is None
if not self._interactive and not is_root:
reserve_limit = self._max_budget_usd * _SUBAGENT_BUDGET_RESERVE
if cost >= reserve_limit:
raise SubagentBudgetReservedError(
f"Sub-agent budget reserve reached: spent ${cost:.4f} of "
f"${self._max_budget_usd:.2f} "
f"(>= {round(_SUBAGENT_BUDGET_RESERVE * 100)}% reserve); stopping this "
"sub-agent so the root agent can finish the scan."
)
-33
View File
@@ -10,9 +10,6 @@ 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,
@@ -131,7 +128,6 @@ 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,
@@ -149,38 +145,9 @@ 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:
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 ``cache_control_injection_points`` for Claude prompt caching.
System prompt + rolling last-message breakpoint everywhere; ``tool_config``
only on Bedrock Converse (the only route whose LiteLLM transform consumes
it — elsewhere it leaks onto the wire and native Anthropic 400s). Unmapped
Bedrock models get no points at all: Bedrock rejects the passed-through
field outright.
"""
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: 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 {"cache_control_injection_points": points}
def child_initial_input(
*,
name: str,
+4 -46
View File
@@ -3,12 +3,10 @@
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
@@ -31,7 +29,7 @@ from strix.core.execution import (
from strix.core.execution import (
spawn_child_agent as start_child_agent,
)
from strix.core.hooks import BudgetExceededError, ReportUsageHooks, recomputed_budget_flags
from strix.core.hooks import BudgetExceededError, ReportUsageHooks
from strix.core.inputs import (
DEFAULT_MAX_TURNS,
build_root_task,
@@ -40,13 +38,8 @@ from strix.core.inputs import (
)
from strix.core.paths import run_dir_for, runtime_state_dir
from strix.core.sessions import open_agent_session
from strix.report.state import get_global_report_state
from strix.runtime import session_manager
from strix.telemetry.logging import set_scan_id, setup_scan_logging
from strix.tools.output_store import (
WORKSPACE_SPILL_DIR,
configure_spill_writer,
)
if TYPE_CHECKING:
@@ -186,18 +179,6 @@ async def run_strix_scan(
f"Cannot resume scan {scan_id}: missing SDK session database at {agents_db}",
)
await coordinator.restore(snap)
report_state = get_global_report_state()
if report_state is not None:
budget_stopped, reserve_stopped = recomputed_budget_flags(
report_state.get_total_llm_cost(),
max_budget_usd,
interactive=interactive,
)
await coordinator.reset_budget_stops(
budget_stopped=budget_stopped,
reserve_stopped=reserve_stopped,
budget_paused=interactive and coordinator.budget_paused,
)
for aid, parent in coordinator.parent_of.items():
if parent is None:
root_id = aid
@@ -222,20 +203,6 @@ 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:
@@ -249,7 +216,6 @@ 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,
@@ -258,14 +224,7 @@ async def run_strix_scan(
sandbox=SandboxRunConfig(client=bundle["client"], session=bundle["session"]),
trace_include_sensitive_data=False,
)
hooks = ReportUsageHooks(
model=resolved_model,
max_budget_usd=max_budget_usd,
max_turns=max_turns,
interactive=interactive,
)
if interactive:
coordinator.set_budget_extender(hooks.extend_budget)
hooks = ReportUsageHooks(model=resolved_model, max_budget_usd=max_budget_usd)
scope_context = build_scope_context(scan_config)
root_context = _merge_root_prompt_context(scope_context, extra_system_prompt_context)
@@ -279,7 +238,7 @@ async def run_strix_scan(
)
root_agent = build_strix_agent(
name="Strix",
name="strix",
skills=skills,
is_root=True,
scan_mode=scan_mode,
@@ -293,7 +252,7 @@ async def run_strix_scan(
if not is_resume:
await coordinator.register(
root_id,
"Strix",
"strix",
parent_id=None,
task=root_task,
skills=skills,
@@ -440,7 +399,6 @@ 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
@@ -92,39 +92,6 @@ 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
@@ -1,419 +0,0 @@
"""`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"]
-2
View File
@@ -13,7 +13,6 @@ from rich.panel import Panel
from rich.text import Text
from strix.config import load_settings
from strix.core.inputs import DEFAULT_MAX_TURNS
from strix.core.runner import run_strix_scan
from strix.report.state import ReportState, set_global_report_state
from strix.runtime import session_manager
@@ -185,7 +184,6 @@ async def run_cli(args: Any) -> None: # noqa: PLR0915
local_sources=getattr(args, "local_sources", None) or [],
interactive=bool(getattr(args, "interactive", False)),
max_budget_usd=getattr(args, "max_budget_usd", None),
max_turns=getattr(args, "max_turns", DEFAULT_MAX_TURNS),
)
finally:
stop_updates.set()
+76 -136
View File
@@ -8,6 +8,7 @@ import asyncio
import os
import shutil
import sys
import time
from datetime import UTC, datetime
from pathlib import Path
@@ -20,7 +21,6 @@ from rich.text import Text
from strix.config import (
apply_config_override,
codex,
load_settings,
persist_current,
)
@@ -31,7 +31,6 @@ from strix.config.models import (
is_known_openai_bare_model,
is_recommended_or_frontier_model,
)
from strix.core.inputs import DEFAULT_MAX_TURNS
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
@@ -94,16 +93,6 @@ 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")
@@ -211,7 +200,7 @@ def validate_environment() -> None:
padding=(1, 2),
)
logger.debug("Missing required env vars: %s", missing_required_vars)
logger.error("Missing required env vars: %s", missing_required_vars)
console.print("\n")
console.print(panel)
console.print()
@@ -224,7 +213,7 @@ def validate_environment() -> None:
def check_docker_installed() -> None:
if shutil.which("docker") is None:
logger.debug("Docker CLI not found in PATH")
logger.error("Docker CLI not found in PATH")
console = Console()
error_text = Text()
error_text.append("DOCKER NOT INSTALLED", style="bold red")
@@ -286,29 +275,6 @@ 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")
@@ -318,8 +284,8 @@ 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()
raw_model = (llm.model or "").strip()
if (
raw_model
and "/" not in raw_model
@@ -395,63 +361,23 @@ 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.debug("LLM warm-up failed", exc_info=True)
logger.exception("LLM warm-up failed")
error_text = Text()
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")
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=border_style,
border_style="red",
padding=(1, 2),
)
@@ -482,16 +408,6 @@ def _positive_budget(value: str) -> float:
return budget
def _positive_int(value: str) -> int:
try:
parsed = int(value)
except ValueError as exc:
raise argparse.ArgumentTypeError(f"invalid int value: {value!r}") from exc
if parsed <= 0:
raise argparse.ArgumentTypeError("must be an integer greater than 0")
return parsed
def parse_arguments() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Strix Multi-Agent Cybersecurity Penetration Testing Tool",
@@ -647,27 +563,10 @@ Examples:
)
parser.add_argument(
"--max-budget",
dest="max_budget_usd",
metavar="USD",
"--max-budget-usd",
type=_positive_budget,
default=None,
help=(
"Maximum LLM cost in USD (> 0). The scan stops cleanly when this limit is reached. "
"Graduated wrap-up warnings are sent to all agents as it is approached."
),
)
parser.add_argument(
"--max-turns",
dest="max_turns",
metavar="N",
type=_positive_int,
default=DEFAULT_MAX_TURNS,
help=(
"Maximum turns per agent (> 0, default %(default)s). Each agent is force-stopped "
"when it reaches this limit, with graduated wrap-up warnings as it is approached."
),
help="Maximum LLM cost in USD (> 0). The scan stops cleanly when this limit is reached.",
)
parser.add_argument(
@@ -784,7 +683,6 @@ 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,
@@ -842,7 +740,9 @@ 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) -> None:
def display_completion_message(
args: argparse.Namespace, results_path: Path, web_url: str | None = None
) -> None:
console = Console()
report_state = get_global_report_state()
@@ -881,12 +781,28 @@ def display_completion_message(args: argparse.Namespace, results_path: Path) ->
results_text.append(str(results_path), style="#60a5fa")
panel_parts.extend(["\n", results_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 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])
if not scan_completed:
resume_text = Text()
@@ -946,7 +862,7 @@ def pull_docker_image() -> None:
last_update = process_pull_line(line, layers_info, status, last_update)
except DockerException as e:
logger.debug("Failed to pull docker image %s", image, exc_info=True)
logger.exception("Failed to pull docker image %s", image)
console.print()
error_text = Text()
error_text.append("FAILED TO PULL IMAGE", style="bold red")
@@ -980,18 +896,11 @@ 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.interface.viewer.cli import run_view
from strix.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:
@@ -1059,7 +968,6 @@ 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,
@@ -1094,7 +1002,39 @@ def main() -> None:
results_path = run_dir_for(args.run_name)
display_completion_message(args, results_path)
# 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()
if args.non_interactive:
report_state = get_global_report_state()
+25 -77
View File
@@ -15,7 +15,6 @@ from typing import TYPE_CHECKING, Any, ClassVar
if TYPE_CHECKING:
from pygments.token import _TokenType
from textual.timer import Timer
from rich.align import Align
@@ -35,7 +34,6 @@ from textual.widgets.tree import TreeNode
from strix.config import load_settings
from strix.config.models import is_recommended_or_frontier_model
from strix.core.hooks import BudgetExceededError
from strix.core.inputs import DEFAULT_MAX_TURNS
from strix.core.runner import run_strix_scan
from strix.interface.tui.live_view import TuiLiveView
from strix.interface.tui.messages import send_user_message_to_agent
@@ -44,12 +42,6 @@ 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
@@ -338,11 +330,12 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
return "#65a30d"
return "#6b7280"
def _highlight_python(self, code: str, language: str | None = None) -> Text:
def _highlight_python(self, code: str) -> Text:
try:
from pygments.lexers import PythonLexer
from pygments.styles import get_style_by_name
lexer = resolve_lexer(language, code)
lexer = PythonLexer()
style = get_style_by_name("native")
colors = {
token: f"#{style_def['color']}" for token, style_def in style if style_def["color"]
@@ -353,7 +346,7 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
if not token_value:
continue
color = None
tt: _TokenType | None = token_type
tt = token_type
while tt:
if tt in colors:
color = colors[tt]
@@ -508,11 +501,10 @@ 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_code, poc_language))
text.append_text(self._highlight_python(poc_script_code))
remediation_steps = vuln.get("remediation_steps", "")
if remediation_steps:
@@ -609,12 +601,9 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
lines.append(vuln["poc_description"])
lines.append("")
if vuln.get("poc_script_code"):
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)
lines.append("```python")
lines.append(vuln["poc_script_code"])
lines.append("```")
if vuln.get("code_locations"):
lines.extend(["", "## Code Analysis", ""])
@@ -630,9 +619,7 @@ class VulnerabilityDetailScreen(ModalScreen): # type: ignore[misc]
if loc.get("label"):
lines.append(f" {loc['label']}")
if loc.get("snippet"):
snippet = str(loc["snippet"])
snippet_fence = safe_fence(snippet)
lines.append(f"{snippet_fence}\n{snippet}\n{snippet_fence}")
lines.append(f"```\n{loc['snippet']}\n```")
if loc.get("fix_before") or loc.get("fix_after"):
lines.append("**Suggested Fix:**")
lines.append("```diff")
@@ -815,8 +802,6 @@ 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._budget_pause_notified = False
self._spinner_frame_index: int = 0
self._sweep_num_squares: int = 6
@@ -1030,50 +1015,26 @@ class StrixTUIApp(App): # type: ignore[misc]
else:
self._agent_graph_sync_future = None
try:
parent_of, statuses, names, errors = future.result()
parent_of, statuses, names = 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)
self._notify_budget_pause(statuses)
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], dict[str, str]
]:
async def collect() -> tuple[dict[str, str | None], dict[str, Any], dict[str, str]]:
return await self.coordinator.graph_snapshot()
self._agent_graph_sync_future = asyncio.run_coroutine_threadsafe(collect(), self._scan_loop)
def _notify_budget_pause(self, statuses: dict[str, Any]) -> None:
paused = any(status == "budget_paused" for status in statuses.values())
if paused and not self._budget_pause_notified:
self._budget_pause_notified = True
self.notify(
"Budget limit reached \u2014 agents paused. Send a message to continue "
"(this extends the budget), or ctrl-q to quit.",
severity="warning",
timeout=15,
)
elif not paused:
self._budget_pause_notified = False
def _update_agent_node(self, agent_id: str, agent_data: dict[str, Any]) -> bool:
if agent_id not in self.agent_nodes:
return False
@@ -1086,10 +1047,8 @@ class StrixTUIApp(App): # type: ignore[misc]
status_indicators = {
"running": "",
"waiting": "",
"budget_paused": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1275,26 +1234,20 @@ class StrixTUIApp(App): # type: ignore[misc]
text.append(msg)
return (text, Text(), False)
if status in {"failed", "crashed"}:
if status == "failed":
error_msg = agent_data.get("error_message", "")
text = Text()
text.append(error_msg or "Agent failed", style="red")
text.append(" · ", style="dim")
text.append("Send message to resume", style="dim")
if error_msg:
text.append(error_msg, style="red")
else:
text.append("Scan failed", style="red")
self._stop_dot_animation()
return (text, Text(), False)
if status in {"waiting", "budget_paused"}:
if status == "waiting":
text = Text()
keymap = Text()
if status == "budget_paused":
text.append("Budget limit reached", style="yellow")
text.append(" \u00b7 ", style="dim")
text.append("Send a message to continue", style="dim")
keymap = keymap_styled([("ctrl-q", "quit")])
else:
text.append("Send message to resume", style="dim")
return (text, keymap, False)
text.append("Send message to resume", style="dim")
return (text, Text(), False)
if status == "running":
if self._agent_has_real_activity(agent_id):
@@ -1519,7 +1472,6 @@ class StrixTUIApp(App): # type: ignore[misc]
coordinator=self.coordinator,
interactive=True,
max_budget_usd=getattr(self.args, "max_budget_usd", None),
max_turns=getattr(self.args, "max_turns", DEFAULT_MAX_TURNS),
event_sink=self._capture_sdk_event,
),
)
@@ -1527,7 +1479,10 @@ class StrixTUIApp(App): # type: ignore[misc]
except (KeyboardInterrupt, asyncio.CancelledError):
logger.info("Scan interrupted by user")
except BudgetExceededError:
logger.info("Scan stopped: --max-budget limit reached")
# Defensive: the runner stops the scan cleanly on budget and
# returns, so this normally never propagates. Treat it as a
# graceful stop, not a scan error, if it ever does.
logger.info("Scan stopped: --max-budget-usd limit reached")
except (ConnectionError, TimeoutError) as e:
logging.exception("Network error during scan")
self._scan_error = e
@@ -1582,10 +1537,8 @@ class StrixTUIApp(App): # type: ignore[misc]
status_indicators = {
"running": "",
"waiting": "",
"budget_paused": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1629,10 +1582,8 @@ class StrixTUIApp(App): # type: ignore[misc]
status_indicators = {
"running": "",
"waiting": "",
"budget_paused": "",
"completed": "🟢",
"failed": "🔴",
"crashed": "🔴",
"stopped": "",
}
@@ -1754,10 +1705,7 @@ class StrixTUIApp(App): # type: ignore[misc]
message=message,
)
if not submitted:
if self._scan_completed.is_set():
self.notify("The scan has ended; message was not sent", severity="warning")
else:
self.notify("Scan loop is not ready; message was not sent", severity="warning")
self.notify("Scan loop is not ready; message was not sent", severity="warning")
return
self._displayed_events.clear()
@@ -1890,7 +1838,7 @@ class StrixTUIApp(App): # type: ignore[misc]
webbrowser.open(self._viewer_url)
return
try:
from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
from strix.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
@@ -86,17 +86,6 @@ 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,
@@ -7,13 +7,6 @@ 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"
@@ -130,9 +123,6 @@ 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 ")
@@ -166,9 +156,6 @@ 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")
@@ -1,12 +1,11 @@
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
@@ -62,8 +61,8 @@ class CreateVulnerabilityReportRenderer(BaseToolRenderer):
return None
@classmethod
def _highlight_code(cls, code: str, language: str | None) -> Text:
lexer = resolve_lexer(language, code)
def _highlight_python(cls, code: str) -> Text:
lexer = PythonLexer()
text = Text()
for token_type, token_value in lexer.get_tokens(code):
@@ -235,11 +234,10 @@ 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_code(poc_code, poc_language))
text.append_text(cls._highlight_python(poc_script_code))
if remediation_steps:
text.append("\n\n")
@@ -431,117 +429,3 @@ 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)
+7 -18
View File
@@ -1,7 +1,7 @@
"""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 hour) check against the release source, a cached
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.
@@ -37,9 +37,8 @@ logger = logging.getLogger(__name__)
GITHUB_REPO = "usestrix/strix"
PYPI_PACKAGE = "strix-agent"
CHECK_INTERVAL_SECONDS = 60 * 60
CHECK_INTERVAL_SECONDS = 24 * 60 * 60
REQUEST_TIMEOUT_SECONDS = 5
PROMPT_JOIN_TIMEOUT_SECONDS = 3.0
_CACHE_PATH = Path.home() / ".strix" / "update-check.json"
@@ -176,7 +175,7 @@ def _refresh_cache() -> None:
def start_background_check() -> None:
"""Refresh the cached latest-version info in a daemon thread (at most once per hour)."""
"""Refresh the cached latest-version info in a daemon thread (at most once per 24h)."""
global _background_thread # noqa: PLW0603
if _is_disabled():
return
@@ -188,16 +187,12 @@ def start_background_check() -> None:
_background_thread.start()
def get_available_update(
*,
respect_skip: bool = True,
join_timeout: float = 0.2,
) -> str | None:
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=join_timeout)
_background_thread.join(timeout=0.2)
cache = _read_cache()
latest = cache.get("latest_version")
current = get_version()
@@ -244,7 +239,7 @@ def prompt_update_if_available(console: Console) -> bool:
Returns True if strix was updated (caller should re-exec / exit).
"""
latest = get_available_update(join_timeout=PROMPT_JOIN_TIMEOUT_SECONDS)
latest = get_available_update()
if not latest or not sys.stdin.isatty() or not sys.stdout.isatty():
return False
console.print()
@@ -276,13 +271,7 @@ def _release_target() -> str | None:
if os_name is None:
return None
target = f"{os_name}-{arch}"
supported = {
"linux-x86_64",
"linux-arm64",
"macos-x86_64",
"macos-arm64",
"windows-x86_64",
}
supported = {"linux-x86_64", "macos-x86_64", "macos-arm64", "windows-x86_64"}
return target if target in supported else None
+14 -44
View File
@@ -11,10 +11,11 @@ import tempfile
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
from urllib.error import HTTPError, URLError
from urllib.parse import urlparse
from urllib.request import Request, urlopen
import docker
import requests
from docker.errors import DockerException, ImageNotFound
from rich.console import Console
from rich.panel import Panel
@@ -252,20 +253,6 @@ 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))
@@ -296,16 +283,11 @@ 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")
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("$0.0000 ", style="#fbbf24")
stats_text.append("· ", style="dim white")
stats_text.append("Tokens ", style="dim")
stats_text.append("0", style="white")
@@ -330,12 +312,7 @@ def _build_llm_usage_stats(
stats_text.append("Output Tokens ", style="dim")
stats_text.append(format_token_count(output_tokens), style="white")
if subscription:
stats_text.append(" · ", style="dim white")
stats_text.append("Cost ", style="dim")
stats_text.append("$0.00", style="#22c55e")
stats_text.append(" (subscription)", style="dim")
elif live or cost > 0:
if live or cost > 0:
stats_text.append(" · ", style="dim white")
stats_text.append("Cost ", style="dim")
stats_text.append(f"${cost:.4f}", style="#fbbf24")
@@ -360,9 +337,6 @@ 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)
@@ -405,10 +379,6 @@ 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:
@@ -418,10 +388,7 @@ def build_tui_stats_text(report_state: Any) -> Text:
style="white",
)
cost = _float_stat(usage, "cost")
if subscription:
stats_text.append(" · ", style="white")
stats_text.append("$0.00", style="white")
elif cost > 0:
if cost > 0:
stats_text.append(" · ", style="white")
stats_text.append(f"${cost:.2f}", style="white")
@@ -1087,12 +1054,13 @@ def resolve_diff_scope_context(
def _is_http_git_repo(url: str) -> bool:
check_url = f"{url.rstrip('/')}/info/refs?service=git-upload-pack"
try:
resp = requests.get(check_url, headers={"User-Agent": "git/strix"}, timeout=10)
except (requests.RequestException, ValueError):
req = Request(check_url, headers={"User-Agent": "git/strix"}) # noqa: S310
with urlopen(req, timeout=10) as resp: # noqa: S310 # nosec B310
return "x-git-upload-pack-advertisement" in resp.headers.get("Content-Type", "")
except HTTPError as e:
return e.code == 401
except (URLError, OSError, ValueError):
return False
if resp.status_code >= 400:
return resp.status_code == 401
return "x-git-upload-pack-advertisement" in resp.headers.get("Content-Type", "")
def infer_target_type(target: str) -> tuple[str, dict[str, str]]: # noqa: PLR0911
@@ -1179,7 +1147,9 @@ 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
@@ -1,121 +0,0 @@
"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 ?? ""} ${r.endpoint}` : ""}
</div>
)}
{r.description_preview && (
<div className="ml-3"><Markdown text={r.description_preview} /></div>
)}
</div>
))}
</div>
) : <div className="mt-1 text-[#555] text-xs">No reports filed yet</div>}
</div>
);
}
@@ -1,27 +0,0 @@
export interface ParsedFencedCode {
language?: string;
code: string;
}
const FENCE_RE = /^```([^\n`]*)\r?\n([\s\S]*?)\r?\n?```$/;
/**
* 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] };
}
@@ -1,32 +0,0 @@
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;
File diff suppressed because one or more lines are too long
-1
View File
@@ -1 +0,0 @@
"""LLM-facing context management: model-aware budgets and history compaction."""
-354
View File
@@ -1,354 +0,0 @@
"""Provider-agnostic conversation compaction.
When an agent's session grows past the model's usable context window, older
turns are summarised into a single checkpoint while the most recent turns are
kept verbatim. This runs for every LiteLLM provider (not just OpenAI), keeps a
security-focused structured summary, and preserves tool-call/tool-result
pairing so the trimmed history is still valid provider input.
"""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any
import litellm
from litellm.exceptions import BadRequestError, ContextWindowExceededError
from strix.config import load_settings
from strix.core.sessions import replace_session_items, session_write_lock
from strix.llm.context_budget import context_window, count_tokens, output_limit
if TYPE_CHECKING:
from agents.memory import Session
logger = logging.getLogger(__name__)
_CHECKPOINT_TAG = "<conversation-checkpoint>"
_TOOL_OUTPUT_MAX_CHARS = 2_000
_MIN_ITEMS_TO_COMPACT = 6
_HEAD_TRUNCATED_MARKER = "\n\n[... older conversation omitted to fit the summary request ...]\n\n"
# Providers that don't type overflow errors (OpenRouter maps every 400 to a
# plain BadRequestError) leave only the message to go on, so we match it the way
# LiteLLM's own checker does — but with rate-limit exclusions first, so a
# throttling 429 is never mistaken for an overflow and sent into compaction.
_OVERFLOW_EXCLUSIONS = (
"rate limit",
"too many requests",
"throttling",
"service unavailable",
"quota",
)
_OVERFLOW_MARKERS = (
"context length",
"context window",
"context_length_exceeded",
"prompt is too long",
"input is too long",
"input length",
"maximum prompt length",
"reduce the length of the messages",
"too many tokens",
"token limit exceeded",
"request entity too large",
)
def is_context_overflow(exc: BaseException) -> bool:
"""Whether ``exc`` is a model context-window-overflow error.
LiteLLM types most providers' overflow as ContextWindowExceededError, but its
OpenRouter branch raises a plain BadRequestError, so for that we fall back to
matching the provider message.
"""
if isinstance(exc, ContextWindowExceededError):
return True
if isinstance(exc, BadRequestError):
msg = str(exc).lower()
if any(x in msg for x in _OVERFLOW_EXCLUSIONS):
return False
return any(x in msg for x in _OVERFLOW_MARKERS)
return False
_SUMMARY_INSTRUCTIONS = """\
You are compacting the earlier part of an autonomous security-testing agent's \
conversation so it fits the model context window. Produce a dense, factual \
record that lets the agent continue with no loss of important state.
This is a security engagement: dropped findings mean lost vulnerabilities. Be \
EXHAUSTIVE, not concise. Enumerate every distinct item as its own bullet \
never merge, deduplicate, generalise, or omit distinct findings, credentials, \
or dead ends, even if they seem minor or repetitive. If the source mentions \
five vulnerabilities, list five. Copy exact values verbatim: URLs, endpoints, \
file paths, parameters, payloads, credentials, tokens, keys, hashes, cracked \
passwords, software versions, and error messages never paraphrase or \
placeholder them. Do not invent anything and do not describe this compaction \
process.
Return Markdown with exactly these sections:
## Objective
The overall goal and target scope.
## Vulnerabilities & Findings
One bullet per DISTINCT vulnerability or finding (SQLi, XSS, SSRF, auth bypass, \
misconfig, etc.). For each: type, exact location (URL/endpoint/param/file), the \
verbatim payload or proof, confirmation status, and impact. List them all.
## Credentials & Secrets
One bullet per credential, secret, API key, token, hash, or cracked password, \
copied verbatim with where it applies. Write "(none)" only if truly none.
## System & Recon Details
Architecture, tech stack, versions, discovered endpoints/paths/params, and \
other weak points worth keeping.
## Work State
- Completed: what has been verified or finished.
- Active: what is in progress right now.
- Blocked: anything stuck and why.
## Failed Attempts & Dead Ends
One bullet per approach already tried that did not work (including WAF blocks, \
filtered inputs, non-exploitable leads) so they are not repeated. Write \
"(none)" only if truly none.
## Next Move
The concrete next step(s) the agent intended to take.
## Relevant Files
Files/notes/reports created or modified and their purpose."""
def _content_text(content: Any) -> str:
if isinstance(content, str):
return content
if isinstance(content, list):
parts: list[str] = []
for block in content:
if not isinstance(block, dict):
continue
text = block.get("text")
if isinstance(text, str):
parts.append(text)
elif block.get("type") in {"input_image", "image_url", "output_image"}:
parts.append("[image]")
return "\n".join(parts)
return ""
def _truncate(text: str, limit: int) -> str:
return text if len(text) <= limit else f"{text[:limit]}\n[truncated]"
def _serialize_item(item: Any) -> str:
if not isinstance(item, dict):
return str(item)
item_type = item.get("type")
role = item.get("role")
if item_type == "function_call":
args = _truncate(str(item.get("arguments", "")), _TOOL_OUTPUT_MAX_CHARS)
return f"[tool_call {item.get('name', '?')}] {args}"
if item_type == "function_call_output":
output = item.get("output")
text = output if isinstance(output, str) else _content_text(output)
return f"[tool_result] {_truncate(text, _TOOL_OUTPUT_MAX_CHARS)}"
if item_type == "reasoning":
return ""
if role or item_type == "message":
return f"[{role or 'assistant'}] {_content_text(item.get('content'))}".strip()
return ""
def _serialize_items(items: list[Any]) -> str:
return "\n".join(s for s in (_serialize_item(item) for item in items) if s)
def _is_tool_call(item: Any) -> bool:
return isinstance(item, dict) and item.get("type") == "function_call"
def _is_tool_output(item: Any) -> bool:
return isinstance(item, dict) and item.get("type") == "function_call_output"
def _open_calls_at(items: list[Any]) -> list[int]:
"""Prefix count of tool calls still awaiting their result at each index;
a split is only safe where this is zero."""
balance = [0] * (len(items) + 1)
for i, item in enumerate(items):
delta = 1 if _is_tool_call(item) else -1 if _is_tool_output(item) else 0
balance[i + 1] = max(0, balance[i] + delta)
return balance
def _select_split(model: str, items: list[Any], keep_tokens: int) -> int:
"""Index where the kept-verbatim recent tail begins: walk newest→oldest to
``keep_tokens``, then snap to a point with no tool call left open."""
total = 0
split = len(items)
for i in range(len(items) - 1, -1, -1):
total += count_tokens(model, _serialize_item(items[i]))
if total > keep_tokens:
break
split = i
open_calls = _open_calls_at(items)
while split > 0 and open_calls[split] != 0:
split -= 1
return split
def _previous_summary(head: list[Any]) -> str | None:
for item in head:
if isinstance(item, dict) and item.get("role") == "user":
text = _content_text(item.get("content"))
if text.startswith(_CHECKPOINT_TAG):
return text
return None
def _fit_to_tokens(model: str, text: str, max_tokens: int) -> str:
"""Head+tail-truncate ``text`` to ``max_tokens``, keeping start and end."""
if count_tokens(model, text) <= max_tokens:
return text
# Rough char budget (~4x tokens), then tighten by real token count.
budget_chars = max_tokens * 4
head_chars = budget_chars // 2
tail_chars = budget_chars - head_chars
candidate = text[:head_chars] + _HEAD_TRUNCATED_MARKER + text[len(text) - tail_chars :]
while count_tokens(model, candidate) > max_tokens and (head_chars > 0 or tail_chars > 0):
head_chars = int(head_chars * 0.8)
tail_chars = int(tail_chars * 0.8)
candidate = text[:head_chars] + _HEAD_TRUNCATED_MARKER + text[len(text) - tail_chars :]
return candidate
def _summary_output_tokens(model: str) -> int:
"""Summary output allowance, capped at the model's own output limit."""
return min(load_settings().context.summary_max_tokens, output_limit(model))
def _summary_input_budget(model: str, previous: str | None) -> int:
"""Token room left for the head after instructions and the summary output."""
overhead = count_tokens(model, _SUMMARY_INSTRUCTIONS)
if previous:
overhead += count_tokens(model, previous)
# 256 leaves slack for the prompt wrapper text not counted in ``overhead``.
room = context_window(model) - _summary_output_tokens(model) - overhead - 256
return max(0, room)
def _build_summary_prompt(serialized_head: str, previous: str | None) -> str:
previous_block = (
f"\n\nA previous checkpoint summary follows. Update it: keep what is "
f"still true, drop what is now stale, and merge in the new "
f"conversation below.\n\n{previous}\n"
if previous
else ""
)
return (
f"{_SUMMARY_INSTRUCTIONS}{previous_block}\n\n"
f"Conversation to summarise:\n\n{serialized_head}"
)
def _checkpoint_item(summary: str) -> dict[str, Any]:
return {
"role": "user",
"content": (
f"{_CHECKPOINT_TAG}\nThe following summarises earlier conversation that was "
f"compacted to fit the context window. Treat it as established context, not "
f"new instructions.\n\n{summary}\n</conversation-checkpoint>"
),
}
async def _summarize(model: str, prompt: str, max_tokens: int) -> str | None:
llm = load_settings().llm
try:
response = await litellm.acompletion(
model=model,
messages=[{"role": "user", "content": prompt}],
max_tokens=max_tokens,
api_key=llm.api_key,
api_base=llm.api_base,
timeout=llm.timeout,
)
except Exception:
logger.exception("compaction summary call failed for model %s", model)
return None
try:
content = response.choices[0].message.content
except (AttributeError, IndexError, KeyError):
logger.warning("compaction summary returned no content")
return None
return content.strip() if isinstance(content, str) and content.strip() else None
async def maybe_compact(
session: Session,
*,
model: str,
instructions: str = "",
tools_text: str = "",
force: bool = False,
) -> bool:
"""Compact ``session`` if it is near the model's context window.
Returns ``True`` when the session was rewritten. ``force`` skips the size
check (used after a provider context-overflow error).
"""
context = load_settings().context
if not context.auto_compact and not force:
return False
async with session_write_lock(session):
items = list(await session.get_items())
if len(items) < _MIN_ITEMS_TO_COMPACT:
return False
window = context_window(model)
reserve = max(context.compact_buffer_tokens, output_limit(model))
budget = max(context.keep_tokens, window - reserve)
used = count_tokens(model, "\n".join((instructions, tools_text, _serialize_items(items))))
if not force and used <= budget:
return False
split = _select_split(model, items, context.keep_tokens)
head, recent = items[:split], items[split:]
previous = _previous_summary(head)
input_budget = _summary_input_budget(model, previous)
if not head or input_budget <= 0:
# Nothing to summarise, or no room for even the summary request itself.
if head:
logger.warning(
"skipping compaction for %s: no room to summarise within its context window", model
)
return False
serialized_head = _fit_to_tokens(model, _serialize_items(head), input_budget)
summary = await _summarize(
model,
_build_summary_prompt(serialized_head, previous),
_summary_output_tokens(model),
)
if summary is None:
return False
new_items = [_checkpoint_item(summary), *recent]
rewritten = await replace_session_items(session, new_items, expected_len=len(items))
if rewritten:
logger.info(
"compacted %s: %d items (~%d tok) -> %d items (summary + %d recent)",
model,
len(items),
used,
len(new_items),
len(recent),
)
return rewritten
-76
View File
@@ -1,76 +0,0 @@
"""Model-aware token budgets, resolved from LiteLLM model metadata with a
large configurable fallback for models LiteLLM doesn't map.
"""
from __future__ import annotations
import logging
from functools import lru_cache
from typing import Any
import litellm
from strix.config import load_settings
logger = logging.getLogger(__name__)
# LiteLLM keys models without the routing prefix users type (``openai/``,
# ``litellm/``, ``ollama/`` ...). Strip a leading provider segment on lookup.
_STRIPPABLE_PREFIXES = ("openai/", "litellm/", "any-llm/", "ollama/", "ollama_chat/")
_DEFAULT_OUTPUT_TOKENS = 8_192
def _lookup_key(model: str) -> str:
for prefix in _STRIPPABLE_PREFIXES:
if model.startswith(prefix):
return model[len(prefix) :]
return model
def _safe_get_model_info(model: str) -> dict[str, Any] | None:
try:
return dict(litellm.get_model_info(model))
except Exception: # noqa: BLE001 - unmapped models raise; caller falls back.
return None
@lru_cache(maxsize=128)
def _model_info(model: str) -> dict[str, int]:
for candidate in (model, _lookup_key(model)):
info = _safe_get_model_info(candidate)
if info is not None:
return {
"max_input_tokens": int(
info.get("max_input_tokens") or info.get("max_tokens") or 0
),
"max_output_tokens": int(info.get("max_output_tokens") or 0),
}
logger.debug("No LiteLLM model info for %r; using configured fallbacks", model)
return {"max_input_tokens": 0, "max_output_tokens": 0}
def context_window(model: str) -> int:
"""Input token capacity for ``model`` (configured fallback when unmapped)."""
resolved = _model_info(model)["max_input_tokens"]
return resolved or load_settings().context.fallback_context_tokens
def output_limit(model: str) -> int:
"""Max output tokens for ``model`` (a conservative default when unmapped)."""
return _model_info(model)["max_output_tokens"] or _DEFAULT_OUTPUT_TOKENS
def count_tokens(model: str, text: str) -> int:
"""Token count for ``text`` under ``model``.
Falls back to UTF-8 byte length (a guaranteed upper bound) when LiteLLM
can't count, so budget checks stay conservative.
"""
if not text:
return 0
try:
return int(litellm.token_counter(model=_lookup_key(model), text=text))
except Exception: # noqa: BLE001 - tokenizer may be unavailable for some models.
return len(text.encode("utf-8"))
+8 -42
View File
@@ -13,55 +13,20 @@ from openai.types.responses import ResponseOutputMessage
from strix.config import load_settings
from strix.config.models import (
DEFAULT_MODEL_RETRY,
StrixProvider,
configure_sdk_model_defaults,
request_timeout_extra_args,
)
from strix.core.inputs import make_model_settings
from strix.report.state import get_global_report_state
if TYPE_CHECKING:
from agents.items import ModelResponse
from strix.config.settings import DedupeSettings
logger = logging.getLogger(__name__)
def _dedupe_extra_args(dedupe: DedupeSettings) -> dict[str, str]:
"""Per-call credential + endpoint for the dedupe model.
Provider env vars and the global base URL are process-wide, so a
shared-provider dedupe key or a distinct dedupe endpoint can't be installed
globally without clobbering (or being clobbered by) the main model's
config. Passing them per call keeps the two apart. Only applies when a
dedicated dedupe model is configured.
"""
if not dedupe.model:
return {}
extra: dict[str, str] = {}
if dedupe.api_key and dedupe.api_key.strip():
extra["api_key"] = dedupe.api_key.strip()
if dedupe.api_base and dedupe.api_base.strip():
extra["api_base"] = dedupe.api_base.strip()
return extra
def _dedupe_model_settings(
dedupe: DedupeSettings, model_name: str, request_timeout: float | None
) -> ModelSettings:
settings = make_model_settings(
dedupe.reasoning_effort,
model_name=model_name,
force_required_tool_choice=False,
request_timeout=request_timeout,
)
extra = _dedupe_extra_args(dedupe)
if extra:
settings = settings.resolve(ModelSettings(extra_args=extra))
return settings
DEDUPE_SYSTEM_PROMPT = """You are an expert vulnerability report deduplication judge.
Your task is to determine if a candidate vulnerability report describes the SAME vulnerability
as any existing report.
@@ -321,14 +286,13 @@ async def check_duplicate(
try:
settings = load_settings()
dedupe = settings.dedupe
model_name = (dedupe.model or "").strip() or settings.llm.model
model_name = settings.llm.model
if not model_name:
return {
"is_duplicate": False,
"duplicate_id": "",
"confidence": 0.0,
"reason": "No LLM model configured; skipping dedupe check",
"reason": "STRIX_LLM not configured; skipping dedupe check",
}
candidate_cleaned = _prepare_report_for_comparison(candidate)
@@ -347,8 +311,10 @@ async def check_duplicate(
response = await model.get_response(
system_instructions=DEDUPE_SYSTEM_PROMPT,
input=user_msg,
model_settings=_dedupe_model_settings(
dedupe, resolved_model, settings.llm.timeout
model_settings=ModelSettings(
retry=DEFAULT_MODEL_RETRY,
include_usage=True,
extra_args=request_timeout_extra_args(settings.llm.timeout),
),
tools=[],
output_schema=None,
-5
View File
@@ -10,8 +10,6 @@ from uuid import uuid4
from agents.usage import Usage
from strix.config import codex
from strix.config.loader import load_settings
from strix.core.paths import run_dir_for
from strix.report.sarif import write_sarif
from strix.report.usage import LLMUsageLedger
@@ -119,15 +117,12 @@ class ReportState:
self.scan_results: dict[str, Any] | None = None
self.scan_config: dict[str, Any] | None = None
self._llm_usage = LLMUsageLedger()
auth_mode = codex.auth_mode(load_settings().llm.model)
self._llm_usage.zero_cost = auth_mode == "subscription"
self.run_record: dict[str, Any] = {
"run_id": self.run_id,
"run_name": self.run_name,
"start_time": self.start_time,
"end_time": None,
"status": "running",
"auth_mode": auth_mode,
"targets_info": [],
"llm_usage": self._build_llm_usage_record(),
}
+1 -6
View File
@@ -19,9 +19,6 @@ class LLMUsageLedger:
self._agent_usage: dict[str, Usage] = {}
self._agent_metadata: dict[str, dict[str, str]] = {}
self._total_cost = 0.0
# When True, tokens are still tracked but cost stays $0 — the run is on a
# model subscription, so there is no metered per-token charge to report.
self.zero_cost = False
def record(
self,
@@ -44,7 +41,7 @@ class LLMUsageLedger:
if model:
metadata["model"] = model
if not self.zero_cost and not _is_litellm_routed(model):
if not _is_litellm_routed(model):
estimated = _estimate_litellm_cost(usage, model)
if estimated:
self._total_cost += estimated
@@ -52,8 +49,6 @@ class LLMUsageLedger:
return True
def record_observed_cost(self, cost: float) -> None:
if self.zero_cost:
return
if isinstance(cost, int | float) and cost > 0:
self._total_cost += float(cost)
+6 -65
View File
@@ -10,27 +10,19 @@ import re
import tempfile
from datetime import UTC, datetime
from pathlib import Path
from typing import TYPE_CHECKING, Any, cast
from pygments.lexers import PythonLexer, get_lexer_by_name, guess_lexer
from pygments.lexers.special import TextLexer
from pygments.util import ClassNotFound
from typing import Any
from strix.core.paths import run_record_path
if TYPE_CHECKING:
from pygments.lexer import Lexer
logger = logging.getLogger(__name__)
_SEVERITY_ORDER = {"critical": 0, "high": 1, "medium": 2, "low": 3, "info": 4}
_FENCE_RE = re.compile(r"^```([^\n`]*)\r?\n(.*?)\r?\n?```$", re.DOTALL)
_BACKTICK_RUN = re.compile(r"`+")
def safe_fence(content: str) -> str:
def _safe_fence(content: str) -> str:
"""Return a backtick fence that ``content`` cannot break out of.
Per CommonMark a fenced code block is closed only by a run of backticks at
@@ -43,56 +35,6 @@ def safe_fence(content: str) -> str:
return "`" * max(3, longest + 1)
def parse_fenced_code(raw: str) -> tuple[str | None, str]:
"""Split an optionally fenced code string into ``(language, code)``.
Agent-generated code fields (e.g. ``poc_script_code``) are stored wrapped in
a markdown fence carrying the language, like ``` ```python\n...\n``` ```.
Return the fence's language tag and the inner code, or ``(None, raw)`` when
the value isn't fenced.
"""
match = _FENCE_RE.match(raw.strip())
if not match:
return None, raw
info = match.group(1).strip()
language = info.split()[0] if info else None
return (language or None), match.group(2)
def resolve_lexer(language: str | None, code: str) -> Lexer:
"""Pick a pygments lexer for ``code``.
Prefer the explicit fence ``language`` when it names a known lexer, otherwise
auto-detect from the source. Fall back to Python when detection is
inconclusive, since legacy (unfenced) PoC scripts are Python.
"""
if language:
try:
return get_lexer_by_name(language)
except ClassNotFound:
pass
try:
lexer = guess_lexer(code)
except ClassNotFound:
return cast("Lexer", PythonLexer())
# ``guess_lexer`` returns the plain-text lexer when it can't detect anything.
if isinstance(lexer, TextLexer):
return cast("Lexer", PythonLexer())
return lexer
def guess_language_name(code: str) -> str:
"""Return a markdown fence tag for ``code``, defaulting to ``python`` when
auto-detection is inconclusive."""
try:
lexer = guess_lexer(code)
except ClassNotFound:
return "python"
if isinstance(lexer, TextLexer) or not lexer.aliases:
return "python"
return str(lexer.aliases[0])
def read_run_record(run_dir: Path) -> dict[str, Any]:
path = run_record_path(run_dir)
if not path.exists():
@@ -245,10 +187,9 @@ def render_vulnerability_md(report: dict[str, Any]) -> str: # noqa: PLR0912, PL
lines.append(str(report["poc_description"]))
lines.append("")
if report.get("poc_script_code"):
language, code = parse_fenced_code(str(report["poc_script_code"]))
fence_lang = language or guess_language_name(code)
fence = safe_fence(code)
lines.append(f"{fence}{fence_lang}")
code = str(report["poc_script_code"])
fence = _safe_fence(code)
lines.append(fence)
lines.append(code)
lines.append(fence)
lines.append("")
@@ -268,7 +209,7 @@ def render_vulnerability_md(report: dict[str, Any]) -> str: # noqa: PLR0912, PL
lines.append(f" {loc['label']}")
if loc.get("snippet"):
snippet = str(loc["snippet"])
fence = safe_fence(snippet)
fence = _safe_fence(snippet)
lines.append(f" {fence}")
lines.extend(f" {ln}" for ln in snippet.splitlines())
lines.append(f" {fence}")
+1 -1
View File
@@ -110,7 +110,7 @@ def stage_symlink_safe_dir(src_root: Path) -> tuple[Path, Path | None]:
if not tree_has_symlink(root):
return root, None
staged = Path(tempfile.mkdtemp(prefix=_STAGING_PREFIX)).resolve()
staged = Path(tempfile.mkdtemp(prefix=_STAGING_PREFIX))
try:
_stage_dir(root, staged, root, frozenset({root}))
except OSError:
+20 -19
View File
@@ -54,17 +54,18 @@ CT logs record nearly every publicly-trusted certificate. Query by domain (match
## Recommended Tooling
These tools are available in the sandbox and are pipeline-friendly with JSON output:
Prefer the projectdiscovery suite (already available in the sandbox and pipeline-friendly with JSON output):
- **`subfinder`** — passive subdomain aggregation across many sources incl. CT: `subfinder -d example.com -all -recursive -silent -oJ -o subs.jsonl`
- **`httpx`** — live probing plus cert/SAN grab in one pass: `httpx -l hosts.txt -tls-grab -json` (see methodology).
- **`tlsx`** — TLS/cert data at scale; grab SANs and issuer/org to pivot: `tlsx -l hosts.txt -san -cn -tls-version -json -o tls.jsonl`
- **`uncover`** — query Shodan/Censys/Fofa/Quake/crt.sh engines from one CLI: `uncover -q 'ssl:"Example Inc"' -e shodan,censys,fofa -json`
- **`asnmap`** — org/domain/ASN → CIDR ranges: `asnmap -d example.com -json` / `asnmap -org "Example Inc"`
- **`mapcidr`** — expand/aggregate CIDRs into host lists for probing: `mapcidr -cidr 192.0.2.0/24 -o hosts.txt`
- **`dnsx`** — fast resolution, PTR, and wildcard filtering: `dnsx -l names.txt -a -aaaa -cname -ptr -resp -json -o dns.jsonl`
- **`httpx`** — live probing + cert grab in one pass (see methodology).
- **`naabu`** — port sweep for non-HTTP services: `naabu -list hosts.txt -top-ports 100 -verify -silent`
- **`curl` + `jq`** — direct **crt.sh** JSON queries for CT (no key needed) and other index APIs.
- **`openssl s_client`** — active read of a live host's cert to extract SANs/CN.
- **`dig`** / **`nslookup`** — forward/reverse (PTR) resolution and CNAME chains.
- **`whois`** — ASN/netblock lookups (e.g. `whois -h whois.cymru.com`).
Cross-source results — CT + passive DNS + `subfinder` together beat any single source. If you need a tool that is not installed, install it into the sandbox at runtime.
Also useful: **`amass`** (`amass intel`/`enum` for ASN, cert, and passive sources), **`cero`** (bulk SAN extraction from IPs/ranges), and direct **crt.sh** JSON queries when no keys are configured. Cross-source results — CT + passive DNS + `subfinder` together beat any single source.
## Key Techniques
@@ -74,7 +75,7 @@ Every new name, PTR result, CNAME target, and cert SAN becomes a fresh seed. Loo
### Cert-Fingerprint Pivoting
Search Censys/Shodan by a cert's `fingerprint_sha256` to find every other host presenting the same certificate — the strongest cross-asset link for tying acquisitions and shadow infra to the target.
Search Censys/Shodan (or `uncover`) by a cert's `fingerprint_sha256` to find every other host presenting the same certificate — the strongest cross-asset link for tying acquisitions and shadow infra to the target.
### Naming-Convention Inference
@@ -82,11 +83,11 @@ Wildcard SANs and observed hostnames expose the org's naming scheme; generate ta
### IP-First Discovery
For ASN-owned ranges, sweep IPs directly with `naabu`/`httpx` and read served certs (`httpx -tls-grab`, or `openssl s_client`) to find services that have no DNS name at all.
For ASN-owned ranges, sweep IPs directly with `naabu`/`httpx` and read served certs (`tlsx`) to find services that have no DNS name at all.
## Advanced Techniques
- **Active SAN harvesting** across whole ranges with `httpx -tls-grab` (or `openssl s_client`) recovers internal hostnames never logged to public CT.
- **Active SAN harvesting** across whole ranges with `tlsx`/`cero` recovers internal hostnames never logged to public CT.
- **Favicon and response hashing** (`httpx -favicon`, hash pivots in Shodan) clusters instances of the same app across unrelated hostnames.
- **Vhost differentials**: probe a single IP with multiple `Host:` values to unmask co-located apps behind one address.
- **Historical CT/DNS diffing** highlights recently issued certs and newly appearing hosts — high-signal for fresh or misconfigured deployments.
@@ -107,11 +108,11 @@ For ASN-owned ranges, sweep IPs directly with `naabu`/`httpx` and read served ce
## Testing Methodology
1. **Seed** - domains, org/legal names, known IPs, email domains, code-host org
2. **Certificate transparency** - pull all logged certs per seed domain and org name (crt.sh, Censys/Shodan)
3. **SAN/CN extraction** - parse every Subject CN and SAN with `httpx -tls-grab` (or `openssl s_client`); each new name is a new seed
4. **Passive DNS** - resolve forward and reverse with `dig`; harvest historical records
5. **ASN/IP mapping** - `whois` the netblock/ASN to expand owned ranges, then sweep for live hosts
6. **Active TLS pivot** - `httpx -tls-grab` on live IPs/ports to grab SANs missing from public CT
2. **Certificate transparency** - pull all logged certs per seed domain and org name (crt.sh, `uncover`)
3. **SAN/CN extraction** - parse every Subject CN and SAN with `tlsx`; each new name is a new seed
4. **Passive DNS** - resolve forward and reverse with `dnsx`; harvest historical records
5. **ASN/IP mapping** - `asnmap``mapcidr` to expand owned ranges, then sweep for live hosts
6. **Active TLS pivot** - `tlsx`/`cero` on live IPs/ports to grab SANs missing from public CT
7. **Consolidate & probe** - dedupe, `httpx` probe, classify, and route to specialists
## Validation
@@ -138,13 +139,13 @@ For ASN-owned ranges, sweep IPs directly with `naabu`/`httpx` and read served ce
## Pro Tips
1. Loop the pipeline — every SAN, PTR, and CNAME target is a new seed until the set converges.
2. crt.sh is the cheapest high-yield source (no key); Censys/Shodan add cert-fingerprint and vhost pivoting when keys exist.
3. Always cert-grab live hosts with `httpx -tls-grab` (or `openssl s_client`) — active SANs catch internal hostnames never sent to public CT.
2. crt.sh is the cheapest high-yield source (no key); Censys/Shodan via `uncover` add cert-fingerprint and vhost pivoting when keys exist.
3. Always cert-grab live hosts with `tlsx` — active SANs catch internal hostnames never sent to public CT.
4. Internal-looking SANs (`*.internal`, `*.svc.cluster.local`, staging names) are the highest-signal leads.
5. Wildcard SANs reveal naming conventions — seed targeted guesses instead of blind brute force.
6. Cluster by function, not product name, so the workflow generalizes to any exposed service.
7. Keep JSON output throughout so stages chain cleanly (`subfinder``dig``httpx``naabu`).
7. Keep JSON output throughout so stages chain cleanly (`subfinder``dnsx``httpx``naabu`).
## Summary
Broad passive discovery — CT + TLS SAN pivoting + passive DNS + ASN/IP mapping, looped until convergence — finds the assets brute force misses, especially internal-named and forgotten services leaked through certificates. Build the inventory with `subfinder`, `httpx`, `naabu`, and CT/DNS/cert queries, probe and classify it generically, then route each interesting asset to the specialist skill for its class.
Broad passive discovery — CT + TLS SAN pivoting + passive DNS + ASN/IP mapping, looped until convergence — finds the assets brute force misses, especially internal-named and forgotten services leaked through certificates. Build the inventory with the projectdiscovery suite, probe and classify it generically, then route each interesting asset to the specialist skill for its class.
@@ -152,7 +152,7 @@ TLS clues: certificate CN/SAN referencing provider default host instead of the c
## Pro Tips
1. Build a pipeline: enumerate (subfinder) → resolve (dig) → probe (httpx) → fingerprint (nuclei/custom) → verify claims
1. Build a pipeline: enumerate (subfinder/amass) → resolve (dnsx) → probe (httpx) → fingerprint (nuclei/custom) → verify claims
2. Maintain a current fingerprint corpus; provider messages change frequently
3. Prefer minimal PoCs: static "ownership proof" page and, where allowed, DV cert issuance
4. Monitor CT for unexpected certs on your subdomains
@@ -1,6 +1,6 @@
---
name: weak-password-detection
description: Weak password detection, credential stuffing, and brute-force testing using common passwords, system-generated credentials, and HTTP fuzzing / NSE brute-force tooling
description: Weak password detection, credential stuffing, and brute-force testing using common passwords, system-generated credentials, and tooling like Hydra
---
# Weak Password Detection / Credential Brute-Force
@@ -98,7 +98,7 @@ Weak or default credentials remain one of the most prevalent and high-impact vul
- Season + year patterns: `Summer2025!`, `Winter2026@`
- Keyboard walks and leet speak variations
- Previously breached passwords for the target domain
- Scrape the target site to build a content-derived wordlist (e.g. a small custom Python crawler that harvests unique words)
- Cewl: `cewl -d 3 -m 5 -w custom.txt https://target.com` to generate from website content
### Credential Stuffing Workflows
@@ -123,25 +123,37 @@ Weak or default credentials remain one of the most prevalent and high-impact vul
### Service-Level Brute-Force
- HTTP login endpoints: `ffuf` or custom scripts (see Tooling)
- SSH/FTP/SMB/Telnet and other services: `nmap` NSE `*-brute` scripts, e.g. `nmap -p 22 --script ssh-brute --script-args userdb=users.txt,passdb=passwords.txt target.com`
- Databases (MySQL, PostgreSQL, MongoDB, Redis): weak/default credentials via the matching NSE brute script (`mysql-brute`, `pgsql-brute`, `mongodb-brute`, `redis-brute`) or a custom client script
- Any protocol lacking a ready script: custom Python
- SSH: `hydra -l admin -P passwords.txt ssh://target.com`
- FTP: `hydra -L users.txt -P passwords.txt ftp://target.com`
- RDP: `hydra -l administrator -P passwords.txt rdp://target.com`
- SMB: `hydra -L users.txt -P passwords.txt smb://target.com`
- Database: MySQL, PostgreSQL, MongoDB, Redis with weak credentials
- API endpoints: `ffuf` or custom scripts for HTTP-based brute-force
## Tooling
### ffuf (primary for web logins)
### Hydra (Primary Tool)
- HTTP POST form brute-force:
`hydra -l admin -P /usr/share/wordlists/rockyou.txt target.com http-post-form "/login:username=^USER^&password=^PASS^:Invalid credentials"`
- Basic Auth:
`hydra -L users.txt -P passwords.txt target.com http-get -s 8080 /admin`
- SSH:
`hydra -l root -P passwords.txt -t 4 ssh://target.com`
- FTP:
`hydra -L users.txt -P passwords.txt ftp://target.com`
- Custom headers and cookies:
`hydra ... http-post-form "/api/login:json={\"user\":\"^USER^\",\"pass\":\"^PASS^\"}:F=401"`
### ffuf (HTTP Fuzzing)
- Login brute-force with multiple users and passwords:
`ffuf -w users.txt:USER -w passwords.txt:PASS -u https://target.com/login -X POST -d "username=USER&password=PASS" -fr "Invalid"`
- JSON body / custom headers via `-H` and a JSON `-d` payload
- Filter by response size, status code, or regex to identify successes
### nmap NSE (service brute-force)
### Patator (Versatile Brute-Force)
- `*-brute` scripts cover many non-HTTP services:
`nmap -p 22 --script ssh-brute --script-args userdb=users.txt,passdb=passwords.txt target.com`
- Available scripts include `ssh-brute`, `ftp-brute`, `smb-brute`, `telnet-brute`, `mysql-brute`, `pgsql-brute`, `mongodb-brute`, `redis-brute`, `http-brute`, `http-form-brute`.
- `patator http_fuzz url=https://target.com/login method=POST body='username=FILE0&password=FILE1' 0=user.txt 1=pass.txt -x ignore:fgrep='Invalid'`
### Custom Python Scripts
@@ -151,10 +163,10 @@ Weak or default credentials remain one of the most prevalent and high-impact vul
### Wordlists
No password wordlists ship in the sandbox by default — download what you need into `/home/pentester/tools/wordlists` at runtime:
- Common passwords (e.g. `rockyou.txt`) from its upstream source
- SecLists `Passwords/` and `Passwords/Default-Credentials/` (vendor defaults) from https://github.com/danielmiessler/SecLists
- Custom lists from target-specific scraping
- `/usr/share/wordlists/rockyou.txt` (common passwords)
- `/usr/share/seclists/Passwords/` (organized by category)
- `/usr/share/seclists/Passwords/Default-Credentials/` (vendor defaults)
- Custom lists from Cewl, CeWL, or target-specific scraping
- Breach compilation subsets filtered by target relevance
## Validation
@@ -192,7 +204,7 @@ No password wordlists ship in the sandbox by default — download what you need
6. Check for concurrent session limits; successful logins may kick out legitimate users
7. GraphQL batching can test multiple credentials in a single request, bypassing per-request limits
8. Document the password policy and recommend minimum standards (length, complexity, breach checking)
9. For web logins prefer `ffuf`; for other services use `nmap` NSE `*-brute` scripts or custom scripts with equivalent logic
9. When Hydra is unavailable, use ffuf or custom scripts with equivalent logic
10. Combine with MFA testing: weak passwords plus missing MFA is a critical finding
## Summary
+1 -1
View File
@@ -15,7 +15,7 @@ We collect only very **basic** usage data including:
**Session Errors:** Duration and error types (not messages or stack traces)\
**System Context:** OS type, architecture, Strix version\
**Scan Context:** Scan mode (quick/standard/deep), scan type (whitebox/blackbox)\
**Model Usage:** Which LLM model is being used and whether it runs via an API key or a model subscription (not prompts or responses)\
**Model Usage:** Which LLM model is being used (not prompts or responses)\
**Feature Usage:** Which built-in skills are loaded\
**Aggregate Metrics:** Vulnerability counts by severity and weakness category (CWE)
+9 -6
View File
@@ -1,9 +1,9 @@
import json
import logging
import urllib.request
from datetime import datetime
from typing import TYPE_CHECKING, Any
import requests
from strix.config import load_settings
from strix.telemetry._common import (
SESSION_ID,
@@ -37,7 +37,13 @@ def _send(event: str, properties: dict[str, Any]) -> bool:
"distinct_id": SESSION_ID,
"properties": properties,
}
requests.post(f"{_POSTHOG_HOST}/capture/", json=payload, timeout=10)
req = urllib.request.Request( # noqa: S310
f"{_POSTHOG_HOST}/capture/",
data=json.dumps(payload).encode(),
headers={"Content-Type": "application/json"},
)
with urllib.request.urlopen(req, timeout=10): # noqa: S310 # nosec B310
pass
except Exception: # noqa: BLE001
logger.debug("posthog send failed for event %s", event, exc_info=True)
return False
@@ -52,14 +58,12 @@ def start(
is_whitebox: bool,
interactive: bool,
has_instructions: bool,
auth_mode: str | None = None,
) -> None:
_send(
"scan_started",
{
**base_props(),
"model": model or "unknown",
"auth_mode": auth_mode or "api_key",
"scan_mode": scan_mode or "unknown",
"scan_type": "whitebox" if is_whitebox else "blackbox",
"interactive": interactive,
@@ -129,7 +133,6 @@ def end(report_state: "ReportState", exit_reason: str = "completed") -> None:
"scan_ended",
{
**base_props(),
"auth_mode": report_state.run_record.get("auth_mode") or "api_key",
"exit_reason": report_state.scan_ended_exit_reason,
"duration_seconds": round(duration),
"vulnerabilities_total": len(report_state.vulnerability_reports),
+4 -6
View File
@@ -2,11 +2,10 @@ from __future__ import annotations
import logging
import urllib.parse
import urllib.request
from datetime import datetime
from typing import TYPE_CHECKING, Any
import requests
from strix.config import load_settings
from strix.telemetry._common import (
SESSION_ID,
@@ -43,7 +42,9 @@ def _send(event: str, properties: dict[str, Any]) -> bool:
url = f"{_SCARF_ENDPOINT}{path}"
if query:
url = f"{url}?{query}"
requests.post(url, timeout=10)
req = urllib.request.Request(url, method="POST") # noqa: S310
with urllib.request.urlopen(req, timeout=10): # noqa: S310 # nosec B310
pass
except Exception: # noqa: BLE001
logger.debug("scarf send failed for event %s", event, exc_info=True)
return False
@@ -58,7 +59,6 @@ def start(
is_whitebox: bool,
interactive: bool,
has_instructions: bool,
auth_mode: str | None = None,
) -> None:
_send(
"scan_started",
@@ -66,7 +66,6 @@ def start(
**base_props(),
"session": SESSION_ID,
"model": model or "unknown",
"auth_mode": auth_mode or "api_key",
"scan_mode": scan_mode or "unknown",
"scan_type": "whitebox" if is_whitebox else "blackbox",
"interactive": interactive,
@@ -141,7 +140,6 @@ def end(report_state: ReportState, exit_reason: str = "completed") -> None:
{
**base_props(),
"session": SESSION_ID,
"auth_mode": report_state.run_record.get("auth_mode") or "api_key",
"exit_reason": report_state.scan_ended_exit_reason,
"duration_seconds": round(duration),
"vulnerabilities_total": len(report_state.vulnerability_reports),
+2 -2
View File
@@ -87,7 +87,7 @@ async def view_agent_graph(ctx: RunContextWrapper) -> str:
default=str,
)
parent_of, statuses, names, _ = await coordinator.graph_snapshot()
parent_of, statuses, names = await coordinator.graph_snapshot()
lines: list[str] = []
@@ -635,7 +635,7 @@ async def stop_agent(
ensure_ascii=False,
default=str,
)
_, statuses, _, _ = await coordinator.graph_snapshot()
_, statuses, _ = await coordinator.graph_snapshot()
if target_agent_id not in statuses:
return json.dumps(
{"success": False, "error": f"Unknown agent_id: {target_agent_id}"},
+6 -12
View File
@@ -116,16 +116,12 @@ async def finish_scan(
/ ``crashed`` / ``stopped`` agents are safe to leave behind.
Calling ``finish_scan`` while children are alive orphans their
work and produces an incomplete report.
2. It's a good idea to call ``list_reports`` before finishing to
review every finding filed in this scan (use ``get_report`` for
full detail on any of them) so your ``executive_summary`` /
``technical_analysis`` are grounded in what was actually reported
don't invent or omit findings. All vulnerabilities you found are
filed via ``create_vulnerability_report`` or, for known-CVE
dependency findings, ``create_dependency_report`` (un-reported
findings are not tracked and not credited). A dependency CVE
already filed via ``create_dependency_report`` counts as reported;
it does NOT need re-filing here and does NOT block finishing.
2. All vulnerabilities you found are filed via
``create_vulnerability_report`` or, for known-CVE dependency
findings, ``create_dependency_report`` (un-reported findings are
not tracked and not credited). A dependency CVE already filed via
``create_dependency_report`` counts as reported; it does NOT need
re-filing here and does NOT block finishing.
3. Don't double-report — one report per distinct vulnerability.
4. **Attack-chaining gate.** Do NOT finish until you have genuinely
considered chaining the confirmed findings into higher-impact,
@@ -253,8 +249,6 @@ async def finish_scan(
parent_id = inner.get("parent_id")
if coordinator is not None and parent_id is None and me is not None:
active_agents = await coordinator.active_agents_except(me)
if active_agents and coordinator.reserve_stopped:
active_agents = []
else:
active_agents = []
+6 -63
View File
@@ -27,21 +27,6 @@ _NOTE_ID_GENERATION_ATTEMPTS = 1024
_notes_path: Path | None = None
def _caller_identity(ctx: RunContextWrapper) -> tuple[str | None, str | None]:
"""Return the (agent_id, agent_name) of the agent invoking this tool."""
inner = ctx.context if isinstance(ctx.context, dict) else {}
raw_agent_id = inner.get("agent_id")
agent_id = raw_agent_id if isinstance(raw_agent_id, str) else None
agent_name: str | None = None
coordinator = inner.get("coordinator")
if agent_id is not None and coordinator is not None:
names = getattr(coordinator, "names", {})
if isinstance(names, dict):
raw_agent_name = names.get(agent_id)
agent_name = raw_agent_name if isinstance(raw_agent_name, str) else None
return agent_id, agent_name
def _generate_note_id() -> str | None:
for _ in range(_NOTE_ID_GENERATION_ATTEMPTS):
note_id = uuid.uuid4().hex[:6]
@@ -132,26 +117,10 @@ def _filter_notes(
return filtered
def _mark_authorship(
entry: dict[str, Any], note: dict[str, Any], caller_agent_id: str | None
) -> dict[str, Any]:
"""Attach the note's author and flag whether the caller wrote it."""
agent_name = note.get("agent_name")
if agent_name:
entry["agent_name"] = agent_name
agent_id = note.get("agent_id")
if agent_id:
entry["agent_id"] = agent_id
if caller_agent_id is not None and agent_id == caller_agent_id:
entry["by_you"] = True
return entry
def _to_note_listing_entry(
note: dict[str, Any],
*,
include_content: bool = False,
caller_agent_id: str | None = None,
) -> dict[str, Any]:
entry = {
"note_id": note.get("note_id"),
@@ -169,7 +138,7 @@ def _to_note_listing_entry(
entry["content_preview"] = f"{content[:_DEFAULT_CONTENT_PREVIEW_CHARS].rstrip()}..."
else:
entry["content_preview"] = content
return _mark_authorship(entry, note, caller_agent_id)
return entry
def _create_note_impl(
@@ -177,8 +146,6 @@ def _create_note_impl(
content: str,
category: str = "general",
tags: list[str] | None = None,
agent_id: str | None = None,
agent_name: str | None = None,
) -> dict[str, Any]:
with _notes_lock:
try:
@@ -212,10 +179,6 @@ def _create_note_impl(
"created_at": timestamp,
"updated_at": timestamp,
}
if agent_id:
note["agent_id"] = agent_id
if agent_name:
note["agent_name"] = agent_name
_notes_storage[note_id] = note
except (ValueError, TypeError) as e:
return {"success": False, "error": f"Failed to create note: {e}", "note_id": None}
@@ -234,17 +197,11 @@ def _list_notes_impl(
tags: list[str] | None = None,
search: str | None = None,
include_content: bool = False,
caller_agent_id: str | None = None,
) -> dict[str, Any]:
with _notes_lock:
try:
filtered = _filter_notes(category=category, tags=tags, search_query=search)
notes = [
_to_note_listing_entry(
n, include_content=include_content, caller_agent_id=caller_agent_id
)
for n in filtered
]
notes = [_to_note_listing_entry(n, include_content=include_content) for n in filtered]
except (ValueError, TypeError) as e:
return {
"success": False,
@@ -261,7 +218,7 @@ def _list_notes_impl(
}
def _get_note_impl(note_id: str, caller_agent_id: str | None = None) -> dict[str, Any]:
def _get_note_impl(note_id: str) -> dict[str, Any]:
with _notes_lock:
try:
if not note_id or not note_id.strip():
@@ -275,7 +232,6 @@ def _get_note_impl(note_id: str, caller_agent_id: str | None = None) -> dict[str
}
note_with_id = note.copy()
note_with_id["note_id"] = note_id
_mark_authorship(note_with_id, note, caller_agent_id)
except (ValueError, TypeError) as e:
return {"success": False, "error": f"Failed to get note: {e}", "note": None}
else:
@@ -348,9 +304,7 @@ async def create_note(
Notes are visible to every agent in the same scan for the lifetime
of the run; they live in-memory only and are cleared when the
process exits. Each note records the agent that wrote it, so
``list_notes`` / ``get_note`` show the author (``agent_name``) and
flag your own notes with ``by_you``.
process exits.
For actionable tasks, use ``todo`` instead notes are for capturing
information, todos are for tracking work.
@@ -375,11 +329,8 @@ async def create_note(
category: One of the categories above. Default ``"general"``.
tags: Optional free-form tags.
"""
agent_id, agent_name = _caller_identity(ctx)
return json.dumps(
await asyncio.to_thread(
_create_note_impl, title, content, category, tags, agent_id, agent_name
),
await asyncio.to_thread(_create_note_impl, title, content, category, tags),
ensure_ascii=False,
default=str,
)
@@ -404,9 +355,6 @@ async def list_notes(
when you need to scan many notes; expensive in tokens for large
notes.
Each entry also carries the author (``agent_name``) and, for notes
you wrote yourself, ``by_you: true``.
Args:
category: Filter by category.
tags: Filter to notes that have any of these tags.
@@ -414,7 +362,6 @@ async def list_notes(
include_content: When False (default) entries have a preview;
when True the full ``content`` is included.
"""
caller_agent_id, _ = _caller_identity(ctx)
return json.dumps(
await asyncio.to_thread(
_list_notes_impl,
@@ -422,7 +369,6 @@ async def list_notes(
tags=tags,
search=search,
include_content=include_content,
caller_agent_id=caller_agent_id,
),
ensure_ascii=False,
default=str,
@@ -436,11 +382,8 @@ async def get_note(ctx: RunContextWrapper, note_id: str) -> str:
Args:
note_id: Note id from ``create_note`` or a ``list_notes`` entry.
"""
caller_agent_id, _ = _caller_identity(ctx)
return json.dumps(
await asyncio.to_thread(_get_note_impl, note_id, caller_agent_id),
ensure_ascii=False,
default=str,
await asyncio.to_thread(_get_note_impl, note_id), ensure_ascii=False, default=str
)
-166
View File
@@ -1,166 +0,0 @@
"""Bound oversized tool results before they enter agent history.
Oversized results are spilled into the sandbox at
``/workspace/.strix/tool-output/<id>.txt``; the agent sees a head + tail slice
plus the path and reads the rest back with its own file tools. The spill writer
is injected by the runner via :func:`configure_spill_writer`.
"""
from __future__ import annotations
import logging
import uuid
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Awaitable, Callable
logger = logging.getLogger(__name__)
_TRUNCATION_NOTICE = "[... {lines} lines ({bytes} bytes) truncated ...]"
_WORKSPACE_SPILL_NOTICE = (
"[... {lines} lines ({bytes} bytes) truncated — full output saved to {path} "
"in the sandbox; read it with exec_command (e.g. `sed -n`, `grep`, `cat`) ...]"
)
WORKSPACE_SPILL_DIR = "/workspace/.strix/tool-output"
# Longest possible workspace path, used only to reserve notice bytes.
_SAMPLE_WORKSPACE_PATH = f"{WORKSPACE_SPILL_DIR}/{'0' * 32}.txt"
if TYPE_CHECKING:
SpillWriter = Callable[[str, str], Awaitable[str | None]]
_spill: dict[str, SpillWriter] = {}
def configure_spill_writer(writer: SpillWriter | None) -> None:
"""Install (or clear) the sandbox-workspace spill writer."""
if writer is None:
_spill.pop("writer", None)
else:
_spill["writer"] = writer
def _byte_len(text: str) -> int:
return len(text.encode("utf-8"))
def _take_prefix(text: str, max_bytes: int) -> str:
budget = 0
out: list[str] = []
for char in text:
size = len(char.encode("utf-8"))
if budget + size > max_bytes:
break
out.append(char)
budget += size
return "".join(out)
def _take_suffix(text: str, max_bytes: int) -> str:
budget = 0
out: list[str] = []
for char in reversed(text):
size = len(char.encode("utf-8"))
if budget + size > max_bytes:
break
out.append(char)
budget += size
out.reverse()
return "".join(out)
def _head_tail(
text: str,
max_lines: int,
max_bytes: int,
*,
notice_templates: tuple[str, ...] = (_TRUNCATION_NOTICE,),
) -> tuple[str, str, int, int] | None:
"""Head/tail slices plus dropped line/byte counts, or ``None`` if small.
``max_bytes`` bounds the entire joined result; the largest of
``notice_templates`` (plus separators) is reserved before slicing.
"""
lines = text.split("\n")
total_bytes = _byte_len(text)
if len(lines) <= max_lines and total_bytes <= max_bytes:
return None
# Reserve using the largest counts/path; ``+ 4`` covers the two "\n\n".
notice_overhead = (
max(
_byte_len(
template.format(
lines=len(lines),
bytes=total_bytes,
path=_SAMPLE_WORKSPACE_PATH,
)
)
for template in notice_templates
)
+ 4
)
byte_budget = max(2, max_bytes - notice_overhead)
head_lines = max(1, max_lines // 2)
tail_lines = max_lines - head_lines
head = "\n".join(lines[:head_lines])
tail = "\n".join(lines[len(lines) - tail_lines :]) if tail_lines > 0 else ""
half_bytes = max(1, byte_budget // 2)
if _byte_len(head) > half_bytes:
head = _take_prefix(head, half_bytes)
if tail and _byte_len(tail) > half_bytes:
tail = _take_suffix(tail, half_bytes)
# Count from the final slices; the byte pass may have dropped whole lines.
kept_lines = len(head.split("\n")) + (len(tail.split("\n")) if tail else 0)
dropped_lines = max(0, len(lines) - kept_lines)
dropped_bytes = max(0, total_bytes - _byte_len(head) - _byte_len(tail))
return head, tail, dropped_lines, dropped_bytes
def _join(head: str, tail: str, notice: str) -> str:
return f"{head}\n\n{notice}\n\n{tail}" if tail else f"{head}\n\n{notice}"
def bound_text(text: str, *, max_lines: int, max_bytes: int) -> str:
"""Return ``text`` unchanged when small, else a head+tail preview.
Nothing is persisted; use :func:`bound_and_store` to keep the full output.
"""
parts = _head_tail(text, max_lines, max_bytes)
if parts is None:
return text
head, tail, dropped_lines, dropped_bytes = parts
return _join(head, tail, _TRUNCATION_NOTICE.format(lines=dropped_lines, bytes=dropped_bytes))
async def bound_and_store(text: str, *, max_lines: int, max_bytes: int) -> str:
"""Like :func:`bound_text`, but spill the full output into the sandbox and
point the agent at its path. Degrades to a plain preview if the spill fails.
"""
parts = _head_tail(
text,
max_lines,
max_bytes,
notice_templates=(_WORKSPACE_SPILL_NOTICE, _TRUNCATION_NOTICE),
)
if parts is None:
return text
head, tail, dropped_lines, dropped_bytes = parts
writer = _spill.get("writer")
if writer is not None:
path = await writer(uuid.uuid4().hex, text)
if path is not None:
notice = _WORKSPACE_SPILL_NOTICE.format(
lines=dropped_lines, bytes=dropped_bytes, path=path
)
return _join(head, tail, notice)
return _join(head, tail, _TRUNCATION_NOTICE.format(lines=dropped_lines, bytes=dropped_bytes))
+21 -309
View File
@@ -1,13 +1,7 @@
"""Reporting tools — file vuln findings (with dedup + CVSS) and read them back.
``create_vulnerability_report`` / ``create_dependency_report`` file findings;
``list_reports`` / ``get_report`` let any agent (notably the root orchestrator)
review what's been filed so far across the whole scan.
"""
"""``create_vulnerability_report`` — file a vuln finding with dedup + CVSS."""
from __future__ import annotations
import asyncio
import json
import logging
import re
@@ -324,21 +318,6 @@ async def _do_create( # noqa: PLR0912
}
def _caller_identity(ctx: RunContextWrapper) -> tuple[str | None, str | None]:
"""Return the (agent_id, agent_name) of the agent invoking this tool."""
inner = ctx.context if isinstance(ctx.context, dict) else {}
raw_agent_id = inner.get("agent_id")
agent_id = raw_agent_id if isinstance(raw_agent_id, str) else None
agent_name: str | None = None
coordinator = inner.get("coordinator")
if agent_id is not None and coordinator is not None:
names = getattr(coordinator, "names", {})
if isinstance(names, dict):
raw_agent_name = names.get(agent_id)
agent_name = raw_agent_name if isinstance(raw_agent_name, str) else None
return agent_id, agent_name
@function_tool(timeout=180, strict_mode=False)
async def create_vulnerability_report(
ctx: RunContextWrapper,
@@ -625,7 +604,16 @@ async def create_vulnerability_report(
template engine's auto-escaping over string interpolation.
fix_effort: "low"
"""
agent_id, agent_name = _caller_identity(ctx)
inner = ctx.context if isinstance(ctx.context, dict) else {}
raw_agent_id = inner.get("agent_id")
agent_id = raw_agent_id if isinstance(raw_agent_id, str) else None
agent_name = None
coordinator = inner.get("coordinator")
if agent_id is not None and coordinator is not None:
names = getattr(coordinator, "names", {})
if isinstance(names, dict):
raw_agent_name = names.get(agent_id)
agent_name = raw_agent_name if isinstance(raw_agent_name, str) else None
result = await _do_create(
title=title,
@@ -930,7 +918,16 @@ async def create_dependency_report(
fix_effort: One of ``trivial`` / ``low`` / ``medium`` / ``high``
(dependency upgrades are usually ``trivial``/``low``).
"""
agent_id, agent_name = _caller_identity(ctx)
inner = ctx.context if isinstance(ctx.context, dict) else {}
raw_agent_id = inner.get("agent_id")
agent_id = raw_agent_id if isinstance(raw_agent_id, str) else None
agent_name = None
coordinator = inner.get("coordinator")
if agent_id is not None and coordinator is not None:
names = getattr(coordinator, "names", {})
if isinstance(names, dict):
raw_agent_name = names.get(agent_id)
agent_name = raw_agent_name if isinstance(raw_agent_name, str) else None
result = await _do_create_dependency(
title=title,
@@ -952,288 +949,3 @@ async def create_dependency_report(
agent_name=agent_name,
)
return json.dumps(result, ensure_ascii=False, default=str)
_SEVERITY_ORDER = {
"critical": 0,
"high": 1,
"medium": 2,
"low": 3,
"info": 4,
"none": 5,
}
_VALID_SEVERITIES = frozenset(_SEVERITY_ORDER)
_VALID_FINDING_CLASSES = frozenset({"dynamic", "dependency_cve"})
_REPORT_DESCRIPTION_PREVIEW_CHARS = 280
# Compact, listing-safe fields — no full bodies / PoC code / evidence.
_REPORT_SUMMARY_FIELDS = (
"id",
"title",
"severity",
"cvss",
"finding_class",
"cve",
"cwe",
"target",
"endpoint",
"method",
"fix_effort",
"agent_name",
"timestamp",
)
def _report_severity_rank(report: dict[str, Any]) -> int:
return _SEVERITY_ORDER.get(str(report.get("severity", "")).lower(), 99)
def _report_matches_filters(
report: dict[str, Any],
*,
severity: str | None,
finding_class: str | None,
target: str | None,
search: str | None,
) -> bool:
if severity and str(report.get("severity", "")).lower() != severity:
return False
if finding_class and str(report.get("finding_class", "dynamic")).lower() != finding_class:
return False
if target:
target_lower = target.lower()
haystack = f"{report.get('target', '')} {report.get('endpoint', '')}".lower()
if target_lower not in haystack:
return False
if search:
search_lower = search.lower()
title_match = search_lower in str(report.get("title", "")).lower()
desc_match = search_lower in str(report.get("description", "")).lower()
if not (title_match or desc_match):
return False
return True
def _mark_authorship(
entry: dict[str, Any], report: dict[str, Any], caller_agent_id: str | None
) -> dict[str, Any]:
"""Flag whether ``report`` was filed by the agent making this call."""
if caller_agent_id is not None and report.get("agent_id") == caller_agent_id:
entry["by_you"] = True
return entry
def _to_report_summary_entry(
report: dict[str, Any], caller_agent_id: str | None = None
) -> dict[str, Any]:
entry = {
field: report[field] for field in _REPORT_SUMMARY_FIELDS if report.get(field) is not None
}
description = str(report.get("description", "")).strip()
if description:
if len(description) > _REPORT_DESCRIPTION_PREVIEW_CHARS:
entry["description_preview"] = (
f"{description[:_REPORT_DESCRIPTION_PREVIEW_CHARS].rstrip()}..."
)
else:
entry["description_preview"] = description
return _mark_authorship(entry, report, caller_agent_id)
def _severity_counts(reports: list[dict[str, Any]]) -> dict[str, int]:
counts: dict[str, int] = {}
for report in reports:
sev = str(report.get("severity", "")).lower() or "none"
counts[sev] = counts.get(sev, 0) + 1
return {sev: counts[sev] for sev in _SEVERITY_ORDER if sev in counts}
async def _run_report_reader(fn: Any, *args: Any, **kwargs: Any) -> dict[str, Any]:
try:
return await asyncio.to_thread(fn, *args, **kwargs)
except (ImportError, AttributeError) as e:
logger.exception("report reader failed")
return {"success": False, "error": f"Failed to read reports: {e!s}"}
def _do_list_reports(
*,
severity: str | None,
finding_class: str | None,
target: str | None,
search: str | None,
include_details: bool,
caller_agent_id: str | None = None,
) -> dict[str, Any]:
errors: list[str] = []
severity = (severity or "").strip().lower() or None
if severity and severity not in _VALID_SEVERITIES:
errors.append(
f"Invalid severity: {severity!r}. Must be one of: {sorted(_VALID_SEVERITIES)}"
)
finding_class = (finding_class or "").strip().lower() or None
if finding_class and finding_class not in _VALID_FINDING_CLASSES:
errors.append(
f"Invalid finding_class: {finding_class!r}. "
f"Must be one of: {sorted(_VALID_FINDING_CLASSES)}"
)
if errors:
return {"success": False, "error": "Validation failed", "errors": errors}
from strix.report.state import get_global_report_state
report_state = get_global_report_state()
if report_state is None:
return {
"success": True,
"reports": [],
"filtered_count": 0,
"total_count": 0,
"severity_counts": {},
"warning": "Report state unavailable - no reports have been filed yet",
}
all_reports = report_state.get_existing_vulnerabilities()
matched = [
r
for r in all_reports
if _report_matches_filters(
r,
severity=severity,
finding_class=finding_class,
target=(target or "").strip() or None,
search=(search or "").strip() or None,
)
]
matched.sort(key=lambda r: (_report_severity_rank(r), str(r.get("id", ""))))
reports = [
_mark_authorship(dict(r), r, caller_agent_id)
if include_details
else _to_report_summary_entry(r, caller_agent_id)
for r in matched
]
return {
"success": True,
"reports": reports,
"filtered_count": len(reports),
"total_count": len(all_reports),
"severity_counts": _severity_counts(all_reports),
}
def _do_get_report(report_id: str, caller_agent_id: str | None = None) -> dict[str, Any]:
report_id = (report_id or "").strip()
if not report_id:
return {"success": False, "error": "report_id cannot be empty", "report": None}
from strix.report.state import get_global_report_state
report_state = get_global_report_state()
if report_state is None:
return {
"success": False,
"error": "Report state unavailable - no reports have been filed yet",
"report": None,
}
for report in report_state.get_existing_vulnerabilities():
if report.get("id") == report_id:
return {
"success": True,
"report": _mark_authorship(dict(report), report, caller_agent_id),
}
return {
"success": False,
"error": f"Report with id '{report_id}' not found",
"report": None,
}
@function_tool(timeout=30)
async def list_reports(
ctx: RunContextWrapper,
severity: str | None = None,
finding_class: str | None = None,
target: str | None = None,
search: str | None = None,
include_details: bool = False,
) -> str:
"""List vulnerability reports filed so far in this scan — metadata-first.
**For the orchestrator / root agent.** This is an orchestration tool
for tracking scan-wide coverage and assembling the final report leaf
/ specialist agents do their own testing and file findings; they should
NOT call this. If you are a subagent, ignore it and focus on your task.
Reports are shared across **every** agent in the scan, so this returns
findings filed by any agent (root or child), not just your own. As the
root agent, use it to track progress, avoid dispatching work on
already-covered ground, reason about attack-chaining across confirmed
findings, and build the ``finish_scan`` executive summary.
By default each entry is compact: ``id``, ``title``, ``severity``,
``cvss``, ``finding_class``, ``cve`` / ``cwe``, ``target`` /
``endpoint``, ``fix_effort``, ``agent_name`` (who filed it), ``timestamp``,
plus a 280-char ``description_preview``. Entries you filed yourself are
flagged ``by_you: true``. The response also carries
``total_count`` and ``severity_counts`` (counts per severity across all
reports, ignoring filters). Set ``include_details=True`` for full report
bodies (PoC, evidence, remediation, code_locations) token-expensive;
prefer ``get_report`` to drill into a single finding.
Filters compose (all must match): ``severity`` and ``finding_class``
match exactly, ``target`` is a substring match against target/endpoint,
and ``search`` is a substring match against title/description. Results
are ordered by severity (critical -> info), then report id.
This is read-only it never files or dedupes anything.
Args:
severity: Filter to one of ``critical`` / ``high`` / ``medium`` /
``low`` / ``info`` / ``none``.
finding_class: Filter to ``dynamic`` (PoC-backed) or
``dependency_cve`` (known-CVE supply-chain).
target: Substring match against a report's target / endpoint.
search: Substring match against title and description.
include_details: When False (default) entries are compact; when
True full report bodies are returned.
"""
caller_agent_id, _ = _caller_identity(ctx)
return json.dumps(
await _run_report_reader(
_do_list_reports,
severity=severity,
finding_class=finding_class,
target=target,
search=search,
include_details=include_details,
caller_agent_id=caller_agent_id,
),
ensure_ascii=False,
default=str,
)
@function_tool(timeout=30)
async def get_report(ctx: RunContextWrapper, report_id: str) -> str:
"""Fetch one vulnerability report by its id (e.g. ``vuln-0001``).
Returns the full report body description, impact, technical analysis,
PoC, evidence, remediation, CVSS breakdown, and any ``code_locations``.
Use ``list_reports`` first to find ids; this is the cheap way to read a
single finding in full without pulling every body.
Read-only.
Args:
report_id: Report id from ``list_reports`` or a
``create_vulnerability_report`` / ``create_dependency_report``
response (format ``vuln-NNNN``).
"""
caller_agent_id, _ = _caller_identity(ctx)
return json.dumps(
await _run_report_reader(_do_get_report, report_id, caller_agent_id),
ensure_ascii=False,
default=str,
)
@@ -6,7 +6,7 @@ directly from the run's on-disk files. No cloud dependency, no file picker.
from __future__ import annotations
from strix.interface.viewer.server import serve
from strix.viewer.server import serve
__all__ = ["serve"]
@@ -15,12 +15,12 @@ import base64
import contextlib
import json
import logging
import urllib.error
import urllib.request
from datetime import UTC, datetime
from pathlib import Path
from typing import Any
import requests
from strix.config.loader import load_settings
@@ -147,17 +147,21 @@ def _post_json(path: str, payload: dict[str, Any], *, timeout: int) -> tuple[int
map, not raised.
"""
url = f"{_app_url()}{path}"
body = json.dumps(payload).encode("utf-8")
request = urllib.request.Request( # noqa: S310 - fixed https relay URL
url,
data=body,
headers={"Content-Type": "application/json", "Accept": "application/json"},
method="POST",
)
try:
response = requests.post(
url,
json=payload,
headers={"Accept": "application/json"},
timeout=timeout,
)
except requests.RequestException as exc:
with urllib.request.urlopen(request, timeout=timeout) as response: # noqa: S310
return response.status, _parse_body(response.read())
except urllib.error.HTTPError as exc:
return exc.code, _parse_body(exc.read())
except (urllib.error.URLError, TimeoutError, OSError) as exc:
logger.warning("relay request to %s failed: %s", path, exc)
raise RelayError("unavailable") from exc
return response.status_code, _parse_body(response.content)
def _parse_body(raw: bytes) -> dict[str, Any]:
@@ -16,8 +16,8 @@ from strix.core.paths import (
run_record_path,
runs_base_dir,
)
from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
from strix.interface.viewer.transcript import read_run_summary
from strix.viewer.server import authorized_url, bundle_is_built, serve
from strix.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/interface/viewer/frontend && npm ci && npm run build[/]"
"Build it with: [cyan]cd strix/viewer/frontend && npm ci && npm run build[/]"
)
raise SystemExit(1)
@@ -63,6 +63,7 @@
"integrity": "sha512-RgHBCvtjbOK2gXSNBNIkNoEc9qoVEtau3hj8gEqKQuL3HZAibKarWFEI3Lfm6EYKkLalOh8eSrj9b+ch9H/VBA==",
"dev": true,
"license": "MIT",
"peer": true,
"dependencies": {
"@babel/code-frame": "^7.29.7",
"@babel/generator": "^7.29.7",
@@ -1604,6 +1605,7 @@
"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"
}
@@ -1614,6 +1616,7 @@
"integrity": "sha512-jp2L/eY6fn+KgVVQAOqYItbF0VY/YApe5Mz2F0aykSO8gx31bYCZyvSeYxCHKvzHG5eZjc+zyaS5BrBWya2+kQ==",
"devOptional": true,
"license": "MIT",
"peer": true,
"peerDependencies": {
"@types/react": "^19.2.0"
}
@@ -1736,6 +1739,7 @@
}
],
"license": "MIT",
"peer": true,
"dependencies": {
"baseline-browser-mapping": "^2.10.42",
"caniuse-lite": "^1.0.30001803",
@@ -1916,6 +1920,7 @@
"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"
}
@@ -3566,6 +3571,7 @@
"integrity": "sha512-RvwwcruNjI1ncT5xRakeyS9Lf8lcItv34KD+aif+VH9kduAyfYBipGh12274xtenIPZ119/R9BdTBa8gAwSh0A==",
"dev": true,
"license": "MIT",
"peer": true,
"engines": {
"node": ">=12"
},
@@ -3617,6 +3623,7 @@
"resolved": "https://registry.npmjs.org/react/-/react-19.2.7.tgz",
"integrity": "sha512-HNe9WslTbXmFK8o8cmwgAeJFSBvt1bPdHCVKtaaV+WlAN36mpT4hcRpwbf3fY56ar2oIXzsBpOAiIRHAdY0OlQ==",
"license": "MIT",
"peer": true,
"engines": {
"node": ">=0.10.0"
}
@@ -3626,6 +3633,7 @@
"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"
},
@@ -4101,6 +4109,7 @@
"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

@@ -100,7 +100,6 @@ 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>
@@ -176,15 +175,6 @@ 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 && (
@@ -200,14 +190,7 @@ export function RunDetails({
</Field>
)}
{totalTokens != null && <Field label="Total tokens">{formatNumber(totalTokens)}</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>
)}
{cost != null && <Field label="Cost">${cost.toFixed(2)}</Field>}
{agents.length > 0 && <Field label="Agents">{formatNumber(agents.length)}</Field>}
</dl>
) : (
@@ -49,9 +49,6 @@ 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>}
</>
@@ -77,9 +74,6 @@ 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>
))}
@@ -3,7 +3,6 @@
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> = {
@@ -20,7 +19,7 @@ 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 { language: pocLang, code: pocCode } = parseFencedCode((args.poc_script_code as string) ?? "");
const pocCode = (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) ?? "";
@@ -60,7 +59,7 @@ 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 className={pocLang ? `language-${pocLang}` : undefined}>{pocCode}</MdCodeBlock>}
{pocCode && <MdCodeBlock>{pocCode}</MdCodeBlock>}
</div>
)}
{remediation && (
@@ -12,7 +12,6 @@ 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";
@@ -102,7 +101,7 @@ 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", "list_reports", "get_report"],
reporting: ["create_vulnerability_report"],
thinking: ["think"],
agents: ["create_agent", "agent_finish", "send_message_to_agent", "wait_for_message", "view_agent_graph", "stop_agent"],
search: ["web_search"],
@@ -129,8 +128,6 @@ const RENDERER_OVERRIDES: Partial<Record<string, ComponentType<ToolRendererProps
finish_scan: FinishRenderer,
apply_patch: ApplyPatchRenderer,
view_image: ViewImageRenderer,
list_reports: ReportListRenderer,
get_report: ReportListRenderer,
};
/**

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