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Author SHA1 Message Date
Ian 98707a785a fix(proxy): log all Caido SDK errors as warnings 2026-10-12 15:00:00 -04:00
Ian b58d3ac3c6 fix(proxy): log Caido timeouts as warnings 2026-10-12 14:51:10 -04:00
64 changed files with 306 additions and 2866 deletions

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-2
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@@ -31,8 +31,6 @@ jobs:
assert not any(name.startswith("strix/interface/tui/cmd/") for name in names)
PY
- name: Install into a clean environment and run the CLI
env:
UV_EXCLUDE_NEWER: 5 days
run: |
uv venv --python 3.12 /tmp/strix-smoke
uv pip install --python /tmp/strix-smoke/bin/python dist/*.whl
+1 -1
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@@ -176,7 +176,7 @@ USER root
# overwrite a root-owned binary under /usr/local/bin, which otherwise fails with
# "cannot move binary" and aborts the scan. Pin the initial version for
# reproducible builds; self-update then pulls fresh detectors at runtime.
ARG TRUFFLEHOG_VERSION=3.99.2
ARG TRUFFLEHOG_VERSION=3.95.9
RUN curl -sSfL https://raw.githubusercontent.com/trufflesecurity/trufflehog/main/scripts/install.sh | sh -s -- -b /home/pentester/.local/bin "v${TRUFFLEHOG_VERSION}" && \
chown -R pentester:pentester /home/pentester/.local
RUN set -eux; \
-22
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@@ -33,18 +33,6 @@ Configure Strix using environment variables or a config file.
the LiteLLM and native OpenAI routing paths.
</ParamField>
<ParamField path="LLM_EXTRA_BODY" type="string">
Extra fields merged into the JSON body of every request to the main model, as a JSON object
(e.g. `{"service_tier":"flex","safety_identifier":"9f86d081..."}`). Use it
for provider parameters Strix doesn't expose, such as OpenAI's `service_tier`
or `safety_identifier`. Applies to both the LiteLLM and native OpenAI routing
paths. Fields are not validated, so the provider or gateway must accept them;
unknown fields are usually rejected. Extra fields can override fields Strix
sends and break requests, so don't set request-shaping fields such as `model`, `messages`, `input`,
`tools` or `stream`, and use `STRIX_REASONING_EFFORT` rather than
`reasoning_effort`.
</ParamField>
<ParamField path="LLM_TIMEOUT" default="300" type="integer">
Request timeout in seconds for LLM calls.
</ParamField>
@@ -100,12 +88,6 @@ affecting the agents that do the actual testing.
inherits `LLM_EXTRA_HEADERS`; set this when its endpoint needs custom headers.
</ParamField>
<ParamField path="DEDUPE_LLM_EXTRA_BODY" type="string">
Optional JSON object of extra request-body fields sent on every
deduplication-model request. A dedicated dedupe model never inherits
`LLM_EXTRA_BODY`; set this when its endpoint needs them too.
</ParamField>
<ParamField path="STRIX_DEDUPE_REASONING_EFFORT" type="string">
Reasoning effort for the deduplication model. Defaults to the model's own
baseline when unset.
@@ -141,10 +123,6 @@ affecting the agents that do the actual testing.
Telemetry toggle. Set to `0`, `false`, `no`, or `off` to disable telemetry (PostHog, Scarf, OTEL).
</ParamField>
<ParamField path="STRIX_RUN_RECORD_TIMINGS" default="false" type="boolean">
Record every LLM request's and tool call's timing in `run.json`, under `llm_requests` and `tool_calls`. Adds about 0.5 MB to a typical scan's `run.json`.
</ParamField>
<ParamField path="TRACELOOP_BASE_URL" type="string">
OTLP/Traceloop base URL for remote OpenTelemetry export. If unset, Strix keeps traces local only.
</ParamField>
-15
View File
@@ -68,21 +68,6 @@ export LLM_API_KEY="your-bearer-token" # sent as Authorization: Bearer
export LLM_EXTRA_HEADERS='{"X-Feature-Key":"value","X-Tenant":"acme"}'
```
### Extra request-body fields
Some provider parameters go in the request body rather than a header, and
Strix has no dedicated setting for them. Set them with `LLM_EXTRA_BODY` as a
JSON object — they are merged into the body of every request to the model. For example, to
use OpenAI's cheaper flex processing and attribute requests to a user with a
safety identifier (a hash, never a raw email):
```bash
export LLM_EXTRA_BODY='{"service_tier":"flex","safety_identifier":"9f86d081884c7d65"}'
```
Fields aren't validated, so use only fields your provider accepts, and don't
set fields Strix already sends, such as `model`, `messages` or `stream`.
For endpoints behind a private CA, point Strix at your certificate bundle with
the standard `SSL_CERT_FILE=/path/to/ca-bundle.pem` — never disable TLS
verification against a real endpoint.
-6
View File
@@ -73,12 +73,6 @@ dev = [
[tool.pytest.ini_options]
asyncio_mode = "auto"
[tool.uv]
# Supply-chain cooldown: resolve only distributions that have been on the index for
# at least 5 days, so a poisoned release (litellm 1.107.0, 2026-10-21) is never
# picked up by `uv lock` / `uv add` before it can be caught and yanked.
exclude-newer = "5 days"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
+3 -83
View File
@@ -13,13 +13,11 @@ from agents.agent import ToolsToFinalOutputResult
from agents.sandbox import SandboxAgent
from agents.sandbox.capabilities import Filesystem, Shell
from agents.sandbox.errors import InvalidManifestPathError
from agents.sandbox.session.pty_types import PTY_YIELD_TIME_MS_MAX
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.config.tool_call_arguments import describe_malformed_arguments
from strix.tools.agents_graph.tools import (
agent_finish,
create_agent,
@@ -269,10 +267,6 @@ def _with_coerced_arguments(tool: FunctionTool) -> FunctionTool:
nullish = tool.name.startswith(_QUERY_TOOL_PREFIXES)
async def invoke(ctx: Any, raw_input: str) -> Any:
malformed = describe_malformed_arguments(tool.name, raw_input)
if malformed is not None:
logger.debug("Tool %s got malformed arguments; asking the model to re-issue", tool.name)
return malformed
return await invoke_tool(ctx, _coerce_arguments(raw_input, schema, nullish=nullish))
tool.on_invoke_tool = invoke
@@ -442,47 +436,8 @@ def _apply_shell_output_cap(parsed: dict[str, Any]) -> None:
)
_EXEC_YIELD_CAP_S = PTY_YIELD_TIME_MS_MAX // 1000
_EXEC_COMMAND_DESCRIPTION_NOTE = (
f"The wait for output is capped at {_EXEC_YIELD_CAP_S} s whatever yield_time_ms says. "
"A non-TTY command still running at the yield cannot be read later (write_stdin fails "
"on it and its output is lost): run anything longer in the background with its output "
"redirected to a file (`cmd > /tmp/out.log 2>&1 &`, then read the log), or start it with "
'tty=true and poll with write_stdin(session_id=<id>, chars="").'
)
_RUNNING_NON_TTY_NOTICE = (
"Note: this non-TTY process cannot be polled and its later output is lost. Rerun it in "
"the background (`cmd > /tmp/out.log 2>&1 &`, then read the log) or with tty=true."
)
_PROCESS_RUNNING_RE = re.compile(r"^Process running with session ID \d+$", re.MULTILINE)
_OUTPUT_HEADER_RE = re.compile(r"^Output:\n", re.MULTILINE)
def _annotate_running_non_tty(parsed: dict[str, Any], result: Any) -> Any:
if parsed.get("tty") or not isinstance(result, str):
return result
header = _OUTPUT_HEADER_RE.search(result)
head_end = len(result) if header is None else header.start()
if _PROCESS_RUNNING_RE.search(result, 0, head_end) is None:
return result
notice = _RUNNING_NON_TTY_NOTICE
requested = parsed.get("yield_time_ms")
if isinstance(requested, int | float) and requested > PTY_YIELD_TIME_MS_MAX:
notice = (
f"Note: yield_time_ms={int(requested)} was capped at {PTY_YIELD_TIME_MS_MAX} "
f"({_EXEC_YIELD_CAP_S} s). " + notice.removeprefix("Note: ")
)
if header is None:
return f"{result}\n{notice}"
return f"{result[: header.end()]}{notice}\n{result[header.end() :]}"
def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
invoke_tool = tool.on_invoke_tool
tool.description = f"{tool.description.rstrip()} {_EXEC_COMMAND_DESCRIPTION_NOTE}"
async def invoke(ctx: Any, raw_input: str) -> Any:
try:
@@ -495,7 +450,7 @@ def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
_apply_shell_output_cap(parsed)
raw_input = json.dumps(parsed)
try:
result = await invoke_tool(ctx, raw_input)
return await invoke_tool(ctx, raw_input)
except ValidationError as exc:
return _format_validation_error(tool.name, exc)
except InvalidManifestPathError as exc:
@@ -505,9 +460,6 @@ def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
"(or omitted to use the turn's cwd). "
f"Got: {rel!r}."
)
if isinstance(parsed, dict):
return _annotate_running_non_tty(parsed, result)
return result
tool.on_invoke_tool = invoke
return tool
@@ -619,17 +571,6 @@ def _finish_tool_use_behavior(
return ToolsToFinalOutputResult(is_final_output=False, final_output=None)
_COVERAGE_TOOLS: tuple[Tool, ...] = (record_coverage, update_coverage, list_coverage)
_FINISH_SCAN_COVERAGE_STEP = re.compile(
r"\n5\. \*\*Coverage reconciliation\.\*\*.*?(?=\n\n)", re.DOTALL
)
def _without_coverage_step(tool: FunctionTool) -> FunctionTool:
description = _FINISH_SCAN_COVERAGE_STEP.sub("", tool.description)
return dataclasses.replace(tool, description=description)
_BASE_TOOLS: tuple[Tool, ...] = (
think,
load_skill,
@@ -728,7 +669,6 @@ def build_strix_agent(
is_whitebox: bool = False,
is_diff_scoped: bool = False,
interactive: bool = False,
parallel_tool_calls: bool = False,
chat_completions_tools: bool = False,
strict_tool_schemas: bool = True,
system_prompt_context: dict[str, Any] | None = None,
@@ -736,8 +676,6 @@ def build_strix_agent(
instructions_override: str | None = None,
supports_images: bool = True,
finish_tool: Tool = finish_scan,
report_tool: Tool = create_vulnerability_report,
coverage_tools: bool = True,
) -> SandboxAgent[Any]:
"""Build a SandboxAgent for either root or child use.
@@ -751,10 +689,6 @@ def build_strix_agent(
instructions_override: Use this verbatim as the system prompt instead
of rendering the built-in scan prompt.
finish_tool: The tool that ends the run, given to the root agent.
report_tool: The tool every agent files findings with, in place of
``create_vulnerability_report``.
coverage_tools: Give the agent the coverage ledger tools and the
prompt rules for them.
"""
if instructions_override is not None:
instructions = instructions_override
@@ -766,26 +700,18 @@ def build_strix_agent(
is_root=is_root,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=parallel_tool_calls,
system_prompt_context=system_prompt_context,
supports_images=supports_images,
report_tool=report_tool.name,
coverage_tools=coverage_tools,
)
agent_tools = [*_EXTRA_TOOLS, *(extra_tools or [])]
if interactive:
# Yielding to the user is only meaningful when one is attached.
agent_tools.append(wait_for_user)
base_tools = [report_tool if t is create_vulnerability_report else t for t in _BASE_TOOLS]
if not coverage_tools:
base_tools = [t for t in base_tools if t not in _COVERAGE_TOOLS]
if finish_tool is finish_scan:
finish_tool = _without_coverage_step(finish_scan)
if is_root:
tools: list[Tool] = [*base_tools, *agent_tools, finish_tool]
tools: list[Tool] = [*_BASE_TOOLS, *agent_tools, finish_tool]
else:
tools = [*base_tools, *agent_tools, agent_finish]
tools = [*_BASE_TOOLS, *agent_tools, agent_finish]
_ensure_unique_tool_names(tools)
tools = [
_with_bounded_result(_with_strictness(_with_coerced_arguments(tool), strict_tool_schemas))
@@ -834,13 +760,10 @@ def make_child_factory(
is_whitebox: bool = False,
is_diff_scoped: bool = False,
interactive: bool = False,
parallel_tool_calls: bool = False,
chat_completions_tools: bool = False,
strict_tool_schemas: bool = True,
system_prompt_context: dict[str, Any] | None = None,
supports_images: bool = True,
report_tool: Tool = create_vulnerability_report,
coverage_tools: bool = True,
) -> Any:
"""Return the runner-owned builder used by ``spawn_child_agent``.
@@ -858,13 +781,10 @@ def make_child_factory(
is_whitebox=is_whitebox,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=parallel_tool_calls,
chat_completions_tools=chat_completions_tools,
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=system_prompt_context,
supports_images=supports_images,
report_tool=report_tool,
coverage_tools=coverage_tools,
)
return _factory
+1 -9
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@@ -83,12 +83,9 @@ def render_system_prompt(
is_root: bool = False,
is_diff_scoped: bool = False,
interactive: bool = False,
parallel_tool_calls: bool = False,
system_prompt_context: dict[str, Any] | None = None,
include_scope: bool = True,
supports_images: bool = True,
report_tool: str = "create_vulnerability_report",
coverage_tools: bool = True,
) -> str:
"""Render the system prompt. Returns empty string on template failure.
@@ -123,9 +120,7 @@ def render_system_prompt(
is_root=is_root,
is_diff_scoped=is_diff_scoped,
)
skill_content = load_skills(
skills_to_load, supports_images=supports_images, coverage_tools=coverage_tools
)
skill_content = load_skills(skills_to_load, supports_images=supports_images)
env.globals["get_skill"] = lambda name: skill_content.get(name, "")
# Skills every agent of this kind loads come first, so siblings share them
@@ -135,12 +130,9 @@ def render_system_prompt(
requested_skill_names=[name for name in skill_content if name not in shared],
available_skills=get_available_skills(),
interactive=interactive,
parallel_tool_calls=parallel_tool_calls,
is_root=is_root,
system_prompt_context=system_prompt_context or {},
include_scope=include_scope,
report_tool=report_tool,
coverage_tools=coverage_tools,
**skill_content,
)
except Exception:
+7 -18
View File
@@ -44,11 +44,7 @@ INTERACTIVE BEHAVIOR:
- If you end a turn on plain text and the nudge arrives, your words already reached the user. Do not repeat them: call wait_for_user.
- You can narrate while you work — plain text is shown to the user as you go. Narrating is free; wait_for_user is specifically the act of WAITING for the user, so do not call it just to give a status update.
- Respond naturally when the user asks questions or gives instructions.
{%- if parallel_tool_calls %}
- While actively working on a task, every turn should carry a tool call (independent calls can go in the same turn) — use think to plan, the appropriate tool to act, and wait_for_user only when you genuinely need the user.
{%- else %}
- While actively working on a task, every turn should carry exactly one tool call — use think to plan, the appropriate tool to act, and wait_for_user only when you genuinely need the user.
{%- endif %}
- Never loop through think or other tools just to prepare, polish, confirm, or announce an answer. Once you know the answer, write it and call wait_for_user.
{% else %}
AUTONOMOUS BEHAVIOR:
@@ -59,9 +55,6 @@ AUTONOMOUS BEHAVIOR:
- There is no user attached to this run, so there is nobody to ask and nothing to yield to. If there is nothing left to execute: do NOT send filler/repetitive text — either call wait_for_agents (only if you are genuinely expecting another agent to message you) or finish your work (subagents: agent_finish; root: finish_scan)
- While the agent loop is running, almost every output MUST be a tool call. Do NOT send plain text messages; act via tools. If waiting on another agent, use wait_for_agents; when done, use agent_finish (subagents) or finish_scan (root)
- A text-only turn does nothing: it neither ends the run nor yields — it just wastes a turn and forces a retry. The lifecycle tools (``finish_scan`` for root, ``agent_finish`` for subagents) are the ONLY way to terminate, and the report flows through them. If you find yourself wanting to say "Done!" or "Scan complete" without a tool call, call the lifecycle tool instead.
{%- if parallel_tool_calls %}
- Read-only calls can go together in one turn: when several file reads or searches don't depend on each other's output, issue them as separate tool calls in the same turn rather than one per turn. Anything else — writing files, running commands that change state, sending requests, creating or messaging agents, reporting, or finishing — goes alone in its own turn.
{%- endif %}
{% endif %}
</communication_rules>
@@ -126,7 +119,7 @@ WHITE-BOX TESTING (code provided):
- Local execution, unit/integration testing, patch verification, and HTTP requests against locally started in-scope services are normal authorized white-box validation
- If dynamically running the code proves impossible after exhaustive attempts, pivot to comprehensive static analysis.
- Try to infer how to run the code based on its structure and content.
- Derive the code fix as PART OF reporting, not as a separate later pass: {{ report_tool }} already requires the concrete patch inline (`code_locations` with verbatim `fix_before`/`fix_after` and `fix_pr_body`), so the reporting agent that analyzes the root cause is the one that produces the fix. Do NOT spawn a downstream agent afterwards to re-derive/re-apply the same patch.
- Derive the code fix as PART OF reporting, not as a separate later pass: create_vulnerability_report already requires the concrete patch inline (`code_locations` with verbatim `fix_before`/`fix_after` and `fix_pr_body`), so the reporting agent that analyzes the root cause is the one that produces the fix. Do NOT spawn a downstream agent afterwards to re-derive/re-apply the same patch.
- If you also apply and verify the patch in the repo (edit the file, re-test that the vulnerability is gone), do it in the same agent/turn while the analysis is fresh — right before or as part of filing the report — never as a second re-analysis pass.
COMBINED MODE (code + deployed target present):
@@ -209,14 +202,12 @@ VALIDATION REQUIREMENTS:
- Keep going until you find something that matters
- CLOSURE DISCIPLINE: every candidate you open ends in exactly one explicit state — `confirmed` (working PoC, or a complete source→control→sink→impact trace that is reachable), `ruled_out` (you can name the SPECIFIC control, at a location, that runs on every attacker-reachable path before the sink), or `open_proof_gap` (plausible, unconfirmed, and you could NOT name such a control). "I moved on" is not a closure state. Silently dropping an uncertain candidate is mislabelling an `open_proof_gap` as `ruled_out` and is how real bugs get missed.
- Missing information is NOT proof of safety: no caller found, can't tell if deployed/exposed, couldn't stand up the service, build failed — each is an `open_proof_gap`, never a reason to mark a candidate clean. Difficulty is a reason to defer, not to suppress.
{% if coverage_tools -%}
- COVERAGE: record every surface you assess with `record_coverage` (surface + risk area + outcome + evidence), including the ones that came back clean — a report that only lists findings cannot say what was reviewed and cleared. Use the `needs_follow_up` outcome for anything left in an `open_proof_gap` state, and carry the same items up in `agent_finish(open_items=[...])`. The ledger is shared and mutable: when you resolve a surface another agent left open — or find that a closed one is not — move that entry with `update_coverage` instead of recording a second one for the same surface. Before `finish_scan`, the root agent calls `list_coverage(outcome="needs_follow_up")` and follows up every row it returns: it assigns the outstanding work to a subagent that moves the existing entry with `update_coverage` to its real outcome, and a row stays `needs_follow_up` only when it is genuinely blocked, with the blocker stated in its evidence.
{% endif -%}
- COVERAGE: record every surface you assess with `record_coverage` (surface + risk area + outcome + evidence), including the ones that came back clean — a report that only lists findings cannot say what was reviewed and cleared. Use the `needs_follow_up` outcome for anything left in an `open_proof_gap` state, and carry the same items up in `agent_finish(open_items=[...])`. The ledger is shared and mutable: when you resolve a surface another agent left open — or find that a closed one is not — move that entry with `update_coverage` instead of recording a second one for the same surface. The root agent reconciles all of it via `list_coverage` before `finish_scan`.
- THREAT MODEL: before you start testing, call `get_threat_model` on the target you were pointed at — it is the scan's shared answer to who the attacker is, where the trust boundaries sit, and what counts as critical here. It is scoped to this scan and nothing carries over from an earlier run, so `found: false` means no agent on this run has derived one yet. Read it instead of re-deriving trust boundaries yourself; where your testing disproves it — a boundary it calls trusted turns out to be attacker-reachable, a role it did not know about, a host or endpoint it never listed — record that with `amend_threat_model` so the agents after you inherit the correction. Amending is not optional politeness: a model nobody corrects turns the first agent's guesses into everyone's assumptions.
- Before filing any report, run the counterevidence pass: argue the strongest case AGAINST the finding, record what you found in the `counterevidence` field, set `confidence` honestly (a static-only trace you couldn't execute is at best `medium`), and state what evidence would change the severity. See the counterevidence and severity-calibration knowledge above.
- A vulnerability is ONLY considered reported when a reporting agent uses {{ report_tool }} (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 {{ report_tool }} (`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 {{ report_tool }} tool uses LLM-based deduplication. If it rejects your report as a duplicate, DO NOT attempt to re-submit the same vulnerability. Accept the rejection and move on to testing other areas. The vulnerability has already been reported by another agent. If your evidence proves more than the finding it matched (a working exploit where that one had only a static trace, a chain that raises the impact), revise that finding with update_vulnerability_report using the duplicate_of id — never re-file it.
- A vulnerability is ONLY considered reported when a reporting agent uses create_vulnerability_report (or create_dependency_report for known-CVE dependency/supply-chain findings) with full details. Mentions in agent_finish, finish_scan, or generic messages are NOT sufficient
- Reporting and fixing are ONE step, not two: when source is available, the reporting agent derives the concrete fix and files it INLINE via create_vulnerability_report (`code_locations` with `fix_before`/`fix_after` + `fix_pr_body`) — the report is not complete without it. Do NOT report first and then spawn a separate downstream agent to re-derive and re-apply the same patch; that just re-does the analysis and wastes tokens. (Do not silently patch a finding WITHOUT filing a report — the report, with its embedded fix, is the deliverable.)
- DEDUPLICATION: The create_vulnerability_report tool uses LLM-based deduplication. If it rejects your report as a duplicate, DO NOT attempt to re-submit the same vulnerability. Accept the rejection and move on to testing other areas. The vulnerability has already been reported by another agent. If your evidence proves more than the finding it matched (a working exploit where that one had only a static trace, a chain that raises the impact), revise that finding with update_vulnerability_report using the duplicate_of id — never re-file it.
- HTTP EVIDENCE: a finding you validated through the proxy is not fully filed until `http_exchange_ids` carries the proxy request ids of the exchanges that prove it — the request that triggers the vulnerability plus the baseline/control request it differs from (an unauthenticated success next to the authenticated one, the payload response next to the benign one). Copy the ids exactly as `list_requests`/`view_request` show them, never invent or guess one, and never omit the field to bypass validation. Leave it out only when there is no captured HTTP exchange at all (static-only code findings, dependency CVEs). If you filed before the proving exchanges existed, attach them afterwards with update_vulnerability_report. Without the ids, the finding ships as prose nobody can replay.
- REVISING A FINDING: use update_vulnerability_report (report id + the fields you want to replace + update_reason) when you learn something a finding already on file does not carry — you built the PoC after filing it, a chain raised its impact, further testing weakened it, or its counterevidence/remediation/code locations were wrong. Editing a finding needs no duplicate verdict, and it is always better than filing a second report for the same issue. Read the finding first with get_report, and pass only the fields that change.
- WITHDRAWING A FINDING: when re-testing proves a finding you filed is not a vulnerability at all — the exploit only worked because of your own test setup (a mixed-up session, a self-inflicted state change, a misread response), the behaviour is intended, or the control is in fact enforced — delete it with delete_vulnerability_report (report id + delete_reason). Never leave a disproved finding on file as a zero-CVSS, "retracted", or "false positive" report, and never rewrite its text into a note saying it was wrong: a report that exists is read as a finding. Delete is for a finding that does not exist; a finding that is real but weaker than filed is revised, not deleted.
@@ -229,16 +220,14 @@ Every one of these tools writes to state the rest of the scan reads. Reaching fo
- TODOS — `create_todo` / `list_todos` / `update_todo` / `mark_todo_done` / `mark_todo_pending` / `delete_todo`: your own working checklist for a multi-step task. Create todos when your task has several distinct steps so nothing is dropped across a long run; mark them done as you finish. This is private working memory — use `notes` for anything another agent needs.
- NOTES — `create_note` / `list_notes` / `get_note` / `update_note` / `delete_note`: the scan's shared scratchpad, visible to every agent. Write a note for a durable cross-agent fact that is not a finding and not coverage — a working credential set, a discovered endpoint inventory, an enumerated tenant list, a rate-limit quirk the next agent needs. `update_note` to keep a living inventory current; `delete_note` only for something now wrong or superseded. Check `list_notes`/`get_note` before recon work so you build on what is already mapped instead of redoing it.
- THREAT MODEL — `get_threat_model` / `amend_threat_model` / `save_threat_model`: covered above. `save_threat_model` REPLACES the whole document and clears amendments, so it is for establishing the baseline or folding amendments in (normally root) — to correct part of an existing model, `amend_threat_model` instead.
{% if coverage_tools -%}
- COVERAGE — `record_coverage` / `update_coverage` / `list_coverage`: covered above. One row per surface+risk; correct an existing row with `update_coverage`, never a second `record_coverage`.
{% endif -%}
- RESEARCH — `web_search`: pull fresh, target-specific external knowledge — latest bypasses, WAF evasions, DB-/framework-specific syntax, CVE and advisory detail — before falling back to memorized payloads, and refresh payload corpora mid-spray.
- SPAWN WORK — `create_agent`: delegate a focused subtask to a specialist child (see the multi-agent rules below for when to spawn and how to scope it). Give it the target to model against and what is already known.
- TRACK CHILDREN — `view_agent_graph`: your live map of every agent and its status. Call it before spawning (to confirm no existing agent already covers the scope) and before finishing (to confirm no child is still running).
- STEER CHILDREN — `send_message_to_agent`: send a running child new information, a course correction, or a request to wrap up, without killing it. Use it to answer a child's question or narrow its scope mid-run.
- BLOCK ON CHILDREN — `wait_for_agents`: block until named children report back when your next move genuinely depends on their results. If you can keep making progress in parallel, keep working instead of waiting.
- CANCEL CHILDREN — `stop_agent`: gracefully cancel a child whose work is redundant, misdirected, or no longer needed. Prefer `send_message_to_agent` to redirect a child that is merely off-track; reserve `stop_agent` for work that should not continue at all.
- FINISH — subagents call `agent_finish` (with `open_items=[...]` for anything left unresolved); the root agent calls `finish_scan` exactly once, only after every child is wrapped up and coverage is reconciled. `agent_finish`/`finish_scan` are handoffs, not reporting channels — a vulnerability is reported only via `{{ report_tool }}`/`create_dependency_report`.
- FINISH — subagents call `agent_finish` (with `open_items=[...]` for anything left unresolved); the root agent calls `finish_scan` exactly once, only after every child is wrapped up and coverage is reconciled. `agent_finish`/`finish_scan` are handoffs, not reporting channels — a vulnerability is reported only via `create_vulnerability_report`/`create_dependency_report`.
</execution_guidelines>
<vulnerability_focus>
@@ -391,7 +380,7 @@ CRITICAL RULES:
- **REALISTIC OUTCOMES** - Some tests find nothing, some validations fail
- **ONE AGENT = ONE TASK** - Don't let agents do multiple unrelated jobs
- **SPAWN REACTIVELY** - Create new agents based on what you discover
- **ONLY REPORTING AGENTS** can use {{ report_tool }} tool
- **ONLY REPORTING AGENTS** can use create_vulnerability_report tool
- **AGENT SPECIALIZATION MANDATORY** - Each agent must be highly specialized; prefer 1–3 skills, up to 5 for complex contexts
- **NO GENERIC AGENTS** - Avoid creating broad, multi-purpose agents that dilute focus
+2 -26
View File
@@ -6,8 +6,7 @@ import json
import logging
import os
from pathlib import Path
from types import UnionType
from typing import TYPE_CHECKING, Any, Union, get_args, get_origin
from typing import TYPE_CHECKING, Any
from pydantic import AliasChoices, BaseModel
@@ -127,36 +126,13 @@ def _read_json_overrides(path: Path) -> dict[str, dict[str, Any]]:
continue # env wins under some alias; skip the JSON file for this field
for alias in aliases:
if alias in env_block_upper:
sub_data[fname] = _decode_saved_value(finfo, env_block_upper[alias])
sub_data[fname] = env_block_upper[alias]
break
if sub_data:
nested[sub_name] = sub_data
return nested
def _decode_saved_value(finfo: FieldInfo, value: Any) -> Any:
"""Decode a JSON string saved for a dict field, as pydantic does for env vars.
``persist_current`` saves env values verbatim, so a dict setting such as
``LLM_EXTRA_HEADERS`` lands in the file as JSON text. Values that are
already objects, or aren't valid JSON, are left for validation to judge.
"""
if not isinstance(value, str) or not _is_dict_field(finfo):
return value
try:
return json.loads(value)
except ValueError:
return value
def _is_dict_field(finfo: FieldInfo) -> bool:
annotation = finfo.annotation
candidates = (
get_args(annotation) if get_origin(annotation) in (Union, UnionType) else (annotation,)
)
return any(c is dict or get_origin(c) is dict for c in candidates)
def _first_alias_value(aliases: list[str], source: Mapping[str, Any]) -> Any | None:
return next((source[alias] for alias in aliases if alias in source), None)
+2 -17
View File
@@ -41,7 +41,6 @@ from openai.types.shared import Reasoning
from strix.agents.prompt import CACHE_POINT
from strix.config import codex
from strix.config.loader import load_settings
from strix.config.tool_call_arguments import repair_input
from strix.config.tool_call_ids import TurnCallIdRewriter, dedupe_input
from strix.config.tool_call_limits import TurnToolCallLimiter
from strix.llm import request_log
@@ -256,12 +255,6 @@ class _TurnGuardModel(Model):
Ids that collide with the history are rewritten before the turn is
recorded, and already-corrupted histories are repaired on the way out.
Tool-call arguments: a turn whose ``arguments`` are not valid JSON fails
that one call with a parse error, but the raw string is recorded and
strict providers then reject every request that replays it. Such
arguments are rewritten to a valid JSON object on the way out (see
:mod:`strix.config.tool_call_arguments`).
Tool-call volume: a degenerate response can queue hundreds of calls that
the run loop then honours one by one. Only the first
``LLM_MAX_TOOL_CALLS_PER_TURN`` calls of a response are kept.
@@ -320,7 +313,7 @@ class _TurnGuardModel(Model):
conversation_id: str | None,
prompt: ResponsePromptParam | None,
) -> ModelResponse:
sanitized = _sanitize_input(input)
sanitized = dedupe_input(input)
rewriter = TurnCallIdRewriter(sanitized)
system_instructions, sanitized = _split_cached_prefix(
system_instructions, sanitized, model_settings
@@ -356,7 +349,7 @@ class _TurnGuardModel(Model):
conversation_id: str | None,
prompt: ResponsePromptParam | None,
) -> AsyncIterator[TResponseStreamEvent]:
sanitized = _sanitize_input(input)
sanitized = dedupe_input(input)
rewriter = TurnCallIdRewriter(sanitized)
system_instructions, sanitized = _split_cached_prefix(
system_instructions, sanitized, model_settings
@@ -386,10 +379,6 @@ class _TurnGuardModel(Model):
self._log_dropped(limiter)
def _sanitize_input(model_input: str | list[TResponseInputItem]) -> str | list[Any]:
return repair_input(dedupe_input(model_input))
def _split_cached_prefix(
system_instructions: str | None,
model_input: str | list[Any],
@@ -705,11 +694,7 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
"""Apply Strix config to SDK-native defaults."""
llm = settings.llm
set_tracing_disabled(True)
from strix.report.state import record_llm_request
request_log.install()
if settings.telemetry.run_record_timings:
request_log.register_sink(record_llm_request)
if codex.subscription_model(llm.model):
return
_configure_litellm_compatibility()
+1 -16
View File
@@ -2,7 +2,7 @@
from __future__ import annotations
from typing import Any, Literal
from typing import Literal
from pydantic import AliasChoices, Field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
@@ -55,20 +55,11 @@ class LlmSettings(BaseSettings):
alias="LLM_EXTRA_HEADERS",
repr=False,
)
extra_body: dict[str, Any] | None = Field(
default=None,
alias="LLM_EXTRA_BODY",
repr=False,
)
reasoning_effort: ReasoningEffort = Field(default="high", alias="STRIX_REASONING_EFFORT")
force_required_tool_choice: bool = Field(
default=False,
alias="STRIX_FORCE_REQUIRED_TOOL_CHOICE",
)
parallel_tool_calls: bool = Field(
default=False,
alias="STRIX_PARALLEL_TOOL_CALLS",
)
prompt_cache: bool = Field(
default=True,
alias="STRIX_PROMPT_CACHE",
@@ -119,11 +110,6 @@ class DedupeSettings(BaseSettings):
alias="DEDUPE_LLM_EXTRA_HEADERS",
repr=False,
)
extra_body: dict[str, Any] | None = Field(
default=None,
alias="DEDUPE_LLM_EXTRA_BODY",
repr=False,
)
@field_validator("reasoning_effort", mode="before")
@classmethod
@@ -167,7 +153,6 @@ class TelemetrySettings(BaseSettings):
model_config = _BASE_CONFIG
enabled: bool = Field(default=True, alias="STRIX_TELEMETRY")
run_record_timings: bool = Field(default=False, alias="STRIX_RUN_RECORD_TIMINGS")
WebSearchProvider = Literal["auto", "perplexity", "exa"]
-100
View File
@@ -1,100 +0,0 @@
"""Keep replayed tool-call arguments valid JSON.
A model occasionally emits a tool call whose ``arguments`` string is not a
JSON object (truncated, unbalanced, empty). The call itself fails safely: the
tool reports the parse error and the run continues. But the raw string is
recorded in the session as-is, and strict OpenAI-compatible servers (vLLM,
SGLang, ...) validate every assistant tool call in the request, so from then
on each turn is rejected with ``Assistant tool call function.arguments must
be valid JSON`` and the agent can never recover. Rewriting the replayed
arguments to a JSON object that carries the original text keeps the history
valid while the model still sees what it sent.
"""
from __future__ import annotations
import json
from typing import Any
from openai.types.responses import ResponseFunctionToolCall
MALFORMED_ARGUMENTS_KEY = "malformed_arguments"
def _reject_constant(name: str) -> Any:
raise ValueError(f"non-standard JSON constant {name}")
def _loads_strict(text: str) -> Any:
try:
return json.loads(text, parse_constant=_reject_constant)
except RecursionError as exc:
raise ValueError("arguments are nested too deeply to parse") from exc
def describe_malformed_arguments(tool_name: str, arguments: str) -> str | None:
"""Return a model-facing recovery message if ``arguments`` is not a JSON object.
A tool call whose arguments do not parse is almost always one the stream cut
off (the server flushed a prefix of the JSON, or the client closed early),
so instead of the SDK's generic parse-error result the model is told the
call never ran and must be re-issued whole.
"""
if not arguments.strip():
return None
try:
parsed = _loads_strict(arguments)
except ValueError as exc:
detail = str(exc)
else:
if isinstance(parsed, dict):
return None
detail = f"expected a JSON object, got {type(parsed).__name__}"
return (
f"{tool_name}: the tool call was not executed because its arguments were "
f"truncated or otherwise not valid JSON ({detail}). The response was likely "
"cut off mid-call. Re-issue the call with complete, valid JSON arguments."
)
def repair_arguments(arguments: object) -> str | None:
"""Return replacement arguments a strict server accepts, or ``None`` if already valid."""
if not isinstance(arguments, str) or not arguments.strip():
return "{}"
try:
parsed = _loads_strict(arguments)
except ValueError:
parsed = None
if isinstance(parsed, dict):
return None
return json.dumps({MALFORMED_ARGUMENTS_KEY: arguments}, ensure_ascii=False)
def repair_history_arguments(items: list[Any]) -> tuple[list[Any], bool]:
"""Rewrite function calls in a conversation history whose arguments are not a JSON object."""
rebuilt: list[Any] = []
changed = False
for item in items:
if isinstance(item, dict):
if item.get("type") == "function_call":
repaired = repair_arguments(item.get("arguments"))
if repaired is not None:
item = {**item, "arguments": repaired} # noqa: PLW2901
changed = True
elif isinstance(item, ResponseFunctionToolCall):
repaired = repair_arguments(item.arguments)
if repaired is not None:
item = item.model_copy(update={"arguments": repaired}) # noqa: PLW2901
changed = True
rebuilt.append(item)
return rebuilt, changed
def repair_input(model_input: str | list[Any]) -> str | list[Any]:
if isinstance(model_input, str):
return model_input
rebuilt, changed = repair_history_arguments(model_input)
return rebuilt if changed else model_input
+3 -19
View File
@@ -75,7 +75,6 @@ class AgentCoordinator:
self._budget_stopped = False
self._reserve_stopped = False
self._budget_paused = False
self._operator_paused = False
self._resume_epoch = 0
self._budget_policy: BudgetPolicy = "stop"
self._extend_budget: Callable[[], None] | None = None
@@ -106,10 +105,6 @@ class AgentCoordinator:
def budget_paused(self) -> bool:
return self._budget_paused
@property
def operator_paused(self) -> bool:
return self._operator_paused
@property
def resume_epoch(self) -> int:
"""Bumped by every ``resume_budget``; an agent parks against the value it read."""
@@ -155,7 +150,6 @@ class AgentCoordinator:
"""
async with self._lock:
self._budget_paused = True
self._operator_paused = True
logger.info("scan paused by the operator")
await self._maybe_snapshot()
@@ -171,7 +165,6 @@ class AgentCoordinator:
self._set_budget_limit(max_budget_usd)
async with self._lock:
self._budget_paused = False
self._operator_paused = False
self._resume_epoch += 1
woken = [aid for aid, status in self.statuses.items() if status == "budget_paused"]
for aid in woken:
@@ -239,7 +232,7 @@ class AgentCoordinator:
self._budget_stopped = budget_stopped
self._reserve_stopped = reserve_stopped
if not budget_paused:
self._budget_paused = self._operator_paused
self._budget_paused = False
for aid, status in self.statuses.items():
if status == "budget_paused":
self.statuses[aid] = "waiting"
@@ -431,12 +424,7 @@ class AgentCoordinator:
unknown, or it is terminal and its loop does not park for wake-ups.
"""
from_user = message.get("from") == "user"
if (
from_user
and self._budget_paused
and not self._operator_paused
and self._budget_policy != "pause"
):
if from_user and self._budget_paused and self._budget_policy != "pause":
await self.resume_from_budget_pause(exclude=target_agent_id)
async with self._lock:
if target_agent_id not in self.statuses:
@@ -459,9 +447,7 @@ class AgentCoordinator:
self.recovery_counts.pop(target_agent_id, None)
self.idle_resume_counts.pop(target_agent_id, None)
self._parent_notified.discard(target_agent_id)
held = self._operator_paused and self.statuses[target_agent_id] == "budget_paused"
if not held:
self.statuses[target_agent_id] = "waiting"
self.statuses[target_agent_id] = "waiting"
runtime.wake.set()
stream = runtime.stream
interrupt_on_message = runtime.interrupt_on_message
@@ -654,7 +640,6 @@ class AgentCoordinator:
"budget_stopped": self._budget_stopped,
"reserve_stopped": self._reserve_stopped,
"budget_paused": self._budget_paused,
"operator_paused": self._operator_paused,
}
async def restore(self, snap: dict[str, Any]) -> None:
@@ -677,7 +662,6 @@ class AgentCoordinator:
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))
self._operator_paused = bool(snap.get("operator_paused", False))
for aid in self.statuses:
self.runtimes.setdefault(aid, AgentRuntime())
+4 -14
View File
@@ -24,8 +24,6 @@ from openai import (
from strix.config import codex
from strix.core.hooks import (
SUBAGENT_TURN_LIMITS_KEY,
TURN_LIMIT_KEY,
BudgetExceededError,
BudgetPausedError,
SubagentBudgetReservedError,
@@ -41,7 +39,6 @@ from strix.core.sessions import (
)
from strix.llm import request_log
from strix.llm.compaction import is_context_overflow, maybe_compact
from strix.skills import skill_turn_limit
if TYPE_CHECKING:
@@ -430,7 +427,6 @@ async def spawn_child_agent(
name=name,
parent_id=parent_id,
task=task,
skills=skills,
initial_input=child_initial_input(
name=name,
child_id=child_id,
@@ -514,7 +510,6 @@ async def respawn_subagents(
name=name,
parent_id=parent_id,
task=str(md.get("task", "")),
skills=child_skills,
initial_input=[],
start_parked=start_parked,
event_sink=event_sink,
@@ -604,7 +599,7 @@ async def _run_until_lifecycle(
hooks=hooks,
)
except BudgetPausedError as exc:
if coordinator.budget_policy != "pause" and not exc.operator_pause:
if coordinator.budget_policy != "pause":
raise
# The agent parked right before an LLM call; everything up to that
# point is already in its session. Once resumed, the same call goes
@@ -617,7 +612,6 @@ async def _run_until_lifecycle(
# Stopped while parked (operator stop or a parent's stop_agent).
await coordinator.reset_recovery(agent_id)
return result
await coordinator.consume_pending(agent_id)
if session is not None:
input_data = []
continue
@@ -837,7 +831,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
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)
if coordinator.budget_policy == "pause" or exc.operator_pause:
if coordinator.budget_policy == "pause":
await coordinator.park_for_budget(agent_id)
else:
await coordinator.pause_for_budget(agent_id)
@@ -1009,7 +1003,7 @@ async def _append_tool_required_message(
message = (
"Your previous message ended a turn without a tool call. Plain text never ends "
"execution and never hands control to the user: it is shown to the user, and the "
"run continues. Continue immediately and call a tool. "
"run continues. Continue immediately and call exactly one tool. "
"If you have nothing to do until the user replies, call wait_for_user; your "
"text already reached them, so do not repeat it. "
"If you are blocked waiting for another agent, call wait_for_agents. "
@@ -1021,7 +1015,7 @@ async def _append_tool_required_message(
message = (
"Your previous response ended the autonomous run without a lifecycle tool "
"call. That is invalid in non-interactive mode; plain text final answers are "
"ignored. Continue immediately and call a tool. "
"ignored. Continue immediately and call exactly one tool. "
f"If your work is complete, call {finish_tool}. "
"If you are blocked waiting for another agent, call wait_for_agents. "
"Otherwise use the appropriate execution or planning tool. "
@@ -1166,7 +1160,6 @@ async def _start_child_runner(
name: str,
parent_id: str | None,
task: str,
skills: list[str],
initial_input: Any,
start_parked: bool = False,
event_sink: StreamEventSink | None = None,
@@ -1180,9 +1173,6 @@ async def _start_child_runner(
child_ctx["agent_id"] = child_id
child_ctx["parent_id"] = parent_id
child_ctx["task"] = task
child_ctx[TURN_LIMIT_KEY] = skill_turn_limit(
skills, parent_ctx.get(SUBAGENT_TURN_LIMITS_KEY) or {}
)
async def _child_loop() -> None:
# A budget stop is a clean scan-wide shutdown, not a child failure: the
+2 -94
View File
@@ -4,32 +4,24 @@ from __future__ import annotations
import logging
import math
import time
from datetime import UTC, datetime
from typing import TYPE_CHECKING, Any
from agents.lifecycle import RunHooks
from strix.core.agents import BudgetPolicy, coordinator_from_context
from strix.report.state import get_global_report_state, record_tool_call
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.tool import Tool
logger = logging.getLogger(__name__)
LLM_TURN_KEY = "llm_turn"
# ``run_strix_scan(subagent_turn_limits=...)``, and the limit it gives one sub-agent.
SUBAGENT_TURN_LIMITS_KEY = "subagent_turn_limits"
TURN_LIMIT_KEY = "turn_limit"
_TURN_LIMIT_WARN_BEFORE = 10
_TURN_LIMIT_REPEAT = 5
# ``BudgetPolicy`` decides what happens when the accumulated LLM cost reaches
# ``max_budget_usd``.
@@ -43,8 +35,6 @@ _TURN_LIMIT_REPEAT = 5
# same call when the operator raises the limit or resumes.
__all__ = [
"LLM_TURN_KEY",
"SUBAGENT_TURN_LIMITS_KEY",
"TURN_LIMIT_KEY",
"BudgetExceededError",
"BudgetPausedError",
"BudgetPolicy",
@@ -75,12 +65,9 @@ class BudgetPausedError(RuntimeError):
decided to park; the agent waits for a resume newer than that.
"""
def __init__(
self, message: str, *, resume_epoch: int = 0, operator_pause: bool = False
) -> None:
def __init__(self, message: str, *, resume_epoch: int = 0) -> None:
super().__init__(message)
self.resume_epoch = resume_epoch
self.operator_pause = operator_pause
def _validate_budget(max_budget_usd: float | None) -> None:
@@ -173,7 +160,6 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
max_turns: int | None = None,
interactive: bool = False,
budget_policy: BudgetPolicy = "stop",
record_tool_timings: bool = False,
) -> None:
_validate_budget(max_budget_usd)
if max_turns is not None and max_turns <= 0:
@@ -186,8 +172,6 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
self._max_turns = max_turns
self._interactive = interactive
self._budget_policy: BudgetPolicy = budget_policy
self._record_tool_timings = record_tool_timings
self._tool_starts: dict[str, tuple[datetime, float]] = {}
@property
def max_budget_usd(self) -> float | None:
@@ -214,26 +198,15 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
system_prompt: str | None, # noqa: ARG002
input_items: list[TResponseInputItem],
) -> None:
self._pause_if_operator_paused(context)
if self._budget_policy == "pause":
self._pause_if_limited(context)
context.context[LLM_TURN_KEY] = int(context.context.get(LLM_TURN_KEY, 0)) + 1
try:
self._maybe_warn_turns(context, input_items)
self._maybe_warn_soft_turn_limit(context, input_items)
self._maybe_warn_budget(context, input_items)
except Exception:
logger.exception("budget/turn warning injection failed")
def _pause_if_operator_paused(self, context: RunContextWrapper[dict[str, Any]]) -> None:
coordinator = coordinator_from_context(context.context)
if coordinator is not None and coordinator.operator_paused:
raise BudgetPausedError(
"scan paused; waiting for the operator to resume",
resume_epoch=coordinator.resume_epoch,
operator_pause=True,
)
def _pause_if_limited(self, context: RunContextWrapper[dict[str, Any]]) -> None:
"""Park the agent before a paid call when the scan is at its limit or paused.
@@ -284,40 +257,6 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
)
input_items.append({"role": "user", "content": content})
def _maybe_warn_soft_turn_limit(
self,
context: RunContextWrapper[dict[str, Any]],
input_items: list[TResponseInputItem],
) -> None:
"""A soft limit, never a stop: warn 10 turns before it, then every few turns past it."""
limit = context.context.get(TURN_LIMIT_KEY)
requests = getattr(getattr(context, "usage", None), "requests", None)
if not isinstance(limit, int) or not isinstance(requests, int):
return
turns_used = requests + 1
if turns_used == limit - _TURN_LIMIT_WARN_BEFORE:
content = (
f"[NOTICE] You have used {turns_used} of your {limit}-turn limit. Start "
"wrapping up: take only the steps you still need to answer your task, then "
"call agent_finish. You may go past the limit only while you are still "
"making real progress."
)
elif turns_used >= limit and (turns_used - limit) % _TURN_LIMIT_REPEAT == 0:
content = (
f"[NOTICE] You have used {turns_used} turns, past your {limit}-turn limit. "
"Call agent_finish now with what you have, listing anything unresolved in "
"open_items, unless your next steps are clearly making progress on your task."
)
else:
return
logger.info(
"Turn-limit notice for agent %s: turn %d, limit %d",
context.context.get("agent_id"),
turns_used,
limit,
)
input_items.append({"role": "user", "content": content})
def _maybe_warn_budget(
self,
context: RunContextWrapper[dict[str, Any]],
@@ -363,37 +302,6 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
)
input_items.append({"role": "user", "content": content})
async def on_tool_start(
self,
context: RunContextWrapper[dict[str, Any]],
agent: Agent[dict[str, Any]], # noqa: ARG002
tool: Tool, # noqa: ARG002
) -> None:
call_id = getattr(context, "tool_call_id", None)
if self._record_tool_timings and isinstance(call_id, str):
self._tool_starts[call_id] = (datetime.now(UTC), time.monotonic())
async def on_tool_end(
self,
context: RunContextWrapper[dict[str, Any]],
agent: Agent[dict[str, Any]], # noqa: ARG002
tool: Tool,
result: object, # noqa: ARG002
) -> None:
call_id = getattr(context, "tool_call_id", None)
start = self._tool_starts.pop(call_id, None) if isinstance(call_id, str) else None
if start is None:
return
started_at, started = start
ctx = context.context if isinstance(context.context, dict) else {}
agent_id = ctx.get("agent_id")
record_tool_call(
started_at=started_at,
agent_id=agent_id if isinstance(agent_id, str) else None,
tool=tool.name,
duration_ms=round((time.monotonic() - started) * 1000),
)
async def on_llm_end(
self,
context: RunContextWrapper[dict[str, Any]],
+5 -14
View File
@@ -247,30 +247,25 @@ def make_model_settings(
*,
model_name: str,
force_required_tool_choice: bool = False,
parallel_tool_calls: bool = False,
request_timeout: float | None = None,
prompt_cache: bool = True,
extra_headers: dict[str, str] | None = None,
extra_body: dict[str, Any] | None = None,
has_tools: bool = True,
) -> ModelSettings:
headers = _request_headers(model_name, extra_headers)
model_settings = ModelSettings(
parallel_tool_calls=parallel_tool_calls if has_tools else None,
parallel_tool_calls=False if has_tools else None,
retry=DEFAULT_MODEL_RETRY,
include_usage=True,
extra_args=request_timeout_extra_args(request_timeout),
extra_headers=headers,
extra_body=dict(extra_body) if extra_body else None,
)
if (
reasoning_effort is not None
and reasoning_effort != "none"
and model_supports_reasoning(model_name)
):
model_settings = model_settings.resolve(
_reasoning_settings(reasoning_effort, extra_body),
)
model_settings = model_settings.resolve(_reasoning_settings(reasoning_effort))
if force_required_tool_choice and _accepts_required_tool_choice(model_name):
model_settings = model_settings.resolve(ModelSettings(tool_choice="required"))
@@ -295,9 +290,7 @@ def _request_headers(
return headers or None
def _reasoning_settings(
effort: ReasoningEffort, extra_body: dict[str, Any] | None = None
) -> ModelSettings:
def _reasoning_settings(effort: ReasoningEffort) -> ModelSettings:
"""``max`` is not in the OpenAI SDK's ``Reasoning.effort`` enum, so send it as
a raw body field instead — also keeping it clear of LiteLLM's DeepSeek mapping,
which collapses every ``reasoning_effort`` level to plain thinking-enabled.
@@ -305,13 +298,11 @@ def _reasoning_settings(
It goes in ``extra_body``, the field every model implementation forwards as the
request's ``extra_body``; the same value under ``extra_args`` collides with that
keyword and raises before a request is ever sent. ``resolve`` replaces
``extra_body`` wholesale, so the user's ``LLM_EXTRA_BODY`` fields are carried
over, with ``reasoning_effort`` taking precedence.
keyword and raises before a request is ever sent.
"""
if effort != "max":
return ModelSettings(reasoning=Reasoning(effort=effort))
return ModelSettings(extra_body={**(extra_body or {}), "reasoning_effort": "max"})
return ModelSettings(extra_body={"reasoning_effort": "max"})
def _prompt_cache_extra_args(model_name: str) -> dict[str, Any] | None:
+3 -46
View File
@@ -8,7 +8,7 @@ import io
import json
import logging
import uuid
from collections.abc import Awaitable, Callable, Mapping
from collections.abc import Callable
from pathlib import Path
from typing import TYPE_CHECKING, Any
@@ -36,12 +36,7 @@ from strix.core.execution import (
from strix.core.execution import (
spawn_child_agent as start_child_agent,
)
from strix.core.hooks import (
SUBAGENT_TURN_LIMITS_KEY,
BudgetExceededError,
ReportUsageHooks,
recomputed_budget_flags,
)
from strix.core.hooks import BudgetExceededError, ReportUsageHooks, recomputed_budget_flags
from strix.core.inputs import (
build_root_task,
build_scan_targets,
@@ -59,7 +54,6 @@ from strix.tools.output_store import (
WORKSPACE_SPILL_DIR,
configure_spill_writer,
)
from strix.tools.reporting.tool import create_vulnerability_report
if TYPE_CHECKING:
@@ -176,17 +170,11 @@ def _compose_root_instructions_override(
is_whitebox: bool,
is_diff_scoped: bool,
interactive: bool,
parallel_tool_calls: bool,
system_prompt_context: dict[str, Any],
supports_images: bool,
report_tool: str,
coverage_tools: bool,
replace_scan_prompt: bool,
) -> str | None:
if root_instructions_override is None:
return None
if replace_scan_prompt:
return f"{root_instructions_override}\n\n{render_scope_prompt(system_prompt_context)}"
base_instructions = render_system_prompt(
skills=skills,
@@ -195,12 +183,9 @@ def _compose_root_instructions_override(
is_root=True,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=parallel_tool_calls,
system_prompt_context=system_prompt_context,
include_scope=False,
supports_images=supports_images,
report_tool=report_tool,
coverage_tools=coverage_tools,
)
return (
f"{base_instructions}\n\n"
@@ -218,7 +203,7 @@ async def run_strix_scan(
scan_id: str | None = None,
image: str,
local_sources: list[dict[str, Any]] | None = None,
extra_files: list[dict[str, Any]] | Awaitable[list[dict[str, Any]] | None] | None = None,
extra_files: list[dict[str, Any]] | None = None,
coordinator: AgentCoordinator | None = None,
interactive: bool = False,
max_turns: int = DEFAULT_MAX_TURNS,
@@ -228,22 +213,16 @@ async def run_strix_scan(
cleanup_on_exit: bool = True,
event_sink: StreamEventSink | None = None,
root_instructions_override: str | None = None,
replace_root_scan_prompt: bool = False,
extra_system_prompt_context: dict[str, Any] | None = None,
status_sink: StatusSink | None = None,
mcp_connection_requests: list[McpConnectionRequest] | None = None,
mcp_status_sink: McpStatusSink | None = None,
root_finish_tool: Tool = finish_scan,
report_tool: Tool = create_vulnerability_report,
coverage_tools: bool = True,
subagent_turn_limits: Mapping[str, int] | None = None,
) -> RunResultBase | None:
"""Run or resume one Strix scan against a sandbox.
``root_instructions_override`` adds root scan instructions to the rendered
root prompt without replacing the system-verified scope block.
``replace_root_scan_prompt=True`` makes it the root's whole prompt, followed
by the scope, instead of adding it to the rendered scan prompt.
``extra_files`` entries (``{"workspace_path", "content"}``) are placed into
the sandbox workspace at session bring-up; see
:func:`strix.runtime.session_manager.create_or_reuse`.
@@ -262,13 +241,6 @@ async def run_strix_scan(
way the engine does the connecting, so the caller passes inert configs plus
metadata and never live sessions.
``root_finish_tool`` is the tool the root agent ends the run with.
``report_tool`` is the tool every agent files findings with, in place of
``create_vulnerability_report``.
``coverage_tools=False`` drops the coverage ledger tools and their prompt
rules from every agent.
``subagent_turn_limits`` maps a skill name to a soft turn limit for sub-agents
spawned with that skill (the largest applies). Agents are warned 10 turns
before it and reminded past it, but never stopped.
"""
def report(phase: str) -> None:
@@ -426,11 +398,9 @@ async def run_strix_scan(
settings.llm.reasoning_effort,
model_name=resolved_model,
force_required_tool_choice=settings.llm.force_required_tool_choice,
parallel_tool_calls=settings.llm.parallel_tool_calls,
request_timeout=settings.llm.timeout,
prompt_cache=settings.llm.prompt_cache,
extra_headers=settings.llm.extra_headers,
extra_body=settings.llm.extra_body,
)
run_config = RunConfig(
model=resolved_model,
@@ -448,7 +418,6 @@ async def run_strix_scan(
max_turns=max_turns,
interactive=interactive,
budget_policy=budget_policy,
record_tool_timings=settings.telemetry.run_record_timings,
)
coordinator.set_budget_limit_setter(hooks.set_max_budget_usd)
if interactive and budget_policy != "pause":
@@ -522,12 +491,8 @@ async def run_strix_scan(
is_whitebox=is_whitebox,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=settings.llm.parallel_tool_calls,
system_prompt_context=root_context,
supports_images=supports_images,
report_tool=report_tool.name,
coverage_tools=coverage_tools,
replace_scan_prompt=replace_root_scan_prompt,
)
root_agent = build_strix_agent(
@@ -538,15 +503,12 @@ async def run_strix_scan(
is_whitebox=is_whitebox,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=settings.llm.parallel_tool_calls,
chat_completions_tools=chat_completions_tools,
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=root_context,
instructions_override=root_instructions,
supports_images=supports_images,
finish_tool=root_finish_tool,
report_tool=report_tool,
coverage_tools=coverage_tools,
)
if not is_resume:
@@ -563,13 +525,10 @@ async def run_strix_scan(
is_whitebox=is_whitebox,
is_diff_scoped=is_diff_scoped,
interactive=interactive,
parallel_tool_calls=settings.llm.parallel_tool_calls,
chat_completions_tools=chat_completions_tools,
strict_tool_schemas=strict_tool_schemas,
system_prompt_context=scope_context,
supports_images=supports_images,
report_tool=report_tool,
coverage_tools=coverage_tools,
)
async def spawn_child_agent(**kwargs: Any) -> dict[str, Any]:
@@ -598,8 +557,6 @@ async def run_strix_scan(
"scan_targets": build_scan_targets(scan_config),
"max_context_images": settings.runtime.max_context_images,
"supports_images": supports_images,
"coverage_tools": coverage_tools,
SUBAGENT_TURN_LIMITS_KEY: dict(subagent_turn_limits or {}),
}
root_session = open_agent_session(root_id, agents_db)
+2 -3
View File
@@ -164,13 +164,12 @@ async def warm_up_llm() -> None:
raw_model = dedupe_model
deduper = resolve_dedupe_model(settings.dedupe, dedupe_model)
# A dedicated dedupe model may route to another provider, which must
# never receive the main endpoint's headers or body fields; it has
# its own DEDUPE_LLM_EXTRA_HEADERS and DEDUPE_LLM_EXTRA_BODY.
# never receive the main endpoint's headers; it has its own
# DEDUPE_LLM_EXTRA_HEADERS.
await preflight_request(
deduper,
model_name=dedupe_model,
extra_headers=settings.dedupe.extra_headers,
extra_body=settings.dedupe.extra_body,
timeout=llm.preflight_timeout,
api_base_setting="DEDUPE_LLM_API_BASE",
)
-3
View File
@@ -116,7 +116,6 @@ async def preflight_model_connection(
model,
model_name=model_name,
extra_headers=resolved_settings.llm.extra_headers,
extra_body=resolved_settings.llm.extra_body,
timeout=resolved_settings.llm.preflight_timeout,
api_base_setting="LLM_API_BASE",
)
@@ -127,7 +126,6 @@ async def preflight_request(
*,
model_name: str,
extra_headers: dict[str, str] | None,
extra_body: dict[str, Any] | None,
timeout: int,
api_base_setting: str,
) -> None:
@@ -146,7 +144,6 @@ async def preflight_request(
request_timeout=timeout,
prompt_cache=False,
extra_headers=extra_headers,
extra_body=extra_body,
has_tools=False,
)
try:
-2
View File
@@ -1,2 +0,0 @@
# Supply-chain cooldown: only install versions published at least 5 days ago (npm >= 11.10).
min-release-age=5
+4 -70
View File
@@ -29,7 +29,7 @@
"@vitejs/plugin-react": "^5.0.0",
"tailwindcss": "^4.1.0",
"typescript": "^5.6.0",
"vite": "^6.4.4"
"vite": "^6.0.0"
}
},
"node_modules/@babel/code-frame": {
@@ -1401,72 +1401,6 @@
"node": ">=14.0.0"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/@emnapi/core": {
"version": "1.11.1",
"dev": true,
"inBundle": true,
"license": "MIT",
"optional": true,
"dependencies": {
"@emnapi/wasi-threads": "1.2.2",
"tslib": "^2.4.0"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/@emnapi/runtime": {
"version": "1.11.1",
"dev": true,
"inBundle": true,
"license": "MIT",
"optional": true,
"dependencies": {
"tslib": "^2.4.0"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/@emnapi/wasi-threads": {
"version": "1.2.2",
"dev": true,
"inBundle": true,
"license": "MIT",
"optional": true,
"dependencies": {
"tslib": "^2.4.0"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/@napi-rs/wasm-runtime": {
"version": "1.1.4",
"dev": true,
"inBundle": true,
"license": "MIT",
"optional": true,
"dependencies": {
"@tybys/wasm-util": "^0.10.1"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
},
"peerDependencies": {
"@emnapi/core": "^1.7.1",
"@emnapi/runtime": "^1.7.1"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/@tybys/wasm-util": {
"version": "0.10.2",
"dev": true,
"inBundle": true,
"license": "MIT",
"optional": true,
"dependencies": {
"tslib": "^2.4.0"
}
},
"node_modules/@tailwindcss/oxide-wasm32-wasi/node_modules/tslib": {
"version": "2.8.1",
"dev": true,
"inBundle": true,
"license": "0BSD",
"optional": true
},
"node_modules/@tailwindcss/oxide-win32-arm64-msvc": {
"version": "4.3.3",
"resolved": "https://registry.npmjs.org/@tailwindcss/oxide-win32-arm64-msvc/-/oxide-win32-arm64-msvc-4.3.3.tgz",
@@ -4162,9 +4096,9 @@
}
},
"node_modules/vite": {
"version": "6.4.4",
"resolved": "https://registry.npmjs.org/vite/-/vite-6.4.4.tgz",
"integrity": "sha512-xGjU/SyjeNyb0E4KxXBvYz/1C+3JXuujvf2hXNOtnlcE+58o5ajd9N2/n2VhkiJvpCP2qQasnUpx5PXNeI+p1Q==",
"version": "6.4.3",
"resolved": "https://registry.npmjs.org/vite/-/vite-6.4.3.tgz",
"integrity": "sha512-NTKlcQjlAK7MlQoyb6LgaqHc8sso/pVyUJYWMws3jg21uTJw/LddqIFPcPqP6PzpgbIcZyKI85sFE4HBrQDA8A==",
"dev": true,
"license": "MIT",
"dependencies": {
+1 -1
View File
@@ -30,6 +30,6 @@
"@vitejs/plugin-react": "^5.0.0",
"tailwindcss": "^4.1.0",
"typescript": "^5.6.0",
"vite": "^6.4.4"
"vite": "^6.0.0"
}
}
-1
View File
@@ -307,7 +307,6 @@ async def _summarize(model: str, prompt: str, max_tokens: int) -> str | None:
request_timeout=llm.timeout,
prompt_cache=False,
extra_headers=llm.extra_headers,
extra_body=llm.extra_body,
has_tools=False,
).resolve(ModelSettings(max_tokens=max_tokens))
try:
+4 -6
View File
@@ -39,13 +39,11 @@ def _dedupe_model_settings(
model_name=model_name,
force_required_tool_choice=False,
request_timeout=request_timeout,
# The main model's headers and body fields apply only when dedupe falls
# back to the main model; a dedicated dedupe model may route to another
# provider, which must never receive the main endpoint's credentials or
# identifiers. A dedicated model gets its own DEDUPE_LLM_EXTRA_HEADERS
# and DEDUPE_LLM_EXTRA_BODY instead.
# The main model's headers apply only when dedupe falls back to the main
# model; a dedicated dedupe model may route to another provider, which
# must never receive the main endpoint's credentials. A dedicated model
# gets its own DEDUPE_LLM_EXTRA_HEADERS instead.
extra_headers=dedupe.extra_headers if dedupe.model else llm.extra_headers,
extra_body=dedupe.extra_body if dedupe.model else llm.extra_body,
has_tools=False,
)
-43
View File
@@ -28,8 +28,6 @@ from strix.telemetry import posthog, scarf
if TYPE_CHECKING:
from agents.usage import Usage
from strix.llm.request_log import LlmRequestEvent
logger = logging.getLogger(__name__)
@@ -1021,47 +1019,6 @@ class StreamedOpenRouterCosts:
streamed_openrouter_costs = StreamedOpenRouterCosts()
def record_llm_request(event: "LlmRequestEvent") -> None:
"""Request-log sink: each provider attempt's timing, kept in run.json's ``llm_requests``."""
report_state = get_global_report_state()
if report_state is None:
return
details = event.details or {}
report_state.run_record.setdefault("llm_requests", []).append(
{
"started_at": event.started_at.isoformat(),
"agent_id": event.agent_id,
"model": event.model,
"provider": details.get("upstream_provider") or event.provider,
"outcome": event.outcome,
"status": event.status_code,
"duration_ms": event.duration_ms,
"ttft_ms": event.time_to_first_token_ms,
"input_tokens": event.input_tokens,
"cached_tokens": event.cached_input_tokens,
"output_tokens": event.output_tokens,
"retry_attempt": event.retry_attempt,
}
)
def record_tool_call(
*, started_at: datetime, agent_id: str | None, tool: str, duration_ms: int
) -> None:
"""Each tool call's timing, kept in run.json's ``tool_calls``."""
report_state = get_global_report_state()
if report_state is None:
return
report_state.run_record.setdefault("tool_calls", []).append(
{
"started_at": started_at.isoformat(),
"agent_id": agent_id,
"tool": tool,
"duration_ms": duration_ms,
}
)
def record_openrouter_provider(provider: Any, usage: Any) -> None:
"""Tally which upstream provider served a stream, from its final usage chunk.
-255
View File
@@ -1,255 +0,0 @@
from __future__ import annotations
import asyncio
import contextlib
import logging
from pathlib import Path
from typing import TYPE_CHECKING, Any
from agents.sandbox.session.manager import Instrumentation
from agents.sandbox.session.sandbox_session import SandboxSession
from agents.sandbox.session.sandbox_session_state import SandboxSessionState
from agents.sandbox.snapshot import NoopSnapshot
if TYPE_CHECKING:
import io
from collections.abc import Sequence
from agents.sandbox.entries import BaseEntry
from agents.sandbox.manifest import Manifest
from agents.sandbox.materialization import MaterializedFile
from agents.sandbox.session.base_sandbox_session import BaseSandboxSession
from agents.sandbox.types import ExecResult, ExposedPortEndpoint, User
logger = logging.getLogger(__name__)
class _PendingSessionState(SandboxSessionState):
type: str = "pending"
class DeferredSandboxSession(SandboxSession):
def __init__(
self,
bring_up: asyncio.Task[tuple[Any, BaseSandboxSession]],
*,
manifest: Manifest,
exposed_ports: tuple[int, ...] = (),
) -> None:
self._bring_up = bring_up
self._pending_state: SandboxSessionState = _PendingSessionState(
snapshot=NoopSnapshot(id="pending"),
manifest=manifest,
exposed_ports=exposed_ports,
)
self._pending_limits: Any = None
self._pending_archive_limits: Any = None
self._resolved: BaseSandboxSession | None = None
self._client: Any = None
self._instrumentation: Instrumentation = Instrumentation()
self._seq = 0
@property
def pending(self) -> bool:
return self._resolved is None
@property
def bring_up(self) -> asyncio.Task[tuple[Any, BaseSandboxSession]]:
return self._bring_up
async def resolve(self) -> BaseSandboxSession:
if self._resolved is not None:
return self._resolved
client, session = await asyncio.shield(self._bring_up)
self._adopt(client, session)
return session
def _adopt(self, client: Any, session: BaseSandboxSession) -> None:
if self._resolved is not None:
return
self._client = client
self._resolved = session
self._inner = session
if self._pending_limits is not None:
session._set_concurrency_limits(self._pending_limits)
if self._pending_archive_limits is not None:
session._set_archive_limits(self._pending_archive_limits)
if self._pending_state.manifest != session.state.manifest:
session.state = session.state.model_copy(
update={"manifest": self._pending_state.manifest}
)
@property
def client(self) -> Any:
return self._client
@property
def state(self) -> SandboxSessionState:
if self._resolved is None:
return self._pending_state
return self._resolved.state
@state.setter
def state(self, value: SandboxSessionState) -> None:
if self._resolved is None:
self._pending_state = value
else:
self._resolved.state = value
def _set_concurrency_limits(self, limits: Any) -> None:
if self._resolved is None:
self._pending_limits = limits
else:
self._resolved._set_concurrency_limits(limits)
def _set_archive_limits(self, limits: Any) -> None:
if self._resolved is None:
self._pending_archive_limits = limits
else:
self._resolved._set_archive_limits(limits)
def _manifest_base_dir(self) -> Path:
if self._resolved is None:
return Path.cwd()
return self._resolved._manifest_base_dir()
def normalize_path(self, path: Path | str, *, for_write: bool = False) -> Path:
if self._resolved is None:
return Path(path)
return self._resolved.normalize_path(path, for_write=for_write)
def register_persist_workspace_skip_path(self, path: Path | str) -> Path:
if self._resolved is None:
return Path(path)
return self._resolved.register_persist_workspace_skip_path(path)
def supports_pty(self) -> bool:
return self._resolved.supports_pty() if self._resolved is not None else False
async def running(self) -> bool:
if self._resolved is None:
if not self._bring_up.done():
return True
return not self._bring_up.cancelled() and self._bring_up.exception() is None
return await self._resolved.running()
async def start(self) -> None:
if self._resolved is None:
return
await self._resolved.start()
async def stop(self) -> None:
if self._resolved is None:
return
await self._resolved.stop()
async def shutdown(self) -> None:
if self._resolved is None:
return
await self._resolved.shutdown()
async def aclose(self) -> None:
if self._resolved is None:
return
await self._resolved.aclose()
async def _validate_manifest_application(self, *, only_ephemeral: bool = False) -> None:
session = await self.resolve()
await session._validate_manifest_application(only_ephemeral=only_ephemeral)
async def apply_manifest(self, *, only_ephemeral: bool = False) -> Any:
session = await self.resolve()
return await session.apply_manifest(only_ephemeral=only_ephemeral)
async def _apply_entry_batch(
self,
entries: Sequence[tuple[Path, BaseEntry]],
*,
base_dir: Path,
) -> list[MaterializedFile]:
del base_dir
session = await self.resolve()
return await session._apply_entry_batch(entries, base_dir=session._manifest_base_dir())
async def exec(self, *command: str | Path, **kwargs: Any) -> ExecResult:
await self.resolve()
return await super().exec(*command, **kwargs)
async def ls(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().ls(*args, **kwargs)
async def rm(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().rm(*args, **kwargs)
async def mkdir(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().mkdir(*args, **kwargs)
async def read(self, path: Path, *, user: str | User | None = None) -> io.IOBase:
await self.resolve()
return await super().read(path, user=user)
async def write(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().write(*args, **kwargs)
async def resolve_exposed_port(self, port: int) -> ExposedPortEndpoint:
await self.resolve()
return await super().resolve_exposed_port(port)
async def _resolve_exposed_port(self, port: int) -> ExposedPortEndpoint:
session = await self.resolve()
return await session._resolve_exposed_port(port)
async def pty_exec_start(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().pty_exec_start(*args, **kwargs)
async def pty_write_stdin(self, *args: Any, **kwargs: Any) -> Any:
await self.resolve()
return await super().pty_write_stdin(*args, **kwargs)
async def pty_terminate_all(self) -> None:
if self._resolved is None:
return
await super().pty_terminate_all()
async def persist_workspace(self) -> io.IOBase:
await self.resolve()
return await super().persist_workspace()
async def hydrate_workspace(self, data: io.IOBase) -> None:
await self.resolve()
await super().hydrate_workspace(data)
async def teardown(self) -> None:
if self._resolved is None:
self._bring_up.cancel()
with contextlib.suppress(BaseException):
client, session = await self._bring_up
self._adopt(client, session)
if self._resolved is None:
return
await self._client.delete(self._resolved)
class DeferredSandboxClient:
def __init__(self, session: DeferredSandboxSession) -> None:
self._session = session
def __getattr__(self, name: str) -> Any:
client = self._session.client
if client is None:
raise AttributeError(f"sandbox client unavailable before bring-up finishes ({name})")
return getattr(client, name)
async def delete(self, session: Any) -> None:
if isinstance(session, DeferredSandboxSession):
await session.teardown()
return
real = await self._session.resolve()
await self._session.client.delete(real if session is self._session else session)
-28
View File
@@ -66,33 +66,6 @@ def _apply_sandbox_network(create_kwargs: dict[str, Any]) -> None:
create_kwargs.pop("ports", None)
_SANDBOX_DEVICES_ENV = "STRIX_DOCKER_SANDBOX_DEVICES"
def _sandbox_devices() -> list[str]:
raw = os.environ.get(_SANDBOX_DEVICES_ENV, "")
return [item.strip() for item in raw.split(",") if item.strip()]
def _apply_sandbox_devices(create_kwargs: dict[str, Any]) -> None:
"""Pass the host devices listed in ``STRIX_DOCKER_SANDBOX_DEVICES`` through.
Comma-separated device paths, each mapped to the same path in the container
with ``rwm`` access. A tunnel brought up inside the sandbox (OpenVPN,
Tailscale) needs ``/dev/net/tun``: Docker's default device cgroup denies it
even with ``NET_ADMIN``. Unset means no extra devices.
"""
devices = _sandbox_devices()
if not devices:
return
existing = [str(item) for item in (create_kwargs.get("devices") or [])]
for path in devices:
spec = f"{path}:{path}:rwm"
if spec not in existing and path not in existing:
existing.append(spec)
create_kwargs["devices"] = existing
def _apply_resource_limits(create_kwargs: dict[str, Any]) -> None:
"""Apply optional cgroup resource caps from the environment. Unset/blank
values leave docker's default (unbounded), so this is opt-in per host."""
@@ -260,7 +233,6 @@ class StrixDockerSandboxClient(DockerSandboxClient):
extra_hosts["host.docker.internal"] = "host-gateway"
_apply_sandbox_network(create_kwargs)
_apply_sandbox_devices(create_kwargs)
_apply_resource_limits(create_kwargs)
_apply_log_limits(create_kwargs)
_apply_run_labels(create_kwargs)
+32 -93
View File
@@ -3,8 +3,6 @@
from __future__ import annotations
import asyncio
import contextlib
import inspect
import io
import logging
import os
@@ -21,12 +19,9 @@ from strix.config import load_settings
from strix.runtime.backends import backend_supports_bind_mounts, get_backend
from strix.runtime.caido_bootstrap import bootstrap_caido
from strix.runtime.caido_handle import CaidoBootstrapHandle
from strix.runtime.deferred_session import DeferredSandboxClient, DeferredSandboxSession
if TYPE_CHECKING:
from collections.abc import Awaitable
from agents.sandbox.session import BaseSandboxSession
from strix.runtime.status import StatusSink
@@ -260,22 +255,13 @@ def _gitdir_from_pointer(git_file: Path) -> Path | None:
return None
async def _resolve_extra_file_archive(
extra_files: list[dict[str, Any]] | Awaitable[list[dict[str, Any]] | None] | None,
local_sources: list[dict[str, Any]],
) -> bytes | None:
files = await extra_files if inspect.isawaitable(extra_files) else extra_files
return build_extra_file_archive(files, local_sources) if files else None
async def create_or_reuse(
scan_id: str,
*,
image: str,
local_sources: list[dict[str, Any]],
extra_files: list[dict[str, Any]] | Awaitable[list[dict[str, Any]] | None] | None = None,
extra_files: list[dict[str, Any]] | None = None,
status_sink: StatusSink | None = None,
defer: bool = False,
) -> dict[str, Any]:
"""Return the existing session bundle for ``scan_id`` or create a new one.
@@ -285,9 +271,7 @@ async def create_or_reuse(
Each ``extra_files`` entry (``{"workspace_path": "/workspace/<rel>",
"content": bytes | str}``) lands as a regular, agent-writable file at its
``workspace_path`` on every backend: the files are uploaded as one archive
and unpacked inside the sandbox right after bring-up. ``extra_files`` may
also be an awaitable resolving to that list: provisioning starts at once and
the files are awaited only when the sandbox is ready to receive them.
and unpacked inside the sandbox right after bring-up.
"""
def report(phase: str) -> None:
@@ -308,6 +292,9 @@ async def create_or_reuse(
else:
bind_mounts = []
entries = build_manifest_entries(local_sources)
extra_file_archive = (
build_extra_file_archive(extra_files, local_sources) if extra_files else None
)
# Caido runs as an in-container sidecar; HTTP(S) traffic from any
# process started via ``session.exec`` (the SDK's Shell tool, etc.)
@@ -336,69 +323,41 @@ async def create_or_reuse(
backend_name,
image,
)
report("Starting sandbox container")
client, session = await backend(
image=image,
manifest=manifest,
exposed_ports=(_CONTAINER_CAIDO_PORT,),
bind_mounts=bind_mounts,
)
async def _bring_up() -> tuple[Any, Any]:
report("Starting sandbox container")
client, session = await _create_or_discard(
backend(
image=image,
manifest=manifest,
exposed_ports=(_CONTAINER_CAIDO_PORT,),
bind_mounts=bind_mounts,
)
)
if extra_file_archive is not None:
report("Placing workspace files")
try:
extra_file_archive = await _resolve_extra_file_archive(extra_files, local_sources)
if extra_file_archive is not None:
report("Placing workspace files")
await stage_extra_files(session, extra_file_archive)
await stage_extra_files(session, extra_file_archive)
except BaseException:
await _discard_session(client, session)
raise
return client, session
async def _caido_url(session: Any) -> str:
report("Setting up the proxy")
caido_endpoint = await session.resolve_exposed_port(_CONTAINER_CAIDO_PORT)
scheme = "https" if caido_endpoint.tls else "http"
host_caido_url = f"{scheme}://{caido_endpoint.host}:{caido_endpoint.port}"
logger.debug("Caido host endpoint resolved: %s", host_caido_url)
return host_caido_url
report("Setting up the proxy")
caido_endpoint = await session.resolve_exposed_port(_CONTAINER_CAIDO_PORT)
scheme = "https" if caido_endpoint.tls else "http"
host_caido_url = f"{scheme}://{caido_endpoint.host}:{caido_endpoint.port}"
logger.debug("Caido host endpoint resolved: %s", host_caido_url)
def _caido(session: Any, host_caido_url: str) -> Any:
return bootstrap_caido(
session,
host_url=host_caido_url,
container_url=container_caido_url,
)
if defer:
bring_up = asyncio.create_task(_bring_up(), name=f"sandbox-bring-up-{scan_id}")
deferred = DeferredSandboxSession(
bring_up,
manifest=manifest,
exposed_ports=(_CONTAINER_CAIDO_PORT,),
)
async def _caido_when_up() -> Any:
session = await deferred.resolve()
return await _caido(session, await _caido_url(session))
bundle = {
"client": DeferredSandboxClient(deferred),
"session": deferred,
"caido_client": CaidoBootstrapHandle(
asyncio.create_task(_caido_when_up(), name=f"caido-bootstrap-{scan_id}")
),
}
_SESSION_CACHE[scan_id] = bundle
logger.info("Sandbox session for scan %s deferred and cached", scan_id)
return bundle
client, session = await _bring_up()
host_caido_url = await _caido_url(session)
# The Caido login + project setup polls the guest for a couple of seconds
# and nothing needs the client before the first proxy tool call, so it
# runs concurrently with the rest of scan start; consumers resolve the
# handle at first use (see CaidoBootstrapHandle).
caido_client = CaidoBootstrapHandle(
asyncio.create_task(_caido(session, host_caido_url), name=f"caido-bootstrap-{scan_id}")
asyncio.create_task(
bootstrap_caido(
session,
host_url=host_caido_url,
container_url=container_caido_url,
),
name=f"caido-bootstrap-{scan_id}",
)
)
bundle = {
@@ -411,26 +370,6 @@ async def create_or_reuse(
return bundle
_DISCARD_TASKS: set[asyncio.Task[None]] = set()
async def _create_or_discard(create: Awaitable[tuple[Any, Any]]) -> tuple[Any, Any]:
pending = asyncio.ensure_future(create)
try:
return await asyncio.shield(pending)
except asyncio.CancelledError:
discard = asyncio.create_task(_discard_when_created(pending))
_DISCARD_TASKS.add(discard)
discard.add_done_callback(_DISCARD_TASKS.discard)
raise
async def _discard_when_created(create: asyncio.Future[tuple[Any, Any]]) -> None:
with contextlib.suppress(BaseException):
client, session = await create
await _discard_session(client, session)
async def _discard_session(client: Any, session: Any) -> None:
"""Best-effort teardown of a session that never made it into the cache."""
try:
+3 -19
View File
@@ -1,7 +1,7 @@
import logging
import re
from collections import Counter
from collections.abc import Iterator, Mapping
from collections.abc import Iterator
from pathlib import Path
from typing import TypeGuard
@@ -21,7 +21,6 @@ _SKILL_TEMPLATES = Environment(
undefined=StrictUndefined,
trim_blocks=True,
lstrip_blocks=True,
keep_trailing_newline=True,
)
_INTERNAL_SKILL_CATEGORIES: frozenset[str] = frozenset({"scan_modes", "coordination", "analysis"})
@@ -271,22 +270,7 @@ def _candidate_skill_files(skill_name: str) -> list[Path]:
return _bare_skill_files(skill_name)
def skill_turn_limit(skill_names: list[str], turn_limits: Mapping[str, int]) -> int | None:
"""Largest of ``turn_limits`` (keyed by skill name) among these skills, if any."""
files = {path for name in skill_names for path in _candidate_skill_files(name)}
return max(
(
limit
for name, limit in turn_limits.items()
if files.intersection(_candidate_skill_files(name))
),
default=None,
)
def load_skills(
skill_names: list[str], *, supports_images: bool = True, coverage_tools: bool = True
) -> dict[str, str]:
def load_skills(skill_names: list[str], *, supports_images: bool = True) -> dict[str, str]:
"""Load skill markdown bodies (frontmatter stripped) by name.
Skill files live at ``strix/skills/<category>/<name>.md`` (or any
@@ -319,7 +303,7 @@ def load_skills(
metadata, skill_body = _parse_skill_content(content, file_path)
if metadata.get("template") == "jinja":
skill_body = _SKILL_TEMPLATES.from_string(skill_body).render(
supports_images=supports_images, coverage_tools=coverage_tools
supports_images=supports_images
)
skill_content[var_name] = skill_body
logger.debug("Loaded skill: %s -> %s", skill_name, var_name)
+3 -9
View File
@@ -1,7 +1,6 @@
---
name: counterevidence
description: Closure discipline for security findings — what counts as proof of safety, what does not, and how to record an unresolved candidate instead of silently dropping it
template: jinja
---
# Counterevidence and Closure Discipline
@@ -21,7 +20,7 @@ state, and "I moved on" is not one of them.
**1. `confirmed`** — you have a working PoC or, in white-box, a complete
source → control → sink → impact trace plus evidence the path is
reachable. File it as a vulnerability report.
reachable. File it with `create_vulnerability_report`.
**2. `ruled_out`** — you can name the **specific control** that makes the
code safe, at a specific location, and you have checked that the control
@@ -33,12 +32,8 @@ that sentence, you are not in `ruled_out`.
**3. `open_proof_gap`** — the candidate is plausible, you could not
confirm it, and you also could not name a control that rules it out. This
{% if coverage_tools %}
is a legitimate, expected outcome. Record it with
`record_coverage(outcome="needs_follow_up")`, carry it up in
{% else %}
is a legitimate, expected outcome. Carry it up in
{% endif %}
`agent_finish(open_items=[...])`, and reflect it in `counterevidence` /
`confidence_rationale` if you file a related report. Do **not** convert
it to `ruled_out` to tidy up your worklist.
@@ -102,7 +97,6 @@ What ships and what is reachable is what matters.
reduces severity — it does not make the finding unreal. Downgrade it;
do not delete it.
{% if coverage_tools %}
## Recording Closure
Closure is only useful if it is written down. Every surface you assess
@@ -131,7 +125,6 @@ named control does not cover the path you just found goes back to
previous state is kept as history, so correcting the record costs
nothing and leaving it wrong costs a finding.
{% endif %}
## What DOES Rule Out a Candidate
- You executed the attack and it demonstrably failed, and you understand
@@ -151,7 +144,8 @@ endpoint is broken/unreachable for unrelated reasons".
## Before You File a Report
Run this pass on every finding before filing it:
Run this pass on every finding before calling
`create_vulnerability_report`:
1. **Argue the other side.** Spend real effort building the strongest
case that this is *not* exploitable, or not as severe as you think.
@@ -1,7 +1,6 @@
---
name: source_aware_discovery
description: Enumeration discipline for reading code — which locations to keep as separate candidates, which safe siblings prove nothing, and the per-family sweeps that are routinely missed
template: jinja
---
# Source-Aware Discovery
@@ -207,10 +206,6 @@ Not worth it: "this could use more validation" with no path, style and
maintainability complaints, and cosmetic variants of a candidate you
already opened.
{% if coverage_tools %}
Keep reading until no distinct plausible candidate remains — then record
what you swept with `record_coverage`, including the families that came
back clean.
{% else %}
Keep reading until no distinct plausible candidate remains.
{% endif %}
-3
View File
@@ -1,7 +1,6 @@
---
name: root-agent
description: Orchestration layer that coordinates specialized subagents for security assessments
template: jinja
---
# Root Agent
@@ -36,12 +35,10 @@ Every scan needs one shared answer to "who is the attacker here, and what are th
Either way you write it with the least information anyone on this scan will ever have, so expect it to be wrong somewhere. Subagents correct it with `amend_threat_model`, which appends an attributed addendum instead of overwriting — expect many of these on a black-box run, as authenticating, pivoting between roles, and reaching internal surfaces is exactly what turns inference into fact. Read the amendments back before you write the final report: an agent telling you a boundary you called trusted is attacker-reachable is a finding about your model, not a note. Only call `save_threat_model` again to fold accumulated amendments into the body; it replaces the document and clears them.
{% if coverage_tools %}
## Reconcile Coverage Before Finishing
Coverage entries are shared and mutable. Before `finish_scan`, list the `needs_follow_up` rows: each one is either work you still owe or a row somebody already resolved without updating. Assign the former to a subagent and have it call `update_coverage` on the existing entry rather than recording a second one — a stale open item sitting next to its own resolution is worse than either alone.
{% endif %}
## Agent Architecture
Structure agents by function:
-8
View File
@@ -1,7 +1,6 @@
---
name: diff
description: Methodology for diff-scoped review of a pull request, commit, or branch — what counts as in scope, how far to follow a change, and what not to report
template: jinja
---
# Diff-Scoped Review
@@ -70,14 +69,9 @@ When it is not, the closure rules apply unchanged: a complete
source → control → sink → impact trace through the changed code is
reportable at reduced confidence, with the missing runtime proof named in
`confidence_rationale`. A candidate you can neither confirm nor rule out
{% if coverage_tools %}
with a named control is an `open_proof_gap` — record it as
`needs_follow_up` coverage rather than dropping it because the
environment was inconvenient.
{% else %}
with a named control is an `open_proof_gap` — carry it up as an open
item rather than dropping it because the environment was inconvenient.
{% endif %}
## Reporting
@@ -86,9 +80,7 @@ plainly which part of the diff introduced or exposed it. A reviewer
reading your report next to the diff should be able to see the connection
without re-deriving your analysis.
{% if coverage_tools %}
Record coverage per changed component, not per changed file — a
formatting-only file and a rewritten auth module are not equal rows.
{% endif %}
State which changed areas you reviewed and cleared, so the author knows
what a clean result actually covered.
+6 -30
View File
@@ -1,6 +1,6 @@
---
name: xss
description: XSS and HTML injection testing covering reflected, stored, DOM-based, and normalization-dependent vectors
description: XSS testing covering reflected, stored, and DOM-based vectors with CSP bypass techniques
---
# XSS
@@ -11,7 +11,6 @@ Cross-site scripting persists because context, parser, and framework edges are c
**Types**
- Reflected, stored, and DOM-based XSS across web/mobile/desktop shells
- Scriptless HTML injection and second-order render paths
**Contexts**
- HTML, attribute, URL, JS, CSS, SVG/MathML, Markdown, PDF
@@ -21,7 +20,6 @@ Cross-site scripting persists because context, parser, and framework edges are c
**Defenses to Bypass**
- CSP/Trusted Types, DOMPurify, framework auto-escaping
- Decode, normalization, sanitization, and encoding order
## Injection Points
@@ -59,24 +57,6 @@ Cross-site scripting persists because context, parser, and framework edges are c
Distinguish HTML-string input from live DOM objects sanitized with `IN_PLACE`. Resolve the deployed DOMPurify build and check relevant upstream advisories; a controlled observable `nodeName` is one live-node bypass mechanism. Trace same-origin foreign nodes or `adoptNode()` into this mode before selecting the bypass ([example advisory](https://github.com/cure53/DOMPurify/security/advisories/GHSA-x4vx-rjvf-j5p4)).
### Scriptless HTML Injection
Do not require JavaScript execution before you report HTML injection. Prove that the browser creates attacker-controlled markup and a concrete security effect.
Test base or form target changes, external requests, deceptive content, DOM clobbering through `id` or `name`, and dangling markup. Report XSS only when you prove a script-capable execution path. Do not dismiss HTML injection only because CSP blocks scripts.
### Unicode Normalization
Test normalization only when the target performs it. NFKC can fold fullwidth delimiters such as `<` and `>` into HTML syntax.
Map validation, normalization, sanitization, encoding, and parsing in order. Start with the harmless canary `<h1 id="strix-nfkc">marker</h1>`.
Report a bypass only when normalization creates dangerous syntax that reaches an unprotected sink. Load `semantic_confusion` when components interpret the value differently.
### Second-Order Rendering
Follow stored values into previews, administrative pages, email, exports, and hydration. Record which stage transforms and parses the value.
### DOM XSS
**Sources**
@@ -186,7 +166,7 @@ Keep a compact set tuned per context:
## Testing Methodology
1. **Identify sources** - URL/query/hash/referrer, postMessage, storage, WebSocket, server JSON
2. **Trace transformations and sinks** - Record decoding, normalization, sanitization, reparsing, and the final sink
2. **Trace to sinks** - Map data flow from source to sink
3. **Classify context** - HTML node, attribute, URL, script block, event handler, JS eval-like, CSS, SVG
4. **Assess defenses** - Output encoding, sanitizer, CSP, Trusted Types, DOMPurify config
5. **Craft payloads** - Minimal payloads per context with encoding/whitespace/casing variants
@@ -195,11 +175,9 @@ Keep a compact set tuned per context:
## Validation
1. Provide minimal payload and context (sink type) with before/after DOM or network evidence
2. Record the original and transformed value when decoding or normalization affects the result
3. Demonstrate cross-browser execution where relevant or explain parser-specific behavior
4. Show bypass of stated defenses (sanitizer settings, CSP/Trusted Types) with proof
5. Separate HTML injection from XSS and state the proven capability
6. Quantify impact beyond alert: data accessed, action performed, persistence achieved
2. Demonstrate cross-browser execution where relevant or explain parser-specific behavior
3. Show bypass of stated defenses (sanitizer settings, CSP/Trusted Types) with proof
4. Quantify impact beyond alert: data accessed, action performed, persistence achieved
## False Positives
@@ -207,8 +185,6 @@ Keep a compact set tuned per context:
- CSP with nonces/hashes and no inline/event handlers
- Trusted Types enforced on sinks; DOMPurify in strict mode with URI allowlists
- Scriptable contexts disabled (no HTML pass-through, safe URL schemes enforced)
- The target does not perform the claimed normalization or decode
- A normalized value is safely encoded before the final sink
## Impact
@@ -231,4 +207,4 @@ Keep a compact set tuned per context:
## Summary
Context, transformation order, and sink decide whether input becomes text, markup, or executable code. Prove HTML injection separately from XSS, and validate every render path. Encode for the exact context and verify at runtime with CSP/Trusted Types. Small payloads with strong evidence beat payload catalogs.
Context + sink decide execution. Encode for the exact context, verify at runtime with CSP/Trusted Types, and validate every alternative render path. Small payloads with strong evidence beat payload catalogs.
+6 -4
View File
@@ -535,8 +535,9 @@ async def create_agent(
success looks like, any constraints. Name the target the
child should call ``get_threat_model`` on, and any shared
state it should build on rather than rediscover — what
recon already mapped, which surfaces are already covered.
A child that is not told what is already known repeats it.
recon already mapped, which surfaces are already covered,
which coverage entry it is picking up. A child that is not
told what is already known repeats it.
inherit_context: Default ``True``. The child receives the
parent's input history as background; only set ``False``
when starting a clean-slate task.
@@ -636,8 +637,9 @@ async def agent_finish(
doing: what did you test, what did you find/confirm/rule out,
what's still open.
**Close out honestly.** Before calling this, anything you could
neither confirm nor rule out belongs in ``open_items`` — an
**Close out honestly.** Before calling this, every surface you
assessed should have a ``record_coverage`` entry, and anything you
could neither confirm nor rule out belongs in ``open_items`` — an
unresolved candidate handed up to the parent is useful, a silently
dropped one is a missed vulnerability. Reporting nothing and
listing no open items asserts the area is clean; only say that if
+1 -5
View File
@@ -29,11 +29,7 @@ async def load_skill(ctx: RunContextWrapper, skills: list[str]) -> str:
if err:
return f"load_skill: {err}"
context = ctx.context if isinstance(ctx.context, dict) else {}
contents = load_skills(
requested,
supports_images=context.get("supports_images", True),
coverage_tools=context.get("coverage_tools", True),
)
contents = load_skills(requested, supports_images=context.get("supports_images", True))
if not contents:
return "load_skill: no content loaded for requested skills."
sections = [f"## Skill: {name}\n\n{body}" for name, body in contents.items()]
+8 -25
View File
@@ -69,15 +69,6 @@ async def _call[T](client: Client, fn: Callable[[Client], Awaitable[T]]) -> T:
return await fn(client)
_REQUEST_EXISTS_QUERY = "query RequestExists($id: ID!) { request(id: $id) { id } }"
_REQUEST_EXISTS_ATTEMPTS = 2
async def _request_exists(client: Client, request_id: str) -> bool:
data = await client.graphql.query(_REQUEST_EXISTS_QUERY, {"id": request_id})
return bool(data) and data.get("request") is not None
async def existing_request_ids(
ctx: RunContextWrapper,
request_ids: list[str],
@@ -90,24 +81,16 @@ async def existing_request_ids(
if client is None:
raise RuntimeError("Caido client is not available")
# Request IDs are not an HTTPQL field, so each one is resolved by id. Only
# the id is selected: pulling the raw request and response bodies just to
# learn whether a row exists is what made this time out on busy projects.
# Request IDs are not an HTTPQL field. Resolve each ID through the same
# project-bound lookup as view_request rather than constructing a filter.
existing: set[str] = set()
for request_id in request_ids:
for attempt in range(1, _REQUEST_EXISTS_ATTEMPTS + 1):
try:
exists = await _call(
client,
functools.partial(_request_exists, request_id=request_id),
)
except Exception:
if attempt == _REQUEST_EXISTS_ATTEMPTS:
raise
continue
if exists:
existing.add(request_id)
break
result = await _call(
client,
functools.partial(caido_api.get_request_with_client, request_id=request_id),
)
if result is not None:
existing.add(str(result.request.id))
return existing
+11 -7
View File
@@ -222,9 +222,9 @@ def _normalize_http_exchange_ids(raw: Any) -> tuple[list[str] | None, list[str]]
return normalized, errors
_HTTP_EXCHANGE_UNVERIFIED_WARNING = (
"http_exchange_ids were stored without verification because the proxy project did "
"not respond in time. Ids that do not exist in the project will not render as evidence."
_HTTP_EXCHANGE_DROPPED_WARNING = (
"http_exchange_ids were not stored: the proxy project could not be reached to verify "
"them. Attach them with update_vulnerability_report when the proxy responds again."
)
@@ -235,9 +235,9 @@ async def _verify_http_exchange_ids(
"""Verify proxy exchange IDs against the current Caido project.
IDs the project does not know are rejected. When the proxy itself cannot be
queried the IDs are kept and a warning is returned instead: a slow or
unreachable proxy must never strip evidence from a finding, and consumers
resolve each id against the recorded traffic before rendering it.
queried the IDs are dropped and a warning is returned instead, so a proxy
outage never blocks a finding and unverified IDs are never recorded as
evidence.
"""
request_ids, errors = _normalize_http_exchange_ids(raw)
if request_ids is None or errors or not request_ids:
@@ -250,7 +250,7 @@ async def _verify_http_exchange_ids(
"Could not verify HTTP exchange IDs against the current Caido project",
exc_info=True,
)
return request_ids, [], _HTTP_EXCHANGE_UNVERIFIED_WARNING
return None, [], _HTTP_EXCHANGE_DROPPED_WARNING
missing_ids = [request_id for request_id in request_ids if request_id not in existing_ids]
if missing_ids:
@@ -1876,6 +1876,10 @@ def _build_dependency_evidence(
evidence += f"\n\n**Usage analysis:** {label}."
if reachability_evidence and reachability_evidence.strip():
evidence += f" {reachability_evidence.strip()}"
evidence += (
" This is a prioritization signal from static analysis, not a"
" proof of exploitability or of safety."
)
return evidence
-88
View File
@@ -80,94 +80,6 @@ async def test_wrap_exec_command_preserves_explicit_shell(shell: str) -> None:
assert json.loads(captured["raw_input"])["shell"] == shell
def _running_exec_tool(result: str) -> FunctionTool:
async def invoke(_ctx: Any, _raw_input: str) -> str:
return result
return FunctionTool(
name="exec_command",
description="Runs a command.",
params_json_schema={"type": "object", "properties": {}},
on_invoke_tool=invoke,
)
_RUNNING_RESULT = (
"Chunk ID: abc123\nWall time: 30.0012 seconds\nProcess running with session ID 7\nOutput:\n"
)
def test_wrap_exec_command_describes_the_yield_cap() -> None:
wrapped = factory._wrap_exec_command(_running_exec_tool("ok"))
assert wrapped.description.startswith("Runs a command. The wait for output is capped at 30 s")
assert "cannot be read later" in wrapped.description
assert "tty=true" in wrapped.description
@pytest.mark.asyncio
async def test_wrap_exec_command_flags_a_running_non_tty_process() -> None:
wrapped = factory._wrap_exec_command(_running_exec_tool(_RUNNING_RESULT))
result = await wrapped.on_invoke_tool(
cast("Any", None), json.dumps({"cmd": "sleep 60; curl x", "yield_time_ms": 90000})
)
assert result == (
"Chunk ID: abc123\nWall time: 30.0012 seconds\n"
"Process running with session ID 7\nOutput:\n"
"Note: yield_time_ms=90000 was capped at 30000 (30 s). this non-TTY process cannot be "
"polled and its later output is lost. Rerun it in the background "
"(`cmd > /tmp/out.log 2>&1 &`, then read the log) or with tty=true.\n"
)
@pytest.mark.asyncio
async def test_wrap_exec_command_flags_a_running_non_tty_process_within_the_cap() -> None:
wrapped = factory._wrap_exec_command(_running_exec_tool(_RUNNING_RESULT))
result = await wrapped.on_invoke_tool(cast("Any", None), json.dumps({"cmd": "sleep 60"}))
assert "Note: this non-TTY process cannot be polled" in result
assert "was capped" not in result
@pytest.mark.asyncio
async def test_wrap_exec_command_leaves_a_running_tty_process_alone() -> None:
wrapped = factory._wrap_exec_command(_running_exec_tool(_RUNNING_RESULT))
result = await wrapped.on_invoke_tool(
cast("Any", None), json.dumps({"cmd": "python3 -m http.server", "tty": True})
)
assert result == _RUNNING_RESULT
@pytest.mark.asyncio
async def test_wrap_exec_command_leaves_an_exited_process_alone() -> None:
exited = "Chunk ID: abc123\nWall time: 0.1 seconds\nProcess exited with code 0\nOutput:\nhi"
wrapped = factory._wrap_exec_command(_running_exec_tool(exited))
result = await wrapped.on_invoke_tool(cast("Any", None), json.dumps({"cmd": "echo hi"}))
assert result == exited
@pytest.mark.asyncio
async def test_wrap_exec_command_ignores_the_running_marker_inside_command_output() -> None:
exited = (
"Chunk ID: abc123\nWall time: 0.2 seconds\nProcess exited with code 0\nOutput:\n"
"Process running with session ID 7\nOutput:\n"
)
wrapped = factory._wrap_exec_command(_running_exec_tool(exited))
result = await wrapped.on_invoke_tool(
cast("Any", None), json.dumps({"cmd": "cat transcript.txt"})
)
assert result == exited
@pytest.mark.asyncio
async def test_responses_filesystem_custom_tool_output_is_bounded() -> None:
async def invoke(_ctx: Any, _inp: str) -> str:
+3 -21
View File
@@ -38,26 +38,11 @@ async def _roundtrip(
_STRING = {"todos": {"type": "string"}}
@pytest.mark.asyncio
async def test_truncated_arguments_short_circuit_with_a_reissue_message() -> None:
captured: dict[str, str] = {}
wrapped = factory._with_coerced_arguments(_capturing_tool(captured, _STRING))
result = await wrapped.on_invoke_tool(cast("Any", None), '{"todos": "a, b')
assert "not executed" in result
assert "Re-issue the call" in result
assert "raw_input" not in captured
_ARRAY = {"tags": {"type": "array", "items": {"type": "string"}}}
_NULLABLE_ARRAY = {
"tags": {"anyOf": [{"type": "array", "items": {"type": "string"}}, {"type": "null"}]}
}
_OBJECT = {"modifications": {"type": "object"}}
OVER_NESTED = '{"a":' + "[" * 100_000
@pytest.mark.asyncio
@@ -151,15 +136,12 @@ async def test_unknown_and_null_arguments_are_untouched() -> None:
@pytest.mark.asyncio
@pytest.mark.parametrize("arguments", ["not json", '{"n": NaN}', OVER_NESTED])
async def test_non_object_payloads_are_reported_instead_of_invoked(arguments: str) -> None:
async def test_non_object_payloads_pass_through_unchanged() -> None:
captured: dict[str, str] = {}
wrapped = factory._with_coerced_arguments(_capturing_tool(captured, _ARRAY))
result = await wrapped.on_invoke_tool(cast("Any", None), arguments)
assert result.startswith("probe: the tool call was not executed")
assert "raw_input" not in captured
assert await wrapped.on_invoke_tool(cast("Any", None), "not json") == "ok"
assert captured["raw_input"] == "not json"
@pytest.mark.asyncio
-45
View File
@@ -93,51 +93,6 @@ def test_per_call_extra_tools_reject_duplicate_registered_names() -> None:
factory.build_strix_agent(is_root=True, extra_tools=[_tool("same_name")])
def test_report_tool_replaces_create_vulnerability_report() -> None:
for is_root in (True, False):
agent = factory.build_strix_agent(is_root=is_root, report_tool=_tool("file_pr_finding"))
names = [t.name for t in agent.tools]
assert "file_pr_finding" in names
assert "create_vulnerability_report" not in names
assert isinstance(agent.instructions, str)
assert "file_pr_finding" in agent.instructions
assert "create_vulnerability_report" not in agent.instructions
def _descriptions(tools: list[Any]) -> list[str]:
return [t.description for t in tools if isinstance(t, FunctionTool)]
def test_coverage_tools_can_be_turned_off() -> None:
coverage = {"record_coverage", "update_coverage", "list_coverage"}
for is_root in (True, False):
on = factory.build_strix_agent(is_root=is_root, is_whitebox=True)
off = factory.build_strix_agent(is_root=is_root, is_whitebox=True, coverage_tools=False)
assert coverage <= {t.name for t in on.tools}
assert not coverage & {t.name for t in off.tools}
assert isinstance(on.instructions, str)
assert isinstance(off.instructions, str)
assert "- COVERAGE" in on.instructions
assert "## Recording Closure" in on.instructions
assert not any(name in off.instructions for name in coverage)
on_descriptions = "\n".join(_descriptions(on.tools))
off_descriptions = "\n".join(_descriptions(off.tools))
if is_root:
assert "Coverage reconciliation" in on_descriptions
assert "Coverage reconciliation" not in off_descriptions
assert not any(name in off_descriptions for name in coverage)
diff_on = factory.build_strix_agent(is_root=True, is_diff_scoped=True)
diff_off = factory.build_strix_agent(is_root=True, is_diff_scoped=True, coverage_tools=False)
assert isinstance(diff_on.instructions, str)
assert isinstance(diff_off.instructions, str)
assert "Record coverage per changed component" in diff_on.instructions
assert "`needs_follow_up` coverage" in diff_on.instructions
assert "Record coverage per changed component" not in diff_off.instructions
assert "`needs_follow_up` coverage" not in diff_off.instructions
assert not any(name in diff_off.instructions for name in coverage)
def test_instructions_override_is_used_verbatim() -> None:
custom = "You are a scan agent. Follow the provided scope."
+3 -146
View File
@@ -21,7 +21,7 @@ from strix.core.sessions import open_agent_session
if TYPE_CHECKING:
from collections.abc import AsyncIterator, Awaitable, Callable
from collections.abc import AsyncIterator, Callable
from pathlib import Path
@@ -31,7 +31,6 @@ _CALL_LATENCY_S = 0.005
class _FakeLedger:
def __init__(self) -> None:
self.on_pause: Callable[[], Awaitable[None]] | None = None
self.cost = 0.0
self.calls: list[str] = []
self.remaining: dict[str, int] = {}
@@ -81,8 +80,6 @@ class _FakeStream:
await self._hooks.on_llm_start(ctx_wrapper, self._agent, None, input_items)
except BudgetPausedError as exc:
self.run_loop_exception = exc
if self._ledger.on_pause is not None:
await self._ledger.on_pause()
return
self._ledger.warned_inputs.append(input_items)
if self._ledger.gate is not None:
@@ -153,16 +150,13 @@ class _Scan:
monkeypatch: pytest.MonkeyPatch,
*,
max_budget_usd: float | None,
budget_policy: str = "pause",
) -> None:
self.ledger = _FakeLedger()
self.hooks = ReportUsageHooks(
model="test-model",
max_budget_usd=max_budget_usd,
budget_policy=budget_policy, # type: ignore[arg-type]
model="test-model", max_budget_usd=max_budget_usd, budget_policy="pause"
)
self.coordinator = AgentCoordinator()
self.coordinator.set_budget_policy(budget_policy) # type: ignore[arg-type]
self.coordinator.set_budget_policy("pause")
self.coordinator.set_budget_limit_setter(self.hooks.set_max_budget_usd)
monkeypatch.setattr(execution, "Runner", _fake_runner(self.ledger, self.coordinator))
monkeypatch.setattr(execution, "_compact_session", _noop_compact)
@@ -544,140 +538,3 @@ async def test_stop_policy_is_unchanged() -> None:
def test_budget_policy_is_validated() -> None:
with pytest.raises(ValueError, match="budget_policy"):
ReportUsageHooks(model="m", budget_policy="later") # type: ignore[arg-type]
def _pause_flags(coordinator: AgentCoordinator) -> tuple[bool, bool]:
return coordinator.budget_paused, coordinator.operator_paused
@pytest.mark.asyncio
async def test_operator_pause_holds_under_the_stop_policy(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
scan = _Scan(tmp_path, monkeypatch, max_budget_usd=None, budget_policy="stop")
agents = ("root", "child-a", "child-b")
with patch("strix.core.hooks.get_global_report_state", return_value=scan.ledger):
await scan.start_root(calls=6)
await scan.start_child("child-a", calls=6)
await scan.start_child("child-b", calls=6)
await _wait_until(lambda: scan.ledger.cost >= 3.0)
await scan.coordinator.pause_budget()
spent_at_pause = scan.ledger.cost
await _wait_until(lambda: _all_parked(scan.coordinator, *agents))
assert _pause_flags(scan.coordinator) == (True, True)
assert all(not task.done() for task in scan.tasks())
await scan.coordinator.send("child-a", {"from": "root", "content": "status?"})
await scan.coordinator.send("root", {"from": "user", "content": "keep going"})
await asyncio.sleep(0.05)
assert _pause_flags(scan.coordinator) == (True, True)
assert scan.ledger.cost == pytest.approx(spent_at_pause)
assert _all_parked(scan.coordinator, *agents)
woken = await scan.coordinator.resume_budget()
assert sorted(woken) == sorted(agents)
assert _pause_flags(scan.coordinator) == (False, False)
await asyncio.wait_for(asyncio.gather(*scan.tasks(), return_exceptions=True), timeout=5.0)
assert scan.ledger.cost == pytest.approx(18.0)
assert {aid: str(s) for aid, s in scan.coordinator.statuses.items()} == {
"root": "completed",
"child-a": "completed",
"child-b": "completed",
}
root_items = await scan.sessions[0].get_items()
assert any("keep going" in str(item) for item in root_items)
for session in scan.sessions:
session.close()
@pytest.mark.asyncio
async def test_a_resume_that_lands_before_the_park_still_continues(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
scan = _Scan(tmp_path, monkeypatch, max_budget_usd=None, budget_policy="stop")
resumed = 0
async def resume_at_once() -> None:
nonlocal resumed
resumed += 1
await scan.coordinator.resume_budget()
scan.ledger.on_pause = resume_at_once
with patch("strix.core.hooks.get_global_report_state", return_value=scan.ledger):
await scan.start_root(calls=6)
await scan.start_child("child-a", calls=6)
await _wait_until(lambda: scan.ledger.cost >= 2.0)
await scan.coordinator.pause_budget()
await asyncio.wait_for(asyncio.gather(*scan.tasks(), return_exceptions=True), timeout=5.0)
assert resumed >= 1
assert _pause_flags(scan.coordinator) == (False, False)
assert scan.ledger.cost == pytest.approx(12.0)
assert {aid: str(s) for aid, s in scan.coordinator.statuses.items()} == {
"root": "completed",
"child-a": "completed",
}
for session in scan.sessions:
session.close()
@pytest.mark.asyncio
async def test_operator_pause_gates_the_stop_policy_hooks() -> None:
coordinator = AgentCoordinator()
hooks = ReportUsageHooks(model="m", max_budget_usd=None)
assert hooks.budget_policy == "stop"
await coordinator.pause_budget()
with pytest.raises(BudgetPausedError):
await hooks.on_llm_start(_ctx(coordinator), MagicMock(), None, [])
await coordinator.resume_budget()
await hooks.on_llm_start(_ctx(coordinator), MagicMock(), None, [])
@pytest.mark.asyncio
async def test_a_user_message_lifts_only_the_limit_pause(tmp_path: Path) -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
session = open_agent_session("root", tmp_path / "agents.db")
await coordinator.attach_runtime("root", session=session)
extensions: list[int] = []
coordinator.set_budget_extender(lambda: extensions.append(1))
await coordinator.pause_budget()
await coordinator.park_for_budget("root")
assert coordinator.statuses["root"] == "budget_paused"
await coordinator.send("root", {"from": "user", "content": "keep going"})
assert _pause_flags(coordinator) == (True, True)
assert extensions == []
assert coordinator.pending_counts["root"] == 1
await coordinator.resume_budget()
await coordinator.pause_for_budget("root")
await coordinator.send("root", {"from": "user", "content": "keep going"})
assert _pause_flags(coordinator) == (False, False)
assert extensions == [1]
session.close()
@pytest.mark.asyncio
async def test_snapshot_and_reset_keep_an_operator_pause() -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.pause_budget()
snap = await coordinator.snapshot()
restored = AgentCoordinator()
await restored.restore(snap)
assert _pause_flags(restored) == (True, True)
await restored.reset_budget_stops(budget_stopped=False, reserve_stopped=False)
assert _pause_flags(restored) == (True, True)
await restored.resume_budget()
await restored.pause_for_budget("root")
await restored.reset_budget_stops(budget_stopped=False, reserve_stopped=False)
assert _pause_flags(restored) == (False, False)
assert restored.statuses["root"] == "waiting"
+2 -9
View File
@@ -147,9 +147,7 @@ def _patch_budget(monkeypatch: pytest.MonkeyPatch, *, keep_tokens: int, window:
context.auto_compact = True
settings = SimpleNamespace(
context=context,
llm=SimpleNamespace(
api_key=None, api_base=None, timeout=1, extra_headers=None, extra_body=None
),
llm=SimpleNamespace(api_key=None, api_base=None, timeout=1, extra_headers=None),
)
monkeypatch.setattr(compaction, "load_settings", lambda: settings)
@@ -230,11 +228,7 @@ async def test_summarize_routes_through_provider_with_settings(
"load_settings",
lambda: SimpleNamespace(
llm=SimpleNamespace(
api_key=None,
api_base=None,
timeout=1,
extra_headers={"X-Feature-Key": "svc"},
extra_body={"service_tier": "flex"},
api_key=None, api_base=None, timeout=1, extra_headers={"X-Feature-Key": "svc"}
)
),
)
@@ -245,7 +239,6 @@ async def test_summarize_routes_through_provider_with_settings(
assert captured["model"] == "litellm/openai/some-model"
settings = captured["model_settings"]
assert settings.extra_headers == {"X-Feature-Key": "svc"}
assert settings.extra_body == {"service_tier": "flex"}
assert settings.max_tokens == 64
-57
View File
@@ -37,12 +37,6 @@ _LLM_ENV_KEYS = [
"STRIX_RUNTIME_BACKEND",
# TelemetrySettings
"STRIX_TELEMETRY",
# JSON-object settings
"LLM_EXTRA_HEADERS",
"LLM_EXTRA_BODY",
"STRIX_DEDUPE_MODEL",
"DEDUPE_LLM_EXTRA_HEADERS",
"DEDUPE_LLM_EXTRA_BODY",
]
@@ -412,57 +406,6 @@ def test_persist_current_replaces_corrupt_file(
assert json.loads(target.read_text(encoding="utf-8")) == {"env": {"STRIX_LLM": "env-model"}}
@pytest.mark.parametrize(
("env_var", "section", "field"),
[
("LLM_EXTRA_HEADERS", "llm", "extra_headers"),
("LLM_EXTRA_BODY", "llm", "extra_body"),
("DEDUPE_LLM_EXTRA_HEADERS", "dedupe", "extra_headers"),
("DEDUPE_LLM_EXTRA_BODY", "dedupe", "extra_body"),
],
)
def test_persisted_json_object_setting_reloads_without_env(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch, env_var: str, section: str, field: str
) -> None:
loader.apply_config_override(tmp_path / "cli-config.json")
monkeypatch.setenv(env_var, '{"X-Tenant": "acme"}')
loader.load_settings()
loader.persist_current()
monkeypatch.delenv(env_var)
loader.apply_config_override(tmp_path / "cli-config.json")
settings = loader.load_settings()
assert getattr(getattr(settings, section), field) == {"X-Tenant": "acme"}
def test_json_object_setting_saved_as_object_still_loads(tmp_path: Path) -> None:
target = tmp_path / "cli-config.json"
target.write_text(
json.dumps({"env": {"LLM_EXTRA_BODY": {"service_tier": "flex"}}}), encoding="utf-8"
)
loader.apply_config_override(target)
assert loader.load_settings().llm.extra_body == {"service_tier": "flex"}
def test_invalid_saved_json_object_setting_is_rejected(tmp_path: Path) -> None:
target = tmp_path / "cli-config.json"
target.write_text(json.dumps({"env": {"LLM_EXTRA_BODY": "not json"}}), encoding="utf-8")
loader.apply_config_override(target)
with pytest.raises(ValidationError):
loader.load_settings()
def test_saved_string_setting_is_not_json_decoded(tmp_path: Path) -> None:
target = tmp_path / "cli-config.json"
target.write_text(json.dumps({"env": {"STRIX_LLM": '{"not": "decoded"}'}}), encoding="utf-8")
loader.apply_config_override(target)
assert loader.load_settings().llm.model == '{"not": "decoded"}'
def test_persist_current_sets_0600_mode(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("STRIX_LLM", "persisted-model")
target = tmp_path / "cli-config.json"
-74
View File
@@ -4,7 +4,6 @@ from __future__ import annotations
import json
import uuid
from datetime import UTC, datetime, timedelta
from types import SimpleNamespace
from typing import TYPE_CHECKING, Any
from unittest.mock import MagicMock, call, patch
@@ -19,13 +18,11 @@ from strix.config.models import (
_configure_litellm_compatibility,
_install_openrouter_stream_cost_capture,
)
from strix.core.hooks import ReportUsageHooks
from strix.llm import request_log
from strix.report.state import (
ReportState,
litellm_cost_callback,
openrouter_stream_cost,
record_llm_request,
set_global_report_state,
streamed_openrouter_costs,
)
@@ -139,7 +136,6 @@ def test_cost_callback_estimates_cost_with_provider_prefixed_model() -> None:
with (
patch("strix.report.state.get_global_report_state", return_value=report_state),
patch("strix.report.state.resolve_litellm_model", side_effect=lambda model: model),
patch("litellm.completion_cost", side_effect=fake_completion_cost),
):
litellm_cost_callback(kwargs, response)
@@ -458,73 +454,3 @@ def test_openrouter_records_upstream_of_pre_stream_error() -> None:
request_log._http_reply.reset(token)
assert reply.upstream_provider == "InferenceNet"
assert reply.upstream_error_type is None
def test_request_timings_land_in_run_record() -> None:
started = datetime(2026, 10, 19, 12, 0, tzinfo=UTC)
event = request_log.LlmRequestEvent(
call_id="call-1",
route="litellm",
provider="openrouter",
model="openrouter/deepseek/deepseek-v4.1-flash",
api_host="openrouter.ai",
streaming=True,
outcome="success",
status_code=200,
provider_request_id=None,
response_id="gen-1",
error_type=None,
error_message=None,
started_at=started,
finished_at=started + timedelta(milliseconds=4200),
duration_ms=4200,
input_tokens=90_000,
output_tokens=600,
cached_input_tokens=85_000,
agent_id="agent-1",
time_to_first_token_ms=900,
details={"upstream_provider": "Together"},
)
state = ReportState.__new__(ReportState)
state.run_record = {}
try:
set_global_report_state(state)
record_llm_request(event)
finally:
set_global_report_state(None)
assert state.run_record["llm_requests"] == [
{
"started_at": "2026-10-19T12:00:00+00:00",
"agent_id": "agent-1",
"model": "openrouter/deepseek/deepseek-v4.1-flash",
"provider": "Together",
"outcome": "success",
"status": 200,
"duration_ms": 4200,
"ttft_ms": 900,
"input_tokens": 90_000,
"cached_tokens": 85_000,
"output_tokens": 600,
"retry_attempt": 0,
}
]
async def test_tool_call_timings_land_in_run_record() -> None:
hooks = ReportUsageHooks(model="m", record_tool_timings=True)
context = SimpleNamespace(tool_call_id="call-1", context={"agent_id": "agent-1"})
tool = SimpleNamespace(name="terminal_execute")
state = ReportState.__new__(ReportState)
state.run_record = {}
try:
set_global_report_state(state)
await hooks.on_tool_start(context, MagicMock(), tool) # type: ignore[arg-type]
await hooks.on_tool_end(context, MagicMock(), tool, "ok") # type: ignore[arg-type]
finally:
set_global_report_state(None)
[entry] = state.run_record["tool_calls"]
assert entry["agent_id"] == "agent-1"
assert entry["tool"] == "terminal_execute"
assert entry["duration_ms"] >= 0
@@ -1,22 +0,0 @@
"""The root agent must follow up open coverage rows before finishing."""
from __future__ import annotations
import pytest
from strix.agents.prompt import render_system_prompt
_FOLLOW_UP = 'calls `list_coverage(outcome="needs_follow_up")` and follows up every row it returns'
_KEEP_GENUINE_GAPS = "stays `needs_follow_up` only when it is genuinely blocked"
@pytest.mark.parametrize("scan_mode", ["quick", "standard", "deep"])
@pytest.mark.parametrize("is_whitebox", [False, True])
@pytest.mark.parametrize("is_root", [False, True])
def test_prompt_follows_up_open_coverage(scan_mode: str, is_whitebox: bool, is_root: bool) -> None:
prompt = render_system_prompt(scan_mode=scan_mode, is_whitebox=is_whitebox, is_root=is_root)
assert prompt
assert _FOLLOW_UP in prompt
assert _KEEP_GENUINE_GAPS in prompt
-39
View File
@@ -148,42 +148,3 @@ def test_config_file_loads_dedupe_model(
assert settings.dedupe.reasoning_effort == "minimal"
# Main model stays independent of the dedupe override.
assert settings.llm.model == "openai/root"
def test_dedicated_dedupe_model_uses_own_body_fields_not_main(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setenv("LLM_EXTRA_BODY", json.dumps({"safety_identifier": "main"}))
loader._cached = None
try:
dedupe = DedupeSettings(
STRIX_DEDUPE_MODEL="deepseek/cheap",
DEDUPE_LLM_EXTRA_BODY={"service_tier": "flex"},
)
settings = _dedupe_model_settings(dedupe, "deepseek/cheap", 300)
assert settings.extra_body == {"service_tier": "flex"}
finally:
loader._cached = None
def test_dedicated_dedupe_model_gets_no_main_body_fields_by_default(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setenv("LLM_EXTRA_BODY", json.dumps({"safety_identifier": "main"}))
loader._cached = None
try:
dedupe = DedupeSettings(STRIX_DEDUPE_MODEL="deepseek/cheap")
settings = _dedupe_model_settings(dedupe, "deepseek/cheap", 300)
assert settings.extra_body is None
finally:
loader._cached = None
def test_fallback_dedupe_inherits_main_body_fields(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("LLM_EXTRA_BODY", json.dumps({"safety_identifier": "main"}))
loader._cached = None
try:
settings = _dedupe_model_settings(DedupeSettings(), "openai/main-model", 300)
assert settings.extra_body == {"safety_identifier": "main"}
finally:
loader._cached = None
-316
View File
@@ -1,316 +0,0 @@
from __future__ import annotations
import asyncio
import io
from dataclasses import dataclass
from pathlib import Path
from typing import TYPE_CHECKING, Any
import pytest
from agents.run_config import SandboxRunConfig
from agents.sandbox import SandboxAgent
from agents.sandbox.capabilities import Filesystem, Shell
from agents.sandbox.runtime_session_manager import SandboxRuntimeSessionManager
from strix.runtime import session_manager
from strix.runtime.backends import _BACKENDS, _BIND_MOUNT_BACKENDS, register_backend
from strix.runtime.deferred_session import DeferredSandboxClient, DeferredSandboxSession
if TYPE_CHECKING:
from collections.abc import Iterator
@dataclass
class _RuntimeSettings:
backend: str
@dataclass
class _Settings:
runtime: _RuntimeSettings
@dataclass
class _Endpoint:
host: str = "127.0.0.1"
port: int = 8080
tls: bool = False
@dataclass
class _ExecResult:
exit_code: int = 0
stdout: bytes = b""
stderr: bytes = b""
def ok(self) -> bool:
return self.exit_code == 0
class _State:
def __init__(self) -> None:
self.manifest: Any = None
self.session_id = "00000000-0000-4000-8000-000000000001"
def model_copy(self, *, update: dict[str, Any]) -> _State:
copy = _State()
copy.manifest = update.get("manifest", self.manifest)
return copy
class _Session:
def __init__(self) -> None:
self.state = _State()
self.execs: list[tuple[str, ...]] = []
self.writes: list[tuple[Path, bytes]] = []
self.limits: list[Any] = []
def _set_concurrency_limits(self, limits: Any) -> None:
self.limits.append(limits)
def _set_archive_limits(self, limits: Any) -> None:
self.limits.append(limits)
async def running(self) -> bool:
return True
async def resolve_exposed_port(self, _port: int) -> _Endpoint:
return _Endpoint()
async def exec(self, *argv: str, timeout: float | None = None, **_kw: Any) -> _ExecResult:
del timeout
self.execs.append(argv)
return _ExecResult()
async def write(self, path: Path, data: io.IOBase, **_kw: Any) -> None:
self.writes.append((path, data.read()))
class _Client:
def __init__(self) -> None:
self.deleted: list[Any] = []
async def delete(self, session: Any) -> None:
self.deleted.append(session)
async def _no_caido(*_args: Any, **_kwargs: Any) -> None:
return None
class _Backend:
def __init__(self, *, fail: bool = False) -> None:
self.gate = asyncio.Event()
self.calls = 0
self.fail = fail
self.client = _Client()
self.session = _Session()
async def __call__(self, **_kwargs: Any) -> tuple[Any, Any]:
self.calls += 1
await self.gate.wait()
if self.fail:
raise RuntimeError("bring-up exploded")
return self.client, self.session
@pytest.fixture
def backend(monkeypatch: pytest.MonkeyPatch, request: pytest.FixtureRequest) -> Iterator[_Backend]:
name = f"deferred-{request.node.name}"
fake = _Backend(fail="fail" in request.node.name)
register_backend(name, fake, supports_bind_mounts=True)
monkeypatch.setattr(session_manager, "bootstrap_caido", _no_caido)
monkeypatch.setattr(
session_manager, "load_settings", lambda: _Settings(runtime=_RuntimeSettings(backend=name))
)
yield fake
_BACKENDS.pop(name, None)
_BIND_MOUNT_BACKENDS.discard(name)
async def _settle() -> None:
for _ in range(10):
await asyncio.sleep(0)
async def _create(scan_id: str, **kwargs: Any) -> dict[str, Any]:
return await session_manager.create_or_reuse(
scan_id, image="img", local_sources=[], defer=True, **kwargs
)
@pytest.mark.asyncio
async def test_deferred_bundle_returns_before_the_backend_finishes(backend: _Backend) -> None:
scan_id = "deferred-returns"
try:
bundle = await asyncio.wait_for(_create(scan_id), timeout=1)
session = bundle["session"]
assert isinstance(session, DeferredSandboxSession)
assert isinstance(bundle["client"], DeferredSandboxClient)
assert session.pending
await _settle()
assert backend.calls == 1
assert await session.running()
assert session.state.manifest.environment.value["PYTHONUNBUFFERED"] == "1"
again = await session_manager.create_or_reuse(scan_id, image="img", local_sources=[])
assert again is bundle
assert backend.calls == 1
finally:
await session_manager.cleanup(scan_id)
@pytest.mark.asyncio
async def test_first_io_resolves_the_sandbox_then_delegates(backend: _Backend) -> None:
scan_id = "deferred-io"
try:
bundle = await _create(scan_id)
session = bundle["session"]
session._set_concurrency_limits("limits")
exec_task = asyncio.create_task(session.exec("echo", "hi"))
await asyncio.sleep(0.05)
assert not exec_task.done()
backend.gate.set()
result = await asyncio.wait_for(exec_task, timeout=1)
assert result.ok()
assert backend.session.execs == [("echo", "hi")]
assert not session.pending
assert backend.session.limits == ["limits"]
assert backend.session.state.manifest is session.state.manifest
await session.write(Path("/workspace/x"), io.BytesIO(b"data"))
assert backend.session.writes == [(Path("/workspace/x"), b"data")]
finally:
await session_manager.cleanup(scan_id)
assert backend.client.deleted == [backend.session]
@pytest.mark.asyncio
async def test_failed_bring_up_surfaces_on_first_io(backend: _Backend) -> None:
scan_id = "deferred-fail"
try:
bundle = await _create(scan_id)
session = bundle["session"]
backend.gate.set()
with pytest.raises(RuntimeError, match="bring-up exploded"):
await asyncio.wait_for(session.exec("true"), timeout=1)
assert not await session.running()
with pytest.raises(RuntimeError, match="bring-up exploded"):
await bundle["caido_client"].get()
finally:
await session_manager.cleanup(scan_id)
assert backend.client.deleted == []
@pytest.mark.asyncio
async def test_cleanup_while_pending_cancels_the_bring_up(backend: _Backend) -> None:
scan_id = "deferred-cancel"
bundle = await _create(scan_id)
session = bundle["session"]
await asyncio.wait_for(session_manager.cleanup(scan_id), timeout=1)
assert session.bring_up.cancelled()
assert backend.client.deleted == []
assert session_manager._SESSION_CACHE.get(scan_id) is None
backend.gate.set()
await _settle()
assert backend.client.deleted == [backend.session]
@pytest.mark.asyncio
async def test_cleanup_while_pending_ignores_a_failed_late_bring_up(backend: _Backend) -> None:
scan_id = "deferred-cancel-fail"
await _create(scan_id)
await asyncio.wait_for(session_manager.cleanup(scan_id), timeout=1)
backend.gate.set()
await _settle()
assert backend.client.deleted == []
@pytest.mark.asyncio
async def test_extra_files_are_staged_inside_the_deferred_bring_up(backend: _Backend) -> None:
scan_id = "deferred-extra"
try:
bundle = await _create(
scan_id,
extra_files=[{"workspace_path": "/workspace/.strix/notes.md", "content": "hi"}],
)
assert backend.session.writes == []
backend.gate.set()
await asyncio.wait_for(bundle["session"].resolve(), timeout=1)
assert len(backend.session.writes) == 1
assert backend.session.execs
finally:
await session_manager.cleanup(scan_id)
@pytest.mark.asyncio
async def test_awaitable_extra_files_do_not_delay_the_backend_call(backend: _Backend) -> None:
scan_id = "deferred-extra-awaitable"
files: asyncio.Future[list[dict[str, Any]] | None] = asyncio.get_running_loop().create_future()
try:
bundle = await _create(scan_id, extra_files=files)
backend.gate.set()
await _settle()
assert backend.calls == 1
assert backend.session.writes == []
files.set_result([{"workspace_path": "/workspace/.strix/notes.md", "content": "hi"}])
await asyncio.wait_for(bundle["session"].resolve(), timeout=1)
assert len(backend.session.writes) == 1
finally:
await session_manager.cleanup(scan_id)
@pytest.mark.asyncio
async def test_awaitable_extra_files_resolving_to_none_stage_nothing(backend: _Backend) -> None:
scan_id = "deferred-extra-none"
async def _nothing() -> list[dict[str, Any]] | None:
return None
try:
bundle = await _create(scan_id, extra_files=_nothing())
backend.gate.set()
await asyncio.wait_for(bundle["session"].resolve(), timeout=1)
assert backend.session.writes == []
finally:
await session_manager.cleanup(scan_id)
@pytest.mark.asyncio
async def test_default_path_still_blocks_until_the_sandbox_is_up(backend: _Backend) -> None:
scan_id = "deferred-off"
backend.gate.set()
try:
bundle = await session_manager.create_or_reuse(scan_id, image="img", local_sources=[])
assert bundle["session"] is backend.session
assert bundle["client"] is backend.client
finally:
await session_manager.cleanup(scan_id)
assert backend.client.deleted == [backend.session]
@pytest.mark.asyncio
async def test_sdk_session_prep_does_not_wait_for_the_bring_up(backend: _Backend) -> None:
scan_id = "deferred-sdk-prep"
try:
bundle = await _create(scan_id)
agent = SandboxAgent(
name="root", instructions="x", tools=[], capabilities=[Filesystem(), Shell()]
)
manager = SandboxRuntimeSessionManager(
starting_agent=agent,
sandbox_config=SandboxRunConfig(client=bundle["client"], session=bundle["session"]),
run_state=None,
)
session = await asyncio.wait_for(
manager.ensure_session(
agent=agent, capabilities=list(agent.capabilities), is_resumed_state=False
),
timeout=1,
)
assert session is bundle["session"]
assert session.pending
backend.gate.set()
await asyncio.wait_for(session.resolve(), timeout=1)
assert not session.pending
finally:
await session_manager.cleanup(scan_id)
-32
View File
@@ -1,32 +0,0 @@
"""``STRIX_DOCKER_SANDBOX_DEVICES`` passes host devices through to the sandbox container."""
from __future__ import annotations
from typing import TYPE_CHECKING
from strix.runtime import docker_client
if TYPE_CHECKING:
import pytest
def test_unset_adds_no_devices(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.delenv(docker_client._SANDBOX_DEVICES_ENV, raising=False)
kwargs: dict[str, object] = {}
docker_client._apply_sandbox_devices(kwargs)
assert kwargs == {}
def test_devices_are_mapped_to_the_same_path_rwm(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv(docker_client._SANDBOX_DEVICES_ENV, " /dev/net/tun, /dev/kvm ,,")
kwargs: dict[str, object] = {}
docker_client._apply_sandbox_devices(kwargs)
assert kwargs["devices"] == ["/dev/net/tun:/dev/net/tun:rwm", "/dev/kvm:/dev/kvm:rwm"]
def test_existing_devices_are_kept_and_not_duplicated(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv(docker_client._SANDBOX_DEVICES_ENV, "/dev/fuse,/dev/net/tun")
kwargs: dict[str, object] = {"devices": ["/dev/fuse"]}
docker_client._apply_sandbox_devices(kwargs)
assert kwargs["devices"] == ["/dev/fuse", "/dev/net/tun:/dev/net/tun:rwm"]
-27
View File
@@ -507,30 +507,3 @@ def test_recomputed_budget_flags(
expected: tuple[bool, bool],
) -> None:
assert recomputed_budget_flags(cost, max_budget, interactive=interactive) == expected
@pytest.mark.asyncio
async def test_turn_limit_warns_ten_before_and_repeats_past_it() -> None:
hooks = ReportUsageHooks(model="test-model")
noticed = []
for requests in range(40):
ctx = _make_warn_context(requests=requests, parent_id="root-1")
ctx.context["turn_limit"] = 25
items: list[Any] = []
await hooks.on_llm_start(ctx, MagicMock(), None, items)
if items:
noticed.append((requests + 1, items[0]["content"]))
assert [turn for turn, _ in noticed] == [15, 25, 30, 35, 40]
assert "15 of your 25-turn limit" in noticed[0][1]
assert "past your 25-turn limit" in noticed[1][1]
@pytest.mark.asyncio
async def test_no_turn_limit_no_notice() -> None:
hooks = ReportUsageHooks(model="test-model")
items: list[Any] = []
await hooks.on_llm_start(
_make_warn_context(requests=14, parent_id="root-1"), MagicMock(), None, items
)
assert items == []
-58
View File
@@ -314,12 +314,6 @@ def test_make_model_settings_disables_parallel_tool_calls_by_default() -> None:
assert make_model_settings("none", model_name="gpt-4o").parallel_tool_calls is False
def test_make_model_settings_enables_parallel_tool_calls_when_requested() -> None:
settings = make_model_settings("none", model_name="gpt-4o", parallel_tool_calls=True)
assert settings.parallel_tool_calls is True
def test_make_model_settings_omits_parallel_tool_calls_without_tools() -> None:
settings = make_model_settings("none", model_name="gpt-4o", has_tools=False)
@@ -367,58 +361,6 @@ def test_make_model_settings_extra_headers_survive_reasoning_resolve() -> None:
assert settings.extra_headers == {"X-Feature-Key": "svc"}
def test_make_model_settings_sets_extra_body() -> None:
settings = make_model_settings(
"none",
model_name="openai/gpt-5",
extra_body={"service_tier": "flex", "safety_identifier": "user-hash"},
)
assert settings.extra_body == {"service_tier": "flex", "safety_identifier": "user-hash"}
def test_make_model_settings_omits_extra_body_when_unset() -> None:
assert make_model_settings("none", model_name="gpt-4o").extra_body is None
def test_make_model_settings_extra_body_survives_reasoning_resolve() -> None:
settings = make_model_settings(
"high",
model_name="openai/o3",
extra_body={"service_tier": "flex"},
)
assert settings.extra_body == {"service_tier": "flex"}
def test_make_model_settings_extra_body_merges_with_max_reasoning_field() -> None:
settings = make_model_settings(
"max",
model_name="deepseek/deepseek-v4-flash",
extra_body={"safety_identifier": "user-hash"},
)
assert settings.extra_body == {"safety_identifier": "user-hash", "reasoning_effort": "max"}
def test_make_model_settings_max_reasoning_overrides_extra_body_reasoning_field() -> None:
settings = make_model_settings(
"max",
model_name="deepseek/deepseek-v4-flash",
extra_body={"reasoning_effort": "low"},
)
assert settings.extra_body == {"reasoning_effort": "max"}
def test_make_model_settings_does_not_mutate_caller_extra_body() -> None:
extra_body = {"safety_identifier": "user-hash"}
make_model_settings("max", model_name="deepseek/deepseek-v4-flash", extra_body=extra_body)
assert extra_body == {"safety_identifier": "user-hash"}
def test_make_model_settings_timeout_survives_reasoning_resolve() -> None:
# Reasoning is resolved via ModelSettings.resolve(); the timeout in extra_args
# must not be dropped when a reasoning override is merged in.
-97
View File
@@ -1,97 +0,0 @@
"""Tests for LLM_EXTRA_BODY: extra fields merged into every LLM request body."""
from __future__ import annotations
import json
from typing import TYPE_CHECKING, Any
import httpx
import litellm
import openai
import pytest
from agents.extensions.models.litellm_model import LitellmModel
from agents.models.interface import ModelTracing
from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel
from agents.models.openai_responses import OpenAIResponsesModel
from strix.config import loader
from strix.config.loader import load_settings
from strix.core.inputs import make_model_settings
if TYPE_CHECKING:
from collections.abc import Iterator
from agents.models.interface import Model
_EXTRA_BODY = {"service_tier": "flex", "safety_identifier": "user-hash"}
@pytest.fixture(autouse=True)
def _reset(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
monkeypatch.delenv("LLM_EXTRA_BODY", raising=False)
monkeypatch.setattr(loader, "_cached", None)
monkeypatch.setattr(loader, "_override", None)
yield
def test_extra_body_parsed_from_json_env(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("LLM_EXTRA_BODY", json.dumps({"service_tier": "flex", "n": 1}))
assert load_settings().llm.extra_body == {"service_tier": "flex", "n": 1}
async def _send(model: Model) -> None:
await model.get_response(
system_instructions=None,
input="Reply with just 'OK'.",
model_settings=make_model_settings(None, model_name="gpt-5", extra_body=_EXTRA_BODY),
tools=[],
output_schema=None,
handoffs=[],
tracing=ModelTracing.DISABLED,
previous_response_id=None,
conversation_id=None,
prompt=None,
)
def _capturing_client(captured: dict[str, Any]) -> openai.AsyncOpenAI:
def handler(request: httpx.Request) -> httpx.Response:
captured.update(json.loads(request.content))
return httpx.Response(400, json={"error": {"message": "captured"}})
return openai.AsyncOpenAI(
api_key="test",
base_url="https://gateway.example/v1",
max_retries=0,
http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler)),
)
@pytest.mark.asyncio
@pytest.mark.parametrize("model_cls", [OpenAIChatCompletionsModel, OpenAIResponsesModel])
async def test_extra_body_reaches_native_openai_request_body(model_cls: type) -> None:
captured: dict[str, Any] = {}
with pytest.raises(openai.BadRequestError):
await _send(model_cls(model="gpt-5", openai_client=_capturing_client(captured)))
assert {k: captured.get(k) for k in _EXTRA_BODY} == _EXTRA_BODY
@pytest.mark.asyncio
async def test_extra_body_passed_to_litellm(monkeypatch: pytest.MonkeyPatch) -> None:
captured: dict[str, Any] = {}
async def fake_acompletion(**kwargs: Any) -> Any:
captured.update(kwargs)
raise RuntimeError("captured")
monkeypatch.setattr(litellm, "acompletion", fake_acompletion)
with pytest.raises(RuntimeError, match="captured"):
await _send(LitellmModel(model="openai/gpt-5", base_url="https://gateway.example/v1"))
assert captured["extra_body"] == _EXTRA_BODY
-50
View File
@@ -60,7 +60,6 @@ def test_preflight_request_fails_after_its_own_timeout_with_a_clear_message() ->
model, # type: ignore[arg-type]
model_name="openai/gpt-4o",
extra_headers=None,
extra_body=None,
timeout=1,
api_base_setting="DEDUPE_LLM_API_BASE",
)
@@ -131,52 +130,3 @@ def test_warm_up_checks_the_dedupe_model_with_its_own_headers_and_the_preflight_
"DEDUPE_LLM_API_BASE",
]
assert calls[1][0] is dedupe_model
def test_warm_up_checks_each_model_with_its_own_body_fields(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
monkeypatch.setenv("STRIX_LLM", "openai/gpt-4o")
monkeypatch.setenv("LLM_API_KEY", "sk-test")
monkeypatch.setenv("LLM_EXTRA_BODY", '{"safety_identifier": "main"}')
monkeypatch.setenv("STRIX_DEDUPE_MODEL", "anthropic/claude-sonnet-4-5")
monkeypatch.setenv("DEDUPE_LLM_EXTRA_BODY", '{"service_tier": "flex"}')
_fresh_settings(monkeypatch, tmp_path)
calls: list[dict[str, Any]] = []
async def record(_model: Any, **kwargs: Any) -> None:
calls.append(kwargs)
monkeypatch.setattr(scan_setup, "preflight_request", record)
monkeypatch.setattr(cli_main, "preflight_request", record)
monkeypatch.setattr("strix.config.models.configure_sdk_model_defaults", lambda _settings: None)
monkeypatch.setattr("strix.report.dedupe.resolve_dedupe_model", lambda _dedupe, _name: object())
asyncio.run(cli_main.warm_up_llm())
assert [kwargs["extra_body"] for kwargs in calls] == [
{"safety_identifier": "main"},
{"service_tier": "flex"},
]
def test_preflight_request_sends_the_extra_body() -> None:
seen: list[Any] = []
class _Recorder:
async def get_response(self, *, model_settings: Any, **_: Any) -> None:
seen.append(model_settings.extra_body)
asyncio.run(
preflight_request(
_Recorder(), # type: ignore[arg-type]
model_name="openai/gpt-4o",
extra_headers=None,
extra_body={"safety_identifier": "main"},
timeout=5,
api_base_setting="LLM_API_BASE",
)
)
assert seen == [{"safety_identifier": "main"}]
+15 -45
View File
@@ -9,6 +9,7 @@ call at a time against the shared client.
from __future__ import annotations
import asyncio
from types import SimpleNamespace
from typing import TYPE_CHECKING, Any, cast
import pytest
@@ -26,7 +27,6 @@ class _FakeClient:
def __init__(self, name: str) -> None:
self.name = name
self.closed = False
self.graphql: Any = None
async def aclose(self) -> None:
self.closed = True
@@ -231,23 +231,20 @@ async def test_ctx_client_degrades_when_bootstrap_failed() -> None:
assert await tools._ctx_client(cast("Any", _Ctx({"caido_client": handle}))) is None
class _FakeGraphQL:
def __init__(self, answers: dict[str, list[Any]]) -> None:
self.answers = answers
self.queries: list[tuple[str, dict[str, Any]]] = []
async def query(self, document: str, variables: dict[str, Any]) -> dict[str, Any]:
self.queries.append((document, dict(variables)))
answer = self.answers[variables["id"]].pop(0)
if isinstance(answer, Exception):
raise answer
return {"request": answer}
async def test_existing_request_ids_select_only_the_id() -> None:
async def test_existing_request_ids_queries_current_project(
monkeypatch: pytest.MonkeyPatch,
) -> None:
client = _FakeClient("host")
graphql = _FakeGraphQL({"1042": [{"id": "1042"}], "1088": [None]})
client.graphql = graphql
looked_up: list[str] = []
async def get_request_with_client(passed_client: Any, request_id: str) -> Any:
assert passed_client is client
looked_up.append(request_id)
if request_id == "1042":
return SimpleNamespace(request=SimpleNamespace(id="1042"))
return None
monkeypatch.setattr(caido_api, "get_request_with_client", get_request_with_client)
existing = await tools.existing_request_ids(
cast("Any", _Ctx({"caido_client": client})),
@@ -255,34 +252,7 @@ async def test_existing_request_ids_select_only_the_id() -> None:
)
assert existing == {"1042"}
assert [variables["id"] for _, variables in graphql.queries] == ["1042", "1088"]
for document, _ in graphql.queries:
assert "raw" not in document
assert "{ id }" in document
async def test_existing_request_ids_retry_once_before_giving_up() -> None:
client = _FakeClient("host")
graphql = _FakeGraphQL(
{
"1042": [TimeoutError("deadline exceeded"), {"id": "1042"}],
"1088": [TimeoutError("deadline exceeded"), TimeoutError("deadline exceeded")],
}
)
client.graphql = graphql
with pytest.raises(TimeoutError):
await tools.existing_request_ids(
cast("Any", _Ctx({"caido_client": client})),
["1042", "1088"],
)
assert [variables["id"] for _, variables in graphql.queries] == [
"1042",
"1042",
"1088",
"1088",
]
assert looked_up == ["1042", "1088"]
def test_err_logs_caido_errors_as_warnings(caplog: pytest.LogCaptureFixture) -> None:
+10 -8
View File
@@ -663,6 +663,7 @@ async def test_dependency_report_records_reachability(report_state: ReportState)
== "src/render.ts:14 calls `_.template()`."
)
assert "**Usage analysis:**" in report["evidence"]
assert "not a proof of exploitability or of safety" in report["evidence"]
# The level must never influence the rating — that comes from the contextual
# breakdown, or from advisory_cvss when no breakdown applies.
assert report["severity"] == "high"
@@ -1640,7 +1641,7 @@ async def test_http_exchange_ids_must_exist_in_current_proxy_project(
assert warning is None
async def test_http_exchange_ids_are_kept_when_proxy_cannot_be_queried(
async def test_http_exchange_ids_are_dropped_when_proxy_cannot_be_queried(
monkeypatch: pytest.MonkeyPatch,
) -> None:
async def existing_request_ids(
@@ -1656,10 +1657,11 @@ async def test_http_exchange_ids_are_kept_when_proxy_cannot_be_queried(
["1042", "1042", "1088"],
)
assert request_ids == ["1042", "1088"]
assert request_ids is None
assert errors == []
assert warning is not None
assert "without verification" in warning
assert "not stored" in warning
assert "update_vulnerability_report" in warning
async def test_create_reports_persistence_failure_as_tool_error(
@@ -1678,7 +1680,7 @@ async def test_create_reports_persistence_failure_as_tool_error(
assert report_state.vulnerability_reports == []
async def test_evidence_only_update_keeps_ids_when_proxy_cannot_be_queried(
async def test_evidence_only_update_reports_proxy_outage_as_retryable(
report_state: ReportState,
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -1711,11 +1713,11 @@ async def test_evidence_only_update_keeps_ids_when_proxy_cannot_be_queried(
)
result = json.loads(raw)
assert result["success"] is True
assert "without verification" in result["warning"]
assert result["success"] is False
assert "No fields to update" not in result["error"]
assert "update_vulnerability_report" in result["error"]
assert result["report_id"] == "vuln-0009"
assert report_state.vulnerability_reports[0]["http_exchange_ids"] == ["204"]
assert report_state.vulnerability_reports[0] != original
assert report_state.vulnerability_reports[0] == original
def test_update_reports_persistence_failure_as_tool_error(report_state: ReportState) -> None:
-4
View File
@@ -263,11 +263,7 @@ def test_narrow_terminals_never_wrap_a_row() -> None:
@pytest.mark.skipif(sys.platform == "win32", reason="POSIX key reader")
def test_posix_key_reader_handles_multibyte_and_arrows() -> None:
tty = pytest.importorskip("tty")
master, slave = os.openpty()
# Without this the pty echoes the writes into an output queue nobody reads,
# and read_raw_key's TCSADRAIN restore blocks forever on macOS.
tty.setcbreak(slave)
try:
with os.fdopen(slave, "r+b", buffering=0) as stream:
os.write(master, "\u00e9".encode())
-2
View File
@@ -25,11 +25,9 @@ def _wire_runner(monkeypatch: pytest.MonkeyPatch, tmp_path: Any) -> None:
model="openai/gpt-4o",
reasoning_effort="high",
force_required_tool_choice=False,
parallel_tool_calls=False,
timeout=300,
prompt_cache=True,
extra_headers=None,
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
)
-2
View File
@@ -41,11 +41,9 @@ def _settings() -> Any:
model="openai/gpt-4o",
reasoning_effort="high",
force_required_tool_choice=False,
parallel_tool_calls=False,
timeout=300,
prompt_cache=True,
extra_headers=None,
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
)
-2
View File
@@ -39,11 +39,9 @@ async def test_persistent_rate_limit_stops_gracefully(
model="openai/gpt-4o",
reasoning_effort="high",
force_required_tool_choice=False,
parallel_tool_calls=False,
timeout=300,
prompt_cache=True,
extra_headers=None,
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
)
-46
View File
@@ -61,14 +61,11 @@ def _patch_engine_scaffold(
model="openai/gpt-4o",
reasoning_effort="high",
force_required_tool_choice=False,
parallel_tool_calls=False,
timeout=300,
prompt_cache=True,
extra_headers=None,
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
telemetry=types.SimpleNamespace(run_record_timings=False),
)
monkeypatch.setattr(runner, "load_settings", lambda: settings)
monkeypatch.setattr(runner, "configure_sdk_model_defaults", lambda _settings: None)
@@ -162,36 +159,6 @@ async def test_root_prompt_options_flow_into_root_agent(
}
@pytest.mark.asyncio
async def test_replace_root_scan_prompt_drops_the_scan_prompt(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Any,
) -> None:
scope_context = {
"scope_source": "user_scan_config",
"authorized_targets": [
{"type": "web_application", "value": "https://example.com", "workspace_path": ""},
],
}
captured = _patch_engine_scaffold(monkeypatch, tmp_path, scope_context)
await runner.run_strix_scan(
scan_config={"targets": [], "scan_mode": "deep"},
scan_id="scan-replace",
image="img",
coordinator=AgentCoordinator(),
root_instructions_override="CUSTOM SCAN PROMPT",
replace_root_scan_prompt=True,
)
instructions_override = captured["kwargs"]["instructions_override"]
assert instructions_override.startswith("CUSTOM SCAN PROMPT")
assert instructions_override.count("SCOPE:") == 1
assert "https://example.com" in instructions_override
assert "<root_scan_instructions_override>" not in instructions_override
assert "application security validation agent" not in instructions_override
@pytest.mark.asyncio
async def test_extra_system_prompt_context_cannot_override_scope_context(
monkeypatch: pytest.MonkeyPatch,
@@ -317,19 +284,6 @@ async def test_unknown_tool_calls_are_returned_to_the_model(
assert captured["run_config"].tool_not_found_behavior == "return_error_to_model"
@pytest.mark.parametrize("interactive", [False, True])
def test_parallel_tool_calls_prompt_is_opt_in(interactive: bool) -> None:
default = render_system_prompt(include_scope=False, interactive=interactive)
parallel = render_system_prompt(
include_scope=False, interactive=interactive, parallel_tool_calls=True
)
assert "Read-only calls can go together" not in default
assert ("Read-only calls can go together" in parallel) is not interactive
assert ("exactly one tool call" in default) is interactive
assert "exactly one tool call" not in parallel
def test_scope_is_rendered_once_at_the_end_of_the_prompt() -> None:
prompt = render_system_prompt(
system_prompt_context={
-2
View File
@@ -49,11 +49,9 @@ def _settings() -> Any:
model="openai/gpt-4o",
reasoning_effort="high",
force_required_tool_choice=False,
parallel_tool_calls=False,
timeout=300,
prompt_cache=True,
extra_headers=None,
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
)
-14
View File
@@ -12,7 +12,6 @@ from strix.skills import (
register_skill_dir,
registered_skill_dirs,
skill_search_dirs,
skill_turn_limit,
validate_requested_skills,
)
from strix.utils.resource_paths import get_strix_resource_path
@@ -283,16 +282,3 @@ def test_new_skill_files_load() -> None:
for name in names:
key = name.split("/")[-1]
assert loaded.get(key), f"{name} failed to load"
def test_skill_turn_limit_matches_bare_and_qualified_names(tmp_path: Path) -> None:
_write_skill(tmp_path, "pr_review", "investigator", "---\nname: investigator\n---\nx")
_write_skill(tmp_path, "pr_review", "validator", "---\nname: validator\n---\nx")
register_skill_dir(tmp_path)
limits = {"pr_review/investigator": 25, "pr_review/validator": 40}
assert skill_turn_limit(["investigator"], limits) == 25
assert skill_turn_limit(["pr_review/validator", "idor"], limits) == 40
assert skill_turn_limit(["investigator", "validator"], limits) == 40
assert skill_turn_limit(["idor"], limits) is None
assert skill_turn_limit(["investigator"], {}) is None
-300
View File
@@ -1,300 +0,0 @@
"""Tests for keeping replayed tool-call arguments valid JSON.
A model that emits a tool call with malformed ``arguments`` fails that one
call, but the raw string is recorded in the session. Strict OpenAI-compatible
servers validate every assistant tool call in the request, so each later turn
is rejected and the agent can never recover. A gateway that validates
arguments the way those servers do proves both the failure and the fix.
"""
from __future__ import annotations
import json
import threading
from http.server import BaseHTTPRequestHandler, HTTPServer
from typing import TYPE_CHECKING, Any
import pytest
from agents import Agent, Runner, function_tool
from agents.models.interface import Model, ModelProvider
from agents.models.openai_chatcompletions import OpenAIChatCompletionsModel
from agents.run import RunConfig
from openai import AsyncOpenAI, BadRequestError
from openai.types.responses import ResponseFunctionToolCall
from strix.config.models import _NonStreamingModel, _TurnGuardModel
from strix.config.tool_call_arguments import (
MALFORMED_ARGUMENTS_KEY,
_loads_strict,
describe_malformed_arguments,
repair_arguments,
repair_history_arguments,
repair_input,
)
if TYPE_CHECKING:
from collections.abc import Iterator
TRUNCATED = '{"n": 1'
OVER_NESTED = '{"a":' + "[" * 100_000
def _tool_call_completion(arguments: str) -> dict[str, Any]:
return {
"id": "chatcmpl-1",
"object": "chat.completion",
"created": 0,
"model": "gw-model",
"choices": [
{
"index": 0,
"finish_reason": "tool_calls",
"message": {
"role": "assistant",
"content": None,
"tool_calls": [
{
"id": "call_1",
"type": "function",
"function": {"name": "do_thing", "arguments": arguments},
}
],
},
}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 2, "total_tokens": 7},
}
def _text_completion(text: str) -> dict[str, Any]:
return {
"id": "chatcmpl-2",
"object": "chat.completion",
"created": 0,
"model": "gw-model",
"choices": [
{"index": 0, "finish_reason": "stop", "message": {"role": "assistant", "content": text}}
],
"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
}
_REQUESTS: list[list[dict[str, Any]]] = []
def _assistant_arguments(messages: list[dict[str, Any]]) -> list[str]:
return [
str(call["function"]["arguments"])
for message in messages
for call in message.get("tool_calls") or []
]
def _tool_results(messages: list[dict[str, Any]]) -> list[str]:
return [str(m.get("content")) for m in messages if m.get("role") == "tool"]
class _StrictHandler(BaseHTTPRequestHandler):
"""Gateway that rejects malformed assistant tool-call arguments, like vLLM/SGLang do."""
def log_message(self, *args: Any) -> None:
pass
def do_POST(self) -> None:
length = int(self.headers.get("Content-Length", 0))
body = json.loads(self.rfile.read(length) or b"{}")
messages = body.get("messages", [])
_REQUESTS.append(messages)
for arguments in _assistant_arguments(messages):
try:
json.loads(arguments)
except ValueError:
self._respond(
400,
{
"object": "error",
"message": "Assistant tool call function.arguments must be valid JSON.",
"type": "BadRequest",
"param": None,
"code": 400,
},
)
return
if len(_REQUESTS) == 1:
self._respond(200, _tool_call_completion(TRUNCATED))
else:
self._respond(200, _text_completion("all done"))
def _respond(self, status: int, payload: dict[str, Any]) -> None:
encoded = json.dumps(payload).encode()
self.send_response(status)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(encoded)))
self.end_headers()
self.wfile.write(encoded)
@pytest.fixture
def strict_gateway() -> Iterator[str]:
_REQUESTS.clear()
server = HTTPServer(("127.0.0.1", 0), _StrictHandler)
thread = threading.Thread(target=server.serve_forever, daemon=True)
thread.start()
try:
yield f"http://127.0.0.1:{server.server_address[1]}/v1"
finally:
server.shutdown()
server.server_close()
def _model(base_url: str) -> Model:
client = AsyncOpenAI(api_key="tok", base_url=base_url, max_retries=0)
return _NonStreamingModel(OpenAIChatCompletionsModel(model="gw-model", openai_client=client))
async def _run_agent(base_url: str, *, wrap: bool) -> Any:
@function_tool
def do_thing(n: int) -> str:
return f"did {n}"
class _Provider(ModelProvider):
def get_model(self, model_name: str | None) -> Model: # noqa: ARG002
model = _model(base_url)
return _TurnGuardModel(model) if wrap else model
agent = Agent(name="t", instructions="use the tool", tools=[do_thing], model="gw-model")
result = Runner.run_streamed(
agent, input="please", run_config=RunConfig(model_provider=_Provider())
)
async for _ in result.stream_events():
pass
return result
@pytest.mark.asyncio
async def test_malformed_arguments_poison_every_later_turn_without_the_wrapper(
strict_gateway: str,
) -> None:
# Repro: the model truncates a tool call's arguments once. The tool fails
# that call gracefully, but the next request replays the raw string and
# the provider rejects the whole conversation from then on.
with pytest.raises(BadRequestError, match="must be valid JSON"):
await _run_agent(strict_gateway, wrap=False)
assert _assistant_arguments(_REQUESTS[-1]) == [TRUNCATED]
@pytest.mark.asyncio
async def test_malformed_arguments_are_replayed_as_valid_json(strict_gateway: str) -> None:
result = await _run_agent(strict_gateway, wrap=True)
assert result.final_output == "all done"
(arguments,) = _assistant_arguments(_REQUESTS[-1])
assert json.loads(arguments) == {MALFORMED_ARGUMENTS_KEY: TRUNCATED}
(tool_result,) = _tool_results(_REQUESTS[-1])
assert "JSON" in tool_result
@pytest.mark.parametrize(
("arguments", "expected"),
[
('{"cmd": "ls', json.dumps({MALFORMED_ARGUMENTS_KEY: '{"cmd": "ls'})),
("[1, 2]", json.dumps({MALFORMED_ARGUMENTS_KEY: "[1, 2]"})),
("", "{}"),
(" ", "{}"),
(None, "{}"),
],
)
def test_repair_arguments_rewrites_anything_but_a_json_object(
arguments: str | None, expected: str
) -> None:
assert repair_arguments(arguments) == expected
@pytest.mark.parametrize(
"arguments", ["{}", '{"cmd": "ls -la"}', '{"nested": {"a": [1]}}', '{"n": "NaN"}']
)
def test_repair_arguments_leaves_json_objects_alone(arguments: str) -> None:
assert repair_arguments(arguments) is None
@pytest.mark.parametrize("arguments", ['{"n": NaN}', '{"n": Infinity}', '{"n": -Infinity}'])
def test_repair_arguments_wraps_non_standard_json_constants(arguments: str) -> None:
repaired = repair_arguments(arguments)
assert repaired is not None
assert _loads_strict(repaired) == {MALFORMED_ARGUMENTS_KEY: arguments}
def test_repair_arguments_wraps_over_nested_json() -> None:
repaired = repair_arguments(OVER_NESTED)
assert repaired is not None
assert _loads_strict(repaired) == {MALFORMED_ARGUMENTS_KEY: OVER_NESTED}
def test_history_repair_rewrites_only_malformed_calls() -> None:
items = [
{"role": "user", "content": "go"},
{"type": "function_call", "call_id": "a", "name": "x", "arguments": '{"cmd": "ls'},
{"type": "function_call_output", "call_id": "a", "output": "invalid JSON"},
{"type": "function_call", "call_id": "b", "name": "y", "arguments": '{"ok": true}'},
ResponseFunctionToolCall(call_id="c", name="z", arguments="", type="function_call"),
]
rebuilt, changed = repair_history_arguments(items)
assert changed
assert rebuilt[0] is items[0]
assert json.loads(rebuilt[1]["arguments"]) == {MALFORMED_ARGUMENTS_KEY: '{"cmd": "ls'}
assert rebuilt[1]["call_id"] == "a"
assert rebuilt[2] is items[2]
assert rebuilt[3] is items[3]
assert isinstance(rebuilt[4], ResponseFunctionToolCall)
assert rebuilt[4].arguments == "{}"
assert isinstance(items[1], dict)
assert items[1]["arguments"] == '{"cmd": "ls'
def test_repair_input_returns_same_object_when_nothing_changes() -> None:
items = [{"type": "function_call", "call_id": "a", "name": "x", "arguments": "{}"}]
assert repair_input(items) is items
assert repair_input("plain prompt") == "plain prompt"
def test_repair_input_wraps_over_nested_function_call_arguments() -> None:
items = [
{
"type": "function_call",
"call_id": "a",
"name": "x",
"arguments": OVER_NESTED,
}
]
repaired = repair_input(items)
assert isinstance(repaired, list)
assert _loads_strict(repaired[0]["arguments"]) == {MALFORMED_ARGUMENTS_KEY: OVER_NESTED}
@pytest.mark.parametrize(
"arguments",
['{"cmd": "ls -la', "[1, 2]", "null", "not json", '{"n": NaN}', OVER_NESTED],
)
def test_describe_malformed_arguments_tells_the_model_to_reissue(arguments: str) -> None:
message = describe_malformed_arguments("exec_command", arguments)
assert message is not None
assert message.startswith("exec_command: the tool call was not executed")
assert "Re-issue the call" in message
@pytest.mark.parametrize("arguments", ["", " ", "{}", '{"cmd": "ls"}'])
def test_describe_malformed_arguments_accepts_objects_and_empty_input(arguments: str) -> None:
assert describe_malformed_arguments("exec_command", arguments) is None
Generated
+158 -238
View File
@@ -9,10 +9,6 @@ resolution-markers = [
"python_full_version < '3.14' and sys_platform != 'win32'",
]
[options]
exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
exclude-newer-span = "P5D"
[[package]]
name = "aiohappyeyeballs"
version = "2.6.2"
@@ -24,7 +20,7 @@ wheels = [
[[package]]
name = "aiohttp"
version = "3.14.5"
version = "3.14.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -36,132 +32,90 @@ dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
{ name = "yarl" },
]
sdist = { url = "https://files.pythonhosted.org/packages/6c/4c/bdccd81e9ee225b69c60e7766c9a5b05364f118f4d383713b89a682d772d/aiohttp-3.14.5.tar.gz", hash = "sha256:5558a7f5a05af9ecf744af91e5baefc436f93c9333e656c27ec253f9a6bbe178", size = 8078052, upload-time = "2026-10-11T01:05:12.408Z" }
sdist = { url = "https://files.pythonhosted.org/packages/58/d9/22ce5786ac0c1653ae8b6c23bded02c1686d11f0dbb45b31ce128e0df985/aiohttp-3.14.3.tar.gz", hash = "sha256:9491196535a88924a60afd5b5f434b5b203b6cc616250878dbdb223a8f7844bc", size = 7971213, upload-time = "2026-07-23T01:57:27.037Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/d5/94/6ba86efddcb616c811b40e6a0dfdd862738f647e4e3860a961075d5e9ed8/aiohttp-3.14.5-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:df37b620684e19b5e25724412518ccafc3b1a49cdac706fdbd2f983fad943450", size = 817499, upload-time = "2026-10-11T01:00:18.901Z" },
{ url = "https://files.pythonhosted.org/packages/5e/e1/7bca6d84dabd228aa8eb4b7f9feac2586aaa9be5505d7d65bf287a615c43/aiohttp-3.14.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:ef60869969180ec2464f1349aff07138ae35ca2200f0946cb3552e49e8f301a8", size = 549467, upload-time = "2026-10-11T01:00:20.854Z" },
{ url = "https://files.pythonhosted.org/packages/64/91/11b89f45ca486252dd67dd5f3231fec04bf5518da39a95cb3997619f17fb/aiohttp-3.14.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d079c0a0135c36e7beb6f1c88087c8f108dc5891cdd0b5eafa778421bda70ed2", size = 548067, upload-time = "2026-10-11T01:00:22.659Z" },
{ url = "https://files.pythonhosted.org/packages/22/ff/c6615806c14aab34f82b9424ccde8ce6e417315fd57ce1c5b4d4747888e1/aiohttp-3.14.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:abfda5cb094a829f7bc25216a32f7db2e85cc65bd59910f8e7b40b3d9b224764", size = 1896245, upload-time = "2026-10-11T01:00:24.638Z" },
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