feat(learning-harness): curated repository tools and a parameterised hunter loop

Task 1.5. Four tools join the three the hunter already had. Resolving a
definition by symbol returns its file, line span and body, decorators included,
so a detector stops guessing what a callee or a route handler does. Listing
entry points, flows and obligations answers with identifiers and line spans
only, so a structural tool can never become a second way to dump the
repository. Every path a caller supplies is clamped to the scan root first.

The loop now takes the system prompt, the user prompt, the files to start from,
the tool subset, the character limit and the tags its findings carry, each
defaulting to today's behaviour, and it replays the provider's reasoning field
on the next turn because the provider otherwise drops its own chain of thought
across a tool call. A detector configuration is exactly this set of knobs.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
This commit is contained in:
Marius Ciepluch
2026-09-06 09:22:23 +02:00
co-authored by Claude Opus 5
parent 6b58c81ba0
commit 6965c39b7b
3 changed files with 448 additions and 21 deletions
+127 -20
View File
@@ -12,7 +12,17 @@ from typing import Protocol
from .complexity.map import Hotspot
from .findings import StaticFinding
from .hunter_tools import PathEscapesRepo, clamp_repo_path, find_refs, grep_repo, read_file
from .hunter_tools import (
PathEscapesRepo,
clamp_repo_path,
entry_points,
find_refs,
flows,
grep_repo,
obligations,
read_definition,
read_file,
)
from .provider.openrouter import OpenRouterChatClient, OpenRouterError
_DEFAULT_MAX_CHARS = 4000
@@ -20,7 +30,8 @@ _DEFAULT_MAX_MATCHES = 50
DEFAULT_MAX_STEPS = 4
CLIENT_ENV = "OPENULTRASAST_HUNTER_CLIENT"
_FINDING_ID_PREFIX = "tool-hunter:"
_HUNTER_TOOL_NAMES = frozenset({"read_file", "grep_repo", "find_refs"})
DEFAULT_TOOL_NAMES = ("read_file", "grep_repo", "find_refs")
_HUNTER_TOOL_NAMES = frozenset(DEFAULT_TOOL_NAMES) | {"read_definition", "entry_points", "flows", "obligations"}
_SEVERITIES = frozenset({"critical", "high", "medium", "low", "info"})
_SCRIPTED_FLAGS = frozenset({"scripted", "script"})
_DUMP_FLAGS = frozenset({"dump", "dump-only"})
@@ -80,6 +91,50 @@ HUNTER_TOOLS: list[dict[str, object]] = [
},
},
},
{
"type": "function",
"function": {
"name": "read_definition",
"description": "Resolve one named function to its file, line span and body. Use it instead of guessing what a callee does.",
"parameters": {
"type": "object",
"properties": {"symbol": {"type": "string"}, "path": {"type": "string"}, "max_chars": {"type": "integer"}},
"required": ["symbol"],
},
},
},
{
"type": "function",
"function": {
"name": "entry_points",
"description": "List the handlers this repository exposes, with their access classification. Identifiers and line spans only.",
"parameters": {"type": "object", "properties": {"path": {"type": "string"}}, "required": []},
},
},
{
"type": "function",
"function": {
"name": "flows",
"description": "List adjudicated source-to-sink records inside one function. Identifiers and line numbers only.",
"parameters": {
"type": "object",
"properties": {"path": {"type": "string"}, "function": {"type": "string"}},
"required": ["path", "function"],
},
},
},
{
"type": "function",
"function": {
"name": "obligations",
"description": "List what one function owes and has not discharged: the operation, the missing discharger and why it is owed.",
"parameters": {
"type": "object",
"properties": {"path": {"type": "string"}, "function": {"type": "string"}},
"required": ["path", "function"],
},
},
},
]
_SYSTEM_PROMPT = (
@@ -252,32 +307,59 @@ def run_tool_hunter(
client: ChatClient,
model: str,
max_steps: int,
system_prompt: str = _SYSTEM_PROMPT,
user_prompt: str | None = None,
context_files: Sequence[str] = (),
tools: Sequence[str] | None = None,
max_chars: int = _DEFAULT_MAX_CHARS,
tags: Sequence[str] = ("tool-hunter",),
) -> list[StaticFinding]:
"""One bounded hunt. Every keyword defaults to today's behaviour; a per-family detector overrides the
prompt, the context it starts from, the tools it may call and the tags its findings carry."""
if max_steps <= 0:
return []
schemas = _tool_schemas(tools)
messages: list[dict[str, object]] = [
{"role": "system", "content": _SYSTEM_PROMPT},
{"role": "user", "content": _hotspot_prompt(hotspots)},
{"role": "system", "content": system_prompt},
{"role": "user", "content": _user_message(root, hotspots, user_prompt, context_files, max_chars)},
]
used_tools = False
for _step in range(max_steps):
response = client.complete(model=model, messages=messages, tools=HUNTER_TOOLS)
response = client.complete(model=model, messages=messages, tools=schemas)
tool_calls = tuple(response.tool_calls or ())
if tool_calls:
messages.append(_assistant_tool_message(response.content, tool_calls))
messages.append(_assistant_tool_message(response.content, tool_calls, response.reasoning))
for call in tool_calls:
if call.name in _HUNTER_TOOL_NAMES:
used_tools = True
messages.append(_tool_result_message(root, call))
messages.append(_tool_result_message(root, call, max_chars))
continue
content = response.content or ""
if not content.strip() or not used_tools:
# A findings dump is not evidence unless the loop invoked a repo tool.
return []
return _findings_from_content(root, hotspots, content)
return _findings_from_content(root, hotspots, content, tags)
return []
def _tool_schemas(names: Sequence[str] | None) -> list[dict[str, object]]:
wanted = tuple(names) if names is not None else DEFAULT_TOOL_NAMES
by_name = {str(schema["function"]["name"]): schema for schema in HUNTER_TOOLS} # type: ignore[index]
return [by_name[name] for name in wanted if name in by_name]
def _user_message(root: Path, hotspots: Sequence[Hotspot], user_prompt: str | None, context_files: Sequence[str], max_chars: int) -> str:
body = user_prompt if user_prompt is not None else _hotspot_prompt(hotspots)
parts = [body]
for relative in context_files:
try:
text = read_file(root, relative, max_chars=max_chars)
except (PathEscapesRepo, OSError):
continue
parts.append(f"--- {relative}\n{text}")
return "\n\n".join(parts)
def _hotspot_prompt(hotspots: Sequence[Hotspot]) -> str:
payload = [
{
@@ -296,8 +378,8 @@ def _hotspot_prompt(hotspots: Sequence[Hotspot]) -> str:
)
def _assistant_tool_message(content: str | None, tool_calls: Sequence[ToolCall]) -> dict[str, object]:
return {
def _assistant_tool_message(content: str | None, tool_calls: Sequence[ToolCall], reasoning: str | None = None) -> dict[str, object]:
message: dict[str, object] = {
"role": "assistant",
"content": content,
"tool_calls": [
@@ -312,30 +394,51 @@ def _assistant_tool_message(content: str | None, tool_calls: Sequence[ToolCall])
for call in tool_calls
],
}
if reasoning:
# The provider drops its own chain of thought unless it comes back on the next turn (DeepSeek tool calls).
message["reasoning_content"] = reasoning
return message
def _tool_result_message(root: Path, call: ToolCall) -> dict[str, object]:
def _tool_result_message(root: Path, call: ToolCall, max_chars: int = _DEFAULT_MAX_CHARS) -> dict[str, object]:
return {
"role": "tool",
"tool_call_id": call.id,
"name": call.name,
"content": _run_tool(root, call),
"content": _run_tool(root, call, max_chars),
}
def _run_tool(root: Path, call: ToolCall) -> str:
def _run_tool(root: Path, call: ToolCall, max_chars: int = _DEFAULT_MAX_CHARS) -> str:
try:
payload = _dispatch_tool(root, call.name, _arguments(call.arguments))
payload = _dispatch_tool(root, call.name, _arguments(call.arguments), max_chars)
except Exception as exc: # noqa: BLE001 — tool failures stay in-band so the scan continues
payload = {"error": f"{type(exc).__name__}: {exc}"}
return json.dumps(payload, sort_keys=True)
def _dispatch_tool(root: Path, name: str, arguments: Mapping[str, object]) -> object:
def _dispatch_tool(root: Path, name: str, arguments: Mapping[str, object], default_max_chars: int = _DEFAULT_MAX_CHARS) -> object:
if name == "read_file":
path = _require_str(arguments, "path")
max_chars = _optional_int(arguments, "max_chars", _DEFAULT_MAX_CHARS)
max_chars = _optional_int(arguments, "max_chars", default_max_chars)
return {"path": path, "content": read_file(root, path, max_chars=max_chars)}
if name == "read_definition":
symbol = _require_str(arguments, "symbol")
scope = arguments.get("path")
found = read_definition(
root,
symbol,
max_chars=_optional_int(arguments, "max_chars", default_max_chars),
path=str(scope) if isinstance(scope, str) and scope else None,
)
return found if found is not None else {"symbol": symbol, "found": False}
if name == "entry_points":
scope = arguments.get("path")
return entry_points(root, path=str(scope) if isinstance(scope, str) and scope else None)
if name == "flows":
return flows(root, path=_require_str(arguments, "path"), function=_require_str(arguments, "function"))
if name == "obligations":
return obligations(root, path=_require_str(arguments, "path"), function=_require_str(arguments, "function"))
if name == "grep_repo":
pattern = _require_str(arguments, "pattern")
max_matches = _optional_int(arguments, "max_matches", _DEFAULT_MAX_MATCHES)
@@ -371,7 +474,9 @@ def _optional_int(arguments: Mapping[str, object], key: str, default: int) -> in
return value
def _findings_from_content(root: Path, hotspots: Sequence[Hotspot], content: str) -> list[StaticFinding]:
def _findings_from_content(
root: Path, hotspots: Sequence[Hotspot], content: str, tags: Sequence[str] = ("tool-hunter",)
) -> list[StaticFinding]:
payload = _load_json(content)
if isinstance(payload, list):
items = payload
@@ -384,7 +489,7 @@ def _findings_from_content(root: Path, hotspots: Sequence[Hotspot], content: str
for item in items:
if not isinstance(item, dict):
continue
finding = _finding_from_item(root, item, scores)
finding = _finding_from_item(root, item, scores, tags)
if finding is not None:
findings.append(finding)
return sorted(findings, key=lambda item: item.finding_id)
@@ -402,7 +507,9 @@ def _load_json(content: str) -> object | None:
return parsed
def _finding_from_item(root: Path, item: Mapping[str, object], scores: Mapping[str, float]) -> StaticFinding | None:
def _finding_from_item(
root: Path, item: Mapping[str, object], scores: Mapping[str, float], tags: Sequence[str] = ("tool-hunter",)
) -> StaticFinding | None:
raw_path = item.get("path")
if not isinstance(raw_path, str) or not raw_path:
return None
@@ -431,7 +538,7 @@ def _finding_from_item(root: Path, item: Mapping[str, object], scores: Mapping[s
reachability_status="unknown",
reachability_evidence=[],
reachability_conditions=[],
tags=["tool-hunter"],
tags=list(tags),
ranking_priority=float(scores.get(relative, 0.0)),
proposed_snippet=proposed_snippet,
)