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ObsiGate/tests/test_agent_loop.py
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feat(ai): phase B function calling in-app (agent loop + endpoint /agent)
- backend/ai_chat.py: chat_completion provider-agnostique (OpenAI-compat tools/tool_calls + Gemini functionDeclarations/functionCall), retry sans tools si rejete
- backend/agent/loop.py: run_agent multi-etapes (limite 10, truncation, confirmation two-step), LLM injectable
- endpoint opt-in POST /api/ai/bookslm/agent (events SSE tool/message/confirmation), extraction _resolve_system_prompt
- tests: test_ai_chat.py, test_agent_loop.py + 3 tests endpoint (728 passed au total)
- ROADMAP B1/B2/B3/B7 livres ; B4/B5/B6 restants
2026-09-11 12:45:16 -04:00

200 lines
9.0 KiB
Python

# tests/test_agent_loop.py — Unit tests for the in-app agent loop (Phase B)
"""Tests for backend.agent.loop.run_agent using a scripted (mocked) LLM."""
import pytest
from backend.agent.loop import (
STOP_CONFIRMATION_REQUIRED,
STOP_DONE,
STOP_MAX_ITERATIONS,
run_agent,
)
from backend.ai_chat import LLMResponse, ToolCall
from backend.tools.api import ToolContext, ToolRisk
from backend.tools.registry import ToolSpec
from backend.tools.schemas import ListVaultsInput
def _ctx(vaults=None) -> ToolContext:
return ToolContext(
user={"username": "tester", "role": "admin", "vaults": vaults or ["*"]},
audit_enabled=False,
)
def _register(monkeypatch, name, handler, risk=ToolRisk.READ):
from backend.tools import registry
spec = ToolSpec(
name=name,
description=f"test tool {name}",
input_model=ListVaultsInput,
handler=handler,
risk=risk,
)
monkeypatch.setitem(registry._REGISTRY, name, spec)
return spec
class ScriptedLLM:
"""Async LLM returning pre-scripted responses and recording invocations."""
def __init__(self, responses):
self.responses = list(responses)
self.calls = []
async def __call__(self, messages, tools):
self.calls.append({"messages": [dict(m) for m in messages], "tools": tools})
return self.responses.pop(0)
# ═══════════════════════════════════════════════════════════════════
# Plain completion
# ═══════════════════════════════════════════════════════════════════
class TestPlainCompletion:
@pytest.mark.asyncio
async def test_no_tool_calls_returns_content(self):
llm = ScriptedLLM([LLMResponse(content="bonjour")])
result = await run_agent([{"role": "user", "content": "hi"}], ctx=_ctx(), llm=llm)
assert result.stopped == STOP_DONE
assert result.content == "bonjour"
assert result.iterations == 1
assert result.tool_calls == []
@pytest.mark.asyncio
async def test_tools_empty_disables_tool_calling(self):
llm = ScriptedLLM([LLMResponse(content="ok")])
await run_agent([{"role": "user", "content": "hi"}], ctx=_ctx(), llm=llm, tools=[])
assert llm.calls[0]["tools"] == []
@pytest.mark.asyncio
async def test_default_tools_expose_in_app_tools(self):
llm = ScriptedLLM([LLMResponse(content="ok")])
await run_agent([{"role": "user", "content": "hi"}], ctx=_ctx(), llm=llm)
names = {t["function"]["name"] for t in llm.calls[0]["tools"]}
assert "list_vaults" in names
# ═══════════════════════════════════════════════════════════════════
# Tool calling
# ═══════════════════════════════════════════════════════════════════
class TestToolCalling:
@pytest.mark.asyncio
async def test_executes_tool_then_answers(self, monkeypatch):
_register(monkeypatch, "_echo", lambda ctx, params: {"echoed": True})
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="_echo", arguments={})]),
LLMResponse(content="final"),
])
result = await run_agent([{"role": "user", "content": "go"}], ctx=_ctx(), llm=llm)
assert result.stopped == STOP_DONE
assert result.content == "final"
assert result.iterations == 2
assert len(result.tool_calls) == 1
assert result.tool_calls[0].ok is True
assert result.tool_calls[0].result == {"echoed": True}
@pytest.mark.asyncio
async def test_tool_result_is_fed_back(self, monkeypatch):
_register(monkeypatch, "_echo", lambda ctx, params: {"value": 42})
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="_echo", arguments={})]),
LLMResponse(content="done"),
])
await run_agent([{"role": "user", "content": "go"}], ctx=_ctx(), llm=llm)
# Second LLM call must contain a tool message with the result.
second_messages = llm.calls[1]["messages"]
tool_msgs = [m for m in second_messages if m.get("role") == "tool"]
assert len(tool_msgs) == 1
assert '"value": 42' in tool_msgs[0]["content"]
assert tool_msgs[0]["tool_call_id"] == "1"
@pytest.mark.asyncio
async def test_unknown_tool_recorded_as_error(self):
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="does_not_exist", arguments={})]),
LLMResponse(content="recovered"),
])
result = await run_agent([{"role": "user", "content": "go"}], ctx=_ctx(), llm=llm)
assert result.stopped == STOP_DONE
assert len(result.tool_calls) == 1
assert result.tool_calls[0].ok is False
assert result.tool_calls[0].result["error"]["code"] == "not_found"
@pytest.mark.asyncio
async def test_on_tool_call_callback(self, monkeypatch):
_register(monkeypatch, "_echo", lambda ctx, params: "x")
seen = []
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="_echo", arguments={})]),
LLMResponse(content="done"),
])
await run_agent([{"role": "user", "content": "go"}], ctx=_ctx(), llm=llm, on_tool_call=seen.append)
assert len(seen) == 1
assert seen[0].name == "_echo"
# ═══════════════════════════════════════════════════════════════════
# Confirmation & limits
# ═══════════════════════════════════════════════════════════════════
class TestConfirmationAndLimits:
@pytest.mark.asyncio
async def test_write_tool_pauses_for_confirmation(self, monkeypatch):
_register(monkeypatch, "_write", lambda ctx, params: {"done": True}, risk=ToolRisk.WRITE)
llm = ScriptedLLM([LLMResponse(tool_calls=[ToolCall(id="1", name="_write", arguments={})])])
result = await run_agent([{"role": "user", "content": "write"}], ctx=_ctx(), llm=llm)
assert result.stopped == STOP_CONFIRMATION_REQUIRED
assert result.pending is not None
assert result.pending["error"]["tool"] == "_write"
assert result.tool_calls == []
@pytest.mark.asyncio
async def test_write_tool_runs_when_confirmed(self, monkeypatch):
_register(monkeypatch, "_write", lambda ctx, params: {"done": True}, risk=ToolRisk.WRITE)
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="_write", arguments={})]),
LLMResponse(content="done"),
])
ctx = _ctx()
ctx.confirmed = True
result = await run_agent([{"role": "user", "content": "write"}], ctx=ctx, llm=llm)
assert result.stopped == STOP_DONE
assert result.tool_calls[0].ok is True
@pytest.mark.asyncio
async def test_max_iterations_stops_loop(self, monkeypatch):
_register(monkeypatch, "_echo", lambda ctx, params: "x")
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="_echo", arguments={})]),
LLMResponse(tool_calls=[ToolCall(id="2", name="_echo", arguments={})]),
LLMResponse(content="never reached"),
])
result = await run_agent([{"role": "user", "content": "loop"}], ctx=_ctx(), llm=llm, max_iterations=2)
assert result.stopped == STOP_MAX_ITERATIONS
assert result.iterations == 2
assert len(result.tool_calls) == 2
# ═══════════════════════════════════════════════════════════════════
# Permissions (index-backed)
# ═══════════════════════════════════════════════════════════════════
class TestAgentPermissions:
@pytest.mark.asyncio
async def test_permission_denied_recorded(self, client):
llm = ScriptedLLM([
LLMResponse(tool_calls=[ToolCall(id="1", name="list_directory", arguments={"vault": "TestVault"})]),
LLMResponse(content="denied"),
])
ctx = ToolContext(user={"username": "limited", "vaults": ["OtherVault"]}, audit_enabled=False)
result = await run_agent([{"role": "user", "content": "list"}], ctx=ctx, llm=llm)
assert result.tool_calls[0].ok is False
assert result.tool_calls[0].result["error"]["code"] == "vault_access_denied"