refactor: 移除 crewai agent 架构相关代码并更新 LLM 配置
This commit is contained in:
@@ -1,40 +0,0 @@
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from __future__ import annotations
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import pytest
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from core.agent.agui_adapter import AguiAdapter
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def test_to_command_maps_payload_fields() -> None:
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adapter = AguiAdapter()
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command = adapter.to_command(
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{
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"message": "hello",
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"session_id": "00000000-0000-0000-0000-000000000001",
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}
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)
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assert command["message"] == "hello"
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assert command["session_id"] == "00000000-0000-0000-0000-000000000001"
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def test_to_protocol_event_maps_internal_event() -> None:
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adapter = AguiAdapter()
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mapped = adapter.to_protocol_event(
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{
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"kind": "run_completed",
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"session_id": "run-1",
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"output": "done",
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}
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)
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assert mapped == {"type": "run.completed", "run_id": "run-1", "output": "done"}
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def test_to_protocol_event_raises_for_invalid_event() -> None:
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adapter = AguiAdapter()
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with pytest.raises(ValueError):
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adapter.to_protocol_event({"kind": "unknown"})
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@@ -1,30 +0,0 @@
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from __future__ import annotations
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import pytest
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from core.agent.tools.asr_fun_asr import FunASRTool
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def test_transcribe_uses_injected_dashscope_callable() -> None:
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def fake_transcribe(*, audio_bytes: bytes, filename: str) -> dict[str, str]:
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assert filename == "voice.wav"
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assert audio_bytes == b"audio"
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return {"text": "你好", "request_id": "req-1"}
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tool = FunASRTool(transcribe_callable=fake_transcribe)
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result = tool.transcribe(audio_bytes=b"audio", filename="voice.wav")
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assert result["text"] == "你好"
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assert result["request_id"] == "req-1"
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assert result["model"] == "fun-asr-realtime-2025-11-07"
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def test_transcribe_raises_runtime_error_when_provider_fails() -> None:
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def fake_transcribe(*, audio_bytes: bytes, filename: str) -> dict[str, str]:
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raise RuntimeError("upstream timeout")
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tool = FunASRTool(transcribe_callable=fake_transcribe)
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with pytest.raises(RuntimeError):
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tool.transcribe(audio_bytes=b"audio", filename="voice.wav")
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@@ -1,48 +0,0 @@
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from __future__ import annotations
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from decimal import Decimal
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from core.agent.litellm_client import get_model_cost
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def test_get_model_cost_returns_decimal() -> None:
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usage = {
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"prompt_tokens": 7,
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"completion_tokens": 5,
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"total_tokens": 12,
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"cost": "0.002500",
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}
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cost = get_model_cost(usage)
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assert cost == Decimal("0.002500")
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def test_get_model_cost_with_no_cost() -> None:
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usage = {
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"prompt_tokens": 7,
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"completion_tokens": 5,
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"total_tokens": 12,
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}
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cost = get_model_cost(usage)
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assert cost == Decimal("0")
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def test_get_model_cost_with_zero_cost() -> None:
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usage = {
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"prompt_tokens": 7,
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"completion_tokens": 5,
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"total_tokens": 12,
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"cost": "0",
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}
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cost = get_model_cost(usage)
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assert cost == Decimal("0")
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def test_get_model_cost_with_numeric_cost() -> None:
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usage = {
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"prompt_tokens": 7,
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"completion_tokens": 5,
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"total_tokens": 12,
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"cost": 0.0025,
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}
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cost = get_model_cost(usage)
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assert cost == Decimal("0.0025")
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@@ -1,61 +0,0 @@
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from __future__ import annotations
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import pytest
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from core.agent.event_bridge import map_internal_event
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def test_map_run_started_event() -> None:
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event = {"kind": "run_started", "session_id": "s1"}
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mapped = map_internal_event(event)
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assert mapped == {"type": "run.started", "run_id": "s1"}
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def test_map_message_delta_event() -> None:
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event = {"kind": "message_delta", "message_id": "m1", "delta": "hello"}
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mapped = map_internal_event(event)
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assert mapped == {"type": "message.delta", "message_id": "m1", "delta": "hello"}
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def test_map_tool_events() -> None:
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started = {
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"kind": "tool_started",
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"message_id": "m2",
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"tool_name": "asr_fun_asr",
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}
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completed = {
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"kind": "tool_completed",
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"message_id": "m2",
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"tool_name": "asr_fun_asr",
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"result": "ok",
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}
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mapped_started = map_internal_event(started)
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mapped_completed = map_internal_event(completed)
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assert mapped_started["type"] == "tool.started"
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assert mapped_started["tool_name"] == "asr_fun_asr"
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assert mapped_completed["type"] == "tool.completed"
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assert mapped_completed["result"] == "ok"
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def test_map_run_completed_event() -> None:
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event = {"kind": "run_completed", "session_id": "s1", "output": "done"}
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mapped = map_internal_event(event)
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assert mapped == {"type": "run.completed", "run_id": "s1", "output": "done"}
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def test_map_unknown_event_raises() -> None:
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with pytest.raises(ValueError):
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map_internal_event({"kind": "unknown"})
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def test_map_event_missing_required_field_raises_value_error() -> None:
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with pytest.raises(ValueError):
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map_internal_event({"kind": "message_delta", "message_id": "m1"})
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@@ -1,104 +0,0 @@
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from __future__ import annotations
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from core.agent.orchestrator import AgentChatOrchestrator
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async def _intent_stage(
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*, message: str, context: dict[str, object]
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) -> dict[str, object]:
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sequence = context.setdefault("sequence", [])
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if isinstance(sequence, list):
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sequence.append("intent")
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return {
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"content": f"intent:{message}",
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"usage": {"input_tokens": 2, "output_tokens": 1, "cost": "0.001000"},
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}
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async def _execution_stage(
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*, message: str, context: dict[str, object]
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) -> dict[str, object]:
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sequence = context.setdefault("sequence", [])
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if isinstance(sequence, list):
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sequence.append("execution")
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return {
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"content": f"execution:{message}",
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"usage": {"input_tokens": 3, "output_tokens": 2, "cost": "0.002000"},
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}
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async def _organization_stage(
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*, message: str, context: dict[str, object]
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) -> dict[str, object]:
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sequence = context.setdefault("sequence", [])
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if isinstance(sequence, list):
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sequence.append("organization")
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return {
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"content": "final answer",
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"usage": {"input_tokens": 4, "output_tokens": 1, "cost": "0.001500"},
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}
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def test_orchestrator_runs_three_stages_in_order() -> None:
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orchestrator = AgentChatOrchestrator(
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intent_stage=_intent_stage,
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execution_stage=_execution_stage,
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organization_stage=_organization_stage,
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)
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result = orchestrator.run_sync(run_id="run-1", user_message="hello")
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assert result.context["sequence"] == ["intent", "execution", "organization"]
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assert result.output == "final answer"
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assert result.usage["total_tokens"] == 13
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assert result.events[0]["type"] == "run.started"
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assert result.events[-1]["type"] == "run.completed"
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async def _failing_execution_stage(
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*, message: str, context: dict[str, object]
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) -> dict[str, object]:
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sequence = context.setdefault("sequence", [])
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if isinstance(sequence, list):
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sequence.append("execution")
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raise RuntimeError("boom")
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def test_orchestrator_stops_and_marks_failed_when_middle_stage_raises() -> None:
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orchestrator = AgentChatOrchestrator(
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intent_stage=_intent_stage,
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execution_stage=_failing_execution_stage,
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organization_stage=_organization_stage,
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)
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result = orchestrator.run_sync(run_id="run-2", user_message="hello")
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assert result.context["sequence"] == ["intent", "execution"]
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assert result.events[-1]["type"] == "run.failed"
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assert result.events[-1]["run_id"] == "run-2"
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assert "boom" in (result.events[-1].get("error") or "")
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assert result.failed is True
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assert "boom" in (result.error or "")
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def test_orchestrator_emits_stage_event_payload_shape() -> None:
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orchestrator = AgentChatOrchestrator(
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intent_stage=_intent_stage,
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execution_stage=_execution_stage,
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organization_stage=_organization_stage,
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)
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result = orchestrator.run_sync(run_id="run-3", user_message="hello")
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for event in result.events:
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assert "type" in event
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assert event.get("run_id") == "run-3"
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stage_events = [
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event for event in result.events if event["type"] == "stage.completed"
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]
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assert [event["stage"] for event in stage_events] == [
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"intent",
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"execution",
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"organization",
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]
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@@ -1,23 +0,0 @@
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from __future__ import annotations
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from datetime import datetime
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from v1.agent.service import build_session_title
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def test_build_session_title_truncates_first_message() -> None:
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now = datetime(2026, 2, 25, 10, 30)
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title = build_session_title(
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"这是一个非常长的标题会被截断到二十四个可见字符用于会话摘要", now=now
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)
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assert len(title) == 24
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def test_build_session_title_falls_back_when_message_empty() -> None:
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now = datetime(2026, 2, 25, 10, 30)
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title = build_session_title("\n ", now=now)
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assert title == "新对话 2026-02-25 10:30"
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