mirror of
https://github.com/tiennm99/DocsGPT.git
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Alex
cf9a5e9cb8
Agents store their model only in model_id, so neither log_activity nor agent_log_context bound a model key. start_agent_span already reads it.
99 lines
2.9 KiB
Python
99 lines
2.9 KiB
Python
"""A tool continuation stamps its log lines like the turn it resumes."""
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from unittest.mock import Mock
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import pytest
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from docsgpt.core import log_context
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def _agent(seen):
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from docsgpt.agents.classic_agent import ClassicAgent
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def _model_call(*_args, **_kwargs):
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seen.append(dict(log_context.snapshot()))
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return iter(["Answer"])
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llm = Mock()
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llm._supports_tools = True
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llm._supports_structured_output = Mock(return_value=False)
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llm.__class__.__name__ = "MockLLM"
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llm.gen_stream = Mock(side_effect=_model_call)
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llm.gen = Mock(side_effect=_model_call)
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handler = Mock()
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handler.process_message_flow = Mock(return_value=iter([]))
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handler.create_tool_message = Mock(return_value={"role": "tool", "tool_call_id": "c1", "content": "r"})
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executor = Mock()
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executor.tool_calls = []
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executor.prepare_tools_for_llm = Mock(return_value=[])
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executor.get_truncated_tool_calls = Mock(return_value=[])
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def _execute(_tools, _call, _llm_class):
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yield {"type": "tool_call", "data": {"status": "pending"}}
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return ("result", "c1")
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executor.execute = Mock(side_effect=_execute)
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return ClassicAgent(
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endpoint="stream",
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llm_name="openai",
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model_id="gpt-4",
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api_key="test",
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agent_id="aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa",
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decoded_token={"sub": "user-cont"},
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llm=llm,
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llm_handler=handler,
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tool_executor=executor,
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)
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def _resume(agent):
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pending = [
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{
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"call_id": "c1",
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"name": "search_0",
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"tool_name": "search",
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"tool_id": "0",
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"action_name": "search",
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"arguments": {"q": "x"},
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"pause_type": "requires_client_execution",
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"thought_signature": None,
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}
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]
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actions = [{"call_id": "c1", "decision": "approved"}]
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return list(agent.gen_continuation([{"role": "system", "content": "s"}], {"0": {"name": "search"}}, pending, actions))
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@pytest.mark.unit
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def test_model_calls_in_a_continuation_carry_the_turns_identity():
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seen = []
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_resume(_agent(seen))
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assert seen, "the continuation should hand back to the model"
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assert seen[0]["user_id"] == "user-cont"
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assert seen[0]["agent_id"] == "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"
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assert seen[0]["endpoint"] == "stream"
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assert seen[0]["model"] == "gpt-4"
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assert "activity_id" not in seen[0], "a continuation is not an activity of its own"
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@pytest.mark.unit
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def test_the_binding_does_not_outlive_the_continuation():
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_resume(_agent([]))
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assert "user_id" not in log_context.snapshot()
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@pytest.mark.unit
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def test_an_enclosing_activity_keeps_its_id():
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seen = []
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token = log_context.bind(activity_id="act-1")
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try:
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_resume(_agent(seen))
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finally:
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log_context.reset(token)
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assert seen[0]["activity_id"] == "act-1"
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assert seen[0]["user_id"] == "user-cont"
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