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Fix agent knowledge (#2831)
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* Added add_sources() * Fixed the agent knowledge querying * Added test cases * Fixed linting issue * Fixed logic * Seems like a falky test case * Minor changes * Added knowledge attriute to the crew documentation * Flaky test * fixed spaces * Flaky Test Case * Seems like a flaky test case --------- Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
This commit is contained in:
@@ -1896,6 +1896,80 @@ def test_agent_with_knowledge_sources_generate_search_query():
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assert "red" in result.raw.lower()
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@pytest.mark.vcr(record_mode='none', filter_headers=["authorization"])
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def test_agent_with_knowledge_with_no_crewai_knowledge():
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mock_knowledge = MagicMock(spec=Knowledge)
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agent = Agent(
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role="Information Agent",
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goal="Provide information based on knowledge sources",
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backstory="You have access to specific knowledge sources.",
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llm=LLM(model="openrouter/openai/gpt-4o-mini",api_key=os.getenv('OPENROUTER_API_KEY')),
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knowledge=mock_knowledge
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)
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# Create a task that requires the agent to use the knowledge
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task = Task(
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description="What is Vidit's favorite color?",
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expected_output="Vidit's favorclearite color.",
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agent=agent,
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)
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crew = Crew(agents=[agent], tasks=[task])
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crew.kickoff()
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mock_knowledge.query.assert_called_once()
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@pytest.mark.vcr(record_mode='none', filter_headers=["authorization"])
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def test_agent_with_only_crewai_knowledge():
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mock_knowledge = MagicMock(spec=Knowledge)
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agent = Agent(
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role="Information Agent",
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goal="Provide information based on knowledge sources",
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backstory="You have access to specific knowledge sources.",
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llm=LLM(model="openrouter/openai/gpt-4o-mini",api_key=os.getenv('OPENROUTER_API_KEY'))
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)
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# Create a task that requires the agent to use the knowledge
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task = Task(
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description="What is Vidit's favorite color?",
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expected_output="Vidit's favorclearite color.",
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agent=agent
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)
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crew = Crew(agents=[agent], tasks=[task],knowledge=mock_knowledge)
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crew.kickoff()
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mock_knowledge.query.assert_called_once()
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@pytest.mark.vcr(record_mode='none', filter_headers=["authorization"])
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def test_agent_knowledege_with_crewai_knowledge():
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crew_knowledge = MagicMock(spec=Knowledge)
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agent_knowledge = MagicMock(spec=Knowledge)
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agent = Agent(
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role="Information Agent",
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goal="Provide information based on knowledge sources",
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backstory="You have access to specific knowledge sources.",
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llm=LLM(model="openrouter/openai/gpt-4o-mini",api_key=os.getenv('OPENROUTER_API_KEY')),
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knowledge=agent_knowledge
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)
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# Create a task that requires the agent to use the knowledge
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task = Task(
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description="What is Vidit's favorite color?",
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expected_output="Vidit's favorclearite color.",
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agent=agent,
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)
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crew = Crew(agents=[agent],tasks=[task],knowledge=crew_knowledge)
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crew.kickoff()
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agent_knowledge.query.assert_called_once()
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crew_knowledge.query.assert_called_once()
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@pytest.mark.vcr(filter_headers=["authorization"])
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def test_litellm_auth_error_handling():
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"""Test that LiteLLM authentication errors are handled correctly and not retried."""
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150
tests/cassettes/test_agent_knowledege_with_crewai_knowledge.yaml
Normal file
150
tests/cassettes/test_agent_knowledege_with_crewai_knowledge.yaml
Normal file
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|
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|
||||
documents, and aim to make it more specific and context-aware. \n\n Do not include
|
||||
any other text than the rewritten query, especially any preamble or postamble
|
||||
and only add expected output format if its relevant to the rewritten query.
|
||||
\n\n Focus on the key words of the intended task and to retrieve the most relevant
|
||||
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|
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|
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|
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|
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|
||||
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|
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|
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|
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|
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tests/cassettes/test_agent_with_only_crewai_knowledge.yaml
Normal file
150
tests/cassettes/test_agent_with_only_crewai_knowledge.yaml
Normal file
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