feat: implement knowledge retrieval events in Agent

This commit introduces a series of knowledge retrieval events in the Agent class, enhancing its ability to handle knowledge queries. New events include KnowledgeRetrievalStartedEvent, KnowledgeRetrievalCompletedEvent, KnowledgeQueryGeneratedEvent, KnowledgeQueryFailedEvent, and KnowledgeSearchQueryCompletedEvent. The Agent now emits these events during knowledge retrieval processes, allowing for better tracking and handling of knowledge queries. Additionally, the console formatter has been updated to handle these new events, providing visual feedback during knowledge retrieval operations.
2026-01-25 16:18:13 +00:00 · 2025-04-29 22:09:46 -07:00
parent 25c8155609
commit e54a470493
7 changed files with 1272 additions and 48 deletions
--- a/tests/agent_test.py
+++ b/tests/agent_test.py
@@ -9,7 +9,6 @@ import pytest
 from crewai import Agent, Crew, Task
 from crewai.agents.cache import CacheHandler
 from crewai.agents.crew_agent_executor import AgentFinish, CrewAgentExecutor
-from crewai.agents.parser import CrewAgentParser, OutputParserException
 from crewai.knowledge.knowledge import Knowledge
 from crewai.knowledge.knowledge_config import KnowledgeConfig
 from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
@@ -73,6 +72,7 @@ def test_agent_creation():
    assert agent.goal == "test goal"
    assert agent.backstory == "test backstory"

+
 def test_agent_with_only_system_template():
    """Test that an agent with only system_template works without errors."""
    agent = Agent(
@@ -88,6 +88,7 @@ def test_agent_with_only_system_template():
    assert agent.goal == "Test Goal"
    assert agent.backstory == "Test Backstory"

+
 def test_agent_with_only_prompt_template():
    """Test that an agent with only system_template works without errors."""
    agent = Agent(
@@ -119,7 +120,8 @@ def test_agent_with_missing_response_template():
    assert agent.role == "Test Role"
    assert agent.goal == "Test Goal"
    assert agent.backstory == "Test Backstory"
-    
+
+
 def test_agent_default_values():
    agent = Agent(role="test role", goal="test goal", backstory="test backstory")
    assert agent.llm.model == "gpt-4o-mini"
@@ -1803,6 +1805,42 @@ def test_agent_with_knowledge_sources_works_with_copy():
            assert isinstance(agent_copy.llm, LLM)


+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_with_knowledge_sources_generate_search_query():
+    content = "Brandon's favorite color is red and he likes Mexican food."
+    string_source = StringKnowledgeSource(content=content)
+
+    with patch(
+        "crewai.knowledge.storage.knowledge_storage.KnowledgeStorage"
+    ) as MockKnowledge:
+        mock_knowledge_instance = MockKnowledge.return_value
+        mock_knowledge_instance.sources = [string_source]
+        mock_knowledge_instance.query.return_value = [{"content": content}]
+
+        agent = Agent(
+            role="Information Agent with extensive role description that is longer than 80 characters",
+            goal="Provide information based on knowledge sources",
+            backstory="You have access to specific knowledge sources.",
+            llm=LLM(model="gpt-4o-mini"),
+            knowledge_sources=[string_source],
+        )
+
+        task = Task(
+            description="What is Brandon's favorite color?",
+            expected_output="The answer to the question, in a format like this: `{{name: str, favorite_color: str}}`",
+            agent=agent,
+        )
+
+        crew = Crew(agents=[agent], tasks=[task])
+        result = crew.kickoff()
+
+        # Updated assertion to check the JSON content
+        assert "Brandon" in str(agent.knowledge_search_query)
+        assert "favorite_color" in str(agent.knowledge_search_query)
+
+        assert "red" in result.raw.lower()
+
+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_litellm_auth_error_handling():
    """Test that LiteLLM authentication errors are handled correctly and not retried."""
--- a/tests/cassettes/test_agent_with_knowledge_sources_generate_search_query.yaml
+++ b/tests/cassettes/test_agent_with_knowledge_sources_generate_search_query.yaml
@@ -0,0 +1,832 @@
+interactions:
+- request:
+    body: '{"input": ["Brandon''s favorite color is red and he likes Mexican food."],
+      "model": "text-embedding-3-small", "encoding_format": "base64"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '137'
+      content-type:
+      - application/json
+      host:
+      - api.openai.com
+      user-agent:
+      - OpenAI/Python 1.68.2
+      x-stainless-arch:
+      - arm64
+      x-stainless-async:
+      - 'false'
+      x-stainless-lang:
+      - python
+      x-stainless-os:
+      - MacOS
+      x-stainless-package-version:
+      - 1.68.2
+      x-stainless-read-timeout:
+      - '600'
+      x-stainless-retry-count:
+      - '0'
+      x-stainless-runtime:
+      - CPython
+      x-stainless-runtime-version:
+      - 3.12.9
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+    uri: https://api.openai.com/v1/embeddings
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