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Author SHA1 Message Date
Devin AI
142ae7ed59 style: Fix import sorting in test_knowledge_utils.py
- Sort and format imports according to ruff linter rules
- Fix I001 linting errors

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:29:25 +00:00
Devin AI
daa40ed630 test: Update knowledge tests to match new format
- Update test assertions to match new knowledge context format
- Replace API-dependent test with mock-based approach
- Ensure tests can run without external API access

Part of #2269

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:22:52 +00:00
Devin AI
be4b8cfac2 test: Add knowledge effectiveness test
- Add test to verify knowledge is effectively used in agent execution
- Test checks that knowledge from agent is correctly used in response
- Verifies fix for issue #2269

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:17:46 +00:00
Devin AI
07639dff30 fix: Include agent context in knowledge queries
- Add agent role, goal, and backstory to knowledge queries
- This helps retrieve more relevant knowledge based on agent context
- Improves knowledge effectiveness in agent execution

Part of #2269

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:17:00 +00:00
Devin AI
121c3717b9 fix: Lower knowledge search score threshold for better recall
- Reduce score threshold from 0.35 to 0.25 to include more relevant results
- This helps improve knowledge effectiveness while maintaining quality

Part of #2269

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:16:44 +00:00
Devin AI
978d3a19c6 fix: Improve knowledge context formatting for better LLM effectiveness
- Make knowledge context more explicit and instructive for LLM
- Add clear instructions to use provided context
- Add comprehensive test coverage for knowledge utils

Fixes #2269

Co-Authored-By: Joe Moura <joao@crewai.com>
2025-03-04 04:16:26 +00:00
4 changed files with 83 additions and 4 deletions

View File

@@ -210,7 +210,13 @@ class Agent(BaseAgent):
task_prompt += self.i18n.slice("memory").format(memory=memory)
if self.knowledge:
agent_knowledge_snippets = self.knowledge.query([task.prompt()])
query_context = [
task.prompt(),
f"Role: {self.role}",
f"Goal: {self.goal}",
f"Backstory: {self.backstory}"
]
agent_knowledge_snippets = self.knowledge.query(query_context)
if agent_knowledge_snippets:
agent_knowledge_context = extract_knowledge_context(
agent_knowledge_snippets

View File

@@ -59,7 +59,7 @@ class KnowledgeStorage(BaseKnowledgeStorage):
query: List[str],
limit: int = 3,
filter: Optional[dict] = None,
score_threshold: float = 0.35,
score_threshold: float = 0.25,
) -> List[Dict[str, Any]]:
with suppress_logging():
if self.collection:

View File

@@ -2,11 +2,19 @@ from typing import Any, Dict, List
def extract_knowledge_context(knowledge_snippets: List[Dict[str, Any]]) -> str:
"""Extract knowledge from the task prompt."""
"""Extract knowledge from the task prompt and format it for effective LLM usage."""
valid_snippets = [
result["context"]
for result in knowledge_snippets
if result and result.get("context")
]
if not valid_snippets:
return ""
snippet = "\n".join(valid_snippets)
return f"Additional Information: {snippet}" if valid_snippets else ""
return (
"Important Context (You MUST use this information to complete your task "
"accurately and effectively):\n"
f"{snippet}\n\n"
"Make sure to incorporate the above context into your response."
)

View File

@@ -0,0 +1,65 @@
"""Test knowledge utils functionality."""
from typing import Any, Dict, List
import pytest
from crewai.knowledge.utils.knowledge_utils import extract_knowledge_context
def test_extract_knowledge_context_with_valid_snippets():
"""Test extracting knowledge context with valid snippets."""
snippets = [
{"context": "Fact 1: The sky is blue", "score": 0.9},
{"context": "Fact 2: Water is wet", "score": 0.8},
]
result = extract_knowledge_context(snippets)
expected = "Important Context (You MUST use this information to complete your task accurately and effectively):\nFact 1: The sky is blue\nFact 2: Water is wet\n\nMake sure to incorporate the above context into your response."
assert result == expected
def test_extract_knowledge_context_with_empty_snippets():
"""Test extracting knowledge context with empty snippets."""
snippets: List[Dict[str, Any]] = []
result = extract_knowledge_context(snippets)
assert result == ""
def test_extract_knowledge_context_with_none_snippets():
"""Test extracting knowledge context with None snippets."""
snippets = [None, {"context": "Valid context"}] # type: ignore
result = extract_knowledge_context(snippets)
assert result == "Important Context (You MUST use this information to complete your task accurately and effectively):\nValid context\n\nMake sure to incorporate the above context into your response."
def test_extract_knowledge_context_with_missing_context():
"""Test extracting knowledge context with missing context."""
snippets = [{"score": 0.9}, {"context": "Valid context"}]
result = extract_knowledge_context(snippets)
assert result == "Important Context (You MUST use this information to complete your task accurately and effectively):\nValid context\n\nMake sure to incorporate the above context into your response."
def test_knowledge_effectiveness():
"""Test that knowledge is effectively used in agent execution."""
from unittest.mock import MagicMock, patch
import pytest
from crewai.knowledge.utils.knowledge_utils import extract_knowledge_context
# Create mock knowledge snippets
knowledge_snippets = [
{"context": "The capital of France is Paris. The Eiffel Tower is located in Paris.", "score": 0.9}
]
# Test that the extract_knowledge_context function formats the knowledge correctly
knowledge_context = extract_knowledge_context(knowledge_snippets)
# Verify the knowledge context contains the expected information
assert "paris" in knowledge_context.lower()
assert "capital" in knowledge_context.lower()
assert "france" in knowledge_context.lower()
# Verify the format is correct
assert knowledge_context.startswith("Important Context")
assert "Make sure to incorporate the above context" in knowledge_context