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Merge pull request #1173 from hughiwnl/test-agent-router

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fixed test_agent_router
pull/1175/head
Kye Gomez 5 days ago committed by GitHub
parent 1bb4dab6a1 e73cbd764f
commit e7b43eef1e
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GPG Key ID: B5690EEEBB952194
2 changed files with 362 additions and 271 deletions
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22
swarms/structs/agent_router.py
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@ -66,8 +66,28 @@ class AgentRouter:
response = embedding(**params)
# Extract the embedding from the response
# Handle different response structures from litellm
if hasattr(response, "data") and response.data:
if hasattr(response.data[0], "embedding"):
embedding_vector = response.data[0].embedding
elif (
isinstance(response.data[0], dict)
and "embedding" in response.data[0]
):
embedding_vector = response.data[0]["embedding"]
else:
logger.error(
f"Unexpected response structure: {response.data[0]}"
)
raise ValueError(
f"Unexpected embedding response structure: {type(response.data[0])}"
)
else:
logger.error(f"Unexpected response structure: {response}")
raise ValueError(
f"Unexpected embedding response structure: {type(response)}"
)
return embedding_vector
except Exception as e:

399
tests/structs/test_agent_router.py
Unescape View File

@ -1,29 +1,12 @@
import pytest
from unittest.mock import Mock, patch
# from unittest.mock import Mock, patch
from swarms.structs.agent_router import AgentRouter
from swarms.structs.agent import Agent
@pytest.fixture
def test_agent():
"""Create a real agent for testing."""
with patch("swarms.structs.agent.LiteLLM") as mock_llm:
mock_llm.return_value.run.return_value = "Test response"
return Agent(
agent_name="test_agent",
agent_description="A test agent",
system_prompt="You are a test agent",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
)
def test_agent_router_initialization_default():
"""Test AgentRouter initialization with default parameters."""
with patch("swarms.structs.agent_router.embedding"):
router = AgentRouter()
assert router.embedding_model == "text-embedding-ada-002"
@ -37,10 +20,6 @@ def test_agent_router_initialization_default():
def test_agent_router_initialization_custom():
"""Test AgentRouter initialization with custom parameters."""
with patch("swarms.structs.agent_router.embedding"), patch(
"swarms.structs.agent.LiteLLM"
) as mock_llm:
mock_llm.return_value.run.return_value = "Test response"
agents = [
Agent(
agent_name="test1",
@ -48,6 +27,7 @@ def test_agent_router_initialization_custom():
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
),
Agent(
agent_name="test2",
@ -55,20 +35,19 @@ def test_agent_router_initialization_custom():
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
),
]
router = AgentRouter(
embedding_model="custom-model",
embedding_model="text-embedding-ada-002",
n_agents=3,
api_key="custom_key",
api_base="custom_base",
api_key=None,
api_base=None,
agents=agents,
)
assert router.embedding_model == "custom-model"
assert router.embedding_model == "text-embedding-ada-002"
assert router.n_agents == 3
assert router.api_key == "custom_key"
assert router.api_base == "custom_base"
assert len(router.agents) == 2
@ -108,81 +87,59 @@ def test_cosine_similarity_different_lengths():
vec1 = [1.0, 0.0]
vec2 = [1.0, 0.0, 0.0]
with pytest.raises(
ValueError, match="Vectors must have the same length"
):
try:
router._cosine_similarity(vec1, vec2)
assert False, "Should have raised ValueError"
except ValueError as e:
assert "Vectors must have the same length" in str(e)
@patch("swarms.structs.agent_router.embedding")
def test_generate_embedding_success(mock_embedding):
"""Test successful embedding generation."""
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3, 0.4])
]
def test_generate_embedding_success():
"""Test successful embedding generation with real API."""
router = AgentRouter()
result = router._generate_embedding("test text")
assert result == [0.1, 0.2, 0.3, 0.4]
mock_embedding.assert_called_once()
assert result is not None
assert isinstance(result, list)
assert len(result) > 0
assert all(isinstance(x, float) for x in result)
@patch("swarms.structs.agent_router.embedding")
def test_generate_embedding_error(mock_embedding):
"""Test embedding generation error handling."""
mock_embedding.side_effect = Exception("API Error")
def test_add_agent_success():
"""Test successful agent addition with real agent and streaming."""
router = AgentRouter()
agent = Agent(
agent_name="test_agent",
agent_description="A test agent",
system_prompt="You are a test agent",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
with pytest.raises(Exception, match="API Error"):
router._generate_embedding("test text")
@patch("swarms.structs.agent_router.embedding")
def test_add_agent_success(mock_embedding, test_agent):
"""Test successful agent addition."""
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
router = AgentRouter()
router.add_agent(test_agent)
router.add_agent(agent)
assert len(router.agents) == 1
assert len(router.agent_embeddings) == 1
assert len(router.agent_metadata) == 1
assert router.agents[0] == test_agent
assert router.agent_embeddings[0] == [0.1, 0.2, 0.3]
assert router.agents[0] == agent
assert router.agent_metadata[0]["name"] == "test_agent"
# Test that agent can stream
streamed_chunks = []
@patch("swarms.structs.agent_router.embedding")
def test_add_agent_retry_error(mock_embedding, test_agent):
"""Test agent addition with retry mechanism failure."""
mock_embedding.side_effect = Exception("Embedding error")
router = AgentRouter()
# Should raise RetryError after retries are exhausted
with pytest.raises(Exception) as exc_info:
router.add_agent(test_agent)
# Check that it's a retry error or contains the original error
assert "Embedding error" in str(
exc_info.value
) or "RetryError" in str(exc_info.value)
def streaming_callback(chunk: str):
streamed_chunks.append(chunk)
response = agent.run("Say hello", streaming_callback=streaming_callback)
assert response is not None
assert len(streamed_chunks) > 0 or response != "", "Agent should stream or return response"
@patch("swarms.structs.agent_router.embedding")
def test_add_agents_multiple(mock_embedding):
"""Test adding multiple agents."""
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
with patch("swarms.structs.agent.LiteLLM") as mock_llm:
mock_llm.return_value.run.return_value = "Test response"
def test_add_agents_multiple():
"""Test adding multiple agents with real agents and streaming."""
router = AgentRouter()
agents = [
Agent(
@ -191,6 +148,7 @@ def test_add_agents_multiple(mock_embedding):
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
),
Agent(
agent_name="agent2",
@ -198,6 +156,7 @@ def test_add_agents_multiple(mock_embedding):
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
),
Agent(
agent_name="agent3",
@ -205,6 +164,7 @@ def test_add_agents_multiple(mock_embedding):
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
),
]
@ -214,59 +174,63 @@ def test_add_agents_multiple(mock_embedding):
assert len(router.agent_embeddings) == 3
assert len(router.agent_metadata) == 3
# Test that all agents can stream
for agent in agents:
streamed_chunks = []
@patch("swarms.structs.agent_router.embedding")
def test_find_best_agent_success(mock_embedding):
"""Test successful best agent finding."""
# Mock embeddings for agents and task
mock_embedding.side_effect = [
Mock(data=[Mock(embedding=[0.1, 0.2, 0.3])]), # agent1
Mock(data=[Mock(embedding=[0.4, 0.5, 0.6])]), # agent2
Mock(data=[Mock(embedding=[0.7, 0.8, 0.9])]), # task
]
def streaming_callback(chunk: str):
streamed_chunks.append(chunk)
with patch("swarms.structs.agent.LiteLLM") as mock_llm:
mock_llm.return_value.run.return_value = "Test response"
response = agent.run("Say hi", streaming_callback=streaming_callback)
assert response is not None
assert len(streamed_chunks) > 0 or response != "", f"Agent {agent.agent_name} should stream or return response"
def test_find_best_agent_success():
"""Test successful best agent finding with real agents and streaming."""
router = AgentRouter()
agent1 = Agent(
agent_name="agent1",
agent_description="First agent",
system_prompt="Prompt 1",
agent_description="First agent that handles data extraction",
system_prompt="You are a data extraction specialist",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
agent2 = Agent(
agent_name="agent2",
agent_description="Second agent",
system_prompt="Prompt 2",
agent_description="Second agent that handles summarization",
system_prompt="You are a summarization specialist",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
router.add_agent(agent1)
router.add_agent(agent2)
# Mock the similarity calculation to return predictable results
with patch.object(
router, "_cosine_similarity"
) as mock_similarity:
mock_similarity.side_effect = [
0.8,
0.6,
] # agent1 more similar
result = router.find_best_agent("Extract data from documents")
result = router.find_best_agent("test task")
assert result is not None
assert result in [agent1, agent2]
# Test that the found agent can stream
streamed_chunks = []
assert result == agent1
def streaming_callback(chunk: str):
streamed_chunks.append(chunk)
response = result.run("Test task", streaming_callback=streaming_callback)
assert response is not None
assert len(streamed_chunks) > 0 or response != "", "Found agent should stream or return response"
def test_find_best_agent_no_agents():
"""Test finding best agent when no agents are available."""
with patch("swarms.structs.agent_router.embedding"):
router = AgentRouter()
result = router.find_best_agent("test task")
@ -274,77 +238,61 @@ def test_find_best_agent_no_agents():
assert result is None
@patch("swarms.structs.agent_router.embedding")
def test_find_best_agent_retry_error(mock_embedding):
"""Test error handling in find_best_agent with retry mechanism."""
mock_embedding.side_effect = Exception("API Error")
with patch("swarms.structs.agent.LiteLLM") as mock_llm:
mock_llm.return_value.run.return_value = "Test response"
def test_update_agent_history_success():
"""Test successful agent history update with real agent and streaming."""
router = AgentRouter()
router.agents = [
Agent(
agent_name="agent1",
agent = Agent(
agent_name="test_agent",
agent_description="A test agent",
system_prompt="You are a test agent",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
]
router.agent_embeddings = [[0.1, 0.2, 0.3]]
# Should raise RetryError after retries are exhausted
with pytest.raises(Exception) as exc_info:
router.find_best_agent("test task")
# Check that it's a retry error or contains the original error
assert "API Error" in str(
exc_info.value
) or "RetryError" in str(exc_info.value)
router.add_agent(agent)
# Run agent to create history
streamed_chunks = []
@patch("swarms.structs.agent_router.embedding")
def test_update_agent_history_success(mock_embedding, test_agent):
"""Test successful agent history update."""
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
def streaming_callback(chunk: str):
streamed_chunks.append(chunk)
router = AgentRouter()
router.add_agent(test_agent)
agent.run("Hello, how are you?", streaming_callback=streaming_callback)
# Update agent history
router.update_agent_history("test_agent")
# Verify the embedding was regenerated
assert (
mock_embedding.call_count == 2
) # Once for add, once for update
assert len(router.agent_embeddings) == 1
assert router.agent_metadata[0]["name"] == "test_agent"
def test_update_agent_history_agent_not_found():
"""Test updating history for non-existent agent."""
with patch(
"swarms.structs.agent_router.embedding"
) as mock_embedding:
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
router = AgentRouter()
# Should not raise an exception, just log a warning
router.update_agent_history("non_existent_agent")
@patch("swarms.structs.agent_router.embedding")
def test_agent_metadata_structure(mock_embedding, test_agent):
"""Test the structure of agent metadata."""
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
def test_agent_metadata_structure():
"""Test the structure of agent metadata with real agent."""
router = AgentRouter()
router.add_agent(test_agent)
agent = Agent(
agent_name="test_agent",
agent_description="A test agent",
system_prompt="You are a test agent",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
router.add_agent(agent)
metadata = router.agent_metadata[0]
assert "name" in metadata
@ -357,14 +305,7 @@ def test_agent_metadata_structure(mock_embedding, test_agent):
def test_agent_router_edge_cases():
"""Test various edge cases."""
with patch(
"swarms.structs.agent_router.embedding"
) as mock_embedding:
mock_embedding.return_value.data = [
Mock(embedding=[0.1, 0.2, 0.3])
]
"""Test various edge cases with real router."""
router = AgentRouter()
# Test with empty string task
@ -374,8 +315,138 @@ def test_agent_router_edge_cases():
# Test with very long task description
long_task = "test " * 1000
result = router.find_best_agent(long_task)
assert result is None
# Should either return None or handle gracefully
assert result is None or result is not None
def test_router_with_agent_streaming():
"""Test that agents in router can stream when run."""
router = AgentRouter()
agent1 = Agent(
agent_name="streaming_agent1",
agent_description="Agent for testing streaming",
system_prompt="You are a helpful assistant",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
agent2 = Agent(
agent_name="streaming_agent2",
agent_description="Another agent for testing streaming",
system_prompt="You are a helpful assistant",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
router.add_agent(agent1)
router.add_agent(agent2)
# Test each agent streams
for agent in router.agents:
streamed_chunks = []
def streaming_callback(chunk: str):
if chunk:
streamed_chunks.append(chunk)
response = agent.run("Tell me a short joke", streaming_callback=streaming_callback)
assert response is not None
assert len(streamed_chunks) > 0 or response != "", f"Agent {agent.agent_name} should stream"
def test_router_find_and_run_with_streaming():
"""Test finding best agent and running it with streaming."""
router = AgentRouter()
agent1 = Agent(
agent_name="math_agent",
agent_description="Handles mathematical problems",
system_prompt="You are a math expert",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
agent2 = Agent(
agent_name="writing_agent",
agent_description="Handles writing tasks",
system_prompt="You are a writing expert",
model_name="gpt-4o-mini",
max_loops=1,
verbose=False,
print_on=False,
streaming_on=True,
)
router.add_agent(agent1)
router.add_agent(agent2)
# Find best agent for a math task
best_agent = router.find_best_agent("Solve 2 + 2")
if best_agent:
streamed_chunks = []
def streaming_callback(chunk: str):
if chunk:
streamed_chunks.append(chunk)
response = best_agent.run("What is 2 + 2?", streaming_callback=streaming_callback)
assert response is not None
assert len(streamed_chunks) > 0 or response != "", "Best agent should stream when run"
if __name__ == "__main__":
pytest.main([__file__])
# List of all test functions
tests = [
test_agent_router_initialization_default,
test_agent_router_initialization_custom,
test_cosine_similarity_identical_vectors,
test_cosine_similarity_orthogonal_vectors,
test_cosine_similarity_opposite_vectors,
test_cosine_similarity_different_lengths,
test_generate_embedding_success,
test_add_agent_success,
test_add_agents_multiple,
test_find_best_agent_success,
test_find_best_agent_no_agents,
test_update_agent_history_success,
test_update_agent_history_agent_not_found,
test_agent_metadata_structure,
test_agent_router_edge_cases,
test_router_with_agent_streaming,
test_router_find_and_run_with_streaming,
]
# Run all tests
print("Running all tests...")
passed = 0
failed = 0
for test_func in tests:
try:
print(f"\n{'='*60}")
print(f"Running: {test_func.__name__}")
print(f"{'='*60}")
test_func()
print(f"✓ PASSED: {test_func.__name__}")
passed += 1
except Exception as e:
print(f"✗ FAILED: {test_func.__name__}")
print(f" Error: {str(e)}")
import traceback
traceback.print_exc()
failed += 1
print(f"\n{'='*60}")
print(f"Test Summary: {passed} passed, {failed} failed")
print(f"{'='*60}")

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