liteagent supports apps and mcps (#3794)
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* liteagent supports apps and mcps

* generated cassettes for these
This commit is contained in:
Lorenze Jay
2025-10-24 18:42:08 -07:00
committed by GitHub
parent a83c57a2f2
commit 494ed7e671
4 changed files with 457 additions and 0 deletions

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@@ -1186,6 +1186,15 @@ class Agent(BaseAgent):
Returns:
LiteAgentOutput: The result of the agent execution.
"""
if self.apps:
platform_tools = self.get_platform_tools(self.apps)
if platform_tools:
self.tools.extend(platform_tools)
if self.mcps:
mcps = self.get_mcp_tools(self.mcps)
if mcps:
self.tools.extend(mcps)
lite_agent = LiteAgent(
id=self.id,
role=self.role,

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@@ -591,3 +591,81 @@ def test_lite_agent_with_invalid_llm():
llm="invalid-model",
)
assert "Expected LLM instance of type BaseLLM" in str(exc_info.value)
@patch.dict("os.environ", {"CREWAI_PLATFORM_INTEGRATION_TOKEN": "test_token"})
@patch("crewai_tools.tools.crewai_platform_tools.crewai_platform_tool_builder.requests.get")
@pytest.mark.vcr(filter_headers=["authorization"])
def test_agent_kickoff_with_platform_tools(mock_get):
"""Test that Agent.kickoff() properly integrates platform tools with LiteAgent"""
mock_response = Mock()
mock_response.raise_for_status.return_value = None
mock_response.json.return_value = {
"actions": {
"github": [
{
"name": "create_issue",
"description": "Create a GitHub issue",
"parameters": {
"type": "object",
"properties": {
"title": {"type": "string", "description": "Issue title"},
"body": {"type": "string", "description": "Issue body"},
},
"required": ["title"],
},
}
]
}
}
mock_get.return_value = mock_response
agent = Agent(
role="Test Agent",
goal="Test goal",
backstory="Test backstory",
llm=LLM(model="gpt-3.5-turbo"),
apps=["github"],
verbose=True
)
result = agent.kickoff("Create a GitHub issue")
assert isinstance(result, LiteAgentOutput)
assert result.raw is not None
@patch.dict("os.environ", {"EXA_API_KEY": "test_exa_key"})
@patch("crewai.agent.Agent._get_external_mcp_tools")
@pytest.mark.vcr(filter_headers=["authorization"])
def test_agent_kickoff_with_mcp_tools(mock_get_mcp_tools):
"""Test that Agent.kickoff() properly integrates MCP tools with LiteAgent"""
# Setup mock MCP tools - create a proper BaseTool instance
class MockMCPTool(BaseTool):
name: str = "exa_search"
description: str = "Search the web using Exa"
def _run(self, query: str) -> str:
return f"Mock search results for: {query}"
mock_get_mcp_tools.return_value = [MockMCPTool()]
# Create agent with MCP servers
agent = Agent(
role="Test Agent",
goal="Test goal",
backstory="Test backstory",
llm=LLM(model="gpt-3.5-turbo"),
mcps=["https://mcp.exa.ai/mcp?api_key=test_exa_key&profile=research"],
verbose=True
)
# Execute kickoff
result = agent.kickoff("Search for information about AI")
# Verify the result is a LiteAgentOutput
assert isinstance(result, LiteAgentOutput)
assert result.raw is not None
# Verify MCP tools were retrieved
mock_get_mcp_tools.assert_called_once_with("https://mcp.exa.ai/mcp?api_key=test_exa_key&profile=research")

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