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feat: native multimodal file handling; openai responses api

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- add input_files parameter to Crew.kickoff(), Flow.kickoff(), Task, and Agent.kickoff()
- add provider-specific file uploaders for OpenAI, Anthropic, Gemini, and Bedrock
- add file type detection, constraint validation, and automatic format conversion
- add URL file source support for multimodal content
- add streaming uploads for large files
- add prompt caching support for Anthropic
- add OpenAI Responses API support
This commit is contained in:
Greyson LaLonde
2026-01-23 15:13:25 -05:00
committed by GitHub
parent bd4d039f63
commit c4c9208229
303 changed files with 46268 additions and 8097 deletions
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175
lib/crewai/tests/agents/test_lite_agent.py
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@@ -829,3 +829,178 @@ def test_lite_agent_standalone_still_works():
assert result is not None
assert isinstance(result, LiteAgentOutput)
assert result.raw is not None
def test_agent_kickoff_with_files_parameter():
"""Test that Agent.kickoff() accepts and passes files to the executor."""
from unittest.mock import Mock, patch
from crewai_files import File
from crewai.types.usage_metrics import UsageMetrics
mock_llm = Mock(spec=LLM)
mock_llm.call.return_value = "Final Answer: I can see the file content."
mock_llm.stop = []
mock_llm.supports_stop_words.return_value = False
mock_llm.get_token_usage_summary.return_value = UsageMetrics(
total_tokens=100,
prompt_tokens=50,
completion_tokens=50,
cached_prompt_tokens=0,
successful_requests=1,
)
agent = Agent(
role="File Analyzer",
goal="Analyze files",
backstory="An agent that analyzes files",
llm=mock_llm,
verbose=False,
)
test_file = File(source=b"mock pdf content")
input_files = {"document.pdf": test_file}
with patch.object(
agent, "_prepare_kickoff", wraps=agent._prepare_kickoff
) as mock_prepare:
result = agent.kickoff(messages="Analyze the document", input_files=input_files)
mock_prepare.assert_called_once()
call_args = mock_prepare.call_args
assert call_args.args[0] == "Analyze the document"
called_files = call_args.kwargs.get("input_files") or call_args.args[2]
assert "document.pdf" in called_files
assert called_files["document.pdf"] is test_file
assert result is not None
def test_prepare_kickoff_extracts_files_from_messages():
"""Test that _prepare_kickoff extracts files from messages."""
from unittest.mock import Mock
from crewai_files import File
from crewai.types.usage_metrics import UsageMetrics
mock_llm = Mock(spec=LLM)
mock_llm.call.return_value = "Final Answer: Done."
mock_llm.stop = []
mock_llm.supports_stop_words.return_value = False
mock_llm.get_token_usage_summary.return_value = UsageMetrics(
total_tokens=100,
prompt_tokens=50,
completion_tokens=50,
cached_prompt_tokens=0,
successful_requests=1,
)
agent = Agent(
role="Test Agent",
goal="Test files",
backstory="Test backstory",
llm=mock_llm,
verbose=False,
)
test_file = File(source=b"mock image content")
messages = [
{"role": "user", "content": "Analyze this", "files": {"img.png": test_file}}
]
executor, inputs, agent_info, parsed_tools = agent._prepare_kickoff(messages=messages)
assert "files" in inputs
assert "img.png" in inputs["files"]
assert inputs["files"]["img.png"] is test_file
def test_prepare_kickoff_merges_files_from_messages_and_parameter():
"""Test that _prepare_kickoff merges files from messages and parameter."""
from unittest.mock import Mock
from crewai_files import File
from crewai.types.usage_metrics import UsageMetrics
mock_llm = Mock(spec=LLM)
mock_llm.call.return_value = "Final Answer: Done."
mock_llm.stop = []
mock_llm.supports_stop_words.return_value = False
mock_llm.get_token_usage_summary.return_value = UsageMetrics(
total_tokens=100,
prompt_tokens=50,
completion_tokens=50,
cached_prompt_tokens=0,
successful_requests=1,
)
agent = Agent(
role="Test Agent",
goal="Test files",
backstory="Test backstory",
llm=mock_llm,
verbose=False,
)
msg_file = File(source=b"message file content")
param_file = File(source=b"param file content")
messages = [
{"role": "user", "content": "Analyze these", "files": {"from_msg.png": msg_file}}
]
input_files = {"from_param.pdf": param_file}
executor, inputs, agent_info, parsed_tools = agent._prepare_kickoff(
messages=messages, input_files=input_files
)
assert "files" in inputs
assert "from_msg.png" in inputs["files"]
assert "from_param.pdf" in inputs["files"]
assert inputs["files"]["from_msg.png"] is msg_file
assert inputs["files"]["from_param.pdf"] is param_file
def test_prepare_kickoff_param_files_override_message_files():
"""Test that files parameter overrides files from messages with same name."""
from unittest.mock import Mock
from crewai_files import File
from crewai.types.usage_metrics import UsageMetrics
mock_llm = Mock(spec=LLM)
mock_llm.call.return_value = "Final Answer: Done."
mock_llm.stop = []
mock_llm.supports_stop_words.return_value = False
mock_llm.get_token_usage_summary.return_value = UsageMetrics(
total_tokens=100,
prompt_tokens=50,
completion_tokens=50,
cached_prompt_tokens=0,
successful_requests=1,
)
agent = Agent(
role="Test Agent",
goal="Test files",
backstory="Test backstory",
llm=mock_llm,
verbose=False,
)
msg_file = File(source=b"message file content")
param_file = File(source=b"param file content")
messages = [
{"role": "user", "content": "Analyze", "files": {"same.png": msg_file}}
]
input_files = {"same.png": param_file}
executor, inputs, agent_info, parsed_tools = agent._prepare_kickoff(
messages=messages, input_files=input_files
)
assert "files" in inputs
assert inputs["files"]["same.png"] is param_file # param takes precedence

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lib/crewai/tests/cassettes/TestAgentMultimodalAnthropic.test_pdf_file[anthropic-claude-3-5-haiku-20241022].yaml Normal file
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lib/crewai/tests/cassettes/llms/TestGenericFileIntegration.test_generic_file_pdf_anthropic.yaml Normal file
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lib/crewai/tests/cassettes/llms/TestGenericFileIntegration.test_generic_file_text_gemini.yaml Normal file
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