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ensure we support bedrock

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This commit is contained in:
lorenzejay
2026-01-22 13:29:49 -08:00
parent a61cfb258f
commit 89e961e08e
6 changed files with 670 additions and 44 deletions
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16
lib/crewai/src/crewai/agents/crew_agent_executor.py
View File

@@ -517,7 +517,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
isinstance(first_item, dict) and "function" in first_item
):
return True
# Anthropic-style
# Anthropic-style (object with attributes)
if (
hasattr(first_item, "type")
and getattr(first_item, "type", None) == "tool_use"
@@ -525,6 +525,13 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
return True
if hasattr(first_item, "name") and hasattr(first_item, "input"):
return True
# Bedrock-style (dict with name and input keys)
if (
isinstance(first_item, dict)
and "name" in first_item
and "input" in first_item
):
return True
# Gemini-style
if hasattr(first_item, "function_call") and first_item.function_call:
return True
@@ -585,7 +592,12 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
func_name = tool_call.name
func_args = tool_call.input # Already a dict in Anthropic
elif isinstance(tool_call, dict):
call_id = tool_call.get("id", f"call_{id(tool_call)}")
# Support OpenAI "id", Bedrock "toolUseId", or generate one
call_id = (
tool_call.get("id")
or tool_call.get("toolUseId")
or f"call_{id(tool_call)}"
)
func_info = tool_call.get("function", {})
func_name = func_info.get("name", "") or tool_call.get("name", "")
func_args = func_info.get("arguments", "{}") or tool_call.get("input", {})

7
lib/crewai/src/crewai/experimental/agent_executor.py
View File

@@ -263,6 +263,13 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
return True
if hasattr(first_item, "name") and hasattr(first_item, "input"):
return True
# Check for Bedrock-style tool call structure (dict with name and input keys)
if (
isinstance(first_item, dict)
and "name" in first_item
and "input" in first_item
):
return True
# Check for Gemini-style function call (Part with function_call)
if hasattr(first_item, "function_call") and first_item.function_call:
return True

120
lib/crewai/src/crewai/llms/providers/bedrock/completion.py
View File

@@ -330,7 +330,8 @@ class BedrockCompletion(BaseLLM):
cast(object, [{"text": system_message}]),
)
# Add tool config if present
# Add tool config if present or if messages contain tool content
# Bedrock requires toolConfig when messages have toolUse/toolResult
if tools:
tool_config: ToolConfigurationTypeDef = {
"tools": cast(
@@ -339,6 +340,16 @@ class BedrockCompletion(BaseLLM):
)
}
body["toolConfig"] = tool_config
elif self._messages_contain_tool_content(formatted_messages):
# Create minimal toolConfig from tool history in messages
tools_from_history = self._extract_tools_from_message_history(
formatted_messages
)
if tools_from_history:
body["toolConfig"] = cast(
"ToolConfigurationTypeDef",
cast(object, {"tools": tools_from_history}),
)
# Add optional advanced features if configured
if self.guardrail_config:
@@ -444,6 +455,8 @@ class BedrockCompletion(BaseLLM):
cast(object, [{"text": system_message}]),
)
# Add tool config if present or if messages contain tool content
# Bedrock requires toolConfig when messages have toolUse/toolResult
if tools:
tool_config: ToolConfigurationTypeDef = {
"tools": cast(
@@ -452,6 +465,16 @@ class BedrockCompletion(BaseLLM):
)
}
body["toolConfig"] = tool_config
elif self._messages_contain_tool_content(formatted_messages):
# Create minimal toolConfig from tool history in messages
tools_from_history = self._extract_tools_from_message_history(
formatted_messages
)
if tools_from_history:
body["toolConfig"] = cast(
"ToolConfigurationTypeDef",
cast(object, {"tools": tools_from_history}),
)
if self.guardrail_config:
guardrail_config: GuardrailConfigurationTypeDef = cast(
@@ -1290,6 +1313,8 @@ class BedrockCompletion(BaseLLM):
for message in formatted_messages:
role = message.get("role")
content = message.get("content", "")
tool_calls = message.get("tool_calls")
tool_call_id = message.get("tool_call_id")
if role == "system":
# Extract system message - Converse API handles it separately
@@ -1297,9 +1322,48 @@ class BedrockCompletion(BaseLLM):
system_message += f"\n\n{content}"
else:
system_message = cast(str, content)
elif role == "assistant" and tool_calls:
# Convert OpenAI-style tool_calls to Bedrock toolUse format
bedrock_content = []
for tc in tool_calls:
func = tc.get("function", {})
tool_use_block = {
"toolUse": {
"toolUseId": tc.get("id", f"call_{id(tc)}"),
"name": func.get("name", ""),
"input": func.get("arguments", {})
if isinstance(func.get("arguments"), dict)
else json.loads(func.get("arguments", "{}") or "{}"),
}
}
bedrock_content.append(tool_use_block)
converse_messages.append(
{"role": "assistant", "content": bedrock_content}
)
elif role == "tool" and tool_call_id:
# Convert OpenAI-style tool response to Bedrock toolResult format
converse_messages.append(
{
"role": "user",
"content": [
{
"toolResult": {
"toolUseId": tool_call_id,
"content": [
{"text": str(content) if content else ""}
],
}
}
],
}
)
else:
# Convert to Converse API format with proper content structure
converse_messages.append({"role": role, "content": [{"text": content}]})
# Ensure content is not None
text_content = content if content else ""
converse_messages.append(
{"role": role, "content": [{"text": text_content}]}
)
# CRITICAL: Handle model-specific conversation requirements
# Cohere and some other models require conversation to end with user message
@@ -1349,6 +1413,58 @@ class BedrockCompletion(BaseLLM):
return converse_messages, system_message
@staticmethod
def _messages_contain_tool_content(messages: list[LLMMessage]) -> bool:
"""Check if messages contain toolUse or toolResult content blocks.
Bedrock requires toolConfig when messages have tool-related content.
"""
for message in messages:
content = message.get("content", [])
if isinstance(content, list):
for block in content:
if isinstance(block, dict):
if "toolUse" in block or "toolResult" in block:
return True
return False
@staticmethod
def _extract_tools_from_message_history(
messages: list[LLMMessage],
) -> list[dict[str, Any]]:
"""Extract tool definitions from toolUse blocks in message history.
When no tools are passed but messages contain toolUse, we need to
recreate a minimal toolConfig to satisfy Bedrock's API requirements.
"""
tools: list[dict[str, Any]] = []
seen_tool_names: set[str] = set()
for message in messages:
content = message.get("content", [])
if isinstance(content, list):
for block in content:
if isinstance(block, dict) and "toolUse" in block:
tool_use = block["toolUse"]
tool_name = tool_use.get("name", "")
if tool_name and tool_name not in seen_tool_names:
seen_tool_names.add(tool_name)
# Create a minimal tool spec from the toolUse block
tool_spec: dict[str, Any] = {
"toolSpec": {
"name": tool_name,
"description": f"Tool: {tool_name}",
"inputSchema": {
"json": {
"type": "object",
"properties": {},
}
},
}
}
tools.append(tool_spec)
return tools
@staticmethod
def _format_tools_for_converse(
tools: list[dict[str, Any]],

3
lib/crewai/src/crewai/utilities/agent_utils.py
View File

@@ -875,7 +875,8 @@ def extract_tool_call_info(
call_id = getattr(tool_call, "id", f"call_{id(tool_call)}")
return call_id, tool_call.name, tool_call.input
if isinstance(tool_call, dict):
call_id = tool_call.get("id", f"call_{id(tool_call)}")
# Support OpenAI "id", Bedrock "toolUseId", or generate one
call_id = tool_call.get("id") or tool_call.get("toolUseId") or f"call_{id(tool_call)}"
func_info = tool_call.get("function", {})
func_name = func_info.get("name", "") or tool_call.get("name", "")
func_args = func_info.get("arguments", "{}") or tool_call.get("input", {})

83
lib/crewai/tests/agents/test_native_tool_calling.py
View File

@@ -241,26 +241,26 @@ class TestGeminiNativeToolCalling:
self, calculator_tool: CalculatorTool
) -> None:
"""Test Gemini agent can use native tool calling."""
with patch.dict(os.environ, {"GOOGLE_GENAI_USE_VERTEXAI": "true"}):
agent = Agent(
role="Math Assistant",
goal="Help users with mathematical calculations",
backstory="You are a helpful math assistant.",
tools=[calculator_tool],
llm=LLM(model="gemini/gemini-2.0-flash-exp"),
)
task = Task(
description="Calculate what is 15 * 8",
expected_output="The result of the calculation",
agent=agent,
)
agent = Agent(
role="Math Assistant",
goal="Help users with mathematical calculations",
backstory="You are a helpful math assistant.",
tools=[calculator_tool],
llm=LLM(model="gemini/gemini-2.0-flash-exp"),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
task = Task(
description="Calculate what is 15 * 8",
expected_output="The result of the calculation",
agent=agent,
)
assert result is not None
assert result.raw is not None
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
assert result is not None
assert result.raw is not None
def test_gemini_agent_kickoff_with_tools_mocked(
self, calculator_tool: CalculatorTool
@@ -387,40 +387,45 @@ class TestBedrockNativeToolCalling:
def mock_aws_env(self):
"""Mock AWS environment variables for tests."""
env_vars = {
"AWS_ACCESS_KEY_ID": "test-key",
"AWS_SECRET_ACCESS_KEY": "test-secret",
"AWS_REGION": "us-east-1",
"AWS_ACCESS_KEY_ID": "test-key",
"AWS_SECRET_ACCESS_KEY": "test-secret",
"AWS_REGION": "us-east-1",
}
with patch.dict(os.environ, env_vars):
if "AWS_ACCESS_KEY_ID" not in os.environ:
with patch.dict(os.environ, env_vars):
yield
else:
yield
@pytest.mark.vcr()
def test_bedrock_agent_kickoff_with_tools_mocked(
self, calculator_tool: CalculatorTool
) -> None:
"""Test Bedrock agent kickoff with mocked LLM call."""
llm = LLM(model="bedrock/anthropic.claude-3-haiku-20240307-v1:0")
with patch.object(llm, "call", return_value="The answer is 120.") as mock_call:
agent = Agent(
role="Math Assistant",
goal="Calculate math",
backstory="You calculate.",
tools=[calculator_tool],
llm=llm,
verbose=False,
)
agent = Agent(
role="Math Assistant",
goal="Calculate math",
backstory="You calculate.",
tools=[calculator_tool],
llm=llm,
verbose=False,
max_iter=5,
)
task = Task(
description="Calculate 15 * 8",
expected_output="Result",
agent=agent,
)
task = Task(
description="Calculate 15 * 8",
expected_output="Result",
agent=agent,
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
assert mock_call.called
assert result is not None
assert result is not None
assert result.raw is not None
assert "120" in str(result.raw)
# =============================================================================

485
lib/crewai/tests/cassettes/agents/TestBedrockNativeToolCalling.test_bedrock_agent_kickoff_with_tools_mocked.yaml Normal file
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@@ -0,0 +1,485 @@
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