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Brandon/eng 266 conversation crew v1 (#1843)

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* worked on foundation for new conversational crews. Now going to work on chatting.

* core loop should be working and ready for testing.

* high level chat working

* its alive!!

* Added in Joaos feedback to steer crew chats back towards the purpose of the crew

* properly return tool call result

* accessing crew directly instead of through uv commands

* everything is working for conversation now

* Fix linting

* fix llm_utils.py and other type errors

* fix more type errors

* fixing type error

* More fixing of types

* fix failing tests

* Fix more failing tests

* adding tests. cleaing up pr.

* improve

* drop old functions

* improve type hintings
This commit is contained in:
Brandon Hancock (bhancock_ai)
2025-01-06 16:12:43 -05:00
committed by GitHub
parent a2f839fada
commit 8f57753656
17 changed files with 1195 additions and 1035 deletions
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34
src/crewai/task.py
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@@ -393,7 +393,7 @@ class Task(BaseModel):
self.retry_count += 1
context = self.i18n.errors("validation_error").format(
guardrail_result_error=guardrail_result.error,
task_output=task_output.raw
task_output=task_output.raw,
)
printer = Printer()
printer.print(
@@ -431,9 +431,7 @@ class Task(BaseModel):
content = (
json_output
if json_output
else pydantic_output.model_dump_json()
if pydantic_output
else result
else pydantic_output.model_dump_json() if pydantic_output else result
)
self._save_file(content)
@@ -453,8 +451,11 @@ class Task(BaseModel):
tasks_slices = [self.description, output]
return "\n".join(tasks_slices)
def interpolate_inputs(self, inputs: Dict[str, Union[str, int, float]]) -> None:
def interpolate_inputs_and_add_conversation_history(
self, inputs: Dict[str, Union[str, int, float]]
) -> None:
"""Interpolate inputs into the task description, expected output, and output file path.
Add conversation history if present.
Args:
inputs: Dictionary mapping template variables to their values.
@@ -499,6 +500,29 @@ class Task(BaseModel):
f"Error interpolating output_file path: {str(e)}"
) from e
if "crew_chat_messages" in inputs and inputs["crew_chat_messages"]:
conversation_instruction = self.i18n.slice(
"conversation_history_instruction"
)
crew_chat_messages_json = str(inputs["crew_chat_messages"])
try:
crew_chat_messages = json.loads(crew_chat_messages_json)
except json.JSONDecodeError as e:
print("An error occurred while parsing crew chat messages:", e)
raise
conversation_history = "\n".join(
f"{msg['role'].capitalize()}: {msg['content']}"
for msg in crew_chat_messages
if isinstance(msg, dict) and "role" in msg and "content" in msg
)
self.description += (
f"\n\n{conversation_instruction}\n\n{conversation_history}"
)
def interpolate_only(
self, input_string: Optional[str], inputs: Dict[str, Union[str, int, float]]
) -> str: