mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-10 00:28:31 +00:00
Lorenzejay/byoa (#776)
* better spacing * works with llama index * works on langchain custom just need delegation to work * cleanup for custom_agent class * works with different argument expectations for agent_executor * cleanup for hierarchial process, better agent_executor args handler and added to the crew agent doc page * removed code examples for langchain + llama index, added to docs instead * added key output if return is not a str for and added some tests * added hinting for CustomAgent class * removed pass as it was not needed * closer just need to figuire ou agentTools * running agents - llamaindex and langchain with base agent * some cleanup on baseAgent * minimum for agent to run for base class and ensure it works with hierarchical process * cleanup for original agent to take on BaseAgent class * Agent takes on langchainagent and cleanup across * token handling working for usage_metrics to continue working * installed llama-index, updated docs and added better name * fixed some type errors * base agent holds token_process * heirarchail process uses proper tools and no longer relies on hasattr for token_processes * removal of test_custom_agent_executions * this fixes copying agents * leveraging an executor class for trigger llamaindex agent * llama index now has ask_human * executor mixins added * added output converter base class * type listed * cleanup for output conversions and tokenprocess eliminated redundancy * properly handling tokens * simplified token calc handling * original agent with base agent builder structure setup * better docs * no more llama-index dep * cleaner docs * test fixes * poetry reverts and better docs * base_agent_tools set for third party agents * updated task and test fix
This commit is contained in:
@@ -1,9 +1,11 @@
|
||||
import json
|
||||
from typing import Any, Optional
|
||||
|
||||
from langchain.schema import HumanMessage, SystemMessage
|
||||
from langchain_openai import ChatOpenAI
|
||||
from pydantic import BaseModel, Field, PrivateAttr, model_validator
|
||||
from pydantic import model_validator
|
||||
from crewai.agents.agent_builder.utilities.base_output_converter_base import (
|
||||
OutputConverter,
|
||||
)
|
||||
|
||||
|
||||
class ConverterError(Exception):
|
||||
@@ -14,19 +16,9 @@ class ConverterError(Exception):
|
||||
self.message = message
|
||||
|
||||
|
||||
class Converter(BaseModel):
|
||||
class Converter(OutputConverter):
|
||||
"""Class that converts text into either pydantic or json."""
|
||||
|
||||
_is_gpt: bool = PrivateAttr(default=True)
|
||||
text: str = Field(description="Text to be converted.")
|
||||
llm: Any = Field(description="The language model to be used to convert the text.")
|
||||
model: Any = Field(description="The model to be used to convert the text.")
|
||||
instructions: str = Field(description="Conversion instructions to the LLM.")
|
||||
max_attemps: Optional[int] = Field(
|
||||
description="Max number of attemps to try to get the output formated.",
|
||||
default=3,
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
def check_llm_provider(self):
|
||||
if not self._is_gpt(self.llm):
|
||||
|
||||
Reference in New Issue
Block a user