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:
Lorenze Jay
2024-06-27 10:56:08 -07:00
committed by GitHub
parent da9cc5f097
commit 10997dd175
22 changed files with 637 additions and 407 deletions

View File

@@ -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):