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Log10

本页面介绍了如何在LangChain中使用Log10。

什么是Log10？​

Log10 是一个 开源 的无代理 LLM 数据管理和应用开发平台，允许您记录、调试和标记您的 Langchain 调用。

快速开始​

  1. 在log10.io创建您的免费账户
  2. 从设置和组织选项卡中分别添加您的LOG10_TOKEN和LOG10_ORG_ID作为环境变量。
  3. 同时添加 LOG10_URL=https://log10.io 和你常用的 LLM API 密钥：例如 OPENAI_API_KEY 或 ANTHROPIC_API_KEY 到你的环境中

如何为Langchain启用Log10数据管理​

与log10的集成是一个简单的单行log10_callback集成，如下所示：

from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage

from log10.langchain import Log10Callback
from log10.llm import Log10Config

log10_callback = Log10Callback(log10_config=Log10Config())

messages = [
    HumanMessage(content="You are a ping pong machine"),
    HumanMessage(content="Ping?"),
]

llm = ChatOpenAI(model="gpt-3.5-turbo", callbacks=[log10_callback])
API Reference:ChatOpenAI | HumanMessage

Log10 + Langchain + 日志文档

更多详情 + 截图 包括自托管日志的说明

如何使用标签与Log10​

from langchain_openai import OpenAI
from langchain_community.chat_models import ChatAnthropic
from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage

from log10.langchain import Log10Callback
from log10.llm import Log10Config

log10_callback = Log10Callback(log10_config=Log10Config())

messages = [
    HumanMessage(content="You are a ping pong machine"),
    HumanMessage(content="Ping?"),
]

llm = ChatOpenAI(model="gpt-3.5-turbo", callbacks=[log10_callback], temperature=0.5, tags=["test"])
completion = llm.predict_messages(messages, tags=["foobar"])
print(completion)

llm = ChatAnthropic(model="claude-2", callbacks=[log10_callback], temperature=0.7, tags=["baz"])
llm.predict_messages(messages)
print(completion)

llm = OpenAI(model_name="gpt-3.5-turbo-instruct", callbacks=[log10_callback], temperature=0.5)
completion = llm.predict("You are a ping pong machine.\nPing?\n")
print(completion)

你也可以混合使用直接的OpenAI调用和Langchain LLM调用：

import os
from log10.load import log10, log10_session
import openai
from langchain_openai import OpenAI

log10(openai)

with log10_session(tags=["foo", "bar"]):
    # Log a direct OpenAI call
    response = openai.Completion.create(
        model="text-ada-001",
        prompt="Where is the Eiffel Tower?",
        temperature=0,
        max_tokens=1024,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0,
    )
    print(response)

    # Log a call via Langchain
    llm = OpenAI(model_name="text-ada-001", temperature=0.5)
    response = llm.predict("You are a ping pong machine.\nPing?\n")
    print(response)
API Reference:OpenAI

如何调试Langchain调用​

调试示例

更多Langchain示例

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