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MLflow AI Gateway（MLflow AI 网关）

MLflow AI Gateway 服务是一个强大的工具，旨在简化组织内各种大型语言模型（LLM）提供商（如OpenAI和Anthropic）的使用和管理。它提供了一个高级接口，通过提供一个统一的端点来处理特定的LLM相关请求，从而简化了与这些服务的交互。有关更多详细信息，请参阅MLflow AI Gateway文档。

安装和设置​

使用MLflow AI Gateway依赖项安装mlflow：

pip install 'mlflow[gateway]'

将OpenAI API密钥设置为环境变量：

export OPENAI_API_KEY=...

创建一个配置文件：

routes:
  - name: completions
    route_type: llm/v1/completions
    model:
      provider: openai
      name: text-davinci-003
      config:
        openai_api_key: $OPENAI_API_KEY

  - name: embeddings
    route_type: llm/v1/embeddings
    model:
      provider: openai
      name: text-embedding-ada-002
      config:
        openai_api_key: $OPENAI_API_KEY

启动网关服务器：

mlflow gateway start --config-path /path/to/config.yaml

完成示例​

import mlflow
from langchain import LLMChain, PromptTemplate
from langchain.llms import MlflowAIGateway

gateway = MlflowAIGateway(
    gateway_uri="http://127.0.0.1:5000",
    route="completions",
    params={
        "temperature": 0.0,
        "top_p": 0.1,
    },
)

llm_chain = LLMChain(
    llm=gateway,
    prompt=PromptTemplate(
        input_variables=["adjective"],
        template="Tell me a {adjective} joke",
    ),
)
result = llm_chain.run(adjective="funny")
print(result)

with mlflow.start_run():
    model_info = mlflow.langchain.log_model(chain, "model")

model = mlflow.pyfunc.load_model(model_info.model_uri)
print(model.predict([{"adjective": "funny"}]))

嵌入示例​

from langchain.embeddings import MlflowAIGatewayEmbeddings

embeddings = MlflowAIGatewayEmbeddings(
    gateway_uri="http://127.0.0.1:5000",
    route="embeddings",
)

print(embeddings.embed_query("hello"))
print(embeddings.embed_documents(["hello"]))

聊天示例​

from langchain.chat_models import ChatMLflowAIGateway
from langchain.schema import HumanMessage, SystemMessage

chat = ChatMLflowAIGateway(
    gateway_uri="http://127.0.0.1:5000",
    route="chat",
    params={
        "temperature": 0.1
    }
)

messages = [
    SystemMessage(
        content="You are a helpful assistant that translates English to French."
    ),
    HumanMessage(
        content="Translate this sentence from English to French: I love programming."
    ),
]
print(chat(messages))

Databricks MLflow AI Gateway（Databricks MLflow AI 网关）​

Databricks MLflow AI Gateway正在进行私有预览。 请联系Databricks代表以参加预览。

from langchain import LLMChain, PromptTemplate
from langchain.llms import MlflowAIGateway

gateway = MlflowAIGateway(
    gateway_uri="databricks",
    route="completions",
)

llm_chain = LLMChain(
    llm=gateway,
    prompt=PromptTemplate(
        input_variables=["adjective"],
        template="Tell me a {adjective} joke",
    ),
)
result = llm_chain.run(adjective="funny")
print(result)