Documentation Index
Fetch the complete documentation index at: https://docs.pezzo.ai/llms.txt
Use this file to discover all available pages before exploring further.
Pezzo supports integration with LangChain for observability and monitoring. Integration is as easy as configuring the LLM to proxy requests to Pezzo.
If you want to learn more about the Pezzo Proxy, click here. Example: LangChain with OpenAI
Below is an example using ChatOpenAI. The same can be applied to chains and agents.
LangChain + Node.js
LangChain + Python
import { ChatOpenAI } from "langchain/chat_models/openai";
const llm = new ChatOpenAI({
openAIApiKey: process.env.OPENAI_API_KEY,
temperature: 0,
configuration: {
baseURL: "https://proxy.pezzo.ai/openai/v1",
defaultHeaders: {
"X-Pezzo-Api-Key": "<Your API Key>",
"X-Pezzo-Project-Id": "<Your Project ID>",
"X-Pezzo-Environment": "Production",
},
},
});
const llmResult = await llm.predict("Tell me 5 fun facts about yourself!");
from langchain.chat_models import ChatOpenAI
llm = ChatOpenAI(
openai_api_key='<>',
openai_api_base="https://proxy.pezzo.ai/openai/v1",
default_headers={
"X-Pezzo-Api-Key": "<Your API Key>",
"X-Pezzo-Project-Id": "<Your Project ID>",
"X-Pezzo-Environment": "Production",
}
)
llm_result = llm.predict("Tell me 5 fun facts about yourself!")
