Other LLM Providers (Anthropic, etc.)

from langchain.chat_models import init_chat_model
from literalai import LiteralClient

literalai_client = LiteralClient()
gpt_4o = init_chat_model("gpt-4o", model_provider="openai", temperature=0)
claude_sonnet = init_chat_model("claude-3-5-sonnet-20241022", model_provider="anthropic", temperature=0)

# Literal AI callback
cb = literalai_client.langchain_callback()

# Invoke the model with input and callback configuration
gpt_4o.invoke("what's your name", config=RunnableConfig(callbacks=[cb]))
claude_sonnet.invoke("what's your name", config=RunnableConfig(callbacks=[cb]))

literalai_client.flush()

import { LiteralClient } from "@literalai/client";

import { HumanMessage } from "@langchain/core/messages";
import { ChatAnthropic } from "@langchain/anthropic";

const literalAiClient = new LiteralClient({apiKey: process.env["LITERAL_API_KEY"]});
const cb = literalAiClient.instrumentation.langchain.literalCallback();

// Example of using the callback
const message = new HumanMessage({ content: "What is the capital of France?" });

const model = new ChatAnthropic({
  anthropicApiKey: process.env.ANTHROPIC_API_KEY,
});
model.invoke([message], {
  callbacks: [cb],
}).then(response => {
  console.log(response)
}).catch(error => {
  // Handle any errors here
});