> ## Documentation Index
> Fetch the complete documentation index at: https://docs.literalai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Other LLM Providers (Anthropic, etc.)

Monitor all LLM providers via LangChain simple unified interface `init_chat_model`:

<CodeGroup>
  ```py Python theme={null}
  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()
  ```

  ```typescript TypeScript theme={null}
  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
  });
  ```
</CodeGroup>

You can thus monitor Anthropic, Mistral AI, Cohere and many other LLM providers. Full list [here](https://python.langchain.com/docs/integrations/platforms/).