Can I Use OpenClaw With Claude? Anthropic Model Integration Guide

Yes — OpenClaw Supports Claude

OpenClaw supports Anthropic's Claude model family as a fully-featured LLM provider. You can run any OpenClaw agent on Claude Haiku, Claude Sonnet, or Claude Opus through Anthropic's API — with the same capabilities, tool use, and memory features available as with OpenAI models. Configuration is straightforward and switching between providers does not require changes to your agent logic.

Why Use Claude With OpenClaw?

Most OpenClaw deployments start with OpenAI because it is the default in most tutorials. But Claude has specific strengths that make it the better choice for certain OpenClaw use cases:

• Instruction following — Claude models, particularly Sonnet, are widely regarded as among the best at following detailed, nuanced system prompts. For OpenClaw agents with complex business rules embedded in their system prompt, this matters.
• Tone and communication quality — Claude's outputs tend to be more natural and appropriately calibrated in customer-facing contexts. Agents handling customer support or sales communication often produce better results with Claude.
• Long context performance — Claude models handle long context windows well, which is relevant for OpenClaw agents that need to reason over large conversation histories or lengthy documents.
• Safety characteristics — Claude's constitutional training makes it less likely to produce harmful or inappropriate outputs, which matters for agents operating autonomously without human review of every response.

Setting Up Anthropic in OpenClaw

First, obtain an API key from Anthropic's console at console.anthropic.com. Then configure it in your OpenClaw config.yaml:

llm:
  default_provider: anthropic
  providers:
    anthropic:
      api_key: "sk-ant-your-key-here"
      model: "claude-3-5-sonnet-20241022"

To use environment variables instead of embedding the key directly (recommended for security):

llm:
  default_provider: anthropic
  providers:
    anthropic:
      api_key: "${ANTHROPIC_API_KEY}"
      model: "claude-3-5-sonnet-20241022"

Set the environment variable before starting OpenClaw: export ANTHROPIC_API_KEY="sk-ant-..."

Restart OpenClaw and verify by sending a message. The first response will confirm Claude is handling requests correctly.

Claude Model Comparison for OpenClaw

Choosing the right Claude model for your OpenClaw deployment depends on the balance between capability, latency, and cost you need:

• Claude 3.5 Haiku — the fastest and cheapest Claude model. Excellent for high-volume deployments, routing tasks, and use cases where response speed is more important than maximum reasoning depth. Runs at roughly $0.80/$4.00 per million input/output tokens.
• Claude 3.5 Sonnet — the sweet spot for most production OpenClaw deployments. Strong instruction following, good reasoning, reasonable cost (~$3/$15 per million tokens). Recommended as the default unless you have a specific reason to go larger or smaller.
• Claude 3 Opus — the highest-capability Claude model, best for complex analytical tasks, nuanced decision-making, and cases where reasoning quality is paramount. Significantly more expensive; best reserved for agents handling genuinely complex cognitive work.

Claude vs OpenAI for OpenClaw

Neither is universally better — they have different strengths:

• For customer-facing communication agents: Claude Sonnet tends to produce more natural, appropriately-toned responses. Slight edge to Claude.
• For technical/coding agents: GPT-4o has a slight edge in code generation tasks. Slight edge to OpenAI.
• For cost efficiency at scale: Claude Haiku and GPT-4o Mini are similarly positioned — test both on your specific workload.
• For instruction adherence with complex prompts: Claude Sonnet is widely considered superior. Edge to Claude.
• For availability and reliability: Both providers offer comparable uptime. No significant difference.

Many production OpenClaw deployments use both — OpenAI for one class of task, Anthropic for another — through OpenClaw's multi-provider routing capability.

Using Multiple Providers

OpenClaw supports simultaneous configuration of multiple LLM providers, with routing logic that sends different task types to different models:

llm:
  default_provider: anthropic
  providers:
    anthropic:
      api_key: "${ANTHROPIC_API_KEY}"
      model: "claude-3-5-sonnet-20241022"
    openai:
      api_key: "${OPENAI_API_KEY}"
      model: "gpt-4o-mini"
  routing:
    customer_support: anthropic
    code_tasks: openai
    default: anthropic

This gives you the best of both providers for different agent functions within the same deployment.

Conclusion

Claude is a first-class provider in OpenClaw and a strong choice for business-facing agent deployments where communication quality and instruction adherence matter. Configuration takes under five minutes. For help designing a multi-provider OpenClaw deployment or choosing the right model configuration for your specific use case, OpenClaw Consult can assist.