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Claude 3.7 Sonnet

Anthropic's Claude 3.7 Sonnet model with 200K context, strong reasoning, and tool use capabilities.

Available Clients

ClaudeAnthropicClient (Direct API)

Environment Setup:

Environment Variables
export ANTHROPIC_API_KEY="your-key"
export ANTHROPIC_BASE_URL="https://api.anthropic.com"  # optional

Configuration:

Agent Configuration
main_agent:
  llm: 
    provider_class: "ClaudeAnthropicClient"
    model_name: "claude-3-7-sonnet-20250219"  # Use actual model name from Anthropic API
    async_client: true
    temperature: 0.3
    top_p: 0.95
    min_p: 0.0
    top_k: -1
    max_tokens: 32000
    anthropic_api_key: "${oc.env:ANTHROPIC_API_KEY,???}"
    anthropic_base_url: "${oc.env:ANTHROPIC_BASE_URL,https://api.anthropic.com}"
    disable_cache_control: false
    keep_tool_result: -1
    oai_tool_thinking: false

Sampling Parameters

  • min_p and top_k are required in the configuration
  • Anthropic API natively supports top_k, but min_p is not used by the API
  • Set min_p: 0.0 (disabled) and top_k: -1 (disabled) or a specific value like top_k: 40

Usage

Example Command
# Run with Claude 3.7 Sonnet (Anthropic SDK) on example dataset
uv run main.py common-benchmark --config_file_name=agent_llm_claude37sonnet_anthropic output_dir="logs/test"

The agent_llm_claude37sonnet_anthropic.yaml configuration file provides a ready-to-use setup with the example dataset benchmark.

Documentation Info

Last Updated: September 2025 · Doc Contributor: Team @ MiroMind AI