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How to optimize DeepClaude's custom configurations for specific needs?

2025-09-10 2.6 K

DeepClaude Custom Configuration Optimization Guide

DeepClaude offers highly configurable features, and the following are optimized configuration options for different demand scenarios:

  • Basic performance tuning

    Optimized configuration for high concurrency scenarios:

    [server]
    workers = 8                 # CPU核心数*1.5
    max_concurrent_requests = 200
    max_connections = 1000
        

  • Model behavior customization

    Adjust the configuration of the model output features:

    [model_defaults]
    claude_temperature = 0.7    # 创造性(0-1)
    r1_top_p = 0.9              # 多样性(0-1)
    max_tokens = 2048           # 最大输出长度
        

  • API Access Control

    Secure access configuration for enterprise environments:

    [security]
    allowed_ips = ["10.0.0.0/8"]
    rate_limit = "100/minute"
    require_auth = true
        

  • Business Logic Extensions

    Extended functionality through plug-in mechanisms:

    • Create plugins directory to add custom modules
    • Implementing preprocessing/postprocessing hook functions
    • Develop domain-specific middleware
  • Debugging and Monitoring

    Configuration to enable detailed logging:

    [logging]
    level = "debug"
    log_file = "/var/log/deepclaude.log"
    retention_days = 7
        

The combination of these configuration options can be flexibly adapted to specific use cases, and it is recommended to find the optimal set of parameters through step-by-step modifications and performance testing.

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