Solutions for realizing DeepClaude's zero-latency response
DeepClaude itself has been designed to be instantly responsive through its high-performance Rust API, but real-world applications may still encounter latency issues. The following are specific solutions:
- Optimize local environment configuration
Ensure that the runtime environment meets the minimum requirements: Rust 1.75 or higher, Ubuntu 20.04+ or equivalent Linux distribution is recommended for best performance. This can be accomplished by running
rustc --versionCheck the version. - Build and run the project correctly
In the project directory use the
cargo build --releasecommand for an optimized release mode build, which will enable all performance optimization options. The runtime should use thecargo run --releasecommand instead of debug mode. - Server Configuration Optimization
Modify the server configuration in the config.toml file:
[server] host = "127.0.0.1" port = 3000 workers = 4 # 根据CPU核心数调整For 8-core and above CPUs, it is recommended to set workers to 75% of the number of CPU cores.
- API Calling Best Practices
Use the streaming API to get instant feedback:
const response = await fetch("http://127.0.0.1:3000/api/stream", { method: "POST", body: JSON.stringify({ model: "claude", prompt: "Your question here" }) });This enables streaming responses and avoids the perceived delay caused by waiting for a full response.
A judicious combination of these measures ensures that DeepClaude takes full advantage of its zero-latency response design.
This answer comes from the articleDeepClaude: A Chat Interface Fusing DeepSeek R1 Chained Reasoning and Claude CreativityThe
