上玄
5d04b5b08b
trimReplayDanglingAssistantToolCalls only collected tool results that immediately followed the assistant tool-call message. Models such as gpt-5.3-codex-spark may emit the function_call item before the explanation text within one response, so history replay order becomes assistant[tool_call] -> assistant[text] -> tool[result]. The call was misjudged as dangling and stripped while the tool result survived, producing a function_call_output without a matching function_call that the Responses API rejects with 400. - widen the response collection window to skip interleaved plain assistant text messages, and drop orphan tool results in the same pass - synthesize a placeholder function_call (or drop the output when the tool name is unknown) in normalizeOpenAIResponsesInput so conversations already persisted with corrupted history can resume
cursor-byok
cursor-byok is a local implementation of Cursor's backend.
User Guide · Download · Report an Issue · 中文版本说明
About
cursor-byok is an open-source local model gateway for Cursor. It runs a service on your machine that connects Cursor to the model APIs you configure, routes model requests through your own providers, and preserves Cursor Agent capabilities such as tool calling, Skills, and MCP.
You can connect OpenAI- and Anthropic-compatible services, customize endpoints, model IDs, API keys, and request parameters, and use model channels beyond the options built into the platform.
Important
cursor-byok is free and open source, but the model APIs you connect may charge for usage. This is an independent project and is not affiliated with or endorsed by Cursor or its developers.
Features
- Bring your own model channels: Configure your own API endpoint, credentials, and model IDs.
- Multiple API protocols: Use OpenAI- and Anthropic-compatible APIs or a custom endpoint.
- Model management: Add, duplicate, edit, reorder, and batch-test multiple model configurations.
- Connection benchmarks: Measure time to first token, generation speed, and inspect raw provider responses.
- Agent workflows: Keep tool calling, Skills, MCP, and multi-turn conversations available.
- Session metrics: Track token usage, cache hit rate, conversation turns, and estimated value.
- Cross-platform: Run on macOS, Windows, and Linux.
Quick Start
- Download the latest build for your platform from GitHub Releases.
- Launch cursor-byok, open Model Settings, and enter the endpoint, API key, and model ID.
- Test the model configuration. Once it passes, return to the dashboard and start the service.
- Open Cursor, select the configured model, and start using Agent.
For complete installation steps, system configuration, and troubleshooting, see the User Guide.
Model Management
Model configurations support both OpenAI and Anthropic API protocols. Each model channel can independently define its context window, maximum output tokens, reasoning effort, custom headers, and additional request parameters.
How It Works
Cursor client
│
│ Agent requests and tool results
▼
cursor-byok local service
│
│ OpenAI- / Anthropic-compatible requests
▼
Your model API
cursor-byok handles protocol adaptation, model request forwarding, tool-call coordination, and conversation state on your machine. API keys and application settings are stored locally; requests are still sent to the model provider you configure.
Why This Project
Many Agent products bundle their tool capabilities with a fixed set of models, subscriptions, and billing options, leaving users limited to the channels offered by the platform.
cursor-byok is built to return model choice to the user. Developers can make full use of the APIs and credits they already have, choose the models and providers that fit their needs, and self-host related services when required.
Roadmap
The project will continue to improve model compatibility, Agent tooling, local runtime stability, and the self-hosting experience while exploring support for more IDE, chat, and Agent workflows.
See the release roadmap for plans and progress.
Community and Support
- User Guide
- GitHub Issues
- Telegram community
- QQ groups:
1095916242,1094411438,1095918002,1094419321
Development and Contributing
Issues and pull requests are welcome. See the Contributing Guide for prerequisites, build commands, project structure, and contribution guidelines.
Contributors
License
This project is open source under the MIT License.