Add support for OpenRouter as a language model provider (#29496)
This pull request adds full integration with OpenRouter, allowing users to access a wide variety of language models through a single API key. **Implementation Details:** * **Provider Registration:** Registers OpenRouter as a new language model provider within the application's model registry. This includes UI for API key authentication, token counting, streaming completions, and tool-call handling. * **Dedicated Crate:** Adds a new `open_router` crate to manage interactions with the OpenRouter HTTP API, including model discovery and streaming helpers. * **UI & Configuration:** Extends workspace manifests, the settings schema, icons, and default configurations to surface the OpenRouter provider and its settings within the UI. * **Readability:** Reformats JSON arrays within the settings files for improved readability. **Design Decisions & Discussion Points:** * **Code Reuse:** I leveraged much of the existing logic from the `openai` provider integration due to the significant similarities between the OpenAI and OpenRouter API specifications. * **Default Model:** I set the default model to `openrouter/auto`. This model automatically routes user prompts to the most suitable underlying model on OpenRouter, providing a convenient starting point. * **Model Population Strategy:** * <strike>I've implemented dynamic population of available models by querying the OpenRouter API upon initialization. * Currently, this involves three separate API calls: one for all models, one for tool-use models, and one for models good at programming. * The data from the tool-use API call sets a `tool_use` flag for relevant models. * The data from the programming models API call is used to sort the list, prioritizing coding-focused models in the dropdown.</strike> * <strike>**Feedback Welcome:** I acknowledge this multi-call approach is API-intensive. I am open to feedback and alternative implementation suggestions if the team believes this can be optimized.</strike> * **Update: Now this has been simplified to one api call.** * **UI/UX Considerations:** * <strike>Authentication Method: Currently, I've implemented the standard API key input in settings, similar to other providers like OpenAI/Anthropic. However, OpenRouter also supports OAuth 2.0 with PKCE. This could offer a potentially smoother, more integrated setup experience for users (e.g., clicking a button to authorize instead of copy-pasting a key). Should we prioritize implementing OAuth PKCE now, or perhaps add it as an alternative option later?</strike>(PKCE is not straight forward and complicated so skipping this for now. So that we can add the support and work on this later.) * <strike>To visually distinguish models better suited for programming, I've considered adding a marker (e.g., `</>` or `🧠`) next to their names. Thoughts on this proposal?</strike>. (This will require a changes and discussion across model provider. This doesn't fall under the scope of current PR). * OpenRouter offers 300+ models. The current implementation loads all of them. **Feedback Needed:** Should we refine this list or implement more sophisticated filtering/categorization for better usability? **Motivation:** This integration directly addresses one of the most highly upvoted feature requests/discussions within the Zed community. Adding OpenRouter support significantly expands the range of AI models accessible to users. I welcome feedback from the Zed team on this implementation and the design choices made. I am eager to refine this feature and make it available to users. ISSUES: https://github.com/zed-industries/zed/discussions/16576 Release Notes: - Added support for OpenRouter as a language model provider. --------- Signed-off-by: Umesh Yadav <umesh4257@gmail.com> Co-authored-by: Marshall Bowers <git@maxdeviant.com>
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"version": "1",
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"api_url": "https://api.openai.com/v1"
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"open_router": {
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"api_url": "https://openrouter.ai/api/v1"
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},
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"lmstudio": {
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"api_url": "http://localhost:1234/api/v0"
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