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Add OpenRouterEmbeddings to langchain-openrouter
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上游 issue 正文
### Submission checklist
- [x] This is a feature request, not a bug report or usage question.
- [x] I added a clear and descriptive title that summarizes the feature request.
- [x] I used the GitHub search to find a similar feature request and didn't find it.
- [x] I checked the LangChain documentation and API reference to see if this feature already exists.
- [x] This is not related to the langchain-community package.
### Package (Required)
- [ ] langchain
- [ ] langchain-openai
- [ ] langchain-anthropic
- [ ] langchain-classic
- [ ] langchain-core
- [ ] langchain-model-profiles
- [ ] langchain-tests
- [ ] langchain-text-splitters
- [ ] langchain-chroma
- [ ] langchain-deepseek
- [ ] langchain-exa
- [ ] langchain-fireworks
- [ ] langchain-groq
- [ ] langchain-huggingface
- [ ] langchain-mistralai
- [ ] langchain-nomic
- [ ] langchain-ollama
- [x] langchain-openrouter
- [ ] langchain-perplexity
- [ ] langchain-qdrant
- [ ] langchain-xai
- [ ] Other / not sure / general
### Feature Description
Currently, developers using OpenRouter for embeddings are forced to route calls through the generic `OpenAIEmbeddings` class by overriding the `base_url`. While this works for OpenAI models, it frequently causes schema mismatch errors (e.g., `"No embedding data received"`) when interacting with non-OpenAI models on OpenRouter, such as `BAAI/bge-m3` or Gemini multimodal embeddings.
With the recent addition of the dedicated `langchain-openrouter` partner package, there is a clear gap for a native `OpenRouterEmbeddings` class that mirrors the standard `Embeddings` interface and leverages the official OpenRouter Python SDK.
### Proposal
Add `OpenRouterEmbeddings` to `libs/partners/openrouter`. The implementation should:
- Support standard sync and async embedding methods (`embed_documents`, `embed_query`, `aembed_documents`, `aembed_query`).
- Use the standard `httpx` client / OpenRouter API payload structure to natively handle non-OpenAI model outputs.
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