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Publish RAGFlow's HTTP and Python API references (#3116)

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### What problem does this PR solve?



### Type of change


- [x] Documentation Update
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writinwaters
2024-10-30 19:40:39 +08:00
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docs/guides/llm_api_key_setup.md
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@ -29,7 +29,7 @@ For now, RAGFlow supports the following online LLMs. Click the corresponding lin
- [StepFun](https://platform.stepfun.com/)
:::note
If you find your online LLM is not on the list, don't feel disheartened. The list is expanding, and you can [file a feature request](https://github.com/infiniflow/ragflow/issues/new?assignees=&labels=feature+request&projects=&template=feature_request.yml&title=%5BFeature+Request%5D%3A+) with us! Alternatively, if you have customized or locally-deployed models, you can [bind them to RAGFlow using Ollama, Xinferenc, or LocalAI](./deploy_local_llm.mdx).
If you find your online LLM is not on the list, don't feel disheartened. The list is expanding, and you can [file a feature request](https://github.com/infiniflow/ragflow/issues/new?assignees=&labels=feature+request&projects=&template=feature_request.yml&title=%5BFeature+Request%5D%3A+) with us! Alternatively, if you have customized or locally-deployed models, you can [bind them to RAGFlow using Ollama, Xinference, or LocalAI](./deploy_local_llm.mdx).
:::
## Configure model API key