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54 lines
4.2 KiB
Markdown
54 lines
4.2 KiB
Markdown
# Community Provider Plugins
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Community-developed provider plugins that extend LangExtract with additional model backends.
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**Supporting the Community:** Star plugin repositories you find useful and add 👍 reactions to their tracking issues to support maintainers' efforts.
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**⚠️ Important:** These are community-maintained packages. Please review the [safety guidelines](#safety-disclaimer) before use.
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## Plugin Registry
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| Plugin Name | PyPI Package | Maintainer | GitHub Repo | Description | Issue Link |
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|-------------|--------------|------------|-------------|-------------|------------|
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| AWS Bedrock | `langextract-bedrock` | [@andyxhadji](https://github.com/andyxhadji) | [andyxhadji/langextract-bedrock](https://github.com/andyxhadji/langextract-bedrock) | AWS Bedrock provider for LangExtract, supports all models & inference profiles | [#148](https://github.com/google/langextract/issues/148) |
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| LiteLLM | `langextract-litellm` | [@JustStas](https://github.com/JustStas) | [JustStas/langextract-litellm](https://github.com/JustStas/langextract-litellm) | LiteLLM provider for LangExtract, supports all models covered in LiteLLM, including OpenAI, Azure, Anthropic, etc., See [LiteLLM's supported models](https://docs.litellm.ai/docs/providers) | [#187](https://github.com/google/langextract/issues/187) |
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| Llama.cpp | `langextract-llamacpp` | [@fgarnadi](https://github.com/fgarnadi) | [fgarnadi/langextract-llamacpp](https://github.com/fgarnadi/langextract-llamacpp) | Llama.cpp provider for LangExtract, supports GGUF models from HuggingFace and local files | [#199](https://github.com/google/langextract/issues/199) |
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| Outlines | `langextract-outlines` | [@RobinPicard](https://github.com/RobinPicard) | [dottxt-ai/langextract-outlines](https://github.com/dottxt-ai/langextract-outlines) | Outlines provider for LangExtract, supports structured generation for various local and API-based models | [#101](https://github.com/google/langextract/issues/101) |
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| vLLM | `langextract-vllm` | [@wuli666](https://github.com/wuli666) | [wuli666/langextract-vllm](https://github.com/wuli666/langextract-vllm) | vLLM provider for LangExtract, supports local and distributed model serving | [#236](https://github.com/google/langextract/issues/236) |
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<!-- ADD NEW PLUGINS ABOVE THIS LINE -->
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## How to Add Your Plugin (PR Checklist)
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Copy this row template, replace placeholders, and insert **above** the marker line:
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```markdown
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| Your Plugin | `langextract-provider-yourname` | [@yourhandle](https://github.com/yourhandle) | [yourorg/yourrepo](https://github.com/yourorg/yourrepo) | Brief description (min 10 chars) | [#456](https://github.com/google/langextract/issues/456) |
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```
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**Before submitting your PR:**
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- [ ] PyPI package name starts with `langextract-` (recommended: `langextract-provider-<name>`)
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- [ ] PyPI package is published (or will be soon) and listed in backticks
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- [ ] Maintainer(s) listed as GitHub profile links (comma-separated if multiple)
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- [ ] Repository link points to public GitHub repo
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- [ ] Description clearly explains what your provider does
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- [ ] Issue Link points to a tracking issue in the LangExtract repository for integration and usage feedback (plugin-specific features and discussions can optionally happen in the plugin's repository)
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- [ ] Entries are sorted alphabetically by Plugin Name
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## Documentation
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For detailed plugin development instructions, see the [Custom Provider Plugin Example](examples/custom_provider_plugin/README.md).
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## Safety Disclaimer
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Community plugins are independently developed and maintained. While we encourage community contributions, the LangExtract team cannot guarantee the safety, security, or functionality of third-party packages.
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**Before installing any plugin, we recommend:**
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- **Review the code** - Examine the source code and dependencies on GitHub
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- **Check community feedback** - Read issues and discussions for user experiences
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- **Verify the maintainer** - Look for active maintenance and responsive support
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- **Test safely** - Try plugins in isolated environments before production use
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- **Assess security needs** - Consider your specific security requirements
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Community plugins are used at your own discretion. When in doubt, reach out to the community through the plugin's issue tracker or the main LangExtract discussions.
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