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Hi @pritkudale, Thanks for reporting this. Gemini models implement controlled generation to ensure schema compliance, which is why they work more reliably. This should improve as more models add structured...

Hi @hnsqls, PR #239 should potentially address the Ollama reliability issues you reported. The PR includes specific optimizations for Ollama that improve extraction consistency and success rates. If reliability issues...

Hey thanks! I saw this library on X/Twitter. Does that work for you? https://www.npmjs.com/package/langextract

Hey @JustStas, thanks for the PR offer! Given that we just landed a provider registry + plugin system (#97), I think the ideal path for Azure OpenAI and Bedrock would...

**Update:** The plugin system is now in main but not yet on PyPI (v1.0.5 was released ~10 hours before the PR merged). To use it now, install from source: ```bash...

Accidentally removed a reference to a related plugin request. Reposting: https://github.com/google/langextract/issues/109

Hi @JustStas, any interest in converting your PR into a plugin? I wanted to start a page on model plugins by the community so if you do, please let me...

Hi @JustStas, that sounds great! Plugins are very flexible so you're welcome to implement what you think fits best. When a plugin becomes popular, we can add it to a...

Hi all, There's now a one-step script that generates a complete plugin template with all the boilerplate: ```bash python scripts/create_provider_plugin.py MyProvider --with-schema ``` This should make it much easier to...

Thanks @andyxhadji! Great to see langextract-bedrock as a working example of the plugin system. This will help others creating their own providers. Looking forward to feedback from anyone who tries...