-
-
Notifications
You must be signed in to change notification settings - Fork 695
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add Support for DeepSeek LLM Integration #1110
Comments
It use with OpenAI starndard. @danielmerja |
Is the finish_reason also supported in the llms/openai? |
oh,I agree |
it would be very cost effective if we add these, and we can use DeepSeek API with their new reasoning model |
Its a good feature.Every model have their own feature.I think it will support in the future. |
Any progress on this? |
@vMaroon no,I don't have any time for this. |
@danielmerja turns out finish_reason was already supported in the existing codebase but not the ReasoningContent. I quickly opened a PR let me know if i missed anything: https://github.com/tmc/langchaingo/pull/1121/files |
Sweet! Thank you! I have pinged @FluffyKebab to take a look at it. |
Description:
DeepSeek is an advanced open-source LLM that rivals some of the most sophisticated models globally, such as OpenAI's offerings. Its latest version, DeepSeek-V3, delivers exceptional inference speed and accuracy across multiple benchmarks, including English, Chinese, code, and math reasoning tasks. Integrating DeepSeek into LangChainGo would expand its capabilities and provide users with an additional high-performance, open-source LLM option.
Current Behavior
LangChainGo currently supports various LLMs but lacks integration with DeepSeek, which is rapidly gaining recognition for its performance and open-source nature.
Expected Behavior
Adding DeepSeek support would allow LangChainGo users to:
Why This Enhancement Is Useful
References
The text was updated successfully, but these errors were encountered: