feat: Add multi-provider LLM support #18
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
- Add llm_config.py with support for Anthropic, OpenAI, Gemini, Groq, Mistral, Cohere, and Grok - Update agent_bridge.py to use multi-provider LLM system - Add backward compatibility wrappers for existing Claude functions
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Multi-Provider LLM Support
This PR adds support for 7 LLM providers to the NANDA adapter.
LLM_PROVIDERin.envfileChanges
llm_config.py- Multi-provider LLM dispatcheragent_bridge.py- Integrated multi-provider system.env- Provider configurationrequirements.txt- Minimal dependenciesREADME.md- Setup instructions