Fix Replicate API for Gemini models and improve embed()#680
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Fuzzwah wants to merge 1 commit intomindcraft-bots:developfrom
Open
Fix Replicate API for Gemini models and improve embed()#680Fuzzwah wants to merge 1 commit intomindcraft-bots:developfrom
Fuzzwah wants to merge 1 commit intomindcraft-bots:developfrom
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Gemini model fixes: - Detect Gemini models by name and use different input format - Combine system message into prompt (Gemini ignores system_prompt field) - Use run() instead of stream() for Gemini (streaming returns empty) - Handle various output formats (string, array) Embed function improvements: - Always use dedicated embedding model, not chat model - Add input validation for text parameter - Handle multiple output formats (vectors, embedding, embeddings, array) - Detect embedding models vs chat models to avoid using wrong model These changes enable using Gemini models (e.g., google/gemini-2.5-flash) on Replicate alongside existing Llama/Mistral models.
Sweaterdog
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Dec 2, 2025
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Code looks good, I haven't tested
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Summary
Fixes Replicate API to properly support Gemini models and improves the embed() function to be more robust.
Problem
When using Gemini models (e.g.,
google/gemini-2.5-flash) on Replicate:system_promptfield is ignored - Gemini needs the system message in the main promptstream()method returns empty results - Gemini needsrun()insteadChanges
Gemini Model Support
system_promptis ignored)run()instead ofstream()for Gemini modelsImproved embed() Function
mark3labs/embeddings-gte-basefor chat modelsUsage
To use Gemini on Replicate, configure your profile:
{ "model": "replicate/google/gemini-2.5-flash", "embedding": "replicate/mark3labs/embeddings-gte-base" }Testing
Tested with:
google/gemini-2.5-flashfor chatmark3labs/embeddings-gte-basefor embeddingsBoth work correctly with this fix.