Implement chat templates for LlamaLanguageModel#57
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Pull request overview
This PR implements chat template support for LlamaLanguageModel, enabling proper multi-turn conversation formatting using the model's embedded chat templates (e.g., Llama 3, Mistral, ChatML). Instead of using raw prompt text, the model now applies conversation-aware formatting by extracting the full transcript history and applying the GGUF-embedded chat template via llama.cpp's llama_chat_apply_template API.
Key Changes:
- Adds
formatPrompt(for:)method to convert transcript entries into formatted prompts using model-embedded chat templates - Adds
extractText(from:)helper to extract text content from transcript segments - Updates both
respondandstreamResponsemethods to use formatted prompts instead of raw prompt descriptions
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