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Ishaan Jaff
bfceb7fc3f
* feat: add Perplexity embedding support (pplx-embed-v1) Add support for Perplexity AI's embedding models via the LLM HTTP handler: Models: - pplx-embed-v1-0.6b (1024 dims, 32K context, $0.004/1M tokens) - pplx-embed-v1-4b (2560 dims, 32K context, $0.03/1M tokens) Implementation: - PerplexityEmbeddingConfig in litellm/llms/perplexity/embedding/ - Registered in ProviderConfigManager, __init__.py lazy imports, main.py dispatch - Model pricing added to model_prices_and_context_window.json - Supports dimensions and encoding_format parameters - Uses base_llm_http_handler.embedding() pattern Tests: - 19 unit tests covering transformation, params, URLs, provider config, model info Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * docs: add Perplexity AI embeddings documentation - Create providers/perplexity_embedding.md with SDK and proxy usage examples - Convert Perplexity from flat doc to category in sidebars.js - Category includes existing chat/responses doc + new embeddings doc - Covers pplx-embed-v1-0.6b and pplx-embed-v1-4b models - Documents supported parameters (dimensions, encoding_format) - Includes proxy config and curl examples Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: decode Perplexity base64_int8 embeddings to OpenAI-format float arrays Perplexity returns embeddings as base64-encoded signed int8 values by default, not float arrays like OpenAI. This commit adds decoding in transform_embedding_response so the proxy returns standard OpenAI-compatible float arrays (normalized to [-1, 1]). - Added _decode_base64_embedding() static method - Handles both base64 strings (decoded) and float lists (passthrough) - Added 3 new tests for base64 decoding + passthrough Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>