yangdx 4ab4a7ac94 Allow embedding models to use provider defaults when unspecified ... - Set EMBEDDING_MODEL default to None - Pass model param only when provided - Let providers use their own defaults - Fix lollms embed function params - Add ollama embed_model default param		2025-11-28 16:57:33 +08:00
..
deprecated	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
__init__.py	Separated llms from the main llm.py file and fixed some deprication bugs	2025-01-25 00:11:00 +01:00
anthropic.py	Add Deepseek Style Chain of Thought (CoT) Support for OpenAI Compatible LLM providers	2025-09-09 22:34:36 +08:00
azure_openai.py	Consolidate Azure OpenAI implementation into main OpenAI module	2025-11-21 17:12:33 +08:00
bedrock.py	Improve Bedrock error handling with retry logic and custom exceptions	2025-11-14 18:51:41 +08:00
binding_options.py	Add Gemini embedding support	2025-11-08 03:34:30 +08:00
gemini.py	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
hf.py	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
jina.py	Add configurable model parameter to jina_embed function	2025-11-28 15:38:29 +08:00
llama_index_impl.py	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
lmdeploy.py	Add Deepseek Style Chain of Thought (CoT) Support for OpenAI Compatible LLM providers	2025-09-09 22:34:36 +08:00
lollms.py	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
nvidia_openai.py	Add max_token_size parameter to embedding function decorators	2025-11-14 18:41:43 +08:00
ollama.py	Allow embedding models to use provider defaults when unspecified	2025-11-28 16:57:33 +08:00
openai.py	Add max_token_size parameter to azure_openai_embed wrapper	2025-11-28 13:41:01 +08:00
zhipu.py	Add Deepseek Style Chain of Thought (CoT) Support for OpenAI Compatible LLM providers	2025-09-09 22:34:36 +08:00