| .. |
|
anthropic
|
feat(providers): Groq now uses LiteLLM openai-compat (#1303)
|
2025-02-27 13:16:50 -08:00 |
|
bedrock
|
feat(api): Add options for supporting various embedding models (#1192)
|
2025-02-20 22:27:12 -08:00 |
|
cerebras
|
fix: register provider model name and HF alias in run.yaml (#1304)
|
2025-02-27 16:39:23 -08:00 |
|
databricks
|
fix: resolve type hint issues and import dependencies (#1176)
|
2025-02-25 11:06:47 -08:00 |
|
fireworks
|
feat: add a configurable category-based logger (#1352)
|
2025-03-02 18:51:14 -08:00 |
|
gemini
|
feat(providers): Groq now uses LiteLLM openai-compat (#1303)
|
2025-02-27 13:16:50 -08:00 |
|
groq
|
fix: register provider model name and HF alias in run.yaml (#1304)
|
2025-02-27 16:39:23 -08:00 |
|
nvidia
|
added nvidia as safety provider
|
2025-03-04 01:17:42 -08:00 |
|
ollama
|
feat: add a configurable category-based logger (#1352)
|
2025-03-02 18:51:14 -08:00 |
|
openai
|
feat(providers): Groq now uses LiteLLM openai-compat (#1303)
|
2025-02-27 13:16:50 -08:00 |
|
passthrough
|
feat(api): Add options for supporting various embedding models (#1192)
|
2025-02-20 22:27:12 -08:00 |
|
runpod
|
feat(api): Add options for supporting various embedding models (#1192)
|
2025-02-20 22:27:12 -08:00 |
|
sambanova
|
feat(api): Add options for supporting various embedding models (#1192)
|
2025-02-20 22:27:12 -08:00 |
|
sample
|
build: format codebase imports using ruff linter (#1028)
|
2025-02-13 10:06:21 -08:00 |
|
tgi
|
feat(api): Add options for supporting various embedding models (#1192)
|
2025-02-20 22:27:12 -08:00 |
|
together
|
feat: add a configurable category-based logger (#1352)
|
2025-03-02 18:51:14 -08:00 |
|
vllm
|
chore: remove dependency on llama_models completely (#1344)
|
2025-03-01 12:48:08 -08:00 |
|
__init__.py
|
impls -> inline, adapters -> remote (#381)
|
2024-11-06 14:54:05 -08:00 |
