Yijia-Xiao 295e84cd54 feat(llm): add NVIDIA NIM, Kimi, Groq, and Mistral providers ...

Each is a one-row entry in the OpenAI-compatible provider registry (base_url,
key env, CLI option); the model is user-specified since they serve many models.

2026-06-14 04:13:39 +00:00

..

__init__.py

feat: add multi-provider LLM support with factory pattern

2026-02-03 22:27:20 +00:00

anthropic_client.py

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00

api_key_env.py

feat(llm): add NVIDIA NIM, Kimi, Groq, and Mistral providers

2026-06-14 04:13:39 +00:00

azure_client.py

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00

base_client.py

Merge pull request #464 from CadeYu/sync-validator-models

2026-03-29 11:07:51 -07:00

capabilities.py

fix(llm): gate MiniMax reasoning_split by model capability (#826)

2026-05-17 07:49:42 +00:00

factory.py

feat(llm): unify OpenAI-compatible providers behind a registry + generic endpoint

2026-06-14 03:22:24 +00:00

google_client.py

feat(config): expose sampling temperature and document reproducibility

2026-05-31 03:51:50 +00:00

model_catalog.py

feat(llm): add NVIDIA NIM, Kimi, Groq, and Mistral providers

2026-06-14 04:13:39 +00:00

openai_client.py

feat(llm): add NVIDIA NIM, Kimi, Groq, and Mistral providers

2026-06-14 04:13:39 +00:00

validators.py

feat(llm): add NVIDIA NIM, Kimi, Groq, and Mistral providers

2026-06-14 04:13:39 +00:00