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config.yaml
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34 lines (33 loc) · 2.18 KB
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model_list:
# ----------------------------------------------------------------------
# A. Atlas Cloud AI - Using the dynamic '*' for multiple models
# ----------------------------------------------------------------------
# - model_name: atlas/* # This alias lets clients call any model: "atlas/model-a", "atlas/model-b"
# litellm_params:
# model: "*" # The underlying provider is LiteLLM's OpenAI-compatible one
# api_base: "https://api.atlascloud.ai/v1"
# api_key: "apikey-135efa1e35474e0eb0a6b82619b05353" # Fetched securely from your .env file
- model_name: atlas/gemini-2.5-pro # This alias lets clients call any model: "atlas/model-a", "atlas/model-b"
litellm_params:
model: "gemini-2.5-pro" # The underlying provider is LiteLLM's OpenAI-compatible one
api_base: "https://api.atlascloud.ai/v1"
api_key: "apikey-135efa1e35474e0eb0a6b82619b05353" # Fetched securely from your .env file
custom_llm_provider: "openai"
- model_name: atlas/gemini-2.5-flash-lite-preview-09-2025 # This alias lets clients call any model: "atlas/model-a", "atlas/model-b"
litellm_params:
model: "gemini-2.5-flash-lite-preview-09-2025" # The underlying provider is LiteLLM's OpenAI-compatible one
api_base: "https://api.atlascloud.ai/v1"
api_key: "apikey-135efa1e35474e0eb0a6b82619b05353" # Fetched securely from your .env file
custom_llm_provider: "openai"
- model_name: atlas/Qwen3-235B-A22B-Instruct-2507 # This alias lets clients call any model: "atlas/model-a", "atlas/model-b"
litellm_params:
model: "Qwen/Qwen3-235B-A22B-Instruct-2507" # The underlying provider is LiteLLM's OpenAI-compatible one
api_base: "https://api.atlascloud.ai/v1"
api_key: "apikey-135efa1e35474e0eb0a6b82619b05353" # Fetched securely from your .env file
custom_llm_provider: "openai"
- model_name: atlas/Qwen3-30B-A3B-Instruct-2507
litellm_params:
model: "Qwen/Qwen3-30B-A3B-Instruct-2507" # The underlying provider is LiteLLM's OpenAI-compatible one
api_base: "https://api.atlascloud.ai/v1"
api_key: "apikey-135efa1e35474e0eb0a6b82619b05353" # Fetched securely from your .env file
custom_llm_provider: "openai"