Update config.yaml

config.yaml

@@ -1,44 +1,16 @@
-model_list:
-  - model_name: gpt-3.5-turbo ### RECEIVED MODEL NAME ###
-    litellm_params: # all params accepted by litellm.completion() - https://docs.litellm.ai/docs/completion/input
-      model: azure/gpt-turbo-small-eu ### MODEL NAME sent to `litellm.completion()` ###
-      api_base: https://my-endpoint-europe-berri-992.openai.azure.com/
-      api_key: "os.environ/AZURE_API_KEY_EU" # does os.getenv("AZURE_API_KEY_EU")
-      rpm: 6      # [OPTIONAL] Rate limit for this deployment: in requests per minute (rpm)
-  - model_name: bedrock-claude-v1 
+model_list:    
+  - model_name: gemini-pro
     litellm_params:
-      model: bedrock/anthropic.claude-instant-v1
-  - model_name: gpt-3.5-turbo
-    litellm_params:
-      model: azure/gpt-turbo-small-ca
-      api_base: https://my-endpoint-canada-berri992.openai.azure.com/
-      api_key: "os.environ/AZURE_API_KEY_CA"
-      rpm: 6
-  - model_name: anthropic-claude
-    litellm_params: 
-      model: bedrock/anthropic.claude-instant-v1
-      ### [OPTIONAL] SET AWS REGION ###
-      aws_region_name: us-east-1
-  - model_name: vllm-models
-    litellm_params:
-      model: openai/facebook/opt-125m # the `openai/` prefix tells litellm it's openai compatible
-      api_base: http://0.0.0.0:4000/v1
-      api_key: none
-      rpm: 1440
-    model_info: 
-      version: 2
+      model: gemini/gemini-1.5-pro
+      api_key: os.environ/GEMINI_API_KEY
+  
+  
   
-  # Use this if you want to make requests to `claude-3-haiku-20240307`,`claude-3-opus-20240229`,`claude-2.1` without defining them on the config.yaml
-  # Default models
-  # Works for ALL Providers and needs the default provider credentials in .env
-  - model_name: "*" 
-    litellm_params:
-      model: "*"
 
 litellm_settings: # module level litellm settings - https://github.com/BerriAI/litellm/blob/main/litellm/__init__.py
   drop_params: True
-  success_callback: ["langfuse"] # OPTIONAL - if you want to start sending LLM Logs to Langfuse. Make sure to set `LANGFUSE_PUBLIC_KEY` and `LANGFUSE_SECRET_KEY` in your env
+  
 
 general_settings: 
   master_key: sk-1234 # [OPTIONAL] Only use this if you to require all calls to contain this key (Authorization: Bearer sk-1234)
-  alerting: ["slack"] # [OPTIONAL] If you want Slack Alerts for Hanging LLM requests, Slow llm responses, Budget Alerts. Make sure to set `SLACK_WEBHOOK_URL` in your env
+