# config/semantic_kernel_settings.yaml
# Settings for configuring Semantic Kernel, including LLM services.

semantic_kernel_settings:
  # Default service ID to use if an agent doesn't specify one.
  # This ID must match one of the keys under 'completion_services'.
  default_completion_service_id: "openai_gpt35_turbo"

  # Configuration for different LLM completion services that Semantic Kernel can use.
  # The keys (e.g., "openai_gpt35_turbo") are service_ids that can be used
  # when adding completion services to the Kernel.
  completion_services:
    openai_gpt35_turbo:
      service_type: "OpenAI"  # Indicates the type of service (OpenAI, AzureOpenAI, HuggingFace, etc.)
      model_id: "gpt-3.5-turbo"    # The specific model ID for the OpenAI service.
      # The API key will be fetched from an environment variable.
      # The orchestrator, when setting up the kernel, will look for an environment
      # variable typically named OPENAI_API_KEY.
      # Optional: org_id_env_var: "OPENAI_ORG_ID" # For specifying an OpenAI organization ID from env.

  # Placeholder for embedding service configurations (can be expanded later if needed for SK Memory)
  # embedding_services:
  #   openai_text_embedding_ada:
  #     service_type: "OpenAI"
  #     model_id: "text-embedding-ada-002"
      # API key will also be fetched from an environment variable (e.g., OPENAI_API_KEY)