Prompt hubs are external platforms for managing, versioning, and sharing prompts. LLMling-Agent integrates with popular prompt management platforms to leverage curated prompt libraries and collaborative prompt development.

Overview¶

LLMling-Agent supports integration with leading prompt hub platforms:

• PromptLayer: Comprehensive prompt management with versioning and analytics
• Langfuse: Open-source LLM engineering platform with prompt management
• Fabric: Community-driven prompt patterns and templates
• Braintrust: Enterprise prompt management with evaluation and testing

These integrations allow you to fetch prompts from these services by identifiers.

Configuration Reference¶

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- type: promptlayer
  api_key: '!ENV ENV_VAR_NAME'  # API key for the PromptLayer API.

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- type: langfuse
  secret_key: '!ENV ENV_VAR_NAME'  # Secret key for the Langfuse API.
  public_key: '!ENV ENV_VAR_NAME'  # Public key for the Langfuse API.
  host: !!python/object:pydantic.networks.HttpUrl  # Langfuse host address.
    _url: !!python/object/new:pydantic_core._pydantic_core.Url
    - https://cloud.langfuse.com/
  cache_ttl_seconds: 60  # Cache TTL for responses in seconds.
  max_retries: 2  # Maximum number of retries for failed requests.
  fetch_timeout_seconds: 20  # Timeout for fetching responses in seconds.

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- type: fabric

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- type: braintrust
  api_key: null  # API key for the Braintrust API. Defaults to BRAINTRUST_API_KEY env var
  project: null  # Braintrust Project name.

Configuration Notes¶

• API keys should be stored in environment variables
• Prompts from hubs can be referenced in agent system_prompts
• Hub integration provides automatic prompt versioning
• Some platforms offer additional features like prompt analytics and testing
• Prompts can be managed both locally and in external hubs