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Documentation Index

Fetch the complete documentation index at: https://docs.hellofriday.ai/llms.txt

Use this file to discover all available pages before exploring further.

The Agent Tester lets you run any built-in agent in isolation — test different inputs, models, and configurations before wiring agents into full workflows. Open it from the Tools section in the sidebar.

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Built-in agents

Browse all available agents in a searchable catalog. Use Cmd+K (Ctrl+K on Windows/Linux) to focus search, arrow keys to navigate, and Enter to expand an agent’s spec sheet. Press Cmd+Enter (Ctrl+Enter) to open the workbench. When you select an agent, the workbench opens with:
  • Prompt input — type your prompt and press Cmd+Enter (Ctrl+Enter) to execute. Use up/down arrows to cycle through prompt history.
  • Example prompts — expandable examples from the agent’s documentation to help you get started.
  • Credential panel — shows required and optional credentials with connection status. Connect OAuth providers, enter API keys, or manually override any credential. Required credentials block execution until connected.
  • Environment variables — key-value editor for any additional configuration the agent needs.
  • Artifact upload — drag and drop files for agents that work with artifacts (CSVs, audio files, databases).
  • Reference panel — input/output JSON schemas showing what the agent expects and produces.
After executing, the output streams in real time showing text, tool calls (with expandable input/output), and final results. Stats show tokens used, step count, and duration. Each execution is saved in your run history.

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Custom agents

Build and test ad-hoc agents without editing workspace.yml. Configure:
  • Provider — Anthropic, OpenAI, Google, or Groq
  • Model — dropdown of available models (defaults to Claude Sonnet)
  • System prompt — custom instructions for the agent
  • servers — multi-select to attach tool servers
  • Environment variables — additional configuration
Type a prompt, execute, and see streaming results. This is useful for prototyping agent configurations before adding them to your space.

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Tips

Different models yield different results. Sometimes an intelligent model like Opus yields the worst output for your use case — and a faster, cheaper model like Haiku or Sonnet works better. Use the Agent Tester to experiment before committing to a configuration.