Designing APIs for Agents
2 days ago
- #AI Agents
- #Software Development
- #API Design
- APIs designed for humans prioritize minimal usage patterns, good defaults, and approachable SDKs that require little documentation reading.
- APIs designed for agents prioritize clarity and explicitness, as agents can read extensive documentation and produce large amounts of code quickly.
- For agents, defaults are bad, as agents can fill in all fields explicitly based on documentation, reducing misunderstandings and bugs.
- Errors are not bad for agents; they provide opportunities to clarify API behavior, unlike for humans where onboarding errors should be minimized.
- Unclear APIs can cause agents to hallucinate; specific field names (e.g., displayName instead of name) and doc comments help prevent misinterpretation.
- The value of an API for agents lies in providing facts (e.g., bill paid, message sent) that cannot be replicated internally, not in utility functions.
- Freestyle VMs moved from hiding complexity with SDK utilities to providing clear guides, improving agent onboarding and code clarity.
- Agent frameworks and sandbox APIs vary in quality for agents, with examples like Flue Framework being excellent due to minimal, clear semantics, while others like Eve are criticized for being monolithic.