Building Anzen: Lessons Learned from Implementing Token Vault
The article discusses the challenges faced while building Anzen, a project that uses Auth0's Token Vault to securely manage OAuth tokens for AI agents, instead of storing them in the application.
Why it matters
Implementing secure token management for AI agents is crucial to prevent credential breaches and ensure user control over access permissions.
Key Points
- 1nextjs-auth0 v4 has significant changes from v3, making the implementation more complex
- 2Obtaining the actual provider tokens (e.g., GitHub, Slack) requires a separate token exchange flow, which was difficult to get right
- 3Zod schemas caused compatibility issues with Groq's API, requiring a switch to jsonSchema() from the AI SDK
Details
The author initially thought that implementing Token Vault, a feature that allows AI agents to request scoped access tokens instead of storing credentials, would be straightforward. However, they encountered several challenges during the development process. First, they discovered that the nextjs-auth0 SDK had undergone major changes from version 3 to version 4, with significant differences in the API and conventions. This made the implementation more complex than expected. Secondly, the author learned that obtaining the actual provider tokens (e.g., GitHub, Slack) required a separate token exchange flow, which took significant debugging to get right. Finally, they encountered compatibility issues with Zod schemas and Groq's API, leading them to switch to the jsonSchema() function from the AI SDK.
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