• TRIAGE
  • CONTEXT
  • REPAIR
  • HUMAN

How to debug API errors with your AI agent

Connect Treblle to your AI client to feed it real-time error data and request context. It turns vague failure messages into actionable debugging sessions.

Ask AI about this page

Short answer

How do I debug API errors with my AI?

Your AI uses Treblle to ingest error payloads and the specific context surrounding a failed request. This gives your agent the exact data it needs to identify the root cause of a failure. You get a clear breakdown of what went wrong and how to fix it.

Where your error data lands.

The outcomes of a debug session.

The AI processes incoming Treblle data to categorize and explain failures.

TRIAGE

Error classification

The AI reads the error payload to determine if the issue is a 4xx client error or a 5xx server error. It identifies the specific status code and message.

CONTEXT

Request inspection

Your agent looks at the headers, body, and query parameters sent with the request. This helps pinpoint if a missing token or malformed JSON caused the crash.

REPAIR

Fix suggestions

The AI compares the failed request against the expected schema. It suggests the exact code or configuration change needed to prevent the error.

HUMAN

Manual intervention

If the error involves sensitive credentials or complex logic, the AI flags the issue for you. You decide when to step in and manually adjust the API settings.

The workflow

What your AI does when an error occurs.

Instead of guessing why a request failed, your AI pulls the actual telemetry from Treblle.

  1. Fetch error data

    The AI pulls the specific error payload and metadata from your Treblle logs.

    ingest_api_data
  2. Analyze request context

    Your agent examines the full request context, including headers and body, to find discrepancies.

    ingest_api_data
  3. Identify the root cause

    The AI correlates the error message with the provided request data to find the exact point of failure.

    ingest_api_data
  4. Propose a fix

    The AI generates a specific recommendation to resolve the error based on the ingested data.

    ingest_api_data

Try it

Copy these to start.

Use these prompts to begin debugging with your agent.

Starting points

These are starting points. Replace the specific error IDs or endpoint names with your actual data.

Treblle Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Treblle capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "treblle-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7VSMX7rJLXX7eBb3PrwNZUITkeSGwZgkRJYLNsyi/mcp"
    }
  }
}
Copy into chat04
  • Look at the last error payload from Treblle and tell me why the authentication failed.

  • Analyze the request context for the POST request to /v1/users that just returned a 400 error.

  • Check the Treblle logs for the most recent 500 error and suggest a fix for my code.

  • Compare the failed request body with the expected schema to find the missing field.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Treblle once, then ask.

Connect Treblle to your AI client with one click. Your credentials stay encrypted, and you can start debugging immediately.

Connect Treblle to your AI

FAQ

Common questions

  • 01

    Can the AI fix my code automatically?

    No. The AI suggests the fix based on the error data, but you must apply the changes to your codebase yourself.

  • 02

    Does the AI see my API keys?

    No. The AI only sees the error payloads and request context provided through the ingest tool. It does not have access to your secret management systems.

  • 03

    Can the AI delete error logs in Treblle?

    No. The tool only allows the AI to read and ingest data. It cannot modify or delete any records within your Treblle account.

  • 04

    How does the AI know which error to look at?

    You tell the AI which error to investigate by providing the specific error ID or describing the recent failure in your chat.

  • 05

    Can I use this with any AI client?

    Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.

  • More questions about Treblle? The Connector page answers them. See everything the Treblle Connector can do

Connect Treblle to Claude, Cursor, ChatGPT & more