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Intermediate

1 hour

How to Upgrade Your API Integration with Eigent

Upgrade your app to the latest API models and features while checking for regressions before you ship.

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What you need

  • Eigent desktop app
  • Codebase access (local or connected repo)
  • API docs reference

Best for

  • Teams upgrading from older models or deprecated API surfaces
  • Repos that need behavior-preserving migrations with explicit validation
  • Engineers who want a change inventory before touching integration code

Starter Prompt

Upgrade this API integration to the latest recommended models and features. Requirements: - Start by inventorying the current models, endpoints, and tool assumptions in the repo. - Identify the smallest migration plan that gets us onto the latest supported path. - Preserve behavior unless a change is required by the new API or model. - Update prompts using the latest model guidance. - Call out any prompt, tool, or response-shape changes we need to review manually.

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How it works

  1. Inventory the current models, endpoints, and tool assumptions in the repo.
  2. Identify the smallest migration plan that gets onto the latest supported API path.
  3. Preserve existing behavior unless a change is required by the new API or model.
  4. Update prompts and parameters using the latest model guidance.
  5. Call out any prompt, tool, or response-shape changes that need manual review before shipping.

More prompts to try

  • Which endpoints or model names in this codebase are deprecated or no longer recommended?
  • What is the minimum set of changes needed to move to the latest API version?
  • Are there any behavioral differences in the new model we should evaluate before shipping?
  • Generate a checklist of manual validation steps for this migration.

How to use

Open Eigent with your codebase connected. Run the starter prompt to get an inventory of what currently exists and a proposed migration plan. Review the plan, then ask Eigent to implement each step. Build an evaluation pipeline to confirm behavior is preserved after changes — automated evals catch regressions that code review alone will miss.

Expected output

An inventory of current models and endpoints, a step-by-step migration plan, updated code with the new API integration, and a list of changes that require manual behavioral validation before shipping.

Limitations

  • Model behavior changes require manual evaluation — automated code changes alone do not prove parity.
  • Eigent can update code but cannot run your evaluation suite; you must validate outputs separately.
  • Prompt changes in particular need human review since small wording differences can shift model behavior.

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