Using Muse Code with Muse Spark 1.3

Plan a controlled Muse Code evaluation with Spark 1.3: confirm access, isolate the workspace, define acceptance tests and record costs.

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Last verified 3 September 2026.

Use Muse Spark 1.3 in 4 steps

Step 1 of 4

Try Muse Spark 1.3 in the OneInfer playground without writing code, or create an API key in the Console to call it from your app.

export ONEINFER_API_KEY="your-api-key"

Evaluation workflow

  1. Confirm current access through Meta's official Muse Code documentation; no unverified installer command is supplied here.
  2. Use a disposable branch or working copy and inspect the repository's task instructions.
  3. Select Muse Spark 1.3 if available in your account and record the effort setting.
  4. Give a bounded task with relevant files, acceptance tests and changes requiring approval.
  5. Review the diff, run tests yourself and record tokens, retries and elapsed time before accepting changes.

A useful task brief

State the desired behavior, known failure, relevant paths, allowed commands, acceptance tests and explicit out-of-scope files. Require approval before destructive actions or deployment.

Ready to test the workflow?

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Access and privacy

Muse Code is an external route, not a OneInfer integration. Confirm its data-use terms rather than assuming that every tool session inherits standard API privacy terms.

Frequently asked questions

How current is this information?

This page reflects sources checked on 3 September 2026. Verify current access, pricing and provider terms before an evaluation.

Put Muse Spark 1.3 to work

Fund a controlled evaluation, test it on your own inputs, and measure quality and cost on your workload.

Create account & add creditsRun this with Muse Spark 1.3