anomalyco / anomalyco/opencode

Muse Spark model requires explicit opt-in for data collection

Open
#44,495 1 comment 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
TypeScript
Stars
209k
Forks
27.5k
PR merge metrics
PR metrics pending

Description

Description

The Muse Spark 1.2 Contributor model fails with an error indicating that it collects data used to improve its quality and requires explicit opt-in. This prevents users from using the model without understanding the data collection implications.

Error Message

AI_APICallError: This model collects data used to improve its quality and requires explicit opt in: https://opencode.ai/workspace/wrk_01KJHRCVJTA9W5D147MYK8K5JD/go

Steps to Reproduce

  1. Configure OpenCode to use the Muse Spark 1.2 Contributor model (provider: opencode-go)
  2. Attempt to use the model for a session
  3. Observe the stream error and process error

Expected Behavior

The model should either:

  • Automatically handle opt-in requirements
  • Provide a clear prompt for users to opt-in before using the model
  • Display a user-friendly message about data collection implications

Actual Behavior

The error occurs during streaming and processing:

timestamp=2026-08-20T22:44:59.419Z level=ERROR run=4d354d3a message="stream error" providerID=opencode-go modelID=muse-spark-1.2-contributor session.id=ses_fdea6c2a4ffeq4IpWcEamMCoUs small=true agent=title mode=primary error.error="AI_APICallError: This model collects data used to improve its quality and requires explicit opt in: https://opencode.ai/workspace/wrk_01KJHRCVJTA9W5D147MYK8K5JD/go"

timestamp=2026-08-20T22:45:00.782Z level=ERROR run=4d354d3a message="stream error" providerID=opencode-go modelID=muse-spark-1.2-contributor session.id=ses_fdea6c2a4ffeq4IpWcEamMCoUs small=false agent=build mode=primary error.error="AI_APICallError: This model collects data used to improve its quality and requires explicit opt in: https://opencode.ai/workspace/wrk_01KJHRCVJTA9W5D147MYK8K5JD/go"

timestamp=2026-08-20T22:45:00.787Z level=ERROR run=4d354d3a message=process session.id=ses_fdea6c2a4ffeq4IpWcEamMCoUs messageID=msg_021593e39001qJP8by3X1Qt8nR error="This model collects data used to improve its quality and requires explicit opt in: https://opencode.ai/workspace/wrk_01KJHRCVJTA9W5D147MYK8K5JD/go" stack="AI_APICallError: This model collects data used to improve its quality and requires explicit opt in: https://opencode.ai/workspace/wrk_01KJHRCVJTA9W5D147MYK8K5JD/go"
    at <anonymous> (/$bunfs/root/chunk-56zmd6rp.js:6:14544)
    at async <anonymous> (/$bunfs/root/chunk-56zmd6rp.js:6:12751)
    at processTicksAndRejections (native:7:39)"

Environment

  • OpenCode version: Latest dev build
  • OS: macOS 26.0.1
  • Terminal: iTerm2
  • Model: Muse Spark 1.2 Contributor (provider: opencode-go)

Additional Context

This error appears to be a model-specific requirement that isn't properly handled by OpenCode. The model provider should either handle opt-in automatically or OpenCode should provide a mechanism for users to acknowledge data collection before using the model.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the opencode-go provider and the streaming and process error paths shown in the report. Trace how the model-specific opt-in error is surfaced, then determine the intended user-facing behavior with maintainers; done means the requirement is handled clearly and the reported session no longer fails without an understandable opt-in path.

Written by the indexing model from the issue text.

Assessment

Tech stack
typescript
Domain
ai, backend-api-design
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
38/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.