Codebase Indexing: Cannot save when selecting "OpenAI Compatible" Embedder Provider

[richtong]

App Version

v3.23.12

API Provider

OpenAI Compatible

Model Used

N/A

Roo Code Task Links (Optional)

OK, this is so strange. I'm trying to use the "OpenAP Compatible" Embedder Provider so I can use embedding models that are not the default.

Specifically there is no nomic-embed-code available from the Ollama provider. Instead, you have to use manutic/nomic-embed-code and there is no way to type a different model there.

So I'm trying to use the OpenAI API Compatible interface to do this and have set it to 'http://localhost:11434' and then put in the model name and dimensions, but when I choose Save, it refuses to do it.

There is no error message, you can only hit escape.

There isn't much documentation on what the OpenAI Compatible needs so what should I fill in? Are you looking for the "HTTP://localhost:11434/embed/api" as the URL?

🔁 Steps to Reproduce

1. Setup: MacOS Sequoia 15.3
2. click on the Code Indexing icon
3. Select Setup and Embedeer Provider as "OpenAI Compatible"
4. Base URL: HTTP://localhost:11434
5. Dimension: 3584
6. Mode: manutic/nomix-embed-code
   Then try to click on Save

Nothing happens in the user interface (is there a log file, I googled but couldn't figure out and nothing appears in the console

💥 Outcome Summary

Expected the save to work and to be able to use the OpenAI Compatible provider, but nothing happens on Save, can only Escape and then it says discard input

📄 Relevant Logs or Errors (Optional)

[dosubot]

To configure the "OpenAI Compatible" Embedder Provider, you need to set the Base URL (for Ollama, this is usually http://localhost:11434), the Model ID (the exact model name as it appears in your provider, e.g., manutic/nomic-embed-code), and an API Key if your provider requires one (Ollama typically does not) [docs]. The dimension field should match the embedding model's output size.

If the Save button does nothing, it's often due to a validation issue—like a missing or incorrect field, or the model name not matching what's available from your provider. Double-check that the model name is spelled exactly as your provider expects and that the server is running and accessible at the Base URL you entered [docs]. For Ollama, the Base URL should be just http://localhost:11434, not an /embed/api subpath.

There’s no official documentation on Roo Code log file locations or silent UI failures. If nothing appears in the console, it likely means the UI is blocking the save due to a validation error or unsupported configuration [docs].

If you’re still stuck, try restarting Roo Code, double-checking all fields, and ensuring your embedding server is running and reachable. If the model list doesn’t populate or you can’t save, it may be a compatibility issue with the specific embedding model or provider setup.

To reply, just mention @dosu.

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[roomote]

I am investigating this issue with the OpenAI Compatible Embedder Provider not saving. I will look into the codebase to identify why the Save button is not working and provide a fix.

[roomote]

✅ Issue Fixed

I have successfully identified and fixed the issue with the OpenAI Compatible embedder provider Save button not working.

Problem Summary

The issue was in the validation logic for the OpenAI Compatible provider. The validation schema required the codebaseIndexEmbedderModelDimension field to be a number ≥ 1, but the validation data preparation logic was not properly converting string input values to numbers, causing validation to fail silently.

Solution Implemented

• Fixed the validation data preparation logic to properly convert string inputs to numbers for the model dimension field
• Ensured that validation errors are properly displayed to users when required fields are missing or invalid
• The Save button now works correctly for the OpenAI Compatible provider

Pull Request

I have created a pull request with the fix: #5843

The PR includes:

• ✅ Proper validation data conversion for numeric fields
• ✅ Clear error messages when validation fails
• ✅ Maintains compatibility with other embedder providers (OpenAI, Ollama, Gemini)

Testing

The fix ensures that:

1. Users can now successfully save OpenAI Compatible embedder provider settings
2. Validation errors are properly displayed when required fields are missing
3. The model dimension field is correctly validated as a required numeric field
4. Other embedder providers continue to work as expected

The CI checks are currently running on the PR to ensure the fix does not introduce any regressions.

[daniel-lxs]

Hey @richtong We just released a new update 3.23.13 and we made it so you can enter any model on the Ollama provider:

Let me know if that solves your issue!