feat: add Tensorix as an LLM provider

[shanemort1982]

Hey 👋

I've added Tensorix as a new provider option. It's an OpenAI-compatible API gateway — one key gets you DeepSeek V3/R1, Llama 4, Qwen 3, GLM-4, MiniMax, and a bunch of other models. Pay-as-you-go, no subscription.

What's in the PR

Pretty lightweight since it just extends the OpenAI class:

• core/llm/llms/Tensorix.ts — new provider class (14 lines, extends OpenAI)
• core/llm/llms/index.ts — registration
• core/control-plane/schema.ts — schema validation
• extensions/vscode/config_schema.json — VS Code config support
• gui/src/pages/AddNewModel/configs/providers.ts — GUI model picker with AUTODETECT

Usage

{
  "models": [{
    "provider": "tensorix",
    "model": "deepseek/deepseek-chat-v3.1",
    "apiKey": "YOUR_KEY"
  }]
}

Users can also pick Tensorix from the Add Model UI and it'll auto-detect available models.

Why add this

Continue already has great provider coverage and Tensorix fills a gap for users who want a single gateway to multiple model families (DeepSeek, Meta, Qwen, etc.) without managing separate API keys. We've already got a Continue integration guide on our docs and would be happy to cross-link — more visibility for both projects.

Followed the same patterns as SiliconFlow/Novita. Let me know if you'd like any changes!

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Summary by cubic

Add tensorix as an OpenAI-compatible LLM provider available across config, VS Code, and the Add Model UI with auto-detect. Unlocks DeepSeek, Llama, Qwen, GLM, and more via a single API key.

• New Features

  • New Tensorix class extending OpenAI with default apiBase https://api.tensorix.ai/v1/ and model deepseek/deepseek-chat-v3.1.
  • Registered provider in LLMClasses, control-plane schemas (models and embeddings), and packages/openai-adapters (index + types).
  • Autodetect support: added to templating, image support, and parallel generation lists.
  • VS Code config_schema.json, GUI model picker with API key + AUTODETECT, and docs page customize/model-providers/more/tensorix.mdx (added to navigation).

• Bug Fixes

  • Fixed missing commas in VS Code config_schema.json for tensorix entries.

^{Written for commit 93c7f1f. Summary will update on new commits.}

[github-actions]

All contributors have signed the CLA ✍️ ✅
_{Posted by the CLA Assistant Lite bot.}

[cubic-dev-ai]

1 issue found across 5 files

Prompt for AI agents (unresolved issues)

Check if these issues are valid — if so, understand the root cause of each and fix them. If appropriate, use sub-agents to investigate and fix each issue separately.


<file name="extensions/vscode/config_schema.json">

<violation number="1" location="extensions/vscode/config_schema.json:230">
P1: Missing comma after newly added `"tensorix"` makes `config_schema.json` invalid JSON and breaks schema parsing.</violation>
</file>

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[shanemort1982]

I have read the CLA Document and I hereby sign the CLA

[RomneyDa]

Hi @shanemort1982,

I can merge this with these changes:

• Add to config.yaml providers as well (also see openai adapters)
• Check PROVIDER_SUPPORTS_IMAGES, PARALLEL_PROVIDERS, PROVIDER_HANDLES_TEMPLATING (almost certainly add to that)
• Add docs (a "more providers" page)