Getting too many errors: AiError: 3040: Capacity temporarily exceeded, please try again. ``` const
Getting too many errors: AiError: 3040: Capacity temporarily exceeded, please try again.

const embeddings: any = await env.AI.run("@cf/baai/bge-m3", {
text: [prompt],
});
@cf/google/embeddinggemma-300m Does anyone know the price of this model?
AiError: 9000: model temporarily unavailable when trying to use @cf/baai/bge-m3is there a status page for Workers AI and model capacity? https://www.cloudflarestatus.com/ says all systems operational
nova-3 work with language spanish websocket via REST API, i'm testing this with the repository: https://github.com/cloudflare/realtime-examples/tree/main/ai-tts-stt when setting the language to 'es' or 'es-419' it gives me a 500 error: Failed to establish Nova WebSocket: 500 while the websocket keeps running, it works for english only, can anyone help me? error: '4002: could not route request to AI model', with model: '@cf/baai/bge-m3',Error: 3030: 1 validation error for VllmBatchRequest does anyone know what doesn't mean and how to resolve it?InferenceUpstreamError: error code: 1031 and now I'm getting InferenceUpstreamError: <!DOCTYPE html>... where it is returning CF html error page, with 500 error. I've tried using my production worker, and then in dev with --remote and dev locally. In all cases it returns some variation of the above but all fail. The code worked fine yesterday and hasn't changed. It fails at the call "@cf/qwen/qwen2.5-coder-32b-instruct". All other requests appear to work.remote = true included in my wrangler.toml I had it set in both queues and r2_buckets, but oddly not in ai. Removing them fixed the problem.remote = true solved the problem in dev but not in production. I redeployed worker, but the request still hangs. Nothing in logs...{
"errors": [
{
"message": "AiError: AiError: model temporarily unavailable (58da3f75-5ff1-46ba-a45e-a59d4ada1c33)",
"code": 9000
}
],
"success": false,
"result": {},
"messages": []
}.venv/lib/python3.10/site-packages/llama_index/embeddings/cloudflare_workersai/base.py", line 118, in _aget_text_embeddings
return resp["result"]["data"]
KeyError: 'data'@cf/google/embeddinggemma-300m