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Use this tab to experiment with one model at a time—same flow as a minimal chat client, but requests go through the proxy and are logged like production traffic.

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What this tab is for

  • Validate that your tracking token and tags work.
  • Compare latency and cost across providers or models.
  • Try sample prompts or paste your own text.

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Configuration

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Provider and API key

Choose OpenAI, Anthropic, Google Gemini, or Cloudidr.
  • Third-party providers (OpenAI, Anthropic, Google): paste your own provider API key. The key is sent with the request and is not stored by Cloudidr.
  • Cloudidr: select a managed model (Gemma or Qwen). Uses your Cloudidr tracking token only; Managed Inference credits apply. If your org has no credits, Cloudidr models are blocked with a clear billing message.

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Model

Pick a model from the list for the selected provider. Lists are ordered with newer / flagship entries first where applicable.

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Tracking token (Cloudidr API key)

Pick the default tracking token or choose another active token from the dropdown. This ties the run to your org for usage and billing.

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Tags (optional)

Optional X-Department, X-Project, and X-Agent values (with sample chips) flow into LLM Usage as dimensions for filtering—same headers as the proxy.
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Prompt and sample prompts

Enter any prompt in the text field. Sample prompts (e.g. summarize in bullets, REST vs GraphQL) fill the editor in one click.

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Max tokens

Caps the model’s completion length for this run.

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Thinking budget (Gemini and Qwen only)

For Google Gemini and Cloudidr Qwen, a thinking budget slider controls how many tokens may be used for internal reasoning before the visible answer. If thinking consumes the whole max tokens budget, the UI explains that you should raise max tokens. Gemma does not use this control.

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Run Prompt

Submits the request. Keyboard shortcut: ⌘ Enter (Mac) or Ctrl+Enter (Windows).

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Response panel

Shows the assistant text plus model, latency, input / thinking / output tokens, and estimated cost. A note confirms the request was logged to LLM Usage.