[mrhy7176]

Summary

• add CloudGPU as a built-in OpenAI-compatible provider alias (cloudgpu, base URL https://cloudgpu.app/v1), in the same shape as the Runcrate and Atlas Cloud aliases
• discover CLOUDGPU_API_KEY for automatic model selection and credential forwarding, with deepseek-v4.1-flash as the default model
• merge consecutive system messages, like the other model-host aliases
• document inline and named-model configuration, add an example recipe, and list the provider in navigation, the alias table and the schema description

CloudGPU rents cloud GPUs and serves DeepSeek, Kimi, GLM, MiniMax and other models through an OpenAI-compatible API (docs, public model list at https://cloudgpu.app/v1/models). It is not in models.dev, so it gets the same exemptions as runcrate, atlascloud and api-route in TestProviderIDsMatchEmbeddedCatalog and modelsDevAbsentProviders, and the docs page says no catalog metadata is imported.

Testing

• go test ./pkg/model/provider/... ./pkg/config/...: pass (new rows in TestCatalogAliases, the auto-config tables, the system-message merge tests and openAIAliasProviders)
• CLOUDGPU_API_KEY=... go test ./pkg/model/provider/ -run 'TestOpenAIAliasProvider_LiveAPI/cloudgpu' -v: PASS, live response "pong"
• gofmt -l pkg/: clean

This PR was prepared with AI assistance (an AI agent wrote the change and ran the tests and the live call above).

Disclosure: I work on CloudGPU.

[aheritier]

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