[AI Bundle] Require model class in ai.model configuration
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We could also use |
OskarStark
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carsonbot
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+1 for the default |
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ai.model configuration
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Done |
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… (OskarStark) This PR was squashed before being merged into the main branch. Discussion ---------- [AI Bundle] Process model configuration from semantic config | Q | A | ------------- | --- | Bug fix? | yes | New feature? | no | Docs? | no | Issues | Fixes #898 | License | MIT Replaces #914 ## Summary The `ai.model` configuration in the AI Bundle is now properly processed and passed to `ModelCatalog` services. Previously, the configuration was validated but never used by the bundle, requiring users to manually configure services in `services.yaml`. ## Changes - Added `processModelConfig()` method to process model configuration from semantic config - Uses the `class` field from the config (introduced in #920) - Support for all platforms that have a ModelCatalog service - Proper handling of vertexai platform name mapping to vertexai.gemini ## Example With this fix, the following configuration now works as expected: ```yaml ai: model: ollama: custom-model-name: class: Symfony\AI\Platform\Bridge\Ollama\Ollama capabilities: - input-text - output-text ``` The model will be properly passed to the `OllamaModelCatalog` constructor without requiring manual service configuration. Commits ------- 2884d29 [AI Bundle] Process model configuration from semantic config
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The ai.model configuration now requires providing a model class that extends Symfony\AI\Platform\Model. This ensures type safety and proper model registration.