feat(ai): hybrid backend mode for agentic insights
Adds a `backend` column to photo_insights (default 'local', migration 2026-04-20-000000) and a corresponding optional `backend` field on the agentic request. When a request sets backend=hybrid: - The local Ollama vision model is called once via describe_image to produce a text description. - The description is inlined into the first user message as text — no base64 image is ever sent to the chat model. - The agentic tool-calling loop and title generation route through an OpenRouterClient (dispatched via &dyn LlmClient), letting the user pick any tool-capable model from OpenRouter per request. - describe_photo is removed from the offered tools since the description is already present. Embeddings and vision stay on local Ollama regardless of backend. Hybrid mode requires OPENROUTER_API_KEY; handlers return a clear error when hybrid is requested without it, and also when the selected OpenRouter model lacks tool-calling support. AppState gains an optional openrouter client built from OPENROUTER_API_KEY / OPENROUTER_BASE_URL / OPENROUTER_DEFAULT_MODEL / OPENROUTER_EMBEDDING_MODEL / attribution headers. Default model is anthropic/claude-sonnet-4. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -100,6 +100,8 @@ pub struct InsertPhotoInsight {
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pub model_version: String,
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pub is_current: bool,
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pub training_messages: Option<String>,
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/// `"local"` (Ollama with images) | `"hybrid"` (local vision + OpenRouter chat).
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pub backend: String,
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}
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#[derive(Serialize, Queryable, Clone, Debug)]
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@@ -115,6 +117,8 @@ pub struct PhotoInsight {
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pub is_current: bool,
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pub training_messages: Option<String>,
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pub approved: Option<bool>,
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/// `"local"` (Ollama with images) | `"hybrid"` (local vision + OpenRouter chat).
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pub backend: String,
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}
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// --- Libraries ---
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