Apollo Places: enrich insights with personal place name + notes
Optional integration with the sibling Apollo project's user-defined Places (name + lat/lon + radius_m + description + category). When APOLLO_API_BASE_URL is set, the per-photo location resolver folds the most-specific containing Place into the LLM prompt's location string — "Home (My house in Cambridge) — near Cambridge, MA" rather than the city name alone. Smallest-radius wins; Apollo sorts server-side via /api/places/contains, so the carousel badge in Apollo and the prompt string here always agree. Adds an agentic tool `get_personal_place_at(latitude, longitude)` that the LLM can call during chat continuation. Tool description tells the model the call returns the user's free-text notes, not just a name. Deliberately narrow — no enumerate-all variant, lat/lon required. Unset APOLLO_API_BASE_URL = legacy Nominatim-only path, tool is not registered. 5 s timeout; all errors degrade silently. Tests: 5 unit tests for compose_location_string (Apollo only, Nominatim only, both, both-with-description, neither). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -359,7 +359,10 @@ impl InsightChatService {
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.map(|imgs| !imgs.is_empty())
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.unwrap_or(false);
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let offer_describe_tool = !is_hybrid && local_first_user_has_image;
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let tools = InsightGenerator::build_tool_definitions(offer_describe_tool);
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let tools = InsightGenerator::build_tool_definitions(
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offer_describe_tool,
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self.generator.apollo_enabled(),
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);
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// Image base64 only needed when describe_photo is on the menu. Load
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// lazily to avoid disk IO when the loop never invokes it.
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@@ -786,7 +789,10 @@ impl InsightChatService {
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.map(|imgs| !imgs.is_empty())
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.unwrap_or(false);
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let offer_describe_tool = !is_hybrid && local_first_user_has_image;
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let tools = InsightGenerator::build_tool_definitions(offer_describe_tool);
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let tools = InsightGenerator::build_tool_definitions(
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offer_describe_tool,
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self.generator.apollo_enabled(),
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);
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let image_base64: Option<String> = if offer_describe_tool {
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self.generator.load_image_as_base64(&normalized).ok()
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