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insight-chat: prepend Photo file path: <path> to bootstrap user turn

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Bug: bootstrap user_content was just the user's typed message (plus
the hybrid visual description). Tools that take a file_path arg —
recall_facts_for_photo, get_file_tags, get_faces_in_photo — had no
way to learn the canonical path. Small models would invent
placeholders like "input_file_0.png" or call the tool with a name
guessed from a hidden multimodal input handle, neither of which
matched any real photo.

Fix: prepend a single-line "Photo file path: <normalized>\n\n" block
to user_content. Same shape generate_agentic_insight_for_photo
already uses for non-chat callers — kept the bootstrap minimal
(no date / GPS / tags pre-stuffing; the agentic loop can fetch
those via tools when needed).

Hybrid still injects the visual description block between the path
block and the user message; local mode just gets path + user text.
This commit is contained in:
Cameron Cordes
2026-05-08 10:59:35 -04:00
parent a29ff406a1
commit 24ecf2abd4
1 changed files with 14 additions and 5 deletions
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19
src/ai/insight_chat.rs
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@@ -934,12 +934,20 @@ impl InsightChatService {
// discusses metadata-only is still useful.
let image_base64: Option<String> = self.generator.load_image_as_base64(&normalized).ok();
// Photo path block. Several agentic tools (recall_facts_for_photo,
// get_file_tags, get_faces_in_photo, etc.) take a `file_path` arg
// that the model has no way to know unless we put it in the user
// turn. Without this block small models invent placeholders like
// "input_file_0.png" or refuse and ask the user. Mirrors the
// user_content layout `generate_agentic_insight_for_photo` uses.
let path_block = format!("Photo file path: {}\n\n", normalized);
// Hybrid backend: pre-describe the image via local Ollama vision
// and inline the description into the user turn. OpenRouter chat
// models don't see images directly. Mirrors the same pre-describe
// pass that `generate_agentic_insight_for_photo` does for hybrid.
let user_content = if is_hybrid {
let visual = match image_base64.as_deref() {
let visual_block = if is_hybrid {
match image_base64.as_deref() {
Some(b64) => match self.ollama.describe_image(b64).await {
Ok(desc) => format!(
"Visual description (from local vision model):\n{}\n\n",
@@ -951,12 +959,13 @@ impl InsightChatService {
}
},
None => String::new(),
};
format!("{}{}", visual, req.user_message)
}
} else {
req.user_message.clone()
String::new()
};
let user_content = format!("{}{}{}", path_block, visual_block, req.user_message);
// Tool gates. Local + image present → expose describe_photo so
// the chat model can re-look at the photo on demand. Hybrid:
// already inlined, no tool needed.