Add conversation image replacement
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@@ -23,7 +23,7 @@ stateDiagram-v2
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### 1. Discovery
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The discovery loop rotates through enabled subreddits and authenticated runtimes. A runtime fetches Reddit `/new` data using the process-shared `RedditRequestCoordinator`. In the default `post-author` targeting mode those posts enter intake directly. An image subreddit configured for `comment-author` instead reads top-level comments from at most five newly listed posts, batches previously unseen eligible comment text through the reaction classifier, and creates candidates only for role-alignment verdicts at or above 0.8 confidence. A bounded in-process cache prevents unchanged comments from repeatedly consuming model calls. The candidate ID, author, timestamp, and permalink come from the comment while the original post image and title remain attached as preparation context; the usual image screen later verifies the depicted gender against `reddit.targetGenders`. Intake then deduplicates candidate IDs and authors, excludes processed/contacted history, stores the full snapshot, source type, weight, and timestamps, and logs exact intake counts.
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The discovery loop rotates through enabled subreddits and authenticated runtimes. A runtime fetches Reddit `/new` data using the process-shared `RedditRequestCoordinator`. In the default `post-author` targeting mode those posts enter intake directly. An image subreddit configured for `comment-author` instead reads top-level comments from at most five newly listed posts and batches previously unseen eligible comment text through the reaction classifier. Candidates require a role-alignment verdict at or above 0.8 confidence; when `reddit.targetGenders` is non-empty, the expressed gender perspective must also be included. An `unknown` perspective fails closed unless explicitly targeted. A bounded in-process cache prevents unchanged comments from repeatedly consuming model calls. The candidate ID, author, timestamp, and permalink come from the comment while the original post image and title remain attached as preparation context; the usual image screen later verifies the depicted gender against the same target list. Intake then deduplicates candidate IDs and authors, excludes processed/contacted history, stores the full snapshot, source type, weight, and timestamps, and logs exact intake counts.
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The queue grows to a demand-based target rather than a fixed backlog. The target is the smaller of configured `reddit.maxReadyCandidates` and the work that authenticated running accounts can still send within the recent-post window, accounting for rolling hourly capacity and minimum message spacing. Intake admits only the current deficit, newest Reddit posts first, pauses at zero outbound capacity, and reports fetched posts left unevaluated because the funnel is full. Reddit request pacing, not a tight application poll, remains the primary request limiter.
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@@ -130,6 +130,8 @@ After the normal reply limiter waits, automation refreshes Matrix and rechecks t
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The conversation UI also supports an explicitly confirmed manual choice from this same eligible set. Its read endpoint reports request-matched options without exposing filesystem paths. The send endpoint refreshes the conversation inside the owning account's rate limiter, rechecks the latest inbound request and safety boundaries, reserves the selected asset in the same durable ledger, and uses the same Matrix image-plus-reciprocal delivery path. A successful manual share marks automation as user-overridden.
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Green-screen replacement is a generation-only conversation flow. The operator selects a source already held in the consent-controlled exchange library and a target identified by the server as either the triggering post image or a downloaded attachment in that conversation. `ImageReplacementService` detects the largest green area at bounded resolution, derives its perspective quadrilateral, cover-fits and warps the target, composites through the actual green pixels so foreground occlusions remain, and carries a bounded amount of the source lighting into the insert. The JPEG is returned as a private data-URL preview; it is not persisted, classified, added to the share ledger, or sent automatically.
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Conversation performance is derived from the complete attributed inbound transcript. Engagement cannot become a prompt-learning example while automation is active, and a later decline, boundary, or upsell removes an earlier example before future prompts load it.
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## Dashboard data and events
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