Add quality and output_format to ImageRequestOptions, plumb them through
the JSON/multipart request bodies, generalize asset URL collection to
non-image formats, and add GenerateLayeredDocument for PSD output.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When multiple image-generator tasks carry the same brief, request all
images from a single GPT Image call with Count=N instead of firing one
call per image. Adds directImageBatchCount/Prompt detection, batch
(incremental) generation paths, and folds the planned count into the
idempotency key. Disables the streaming plan probe for multi-image
requests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
For image / pure-image / image-generator / image-action modes, skip the
task-planning round trip and hand the prompt straight to the image model,
deriving the requested image count from the composer settings. Also
normalize completed image-generator nodes back into regular image nodes
(clearing the image-generator layer role and defaulting Tone to "visual")
when merging generated results and when restoring finished nodes, so a
finished generator node is not re-appended as a duplicate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Derive an ordered map of each inline reference image to the surrounding
prompt text describing its role, and feed it into the decision, research,
task-plan, conversation and image-prompt builders. The image prompt now
carries this placement so reference roles are not swapped.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Let the planner return a clarify/chat intent that asks 2-4 targeted
questions (imageCount 0) when essentials are missing, instead of forging
ahead. Tighten prompt guidance to preserve user wording and stated
reference-image roles, avoid inventing copy/specs, keep durable brand
constraints, and treat vague taste feedback as clarification. Also
fix the generation heartbeat goroutine to stop cleanly via defer, add
research-query fallbacks, and refresh image-only capability copy.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Server: forward canvas/reference images to the image model so extract,
continue, and edit requests stay faithful to the source product.
- Add ImageRequestOptions.Images and route requests with inputs to the
/v1/images/edits endpoint, via multipart upload (default) or JSON
image_url payload, selectable through Agent.Image.InputImageTransport.
- Extract reference URLs from prompt directives, inline @image tokens,
and chat message image/mask contents; fold them into the idempotency
key and prepend a reference-fidelity instruction to the prompt.
Frontend:
- Shrink CanvasToast to a compact top pill.
- Paste an internal transparent clipboard node instead of re-uploading
when it matches the clipboard image.
- Keep agent-project polling alive on stream error while streaming.