Implement optional single-image intake, Signal ingestion, and multimodal vision analysis

- Add image intake service with format validation (JPEG, PNG, WebP) and EXIF/GPS stripping
- Enforce strict single-image rule across Web and Signal attachment channels
- Implement token-optimized vision downscaling and JPEG compression
- Add IMAGE_CONTEXT pipeline stage with OmniRoute vision routing and resilient failover
- Seed and manage versioned idea-image-interpreter prompt in catalog
- Update Web UI with responsive image picker, preview chip, and Visual Context tab
- Add comprehensive automated test suite in test_image_intake.py
- Update README and Labyricorn devlog

thinkstorm/services/opengist.py

@@ -134,7 +134,8 @@ class OpenGistAdapter(BaseServiceAdapter):
         research_docs: Dict[str, str],
         outputs: Dict[str, str],
         provenance_runs: List[Dict[str, Any]],
-        existing_gist_id: Optional[str] = None
+        existing_gist_id: Optional[str] = None,
+        submission_image: Optional[Dict[str, Any]] = None
     ) -> Dict[str, Any]:
         """Persists structured idea artifacts to local durable store and syncs with OpenGist."""
         # 1. Prepare local disk artifact tree
@@ -147,13 +148,37 @@ class OpenGistAdapter(BaseServiceAdapter):
         # 2. Write idea.md
         cat_str = ", ".join(categories) if categories else "General"
         tag_str = ", ".join(f"#{t}" for t in tags) if tags else "None"
+
+        img_section = ""
+        if submission_image and submission_image.get("present"):
+            art_id = submission_image.get("artifact_id", "IMG-TS")
+            mime = submission_image.get("mime_type", "image/jpeg")
+            w = submission_image.get("width", 0)
+            h = submission_image.get("height", 0)
+            size_kb = round(submission_image.get("size_bytes", 0) / 1024, 1)
+            sha = submission_image.get("sha256", "")
+            img_section = (
+                f"## Reference Image\n\n"
+                f"- **Artifact ID:** `{art_id}`\n"
+                f"- **MIME Type:** `{mime}`\n"
+                f"- **Dimensions:** `{w}x{h}`\n"
+                f"- **File Size:** `{size_kb} KB`\n"
+                f"- **SHA-256:** `{sha}`\n\n"
+            )
+
+        ctx_section = ""
+        if "image-context.md" in research_docs:
+            ctx_section = f"## Image Context\n\n{research_docs['image-context.md']}\n\n"
+
         idea_md = (
             f"# {idea_id}: {title}\n\n"
             f"**Lifecycle State:** `{lifecycle_state}`  \n"
             f"**Categories:** {cat_str}  \n"
             f"**Tags:** {tag_str}  \n\n"
             f"## Summary\n{summary}\n\n"
-            f"## Original Submission\n> {original_text.strip()}\n"
+            f"## Original Submission\n> {original_text.strip()}\n\n"
+            f"{img_section}"
+            f"{ctx_section}"
         )
         (idea_dir / "idea.md").write_text(idea_md, encoding="utf-8")