feat: add image sending and receiving support to all claw channels#58
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varshinivij wants to merge 5 commits intoaristoteleo:mainfrom
Open
feat: add image sending and receiving support to all claw channels#58varshinivij wants to merge 5 commits intoaristoteleo:mainfrom
varshinivij wants to merge 5 commits intoaristoteleo:mainfrom
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The scope of these changes looks well-contained. Have you tested this across all channels? If the testing is fully covered, we are good to merge |
Wire end-to-end image support through the claw messaging gateway. Inbound images from all 7 channels (Telegram, Discord, Slack, WeChat, Feishu, QQ, iMessage) are now downloaded, encoded as base64 data-URIs, and sent to the chatroom as multimodal _llm_content. Outbound images from tool results (e.g. Python plots) are collected via a new image-aware step callback and delivered back to users through each platform's native image API. Includes 14 new tests covering the full round-trip pipeline. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
… send generated images image_gen.py returned file paths but channel callbacks expected base64_uri in raw_content. Added base64_uri + hidden_to_model to all three generation methods, matching the pattern used by python_interpreter. Also fixed runtime to handle base64_uri as list, hoisted notebook image URIs, and added claw auto-start support. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…preter to leader - Fix _snapshot_images() to use _get_effective_workdir() so images created in workspace directories are detected and sent through claw channels - Add python_interpreter toolset to leader agent in default team template Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Collaborator
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let me know if you think its good to merge. |
zqbake
reviewed
Apr 3, 2026
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| # ── Auto-start configured Claw channels ───────────────────────────── | ||
| try: | ||
| from pantheon.claw import ClawConfigStore |
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pantheon claw alreay worked without this?
…ut directory Instead of relying on each toolset to set base64_uri individually, add a chatroom-level pre/post snapshot that catches images saved to a designated .pantheon/images/ directory. Agents are instructed via system prompt to save all generated images there, keeping the scan cheap (single flat directory). - Add shared image_detection utility (snapshot, diff, encode) - Chatroom.chat() creates .pantheon/images/, snapshots before/after execution, and emits synthetic step messages for newly detected images - Shell toolset: remove Python-only guard so all commands trigger detection, refactored to use shared utility - Claw runtime: deduplicate images in make_image_step_callback - Agent: inject <image_output_constraint> when image_output_dir is set Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The chatroom-level .pantheon/images/ catch-all handles universal image detection. Shell-level snapshot should stay targeted to Python commands only to avoid unnecessary I/O on every shell invocation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Wire end-to-end image support through the claw messaging gateway. Inbound images from all 7 channels (Telegram, Discord, Slack, WeChat, Feishu, QQ, iMessage) are now downloaded, encoded as base64 data-URIs, and sent to the chatroom as multimodal _llm_content. Outbound images from tool results (e.g. Python plots) are collected via a new image-aware step callback and delivered back to users through each platform's native image API. Includes 14 new tests covering the full round-trip pipeline.