536358093ff7fd06d5a66c3c4b08cedd95da4cc8
The intake bot now accepts a photo of a business card in the intake room and turns it into the same new-investor proposal a typed note would. The only new step is image -> text; everything downstream (parse, fuzzy match, in-thread approval, log-communication write) is reused unchanged. M3 was deferred only because Spark Control had no vision model. That blocker is gone: the daily-driver Qwen is vision-capable under the same model id, and the gateway forwards OpenAI multimodal content untouched, so no gateway/server/s9pk change is needed -- this ships bot-only (git pull + rebuild on the Spark). Transcribe-then-reuse (not vision-straight-to-JSON) is deliberate: the transcription becomes the source text the email-integrity rule checks against, so a mis-read address can't reach the CRM unapproved -- same guarantee as the text path. Card commits tag source="matrix_card" for the audit log. - llm.chat_vision: multimodal /v1/chat/completions, same model, same gateway - spark.transcribe_card: faithful card->text, "" on a non-card (NONE sentinel) - bot.on_image/handle_card: download image, transcribe, hand to handle_intake - crm_client: source provenance overridable via the proposal's _source key - tests: test_spark.py + a provenance case; 41/41 suite green
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