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feat: pluggable image-to-text service with OpenAI vision backend (#1038)

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Adds a full-stack image description service: schema, base class,                                                                  
OpenAI backend, gateway dispatch, client APIs (sync/async REST +
websocket), tg-describe-image CLI, IAM capability, and specs.                                                                     
                                                                                                                                    
Closes #879
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Sunny Yang 2026-07-12 05:47:04 -06:00 • committed by GitHub
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6
docs/tech-specs/flow-blueprint-definition.md
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@ -79,13 +79,17 @@ Interfaces can take two forms:
"embeddings": {
"request": "non-persistent://tg/request/{workspace}:embeddings:{class}",
"response": "non-persistent://tg/response/{workspace}:embeddings:{class}"
},
"image-to-text": {
"request": "non-persistent://tg/request/{workspace}:image-to-text:{class}",
"response": "non-persistent://tg/response/{workspace}:image-to-text:{class}"
}
}
```
**Types of Interfaces:**
- **Entry Points**: Where external systems inject data (`document-load`, `agent`)
- **Service Interfaces**: Request/response patterns for services (`embeddings`, `text-completion`)
- **Service Interfaces**: Request/response patterns for services (`embeddings`, `text-completion`, `image-to-text`)
- **Data Interfaces**: Fire-and-forget data flow connection points (`triples-store`, `entity-contexts-load`)
### 4. Parameters Section