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Coding · Intermediate

# Multimodal asset processing and tool execution

Automate image analysis, optical character recognition, and media transformations via tool APIs

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive asset processing task
- ThenExecute multimodal tool call
- ResultPresent output asset or analysis

Coordinate multimodal tool workflows across image inspection, visual question answering, and media generation. The bot interprets tasks, runs tool calls via command-line environments, verifies output assets, and reports results.

## Prompt to start with

BotBentoRecommended

```
When receiving an image or media processing request, inspect the input parameters and select the appropriate multimodal tool interface. Run the task in your execution environment, capture the output artifacts or extracted text, and review them for quality. If the action involves deleting previous files or publishing assets to remote destinations, request user approval before proceeding. Report the final output, logs, and asset locations in chat.
```

Copy

## Tools it uses

ChatTerminalDocs

## Works with

BotBento

## Tags

- multimodal
- computer-vision
- api
- automation

## Source

[agentlego: Enhance LLM agents with versatile tool APIs !\[GitHub Repo stars\](https://img.shields.io/github/stars/InternLM/agentlego?style=soc](https://github.com/InternLM/agentlego)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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