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## Summary
Adds a new copilot tool that allows users to customize
marketplace/template agents using natural language before adding them to
their library.
This exposes the Agent Generator's `/api/template-modification` endpoint
to the copilot, which was previously not available.
## Changes
- **service.py**: Add `customize_template_external` to call Agent
Generator's template modification endpoint
- **core.py**:
- Add `customize_template` wrapper function
- Extract `graph_to_json` as a reusable function (was previously inline
in `get_agent_as_json`)
- **customize_agent.py**: New tool that:
- Takes marketplace agent ID (format: `creator/slug`)
- Fetches template from store via `store_db.get_agent()`
- Calls Agent Generator for customization
- Handles clarifying questions from the generator
- Saves customized agent to user's library
- **__init__.py**: Register the tool in `TOOL_REGISTRY` for
auto-discovery
## Usage Flow
1. User searches marketplace: *"Find me a newsletter agent"*
2. Copilot calls `find_agent` → returns `autogpt/newsletter-writer`
3. User: *"Customize that agent to post to Discord instead of email"*
4. Copilot calls:
```
customize_agent(
agent_id="autogpt/newsletter-writer",
modifications="Post to Discord instead of sending email"
)
```
5. Agent Generator may ask clarifying questions (e.g., "What Discord
channel?")
6. Customized agent is saved to user's library
## Test plan
- [x] Verified tool imports correctly
- [x] Verified tool is registered in `TOOL_REGISTRY`
- [x] Verified OpenAI function schema is valid
- [x] Ran existing tests (`pytest backend/api/features/chat/tools/`) -
all pass
- [x] Type checker (`pyright`) passes with 0 errors
- [ ] Manual testing with copilot (requires Agent Generator service)