Open Inference Tutorial #7
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| # Arthur Configuration | ||
| ARTHUR_BASE_URL=https://app.arthur.ai # or your self-hosted instance | ||
| ARTHUR_API_KEY=your_arthur_api_key_here | ||
| ARTHUR_TASK_ID=your_task_id_here # ensure that your task is marked as agentic: `is_agentic=True` |
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Does it make sense to include instructions for this? This was meant to be an internal tutorial so I didn't bother, but that may be vital for external users.
| **Examples:** | ||
| - "What is 10pm EDT in California?" | ||
| - "Convert 2:30pm EST to Tokyo time" | ||
| - "What time is 9am in London when it's 3pm in New York?" |
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This is actually a really bad example lol. Might wanna change this to - "What time is it in London when it's 3pm in New York?"
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| **Common Abbreviations:** UTC, GMT, JST, IST, CET, BST, etc. | ||
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| ## File Structure |
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I think the README can be simplified to just the core information
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| ### 2. Creating Tools | ||
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| The tools are defined in `timezone_tools.py` using LangChain's `@tool` decorator: |
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Might be cool to emphasise that we can support most popular frameworks.
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| The agent injects Arthur task metadata into all traces, allowing you to view and analyze the interactions in your Arthur dashboard. | ||
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| ### 4. Injecting Arthur Task Metadata |
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We can remove this step and emphasize setting the task ID in the tracing
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Added the open inference tutorial with a basic timezone agent.