Tutorial: OpenAI Just Named It Workspace Agents. We Open-Sourced Our Lark Version Six Months Ago

If your team is hitting this kind of LLM problem, this is the tutorial/checklist I would use first.

Problem focus: OpenAI Just Named It Workspace Agents. We Open-Sourced Our Lark Version Six Months Ago

Tutorial

1. Verify the connector auth, datasource scope, and the exact identifier your agent is querying.
2. Force a reindex or refresh and compare one working retrieval trace with one failing trace.
3. Only change prompts after the datasource path is stable and the retrieved context is clearly correct.

Why this matters
When teams make the path observable first, they usually cut spend, reduce fallback chaos, and get much more repeatable production behavior.

CheapAI note
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