JSON-Schema masks can block needed tool calls
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Grammar‑based token masks can silently block the very function calls an LLM agent must emit. A lightweight two‑pass inference hack sidesteps the problem without retraining the model. Before this work, engineers routinely combined JSON‑Schema output constraints with tool‑calling APIs, assuming the two constraints coexist harmlessly. Existing agents simply turned on the schema validator and let the model decide when to invoke a tool. The suppression stems from the way schemas are enforced: “JSON…
1Key Takeaways
- Grammar‑based token masks can silently block the very function calls an LLM agent must emit.
- A lightweight two‑pass inference hack sidesteps the problem without retraining the model.
- Before this work, engineers routinely combined JSON‑Schema output constraints with tool‑calling APIs, assuming the two constraints coexist harmlessly.
- Existing agents simply turned on the schema validator and let the model decide when to invoke a tool.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that grammar‑based token masks can silently block the very function calls an LLM agent must emit.
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