Unverified50% confidenceSolutionExact time
The trajectory produced by each Agent run (including user input, model responses, tool-call parameters and returned results) can be stored in a standardized format (such as JSON Lines or Parquet) with metadata attached, so that it can be used to build evaluation sets, fine-tuning datasets or regression test benchmarks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
Related Entities
Related Claims
UnverifiedCommon means of mitigating Agent hallucinations include having the model output structured formats (such as JSON or numbered checklists), setting up human confirmation at key nodes, performing consistency checks on tool call results, and constraining output style with few-shot examples.75% similarUnverifiedIn Evals, evaluation cases define the expected tool call sequence in JSON files, describing the behavior the Agent should exhibit.75% similarUnverifiedThe industry is exploring dedicated observability solutions for Agents, including tracing prompts and outputs of LLM calls, recording tool-call input parameters and return values, and drawing dependency topology graphs among Agents.73% similarVerifiedAgents use the Tool Calling mechanism to allow models to output calling intent in a structured JSON format, with external programs executing the actual operations and feeding results back to the model.73% similarUnverifiedIn Dify, Agent mode allows a toolset to be mounted for the model, and the model selects tools and passes in parameters through the function calling mechanism.73% similar
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