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Report Generation Agent: Adding Trajectory Evaluation #27

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lotif merged 8 commits into from
Feb 2, 2026
Merged

Report Generation Agent: Adding Trajectory Evaluation #27

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8097069
Squashed commit of the following:
lotif Jan 29, 2026
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Adding trajectory evaluator and data + minor refactorings
lotif Jan 30, 2026
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Finishing up the dataset
lotif Jan 30, 2026
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small adjustments
lotif Jan 30, 2026
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Squashed commit of the following:
lotif Jan 30, 2026
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Minor changes
lotif Jan 30, 2026
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Merge branch 'main' into marcelo/trajectory-eval
lotif Feb 2, 2026
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lotif Feb 2, 2026
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6 changes: 3 additions & 3 deletions implementations/report_generation/README.md
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Expand Up @@ -92,9 +92,9 @@ uv run --env-file .env python -m implementations.report_generation.evaluate --da
```

This script will run the Report Generation Agent against each element of the dataset
and then use an LLM-as-a-judge Evaluator Agent to evaluate each result. The evaluator
will check the data generated to produce the report against the ground truth and
produce a True/False score along with a reasoning.
and then use LLM-as-a-judge Evaluator Agents to evaluate each result. The evaluator
will check the data generated to produce the report and also the trajectory the
agent used against the ground truth and produce True/False scores along with a reasoning.

At the end of the run, an evaluation report will be displayed along with a link
to check details about the evaluation in Langfuse.
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