- Updated the evaluation runner to support live dialogue printing and transcript saving in both Markdown and JSON formats. - Introduced new data classes for managing transcripts and their components, improving structure and readability. - Modified existing YAML case files to align with the new direct client mode and updated stage codes. - Added new test cases for the direct client mode, ensuring comprehensive coverage of user interactions.
75 lines
1.6 KiB
Markdown
75 lines
1.6 KiB
Markdown
# Workflow evaluations
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The evaluation runner calls a live FastAPI service backed by FastGPT. For now,
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each conversation step checks only the SSE `stage_code.nextStageCode` value.
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During the run it also prints the live dialogue and saves transcripts.
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## Case format
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Add YAML files anywhere under `evals/cases/`:
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```yaml
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name: direct_initial_stage
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clientMode: direct
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steps:
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- input: 新对话
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expect:
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stageCode: "1001"
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- input: 继续办理
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expect:
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stageCode: "1002"
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```
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`clientMode` in the case file is the API request setting (`direct` or
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`browser_addon`). Steps in one file share the same generated `sessionId`.
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Different cases always use different session IDs.
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## Run
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Start the API, then execute:
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```bash
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python evals/run.py
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```
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Use another API address:
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```bash
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python evals/run.py --base-url http://192.168.1.10:8000
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```
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Run selected cases:
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```bash
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python evals/run.py --case direct
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python evals/run.py --case browser_addon
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```
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## Dialogue and transcripts
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While a case runs, each step prints the user input, bot reply (`text_delta`),
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and stage-code check result.
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By default, after the run finishes, transcripts are written under
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`evals/results/<timestamp>/`:
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- `*.md` — readable conversation log
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- `*.json` — structured step results
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Save to a specific directory:
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```bash
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python evals/run.py --output-dir evals/results/manual-run --case direct
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```
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Print live dialogue only, without writing files:
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```bash
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python evals/run.py --no-save --case direct
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```
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The process exits with code `1` when an expectation fails and code `2` when
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case configuration is invalid.
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