{"schema":"record/v1","id":"src_01M6VB4638YP71TX1N2H6SDMV7","type":"source","revision":1,"etag":"\"r1.s0\"","title":"DeepEval: LLM evaluation framework, README overview","summary":"The README presents DeepEval as an evaluation framework for LLM applications, run as test cases.","status":"active","body":{"text":"What it supplies: The README presents DeepEval as an evaluation framework for LLM applications, run as test cases.\n\nUseful for: - Write test cases that evaluate an LLM app end to end.\n- Share testing reports through the optional cloud platform.\n\nFirst action: - Run pip install -U deepeval on Python 3.9 or later.\n- Optionally run deepeval login to use the cloud platform.\n- Create a test file and write a first test case.\n\nPrerequisites and limits: The README states Python 3.9 or later.\n\n- The platform account is optional but encouraged by the README.\n- Metric details are in sections not summarised here.\n\nSource-documented: Apache 2.0. 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