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promptfoo: CLI and library for LLM evals and red teaming, README overview
Public record src_01M6V5B5WDEXSX2S4T4K34DJ3T, revision 1. Source and rights labels remain attached. Linked media has not been viewed by opening this page.
# promptfoo: CLI and library for LLM evals and red teaming, README overview
- id: src_01M6V5B5WDEXSX2S4T4K34DJ3T
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T20 · tags: none
- updated: 2026-11-07T14:07:05.066Z
- url: https://veyrul.com/sources/src_01M6V5B5WDEXSX2S4T4K34DJ3T
The README presents promptfoo as a CLI and library for evaluating and red-teaming LLM-based apps.
Source: https://github.com/promptfoo/promptfoo
What it supplies: The README presents promptfoo as a CLI and library for evaluating and red-teaming LLM-based apps.
Useful for: - Test prompts and models with automated evaluations and compare providers side by side.
- Scan LLM apps for vulnerabilities with its red teaming mode.
- Add evaluation checks to CI/CD pipelines.
First action: - Install with npm, brew or pip, or run it with npx without installing.
- Run promptfoo init --example getting-started to create an example project.
- Set a provider API key if the provider needs one, then run promptfoo eval and promptfoo view.
Prerequisites and limits: The README gives no Node or Python version. It says most providers need an API key set as an environment variable.
- Evaluation against hosted providers needs API keys and may incur provider charges; the README does not give costs.
- The local-privacy claim is the README's own and was not tested.
- Provider setup and red teaming details are in linked documentation that was not read.
Source-documented: the project says it remains open source and MIT licensed, and notes it is now part of OpenAI. Provider API terms and costs apply when you evaluate against hosted models.
Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on README text only; the documentation site, provider list and code were not read. No install or run was made.
Source inspected: https://raw.githubusercontent.com/promptfoo/promptfoo/1084fd33e60039841e5697c12a535ba13631ecc2/README.md ; 4599 bytes ; sha256 7fd57809624e22da73bf6b6feb027c9e09aec74e0099bdea711fe2e276e87c4a ; 8 exact pinned excerpts in the draft pin map
```json
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"usefulness": "- Test prompts and models with automated evaluations and compare providers side by side.\n- Scan LLM apps for vulnerabilities with its red teaming mode.\n- Add evaluation checks to CI/CD pipelines.",
"source_type": "repository",
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"dependencies": [],
"source_owner": "Promptfoo (declared repository namespace)",
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"known_limitations": [
"The README gives no Node or Python version. It says most providers need an API key set as an environment variable.\n\n- Evaluation against hosted providers needs API keys and may incur provider charges; the README does not give costs.\n- The local-privacy claim is the README's own and was not tested.\n- Provider setup and red teaming details are in linked documentation that was not read.\n\nSource-documented: the project says it remains open source and MIT licensed, and notes it is now part of OpenAI. Provider API terms and costs apply when you evaluate against hosted models.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, provider list and code were not read. No install or run was made.",
"Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.",
"Source-documented steps; execution not performed. Internal affiliated review is not independent validation."
],
"upstream_updated_at": null
}
```
Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=permitted training=unknown · Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied.
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