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/promptfoo-provider-setup

Configure promptfoo providers or redteam targets for hosted models, live HTTP APIs, Python/JavaScript local scripts, agent SDKs, or multi-input systems. Use when connecting promptfoo to the system under test, mapping vars, auth env vars, request bodies, response transforms, or

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promptfoo
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Install
$ npx -y skills add promptfoo/promptfoo --skill promptfoo-provider-setup --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/promptfoo-provider-setup

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Configure promptfoo providers or redteam targets for hosted models, live HTTP APIs, Python/JavaScript local scripts, agent SDKs, or multi-input systems. Use when connecting promptfoo to the system under test, mapping vars, auth env vars, request bodies, response transforms, or

SKILL.md

promptfoo-provider-setup.SKILL.md
name: promptfoo-provider-setup
description: >
  Configure promptfoo providers or redteam targets for hosted models, live HTTP
  APIs, Python/JavaScript local scripts, agent SDKs, or multi-input systems. Use
  when connecting promptfoo to the system under test, mapping vars, auth env
  vars, request bodies, response transforms, or static-code-derived provider
  wrappers. Do not use for choosing eval assertions or red team plugins unless a
  smoke test is needed to verify the connection.

Promptfoo Provider Setup

Connect Promptfoo to the system under test with the smallest reliable provider or target configuration. Prefer a working smoke test over a clever abstraction.

Read `references/provider-patterns.md` when you need concrete YAML or provider wrapper examples. For OpenAPI specs, you can run the bundled `scripts/openapi-operation-to-config.mjs` to draft a one-operation HTTP smoke config, then inspect and edit the result before probing. The script ships in this skill's `scripts/` directory; when the skill is installed as a plugin it lives in the plugin cache, not your project, so run it by its absolute path (or copy it in) rather than a bare `scripts/...` path. With `--token-env`, it infers Bearer/OAuth2/OpenID and header/query/cookie API-key auth; use `--auth-header`/`--auth-prefix` to override.

Inputs

Infer from the repo or user prompt when possible:

  • Target surface: hosted model, live HTTP endpoint, local function/script, agent

harness, MCP/tool agent, or redteam target.

  • Invocation shape: method, URL/path, headers, request body, input vars, auth,

streaming/statefulness, and expected response field.

  • Safety boundary: whether it is okay to call the live endpoint and which sample

payload is safe.

  • Output goal: eval provider block, redteam `targets` block, local provider

wrapper, or a minimal smoke-test suite.

If the contract is unclear, create a conservative TODO-marked starter and state exactly what must be verified before using it against production.

Workflow

1. Pick discovery mode

Use one of these modes, or combine them:

  • **Live HTTP endpoint**: probe an already-running endpoint with safe requests.
  • **Static code discovery**: inspect route handlers, OpenAPI specs, tests, SDK

clients, or existing fetch/axios calls.

  • **Hybrid**: compare static contract assumptions with a live probe.
  • **Wrapper mode**: write `provider.js` or `provider.py` when built-in providers

cannot express auth, signing, streaming, multi-step calls, or custom parsing.

Do not send secrets to unknown endpoints. Use `{{env.VAR}}` placeholders in configs and local environment variables only in shell commands.

2. Discover the contract

For live HTTP endpoints:

1. Start with non-mutating checks: docs URL, OpenAPI URL, health endpoint, `OPTIONS`, or a safe `GET`. 2. Make at most one safe representative call before writing config. 3. Capture the response shape and status/error behavior. 4. Prefer explicit JSON paths in `transformResponse`, such as `json.output`. 5. Use `queryParams` for query-string fields on any HTTP method, and use the `text` variable in `transformResponse` for plain-text responses. 6. Set `stateful: false` for stateless endpoints; otherwise `validate target` will run a session-memory check. For stateful apps, include `{{sessionId}}` in the request or configure server-side session parsing.

For static code discovery:

1. Search for route definitions, tests, and clients with `rg`. 2. Identify method, path, required headers, request schema, response schema, and authentication source. 3. If the app constructs prompts dynamically, wrap the real code instead of duplicating business logic in YAML. 4. For agents/tools, identify whether Promptfoo should send one string input or a structured object with named fields.

3. Choose the provider pattern

  • Use `id: https` for straightforward JSON HTTP APIs.
  • Use `file://provider.js` or `file://provider.py` for custom auth, request

signing, streaming, retries, multi-step setup, local code, Python agent SDKs, or complex parsing.

  • Use native model providers for direct model comparisons.
  • Use `targets` with `inputs` for redteam multi-input systems. Do not invent a

single `prompt` field when the real app accepts named inputs.

4. Implement the minimal smoke test

Add or update a config with:

  • `# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json`
  • A short `description`
  • Provider or `targets` config with `{{env.VAR}}` for secrets
  • One or two smoke tests that verify the request reaches the target and the

response transform extracts the right field

  • `--no-cache` run commands

When writing a local wrapper, return `{ output }` and include structured errors when the target response is malformed. JavaScript providers receive config in constructor `options.config` and expose `callApi(prompt, context)`; read named inputs from `context.vars`. Python providers use `file://provider.py` or `file://provider.py:function_name`; the function takes `(prompt, options, context)` and reads named inputs from `context.get("vars", {})`. Set `config.workers: 1` for non-thread-safe SDKs, `config.timeout` for slow calls, and `config.pythonExecutable`/`PROMPTFOO_PYTHON` for venvs. Add harmless defaults because `validate target` may call providers without test-case vars.

5. Validate and run

From the promptfoo repo, use the local build:

npm run local -- validate config -c path/to/promptfooconfig.yaml
npm run local -- validate target -c path/to/promptfooconfig.yaml
npm run local -- eval -c path/to/promptfooconfig.yaml -o output.json --no-cache --no-share

Outside the promptfoo repo, use:

npx promptfoo@latest validate config -c path/to/promptfooconfig.yaml
npx promptfoo@latest validate target -c path/to/promptfooconfig.yaml
npx promptfoo@latest eval -c path/to/promptfooconfig.yaml -o output.json --no-cache --no-share

Inspect the output file for `result

Read more
Ships withpromptfoo

promptfoo is a CLI and library for evaluating and red-teaming LLM apps. Stop the trial-and-error approach - start shipping secure, reliable AI apps. Website · Getting Started · Red Teaming · Documentation · Discord Promptfoo is now part of OpenAI.

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Repo: promptfoo/promptfoo

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