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API Keys

pwnkit’s api runtime (the default) makes direct HTTP calls to an LLM provider. You need to set provider credentials as environment variables.

ProviderEnvironment VariableNotes
ChatGPT CodexPWNKIT_CHATGPT_OAUTH_REFRESH_TOKENUses ChatGPT/Codex subscription auth from codex login. Copy the refresh token from ~/.codex/auth.json.
OpenRouterOPENROUTER_API_KEYRecommended. One key, access to many models (Claude, GPT-4, Llama, Mistral, and more). Includes free-tier models. Get a key at openrouter.ai.
AnthropicANTHROPIC_API_KEYDirect access to Claude models. Get a key at console.anthropic.com.
Azure OpenAIAZURE_OPENAI_API_KEYAzure-hosted OpenAI models. See Azure configuration below for additional settings.
OpenAIOPENAI_API_KEYDirect access to GPT models. Get a key at platform.openai.com.

When multiple provider credentials are set, pwnkit uses this priority:

  1. PWNKIT_CHATGPT_OAUTH_REFRESH_TOKEN (ChatGPT Codex subscription auth)
  2. OPENROUTER_API_KEY
  3. ANTHROPIC_API_KEY
  4. AZURE_OPENAI_API_KEY
  5. OPENAI_API_KEY (lowest priority)

Only one provider credential is needed. If you set multiple, the highest-priority one is used.

Terminal window
# Add to your shell profile (~/.zshrc, ~/.bashrc, etc.)
export OPENROUTER_API_KEY="sk-or-v1-..."

Then reload your shell or run source ~/.zshrc.

For ChatGPT Codex subscription auth, run codex login, then copy tokens.refresh_token from ~/.codex/auth.json:

Terminal window
export PWNKIT_CHATGPT_OAUTH_REFRESH_TOKEN="..."

Add the key as a repository secret, then reference it in your workflow:

- uses: 0sec-labs/pwnkit@main
with:
mode: review
path: .
env:
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}

OpenRouter acts as a unified gateway to many LLM providers. Benefits:

  • One key, many models — access Claude, GPT-4, Llama, Mistral, and others
  • Free-tier models available — useful for testing and CI
  • Automatic fallback — if one provider is down, OpenRouter can route to another
  • Usage dashboard — track costs across all models in one place

Azure OpenAI is stricter than the other providers. The API key alone is not enough. pwnkit needs:

  • an Azure base URL
  • an Azure deployment/model name

You can provide those explicitly via env vars, or let pwnkit reuse them from ~/.codex/config.toml when Codex is already configured against Azure.

VariableRequiredDescription
AZURE_OPENAI_API_KEYYesYour Azure OpenAI API key
AZURE_OPENAI_BASE_URLYes, unless pwnkit can read it from Codex configBase URL for your Azure deployment. For the Responses API this should include /openai/v1.
AZURE_OPENAI_MODELYes, unless pwnkit can read it from Codex configAzure deployment/model name (not just a generic model family string)
AZURE_OPENAI_WIRE_APINoWire API format: chat_completions (default) or responses
Terminal window
export AZURE_OPENAI_API_KEY="your-azure-key"
export AZURE_OPENAI_BASE_URL="https://your-resource.openai.azure.com/openai/v1"
export AZURE_OPENAI_MODEL="gpt-4o"
export AZURE_OPENAI_WIRE_API="responses"

If you rely on Codex config instead of env vars, make sure ~/.codex/config.toml points at Azure and contains a usable Azure base URL plus model/deployment. If the selected Azure runtime is incomplete, pwnkit stops immediately with a configuration error instead of silently falling through to a broken scan.

If you prefer not to use API keys at all, you can use CLI runtimes for supported workflows. Claude can run live target scans through its native subscription loop. Codex and Gemini are source-review oriented CLI runtimes:

Terminal window
# Use Claude Code CLI (requires Claude subscription)
pwnkit scan --target https://api.example.com/chat --runtime claude
# Use Codex CLI for source review
pwnkit review ./my-repo --runtime codex
# Use Gemini CLI
pwnkit review ./my-repo --runtime gemini

No API key environment variable is needed for source-review CLI runtimes because authentication is handled by the respective CLI tool. Codex live target scans use the direct ChatGPT Codex provider, so they require PWNKIT_CHATGPT_OAUTH_REFRESH_TOKEN rather than the Codex CLI wrapper.