Report

Generate an AI-powered analysis report of your Salesforce repository. Supports environment variables for CI/CD: ANTHROPIC_API_KEY (Anthropic), OPENAI_API_KEY (OpenAI), GOOGLE_API_KEY (Google), AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY (Bedrock)

sfp report

Generate an AI-powered analysis report of your Salesforce repository. Supports environment variables for CI/CD: ANTHROPIC_API_KEY (Anthropic), OPENAI_API_KEY (OpenAI), GOOGLE_API_KEY (Google), AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY (Bedrock)

USAGE
  $ sfp report [--json] [--repository <value>] [-e <value>] [-t <value>] [--sfp-server-url <value>]
    [--output <value>] [-p <value>... | -d <value>] [--provider
    anthropic|openai|amazon-bedrock|github-copilot|google-vertex-anthropic|cloudflare-ai-gateway] [--model <value>]
    [--prompt-count <value>] [--loglevel trace|debug|info|warn|error|fatal|TRACE|DEBUG|INFO|WARN|ERROR|FATAL]

FLAGS
  -d, --domain=<value>             The domain to analyse
  -e, --email=<value>              Email address for authenticated user. Ignored if --application-token is provided. Can
                                   be set via SFP_SERVER_USER env var.
  -p, --package=<value>...         The name of the package to analyse
  -t, --application-token=<value>  Application token for CI/CD authentication. Can be set via SFP_SERVER_TOKEN env var
                                   (CLI flags take precedence over env vars).
      --loglevel=<option>          [default: info] logging level for this command invocation
                                   <options: trace|debug|info|warn|error|fatal|TRACE|DEBUG|INFO|WARN|ERROR|FATAL>
      --model=<value>              Model ID to use (provider-specific). When omitted, the model configured on the AI
                                   integration is used, falling back to the provider's newest approved model.
      --output=<value>             [default: analysis-report.md] Output markdown file path
      --prompt-count=<value>       Number of prompts to run (useful for testing)
      --provider=<option>          AI provider to use. When omitted, the server-configured AI integration is used
                                   (local-only runs fall back to anthropic).
                                   <options: anthropic|openai|amazon-bedrock|github-copilot|google-vertex-anthropic|clou
                                   dflare-ai-gateway>
      --repository=<value>         The repository identifier. E.g `owner/repo` for GitHub/GitLab or `org/project/repo`
                                   for Azure DevOps
      --sfp-server-url=<value>     URL of the SFP server. Can be set via SFP_SERVER_URL env var or config: sfp
                                   config:set server-url

GLOBAL FLAGS
  --json  Format output as json.

DESCRIPTION
  Generate an AI-powered analysis report of your Salesforce repository. Supports environment variables for CI/CD:
  ANTHROPIC_API_KEY (Anthropic), OPENAI_API_KEY (OpenAI), GOOGLE_API_KEY (Google),
  AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY (Bedrock)

ALIASES
  $ sfp project ai-report
  $ sfp project report

EXAMPLES
  $ sfp project:report

  $ sfp project:report --output analysis-report.md

  $ sfp project:report --package feature-management

  $ sfp project:report --package salespkg --package unpackaged

  $ sfp project:report --domain sales

  $ sfp project:report --provider anthropic --model claude-sonnet-5

  $ sfp project:report --provider github-copilot

  $ sfp project:report --output reports/audit-$(date +%Y%m%d).md

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