slug: pipecat-ai
provider: Pipecat
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Telecommunications
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 2
edges:
- tag: Builds
  spec_file: pipecat-ai-builds-api-openapi.yml
  capability_id: BC-4210.10
  capability_id_l1: BC-4210
  capability_name: Continuous Integration Management
  confidence: 0.75
  evidence: POST /builds createBuild Create a new build.; GET /builds/{id}/logs Get build logs.; GET /builds/upload-url
    Get a pre-signed URL for uploading build context.
  reason: Operations create builds from uploaded build context and expose build status and logs — build-pipeline
    and artefact production, i.e. continuous integration. Some residual ambiguity with deployment orchestration
    keeps this below 0.8.
- tag: Secrets
  spec_file: pipecat-ai-secrets-api-openapi.yml
  capability_id: BC-4210.60
  capability_id_l1: BC-4210
  capability_name: Configuration & Secrets Management
  confidence: 0.7
  evidence: POST /secrets createSecret Create or update a secret set.; DELETE /secrets/{name}/{key} Delete
    a specific secret from a set.
  reason: Lifecycle management of secret sets consumed at runtime by deployed agents maps to configuration
    and secrets management. Held at 0.7 because an identity/credential-management reading is possible
    and the spec gives no detail on consumption.