name: "language-detect-cli"
type: pipeline

config:
  input:
    stdin:
      codec: all
      max_buffer: 102400

  pipeline:
    processors:
      - mapping: |
          meta trace_id = uuid_v4()
          root.messages = [
            {"role": "system", "content": "You are a language detection expert. Respond with ONLY a JSON object containing: language (full name), code (ISO 639-1), confidence (0-1). Example: {\"language\": \"English\", \"code\": \"en\", \"confidence\": 0.95}"},
            {"role": "user", "content": "Detect the language of this text:\n\n" + content()}
          ]

      - openai_chat_completion:
          api_key: "${OPENAI_API_KEY}"
          model: gpt-4o-mini

      - mapping: |
          let response = this.choices.0.message.content.parse_json().catch({})
          root.language = $response.language.or("Unknown")
          root.code = $response.code.or("xx")
          root.confidence = $response.confidence.or(0)
          root.metadata = {"skill": "language-detect", "mode": "cli", "trace_id": meta("trace_id"), "timestamp": now()}

  output:
    stdout:
      codec: json_object