schema_version: 3 provider: fai name: llm-chat version: 0.1.0 # Capability provided by this module. provides: - capability: llm.chat version: 0.1.0 # Declared inputs in verbose v3 form. Studio renders the # description in the active locale as a tooltip on each # port; the editor falls back to the English description # when no peer is configured. inputs: prompt: type: text description: en: The user-facing prompt text the model should respond to. de: Der vom Modell zu beantwortende Prompt-Text. endpoint: type: text description: en: | Ollama-shaped /api/chat endpoint, e.g. "http://localhost:11434/api/chat". de: | Ollama-kompatibler /api/chat-Endpunkt, z. B. "http://localhost:11434/api/chat". model: type: text description: en: Model identifier as registered with the endpoint, e.g. "qwen2.5:14b" or "llama3.1:8b". de: Modell-Identifier wie beim Endpunkt registriert, z. B. "qwen2.5:14b" oder "llama3.1:8b". api_key: type: text description: en: | Optional bearer token for cloud-hosted endpoints. Empty string means no Authorization header is sent. de: | Optionaler Bearer-Token für Cloud-Endpunkte. Leer = kein Authorization-Header gesendet. system_prompt: type: text description: en: | Optional system prompt. Empty string omits the system message and lets the model use its built-in default. de: | Optionaler System-Prompt. Leer = das Modell verwendet seinen eingebauten Default. # Outputs produced. outputs: response: type: text description: en: The assistant's plain-text reply. de: Die Klartext-Antwort des Modells. model_endpoint: type: text description: en: The endpoint the response was generated against. Used for audit correlation. de: Der Endpunkt, gegen den die Antwort erzeugt wurde — für Audit-Korrelation. model_name: type: text description: en: The model identifier as supplied to the LLM API. de: Der an die LLM-API übergebene Modell-Identifier. model_digest: type: text description: en: | SHA-256 digest of the served Ollama model, when reachable. Empty for non-Ollama endpoints (OpenAI / Anthropic do not expose a digest API). Together with model_endpoint and model_name this answers the audit question "which exact model produced this response?" de: | SHA-256-Digest des bedienten Ollama-Modells, wenn erreichbar. Leer für Nicht-Ollama-Endpunkte (OpenAI / Anthropic stellen keine Digest-API bereit). Zusammen mit model_endpoint und model_name beantwortet das die Audit-Frage "welches genaue Modell hat diese Antwort erzeugt?" # Permissions required. # # The module makes outbound HTTP to the configured endpoint. # Default declarations cover loopback (Ollama) and the common # cloud providers. Operators with different endpoints fork # module.yaml in Phase 0.5; operator-config-driven permission # overrides arrive in Phase 1+. permissions: - "net: localhost" - "net: 127.0.0.1" - "net: api.openai.com" - "net: api.anthropic.com"