flemming-it
a9b315a1a0
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Plans this module emits typically dispatch llm.chat steps for downstream LLM-driven work. A flow that runs an unmodified plan needs an llm.chat provider installed; the hub now surfaces this as a 'consumes-advisory' warning at install time so operators see the dependency hint without the install being blocked. See fai/platform commit e5ba892 for the platform-side consumes: schema. Signed-off-by: flemming-it <sf@flemming.it>
68 lines
2.5 KiB
YAML
68 lines
2.5 KiB
YAML
schema_version: 2
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provider: fai
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name: orchestrator-llm
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version: 0.3.1
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# Capability provided by this module.
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provides:
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- capability: orchestrator.plan
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version: 0.3.0
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# Capabilities the plans this module emits typically reference.
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# Advisory only — Studio surfaces "you'll also want X" when the
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# operator installs orchestrator-llm; `fai admin doctor` flags
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# unmet entries; the hub does NOT block install. See
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# docs/architecture/store.md → "Module dependencies".
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consumes:
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- capability: llm.chat
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version: "^0"
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why: "orchestrator-emitted plans dispatch llm.chat steps for downstream LLM-driven work; a flow that runs the plan unmodified needs an llm.chat provider installed."
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# Inputs the invoke function accepts.
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inputs:
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goal: text
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# LLM HTTP endpoint, e.g. "http://localhost:11434/api/chat"
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# for Ollama, "https://api.openai.com/v1/chat/completions",
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# or "https://api.anthropic.com/v1/messages".
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llm_endpoint: text
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# Model identifier, e.g. "qwen2.5:14b" for Ollama or "gpt-4o-mini".
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llm_model: text
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# Optional bearer token for cloud providers. Empty string means
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# no Authorization header is sent.
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llm_api_key: text
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# Optional JSON-encoded list of installed capabilities. If
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# omitted or empty, the module plans without capability context.
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available_capabilities: text
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# Optional JSON-encoded list of all known store capabilities
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# (installed + planned + alpha). Used when the orchestrator
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# needs to suggest installations.
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store_capabilities: text
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# Outputs produced.
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outputs:
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# JSON-encoded Plan compatible with `fai_hub::plan::Plan`.
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plan: json
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# The endpoint the plan was generated against. Empty when the
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# deterministic stub path (no llm_endpoint) ran.
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model_endpoint: text
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# The model name as supplied to the LLM API.
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model_name: text
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# SHA-256 digest of the served Ollama model, when reachable.
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# Empty for cloud providers (OpenAI / Anthropic do not expose
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# a digest API) and for the deterministic stub path. Together
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# with model_endpoint and model_name this answers the audit
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# question "which exact model produced this plan?"
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model_digest: text
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# Permissions required.
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#
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# The module makes outbound HTTP to the configured LLM endpoint.
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# Default declarations cover the common providers (cloud OpenAI,
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# Anthropic, local Ollama on loopback). Operators with different
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# LLM endpoints add a host-level entry via operator config
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# (Phase 1+) — for Phase 0.5 they fork module.yaml.
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permissions:
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- "net: api.openai.com"
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- "net: api.anthropic.com"
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- "net: localhost"
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- "net: 127.0.0.1"
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