flemming-it
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Generic Ollama-compatible LLM chat adapter. The lower-level
counterpart to orchestrator-llm: orchestrator-llm wraps the LLM
in a planning prompt that emits a structured F∆I Plan; this
module is the plain-prompt adapter that flows compose for
summarisation, translation, free-form Q&A, etc.
Capability surface:
Inputs:
prompt : text
endpoint : text (Ollama /api/chat URL)
model : text
api_key : text (optional bearer token)
system_prompt : text (optional)
Outputs:
response : text (assistant reply)
model_endpoint : text (audit correlation)
model_name : text (audit correlation)
model_digest : text (Ollama /api/show probe; empty
for non-Ollama or transient failures)
Permissions: net to localhost / 127.0.0.1 / api.openai.com /
api.anthropic.com.
The audit-field trio (endpoint + name + digest) closes the same
forensic gap that orchestrator-llm v0.3.1 closed for plan
generation: any historical chat invocation can be traced to the
exact model that produced it.
Implementation reuses the same defensive Ollama client pattern
from orchestrator-llm — derive_show_url + extract_show_digest
+ best-effort probe_model_digest. Duplication accepted at the
two-module mark; a shared crate refactor lands once a third
module needs the same plumbing.
12 host-side tests cover prompt building, Ollama-shaped
response parsing, URL transform, digest extraction (top-level
+ nested), end-to-end success, end-to-end probe-failure
swallow, end-to-end skip-for-non-Ollama, and the missing-input
guards.
Wasm artifact: 294 KB. Verified to build with v1.0 fai:platform
imports baked in.
Bootstrapped via 'fai new module llm.chat' (workspace v0.10.13)
which now produces an SDK-based template directly.
Signed-off-by: flemming-it <sf@flemming.it>
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| lib.rs | ||
| llm.rs | ||