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kami 238d353653 feat(qa): remote NIM provider + headless-QA robustness

Enable autonomous QA through a remote OpenAI-compatible provider (NVIDIA NIM)
and harden the tool/approval path so unattended multi-stage runs complete.

- inference: add openai_compat provider (Bearer chat-completions for NIM/OpenAI),
  dispatched by provider type "nim"/"openai"; key via api_key/api_key_env.
- server: bind configured [server] host/port instead of a hardcoded 8080;
  POST /sessions accepts an optional `intent` (WS parity) for intent-driven workflows.
- kernel: thread the bound operator profile's approval_mode into per-tool gating so
  auto/yolo enable unattended approval (engine still consulted; policy/plane-2 BLOCK
  stays terminal); on a recoverable tool failure feed the tool's arg-schema back into
  context so the model self-corrects instead of repeating a malformed call.
- tools: split deletion out of file_write into a separate, explicitly-named file_delete
  tool — a model can no longer delete a file by getting a write-mode parameter wrong.
- server: add GET /metrics/tool-reliability — per-model tool-call validity from the
  event log (measurement groundwork for capability-aware routing).
- docs: update AGENTS.md across kernel, tools, server, inference.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

2026-06-29 10:50:16 +00:00

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infrastructure/inference/

Purpose

Inference adapter layer. The root module provides DefaultProviderRegistry (registers InferenceProvider instances) and FirstAvailableRoutingStrategy. Submodules cover shared HTTP client infrastructure (commons/), the llama.cpp server adapter (llama_cpp/), and the remote OpenAI-compatible adapter (openai_compat/, e.g. NVIDIA NIM).

Ownership

Adapter for LLM inference backends. Implements core:inference interfaces. No dependency on other infrastructure:* modules.

Local Contracts

DefaultProviderRegistry implements ProviderRegistry from core:inference.
FirstAvailableRoutingStrategy is the default routing policy; extend only in core:inference, not here.
All LLM responses are proposals — they must be validated by the core before affecting state (invariant #7). Adapters return raw responses; they do not validate.
Network calls to inference backends are environment observations; results must be recorded as events by callers if replay must reproduce them (invariant #9).
Model lifecycle (spawn/own the llama-server process) lives in llama_cpp/; the autonomous scheduler is intentionally unbuilt (see root CLAUDE.md).
openai_compat/ is fully remote (no local process/GPU). It speaks POST {baseUrl}/chat/completions with Authorization: Bearer; baseUrl must include the version segment (e.g. /v1). It has no /tokenize, so it uses a heuristic tokenizer, and no GBNF — JSON artifacts rely on the core's validate-after-retry. Server dispatch keys [[providers]] type = "nim" | "openai"; the key comes from api_key or api_key_env.

Work Guidance

Standard adapter rules apply (see parent AGENTS.md). HTTP client code uses Ktor CIO; blocking I/O in withContext(Dispatchers.IO).

Verification

./gradlew :infrastructure:inference:test --rerun-tasks
./gradlew :infrastructure:inference:commons:test --rerun-tasks
./gradlew :infrastructure:inference:llama_cpp:test --rerun-tasks
./gradlew :infrastructure:inference:openai_compat:test --rerun-tasks

Child DOX Index

commons/ — shared ManagedInferenceProvider, ModelManager, ResourceProbe (Nvidia/AMD), ResidencyMode; no separate AGENTS.md (sub-leaf, covered by this doc)
llama_cpp/ — LlamaCppInferenceProvider, LlamaProcess (spawns/owns llama-server), LlamaCppEmbedder, LlamaCppTokenizer, GbnfGrammarConverter; no separate AGENTS.md (sub-leaf, covered by this doc)
openai_compat/ — OpenAiCompatInferenceProvider (remote Bearer-auth chat completions for NVIDIA NIM/OpenAI), HeuristicTokenizer, OpenAiApiModels; no separate AGENTS.md (sub-leaf, covered by this doc)

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