3 Commits

Include renames

Author	SHA1	Message	Date
dongarandClaude Opus 5	cf85648719	Add LLM-backed planning agent (A4/A11/A13) — step 5a ... - planner.py: LLMPlanningAgent offers exactly two tools, submit_plan and ask_human, so gating stays structural at the tool layer; no proceed tool exists. System prompt requires explicit, low-inference plans because a weaker model executes them (A13) - Model output is appended to the canonical log as it arrives, before being interpreted, so a crash mid-planning leaves a truthful transcript - A bad turn (prose instead of a tool call, malformed arguments, or a failed call) retries once, then raises PlanningError; the orchestrator gates to AWAIT_INPUT rather than inventing a plan - Orchestrator: appends every operator message, plan_submitted, and gate_opened to the transcript, so re-planning sees rejection feedback as conversation rather than out-of-band parameters; pins the A11 role mapping at task start - llm.py: non-JSON or non-object tool arguments now raise LLMError instead of escaping as JSONDecodeError — observed from llama3.2, which emits truncated argument strings - Live planning test is opt-in on NISSE_LIVE_PLANNER_MODEL: planning escalates unconditionally (A12) and the local model does not hold the tool-call contract, so it awaits a frontier route Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-09-07 14:47:12 +00:00
dongarandClaude Fable 5	5db6d9d96e	Add MatrixTransport (A1) — step-2 PR B ... - matrix.py: Transport implementation over the Matrix client-server HTTP API directly (token auth, /sync long-poll, /send) using the existing httpx dependency — no Matrix SDK; four endpoints total. Deviation from the presented plan (matrix-nio) flagged in the PR - First sync learns position and skips backlog, so room history is never delivered as context (A1); own messages and non-message events filtered; sender MXID passed through for the orchestrator's operator allowlist - Sync loop backs off (capped at 60s) and retries indefinitely on homeserver errors, mirroring B2's polling posture - Encrypted rooms unsupported: bot rooms are created unencrypted until E2E lands (operator decision; room recreated accordingly) - NISSE_MATRIX_TEST_ROOM_ID added: the live smoke test binds only to the dedicated test room, never the production room - 8 unit tests over a mocked HTTP layer; live integration test verified against the real homeserver Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-09-06 23:52:45 +00:00
dongarandClaude Fable 5	0c2021fced	Add LLM client interface with LiteLLM adapter (A5/A11) ... PR 2 of the steps-3/4 plan. - llm.py: LLMClient protocol — complete(events, tools, model) -> canonical events — present from the first real LLM call. LiteLLMClient renders requests via the A10 renderer, targets the proxy's OpenAI-compatible route, and maps provider tool-call IDs to locally-minted canonical IDs at the boundary - RoleMap (A11): executor/planner/delegate/consultant resolved from env; pinned() returns the mapping to record at task start - Config strictly from env: NISSE_LLM_BASE_URL, NISSE_LLM_TOKEN; envfile.py is a minimal .env loader where real env wins; .env now gitignored with a committed .env.example documenting all variables (Matrix ones included for the upcoming transport PR) - Live smoke test against the proxy is integration-marked and skips without credentials — CI stays credential-free per operator decision; the test runs locally once .env exists - httpx added as nisse-dev's HTTP client Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-09-06 20:57:51 +00:00