rune/docs/pipeline-removal.md

Pipeline Removal — the per-turn cognitive pipeline is gone (P0-04, #20)

Status: shipped on p0-04-pipeline-removal. Frozen contract: tests/test_p0_04_pipeline_removal.py. Canary: src/rune/canary_p0_04.py (registered in .gitea/workflows/ci.yml).

What ran per turn BEFORE

Every ordinary user message (on_input_submitted) spawned a warm-router thread and a pre-dispatch parallel block — a timer firing simulated consciousness:

Pre-dispatch parallel block (display-only, per message):

1. auto_context.build_auto_context(text)
2. auto_tasks.extract_tasks(text, channel)
3. behavior.match_context(text)

_run_warm_router — the 21-step pipeline (~390 lines, ~120 ms per message, measured on hello world performance baseline):

#	Step	Call
1	Warm router	warm_router.route(text)
2	Capability broker	capability_broker.match_capabilities(query, top_k=3)
3	Memory recall	memory_store.cached_recall(db, query, budget=3)
4	Witness	witness.detect_signals(message=text)
5	Cache check	cache.get_cache("response:...")
6	Persona	prompt_sync.get_defining_principles()
7	Abstraction facts	abstraction.connect() + SQL LIKE scan
8	Graph memory	graph_memory.connect() + entity resolve
9	Context pressure	context_pressure.measure_pressure(recent)
10	Event emit	event_bus.emit("on_context", ...)
11	Drift check	drift_ledger.check(strict=False, autofix=False)
12	Goals	task_persist.load()
13	Time awareness	time_awareness.get_time_context()
14	Neuron count	warm_neuron_store.get_stats()
15	Hooks	hook_engine.fire("pre_message", ...)
16	Voice blend	voice_hybrid.get_blend_info()
17	Sleep consolidation	sleep_time.consolidate() (silently broken — the attribute never existed, swallowed by except: pass)
18	Repo map	tool_executor.execute_tool("repo_map", ...)
19	Auto-read	tool_executor.execute_tool("read_file", ...)
20	Auto-search	tool_executor.execute_tool("grep_files", ...)
21	Memory filter	re-filter of _ambient_memory_results

Model-relevant output of all of it: zero (a dim display-only status line), while carrying live side effects: neuron state mutation, hook firing, sleep-consolidation attempts, per-turn event spam, and 17 record_failure observability calls in rune_tui.py alone.

What runs NOW

• One path per message: on_input_submitted → _send_to_model → rune_operator.send_task → ContextBroker assembles all model-facing context (#19). Nothing else runs per turn.
• Session-scoped startup checks stay (_startup_check at mount: compile_persona, scan_registry, load_tasks — never per-turn).
• _run_warm_router survives as a documented no-op (compat shim); the docstring points here. _warm_router_thread and the pre-dispatch parallel block are deleted outright.
• Measured overhead: ~120 ms → ~0 ms per message (no-op return).

Capability table — where everything lives on

Nothing was deleted. Every former pipeline capability is reachable on demand:

Capability	On demand via	Module
Warm router / neuron priming	/neurons, direct call	warm_router.py
Capability broker (legacy matcher)	direct call	capability_broker.py
Memory recall	broker memory contributors, /memory	memory_store.py
Witness signals	direct call	witness.py
Response cache	direct call	cache.py
Persona	/persona, startup check	prompt_sync.py
Abstraction	/abstraction	abstraction.py
Graph memory	/graph	graph_memory.py
Context pressure	/pressure	context_pressure.py
Event journal	/events	event_bus.py
Drift check	/drift	drift_ledger.py
Goals	/goal	goal.py, task_persist.py
Time awareness	/time, /night	time_awareness.py, night_mode.py
Neurons	/neurons	warm_neuron_store.py
Hooks	/hooks (pre/post message fire kept around the operator call)	hook_engine.py
Voice	/voice, /voice_sync	voice_hybrid.py, voice_sync.py
Sleep consolidation	/dream — now actually works: sleep_time.consolidate() was added (the old per-turn call targeted a nonexistent attribute and silently never ran)	sleep_time.py → MemoryConsolidation.consolidate_all()
Repo map / auto-read / auto-search	tool calls (tool_executor.execute_tool)	tool_executor.py
Auto-context / auto-tasks / behavior	direct call (auto_context.build_auto_context, auto_tasks.extract_tasks, behavior.match_context)	auto_context.py, auto_tasks.py, behavior.py

Event-trigger seed (#48-compatible)

The pipeline's side effects split three ways (plan research): display status → broker trace; neuron priming → explicit trigger; sleep/drift/persona sync → meaningful-event triggered. This stage seeds the taxonomy, it does NOT build the trigger engine (that is #48 / P3-05):

1. Session start — the existing startup checks (unchanged).
2. Explicit /commands — /drift, /pressure, /health, /events, /dream, ... (unchanged).
3. NEW: task.failed — the operator emits the typed vocabulary event (event_bus.emit("task.failed", source="rune_operator", ...)) on every send_task failure transition (rune_operator._emit_task_failed, both the direct path and the approval-resolution path via _apply_runtime_result). This is the first endogenous trigger. #48 grows the taxonomy and builds the scheduler on top of these seeds.

Acceptance evidence

• 5 frozen tests green (red proven first: pipeline still ran + pre-dispatch still present); full suite 495 passed + 84 subtests (baseline 488 + 84; the only delta is the 5 new tests — zero regressions).
• grep -c record_failure src/rune/rune_tui.py: 21 → 4 (the pipeline's 17 calls died with it; the 4 remaining are the startup/provider paths).
• src/rune/canary_p0_04.py green, registered in the CI canary loop in the same commit (henxels gate).
• Authority map (config/v1_authority_map.json): the two context_construction TUI entries updated to reflect the completed removal (the disposition vocabulary has no removed value, so they stay archive-candidate with removal evidence).