docs: expand getting-started and add thin mise toolchain
Expand the offline Getting Started guide with outer-loop flow, fixture token table, artifact reading, verified compaction, and handoff fields. Add mise.toml (Python 3.12 + uv pins, check tasks) and refresh uv.lock to match package 0.4.0a1 / mem0 extra.
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@@ -8,11 +8,12 @@ Automated Context Lifecycle Management for LLM Agents.
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*Systemübersicht: Outer Loop (Decision Engine), Orchestrierung (Phasen/Handoffs) und Context Management Core (Memory + Verified Compaction). Details: [`docs/architecture.md`](docs/architecture.md).*
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**Neu hier?** → [**Getting Started (DE)**](docs/getting-started.md) — offline in ~15 Min von Install bis CONTINUE / COMPACT / HANDOFF.
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**Neu hier?** → [**Getting Started (DE)**](docs/getting-started.md) — offline in ~15–25 Min von Install bis CONTINUE / COMPACT / HANDOFF (ausführlich).
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## Requirements
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- Python ≥ 3.12
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- [`uv`](https://github.com/astral-sh/uv) empfohlen
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## Install
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@@ -23,6 +24,16 @@ uv pip install -e ".[dev]"
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# uv pip install -e ".[dev,mem0]"
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```
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### Optional: mise
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Wenn [mise](https://mise.jdx.dev/) installiert ist, pinned `mise.toml` **Python 3.12** und **uv** (Dependencies bleiben bei `uv` / `uv.lock`):
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```bash
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mise install # tools laut mise.toml
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mise run install # .venv + editable install
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mise run check # ruff + mypy + pytest
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```
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## CLI Quickstart
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```bash
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@@ -3,7 +3,7 @@
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Komponenten und Datenfluss des Context Lifecycle Management Systems.
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Design-Grundlage: [`docs/superpowers/specs/2026-08-04-clm-design.md`](superpowers/specs/2026-08-04-clm-design.md).
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**Neu hier?** Praktischer Einstieg (offline, ~15 Min): [`getting-started.md`](getting-started.md).
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**Neu hier?** Praktischer Einstieg (offline, ~15–25 Min, ausführlich): [`getting-started.md`](getting-started.md).
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---
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+333
-48
@@ -1,23 +1,27 @@
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# Getting Started — CLM
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**Ziel:** In ca. 15 Minuten CLM offline installieren, den Outer Loop einmal laufen lassen und CONTINUE / COMPACT / HANDOFF an echten Artefakten sehen.
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**Ziel:** In ca. **15–25 Minuten** CLM offline installieren, den Outer Loop einmal laufen lassen und **CONTINUE / COMPACT / HANDOFF** an echten Artefakten nachvollziehen.
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**Kein API-Key nötig.** Der Guide nutzt den mitgelieferten `SimulatedAgent` und das Fixture
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[`tests/fixtures/sample_transcript.json`](../tests/fixtures/sample_transcript.json).
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Alle Befehle vom **Repository-Root** aus ausführen.
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Alle Befehle vom **Repository-Root** ausführen (`cd` ins geklonte Repo). Pfade und Session-IDs sind so gewählt, dass du die Blöcke 1:1 kopieren kannst.
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---
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## Worum geht’s?
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CLM (Context Lifecycle Management) ist ein **framework-agnostischer Outer Control Loop** über einem ausführenden Agenten. Pro Step misst es Tokens/Context und entscheidet:
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Lange Agent-Sessions füllen das Context Window: mehr Messages, Tool-Outputs und Historie → höhere Token-Kosten, schlechtere Recall und irgendwann harte Limits. Manuelles „Zusammenfassen und neu starten“ ist fehleranfällig und nicht auditierbar.
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| Aktion | Bedeutung |
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|--------|-----------|
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| **CONTINUE** | Context im grünen Bereich → weiterarbeiten |
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| **COMPACT** | Soft-Threshold überschritten → Context verdichten, Memory schreiben |
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| **HANDOFF** | Hard-Threshold / Phase-Grenze → strukturiertes Manifest, Session-Übergang |
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**CLM (Context Lifecycle Management)** ist ein **framework-agnostischer Outer Control Loop** *über* dem ausführenden Agenten. Pro Step misst es Tokens/Context und entscheidet:
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| Aktion | Bedeutung | Typische Auswirkung |
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|--------|-----------|---------------------|
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| **CONTINUE** | Context im grünen Bereich | Nächster Agent-Step, keine Intervention |
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| **COMPACT** | Soft-Threshold überschritten | Context verdichten, Snapshot ins Memory, Messages kürzen (nach Verify) |
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| **HANDOFF** | Hard-Threshold, Phase-Grenze oder Verify-Fail | Strukturiertes Manifest schreiben, Session-Übergang / Stop |
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CLM ersetzt deinen Agenten nicht — es **beobachtet und steuert** ihn (SimulatedAgent offline, später z. B. OpenAI-compatible Adapter).
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@@ -25,55 +29,160 @@ CLM (Context Lifecycle Management) ist ein **framework-agnostischer Outer Contro
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---
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## Wie der Outer Loop tickt
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Pro Step läuft grob dieser Zyklus:
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```text
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1. Agent.step(messages) → neue Messages, Token-Counts, task_status
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2. MetricsMonitor.update(...) → TokenSnapshot, append metrics.jsonl
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3. DecisionEngine.decide(...) → CONTINUE | COMPACT | HANDOFF (+ trigger, rationale)
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4. Aktion ausführen:
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CONTINUE → nächster Step
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COMPACT → CompactionPipeline (+ Verify), dann oft weiter
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HANDOFF → HandoffPipeline (Manifest), Loop stoppt typischerweise
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```
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### Soft- vs. Hard-Threshold
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| Schwelle | CLI-Flag | Rolle |
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|----------|----------|--------|
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| **soft_compact** | `--soft-compact` | Ab hier *darf/soll* verdichtet werden (Context retten, Session fortsetzen) |
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| **hard_handoff** | `--hard-handoff` | Ab hier ist Weiterarbeiten riskant → strukturierter Handoff |
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Im Profil **`coding`** (Default) liegen die eingebauten Defaults bei ca. **soft ≈ 250 000** und **hard ≈ 350 000** Tokens. In den Demo-Szenarien überschreiben wir die Werte absichtlich, damit das 4-Step-Fixture deterministisch CONTINUE, COMPACT oder HANDOFF zeigt.
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**Default-Metrik für Schwellen:** session-kumulativ `tokens.total_tokens` (Summe über Steps). Optional kann die Engine auf Window-Schätzung (`context_tokens`) umgestellt werden — das ist fortgeschritten und hier nicht nötig. Details: [metrics.md](metrics.md).
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### Entscheidungsreihenfolge (Alltagssprache)
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Die Engine prüft Regeln in fester Priorität (vereinfacht):
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1. Externe **Phasengrenze** (z. B. nach `clm signal --phase-done`) und Policy „lieber handoff“ → **HANDOFF**
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2. Tokens ≥ **hard** → **HANDOFF** (`trigger=hard_handoff`)
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3. Tokens ≥ **soft** (und genug Steps seit letztem Compact) → **COMPACT** (`trigger=soft_compact`)
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4. Sonst → **CONTINUE** (`trigger=none`)
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Zusätzlich (P2): schlägt die **Verified Compaction** fehl, erzwingt der Loop einen Handoff mit `trigger=verify_fail` — die Messages bleiben dann unangetastet.
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Jede Entscheidung landet in `decisions.jsonl` mit `action`, `trigger`, `rationale`, `step_index`, `total_tokens`.
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---
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## Das Demo-Fixture
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Datei: [`tests/fixtures/sample_transcript.json`](../tests/fixtures/sample_transcript.json)
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Der `SimulatedAgent` spielt daraus **4 deterministische Steps** einer kleinen Auth-/Login-Story ab (kein LLM-Call). Jeder Step liefert u. a. `messages_added`, `input_tokens`, `output_tokens`, `task_status`.
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| Step | ~kumuliert `total_tokens` | `task_status` | Inhalt (kurz) |
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|------|---------------------------|---------------|----------------|
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| 1 | **12 800** | `running` | Auth-Modul lesen / Login skizzieren |
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| 2 | **60 300** | `running` | Handler implementiert, Datei geschrieben |
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| 3 | **149 500** | `running` | Tests gelaufen, offene Punkte |
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| 4 | **244 900** | `completed` | MVP-Scope fertig |
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Damit sind die Demo-Thresholds nachvollziehbar:
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| Szenario | soft / hard | Erwartetes Verhalten |
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|----------|-------------|----------------------|
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| Nur CONTINUE | 500 000 / 600 000 | Alles ≪ soft → 4× continue, Task completed |
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| COMPACT | 1 000 / 500 000 | Schon nach Step 1 soft überschritten → mehrmals compact, trotzdem completed |
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| HANDOFF | 5 000 / 20 000 | Nach Step 1 oft compact; ab Step 2 (`~60k`) hard → handoff + Manifest |
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---
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## Voraussetzungen
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- Python **≥ 3.12**
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- [`uv`](https://github.com/astral-sh/uv) empfohlen (alternativ: `python -m venv` + `pip`)
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- **Python ≥ 3.12** (`python --version`)
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- **[`uv`](https://github.com/astral-sh/uv)** empfohlen (schnell, Lockfile `uv.lock` im Repo)
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- Alternativ: `python -m venv .venv` + `pip install -e ".[dev]"`
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- Git-Checkout dieses Repos
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- Optional: **[mise](https://mise.jdx.dev/)** — pinnt Tool-Versionen laut `mise.toml` (Python/uv). **Kein** Ersatz für `uv` beim Installieren der Python-Dependencies
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---
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## 1. Installation
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`uv venv` legt eine projektlokale virtuelle Umgebung unter `.venv/` an. Das editable Install (`-e ".[dev]"`) verknüpft das Package `clm` aus `src/` und zieht Dev-Tools (pytest, ruff, mypy).
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```bash
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uv venv && source .venv/bin/activate
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uv pip install -e ".[dev]"
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clm --help
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```
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Erwartung: CLI-Hilfe mit u. a. `init`, `decide`, `run`, `status`, `compact`, `handoff`.
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**Erwartung:** CLI-Hilfe mit u. a.:
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Optional Qualität prüfen:
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| Befehl | Rolle im Einstieg |
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|--------|-------------------|
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| `init` | Workspace `.clm/` anlegen |
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| `decide` | DecisionEngine dry-run |
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| `run` | Outer Loop mit SimulatedAgent + Script |
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| `status` | Letzte Metrics/Decisions einer Session |
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| `compact` / `handoff` | Manuell auf persistiertem `state.json` |
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| `export`, `calibrate`, `signal`, `backup`, `experiment` | Später / Ops (P3–P4) |
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Optional Qualität prüfen (sollte grün sein):
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```bash
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pytest -q
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# optional: ruff check src tests && mypy src/clm
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```
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### Alternative mit mise
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Wenn mise installiert ist, liefert `mise.toml` **Python 3.12** und eine gepinnte **uv**-Version. Dependencies bleiben bei `uv` / `uv.lock`.
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```bash
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mise install
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mise run install
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mise run check # ruff + mypy + pytest
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clm --help
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```
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> **Hinweis:** Ohne Shell-Hook (`eval "$(mise activate zsh)"`) greifen Pins vor allem über `mise run` / `mise exec`. Der klassische uv-Pfad oben funktioniert unabhängig davon.
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---
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## 2. Workspace anlegen
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CLM speichert Runtime-Artefakte unter einem **Home-Verzeichnis** (Default: `.clm` im CWD). `init` legt die Struktur und eine leere Memory-Basis an.
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```bash
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clm init --path .clm
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```
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Erzeugt unter `.clm/` u. a.:
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**Erwartung (Auszug):** `Initialized CLM home at …` und Unterordner.
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| Pfad | Zweck |
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|------|--------|
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| `memory/` | Datei-basiertes Long-Term Memory (`MEMORY.md`, `topics/`, `logs/`) |
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| `memory/MEMORY.md` | Einstieg / Overview des datei-basierten Long-Term Memory |
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| `memory/topics/` | Themen-Snapshots |
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| `memory/logs/` | Memory-Logs |
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| `sessions/` | Pro Session: `state.json`, `metrics.jsonl`, `decisions.jsonl` |
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| `manifests/` | Handoff-Manifeste (JSON) |
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| `backups/`, `exports/`, `calibrations/` | Spätere Ops-Features (hier nicht nötig) |
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| `backups/` | Memory-Backups (`clm backup …`) |
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| `exports/` | Exportierte Metrics/Reports |
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| `calibrations/` | Empfohlene Thresholds (`clm calibrate --write`) |
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**Warum `--path`?** Du kannst mehrere Homes parallel nutzen (z. B. Demo vs. Experiment) oder Artefakte außerhalb des Repo halten. **Wichtig:** Sobald du nicht `.clm` im CWD nutzt, denselben `--path` bei *allen* Folge-Befehlen angeben — sonst sucht CLM am Default und meldet „home not found“.
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`.clm/` ist typischerweise **lokal** (Sessions/Manifeste stehen oft in `.gitignore` bzw. sollen nicht committed werden). Das ist beabsichtigt.
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---
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## 3. Entscheidung dry-run (ohne Agent)
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Die Decision Engine kannst du **ohne Run** gegen Token-Zahlen testen.
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Profil `coding` default: soft ≈ 250k, hard ≈ 350k.
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`clm decide` ruft nur die **DecisionEngine** auf: du gibst eine Token-Zahl und ein Profil, bekommst `action` + `trigger` — ohne Loop, ohne Fixture, ohne Memory.
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Profil `coding` Default: soft ≈ 250k, hard ≈ 350k.
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```bash
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# Unter soft → continue
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clm decide --tokens 100000 --profile coding
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# → action=continue trigger=none
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# Soft überschritten → compact
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clm decide --tokens 260000 --profile coding
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# → action=compact trigger=soft_compact
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@@ -83,14 +192,25 @@ clm decide --tokens 360000 --profile coding
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# → action=handoff trigger=hard_handoff
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```
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So siehst du, dass Thresholds die Aktion steuern — bevor ein Loop startet.
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So siehst du, dass **nur die Schwellen** die Aktion steuern — bevor ein Loop startet. Im echten `run` kommen dieselben Regeln nach jedem Agent-Step zum Zug, plus Compaction-Verify und optionale Policies.
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---
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## 4. Erster Loop: nur CONTINUE
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Das Fixture hat 4 Steps und endet bei ca. **~245k** Tokens gesamt.
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Mit **hohen** Thresholds bleibt alles unter soft/hard → nur `continue`.
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Das Fixture endet bei ca. **~245k** Tokens gesamt. Mit **hohen** Thresholds bleibt alles unter soft/hard → nur `continue`, Task läuft bis `completed`.
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### Parameter kurz erklärt
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| Flag | Bedeutung hier |
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|------|----------------|
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| `--goal` | Task-Ziel; wird u. a. als User-Seed und in State/Manifest gespeichert |
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| `--script` | JSON-Liste von SimulatedAgent-Steps |
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| `--profile` | Default-Threshold-Profil (`coding`) |
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| `--soft-compact` / `--hard-handoff` | Überschreiben der Profil-Schwellen für dieses Demo |
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| `--max-steps` | Sicherheitslimit (20 ≫ 4 Fixture-Steps) |
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| `--session-id` | Fester Name → vorhersagbare Pfade unter `sessions/` |
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| `--path` | CLM-Home (hier `.clm`) |
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```bash
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clm run --goal "getting-started continue" \
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@@ -100,18 +220,44 @@ clm run --goal "getting-started continue" \
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--max-steps 20 --session-id gs-continue --path .clm
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```
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**Erwartung (Auszug der CLI-Ausgabe):**
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**Erwartung (CLI-Auszug):**
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- `session_id=gs-continue`
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- `stopped_reason=completed`
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- `compact_count=0`
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```text
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session_id=gs-continue
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stopped_reason=completed
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status=completed
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steps=4
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tokens.total=244900
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compact_count=0
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decisions=4
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```
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Danach Status und Decisions prüfen:
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```bash
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clm status --session-id gs-continue --path .clm
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grep '"action"' .clm/sessions/gs-continue/decisions.jsonl
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```
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Erwartung: nur `"action": "continue"`.
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**Erwartung:**
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- `status` zeigt vier Metric-Zeilen und vier Decisions
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- in `decisions.jsonl` nur `"action": "continue"` mit `"trigger": "none"`
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- Rationales sinngemäß: *no handoff or compact rule matched*
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Illustrative Decision-Zeile (Felder gekürzt):
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```json
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{
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"action": "continue",
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"trigger": "none",
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"rationale": "no handoff or compact rule matched",
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"step_index": 1,
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"total_tokens": 12800
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}
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```
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> **Warum so?** Soft/hard liegen bewusst *über* dem Fixture-Maximum (~245k). Die Engine hat keinen Grund zu intervenieren — ideal, um „gesunden“ Loop und Artefakt-Schreiben ohne Side-Effects zu sehen.
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---
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@@ -119,19 +265,49 @@ Erwartung: nur `"action": "continue"`.
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Pro Session unter `.clm/sessions/<id>/`:
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```text
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.clm/sessions/gs-continue/
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state.json # aktueller Session-Stand (Source of Truth für resume/compact/handoff)
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metrics.jsonl # ein JSON-Objekt pro Zeile und Step
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decisions.jsonl # eine Decision (oder Verify-Event) pro Zeile
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```
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| Datei | Inhalt |
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|-------|--------|
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| `state.json` | Aktueller Session-Stand (goal, status, step_index, tokens, …) |
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| `metrics.jsonl` | Token-Snapshots pro Step (append-only) |
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| `decisions.jsonl` | Jede CONTINUE/COMPACT/HANDOFF-Entscheidung mit Trigger & Rationale |
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| `state.json` | `goal`, `status`, `step_index`, `messages`, `tokens`, `memory_keys`, Listen wie `changed_artifacts` / `blockers`, … |
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| `metrics.jsonl` | Token-Snapshots pro Step (append-only); optional Cost-Felder ab P4 |
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| `decisions.jsonl` | Jede CONTINUE/COMPACT/HANDOFF-Entscheidung inkl. `trigger` & `rationale`; bei Compaction zusätzlich Verify-Events |
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`clm status` fasst die letzten Zeilen zusammen. Die JSONL-Dateien eignen sich für `grep`/`jq` und spätere Exporte (siehe README).
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### `state.json` — worauf achten?
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| Feld | Bedeutung |
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||||
|------|-----------|
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| `session_id` / `goal` | Identität und Auftrag |
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||||
| `status` | z. B. `running`, `completed`, `phase_boundary`, … |
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| `step_index` | Wie viele Agent-Steps bereits gelaufen sind |
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| `tokens.total_tokens` | Kumulierte Session-Tokens (Schwellen-Default) |
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| `tokens.context_tokens` | Grobe Window-Schätzung (chars//4 der Messages) |
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| `last_compact_step` | Letzter Compact-Step oder `null` |
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| `memory_keys` | Keys, die Compaction/Handoff ins Memory geschrieben haben |
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| `messages` | Aktuelles Context Window (nach Compact ggf. gekürzt) |
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||||
### Lesepfad
|
||||
|
||||
1. **`clm status`** — schneller Überblick ohne JSON-Parsing
|
||||
2. **`decisions.jsonl`** — *warum* CONTINUE/COMPACT/HANDOFF
|
||||
3. **`metrics.jsonl`** — Token-Verlauf pro Step
|
||||
4. **`state.json`** — voller Stand (Messages, Artefakt-Listen)
|
||||
5. Bei Handoff: **`.clm/manifests/`**
|
||||
|
||||
Die JSONL-Dateien eignen sich für `grep`/`jq`. Formale Metrik-Definitionen: [metrics.md](metrics.md).
|
||||
|
||||
**Hinweis zu `status`:** Die Kurzzeilen unter Metrics zeigen oft die **pro-Step**-Tokenfelder der Logzeile; die Decision-Zeilen und `state.tokens.total_tokens` tragen die **kumulierte** Session-Summe, die für Soft/Hard zählt. Nicht wundern, wenn die Zahlen unterschiedlich aussehen — sie messen leicht verschiedene Schnitte derselben Session.
|
||||
|
||||
---
|
||||
|
||||
## 6. Mini-Szenario: COMPACT
|
||||
|
||||
Niedrige **soft**-Threshold → nach dem ersten Step greift Compaction.
|
||||
Niedrige **soft**-Threshold (`1000`) → schon nach Step 1 (`total_tokens ≈ 12 800`) greift Compaction. Hard bleibt hoch, damit die Session *nicht* handoffed, sondern nach dem Verdichten weiterläuft.
|
||||
|
||||
```bash
|
||||
clm run --goal "getting-started compact" \
|
||||
@@ -143,20 +319,45 @@ clm run --goal "getting-started compact" \
|
||||
|
||||
**Erwartung:**
|
||||
|
||||
- `stopped_reason=completed`
|
||||
- `compact_count` ≥ 1
|
||||
- in `decisions.jsonl`: `"action": "compact"` / `trigger` mit soft-compact
|
||||
```text
|
||||
stopped_reason=completed
|
||||
compact_count=3 # typisch: compact nach Steps 1–3; Step 4 completed
|
||||
last_recall_score=1.0 # Verify ok im Offline-Pfad
|
||||
```
|
||||
|
||||
```bash
|
||||
grep compact .clm/sessions/gs-compact/decisions.jsonl
|
||||
clm status --session-id gs-compact --path .clm
|
||||
```
|
||||
|
||||
In `decisions.jsonl` siehst du typischerweise Paare aus:
|
||||
|
||||
1. Decision `action=compact`, `trigger=soft_compact`, Rationale mit `tokens.total_tokens (…) >= soft_compact (1000)`
|
||||
2. Event `compaction_verify` mit `trigger=verify_ok`, `recall_score=1.0`
|
||||
|
||||
### Was passiert bei COMPACT?
|
||||
|
||||
1. **Strukturierte Summary** aus dem Session-State (Offline: ohne LLM)
|
||||
2. **Snapshot** ins Memory (Key u. a. unter Session/Compact-Step)
|
||||
3. **Compact-Hint** (Markdown): Goal, Constraints, Next action, Memory-Keys, Verified/Not verified
|
||||
4. **Verified Compaction:** deterministische Recall-Fragen gegen Summary+Hint (Goal, Verified, Constraints, Blockers). Default-Schwellwert `recall_score_threshold ≈ 0.8`
|
||||
5. **Nur bei Verify-OK:** Messages werden ersetzt (System-Hint + recent retain) — Context schrumpft
|
||||
6. **Bei Verify-Fail:** Messages bleiben; Loop erzwingt **HANDOFF** mit `trigger=verify_fail`
|
||||
|
||||
Im Offline-Demo mit dem Sample-Fixture ist Verify in der Regel grün (`recall_score=1.0`). Das Feature schützt dich später bei realen Sessions davor, kritische Fakten wegzuschneiden.
|
||||
|
||||
Optional Memory ansehen:
|
||||
|
||||
```bash
|
||||
ls .clm/memory/
|
||||
# je nach Lauf: MEMORY.md, topics/, logs/ und geschriebene Compact-Keys
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. Mini-Szenario: HANDOFF
|
||||
|
||||
Niedrige **hard**-Threshold → Session endet mit Handoff und Manifest.
|
||||
Niedrige **hard**-Threshold (`20 000`): nach Step 1 (~12.8k) kann noch compact greifen (soft=5000); nach Step 2 (~60.3k) ist hard überschritten → **HANDOFF** und Loop-Stop.
|
||||
|
||||
```bash
|
||||
clm run --goal "getting-started handoff" \
|
||||
@@ -168,35 +369,115 @@ clm run --goal "getting-started handoff" \
|
||||
|
||||
**Erwartung:**
|
||||
|
||||
- `stopped_reason=handoff`
|
||||
- `handoff_manifest=.clm/manifests/<timestamp>_gs-handoff.json` (Pfad in der Ausgabe)
|
||||
- Manifest unter `.clm/manifests/`
|
||||
```text
|
||||
stopped_reason=handoff
|
||||
status=running # Task nicht „completed“ — bewusst unterbrochen
|
||||
steps=2
|
||||
tokens.total=60300
|
||||
handoff_manifest=.clm/manifests/<timestamp>_gs-handoff.json
|
||||
```
|
||||
|
||||
```bash
|
||||
ls .clm/manifests/
|
||||
clm status --session-id gs-handoff --path .clm
|
||||
```
|
||||
|
||||
Das Manifest ist die auditierbare Übergabe an eine Folge-Session (Schema: [manifest-schema.md](manifest-schema.md)).
|
||||
### Was ist ein Handoff-Manifest?
|
||||
|
||||
Das Manifest ist die **auditierbare Übergabe** an eine Folgesession (Mensch oder Agent): Ziel, Stand, was verifiziert ist, was als Nächstes sicher ist, welche Memory-Keys geladen werden sollen.
|
||||
|
||||
Zentrale Felder (Auszug):
|
||||
|
||||
| Feld | Rolle |
|
||||
|------|--------|
|
||||
| `goal` | Auftrag der Session |
|
||||
| `status` | z. B. `in_progress` (hier typisch) |
|
||||
| `next_safe_action` | Sichere nächste Aktion für die Fortsetzung |
|
||||
| `memory_keys` | Keys zum Seed-Retrieval |
|
||||
| `token_snapshot` | Token-Stand zum Handoff |
|
||||
| `decision_rationale` | Warum gehandoft wurde (z. B. hard threshold) |
|
||||
| `changed_artifacts` / `verified` / `not_verified` / `blockers` | Arbeitsstand |
|
||||
| `schema_version` | Manifest-Version (aktuell `1.1`) |
|
||||
|
||||
Vollständige Feldliste und JSON Schema: [manifest-schema.md](manifest-schema.md), [`schemas/handoff_manifest.schema.json`](../schemas/handoff_manifest.schema.json).
|
||||
|
||||
Illustrativer Kern (Werte je nach Lauf):
|
||||
|
||||
```json
|
||||
{
|
||||
"goal": "getting-started handoff",
|
||||
"status": "in_progress",
|
||||
"schema_version": "1.1",
|
||||
"token_snapshot": 60300,
|
||||
"decision_rationale": "tokens.total_tokens (60300) >= hard_handoff (20000)",
|
||||
"next_safe_action": "Resume from manifest next_safe_action / re-read source_of_truth"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 8. Optional: ein Schritt weiter
|
||||
|
||||
Sobald CONTINUE/COMPACT/HANDOFF sitzen, sind das nützliche nächste Offline-Schritte (je 1–2 Minuten). Details und weitere Flags: [README.md](../README.md).
|
||||
|
||||
**Metrics exportieren** (JSON/HTML unter `.clm/exports/`):
|
||||
|
||||
```bash
|
||||
clm export metrics --format json --session-id gs-continue --path .clm
|
||||
clm export metrics --format html --session-id gs-continue --path .clm
|
||||
```
|
||||
|
||||
**Phasengrenze signalisieren** (nächste Decision bevorzugt Handoff, wenn Policy greift):
|
||||
|
||||
```bash
|
||||
# nur sinnvoll auf einer noch „lebenden“ / non-terminal Session
|
||||
clm signal --phase-done --session-id <id> --path .clm
|
||||
```
|
||||
|
||||
**Session fortsetzen** (`--resume` liest `state.json` und setzt den SimulatedAgent am `step_index` fort — greift nicht auf bereits `completed` / final gehandoften Terminal-Zuständen im Sinne „fertig“; für Experimente ggf. frische Session-ID nutzen):
|
||||
|
||||
```bash
|
||||
clm run --resume <session-id> \
|
||||
--script tests/fixtures/sample_transcript.json \
|
||||
--path .clm
|
||||
```
|
||||
|
||||
**Memory backupen:**
|
||||
|
||||
```bash
|
||||
clm backup memory --path .clm --label getting-started
|
||||
```
|
||||
|
||||
**Manuell compact/handoff** auf persistiertem State (ohne vollen Loop):
|
||||
|
||||
```bash
|
||||
clm compact --session-id gs-continue --path .clm
|
||||
clm handoff --session-id gs-continue --path .clm
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Was du jetzt kannst
|
||||
|
||||
- CLM offline installieren und den Outer Loop mit dem SimulatedAgent steuern
|
||||
- CONTINUE, COMPACT und HANDOFF an Thresholds und Artefakten nachvollziehen
|
||||
- Session-Status und JSONL-Logs lesen
|
||||
- Erklären, **wann** CONTINUE, COMPACT und HANDOFF greifen (soft/hard, Priorität)
|
||||
- Thresholds bewusst setzen und das Verhalten am 4-Step-Fixture vorhersagen
|
||||
- `state.json`, `metrics.jsonl` und `decisions.jsonl` lesen und `clm status` interpretieren
|
||||
- Ein Handoff-Manifest als Übergabe-Artefakt finden und grob einordnen
|
||||
- Wissen, wo Compaction verifiziert wird und was `verify_fail` bedeuten würde
|
||||
|
||||
---
|
||||
|
||||
## Als Nächstes
|
||||
|
||||
| Thema | Wo |
|
||||
|-------|-----|
|
||||
| Detaillierte Demo A/B/C + Manifest-Validierung | [README.md](../README.md) (Demo scenarios) |
|
||||
| Komponenten & Datenfluss | [architecture.md](architecture.md) |
|
||||
| Manifest-Felder | [manifest-schema.md](manifest-schema.md) |
|
||||
| Komponenten & Datenfluss, Verified Compaction | [architecture.md](architecture.md) |
|
||||
| Manifest-Felder & Schema | [manifest-schema.md](manifest-schema.md) |
|
||||
| Metrik-Definitionen | [metrics.md](metrics.md) |
|
||||
| Resume, Export, Calibrate, Backup, Multi-Agent, … | [README.md](../README.md) (CLI Quickstart / P2–P4) |
|
||||
| Tests | `pytest -q` |
|
||||
| Resume, Export, Calibrate, Backup, Multi-Agent, Cost, HITL | [README.md](../README.md) (CLI Quickstart / P2–P4) |
|
||||
| Tests / Quality Gate | `pytest -q` bzw. `mise run check` |
|
||||
|
||||
---
|
||||
|
||||
@@ -204,12 +485,16 @@ Das Manifest ist die auditierbare Übergabe an eine Folge-Session (Schema: [mani
|
||||
|
||||
| Symptom | Check |
|
||||
|---------|--------|
|
||||
| `clm: command not found` | Venv aktiv? `source .venv/bin/activate` und `uv pip install -e ".[dev]"` |
|
||||
| `CLM home not found` | Zuerst `clm init --path .clm`; bei anderen Pfaden immer `--path` setzen |
|
||||
| `clm: command not found` | Venv aktiv? `source .venv/bin/activate` und `uv pip install -e ".[dev]"`. Alternativ: `uv run clm …` |
|
||||
| `CLM home not found` | Zuerst `clm init --path .clm`; bei anderem Home immer denselben `--path` setzen |
|
||||
| Fixture nicht gefunden | Vom **Repo-Root** starten; Pfad `tests/fixtures/sample_transcript.json` |
|
||||
| Python-Fehler / Syntax | `python --version` ≥ 3.12 |
|
||||
| Python-Fehler / Syntax | `python --version` ≥ 3.12; mit mise: `mise install` und ggf. frisches `mise run install` |
|
||||
| Session-ID schon vorhanden / verwirrende Artefakte | Andere `--session-id` wählen oder `.clm/sessions/<id>/` löschen und neu laufen |
|
||||
| `resume` macht nichts Sinnvolles | Session bereits `completed` / final? Frische ID oder State prüfen (`step_index`, `status`) |
|
||||
| Unerwarteter `verify_fail` / Handoff statt Compact | Recall unter Threshold; Compact hat Messages *nicht* mutiert. `decisions.jsonl` nach `verify_fail` / `recall_score` durchsuchen |
|
||||
| mise pinnt Python, Shell zeigt weiter 3.14 | Shell nicht aktiviert (`mise activate`) — für Tasks `mise run …` / `mise exec -- …` nutzen |
|
||||
| `.clm/` taucht in `git status` auf | Oft lokal und ok; Sessions/Manifeste nicht committen, außer du willst Demo-Artefakte absichtlich versionieren |
|
||||
|
||||
---
|
||||
|
||||
*Version der Software: siehe `pyproject.toml` (`0.4.0a1`). Dieser Guide deckt den Offline-Kernpfad ab, nicht die vollständige Feature-Oberfläche.*
|
||||
*Version der Software: siehe `pyproject.toml` (`0.4.0a1`). Dieser Guide deckt den Offline-Kernpfad und die Lesbarkeit der Artefakte ab, nicht die vollständige Feature-Oberfläche (P3/P4 Ops, Live-Adapter, Policy-Plugins).*
|
||||
@@ -0,0 +1,30 @@
|
||||
# Thin toolchain layer: pin Python + uv. Dependencies stay with uv.lock.
|
||||
# Usage: mise install && mise run install && mise run check
|
||||
# Without mise: see README / docs/getting-started.md (uv-first).
|
||||
|
||||
[tools]
|
||||
python = "3.12"
|
||||
uv = "0.11.21"
|
||||
|
||||
[tasks.install]
|
||||
description = "Create .venv and install package + dev extras (editable)"
|
||||
run = """
|
||||
uv venv
|
||||
uv pip install -e ".[dev]"
|
||||
"""
|
||||
|
||||
[tasks.test]
|
||||
description = "Run pytest quietly"
|
||||
run = "uv run pytest -q"
|
||||
|
||||
[tasks.lint]
|
||||
description = "Ruff check on src and tests"
|
||||
run = "uv run ruff check src tests"
|
||||
|
||||
[tasks.typecheck]
|
||||
description = "mypy strict on clm package"
|
||||
run = "uv run mypy src/clm"
|
||||
|
||||
[tasks.check]
|
||||
description = "lint + typecheck + test (quality gate)"
|
||||
depends = ["lint", "typecheck", "test"]
|
||||
@@ -3,7 +3,9 @@ revision = 3
|
||||
requires-python = ">=3.12"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
"python_full_version == '3.14.*'",
|
||||
"python_full_version == '3.13.*'",
|
||||
"python_full_version < '3.13'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -24,6 +26,19 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/99/91/8acff4f5e50511b911bbccb72b8628a49c68ce14148cd9f6431094859a90/annotated_types-0.8.0-py3-none-any.whl", hash = "sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0", size = 13427, upload-time = "2026-07-23T20:16:12.938Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.14.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ast-serialize"
|
||||
version = "0.6.0"
|
||||
@@ -65,9 +80,88 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/66/40/c53deb2cd0c9b0fb636d24d9f40924cf2e65028e6b20b10cd5c1eeb2c730/ast_serialize-0.6.0-cp39-abi3-win_arm64.whl", hash = "sha256:ccd132fe8db56f61fe743b1f644d01b8d65b83248a8da506f3132bda86d6ed5e", size = 1072965, upload-time = "2026-06-30T20:02:54.097Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "backoff"
|
||||
version = "2.2.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148, upload-time = "2022-10-05T19:19:30.546Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2026.7.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a3/c2/24167ea9858356b47a87a50d39908bfdb72ceeefe0041586e704e5376b3a/certifi-2026.7.22.tar.gz", hash = "sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55", size = 138112, upload-time = "2026-07-22T03:35:12.644Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0b/a7/71ac2cff56fec219ed242bb11b8efb69fcc4bec75db06fb7bfe35de520e6/certifi-2026.7.22-py3-none-any.whl", hash = "sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775", size = 136983, upload-time = "2026-07-22T03:35:11.276Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.9"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/bd/2a/23f34ec9d04624958e137efdc394888716353190e75f25dd22c7a2c7a8aa/charset_normalizer-3.4.9.tar.gz", hash = "sha256:673611bbd43f0810bec0b0f028ddeaaa501190339cac411f347ac76917c3ae7b", size = 152439, upload-time = "2026-07-07T14:34:58.454Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/70/4a/ecbd131485c07fcdfad54e28946d513e3da22ef3b4bd854dcafae54ec739/charset_normalizer-3.4.9-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:45b0cc4e3556cd875e09102988d1ab8356c998b596c9fced84547c8138b487a0", size = 319300, upload-time = "2026-07-07T14:33:15.666Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/96/5d9364e3342d69f3a045e1777bc47c85c383e6e9466d561b33fdb419d1f9/charset_normalizer-3.4.9-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9b2aff1c7b3884512b9512c3eaadd9bab39fb45042ffaaa1dd08ff2b9f8109d9", size = 215802, upload-time = "2026-07-07T14:33:17.031Z" },
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Reference in new issue
Block a user