# llm-connect as Workstation-Independent Executor — Assessment > Status: v1 — 2026-07-16 (BINKY-WP-0003-T06). Green-lane assessment only. > Founder note (2026-07-16): "llm-connect should enable real automated work > based on activity-core independently from this workstation. This will > hopefully connect well with kaizen-agentic, too." ## What each piece actually is (verified against the repos) - **activity-core** (`~/activity-core`, production-backed on Railiance): owns *when/what/where*. Temporal Schedules fire ActivityDefinitions, rules emit tasks into the **issue-core REST sink**. Its `TaskExecutorWorkflow` is explicitly a **stub** — there is a designed but empty executor slot. The three Binky rhythm definitions are already landed there, disabled (see `activity-core-wiring.md`). - **llm-connect** (`~/llm-connect`, pre-release 0.1.0): a **Python client library**, not a service — a provider-neutral `LLMAdapter` layer (OpenAI, Gemini, OpenRouter, Anthropic-compatible, and a `ClaudeCodeAdapter` that shells out to the installed `claude` CLI). Its own SCOPE rules out "a complete application-level agent framework" and secret storage. So llm-connect is the *engine block*, not the car: the executor is a small new service that *uses* llm-connect. - **kaizen-agentic** (`~/kaizen-agentic`, v1.1.0): agent personas (markdown instruction sets) + project memory + Custodian MCP lookup (`get_kaizen_agent`). Explicitly does **not** own runtime execution. Its **active WP-0006 (with ADR-005) targets "scheduled agent execution via activity-core"** — the convergence the founder hopes for is already an active workstream on the kaizen side. Design (per `wiki/EcosystemIntegration.md`): a repo opts in by committing `.kaizen/schedule.yml` (`kaizen-agentic schedule init`); activity-core fires the cron (resolver spec `discover-kaizen-scheduled-repos`, handoff checklist in `docs/integrations/`) and creates one task per `(repo, agent)` that runs `kaizen-agentic schedule prepare `. Note the verb: *prepare*, not execute — kaizen assembles persona + context, and runtime execution remains Claude Code's job. llm-connect is ranked P3 in kaizen's own integration list, "when Coach/optimizer synthesis becomes automated beyond CLI context assembly" — i.e. exactly the executor-worker scenario below. ## Architecture that falls out The missing piece is one thin service — call it the **executor worker** — deployable on Railiance (workstation-independent): ```text activity-core (Temporal, Railiance) └─ definition fires → rule emits task → issue-core REST sink └─ executor worker (new, small; implements TaskExecutorWorkflow or polls issue-core) ├─ persona: get_kaizen_agent(name) via dev-hub MCP / HTTP ├─ engine: llm-connect adapter │ • ClaudeCodeAdapter where the claude CLI exists │ • hosted-API adapters (OpenAI/Gemini/OpenRouter/…) │ for CLI-less container runtime ├─ secrets: OpenBao via secrets-engine exec-time delivery │ (API keys; company-email creds for mail-triage tasks — │ same lane as integrations/company-email-openbao.md) └─ output: git commits to target_repo (forgejo), progress events + task closes to State Hub ``` Design points: 1. **Don't grow llm-connect into an agent framework** — its SCOPE forbids it. The worker composes llm-connect + kaizen persona + repo checkout. 2. **Task contract**: emitted tasks already carry `target_repo`, `task_template`, `description`, `labels` — enough to select persona (label → agent name mapping) and workspace. 3. **Secrets**: worker gets provider API keys and repo credentials via OpenBao/secrets-engine AppRole — no keys in configs. This is the same plumbing T01 prepares, so the two integrations reinforce each other. 4. **Autonomy guard**: the worker must enforce lanes the way `scripts/rhythm-session.sh` does (Green/Blue only, no push beyond its target repo, bounded effort) — policy text lives in the persona + AutonomyPolicy.md, enforcement in the worker's tool allow-list. 5. **Model choice** through llm-connect config (TOML) keeps cost policy (Token Budget) adjustable per task label without code changes. ## Gaps → follow-up workplan proposal (BINKY-WP-0004 candidate) Draft tasks, in dependency order: 1. Opt binky-control into kaizen scheduling (`.kaizen/schedule.yml` via `kaizen-agentic schedule init`) and align executor-worker ownership with kaizen WP-0006/ADR-005 (likely home: a new small repo or activity-core's TaskExecutorWorkflow, per that WP's handoff checklist). 2. Implement `binky_rhythm_status` resolver in activity-core (unblocks the three landed Binky definitions). 3. Executor worker MVP: consume one emitted task end-to-end on Railiance — persona load, llm-connect ClaudeCodeAdapter or hosted adapter, commit to binky-control, hub progress event (dry-run/sandbox repo first). 4. OpenBao lanes for the worker (provider API key + forgejo deploy key) via secrets-engine catalog entries. 5. Enable `binky-daily-rhythm`, remove the workstation cron bridge line. 6. Then: email-triage task type (joins T01's mailbox lane with the executor — real-world events driving real automated work). Ownership note: items 1–5 span activity-core / kaizen-agentic / secrets- engine domains; the follow-up workplan in binky-control should track them as dependencies, with the implementation workplans living in those repos. ## Ownership decision (2026-07-17, BINKY-WP-0004-T01) Recommendation recorded as **DEC-2026-002**: the executor worker lives in a **new small repo**, not inside activity-core or kaizen-agentic. ADR-005's boundaries exclude LLM invocation from both existing repos and explicitly defer "headless Claude Code / cloud agent runner integration" as a future, runner-agnostic concern — that future runner is exactly this worker. binky-control opted into kaizen scheduling on the same date (`.kaizen/schedule.yml`, coach + optimization weekly, tdd-workflow off). ## Verdict Feasible and well-aligned: every layer already exists or is an active workstream in its own domain; the only genuinely new code is a thin executor worker plus one context resolver. Binky-control's role is integrator and first customer, not implementor.