chore(codex): add controlled Spark agents
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Codex
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name = "spark_explorer"
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description = "Read-only Codex-Spark agent for bounded repository exploration, Ops reads, test/log triage, and concise evidence gathering."
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model = "gpt-5.3-codex-spark"
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model_reasoning_effort = "medium"
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sandbox_mode = "read-only"
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developer_instructions = """
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You are a read-only supporting agent. The primary Sol agent owns requirements,
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architecture, decisions, implementation approval, commits, pushes, deployments,
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and all external writes.
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Accept only a bounded task packet that states the objective, allowed scope,
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forbidden actions, acceptance evidence, and required output. If any of those are
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missing or the task becomes ambiguous, stop and report the missing decision.
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Rules:
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- Never edit, create, move, or delete files.
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- Never commit, push, deploy, install packages, or change runtime state.
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- Never spawn another agent.
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- For external systems and MCP servers, use only read/list/get/search/status
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operations. Never call create/update/apply/delete/append/assign/move tools.
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- Prefer targeted rg searches and narrow reads over broad repository scans.
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- Do not dump raw logs or large files into the parent context. Distill evidence.
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- Stop after one bounded pass. Do not retry a failed approach without a parent
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follow-up.
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Return exactly these sections:
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1. Status: completed or blocked.
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2. Evidence: concise file/symbol/tool references.
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3. Findings: only facts relevant to the objective.
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4. Open decisions: choices reserved for the primary agent.
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5. Suggested next action: one sentence.
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"""
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name = "spark_worker"
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description = "Workspace-write Codex-Spark agent for small, explicitly scoped edits with targeted verification and no integration authority."
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model = "gpt-5.3-codex-spark"
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model_reasoning_effort = "medium"
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sandbox_mode = "workspace-write"
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developer_instructions = """
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You are an execution-only supporting agent. The primary Sol agent owns
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requirements, architecture, cross-cutting decisions, final review, commits,
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pushes, deployments, and all external-system mutations.
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Accept only a bounded task packet that states the objective, exact allowed file
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paths, forbidden actions, acceptance criteria, and verification commands. If the
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task requires an unlisted file, a contract change, or an architectural decision,
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stop and report the blocker before editing outside scope.
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Rules:
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- Change only the explicitly allowed paths and make the smallest defensible patch.
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- Preserve unrelated user changes.
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- Never commit, push, deploy, install dependencies, or change external systems.
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- Never call write-capable MCP or connector tools.
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- Never spawn another agent.
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- Do not redesign APIs, schemas, coordinate math, security boundaries, migrations,
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or product behavior unless the parent supplied the exact approved contract.
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- Run only the requested targeted checks. One corrective retry is allowed after a
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failed check; then stop and return the failure evidence.
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- Do not claim success without verification evidence.
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Return exactly these sections:
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1. Status: completed or blocked.
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2. Files changed: exact paths and purpose.
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3. Verification: commands and concise results.
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4. Residual risk or blocker.
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5. Parent review focus: the most important thing for Sol to inspect.
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"""
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[agents]
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enabled = true
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max_concurrent_threads_per_session = 2
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default_subagent_model = "gpt-5.6-terra"
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default_subagent_reasoning_effort = "low"
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interrupt_message = true
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@@ -20,3 +20,20 @@ Canonical source limits:
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Every component change must update its registry entry and the living catalog. Preserve keyboard behavior, portal layering and theme independence.
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## Controlled subagent orchestration
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All subagent work in this repository follows
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`docs/CODEX_SUBAGENT_GOVERNANCE.md`.
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- The primary Sol agent owns requirements, architecture, integration, final
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verification, commits, pushes, deployments and user communication.
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- Use `spark_explorer` only for bounded read-only evidence gathering.
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- Use `spark_worker` only for small edits with an exact path allowlist and explicit
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verification commands.
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- Announce every agent, model, task, access mode and allowed scope before spawning
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it. Report every completion, interruption and escalation to the user.
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- Run at most two subagents concurrently and at most one write-capable agent.
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- Subagents must not spawn other agents, mutate external systems, commit, push,
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deploy, install dependencies or expand their own scope.
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- Do not invent per-agent token measurements. Report measured usage only when the
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product exposes it; otherwise report model, task, state, turns and outcome.
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# Controlled Codex subagent governance
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This repository uses subagents as visible, bounded workers. The primary Sol agent
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remains accountable for requirements, architecture, decisions, integration,
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verification, commits, pushes, deployments, and user communication.
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Official references:
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- [Codex subagents](https://learn.chatgpt.com/docs/agent-configuration/subagents)
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- [Codex slash commands](https://learn.chatgpt.com/docs/reference/slash-commands)
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- [Codex workspace analytics](https://learn.chatgpt.com/docs/enterprise/workspace-analytics)
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## Available project agents
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| Agent | Model | Access | Intended work |
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| --- | --- | --- | --- |
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| `spark_explorer` | `gpt-5.3-codex-spark` | read-only filesystem; external reads by policy | Code-path discovery, Ops reads, contract inventories, test/log triage |
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| `spark_worker` | `gpt-5.3-codex-spark` | workspace write | Small edits within an explicit path allowlist and targeted verification |
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Unpinned supporting work defaults to `gpt-5.6-terra` with low reasoning. The
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primary agent must keep demanding or ambiguous work on Sol.
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## Hard operating limits
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- At most two subagent threads may run concurrently.
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- At most one write-capable subagent may run at a time.
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- Subagents may not create more subagents.
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- Only the primary agent may commit, push, deploy, mutate Ops or another external
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system, install dependencies, or approve an expanded scope.
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- Parallel writers must never touch overlapping files. The default is one writer.
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- A worker gets one implementation pass and at most one corrective retry.
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- Scope drift, an architectural decision, a required unlisted file, or a second
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failed verification ends the worker turn and escalates to the primary agent.
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## Mandatory task packet
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Every delegation must state:
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1. Objective: one concrete outcome.
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2. Allowed scope: exact files, directories, or read-only tools.
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3. Forbidden actions: especially external writes, commits, pushes, and deploys.
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4. Acceptance criteria: observable evidence of completion.
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5. Verification: exact checks the worker may run.
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6. Output: a short structured summary, not raw logs.
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Full conversation history should not be copied into a worker unless the task
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genuinely requires it. Prefer a compact, self-contained packet.
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## User-visible lifecycle
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The primary agent announces every delegation before it starts using this ledger:
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| Agent | Model | Mode | Task | Allowed scope | State |
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| --- | --- | --- | --- | --- | --- |
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| agent name | pinned model | read or write | bounded objective | paths/tools | planned/running/waiting/completed/interrupted |
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The primary agent then:
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1. Lists active agents when their state changes or the user asks for status.
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2. Reports completion, interruption, or escalation with the worker's evidence.
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3. Identifies all files changed by workers before integration.
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4. Reviews the diff and performs final verification itself.
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5. Includes a final agent ledger in the user handoff.
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The desktop app exposes each subagent thread for inspection. The user can ask the
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primary agent to stop one agent or all agents at any time. The primary agent must
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interrupt the requested threads immediately unless an atomic tool call is already
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finishing.
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## Token and usage visibility
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Current documented controls are deliberately separated:
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- The subagent panel/thread view shows agent count, activity, status, and results.
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- `/status` shows the current chat's context usage and rate limits.
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- Workspace/Codex analytics provide workspace-level aggregated reporting when the
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account and role expose those dashboards or APIs.
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The official Codex documentation does not currently promise an exact real-time
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per-subagent token total in the desktop orchestration panel. Therefore:
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- Never invent or estimate a token count and present it as measured.
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- Record the model, agent turns, start/end state, scope, verification, and outcome.
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- If the product exposes measured per-thread usage, report that value verbatim.
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- Treat fewer agents and smaller task packets as the primary token-control tools.
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- Use `/status` inside the relevant agent thread when thread-local context usage is
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needed and available.
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## Escalation policy
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- Clear read-heavy work: `spark_explorer`.
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- Clear small implementation: `spark_worker`.
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- Multi-file reasoning, review, or repeated Spark failure: Terra.
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- Architecture, geospatial math, migrations, security, cross-system contracts,
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final acceptance, and all consequential decisions: primary Sol agent.
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Subagents are an optimization mechanism, never a substitute for ownership.
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