diff --git a/snapshots/session/cordis-inspect-jsdoc/system-prompt.expected.md b/snapshots/session/cordis-inspect-jsdoc/system-prompt.expected.md index 760cb33a34..b880f67453 100644 --- a/snapshots/session/cordis-inspect-jsdoc/system-prompt.expected.md +++ b/snapshots/session/cordis-inspect-jsdoc/system-prompt.expected.md @@ -23,8 +23,6 @@ Use the web_search tool to discover current information on the web. The required Use goal tools for one long-running completion objective in the current session. create_goal may infer goal intent from a direct human request in any language; do not create a goal for routine single-turn work. Call get_goal before update_goal and copy its exact goal_id and revision. After session resume or fork, an active goal is disarmed: when a human asks to continue or resume in any wording or language, use update_goal action resume to rearm it. Mark complete only when the objective is actually achieved. Mark blocked only after the same blocking condition persists for at least 3 consecutive goal rounds, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked. -Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls. - # Dynamic Cordis Plugins Dynamic Cordis plugins temporarily extend the current DSH process. A Plugin uses apply(ctx) to consume Services, listen to Events, provide Services, register model Tools, or register browser UI in Slots. @@ -131,6 +129,8 @@ return { - After a technical failure, use cordis_inspect_self to read the exact Package source and its message/stack. Define a corrected Package under the same Plugin and retry autonomously. - Use the cordis-plugin-development Skill for other failure causes, repair procedures, and complete extension patterns. +Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls. + Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out. Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message. diff --git a/snapshots/session/ralph-loop/tool-schemas.1.expected.json b/snapshots/session/ralph-loop/tool-schemas.1.expected.json index 0472cd68ad..4183c61b3d 100644 --- a/snapshots/session/ralph-loop/tool-schemas.1.expected.json +++ b/snapshots/session/ralph-loop/tool-schemas.1.expected.json @@ -260,6 +260,23 @@ } } }, + { + "name": "list_subagent_models", + "description": "Discover LLM routes for subagents without changing the current Agent. Call with no arguments to list registered providers, with `provider` to list its advertised models, or with `provider` and `model` to inspect that exact model and its reasoning efforts. Catalog membership is advisory: an adapter may accept an unlisted model id. Use the returned ids with a delegation tool's `provider`, `model`, and `reasoning_effort` fields.", + "parameters": { + "type": "object", + "properties": { + "provider": { + "type": "string", + "description": "Registered LLM provider id. Omit to list providers." + }, + "model": { + "type": "string", + "description": "Exact model id to inspect. Requires provider; omit to list that provider's advertised models." + } + } + } + }, { "name": "ralph", "description": "Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.", @@ -452,7 +469,7 @@ }, { "name": "subagent", - "description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.", + "description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. Child LLM selection is optional. Omit `provider`, `model`, and `reasoning_effort` to use configured child defaults and inherit compatible missing values from the parent Agent. Supply `provider` and `model` together after using `list_subagent_models` to inspect advertised routes and efforts. Changing the effective route without naming an effort uses the selected model's default effort.", "parameters": { "type": "object", "properties": { @@ -464,6 +481,18 @@ "type": "string", "description": "The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs." }, + "provider": { + "type": "string", + "description": "LLM provider route for the child. Supply together with model; omit both to use configured child defaults or inherit the parent route." + }, + "model": { + "type": "string", + "description": "Model id interpreted by provider. Supply together with provider; omit both to use configured child defaults or inherit the parent route." + }, + "reasoning_effort": { + "type": "string", + "description": "Adapter-owned reasoning effort for the effective child route. Omit to inherit a compatible configured/parent effort or use a newly selected model's default." + }, "run_in_background": { "type": "boolean", "description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it." diff --git a/snapshots/session/ralph-loop/tool-schemas.2.expected.json b/snapshots/session/ralph-loop/tool-schemas.2.expected.json index 0472cd68ad..4183c61b3d 100644 --- a/snapshots/session/ralph-loop/tool-schemas.2.expected.json +++ b/snapshots/session/ralph-loop/tool-schemas.2.expected.json @@ -260,6 +260,23 @@ } } }, + { + "name": "list_subagent_models", + "description": "Discover LLM routes for subagents without changing the current Agent. Call with no arguments to list registered providers, with `provider` to list its advertised models, or with `provider` and `model` to inspect that exact model and its reasoning efforts. Catalog membership is advisory: an adapter may accept an unlisted model id. Use the returned ids with a delegation tool's `provider`, `model`, and `reasoning_effort` fields.", + "parameters": { + "type": "object", + "properties": { + "provider": { + "type": "string", + "description": "Registered LLM provider id. Omit to list providers." + }, + "model": { + "type": "string", + "description": "Exact model id to inspect. Requires provider; omit to list that provider's advertised models." + } + } + } + }, { "name": "ralph", "description": "Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.", @@ -452,7 +469,7 @@ }, { "name": "subagent", - "description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.", + "description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. Child LLM selection is optional. Omit `provider`, `model`, and `reasoning_effort` to use configured child defaults and inherit compatible missing values from the parent Agent. Supply `provider` and `model` together after using `list_subagent_models` to inspect advertised routes and efforts. Changing the effective route without naming an effort uses the selected model's default effort.", "parameters": { "type": "object", "properties": { @@ -464,6 +481,18 @@ "type": "string", "description": "The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs." }, + "provider": { + "type": "string", + "description": "LLM provider route for the child. Supply together with model; omit both to use configured child defaults or inherit the parent route." + }, + "model": { + "type": "string", + "description": "Model id interpreted by provider. Supply together with provider; omit both to use configured child defaults or inherit the parent route." + }, + "reasoning_effort": { + "type": "string", + "description": "Adapter-owned reasoning effort for the effective child route. Omit to inherit a compatible configured/parent effort or use a newly selected model's default." + }, "run_in_background": { "type": "boolean", "description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."