test(subagent): refresh PowerShell and Python SDK tool snapshots

scripts/snapshots/python-sdk-single-exe/dynamic-tools/tool-history.json

@@ -56,6 +56,7 @@
             "job_list",
             "job_output",
             "list_agents",
+            "list_subagent_models",
             "load_workspace_dependencies",
             "read",
             "read_image",
@@ -113,6 +114,7 @@
             "job_list",
             "job_output",
             "list_agents",
+            "list_subagent_models",
             "load_workspace_dependencies",
             "read",
             "read_image",
@@ -185,6 +187,7 @@
             "job_list",
             "job_output",
             "list_agents",
+            "list_subagent_models",
             "load_workspace_dependencies",
             "read",
             "read_image",

scripts/snapshots/python-sdk-single-exe/restart/requests.json

@@ -23,6 +23,7 @@
       "job_kill",
       "job_list",
       "job_output",
+      "list_subagent_models",
       "subagent",
       "workflow",
       "working_directory"
@@ -52,6 +53,7 @@
       "job_kill",
       "job_list",
       "job_output",
+      "list_subagent_models",
       "subagent",
       "workflow",
       "working_directory"

scripts/snapshots/python-sdk-single-exe/restart/session.1.v4.jsonl

@@ -9,7 +9,7 @@
 {"type":"system/message","data":{"turn":1,"step":1,"message":{"role":"system","content":[{"type":"text","text":"{{system}}"}],"source":{"kind":"system-prompt"},"id":"{{messageId}}"}},"surfaceOp":"append"}
 {"type":"user/message","data":{"content":[{"type":"text","text":"Complete the first isolated Python SDK process turn."}],"source":{"kind":"user"},"role":"user","id":"{{messageId}}"},"surfaceOp":"append"}
 {"type":"user/message","data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent working directory: \"{{cwd}}\".\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}],"source":{"kind":"runtime-context","form":"snapshot","sections":[{"name":"working-directory:current","text":"Current working directory: \"{{cwd}}\"."},{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}]},"role":"user","id":"{{messageId}}"},"surfaceOp":"append"}
-{"type":"request/header","data":{"header":{"config":{"provider":"deepseek-official","model":"smoke-model","maxTokens":256000,"reasoningEffort":"high"},"adapterDefaults":{"reasoningEffort":true,"maxTokens":true},"tools":["cordis_inspect_list","cordis_inspect_query","job_kill","job_list","job_output","subagent","workflow","working_directory"]},"reason":"initial"}}
+{"type":"request/header","data":{"header":{"config":{"provider":"deepseek-official","model":"smoke-model","maxTokens":256000,"reasoningEffort":"high"},"adapterDefaults":{"reasoningEffort":true,"maxTokens":true},"tools":["cordis_inspect_list","cordis_inspect_query","job_kill","job_list","job_output","list_subagent_models","subagent","workflow","working_directory"]},"reason":"initial"}}
 {"type":"request/context","data":{"provider":"deepseek-official","model":"smoke-model","contextWindow":1000000}}
 {"type":"session/title","data":{"title":"Complete the first isolated Python","messageSeqs":[8],"source":{"kind":"fallback"}}}
 {"type":"session-log-deepseek/delivery-accepted","data":{"sessionId":"{{session-1}}","sessionFormatVersion":4,"throughSeq":12}}

scripts/snapshots/python-sdk-single-exe/restart/session.2.v4.jsonl

@@ -9,7 +9,7 @@
 {"type":"system/message","data":{"turn":1,"step":1,"message":{"role":"system","content":[{"type":"text","text":"{{system}}"}],"source":{"kind":"system-prompt"},"id":"{{messageId}}"}},"surfaceOp":"append"}
 {"type":"user/message","data":{"content":[{"type":"text","text":"Complete the second isolated Python SDK process turn."}],"source":{"kind":"user"},"role":"user","id":"{{messageId}}"},"surfaceOp":"append"}
 {"type":"user/message","data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent working directory: \"{{cwd}}\".\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}],"source":{"kind":"runtime-context","form":"snapshot","sections":[{"name":"working-directory:current","text":"Current working directory: \"{{cwd}}\"."},{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}]},"role":"user","id":"{{messageId}}"},"surfaceOp":"append"}
-{"type":"request/header","data":{"header":{"config":{"provider":"deepseek-official","model":"smoke-model","maxTokens":256000,"reasoningEffort":"high"},"adapterDefaults":{"reasoningEffort":true,"maxTokens":true},"tools":["cordis_inspect_list","cordis_inspect_query","job_kill","job_list","job_output","subagent","workflow","working_directory"]},"reason":"initial"}}
+{"type":"request/header","data":{"header":{"config":{"provider":"deepseek-official","model":"smoke-model","maxTokens":256000,"reasoningEffort":"high"},"adapterDefaults":{"reasoningEffort":true,"maxTokens":true},"tools":["cordis_inspect_list","cordis_inspect_query","job_kill","job_list","job_output","list_subagent_models","subagent","workflow","working_directory"]},"reason":"initial"}}
 {"type":"request/context","data":{"provider":"deepseek-official","model":"smoke-model","contextWindow":1000000}}
 {"type":"session/title","data":{"title":"Complete the second isolated Python","messageSeqs":[8],"source":{"kind":"fallback"}}}
 {"type":"session-log-deepseek/delivery-accepted","data":{"sessionId":"{{session-2}}","sessionFormatVersion":4,"throughSeq":12}}

snapshots/session/persistent-pwsh-tool-turn/tool-schemas.expected.json

@@ -135,6 +135,23 @@
         }
       }
     },
+    {
+      "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 allowed 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 allowed models."
+          }
+        }
+      }
+    },
     {
       "name": "pwsh",
       "description": "Run commands in a persistent PowerShell shell. State, including the current directory and exported environment variables, persists across calls for this agent.",
@@ -214,7 +231,7 @@
     },
     {
       "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. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes.",
+      "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. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes. 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": {
@@ -229,6 +246,18 @@
           "prompt": {
             "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."
           }
         },
         "required": [
@@ -239,7 +268,7 @@
     },
     {
       "name": "subagent_fork",
-      "description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes.",
+      "description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes. 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. Changing the route can prevent provider-side reuse of the inherited conversation prefix.",
       "parameters": {
         "type": "object",
         "properties": {
@@ -254,6 +283,18 @@
           "prompt": {
             "type": "string",
             "description": "The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new."
+          },
+          "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."
           }
         },
         "required": [

snapshots/session/pwsh-tool-turn/tool-schemas.expected.json

@@ -187,6 +187,23 @@
         }
       }
     },
+    {
+      "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 allowed 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 allowed models."
+          }
+        }
+      }
+    },
     {
       "name": "pwsh",
       "description": "Execute a PowerShell command (`pwsh -Command`) and return its stdout/stderr. Each call runs in a fresh pwsh process; pass `workdir` instead of using `cd`. Paths use native Windows form (`C:\\...`); read environment variables with `$env:NAME`. Managed `$env:DSH_*` variables expose current harness environment facts. Long output is truncated to its tail; the full output is saved to a file whose path is reported when available. On Windows a force-killed command settles as `[exit code: 1]` without a signal marker — treat it as an interruption, not a command failure. Provide `description` before `command` in the arguments. Before any delete or move, verify that the resolved absolute target path is the intended one; never run it against a computed path you have not checked. Do not assign to automatic variables such as `$HOME`; variable names are case-insensitive, so `$home` is the same read-only variable. Commands may run under a file sandbox; a blocked file operation is reported as `[sandbox: file access denied under <mode> mode]`, a policy denial: do not retry another way. Under the Windows sandbox, read-only pwsh runs in PowerShell ConstrainedLanguage mode, while workspace-write stays in FullLanguage unless host policy says otherwise. In read-only, prefer cmdlets and core types (`[string]`, `[datetime]`, `[regex]`, `[guid]`); .NET static calls (`[System.IO.*]::`, `[math]::`), `Add-Type`, COM objects, and reflection fail with \"only core types\" errors. `-f` formatting, property access, and core cmdlets work. In both confined modes, programs cannot open named pipes, so a command that captures another program's output through piped stdio (Node.js `child_process.spawn`/`exec` with the default `stdio: 'pipe'`) fails with EPERM, while `stdio: 'inherit'` and `stdio: 'ignore'` spawns work and PowerShell's own pipelines are unaffected. That EPERM is the documented boundary: do not retry the command another way — escalate the exact command once or restructure it to avoid capturing output.",
@@ -295,7 +312,7 @@
     },
     {
       "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. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes.",
+      "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. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes. 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": {
@@ -310,6 +327,18 @@
           "prompt": {
             "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."
           }
         },
         "required": [
@@ -320,7 +349,7 @@
     },
     {
       "name": "subagent_fork",
-      "description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes.",
+      "description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This tool starts an independently managed subagent and immediately returns its id. The runtime notifies you when it finishes. The child reports results with `send_message`; use `send_message` to steer it while running or continue its conversation after it finishes. 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. Changing the route can prevent provider-side reuse of the inherited conversation prefix.",
       "parameters": {
         "type": "object",
         "properties": {
@@ -335,6 +364,18 @@
           "prompt": {
             "type": "string",
             "description": "The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new."
+          },
+          "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."
           }
         },
         "required": [