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"t3-code__unwatch_pull_request", "t3-code__write_pull_request_guides", "t3-code__read_pull_request_guide", "t3-code__device_list", "t3-code__device_open", "t3-code__device_close", "t3-code__device_screenshot", "t3-code__html_render", "t3-code__html_preview" ] } }, "_meta": { "totalTokens": 13655, "requestTrimmedTokens": 0, "eventId": "01a17043-5bc2-7fb3-b474-1191d6e097c9-20", "agentTimestampMs": 1792884829002, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884828862, "turnStartMs": 1792884826761, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:33:49.011Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "update": { "sessionUpdate": "response_completed", "usage": { "input_tokens": 12430, "output_tokens": 66, "cache_read_input_tokens": 1152, "cache_creation_input_tokens": 0, "reasoning_tokens": 52 }, "signature": "[REDACTED]" } } } }, { "time": "2026-10-24T23:33:49.393Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "entries": [] } } }, { "time": "2026-10-24T23:33:49.394Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "update": { "sessionUpdate": "turn_completed", "prompt_id": "t3-xai-prompt-1", "stop_reason": "end_turn", "usage": { "inputTokens": 13582, "outputTokens": 66, "totalTokens": 13648, "cachedReadTokens": 1152, "cacheCreationTokens": 0, "reasoningTokens": 52, "modelCalls": 1, "apiDurationMs": 1915, "costUsdTicks": 87828800, "modelUsage": { "grok-4.6-build": { "inputTokens": 13582, "outputTokens": 66, "totalTokens": 13648, "cachedReadTokens": 1152, "cacheCreationTokens": 0, "reasoningTokens": 52, "modelCalls": 1, "apiDurationMs": 1915, "costUsdTicks": 87828800 } }, "numTurns": 1 }, "elapsed_ms": 2631 }, "_meta": { "eventId": "01a17043-5bc2-7fb3-b474-1191d6e097c9-23", "agentTimestampMs": 1792884829392 } } } }, { "time": "2026-10-24T23:33:49.396Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/prompt_complete", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "promptId": "t3-xai-prompt-1", "stopReason": "end_turn", "agentResult": null } } }, { "time": "2026-10-24T23:33:49.396Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/sessions/changed", "params": { "upserted": [ { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "title": null, "cwd": "/tmp/ev-20371-final/after/project", "isWorktree": false, "modelId": "grok-4.6", "reasoningEffort": "low", "yolo": true, "activity": "idle", "resident": true, "lastChangeUnixMs": 1792884829395, "origin": { "kind": "local" } } ], "removed": [] } } }, { "time": "2026-10-24T23:33:49.397Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "id": 1073741826, "result": { "stopReason": "end_turn", "_meta": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "requestId": "t3-xai-prompt-1", "promptId": "t3-xai-prompt-1", "totalTokens": 13655, "modelId": "grok-4.6", "inputTokens": 13582, "outputTokens": 66, "cachedReadTokens": 1152, "reasoningTokens": 52, "usage": { "inputTokens": 13582, "outputTokens": 66, "totalTokens": 13648, "cachedReadTokens": 1152, "cacheCreationTokens": 0, "reasoningTokens": 52, "modelCalls": 1, "apiDurationMs": 1915, "costUsdTicks": 87828800, "modelUsage": { "grok-4.6-build": { "inputTokens": 13582, "outputTokens": 66, "totalTokens": 13648, "cachedReadTokens": 1152, "cacheCreationTokens": 0, "reasoningTokens": 52, "modelCalls": 1, "apiDurationMs": 1915, "costUsdTicks": 87828800 } }, "numTurns": 1 } } } } }, { "time": "2026-10-24T23:33:51.051Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "update": { "sessionUpdate": "last_turn_summary", "summary": "EV20371_NATIVE_EXPANSION_7F2A token delivered as specified", "prompt_id": "t3-xai-prompt-1" }, "_meta": { "agentTimestampMs": 1792884831050 } } } }, { "time": "2026-10-24T23:33:55.494Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "update": { "sessionUpdate": "session_summary_generated", "session_summary": "EV-20371 Ticket Report Request" } } } }, { "time": "2026-10-24T23:33:55.495Z", "pid": 2107712, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9", "update": { "sessionUpdate": "session_info_update", "title": "EV-20371 Ticket Report Request" } } } }, { "time": "2026-10-24T23:36:55.875Z", "pid": 2107712, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "session/close", "params": { "sessionId": "01a17043-5bc2-7fb3-b474-1191d6e097c9" }, "id": 1073741827, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "d2ca9cbf55cf51a8", "sampled": true } }, { "time": "2026-10-24T23:36:57.905Z", "pid": 2107712, "provider": "grok", "kind": "exit", "data": { "code": 143, "signal": null } } ], "persistedRuns": [ { "id": "run:thread:dffc071f-b0c7-4810-9502-78ac2b046fe9:ordinal:1", "threadId": "dffc071f-b0c7-4810-9502-78ac2b046fe9", "ordinal": 1, "providerInstanceId": "grok", "modelSelection": { "instanceId": "grok", "model": "grok-4.6" }, "providerThreadId": "provider-thread:provider:grok:native-thread:pending%3Arun%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1", "userMessageId": "06ac1499-b648-49ae-b05f-2a60ed561750", "rootNodeId": "node:run:run%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1:root", "activeAttemptId": "run-attempt:run:run%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1:attempt:1", "status": "completed", "queuePosition": null, "requestedAt": "2026-10-24T23:33:44.235Z", "startedAt": "2026-10-24T23:33:45.343Z", "completedAt": "2026-10-24T23:33:49.492Z", "checkpointId": "checkpoint:scope:checkpoint-scope%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aname%3Aroot:name:1", "contextHandoffId": null } ], "persistedProviderTurns": [ { "id": "provider-turn:provider:grok:native-turn:provider-instance%3Agrok%3A01a17043-5bc2-7fb3-b474-1191d6e097c9%3Aturn%3A1", "providerThreadId": "provider-thread:provider:grok:native-thread:pending%3Arun%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1", "nodeId": "node:run:run%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1:root", "runAttemptId": "run-attempt:run:run%3Athread%3Adffc071f-b0c7-4810-9502-78ac2b046fe9%3Aordinal%3A1:attempt:1", "nativeTurnRef": { "driver": "grok", "nativeId": "01a17043-5bc2-7fb3-b474-1191d6e097c9:turn:1", "strength": "weak" }, "ordinal": 1, "status": "completed", "startedAt": "2026-10-24T23:33:46.725Z", "completedAt": "2026-10-24T23:33:49.406Z" } ] }, { "row": "R2", "phase": "after", "threadId": "1b2af6fe-70a7-4104-8349-4af5b468543a", "modelSelection": { "instanceId": "grok", "model": "grok-4.6" }, "text": "report $ev20371", "attachments": [], "tee": "tee-2108539.jsonl", "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "actualPrompt": { "jsonrpc": "2.0", "method": "session/prompt", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "prompt": [ { "type": "text", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\nreport $ev20371\n" }, { "type": "text", "text": "In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n" } ], "_meta": { "promptId": "t3-xai-prompt-1", "requestId": "t3-xai-prompt-1" } }, "id": 1073741826, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "56143bcb355cf733", "sampled": true }, "promptResponse": { "jsonrpc": "2.0", "id": 1073741826, "result": { "stopReason": "end_turn", "_meta": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "requestId": "t3-xai-prompt-1", "promptId": "t3-xai-prompt-1", "totalTokens": 33938, "modelId": "grok-4.6", "inputTokens": 33724, "outputTokens": 207, "cachedReadTokens": 33152, "reasoningTokens": 47, "usage": { "inputTokens": 103731, "outputTokens": 851, "totalTokens": 104582, "cachedReadTokens": 64000, "cacheCreationTokens": 0, "reasoningTokens": 438, "modelCalls": 4, "apiDurationMs": 17948, "costUsdTicks": 396331200, "modelUsage": { "grok-4.6-build": { "inputTokens": 103731, "outputTokens": 851, "totalTokens": 104582, "cachedReadTokens": 64000, "cacheCreationTokens": 0, "reasoningTokens": 438, "modelCalls": 4, "apiDurationMs": 17948, "costUsdTicks": 396331200 } }, "numTurns": 4 } } } }, "nativeHistory": [ { "type": "user", "content": [ { "type": "text", "text": "\n\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\nreport $ev20371\n In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n\n" } ], "prompt_index": 0 }, { "type": "assistant", "content": "I'll look up what `$ev20371` refers to in this workspace and gather the details for the report.", "tool_calls": [ { "id": "call-ea39ce25-198b-4cc5-b903-770eaee46b66-0", "name": "grep", "arguments": "{\"pattern\":\"ev20371\",\"head_limit\":50}" }, { "id": "call-ea39ce25-198b-4cc5-b903-770eaee46b66-1", "name": "list_dir", "arguments": "{\"target_directory\":\"/tmp/ev-20371-final/after/project\"}" }, { "id": "call-ea39ce25-198b-4cc5-b903-770eaee46b66-2", "name": "search_tool", "arguments": "{\"query\":\"html_preview html_render\",\"limit\":10}" } ], "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" }, { "type": "assistant", "content": "", "tool_calls": [ { "id": "call-d3597942-9043-43e9-bd17-bc767ee3ebb6-3", "name": "read_file", "arguments": "{\"target_file\":\"/tmp/ev-20371-final/after/project/attachment.txt\"}" }, { "id": "call-d3597942-9043-43e9-bd17-bc767ee3ebb6-4", "name": "list_dir", "arguments": "{\"target_directory\":\"/tmp/ev-20371-final\"}" }, { "id": "call-d3597942-9043-43e9-bd17-bc767ee3ebb6-5", "name": "grep", "arguments": "{\"pattern\":\"ev20371|EV-20371\",\"path\":\"/tmp\",\"head_limit\":50}" } ], "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" }, { "type": "assistant", "content": "The request is ordinary text (`report $ev20371`), so I\u2019ll read the local fixture and write a short report rather than treating it as a slash command.", "tool_calls": [ { "id": "call-ccc21d2f-1827-4101-9078-705bb480ab5b-6", "name": "read_file", "arguments": "{\"target_file\":\"/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md\"}" }, { "id": "call-ccc21d2f-1827-4101-9078-705bb480ab5b-7", "name": "list_dir", "arguments": "{\"target_directory\":\"/tmp/ev-20371-final/after/project/.grok\"}" } ], "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" }, { "type": "assistant", "content": "**ev20371** is a local Grok skill fixture at `.grok/skills/ev20371/SKILL.md`.\n\n- **Name:** `ev20371`\n- **Role:** Manual evidence fixture. It is not meant to run unless someone invokes it as a slash command (`/ev20371`).\n- **Flag:** `disable-model-invocation: true`\n- **On slash invoke:** reply with exactly `EV20371_NATIVE_EXPANSION_7F2A` and skip tools/file changes.\n\nThis turn is ordinary text (`report $ev20371`), so that slash body was not applied.\n\nWorkspace also has `attachment.txt` (`EV20371_ATTACHMENT_CONTENT harmless synthetic attachment.`) and a sibling skill `internal20371`.", "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" } ], "nativeHistorySource": [ "/tmp/ev-20371-final/after/provider-home/.grok/sessions/%2Ftmp%2Fev-20371-final%2Fafter%2Fproject/01a17043-7034-78a2-8d5e-75b0f1d0ddea/chat_history.jsonl" ], "protocol": [ { "time": "2026-10-24T23:33:49.873Z", "pid": 2108539, "provider": "grok", "kind": "spawn", "data": { "argv": [ "agent", "--always-approve", "stdio" ], "cwd": "/tmp/ev-20371-final/after/project", "real": "/home/ubuntu/.local/share/vite-plus/packages/@xai-official/grok/528b5b48-090b-4ae3-90d0-589ca5825843/lib/node_modules/@xai-official/grok/bin/grok-native" } }, { "time": "2026-10-24T23:33:49.885Z", "pid": 2108539, "provider": "grok", "kind": "credential-presence", "data": { "XAI_API_KEY": true } }, { "time": "2026-10-24T23:33:49.913Z", "pid": 2108539, "provider": "grok", "kind": "child", "data": { "pid": 2108576 } }, { "time": "2026-10-24T23:33:49.916Z", "pid": 2108539, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "initialize", "params": { "protocolVersion": 2, "info": { "name": "t3-code", "version": "0.0.0" }, "capabilities": { "elicitation": { "form": {} } }, "_meta": { "clientType": "extension" }, "clientCapabilities": { "fs": { "readTextFile": false, "writeTextFile": false }, "terminal": false, "elicitation": { "form": {} } }, "clientInfo": { "name": "t3-code", "version": "0.0.0" } }, "id": 1073741824, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "297cfa57094629f4", "sampled": true } }, { "time": "2026-10-24T23:33:50.235Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "id": 1073741824, "result": { "protocolVersion": 1, "agentCapabilities": { "loadSession": true, "promptCapabilities": { "image": true, "audio": false, "embeddedContext": true }, "mcpCapabilities": { "http": true, "sse": true }, "sessionCapabilities": { "list": {}, "resume": {}, "close": {} }, "auth": {}, "_meta": { "x.ai/fs_notify": true, "x.ai/hooks": { "blockingEvents": [ "pre_tool_use", "stop", "subagent_stop" ], "decisions": [ "deny", "block" ], "stopSignals": [ "continue", "stopReason", "additionalContext" ] }, "x.ai/capabilities": { "toolOverrides": { "x_keyword_search": true, "x_semantic_search": true, "x_user_search": false, "x_thread_fetch": false } } } }, "authMethods": [ { "id": "xai.api_key", "name": "xai.api_key", "description": "XAI_API_KEY or api_key/env_key in config.toml", "value": "[REDACTED]" }, { "id": "grok.com", "name": "Grok", "description": "Sign in with Grok" } ], "_meta": { "currentWorkingDirectory": "/tmp/ev-20371-final/after/project", "agentVersion": "1.0.67", "agentId": "5cfe6386-ddd2-5960-805a-406d2f4a41ce", "agentInstanceId": "5fd97694-6b3b-4429-957e-5ea689dd9f35", "hostname": "fs-08", "metadata": null, "grokShell": true, "defaultAuthMethodId": "xai.api_key", "x.ai/mcp/sdk": true, "x.ai/pluginDirs": true, "modelState": { "currentModelId": "grok-4.6", "availableModels": [ { "modelId": "callstack/Apex", "name": "Apex", "_meta": { "totalContextTokens": 262144, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260527", "name": "Apex-20260527", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260717", "name": "Apex-20260717", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260831", "name": "Apex-20260831", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "claude-3-5-haiku-20241022", "name": "Claude 3.5 Haiku", "_meta": { "totalContextTokens": 128000, "agentType": "grok-build-plan" } }, { "modelId": "claude-3-7-sonnet-20250219", "name": "Claude 3.7 Sonnet", "_meta": { "totalContextTokens": 128000, "agentType": "grok-build-plan" } }, { "modelId": "claude-fable-5", "name": "Claude Fable 5", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-fable-5-1", "name": "Claude Fable 5.1", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-haiku-4-5-20251001", "name": "Claude 4.5 Haiku", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-haiku-5-5", "name": "Claude Haiku 5.5", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-opus-4-1-20250805", "name": "Claude 4.1 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-20250514", "name": "Claude 4 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-5-20251101", "name": "Claude 4.5 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-6", "name": "Claude 4.6 Opus", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-opus-4-7", "name": "Claude Opus 4.7", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-opus-4-8", "name": "Claude Opus 4.8", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-opus-5", "name": "Claude Opus 5", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", 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"grok-4.20-multi-agent-0309", "category": "model", "label": "Grok 4.20 Multi Agent 0309", "selected": false }, { "id": "grok-4.3", "category": "model", "label": "Grok 4.3", "selected": false }, { "id": "grok-4.5", "category": "model", "label": "Grok 4.5", "selected": false }, { "id": "grok-4.7", "category": "model", "label": "Grok 4.7", "selected": false }, { "id": "grok-4.7-build-fast", "category": "model", "label": "Grok 4.7 Fast", "selected": false }, { "id": "grok-build-0.1", "category": "model", "label": "Grok Build 0.1", "selected": false }, { "id": "grok-composer-2.5-fast", "category": "model", "label": "Composer 2.5 Fast", "selected": false }, { "id": "grok-imagine-image", "category": "model", "label": "Grok Imagine Image", "selected": false }, { "id": "grok-imagine-image-2.0", "category": "model", "label": "Grok Imagine Image 2.0", "selected": false }, { "id": "grok-imagine-image-quality", "category": "model", "label": "Grok Imagine Image Quality", "selected": false }, { "id": "grok-imagine-video", "category": "model", "label": "Grok Imagine Video", "selected": false }, { "id": "grok-imagine-video-1.5", "category": "model", "label": "Grok Imagine Video 1.5", "selected": false }, { "id": "grok-imagine-video-1.5-lite", "category": "model", "label": "Grok Imagine Video 1.5 Lite", "selected": false }, { "id": "grok-imagine-video-1.5-preview", "category": "model", "label": "Grok Imagine Video 1.5 Preview", "selected": false }, { "id": "grok-tts", "category": "model", "label": "Grok TTS", "selected": false }, { "id": "grok-voice-tts-1.0", "category": "model", "label": "Grok Voice TTS 1.0", "selected": false }, { "id": "polaris-alpha", "category": "model", "label": "Polaris Alpha", "selected": false }, { "id": "quasar-alpha", "category": "model", "label": "Quasar Alpha", "selected": false }, { "id": "vega-alpha", "category": "model", "label": "Vega Alpha", "selected": false }, { "id": "wisp-alpha", "category": "model", "label": "Wisp Alpha", "selected": false }, { "id": "zenith-alpha", "category": "model", "label": "Zenith Alpha", "selected": false }, { "id": "grok-4.6", "category": "model", "label": "Grok 4.6", "selected": true }, { "id": "low", "category": "mode", "label": "Low", "selected": true }, { "id": "medium", "category": "mode", "label": "Medium", "selected": false }, { "id": "high", "category": "mode", "label": "High", "selected": false }, { "id": "xhigh", "category": "mode", "label": "X-High", "selected": false } ] }, "x.ai/sessionDetail": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "kind": "build", "cwd": "/tmp/ev-20371-final/after/project", "currentModelId": "grok-4.6" }, "x.ai/memoryNotesWritable": false } } } }, { "time": "2026-10-24T23:33:50.817Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "git_discovery", "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:50.821Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "finalize_response", "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:50.822Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 0, "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:50.822Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "tool_overrides", "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:50.822Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "response_ready", "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:50.822Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea-0", "agentTimestampMs": 1792884830814, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:33:50.823Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea-1", "agentTimestampMs": 1792884830823, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:33:51.188Z", "pid": 2108539, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "session/prompt", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "prompt": [ { "type": "text", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\nreport $ev20371\n" }, { "type": "text", "text": "In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n" } ], "_meta": { "promptId": "t3-xai-prompt-1", "requestId": "t3-xai-prompt-1" } }, "id": 1073741826, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "56143bcb355cf733", "sampled": true } }, { "time": "2026-10-24T23:33:51.193Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/sessions/changed", "params": { "upserted": [ { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "title": null, "cwd": "/tmp/ev-20371-final/after/project", "isWorktree": false, "modelId": "grok-4.6", "reasoningEffort": "low", "yolo": true, "activity": "working", "resident": true, "lastChangeUnixMs": 1792884831192, "origin": { "kind": "local" } } ], "removed": [] } } }, { "time": "2026-10-24T23:33:51.195Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "entries": [ { "id": "t3-xai-prompt-1", "version": 0, "kind": "prompt", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\nreport $ev20371\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "position": 0 } ] } } }, { "time": "2026-10-24T23:33:51.195Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "entries": [], "runningPromptId": "t3-xai-prompt-1", "runningText": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\nreport $ev20371\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "runningKind": "prompt" } } }, { "time": "2026-10-24T23:33:51.309Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/server_status", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "name": "t3-code", "source": "local", "status": "ready", "reason": "initialized", "tools": null } } }, { "time": "2026-10-24T23:33:51.383Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 1, "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea" } } }, { "time": "2026-10-24T23:33:51.387Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp_initialized", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "mcpToolCount": 83, "elapsedMs": 560 } } }, { "time": "2026-10-24T23:33:53.508Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "update": { "sessionUpdate": "agent_thought_chunk", "content": { "type": "text", "text": "I will report on $ev20371." } }, "_meta": { "totalTokens": 4423, "requestTrimmedTokens": 0, "eventId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea-5", "agentTimestampMs": 1792884833508, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884833441, "turnStartMs": 1792884831194, "updateType": "AgentThoughtChunk", "chunkId": 1 } } } }, { "time": "2026-10-24T23:33:53.513Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "update": { "sessionUpdate": "agent_message_chunk", "content": { "type": "text", "text": "I'll" } }, "_meta": { "totalTokens": 4423, "requestTrimmedTokens": 0, "eventId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea-6", "agentTimestampMs": 1792884833508, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884833441, "turnStartMs": 1792884831194, "updateType": "AgentMessageChunk", "chunkId": 2 } } } }, { "time": "2026-10-24T23:33:53.513Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea", "update": { "sessionUpdate": "agent_message_chunk", "content": { "type": "text", "text": " look" } }, "_meta": { "totalTokens": 4423, "requestTrimmedTokens": 0, "eventId": "01a17043-7034-78a2-8d5e-75b0f1d0ddea-7", "agentTimestampMs": 1792884833508, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884833441, "turnStartMs": 1792884831194, "updateType": "AgentMessageChunk", "chunkId": 3 } } } }, { "time": "2026-10-24T23:33:53.535Z", "pid": 2108539, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": 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\\n
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\\n
$25
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off
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\\n
\\n
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\\n
\\n
Save
\\n
$25
\\n
off
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\\n
\\n
SAVE25
\\n
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Use code at checkout. One per order.
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\\n
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"Kimi K2.6", "selected": false }, { "id": "devin/kimi-k2-7", "category": "model", "label": "Kimi K2.7", "selected": false }, { "id": "devin/kimi-k3", "category": "model", "label": "Kimi K3", "selected": false }, { "id": "devin/model_chat_gpt_4_1_2025_04_14", "category": "model", "label": "GPT-4.1", "selected": false }, { "id": "devin/model_claude_4_5_opus", "category": "model", "label": "Claude Opus 4.5", "selected": false }, { "id": "devin/model_google_gemini_3_0_flash", "category": "model", "label": "Gemini 3 Flash", "selected": false }, { "id": "devin/model_gpt_5_2", "category": "model", "label": "GPT-5.2", "selected": false }, { "id": "devin/model_private_11", "category": "model", "label": "Claude Haiku 4.5", "selected": false }, { "id": "devin/model_private_12", "category": "model", "label": "GPT-5.1", "selected": false }, { "id": "devin/model_private_13", "category": "model", "label": "GPT-5.1", "selected": false }, { "id": "devin/model_private_14", "category": "model", "label": "GPT-5.1", "selected": false }, { "id": "devin/model_private_15", "category": "model", "label": "GPT-5.1", "selected": false }, { "id": "devin/nemotron-3-ultra", "category": "model", "label": "Nemotron 3 Ultra", "selected": false }, { "id": "devin/swe-1-6", "category": "model", "label": "SWE-1.6", "selected": false }, { "id": "devin/swe-1-6-slow", "category": "model", "label": "SWE-1.6 Slow", "selected": false }, { "id": "devin/swe-1-7", "category": "model", "label": "SWE-1.7", "selected": false }, { "id": "devin/swe-1-7-lightning", "category": "model", "label": "SWE-1.7 Lightning", "selected": false }, { "id": "devin/swe-2", "category": "model", "label": "SWE-2", "selected": false }, { "id": "devin/swe-2-high-lightning", "category": "model", "label": "SWE-2 High Lightning", "selected": false }, { "id": "devin/swe-2-max-lightning", "category": "model", "label": "SWE-2 Max Lightning", "selected": false }, { "id": "devin/swe-2-medium-lightning", "category": "model", "label": "SWE-2 Medium Lightning", "selected": false }, { "id": "gpt-5.6-luna", "category": "model", "label": "GPT 5.6 Luna", "selected": false }, { "id": "gpt-5.6-sol", "category": "model", "label": "GPT 5.6 Sol", "selected": false }, { "id": "gpt-5.6-terra", "category": "model", "label": "GPT 5.6 Terra", "selected": false }, { "id": "gpt-6-astra", "category": "model", "label": "GPT 6.0 Astra", "selected": false }, { "id": "gpt-6-luna", "category": "model", "label": "GPT 6.0 Luna", "selected": false }, { "id": "gpt-6-sol", "category": "model", "label": "GPT 6.0 Sol", "selected": false }, { "id": "gpt-6.1-sol", "category": "model", "label": "GPT 6.1 Sol", "selected": false }, { "id": "gpt-image-1.5", "category": "model", "label": "GPT Image 1.5", "selected": false }, { "id": "gpt-image-2", "category": "model", "label": "GPT Image 2", "selected": false }, { "id": "gpt-image-2.5", "category": "model", "label": "GPT Image 2.5", "selected": false }, { "id": "gpt-image-2.5-flare", "category": "model", "label": "GPT Image 2.5 Flare", "selected": false }, { "id": "gpt-image-2.5-sunburst", "category": "model", "label": "GPT Image 2.5 Sunburst", "selected": false }, { "id": "grok-3-mini", "category": "model", "label": "Grok 3 Mini", "selected": false }, { "id": "grok-3-mini-fast", "category": "model", "label": "Grok 3 Mini Fast", "selected": false }, { "id": "grok-4.20-0309-non-reasoning", "category": "model", "label": "Grok 4.20 0309 Non Reasoning", "selected": false }, { "id": "grok-4.20-0309-reasoning", "category": "model", "label": "Grok 4.20 0309 Reasoning", "selected": false }, { "id": "grok-4.20-multi-agent-0309", "category": "model", "label": "Grok 4.20 Multi Agent 0309", "selected": false }, { "id": "grok-4.3", "category": "model", "label": "Grok 4.3", "selected": false }, { "id": "grok-4.5", "category": "model", "label": "Grok 4.5", "selected": false }, { "id": "grok-4.7", "category": "model", "label": "Grok 4.7", "selected": false }, { "id": "grok-4.7-build-fast", "category": "model", "label": "Grok 4.7 Fast", "selected": false }, { "id": "grok-build-0.1", "category": "model", "label": "Grok Build 0.1", "selected": false }, { "id": "grok-composer-2.5-fast", "category": "model", "label": "Composer 2.5 Fast", "selected": false }, { "id": "grok-imagine-image", "category": "model", "label": "Grok Imagine Image", "selected": false }, { "id": "grok-imagine-image-2.0", "category": "model", "label": "Grok Imagine Image 2.0", "selected": false }, { "id": "grok-imagine-image-quality", "category": "model", "label": "Grok Imagine Image Quality", "selected": false }, { "id": "grok-imagine-video", "category": "model", "label": "Grok Imagine Video", "selected": false }, { "id": "grok-imagine-video-1.5", "category": "model", "label": "Grok Imagine Video 1.5", "selected": false }, { "id": "grok-imagine-video-1.5-lite", "category": "model", "label": "Grok Imagine Video 1.5 Lite", "selected": false }, { "id": "grok-imagine-video-1.5-preview", "category": "model", "label": "Grok Imagine Video 1.5 Preview", "selected": false }, { "id": "grok-tts", "category": "model", "label": "Grok TTS", "selected": false }, { "id": "grok-voice-tts-1.0", "category": "model", "label": "Grok Voice TTS 1.0", "selected": false }, { "id": "polaris-alpha", "category": "model", "label": "Polaris Alpha", "selected": false }, { "id": "quasar-alpha", "category": "model", "label": "Quasar Alpha", "selected": false }, { "id": "vega-alpha", "category": "model", "label": "Vega Alpha", "selected": false }, { "id": "wisp-alpha", "category": "model", "label": "Wisp Alpha", "selected": false }, { "id": "zenith-alpha", "category": "model", "label": "Zenith Alpha", "selected": false }, { "id": "grok-4.6", "category": "model", "label": "Grok 4.6", "selected": true }, { "id": "low", "category": "mode", "label": "Low", "selected": true }, { "id": "medium", "category": "mode", "label": "Medium", "selected": false }, { "id": "high", "category": "mode", "label": "High", "selected": false }, { "id": "xhigh", "category": "mode", "label": "X-High", "selected": false } ] }, "x.ai/sessionDetail": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "kind": "build", "cwd": "/tmp/ev-20371-final/after/project", "currentModelId": "grok-4.6" }, "x.ai/memoryNotesWritable": false } } } }, { "time": "2026-10-24T23:34:57.646Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "git_discovery", "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:57.646Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "finalize_response", "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:57.646Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "tool_overrides", "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:57.647Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "response_ready", "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:57.650Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 0, "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:57.650Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b-0", "agentTimestampMs": 1792884897635, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:34:57.650Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b-1", "agentTimestampMs": 1792884897639, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:34:57.962Z", "pid": 2113620, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "session/prompt", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "prompt": [ { "type": "text", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$25 off\n" }, { "type": "text", "text": "In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n" } ], "_meta": { "promptId": "t3-xai-prompt-1", "requestId": "t3-xai-prompt-1" } }, "id": 1073741826, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "cd39801dbdaa5ee2", "sampled": true } }, { "time": "2026-10-24T23:34:57.974Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/sessions/changed", "params": { "upserted": [ { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "title": null, "cwd": "/tmp/ev-20371-final/after/project", "isWorktree": false, "modelId": "grok-4.6", "reasoningEffort": "low", "yolo": true, "activity": "working", "resident": true, "lastChangeUnixMs": 1792884897967, "origin": { "kind": "local" } } ], "removed": [] } } }, { "time": "2026-10-24T23:34:57.979Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "entries": [ { "id": "t3-xai-prompt-1", "version": 0, "kind": "prompt", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$25 off\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "position": 0 } ] } } }, { "time": "2026-10-24T23:34:57.980Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "entries": [], "runningPromptId": "t3-xai-prompt-1", "runningText": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$25 off\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "runningKind": "prompt" } } }, { "time": "2026-10-24T23:34:58.167Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/server_status", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "name": "t3-code", "source": "local", "status": "ready", "reason": "initialized", "tools": null } } }, { "time": "2026-10-24T23:34:58.224Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 1, "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" } } }, { "time": "2026-10-24T23:34:58.230Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp_initialized", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "mcpToolCount": 83, "elapsedMs": 565 } 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Use it to check and iterate on a page before html_render. The first preview on a machine can report that T3 is still installing its preview browser; call again a minute later. Write one self-contained document with inline \\n
\\n
\\n
Save
\\n
$25
\\n
off
\\n
\\n
\\n
SAVE25
\\n
Fixed $25 discount
\\n
Use code at checkout. One per order.
\\n
\\n
\\n\",\"width\":728,\"appearance\":\"dark\"}}" } } } }, { "time": "2026-10-24T23:35:15.831Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. 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\n
\n
Save
\n
$25
\n
off
\n
\n
\n
SAVE25
\n
Fixed $25 discount
\n
Use code at checkout. One per order.
\n
\n
\n", "width": 728, "appearance": "dark" } }, "_meta": { "x.ai/tool": { "version": 1, "name": "use_tool", "kind": "use_tool", "namespace": "grok_build", "label": "Use Tool", "read_only": false } } }, "_meta": { "totalTokens": 27747, "requestTrimmedTokens": 0, "eventId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b-66", "agentTimestampMs": 1792884915830, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884907696, "turnStartMs": 1792884897975, "updateType": "ToolCall", "updateParams": { "toolCallId": "call-9a34157d-b5e1-474c-a467-2b1e3e5d9d31-4", "title": "use_tool", "kind": "Other", "status": "Pending" } } } } }, { "time": "2026-10-24T23:35:15.831Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "pending_interaction", "tool_call_id": "call-9a34157d-b5e1-474c-a467-2b1e3e5d9d31-4", "kind": "permission" } } } }, { "time": "2026-10-24T23:35:15.831Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "tool_call_update", "toolCallId": "call-9a34157d-b5e1-474c-a467-2b1e3e5d9d31-4", "kind": "other", "title": "t3-code__html_preview", "locations": [], "rawInput": { "variant": "UseTool", "tool_name": "t3-code__html_preview", "tool_input": { "html": "\n
\n
\n
Save
\n
$25
\n
off
\n
\n
\n
SAVE25
\n
Fixed $25 discount
\n
Use code at checkout. One per order.
\n
\n
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\n
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Save
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$25
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off
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SAVE25
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"/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write", "t3-code__preview_dialog", "t3-code__preview_status", "t3-code__preview_open", "t3-code__preview_navigate", "t3-code__preview_resize", "t3-code__preview_set_appearance", "t3-code__preview_click", "t3-code__preview_type", "t3-code__preview_hover", "t3-code__preview_select", "t3-code__preview_drag", "t3-code__preview_upload", "t3-code__preview_press", "t3-code__preview_scroll", "t3-code__preview_evaluate", "t3-code__preview_wait_for", "t3-code__preview_recording_start", "t3-code__preview_recording_stop", "t3-code__preview_snapshot", "t3-code__orchestrator_capabilities", "t3-code__delegate_task", "t3-code__task_status", "t3-code__task_cancel", "t3-code__t3_workflow_stop", "t3-code__schedule_task", "t3-code__list_scheduled_tasks", "t3-code__update_scheduled_task", "t3-code__delete_scheduled_task", "t3-code__request_secret", "t3-code__create_threads", "t3-code__t3_thread_list", "t3-code__t3_thread_read", "t3-code__t3_thread_update", "t3-code__t3_thread_send", "t3-code__t3_thread_wait", "t3-code__t3_thread_interrupt", "t3-code__run_scheduled_task_now", "t3-code__t3_thread_search", "t3-code__t3_thread_fork", "t3-code__t3_thread_merge_back", "t3-code__t3_thread_transfers", "t3-code__t3_thread_configuration", "t3-code__t3_thread_configure", "t3-code__t3_pending_request_list", "t3-code__t3_pending_request_read", "t3-code__t3_pending_request_respond", "t3-code__t3_thread_organize", "t3-code__t3_queue_list", "t3-code__t3_queue_read", "t3-code__t3_queue_edit", "t3-code__t3_queue_cancel", "t3-code__t3_queue_reorder", "t3-code__t3_queue_promote_to_steer", "t3-code__t3_attachment_prepare_upload", "t3-code__t3_attachment_discard", "t3-code__t3_thread_send_attachments", "t3-code__t3_thread_launch", "t3-code__t3_project_list", "t3-code__t3_project_read", "t3-code__t3_project_create", "t3-code__t3_project_update", "t3-code__t3_project_delete", "t3-code__t3_project_clone", "t3-code__t3_environment_read", "t3-code__t3_environment_preferences_update", "t3-code__t3_preview_list", "t3-code__t3_preview_close", "t3-code__t3_worktree_handoff", "t3-code__t3_worktree_status", "t3-code__t3_worktree_list", "t3-code__link_pull_request", "t3-code__unlink_pull_request", "t3-code__list_thread_pull_requests", "t3-code__watch_pull_request", "t3-code__unwatch_pull_request", "t3-code__write_pull_request_guides", "t3-code__read_pull_request_guide", "t3-code__device_list", "t3-code__device_open", "t3-code__device_close", "t3-code__device_screenshot", "t3-code__html_render", "t3-code__html_preview" ] } }, "_meta": { "totalTokens": 28823, "requestTrimmedTokens": 0, "eventId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b-116", "agentTimestampMs": 1792884934432, "promptId": "t3-xai-prompt-1", "streamStartMs": 1792884933922, "turnStartMs": 1792884897975, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:35:34.433Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "response_completed", "usage": { "input_tokens": 863, "output_tokens": 49, "cache_read_input_tokens": 27904, "cache_creation_input_tokens": 0, "reasoning_tokens": 11 }, "signature": "[REDACTED]" } } } }, { "time": "2026-10-24T23:35:34.458Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "entries": [] } } }, { "time": "2026-10-24T23:35:34.458Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "turn_completed", "prompt_id": "t3-xai-prompt-1", "stop_reason": "end_turn", "usage": { "inputTokens": 126510, "outputTokens": 1705, "totalTokens": 128215, "cachedReadTokens": 91776, "cacheCreationTokens": 0, "reasoningTokens": 194, "modelCalls": 5, "apiDurationMs": 27417, "costUsdTicks": 426992400, "modelUsage": { "grok-4.6-build": { "inputTokens": 126510, "outputTokens": 1705, "totalTokens": 128215, "cachedReadTokens": 91776, "cacheCreationTokens": 0, "reasoningTokens": 194, "modelCalls": 5, "apiDurationMs": 27417, "costUsdTicks": 426992400 } }, "numTurns": 5 }, "elapsed_ms": 36481 }, "_meta": { "eventId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b-119", "agentTimestampMs": 1792884934457 } } } }, { "time": "2026-10-24T23:35:34.460Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/prompt_complete", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "promptId": "t3-xai-prompt-1", "stopReason": "end_turn", "agentResult": null } } }, { "time": "2026-10-24T23:35:34.460Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/sessions/changed", "params": { "upserted": [ { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "title": null, "cwd": "/tmp/ev-20371-final/after/project", "isWorktree": false, "modelId": "grok-4.6", "reasoningEffort": "low", "yolo": true, "activity": "idle", "resident": true, "lastChangeUnixMs": 1792884934460, "origin": { "kind": "local" } } ], "removed": [] } } }, { "time": "2026-10-24T23:35:34.463Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "id": 1073741826, "result": { "stopReason": "end_turn", "_meta": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "requestId": "t3-xai-prompt-1", "promptId": "t3-xai-prompt-1", "totalTokens": 28823, "modelId": "grok-4.6", "inputTokens": 28767, "outputTokens": 49, "cachedReadTokens": 27904, "reasoningTokens": 11, "usage": { "inputTokens": 126510, "outputTokens": 1705, "totalTokens": 128215, "cachedReadTokens": 91776, "cacheCreationTokens": 0, "reasoningTokens": 194, "modelCalls": 5, "apiDurationMs": 27417, "costUsdTicks": 426992400, "modelUsage": { "grok-4.6-build": { "inputTokens": 126510, "outputTokens": 1705, "totalTokens": 128215, "cachedReadTokens": 91776, "cacheCreationTokens": 0, "reasoningTokens": 194, "modelCalls": 5, "apiDurationMs": 27417, "costUsdTicks": 426992400 } }, "numTurns": 5 } } } } }, { "time": "2026-10-24T23:35:35.871Z", "pid": 2113620, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session_notification", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b", "update": { "sessionUpdate": "last_turn_summary", "summary": "SAVE25: $25 off checkout, one use per order", "prompt_id": "t3-xai-prompt-1" }, "_meta": { "agentTimestampMs": 1792884935871 } } } }, { "time": "2026-10-24T23:36:55.888Z", "pid": 2113620, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "session/close", "params": { "sessionId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b" }, "id": 1073741827, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "b6cf7ddaf98dc7ea", "sampled": true } }, { "time": "2026-10-24T23:36:57.876Z", "pid": 2113620, "provider": "grok", "kind": "exit", "data": { "code": 143, "signal": null } } ], "persistedRuns": [ { "id": "run:thread:24453cad-5aab-472b-a90c-cf51ff697d29:ordinal:1", "threadId": "24453cad-5aab-472b-a90c-cf51ff697d29", "ordinal": 1, "providerInstanceId": "grok", "modelSelection": { "instanceId": "grok", "model": "grok-4.6" }, "providerThreadId": "provider-thread:provider:grok:native-thread:pending%3Arun%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1", "userMessageId": "2a2008e8-c9ce-4499-86da-dedd0cda96bc", "rootNodeId": "node:run:run%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1:root", "activeAttemptId": "run-attempt:run:run%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1:attempt:1", "status": "completed", "queuePosition": null, "requestedAt": "2026-10-24T23:34:56.976Z", "startedAt": "2026-10-24T23:34:57.691Z", "completedAt": "2026-10-24T23:35:34.518Z", "checkpointId": "checkpoint:scope:checkpoint-scope%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aname%3Aroot:name:1", "contextHandoffId": null } ], "persistedProviderTurns": [ { "id": "provider-turn:provider:grok:native-turn:provider-instance%3Agrok%3A01a17044-76fc-7c50-86ea-e5c3ac46ef2b%3Aturn%3A1", "providerThreadId": "provider-thread:provider:grok:native-thread:pending%3Arun%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1", "nodeId": "node:run:run%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1:root", "runAttemptId": "run-attempt:run:run%3Athread%3A24453cad-5aab-472b-a90c-cf51ff697d29%3Aordinal%3A1:attempt:1", "nativeTurnRef": { "driver": "grok", "nativeId": "01a17044-76fc-7c50-86ea-e5c3ac46ef2b:turn:1", "strength": "weak" }, "ordinal": 1, "status": "completed", "startedAt": "2026-10-24T23:34:57.943Z", "completedAt": "2026-10-24T23:35:34.462Z" } ] }, { "row": "R7p", "phase": "after", "threadId": "e651a7e8-e40f-4129-84bd-05e16472a508", "modelSelection": { "instanceId": "grok", "model": "grok-4.6" }, "text": "$ev20371, report", "attachments": [], "tee": "tee-2114520.jsonl", "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "actualPrompt": { "jsonrpc": "2.0", "method": "session/prompt", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "prompt": [ { "type": "text", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$ev20371, report\n" }, { "type": "text", "text": "In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n" } ], "_meta": { "promptId": "t3-xai-prompt-1", "requestId": "t3-xai-prompt-1" } }, "id": 1073741826, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "e1165e4eea9a9bd2", "sampled": true }, "promptResponse": { "jsonrpc": "2.0", "id": 1073741826, "result": { "stopReason": "end_turn", "_meta": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "requestId": "t3-xai-prompt-1", "promptId": "t3-xai-prompt-1", "totalTokens": 20855, "modelId": "grok-4.6", "inputTokens": 20781, "outputTokens": 67, "cachedReadTokens": 20608, "reasoningTokens": 53, "usage": { "inputTokens": 57629, "outputTokens": 251, "totalTokens": 57880, "cachedReadTokens": 45952, "cacheCreationTokens": 0, "reasoningTokens": 94, "modelCalls": 3, "apiDurationMs": 5416, "costUsdTicks": 162642400, "modelUsage": { "grok-4.6-build": { "inputTokens": 57629, "outputTokens": 251, "totalTokens": 57880, "cachedReadTokens": 45952, "cacheCreationTokens": 0, "reasoningTokens": 94, "modelCalls": 3, "apiDurationMs": 5416, "costUsdTicks": 162642400 } }, "numTurns": 3 } } } }, "nativeHistory": [ { "type": "user", "content": [ { "type": "text", "text": "\n\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$ev20371, report\n In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n\n" } ], "prompt_index": 0 }, { "type": "assistant", "content": "I'll look through the workspace and any eval notes so I can write the $ev20371 report.", "tool_calls": [ { "id": "call-d410e450-0235-4096-9262-b309379570b6-0", "name": "list_dir", "arguments": "{\"target_directory\":\"/tmp/ev-20371-final/after/project\"}" }, { "id": "call-d410e450-0235-4096-9262-b309379570b6-1", "name": "grep", "arguments": "{\"pattern\":\"ev20371\",\"glob\":\"*\"}" }, { "id": "call-d410e450-0235-4096-9262-b309379570b6-2", "name": "search_tool", "arguments": "{\"query\":\"html_preview html_render\",\"limit\":10}" } ], "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" }, { "type": "assistant", "content": "", "tool_calls": [ { "id": "call-de8ffaa9-4e4c-4cb9-a160-f7bd92196675-3", "name": "read_file", "arguments": "{\"target_file\":\"/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md\"}" }, { "id": "call-de8ffaa9-4e4c-4cb9-a160-f7bd92196675-4", "name": "read_file", "arguments": "{\"target_file\":\"/tmp/ev-20371-final/after/project/attachment.txt\"}" } ], "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" }, { "type": "assistant", "content": "EV20371_NATIVE_EXPANSION_7F2A", "model_id": "grok-4.6-build", "model_fingerprint": "fp_08d0bc26c22b024e", "reasoning_effort": "low" } ], "nativeHistorySource": [ "/tmp/ev-20371-final/after/provider-home/.grok/sessions/%2Ftmp%2Fev-20371-final%2Fafter%2Fproject/01a17045-0dcb-7933-af1f-7d1dc84f074a/chat_history.jsonl" ], "protocol": [ { "time": "2026-10-24T23:35:35.775Z", "pid": 2114520, "provider": "grok", "kind": "spawn", "data": { "argv": [ "agent", "--always-approve", "stdio" ], "cwd": "/tmp/ev-20371-final/after/project", "real": "/home/ubuntu/.local/share/vite-plus/packages/@xai-official/grok/528b5b48-090b-4ae3-90d0-589ca5825843/lib/node_modules/@xai-official/grok/bin/grok-native" } }, { "time": "2026-10-24T23:35:35.776Z", "pid": 2114520, "provider": "grok", "kind": "credential-presence", "data": { "XAI_API_KEY": true } }, { "time": "2026-10-24T23:35:35.782Z", "pid": 2114520, "provider": "grok", "kind": "child", "data": { "pid": 2114532 } }, { "time": "2026-10-24T23:35:35.784Z", "pid": 2114520, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "initialize", "params": { "protocolVersion": 2, "info": { "name": "t3-code", "version": "0.0.0" }, "capabilities": { "elicitation": { "form": {} } }, "_meta": { "clientType": "extension" }, "clientCapabilities": { "fs": { "readTextFile": false, "writeTextFile": false }, "terminal": false, "elicitation": { "form": {} } }, "clientInfo": { "name": "t3-code", "version": "0.0.0" } }, "id": 1073741824, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "fc05e082d624a350", "sampled": true } }, { "time": "2026-10-24T23:35:36.130Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "id": 1073741824, "result": { "protocolVersion": 1, "agentCapabilities": { "loadSession": true, "promptCapabilities": { "image": true, "audio": false, "embeddedContext": true }, "mcpCapabilities": { "http": true, "sse": true }, "sessionCapabilities": { "list": {}, "resume": {}, "close": {} }, "auth": {}, "_meta": { "x.ai/fs_notify": true, "x.ai/hooks": { "blockingEvents": [ "pre_tool_use", "stop", "subagent_stop" ], "decisions": [ "deny", "block" ], "stopSignals": [ "continue", "stopReason", "additionalContext" ] }, "x.ai/capabilities": { "toolOverrides": { "x_keyword_search": true, "x_semantic_search": true, "x_user_search": false, "x_thread_fetch": false } } } }, "authMethods": [ { "id": "xai.api_key", "name": "xai.api_key", "description": "XAI_API_KEY or api_key/env_key in config.toml", "value": "[REDACTED]" }, { "id": "grok.com", "name": "Grok", "description": "Sign in with Grok" } ], "_meta": { "currentWorkingDirectory": "/tmp/ev-20371-final/after/project", "agentVersion": "1.0.67", "agentId": "5cfe6386-ddd2-5960-805a-406d2f4a41ce", "agentInstanceId": "53e9f4e0-3a76-48d4-b8d0-a9db1c6b2973", "hostname": "fs-08", "metadata": null, "grokShell": true, "defaultAuthMethodId": "xai.api_key", "x.ai/mcp/sdk": true, "x.ai/pluginDirs": true, "modelState": { "currentModelId": "grok-4.6", "availableModels": [ { "modelId": "callstack/Apex", "name": "Apex", "_meta": { "totalContextTokens": 262144, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260527", "name": "Apex-20260527", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260717", "name": "Apex-20260717", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "callstack/Apex-20260831", "name": "Apex-20260831", "_meta": { "totalContextTokens": 256000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "medium", "reasoningEfforts": [ { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false } ] } }, { "modelId": "claude-3-5-haiku-20241022", "name": "Claude 3.5 Haiku", "_meta": { "totalContextTokens": 128000, "agentType": "grok-build-plan" } }, { "modelId": "claude-3-7-sonnet-20250219", "name": "Claude 3.7 Sonnet", "_meta": { "totalContextTokens": 128000, "agentType": "grok-build-plan" } }, { "modelId": "claude-fable-5", "name": "Claude Fable 5", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-fable-5-1", "name": "Claude Fable 5.1", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-haiku-4-5-20251001", "name": "Claude 4.5 Haiku", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-haiku-5-5", "name": "Claude Haiku 5.5", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, "default": false }, { "id": "medium", "value": "medium", "label": "Medium", "description": null, "default": false }, { "id": "high", "value": "high", "label": "High", "description": null, "default": false }, { "id": "xhigh", "value": "xhigh", "label": "X-High", "description": null, "default": false }, { "id": "max", "value": "max", "label": "Max", "description": null, "default": false } ] } }, { "modelId": "claude-opus-4-1-20250805", "name": "Claude 4.1 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-20250514", "name": "Claude 4 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-5-20251101", "name": "Claude 4.5 Opus", "_meta": { "totalContextTokens": 200000, "agentType": "grok-build-plan" } }, { "modelId": "claude-opus-4-6", "name": "Claude 4.6 Opus", "_meta": { "totalContextTokens": 1000000, "agentType": "grok-build-plan", "supportsReasoningEffort": true, "reasoningEffort": "low", "reasoningEfforts": [ { "id": "low", "value": "low", "label": "Low", "description": null, 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"category": "model", "label": "GPT 6.1 Sol", "selected": false }, { "id": "gpt-image-1.5", "category": "model", "label": "GPT Image 1.5", "selected": false }, { "id": "gpt-image-2", "category": "model", "label": "GPT Image 2", "selected": false }, { "id": "gpt-image-2.5", "category": "model", "label": "GPT Image 2.5", "selected": false }, { "id": "gpt-image-2.5-flare", "category": "model", "label": "GPT Image 2.5 Flare", "selected": false }, { "id": "gpt-image-2.5-sunburst", "category": "model", "label": "GPT Image 2.5 Sunburst", "selected": false }, { "id": "grok-3-mini", "category": "model", "label": "Grok 3 Mini", "selected": false }, { "id": "grok-3-mini-fast", "category": "model", "label": "Grok 3 Mini Fast", "selected": false }, { "id": "grok-4.20-0309-non-reasoning", "category": "model", "label": "Grok 4.20 0309 Non Reasoning", "selected": false }, { "id": "grok-4.20-0309-reasoning", "category": "model", "label": "Grok 4.20 0309 Reasoning", "selected": false }, { "id": "grok-4.20-multi-agent-0309", "category": "model", "label": "Grok 4.20 Multi Agent 0309", "selected": false }, { "id": "grok-4.3", "category": "model", "label": "Grok 4.3", "selected": false }, { "id": "grok-4.5", "category": "model", "label": "Grok 4.5", "selected": false }, { "id": "grok-4.7", "category": "model", "label": "Grok 4.7", "selected": false }, { "id": "grok-4.7-build-fast", "category": "model", "label": "Grok 4.7 Fast", "selected": false }, { "id": "grok-build-0.1", "category": "model", "label": "Grok Build 0.1", "selected": false }, { "id": "grok-composer-2.5-fast", "category": "model", "label": "Composer 2.5 Fast", "selected": false }, { "id": "grok-imagine-image", "category": "model", "label": "Grok Imagine Image", "selected": false }, { "id": "grok-imagine-image-2.0", "category": "model", "label": "Grok Imagine Image 2.0", "selected": false }, { "id": "grok-imagine-image-quality", "category": "model", "label": "Grok Imagine Image Quality", "selected": false }, { "id": "grok-imagine-video", "category": "model", "label": "Grok Imagine Video", "selected": false }, { "id": "grok-imagine-video-1.5", "category": "model", "label": "Grok Imagine Video 1.5", "selected": false }, { "id": "grok-imagine-video-1.5-lite", "category": "model", "label": "Grok Imagine Video 1.5 Lite", "selected": false }, { "id": "grok-imagine-video-1.5-preview", "category": "model", "label": "Grok Imagine Video 1.5 Preview", "selected": false }, { "id": "grok-tts", "category": "model", "label": "Grok TTS", "selected": false }, { "id": "grok-voice-tts-1.0", "category": "model", "label": "Grok Voice TTS 1.0", "selected": false }, { "id": "polaris-alpha", "category": "model", "label": "Polaris Alpha", "selected": false }, { "id": "quasar-alpha", "category": "model", "label": "Quasar Alpha", "selected": false }, { "id": "vega-alpha", "category": "model", "label": "Vega Alpha", "selected": false }, { "id": "wisp-alpha", "category": "model", "label": "Wisp Alpha", "selected": false }, { "id": "zenith-alpha", "category": "model", "label": "Zenith Alpha", "selected": false }, { "id": "grok-4.6", "category": "model", "label": "Grok 4.6", "selected": true }, { "id": "low", "category": "mode", "label": "Low", "selected": true }, { "id": "medium", "category": "mode", "label": "Medium", "selected": false }, { "id": "high", "category": "mode", "label": "High", "selected": false }, { "id": "xhigh", "category": "mode", "label": "X-High", "selected": false } ] }, "x.ai/sessionDetail": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "kind": "build", "cwd": "/tmp/ev-20371-final/after/project", "currentModelId": "grok-4.6" }, "x.ai/memoryNotesWritable": false } } } }, { "time": "2026-10-24T23:35:36.217Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "git_discovery", "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.228Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "finalize_response", "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.228Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "tool_overrides", "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.229Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/session/setup", "params": { "method": "session/new", "phase": "response_ready", "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.229Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 0, "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.230Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17045-0dcb-7933-af1f-7d1dc84f074a-0", "agentTimestampMs": 1792884936218, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:35:36.231Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "update": { "sessionUpdate": "available_commands_update", "availableCommands": [ { "name": "compact", "description": "Compress conversation history to save context window", "input": null }, { "name": "always-approve", "description": "Toggle always-approve mode (skip all permission prompts)", "input": { "hint": "on|off" } }, { "name": "context", "description": "Show context window usage and session stats", "input": null }, { "name": "session-info", "description": "Show session details (model, turns, context usage)", "input": null }, { "name": "feedback", "description": "Send feedback about the current session", "input": { "hint": "feedback text" } }, { "name": "deep-research", "description": "Research with bounded parallel agents, cross-check evidence, and write a cited report", "input": { "hint": "" }, "_meta": { "workflowSource": "builtin", "workflowPath": "/buildkite/builds/buildkite-agent-ci-cpu-cuda-xlarge-84697955c7-s26dw-1/xai/spacexai-checks/crates/codegen/xai-grok-shell/src/session/workflows/deep_research.rhai" } }, { "name": "workflow", "description": "Launch a saved workflow, list runs, or manage a run (pause, resume, stop, save)", "input": { "hint": " [--agent-budget N] [--effort LEVEL] [args] | runs | pause|resume|stop|save [name]" } }, { "name": "goal", "description": "Set, manage, or check an autonomous goal", "input": { "hint": " [--budget ] | status | pause | resume | clear" } }, { "name": "loop", "description": "Run a prompt on a recurring interval", "input": { "hint": "[interval] " } }, { "name": "ev20371", "description": "Manual evidence fixture. Do not use unless explicitly invoked as a slash command.", "input": null, "_meta": { "scope": "local", "path": "/tmp/ev-20371-final/after/project/.grok/skills/ev20371/SKILL.md", "bareName": "ev20371", "qualifiedName": "local:ev20371" } } ], "_meta": { "tools": [ "run_terminal_command", "read_file", "search_replace", "list_dir", "grep", "kill_command_or_subagent", "todo_write", "get_command_or_subagent_output", "spawn_subagent", "scheduler_create", "scheduler_delete", "scheduler_list", "monitor", "search_tool", "use_tool", "workflow", "enter_plan_mode", "exit_plan_mode", "ask_user_question", "send_feedback", "web_search", "image_gen", "image_edit", "image_to_video", "reference_to_video", "write" ] } }, "_meta": { "totalTokens": 1332, "requestTrimmedTokens": 0, "eventId": "01a17045-0dcb-7933-af1f-7d1dc84f074a-1", "agentTimestampMs": 1792884936221, "updateType": "AvailableCommandsUpdate", "updateParams": { "commandsCount": 10 } } } } }, { "time": "2026-10-24T23:35:36.871Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/server_status", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "name": "t3-code", "source": "local", "status": "ready", "reason": "initialized", "tools": null } } }, { "time": "2026-10-24T23:35:36.910Z", "pid": 2114520, "provider": "grok", "kind": "in", "data": { "jsonrpc": "2.0", "method": "session/prompt", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "prompt": [ { "type": "text", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$ev20371, report\n" }, { "type": "text", "text": "In case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n" } ], "_meta": { "promptId": "t3-xai-prompt-1", "requestId": "t3-xai-prompt-1" } }, "id": 1073741826, "traceId": "b64ab033c86a944e20d5bfe00bc87525", "spanId": "e1165e4eea9a9bd2", "sampled": true } }, { "time": "2026-10-24T23:35:36.915Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/sessions/changed", "params": { "upserted": [ { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "title": null, "cwd": "/tmp/ev-20371-final/after/project", "isWorktree": false, "modelId": "grok-4.6", "reasoningEffort": "low", "yolo": true, "activity": "working", "resident": true, "lastChangeUnixMs": 1792884936915, "origin": { "kind": "local" } } ], "removed": [] } } }, { "time": "2026-10-24T23:35:36.919Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "entries": [ { "id": "t3-xai-prompt-1", "version": 0, "kind": "prompt", "text": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$ev20371, report\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "position": 0 } ] } } }, { "time": "2026-10-24T23:35:36.919Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/queue/changed", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "entries": [], "runningPromptId": "t3-xai-prompt-1", "runningText": "\n## T3 Code interaction mode: Default\n\nPrefer making reasonable assumptions and carrying out the user's request. Ask a concise question only when a missing user decision would materially change the result. Treat this mode as active until T3 Code supplies a different interaction-mode instruction.\n\n## T3 Code collaborative browser\n\nYou are running inside T3 Code. The `t3-code` MCP server is the product-native collaborative browser shared with the user. When it exposes `preview_*` tools, prefer those tools for browser navigation, inspection, interaction, screenshots, and recordings.\n\nFor browser work, first call `preview_status`. If no automation-capable preview is attached, call `preview_open` before concluding that the browser is unavailable. Then use `preview_navigate`, `preview_snapshot`, and the focused interaction tools. Prefer snapshot-provided locators over coordinates.\n\n`preview_status` lists every browser tab in this thread, including tabs the user opened. When the user asks about \"this page\" or a page they have open, read their tab: pass its `tabId` to `preview_snapshot` or `preview_wait_for`, or omit `tabId` when you have no tab of your own. You may act on the user's tab, including `preview_evaluate`, only while its owner is `unclaimed`; while it is `human`, the user is driving, so read it with `preview_snapshot` or open your own tab. To use a browser profile (a set of saved logins), pass `profileId` from `preview_status` profiles to `preview_open`.\n\nDo not switch to global browser skills, Chrome, Node REPL browser automation, standalone Playwright, or agent-browser merely because the preview is initially closed or a first call fails. Inspect a failed preview call and retry with corrected arguments when the error is actionable. Use another browser system when:\n- the T3 preview tools are absent, or `preview_open` returns an explicit unsupported/unavailable error;\n- the user asks for another browser, or invokes a skill or documented repository workflow that names one; follow that workflow and report any prerequisite it is missing;\n- preview calls on an open tab have failed twice on the same step (timeouts, `chrome-error://` pages, a different client answering). Quote the raw error and switch without asking the user which browser to use.\n\n## T3 Code orchestration\n\nThe `t3-code` MCP server provides app-owned orchestration. Treat these concepts distinctly:\n\n- A delegated task/subagent is child work owned by the current thread. Use `orchestrator_capabilities` to discover the current provider/model IDs from the same live catalog as the composer, including configured custom models. It lists a short set of models per provider; pass `search` to find others. Do not treat a native tool's model list as the full list of available subagent models. Prefer native subagent tools for same-provider work only when they support the chosen model and no model options are requested or inherited. Use `delegate_task` with that provider instance and model when native tools cannot, including for same-provider work. Also use `delegate_task` for cross-provider or explicitly T3-owned child tasks. For a child task that needs a separate checkout, use `delegate_task` with `isolation:\"worktree\"` across any provider or model. It starts from the parent local commit and runs project setup; uncommitted edits are not copied. Retain each returned `taskId`, and use `task_status` or `task_cancel` to manage it.\n- `t3_thread_launch` and `create_threads` create ordinary top-level T3 conversations. Use them only when the user explicitly asks for separate/new/top-level threads or conversations. Never use them merely because the user said \"subagent\" or requested parallel delegated work.\n- For independent T3 delegated review rounds, call `delegate_task` again. Include the original brief, prior findings, responses, and unresolved objections in each new task prompt. Track each round by its own `taskId`. Use a distinct `clientRequestId` per round, stable across retries of that round. For a follow-up that needs the same child's conversation, use `t3_thread_send` on its `childThreadId`.\n\n- `schedule_task` creates persistent recurring work in the app scheduler. Pass `schedule` as a structured object, never as JSON text: `{\"type\":\"interval\",\"everyMs\":3600000}` for an interval, or `{\"type\":\"fixed_time\",\"timeOfDay\":\"09:00\",\"weekdays\":[1,2,3,4,5]}` for a wall-clock schedule, or `{\"type\":\"webhook\"}` to run on each request to the returned `webhookUrl` (the run sees the request only through `{{body.path}}`-style placeholders in the prompt). By default runs return to the current thread, which suits orchestrating: each trigger arrives here and you delegate or dedupe; set `bindToCurrentThread=false` only when the user wants a fresh thread for every run. After scheduling a timer, report the returned cadence and next run time; for a webhook, report its `webhookUrl`, or say T3 Connect remote access is needed if it is missing.\n- When you need a secret from the user (a token, API key, or webhook signing secret), call `request_secret` so they enter it privately, then pass the returned `secretRef` to the tool that needs it, e.g. `signature.secretRef` on a webhook task for a sender that signs requests such as GitHub. A `secretRef` works once. Never ask for a secret in chat, never invent one, and never repeat one.\n- To mention another thread to the user, link it as `[title](t3-thread://v1/)` with its exact `threadId`, not URL-encoded. T3 Code opens the thread in the app and shows its current title.\n\n### Choose the workspace before starting a new thread\n\nFor independent implementation or a PR stack in its own worktree, use `t3_thread_launch` with an explicit `workspaceStrategy`. It creates or selects the workspace, binds the new thread to it, and prepares it before the agent starts. Put the task in `message`, not `prompt`:\n\n- New worktree: `{\"title\":\"UI cleanup\",\"workspaceStrategy\":{\"type\":\"worktree\",\"baseRef\":\"feature/base\",\"branch\":\"feature/ui-cleanup\",\"startFromOrigin\":false},\"message\":\"Implement the cleanup and open a PR against feature/base.\"}`\n- Existing worktree: `{\"title\":\"Continue cleanup\",\"workspaceStrategy\":{\"type\":\"existing_worktree\",\"worktreePath\":\"/absolute/path/to/worktree\",\"branch\":\"feature/ui-cleanup\"},\"message\":\"Continue the cleanup.\"}`\n- Project's main checkout: `workspaceStrategy:{\"type\":\"root\"}`. Omitting workspaceStrategy also selects root; it does not inherit the caller's worktree.\n\nFor stacked work, set `baseRef` to the intended parent branch and `startFromOrigin:false` to use its local commits. Use `startFromOrigin:true` when you intend to fetch the base branch's remote and start from it. Uncommitted edits are not copied. Use `t3_worktree_list` to discover existing checkout paths. Project, model selection, and modes inherit unless supplied; a launched thread may not run with broader modes than yours.\n\n`t3_thread_launch` is the single-thread launch tool. Use `create_threads` only for a batch of threads intentionally sharing the caller's checkout: it always inherits the caller's project, branch, and worktree and has no workspace override. Asking an agent to run `git worktree add` or `cd` in its prompt does not update T3's thread binding. Select the workspace in the launch call instead. `t3_worktree_handoff` moves the calling thread, not another thread, and cannot move a thread already attached to a worktree.\n\n`t3_thread_launch` has no idempotency key. Retain its returned threadId and inspect it with `t3_thread_read` / `t3_thread_wait`; preparation can still be running after acceptance. If a launch fails or its response is lost, inspect `t3_thread_list` before retrying, since a thread may already exist.\n\nTool names may include a harness-normalized MCP prefix, such as `mcp__t3_code__delegate_task`; the semantics are the same. Some harnesses attach optional MCP servers lazily: if an initial tool-catalog scan does not show T3 tools, do not conclude that cross-provider delegation is unavailable. Make one bounded direct attempt using the known T3 tool name on the next tool step. In Codex code mode, for example, call `tools.mcp__t3_code__orchestrator_capabilities({})` before reporting that the capability is absent. Keep polling/wait loops bounded, do not duplicate active work, and use stable `clientRequestId` values when retrying tools that accept them.\n\nACP fallback: some ACP agents accept the injected MCP server but fail to expose its tools. When the T3 tools are absent and `T3_ACP_MCP_NODE` is present, call the same tools through the terminal: `ELECTRON_RUN_AS_NODE=1 \"$T3_ACP_MCP_NODE\" ${T3_ACP_MCP_ENTRYPOINT:+\"$T3_ACP_MCP_ENTRYPOINT\"} acp-mcp-call orchestrator_capabilities '{}'` (`T3_ACP_MCP_ENTRYPOINT` is unset when T3 runs as a standalone executable). Delegate with `acp-mcp-call delegate_task '{\"task\":\"...\",\"target\":{\"providerInstanceId\":\"...\",\"model\":\"...\"},\"mode\":\"async\",\"clientRequestId\":\"...\"}'`. This is the supported T3 transport fallback, not an ordinary shell-based substitute for delegation.\n\n### Showing visuals\n\nWhen a chart, table, diagram, image collage, or mockup would say more than prose, build a self-contained HTML page, check it with `html_preview`, then publish it with `html_render` before your final reply. The reader sees the page above that reply, so don't announce or restate it; add only what it doesn't say.\n\n- When model options are requested or the child keeps the parent's provider instance and model with nonempty `inheritedOptions` from `orchestrator_capabilities`, use `delegate_task` even for native-supported models. Native subagents cannot reliably apply T3 model options. Read the selected model's descriptors from `orchestrator_capabilities` and put settings in `target.options`, not only in the prompt. Claude commonly uses {\"effort\":\"max\",\"fastMode\":true}; Codex uses {\"reasoningEffort\":\"max\",\"serviceTier\":\"priority\"}. Do not translate max to high or ignore unsupported settings: report a capability mismatch. Options inherit only for the same provider instance and model; explicit entries override individual values, and [] or {} clears them. Check the returned providerInstanceId, model, and options against the requested selection.\n\n\n\n$ev20371, report\n\n\nIn case you're asked: you are running in T3 Code through the Grok harness, as grok-4.6. No need to mention this otherwise. You can embed images and videos in your response using Markdown with absolute file paths.\n\n\nWhen the t3-code MCP server exposes link_pull_request, you must use it to register every pull request you create or work on for this thread. Call link_pull_request with the full PR URL immediately after creating a PR or starting work on an existing PR. For a stack, call it for every layer, not just the current branch or the top PR. This applies when creating or updating PRs through your host's CLI (including its stack commands) or its API: those operations do not register the PRs with this thread. Linking an already-linked PR is safe. Before finishing PR work, call list_thread_pull_requests and link any PR from your work that is missing. Do not link unrelated PRs mentioned only as background. If a linking call fails, report that failure instead of claiming the PR is linked. As a delegated child task, do not watch or poll PRs; return PR URLs, head SHA, and pending review/check state to your parent. Otherwise, when asked to monitor, watch, or babysit a PR and watch_pull_request is available, call it and end your turn: T3 Code wakes you when checks finish, someone else comments, or the branch conflicts, so do not poll or run your own watcher. When monitoring is done and you hand the work back to the user, call unwatch_pull_request first so the thread returns to their inbox.\n", "runningKind": "prompt" } } }, { "time": "2026-10-24T23:35:36.976Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp/init_progress", "params": { "total": 1, "connected": 1, "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a" } } }, { "time": "2026-10-24T23:35:36.984Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "_x.ai/mcp_initialized", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "mcpToolCount": 83, "elapsedMs": 744 } } }, { "time": "2026-10-24T23:35:38.413Z", "pid": 2114520, "provider": "grok", "kind": "out", "data": { "jsonrpc": "2.0", "method": "session/update", "params": { "sessionId": "01a17045-0dcb-7933-af1f-7d1dc84f074a", "update": { "sessionUpdate": "agent_message_chunk", "content": { "type": "text", "text": "I'll" } }, 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