From 118816f39bf3e1a4f9e06e4c460511a9a6c54748 Mon Sep 17 00:00:00 2001 From: Fabro Date: Sat, 23 May 2026 12:34:32 -0400 Subject: [PATCH] =?UTF-8?q?checkpoint=20=E2=9A=92=EF=B8=8F=20Generated=20w?= =?UTF-8?q?ith=20[Fabro](https://fabro.sh)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- run.json | 195 +++++++++++++++--- stages/003-preflight_compile@1/output.log | 1 + .../script_timing.json | 8 + stages/003-preflight_compile@1/status.json | 6 + .../script_invocation.json | 5 + 5 files changed, 182 insertions(+), 33 deletions(-) create mode 100644 stages/003-preflight_compile@1/output.log create mode 100644 stages/003-preflight_compile@1/script_timing.json create mode 100644 stages/003-preflight_compile@1/status.json create mode 100644 stages/004-preflight_lint@1/script_invocation.json diff --git a/run.json b/run.json index 0d4af3434..a2c7b6b4b 100644 --- a/run.json +++ b/run.json @@ -493,7 +493,7 @@ "kind": "running" }, "status_updated_at": "2026-05-23T16:30:00.579662Z", - "last_event_at": "2026-05-23T16:30:07.684328Z", + "last_event_at": "2026-05-23T16:32:15.443688Z", "pending_control": null, "checkpoints": [ { @@ -591,9 +591,9 @@ } }, { - "seq": 0, + "seq": 37, "checkpoint": { - "timestamp": "2026-05-23T16:32:11.848490Z", + "timestamp": "2026-05-23T16:32:15.442038Z", "current_node": "preflight_compile", "completed_nodes": [ "start", @@ -601,6 +601,76 @@ "preflight_compile" ], "node_retries": {}, + "context_values": { + "failure_class": "", + "internal.fidelity": "compact", + "graph.rankdir": "LR", + "internal.node_visit_count": 1, + "internal.retry_count.preflight_compile": 0, + "internal.run_id": "01KSATQNAXG41FHKV0QH5N1QGC", + "current_node": "preflight_compile", + "internal.retry_count.start": 0, + "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "internal.work_dir": "/home/daytona/workspace/fabro", + "thread.start.current_node": "toolchain", + "internal.thread_id": "toolchain", + "outcome": "succeeded", + "failure_signature": "", + "thread.toolchain.current_node": "preflight_compile", + "graph.goal": "# Mid-Stage Agent Interview Tools\n\n## Summary\n\nAdd model-native question tools that let agents pause mid-stage and ask the human for input through Fabro's existing interview system.\n\nOpenAI-profile agents get `request_user_input`; Anthropic-profile agents get `AskUserQuestion`. When either tool is called, Fabro creates pending interview questions, surfaces them through the existing web/API/Slack paths, waits for answers, then returns provider-shaped tool results so the model can continue the same stage.\n\n## Key Changes\n\n- Extend the existing interview contract without type sprawl:\n - Add optional `description` and `preview` fields to the canonical `fabro_types::InterviewOption`; reuse that type through `fabro-api` replacements instead of introducing `AgentQuestionOption`, API-only aliases, or adapter-only duplicate types.\n - Update OpenAPI, generated Rust/TypeScript clients, event conversion, projection, Slack/web mappers, and the existing `with_replacement(\"InterviewOption\", \"fabro_types::InterviewOption\", ...)` parity tests.\n - Treat both fields as untrusted model-authored display data. Store and expose them after enforcing bounded lengths; truncate or reject oversized values consistently before persistence.\n - Initial UI behavior: display `description` under option labels where practical. Capture and expose `preview`, but do not render preview content specially in web or Slack v1.\n\n- Add a shared run-level interview runtime:\n - Move the private human-node blocked-state refcount into a reusable run-level guard used by both `HumanHandler` and agent question tools, so `RunUnblocked` is emitted only when all human and agent interviews for the run are resolved.\n - Runtime accepts the interviewer, workflow emitter, stage scope, stage id, tool call id, and normalized questions.\n - Support batch asks as a first-class operation: emit/register all questions first, mark the run blocked once, await all answers concurrently, then emit completion/timeout/interrupted events per question and unblock when the batch resolves.\n - Batch support applies only to multiple `questions[]` inside one question-tool call. Do not aggregate multiple separate question-tool calls from the same model round.\n - Generate safe internal question IDs with a ULID/UUID plus stage visit/tool-call context; store original model question IDs/text in question metadata for provider result mapping.\n\n- Add provider-specific agent tools:\n - `request_user_input` for `AgentProfileKind::OpenAi`.\n - Accept Codex-compatible schema: `questions[]` with `id`, `header`, `question`, and `options[] { label, description }`.\n - Normalize each question to `QuestionType::MultipleChoice` with `allow_freeform: true`.\n - Return JSON text matching Codex shape, keyed by the original model question ID: `{\"answers\":{\"id\":{\"answers\":[\"...\"]}}}`.\n - `AskUserQuestion` for `AgentProfileKind::Anthropic`.\n - Accept Claude-compatible schema: `questions[]` with `question`, `header`, `options[] { label, description, preview? }`, and `multiSelect`.\n - Normalize single-select to `MultipleChoice`, multi-select to `MultiSelect`, always with `allow_freeform: true`.\n - Return Claude-style tool result text keyed by the original question text: `User has answered your questions: \"...question...\"=\"answer\". You can now continue...`.\n - Answer formatting for both tools returns user-facing option labels to the model. Preserve internal option keys for validation and event storage. For multi-select, preserve the submission order supplied by the answer path.\n\n- Thread workflow interview context into agent tool execution:\n - Add an explicit per-turn agent tool runtime context passed into `process_input` or an adjacent `process_input_with_runtime` API. It carries the interviewer, workflow emitter, stage scope/id, shared block guard, and provider answer formatter.\n - Do not capture stage-specific interview handles in the profile registry or cached session construction; cached full-fidelity sessions must receive the current turn's stage context dynamically.\n - Child/subagent sessions must not expose these question tools. If somehow called outside the root session, return a model-visible error.\n - Question tools must execute alone in a model tool round. If a round contains one question tool plus any other tool call, execute the question tool and return model-visible error results for the non-question peers, preserving tool-call/tool-result ordering. If a round contains multiple separate question-tool calls, execute only the first and return model-visible error results for the later question-tool calls instructing the model to combine questions into one `questions[]` batch.\n - Agent-originated questions have no per-question timeout in v1 because the provider schemas do not include timeout. They rely on existing stage timeout, wall-clock timeout, cancellation, and interruption behavior.\n\n- Preserve existing answer paths:\n - Do not add a new answer endpoint.\n - Continue using `GET /runs/{id}/questions` and `POST /runs/{id}/questions/{qid}/answer`.\n - Keep `ControlInterviewer`, web `InterviewDock`, Slack blocks, and run projection as the delivery mechanism.\n\n## Test Plan\n\n- Unit tests for schema parsing and normalization:\n - Codex request with descriptions maps to Fabro multiple-choice questions and returns answers by model question ID.\n - Claude request with `multiSelect: true` maps to `MultiSelect` and returns comma-separated answer text.\n - Batched Codex and Claude requests surface all questions as pending before awaiting answers, then return one result with every answer mapped to the original model ID/text.\n - Optional `preview` and `description` survive event, projection, API conversion, OpenAPI replacement tests, and TypeScript client generation.\n - Oversized `description`/`preview` values are bounded before persistence and never rendered as trusted HTML.\n\n- Workflow and agent tests:\n - OpenAI-profile session advertises `request_user_input`; Anthropic-profile session advertises `AskUserQuestion`; Gemini advertises neither.\n - Subagent profiles do not advertise the question tools.\n - Root agent can ask a question and resume after the answer.\n - Subagent or missing interview context returns a clear tool error.\n - Cached full-fidelity session emits interview events against the current stage, not the original cached stage.\n - A mixed tool round containing a human-question tool plus another tool preserves all required tool results and rejects the peer calls with model-visible errors.\n - A round with multiple separate question-tool calls executes only the first and rejects later question-tool calls with model-visible errors.\n\n- Server, projection, and UI tests:\n - `InterviewStarted` with option metadata appears in pending questions.\n - Submitting valid selected, multi-selected, and freeform answers unblocks the waiting tool.\n - Duplicate answer submission remains rejected through existing accepted-question logic.\n - Parallel human gate plus agent question keeps the run blocked until both are answered.\n - Pause, cancel, and interrupt while an agent question is waiting resolve pending questions consistently and do not leave the run blocked.\n - Stage timeout or wall-clock timeout while an agent question is waiting interrupts the batch; no per-question timeout event is expected unless a future schema adds timeout.\n - Slack answer submissions work for agent-originated questions using the same pending interview transport.\n\n- Run checks:\n - `cargo nextest run -p fabro-interview -p fabro-workflow -p fabro-server -p fabro-agent`\n - `cd apps/fabro-web && bun test && bun run typecheck`\n - Regenerate and verify OpenAPI-derived Rust and TypeScript clients after schema changes.\n\n## Assumptions\n\n- This feature is only for in-process/API-backed agent sessions, not ACP external agents in v1.\n- `preview` is stored and exposed but not rendered specially in the first implementation.\n- Human-question tools are available only during root agent execution inside a workflow run with an active interviewer.\n- Existing interview events remain the source of truth for pending questions; no separate agent-question event family is added.\n- The implementation should prefer extending existing interview structs and replacement mappings over adding parallel API DTOs or conversion-only aliases.\n", + "graph.model_stylesheet": "\n * { model: claude-opus-4-7; }\n ", + "internal.retry_count.toolchain": 0 + }, + "node_outcomes": { + "preflight_compile": { + "status": "succeeded", + "context_updates": { + "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126" + }, + "notes": "Script completed: cargo check -q --workspace 2>&1", + "usage": null + }, + "start": { + "status": "succeeded", + "usage": null + }, + "toolchain": { + "status": "succeeded", + "context_updates": { + "command.output": "blob://sha256/fc14b2ba2d770e5cd3169df7a29525c962adfc4cfa3097b9098c63ebd61a748c" + }, + "notes": "Script completed: command -v cargo >/dev/null || { curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y && sudo ln -sf $HOME/.cargo/bin/* /usr/local/bin/; }; cargo --version 2>&1", + "usage": null + } + }, + "next_node_id": "preflight_lint", + "git_commit_sha": "e5bfdc404ee0b27505dfe10b444b836b02a6d92f", + "node_visits": { + "preflight_compile": 1, + "start": 1, + "toolchain": 1 + } + }, + "diff": { + "summary": { + "files_changed": 0, + "additions": 0, + "deletions": 0 + } + } + }, + { + "seq": 0, + "checkpoint": { + "timestamp": "2026-05-23T16:34:31.825139Z", + "current_node": "preflight_lint", + "completed_nodes": [ + "start", + "toolchain", + "preflight_compile", + "preflight_lint" + ], + "node_retries": {}, "context_values": { "graph.goal": "# Mid-Stage Agent Interview Tools\n\n## Summary\n\nAdd model-native question tools that let agents pause mid-stage and ask the human for input through Fabro's existing interview system.\n\nOpenAI-profile agents get `request_user_input`; Anthropic-profile agents get `AskUserQuestion`. When either tool is called, Fabro creates pending interview questions, surfaces them through the existing web/API/Slack paths, waits for answers, then returns provider-shaped tool results so the model can continue the same stage.\n\n## Key Changes\n\n- Extend the existing interview contract without type sprawl:\n - Add optional `description` and `preview` fields to the canonical `fabro_types::InterviewOption`; reuse that type through `fabro-api` replacements instead of introducing `AgentQuestionOption`, API-only aliases, or adapter-only duplicate types.\n - Update OpenAPI, generated Rust/TypeScript clients, event conversion, projection, Slack/web mappers, and the existing `with_replacement(\"InterviewOption\", \"fabro_types::InterviewOption\", ...)` parity tests.\n - Treat both fields as untrusted model-authored display data. Store and expose them after enforcing bounded lengths; truncate or reject oversized values consistently before persistence.\n - Initial UI behavior: display `description` under option labels where practical. Capture and expose `preview`, but do not render preview content specially in web or Slack v1.\n\n- Add a shared run-level interview runtime:\n - Move the private human-node blocked-state refcount into a reusable run-level guard used by both `HumanHandler` and agent question tools, so `RunUnblocked` is emitted only when all human and agent interviews for the run are resolved.\n - Runtime accepts the interviewer, workflow emitter, stage scope, stage id, tool call id, and normalized questions.\n - Support batch asks as a first-class operation: emit/register all questions first, mark the run blocked once, await all answers concurrently, then emit completion/timeout/interrupted events per question and unblock when the batch resolves.\n - Batch support applies only to multiple `questions[]` inside one question-tool call. Do not aggregate multiple separate question-tool calls from the same model round.\n - Generate safe internal question IDs with a ULID/UUID plus stage visit/tool-call context; store original model question IDs/text in question metadata for provider result mapping.\n\n- Add provider-specific agent tools:\n - `request_user_input` for `AgentProfileKind::OpenAi`.\n - Accept Codex-compatible schema: `questions[]` with `id`, `header`, `question`, and `options[] { label, description }`.\n - Normalize each question to `QuestionType::MultipleChoice` with `allow_freeform: true`.\n - Return JSON text matching Codex shape, keyed by the original model question ID: `{\"answers\":{\"id\":{\"answers\":[\"...\"]}}}`.\n - `AskUserQuestion` for `AgentProfileKind::Anthropic`.\n - Accept Claude-compatible schema: `questions[]` with `question`, `header`, `options[] { label, description, preview? }`, and `multiSelect`.\n - Normalize single-select to `MultipleChoice`, multi-select to `MultiSelect`, always with `allow_freeform: true`.\n - Return Claude-style tool result text keyed by the original question text: `User has answered your questions: \"...question...\"=\"answer\". You can now continue...`.\n - Answer formatting for both tools returns user-facing option labels to the model. Preserve internal option keys for validation and event storage. For multi-select, preserve the submission order supplied by the answer path.\n\n- Thread workflow interview context into agent tool execution:\n - Add an explicit per-turn agent tool runtime context passed into `process_input` or an adjacent `process_input_with_runtime` API. It carries the interviewer, workflow emitter, stage scope/id, shared block guard, and provider answer formatter.\n - Do not capture stage-specific interview handles in the profile registry or cached session construction; cached full-fidelity sessions must receive the current turn's stage context dynamically.\n - Child/subagent sessions must not expose these question tools. If somehow called outside the root session, return a model-visible error.\n - Question tools must execute alone in a model tool round. If a round contains one question tool plus any other tool call, execute the question tool and return model-visible error results for the non-question peers, preserving tool-call/tool-result ordering. If a round contains multiple separate question-tool calls, execute only the first and return model-visible error results for the later question-tool calls instructing the model to combine questions into one `questions[]` batch.\n - Agent-originated questions have no per-question timeout in v1 because the provider schemas do not include timeout. They rely on existing stage timeout, wall-clock timeout, cancellation, and interruption behavior.\n\n- Preserve existing answer paths:\n - Do not add a new answer endpoint.\n - Continue using `GET /runs/{id}/questions` and `POST /runs/{id}/questions/{qid}/answer`.\n - Keep `ControlInterviewer`, web `InterviewDock`, Slack blocks, and run projection as the delivery mechanism.\n\n## Test Plan\n\n- Unit tests for schema parsing and normalization:\n - Codex request with descriptions maps to Fabro multiple-choice questions and returns answers by model question ID.\n - Claude request with `multiSelect: true` maps to `MultiSelect` and returns comma-separated answer text.\n - Batched Codex and Claude requests surface all questions as pending before awaiting answers, then return one result with every answer mapped to the original model ID/text.\n - Optional `preview` and `description` survive event, projection, API conversion, OpenAPI replacement tests, and TypeScript client generation.\n - Oversized `description`/`preview` values are bounded before persistence and never rendered as trusted HTML.\n\n- Workflow and agent tests:\n - OpenAI-profile session advertises `request_user_input`; Anthropic-profile session advertises `AskUserQuestion`; Gemini advertises neither.\n - Subagent profiles do not advertise the question tools.\n - Root agent can ask a question and resume after the answer.\n - Subagent or missing interview context returns a clear tool error.\n - Cached full-fidelity session emits interview events against the current stage, not the original cached stage.\n - A mixed tool round containing a human-question tool plus another tool preserves all required tool results and rejects the peer calls with model-visible errors.\n - A round with multiple separate question-tool calls executes only the first and rejects later question-tool calls with model-visible errors.\n\n- Server, projection, and UI tests:\n - `InterviewStarted` with option metadata appears in pending questions.\n - Submitting valid selected, multi-selected, and freeform answers unblocks the waiting tool.\n - Duplicate answer submission remains rejected through existing accepted-question logic.\n - Parallel human gate plus agent question keeps the run blocked until both are answered.\n - Pause, cancel, and interrupt while an agent question is waiting resolve pending questions consistently and do not leave the run blocked.\n - Stage timeout or wall-clock timeout while an agent question is waiting interrupts the batch; no per-question timeout event is expected unless a future schema adds timeout.\n - Slack answer submissions work for agent-originated questions using the same pending interview transport.\n\n- Run checks:\n - `cargo nextest run -p fabro-interview -p fabro-workflow -p fabro-server -p fabro-agent`\n - `cd apps/fabro-web && bun test && bun run typecheck`\n - Regenerate and verify OpenAPI-derived Rust and TypeScript clients after schema changes.\n\n## Assumptions\n\n- This feature is only for in-process/API-backed agent sessions, not ACP external agents in v1.\n- `preview` is stored and exposed but not rendered specially in the first implementation.\n- Human-question tools are available only during root agent execution inside a workflow run with an active interviewer.\n- Existing interview events remain the source of truth for pending questions; no separate agent-question event family is added.\n- The implementation should prefer extending existing interview structs and replacement mappings over adding parallel API DTOs or conversion-only aliases.\n", "internal.work_dir": "/home/daytona/workspace/fabro", @@ -610,12 +680,14 @@ "graph.rankdir": "LR", "thread.toolchain.current_node": "preflight_compile", "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", - "internal.thread_id": "toolchain", - "current_node": "preflight_compile", + "internal.thread_id": "preflight_compile", + "current_node": "preflight_lint", "internal.node_visit_count": 1, "internal.retry_count.toolchain": 0, + "thread.preflight_compile.current_node": "preflight_lint", "internal.retry_count.preflight_compile": 0, "internal.retry_count.start": 0, + "internal.retry_count.preflight_lint": 0, "internal.run_id": "01KSATQNAXG41FHKV0QH5N1QGC", "thread.start.current_node": "toolchain", "graph.model_stylesheet": "\n * { model: claude-opus-4-7; }\n ", @@ -641,11 +713,20 @@ }, "notes": "Script completed: cargo check -q --workspace 2>&1", "usage": null + }, + "preflight_lint": { + "status": "succeeded", + "context_updates": { + "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126" + }, + "notes": "Script completed: cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "usage": null } }, - "next_node_id": "preflight_lint", + "next_node_id": "implement", "node_visits": { "preflight_compile": 1, + "preflight_lint": 1, "start": 1, "toolchain": 1 } @@ -674,33 +755,6 @@ "superseded_by": null, "pending_interviews": {}, "stages": { - "preflight_compile@1": { - "first_event_seq": 30, - "prompt": null, - "response": null, - "completion": null, - "provider_used": null, - "diff": null, - "script_invocation": { - "script": "cargo check -q --workspace 2>&1", - "command": "exec 2>&1\ncargo check -q --workspace 2>&1", - "language": "shell" - }, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-05-23T16:30:07.684069Z", - "handler": "command", - "usage": { - "input_tokens": 0, - "output_tokens": 0, - "total_tokens": 0, - "reasoning_tokens": 0, - "cache_read_tokens": 0, - "cache_write_tokens": 0 - }, - "state": "running" - }, "toolchain@1": { "first_event_seq": 20, "prompt": null, @@ -782,6 +836,81 @@ "cache_write_tokens": 0 }, "state": "succeeded" + }, + "preflight_compile@1": { + "first_event_seq": 30, + "prompt": null, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Script completed: cargo check -q --workspace 2>&1", + "failure_reason": null, + "timestamp": "2026-05-23T16:32:11.847993Z" + }, + "provider_used": null, + "diff": null, + "script_invocation": { + "script": "cargo check -q --workspace 2>&1", + "command": "exec 2>&1\ncargo check -q --workspace 2>&1", + "language": "shell" + }, + "script_timing": { + "output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "exit_code": 0, + "duration_ms": 124160, + "termination": "exited", + "output_bytes": 0, + "live_streaming": false + }, + "parallel_results": null, + "output": null, + "output_bytes": 0, + "live_streaming": false, + "termination": "exited", + "started_at": "2026-05-23T16:30:07.684069Z", + "handler": "command", + "timing": { + "wall_time_ms": 124163, + "inference_time_ms": 0, + "tool_time_ms": 0, + "active_time_ms": 0 + }, + "usage": { + "input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "reasoning_tokens": 0, + "cache_read_tokens": 0, + "cache_write_tokens": 0 + }, + "state": "succeeded" + }, + "preflight_lint@1": { + "first_event_seq": 40, + "prompt": null, + "response": null, + "completion": null, + "provider_used": null, + "diff": null, + "script_invocation": { + "script": "cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "command": "exec 2>&1\ncargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "language": "shell" + }, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-05-23T16:32:15.443341Z", + "handler": "command", + "usage": { + "input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "reasoning_tokens": 0, + "cache_read_tokens": 0, + "cache_write_tokens": 0 + }, + "state": "running" } } } \ No newline at end of file diff --git a/stages/003-preflight_compile@1/output.log b/stages/003-preflight_compile@1/output.log new file mode 100644 index 000000000..d87ba9545 --- /dev/null +++ b/stages/003-preflight_compile@1/output.log @@ -0,0 +1 @@ +blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126 \ No newline at end of file diff --git a/stages/003-preflight_compile@1/script_timing.json b/stages/003-preflight_compile@1/script_timing.json new file mode 100644 index 000000000..c80d04e75 --- /dev/null +++ b/stages/003-preflight_compile@1/script_timing.json @@ -0,0 +1,8 @@ +{ + "output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "exit_code": 0, + "duration_ms": 124160, + "termination": "exited", + "output_bytes": 0, + "live_streaming": false +} \ No newline at end of file diff --git a/stages/003-preflight_compile@1/status.json b/stages/003-preflight_compile@1/status.json new file mode 100644 index 000000000..603436de6 --- /dev/null +++ b/stages/003-preflight_compile@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Script completed: cargo check -q --workspace 2>&1", + "failure_reason": null, + "timestamp": "2026-05-23T16:32:11.847993Z" +} \ No newline at end of file diff --git a/stages/004-preflight_lint@1/script_invocation.json b/stages/004-preflight_lint@1/script_invocation.json new file mode 100644 index 000000000..0cb6a9faa --- /dev/null +++ b/stages/004-preflight_lint@1/script_invocation.json @@ -0,0 +1,5 @@ +{ + "script": "cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "command": "exec 2>&1\ncargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "language": "shell" +} \ No newline at end of file