From 49a89393bbba98794b85c87ab7d67116108b1f87 Mon Sep 17 00:00:00 2001 From: Fabro Date: Sat, 23 May 2026 13:14:03 -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 | 249 +++++++++++++++++- stages/004-preflight_lint@1/output.log | 1 + .../004-preflight_lint@1/script_timing.json | 8 + stages/004-preflight_lint@1/status.json | 6 + stages/005-implement@1/prompt.md | 103 ++++++++ stages/005-implement@1/provider_used.json | 5 + stages/005-implement@1/response.md | 44 ++++ 7 files changed, 407 insertions(+), 9 deletions(-) create mode 100644 stages/004-preflight_lint@1/output.log create mode 100644 stages/004-preflight_lint@1/script_timing.json create mode 100644 stages/004-preflight_lint@1/status.json create mode 100644 stages/005-implement@1/prompt.md create mode 100644 stages/005-implement@1/provider_used.json create mode 100644 stages/005-implement@1/response.md diff --git a/run.json b/run.json index a2c7b6b4b..e031c502e 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": "2026-05-23T16:32:15.443688Z", + "last_event_at": "2026-05-23T17:14:03.422520Z", "pending_control": null, "checkpoints": [ { @@ -660,9 +660,9 @@ } }, { - "seq": 0, + "seq": 47, "checkpoint": { - "timestamp": "2026-05-23T16:34:31.825139Z", + "timestamp": "2026-05-23T16:34:35.520967Z", "current_node": "preflight_lint", "completed_nodes": [ "start", @@ -671,17 +671,103 @@ "preflight_lint" ], "node_retries": {}, + "context_values": { + "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "failure_class": "", + "internal.retry_count.preflight_lint": 0, + "internal.retry_count.toolchain": 0, + "graph.rankdir": "LR", + "internal.fidelity": "compact", + "internal.run_id": "01KSATQNAXG41FHKV0QH5N1QGC", + "internal.thread_id": "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", + "thread.toolchain.current_node": "preflight_compile", + "current_node": "preflight_lint", + "internal.retry_count.start": 0, + "internal.work_dir": "/home/daytona/workspace/fabro", + "outcome": "succeeded", + "thread.start.current_node": "toolchain", + "internal.retry_count.preflight_compile": 0, + "failure_signature": "", + "internal.node_visit_count": 1, + "thread.preflight_compile.current_node": "preflight_lint", + "graph.model_stylesheet": "\n * { model: claude-opus-4-7; }\n " + }, + "node_outcomes": { + "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 + }, + "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 + }, + "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 + } + }, + "next_node_id": "implement", + "git_commit_sha": "076c1a0f24845d52a05d6216bf53759ef896d081", + "node_visits": { + "toolchain": 1, + "preflight_lint": 1, + "start": 1, + "preflight_compile": 1 + } + }, + "diff": { + "summary": { + "files_changed": 0, + "additions": 0, + "deletions": 0 + } + } + }, + { + "seq": 0, + "checkpoint": { + "timestamp": "2026-05-23T17:14:03.544702Z", + "current_node": "implement", + "completed_nodes": [ + "start", + "toolchain", + "preflight_compile", + "preflight_lint", + "implement" + ], + "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", "internal.fidelity": "compact", + "response.implement": "Implemented the mid-stage agent interview tools and metadata plumbing.\n\nSummary of changes:\n- Extended canonical `InterviewOption` with optional `description` and `preview`.\n- Updated OpenAPI and regenerated the TypeScript API client:\n - `ApiQuestion.options` now uses `InterviewOption`.\n - Removed stale `ApiQuestionOption` export/file.\n- Added model-native agent question tools:\n - OpenAI: `request_user_input`\n - Anthropic: `AskUserQuestion`\n - Gemini: no question tool\n- Added per-turn `AgentToolRuntime` so cached sessions receive current workflow/stage interview context dynamically.\n- Enforced question-tool round rules:\n - question tool runs alone\n - mixed tool peers get model-visible errors\n - multiple separate question-tool calls execute only the first and tell the model to batch\n- Added shared run-level interview blocker/guard used by both human gates and agent questions.\n- Added workflow runtime for agent-originated batched questions:\n - emits/registers all questions first\n - blocks once per batch\n - waits concurrently\n - emits completion/interruption/timeout events per question\n - cleans up pending questions on cancellation/drop\n- Preserved answer endpoints/paths through existing pending interview projection and submission flow.\n- Updated web/Slack display:\n - web shows option descriptions\n - Slack renders option descriptions where practical\n - preview is captured/exposed but not specially rendered\n- Added/updated tests across agent, workflow, API, store, Slack, and web.\n\nValidation run:\n- `cargo check -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --tests` ✅\n- `cargo +nightly-2026-04-14 fmt --check --all` ✅\n- `cargo +nightly-2026-04-14 clippy -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --all-targets -- -D warnings` ✅\n- `cargo nextest run -p fabro-agent -p fabro-workflow -p fabro-api ...focused question/API tests...` ✅\n- `cargo nextest run -p fabro-interview` ✅\n- `cargo nextest run -p fabro-slack -p fabro-store --lib --tests` ✅\n- `cd apps/fabro-web && bun test ./app/components/interview-dock.test.tsx ./app/components/stage-renderers/helpers.test.ts` ✅\n- `cd apps/fabro-web && bun run typecheck` ✅\n- `cd lib/packages/fabro-api-client && bun run typecheck` ✅\n\nNoted failures:\n- `cargo nextest run -p fabro-server ...` fails on `server::tests::get_graph_returns_svg`; rerun of the single test also fails. The error is the graph renderer subprocess returning nextest output (`running 0 tests`) instead of SVG, unrelated to the interview changes.\n- Full `cd apps/fabro-web && bun test` still has existing unrelated failures in run-detail/lifecycle tests; focused changed web tests pass and typecheck passes.", "failure_signature": "", "failure_class": "", "graph.rankdir": "LR", "thread.toolchain.current_node": "preflight_compile", "command.output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", - "internal.thread_id": "preflight_compile", - "current_node": "preflight_lint", + "internal.thread_id": "preflight_lint", + "thread.preflight_lint.current_node": "implement", + "last_stage": "implement", + "internal.retry_count.implement": 0, + "current_node": "implement", "internal.node_visit_count": 1, "internal.retry_count.toolchain": 0, "thread.preflight_compile.current_node": "preflight_lint", @@ -691,9 +777,44 @@ "internal.run_id": "01KSATQNAXG41FHKV0QH5N1QGC", "thread.start.current_node": "toolchain", "graph.model_stylesheet": "\n * { model: claude-opus-4-7; }\n ", + "last_response": "Implemented the mid-stage agent interview tools and metadata plumbing.\n\nSummary of changes:\n- Extended canonical `InterviewOption` with optional `description` and `preview`.\n- Updated OpenAPI and rege", "outcome": "succeeded" }, "node_outcomes": { + "implement": { + "status": "succeeded", + "context_updates": { + "last_response": "Implemented the mid-stage agent interview tools and metadata plumbing.\n\nSummary of changes:\n- Extended canonical `InterviewOption` with optional `description` and `preview`.\n- Updated OpenAPI and rege", + "last_stage": "implement", + "response.implement": "Implemented the mid-stage agent interview tools and metadata plumbing.\n\nSummary of changes:\n- Extended canonical `InterviewOption` with optional `description` and `preview`.\n- Updated OpenAPI and regenerated the TypeScript API client:\n - `ApiQuestion.options` now uses `InterviewOption`.\n - Removed stale `ApiQuestionOption` export/file.\n- Added model-native agent question tools:\n - OpenAI: `request_user_input`\n - Anthropic: `AskUserQuestion`\n - Gemini: no question tool\n- Added per-turn `AgentToolRuntime` so cached sessions receive current workflow/stage interview context dynamically.\n- Enforced question-tool round rules:\n - question tool runs alone\n - mixed tool peers get model-visible errors\n - multiple separate question-tool calls execute only the first and tell the model to batch\n- Added shared run-level interview blocker/guard used by both human gates and agent questions.\n- Added workflow runtime for agent-originated batched questions:\n - emits/registers all questions first\n - blocks once per batch\n - waits concurrently\n - emits completion/interruption/timeout events per question\n - cleans up pending questions on cancellation/drop\n- Preserved answer endpoints/paths through existing pending interview projection and submission flow.\n- Updated web/Slack display:\n - web shows option descriptions\n - Slack renders option descriptions where practical\n - preview is captured/exposed but not specially rendered\n- Added/updated tests across agent, workflow, API, store, Slack, and web.\n\nValidation run:\n- `cargo check -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --tests` ✅\n- `cargo +nightly-2026-04-14 fmt --check --all` ✅\n- `cargo +nightly-2026-04-14 clippy -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --all-targets -- -D warnings` ✅\n- `cargo nextest run -p fabro-agent -p fabro-workflow -p fabro-api ...focused question/API tests...` ✅\n- `cargo nextest run -p fabro-interview` ✅\n- `cargo nextest run -p fabro-slack -p fabro-store --lib --tests` ✅\n- `cd apps/fabro-web && bun test ./app/components/interview-dock.test.tsx ./app/components/stage-renderers/helpers.test.ts` ✅\n- `cd apps/fabro-web && bun run typecheck` ✅\n- `cd lib/packages/fabro-api-client && bun run typecheck` ✅\n\nNoted failures:\n- `cargo nextest run -p fabro-server ...` fails on `server::tests::get_graph_returns_svg`; rerun of the single test also fails. The error is the graph renderer subprocess returning nextest output (`running 0 tests`) instead of SVG, unrelated to the interview changes.\n- Full `cd apps/fabro-web && bun test` still has existing unrelated failures in run-detail/lifecycle tests; focused changed web tests pass and typecheck passes." + }, + "notes": "Stage completed: implement", + "usage": { + "input": { + "usage": { + "model": { + "provider": "openai", + "model_id": "gpt-5.5" + }, + "tokens": { + "input_tokens": 483262, + "output_tokens": 43089, + "reasoning_tokens": 20029, + "cache_read_tokens": 63283712, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "openai" + } + }, + "total_usd_micros": 35951706 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/lib/crates/fabro-agent/src/question_tools.rs", + "/home/daytona/workspace/fabro/lib/crates/fabro-workflow/src/interview_runtime.rs" + ] + }, "start": { "status": "succeeded", "usage": null @@ -723,9 +844,10 @@ "usage": null } }, - "next_node_id": "implement", + "next_node_id": "simplify_opus", "node_visits": { "preflight_compile": 1, + "implement": 1, "preflight_lint": 1, "start": 1, "toolchain": 1 @@ -754,7 +876,95 @@ "pull_request": null, "superseded_by": null, "pending_interviews": {}, + "todos_by_list": { + "openai_plan:2eb27b9b-fdd2-4013-8eb9-2cf31c483981": { + "kind": "openai_plan", + "list_id": "openai_plan:2eb27b9b-fdd2-4013-8eb9-2cf31c483981", + "items": [ + { + "id": "09c814001e761372", + "status": "completed", + "order": 0, + "subject": "Locate AGENTS.md and the referenced plan file" + }, + { + "id": "bf01625bb8bc74d9", + "status": "completed", + "order": 1, + "subject": "Inspect interview, agent tool, API, projection, Slack, and web code paths" + }, + { + "id": "ae5f58927fd1f8da", + "status": "completed", + "order": 2, + "subject": "Add failing tests for planned behavior" + }, + { + "id": "7bfc3dba1ce36ef0", + "status": "completed", + "order": 3, + "subject": "Implement interview option metadata and API/client updates" + }, + { + "id": "12fc70252e030a7f", + "status": "completed", + "order": 4, + "subject": "Implement shared interview runtime and agent question tools" + }, + { + "id": "56e83cbf9388783e", + "status": "completed", + "order": 5, + "subject": "Update UI/Slack mappings for option descriptions" + }, + { + "id": "a16aa7dcd580884d", + "status": "completed", + "order": 6, + "subject": "Run targeted tests and fix failures" + }, + { + "id": "9ac19339c37692de", + "status": "completed", + "order": 7, + "subject": "Run formatting/type checks as feasible" + } + ] + } + }, "stages": { + "implement@1": { + "first_event_seq": 50, + "prompt": null, + "response": null, + "completion": null, + "provider_used": { + "mode": "agent", + "provider": "openai", + "model": "gpt-5.5" + }, + "diff": null, + "script_invocation": null, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-05-23T16:34:35.522394Z", + "handler": "agent", + "usage": { + "input_tokens": 483262, + "output_tokens": 43089, + "total_tokens": 63830092, + "reasoning_tokens": 20029, + "cache_read_tokens": 63283712, + "cache_write_tokens": 0, + "total_usd_micros": 35951706 + }, + "model": { + "provider": "openai", + "model_id": "gpt-5.5" + }, + "state": "running" + }, "toolchain@1": { "first_event_seq": 20, "prompt": null, @@ -889,7 +1099,12 @@ "first_event_seq": 40, "prompt": null, "response": null, - "completion": null, + "completion": { + "outcome": "succeeded", + "notes": "Script completed: cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "failure_reason": null, + "timestamp": "2026-05-23T16:34:31.824382Z" + }, "provider_used": null, "diff": null, "script_invocation": { @@ -897,11 +1112,27 @@ "command": "exec 2>&1\ncargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", "language": "shell" }, - "script_timing": null, + "script_timing": { + "output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "exit_code": 0, + "duration_ms": 136375, + "termination": "exited", + "output_bytes": 0, + "live_streaming": false + }, "parallel_results": null, "output": null, + "output_bytes": 0, + "live_streaming": false, + "termination": "exited", "started_at": "2026-05-23T16:32:15.443341Z", "handler": "command", + "timing": { + "wall_time_ms": 136380, + "inference_time_ms": 0, + "tool_time_ms": 0, + "active_time_ms": 0 + }, "usage": { "input_tokens": 0, "output_tokens": 0, @@ -910,7 +1141,7 @@ "cache_read_tokens": 0, "cache_write_tokens": 0 }, - "state": "running" + "state": "succeeded" } } } \ No newline at end of file diff --git a/stages/004-preflight_lint@1/output.log b/stages/004-preflight_lint@1/output.log new file mode 100644 index 000000000..d87ba9545 --- /dev/null +++ b/stages/004-preflight_lint@1/output.log @@ -0,0 +1 @@ +blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126 \ No newline at end of file diff --git a/stages/004-preflight_lint@1/script_timing.json b/stages/004-preflight_lint@1/script_timing.json new file mode 100644 index 000000000..070ecd0d1 --- /dev/null +++ b/stages/004-preflight_lint@1/script_timing.json @@ -0,0 +1,8 @@ +{ + "output": "blob://sha256/12ae32cb1ec02d01eda3581b127c1fee3b0dc53572ed6baf239721a03d82e126", + "exit_code": 0, + "duration_ms": 136375, + "termination": "exited", + "output_bytes": 0, + "live_streaming": false +} \ No newline at end of file diff --git a/stages/004-preflight_lint@1/status.json b/stages/004-preflight_lint@1/status.json new file mode 100644 index 000000000..7a16c162a --- /dev/null +++ b/stages/004-preflight_lint@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Script completed: cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1", + "failure_reason": null, + "timestamp": "2026-05-23T16:34:31.824382Z" +} \ No newline at end of file diff --git a/stages/005-implement@1/prompt.md b/stages/005-implement@1/prompt.md new file mode 100644 index 000000000..79616c956 --- /dev/null +++ b/stages/005-implement@1/prompt.md @@ -0,0 +1,103 @@ +Goal: # Mid-Stage Agent Interview Tools + +## Summary + +Add model-native question tools that let agents pause mid-stage and ask the human for input through Fabro's existing interview system. + +OpenAI-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. + +## Key Changes + +- Extend the existing interview contract without type sprawl: + - 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. + - Update OpenAPI, generated Rust/TypeScript clients, event conversion, projection, Slack/web mappers, and the existing `with_replacement("InterviewOption", "fabro_types::InterviewOption", ...)` parity tests. + - 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. + - 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. + +- Add a shared run-level interview runtime: + - 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. + - Runtime accepts the interviewer, workflow emitter, stage scope, stage id, tool call id, and normalized questions. + - 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. + - 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. + - 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. + +- Add provider-specific agent tools: + - `request_user_input` for `AgentProfileKind::OpenAi`. + - Accept Codex-compatible schema: `questions[]` with `id`, `header`, `question`, and `options[] { label, description }`. + - Normalize each question to `QuestionType::MultipleChoice` with `allow_freeform: true`. + - Return JSON text matching Codex shape, keyed by the original model question ID: `{"answers":{"id":{"answers":["..."]}}}`. + - `AskUserQuestion` for `AgentProfileKind::Anthropic`. + - Accept Claude-compatible schema: `questions[]` with `question`, `header`, `options[] { label, description, preview? }`, and `multiSelect`. + - Normalize single-select to `MultipleChoice`, multi-select to `MultiSelect`, always with `allow_freeform: true`. + - Return Claude-style tool result text keyed by the original question text: `User has answered your questions: "...question..."="answer". You can now continue...`. + - 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. + +- Thread workflow interview context into agent tool execution: + - 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. + - 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. + - Child/subagent sessions must not expose these question tools. If somehow called outside the root session, return a model-visible error. + - 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. + - 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. + +- Preserve existing answer paths: + - Do not add a new answer endpoint. + - Continue using `GET /runs/{id}/questions` and `POST /runs/{id}/questions/{qid}/answer`. + - Keep `ControlInterviewer`, web `InterviewDock`, Slack blocks, and run projection as the delivery mechanism. + +## Test Plan + +- Unit tests for schema parsing and normalization: + - Codex request with descriptions maps to Fabro multiple-choice questions and returns answers by model question ID. + - Claude request with `multiSelect: true` maps to `MultiSelect` and returns comma-separated answer text. + - 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. + - Optional `preview` and `description` survive event, projection, API conversion, OpenAPI replacement tests, and TypeScript client generation. + - Oversized `description`/`preview` values are bounded before persistence and never rendered as trusted HTML. + +- Workflow and agent tests: + - OpenAI-profile session advertises `request_user_input`; Anthropic-profile session advertises `AskUserQuestion`; Gemini advertises neither. + - Subagent profiles do not advertise the question tools. + - Root agent can ask a question and resume after the answer. + - Subagent or missing interview context returns a clear tool error. + - Cached full-fidelity session emits interview events against the current stage, not the original cached stage. + - 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. + - A round with multiple separate question-tool calls executes only the first and rejects later question-tool calls with model-visible errors. + +- Server, projection, and UI tests: + - `InterviewStarted` with option metadata appears in pending questions. + - Submitting valid selected, multi-selected, and freeform answers unblocks the waiting tool. + - Duplicate answer submission remains rejected through existing accepted-question logic. + - Parallel human gate plus agent question keeps the run blocked until both are answered. + - Pause, cancel, and interrupt while an agent question is waiting resolve pending questions consistently and do not leave the run blocked. + - 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. + - Slack answer submissions work for agent-originated questions using the same pending interview transport. + +- Run checks: + - `cargo nextest run -p fabro-interview -p fabro-workflow -p fabro-server -p fabro-agent` + - `cd apps/fabro-web && bun test && bun run typecheck` + - Regenerate and verify OpenAPI-derived Rust and TypeScript clients after schema changes. + +## Assumptions + +- This feature is only for in-process/API-backed agent sessions, not ACP external agents in v1. +- `preview` is stored and exposed but not rendered specially in the first implementation. +- Human-question tools are available only during root agent execution inside a workflow run with an active interviewer. +- Existing interview events remain the source of truth for pending questions; no separate agent-question event family is added. +- The implementation should prefer extending existing interview structs and replacement mappings over adding parallel API DTOs or conversion-only aliases. + + +## Completed stages +- **toolchain**: succeeded + - Script: `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` + - Output: + ``` + cargo 1.95.0 (f2d3ce0bd 2026-03-21) + ``` +- **preflight_compile**: succeeded + - Script: `cargo check -q --workspace 2>&1` + - Output: (empty) +- **preflight_lint**: succeeded + - Script: `cargo +nightly-2026-04-14 clippy -q --workspace --all-targets -- -D warnings 2>&1` + - Output: (empty) + + +Read the plan file referenced in the goal and implement every step. Make all the code changes described in the plan. Use red/green TDD. \ No newline at end of file diff --git a/stages/005-implement@1/provider_used.json b/stages/005-implement@1/provider_used.json new file mode 100644 index 000000000..a04162cbf --- /dev/null +++ b/stages/005-implement@1/provider_used.json @@ -0,0 +1,5 @@ +{ + "mode": "agent", + "provider": "openai", + "model": "gpt-5.5" +} \ No newline at end of file diff --git a/stages/005-implement@1/response.md b/stages/005-implement@1/response.md new file mode 100644 index 000000000..61687658e --- /dev/null +++ b/stages/005-implement@1/response.md @@ -0,0 +1,44 @@ +Implemented the mid-stage agent interview tools and metadata plumbing. + +Summary of changes: +- Extended canonical `InterviewOption` with optional `description` and `preview`. +- Updated OpenAPI and regenerated the TypeScript API client: + - `ApiQuestion.options` now uses `InterviewOption`. + - Removed stale `ApiQuestionOption` export/file. +- Added model-native agent question tools: + - OpenAI: `request_user_input` + - Anthropic: `AskUserQuestion` + - Gemini: no question tool +- Added per-turn `AgentToolRuntime` so cached sessions receive current workflow/stage interview context dynamically. +- Enforced question-tool round rules: + - question tool runs alone + - mixed tool peers get model-visible errors + - multiple separate question-tool calls execute only the first and tell the model to batch +- Added shared run-level interview blocker/guard used by both human gates and agent questions. +- Added workflow runtime for agent-originated batched questions: + - emits/registers all questions first + - blocks once per batch + - waits concurrently + - emits completion/interruption/timeout events per question + - cleans up pending questions on cancellation/drop +- Preserved answer endpoints/paths through existing pending interview projection and submission flow. +- Updated web/Slack display: + - web shows option descriptions + - Slack renders option descriptions where practical + - preview is captured/exposed but not specially rendered +- Added/updated tests across agent, workflow, API, store, Slack, and web. + +Validation run: +- `cargo check -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --tests` ✅ +- `cargo +nightly-2026-04-14 fmt --check --all` ✅ +- `cargo +nightly-2026-04-14 clippy -q -p fabro-agent -p fabro-workflow -p fabro-api -p fabro-server -p fabro-slack -p fabro-store -p fabro-cli --all-targets -- -D warnings` ✅ +- `cargo nextest run -p fabro-agent -p fabro-workflow -p fabro-api ...focused question/API tests...` ✅ +- `cargo nextest run -p fabro-interview` ✅ +- `cargo nextest run -p fabro-slack -p fabro-store --lib --tests` ✅ +- `cd apps/fabro-web && bun test ./app/components/interview-dock.test.tsx ./app/components/stage-renderers/helpers.test.ts` ✅ +- `cd apps/fabro-web && bun run typecheck` ✅ +- `cd lib/packages/fabro-api-client && bun run typecheck` ✅ + +Noted failures: +- `cargo nextest run -p fabro-server ...` fails on `server::tests::get_graph_returns_svg`; rerun of the single test also fails. The error is the graph renderer subprocess returning nextest output (`running 0 tests`) instead of SVG, unrelated to the interview changes. +- Full `cd apps/fabro-web && bun test` still has existing unrelated failures in run-detail/lifecycle tests; focused changed web tests pass and typecheck passes. \ No newline at end of file