Rename the entire "tool" concept to "script": ToolHandler → ScriptHandler,
tool_command attribute → script, tool.output → script.output, and all
related artifact filenames. Add a language attribute (shell | python,
default shell) so script nodes can run Python via python3 -c natively.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Enables simple generation nodes (summarization, classification, routing)
without the overhead of a full agent session. Nodes default to agent_loop
when the attribute is absent.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Entire-Checkpoint: 1574218eca96
Cyclic graphs (e.g. consensus_task.dot, semport.dot) loop infinitely
under --dry-run because the mock backend always returns outcome=success,
which never matches conditional edges. Add a configurable max_node_visits
limit (graph attr, default 0=disabled) that defaults to 10 in dry-run
mode, terminating execution when any node is visited more than the limit.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Entire-Checkpoint: 633b59435252
Removed the workspace-level clippy lint config that enabled all, pedantic, nursery,
and cargo lint groups. Removed all #[allow(clippy::...)] annotations that were only
needed to suppress those extra lints, and fixed the few default clippy warnings that
were uncovered.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Gap 1: Real preamble synthesis per fidelity mode (truncate, compact,
summary:low/medium/high) in new preamble.rs module, replacing placeholder
- Gap 2: Pass thread_id to CodergenBackend.run() so backends can reuse
LLM sessions across nodes sharing the same thread
- Gap 7: Engine cancellation via AtomicBool token checked between nodes,
wired to server cancel endpoint, new Cancelled error variant
- Gap 8: RecordingInterviewer serialization (to_json/from_json, file I/O)
and new ReplayInterviewer for replaying recorded Q&A sessions
- Gap 12: Preset retry policies selectable from DOT via retry_policy attr
(none, standard, aggressive, linear, patient)
- Gap 15: Engine calls Interviewer.inform() at pipeline start, stage
start, and stage complete lifecycle points
37 new tests (450 unit + 49 integration, all passing).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds the attractor crate implementing all 11 sections of the attractor spec:
- DOT parser (lexer, grammar, semantic analysis) for strict DOT subset
- Pipeline execution engine with edge selection, goal gates, retry logic,
failure routing, checkpoint save/resume, and loop_restart
- 9 node handlers: start, exit, codergen, wait_human, conditional, parallel
(concurrent with join/error policies), fan_in (with LLM eval), tool, manager_loop
- State management: PipelineContext, Outcome, Artifact store, fidelity resolution
- Human-in-the-loop: Interviewer trait with auto_approve, callback, queue,
recording, and console implementations, plus timeout enforcement
- Validation: 14 built-in lint rules with custom rule registration API
- Model stylesheet with universal/shape/class/ID selectors and specificity
- Transforms: variable expansion, stylesheet application, preamble; plus
PipelineBuilder with register_transform and prepare_pipeline
- Condition expression language with =, !=, bare-key truthiness, && combinator
- Event system with all 16 event types emitted by engine and handlers
- Tool call hooks (pre/post) for CodergenHandler
- Run directory with manifest.json and per-node status.json
370 tests (354 unit + 16 integration) covering all spec sections.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
