Store content with provenance tracking.

Args: project: Project name (e.g. "theology") node_id: Node identifier (e.g. "cath-person-001") node_type: Node type (e.g. "Person", "Council", "Document") field: Field name (e.g. "biography", "description") content: The actual content produced_by: Model that produced it (e.g. "haiku-4.5", "sonnet-4.6", "opus-4.6") task_type: Type of task (e.g. "biography_synthesis") sources: URLs used as sources

List chunks needing review.

Args: project: Filter by project node_type: Filter by node type confidence: Filter by confidence level (seed, watered) limit: Max results (default 50)

Promote or reject a chunk after review.

Args: chunk_id: UUID of the chunk verified_by: Model or person that reviewed (e.g. "sonnet-4.6", "opus-4.6") new_confidence: New confidence level (watered, sprouted, rejected) review_notes: Optional rejection reason or reviewer comments

Get model recommendation for a task type.

Args: task_type: The type of task (e.g. "biography_synthesis", "fact_check_final")

Get dashboard of chunk counts by confidence level and token usage.

Args: project: Optional project filter

Export verified chunks as JSON compatible with enrich-nodes.js.

Args: project: Optional project filter min_confidence: Minimum confidence level (seed, watered, sprouted). Default: watered

Generate structured review summary for the OpusTest workflow.

Groups all seed/watered chunks by type with source URLs, ready for Sonnet first-pass then Opus final-pass.

Schedule a task to run at a specific time or after a delay.

Args: task_name: Task to run (opus_test, export_chunks, get_stats) run_at: ISO datetime for when to run (e.g. "2026-02-26T02:00:00-07:00") delay_minutes: Minutes from now to run task_params: Optional JSON string of parameters

View pending scheduled tasks.

Cancel a pending scheduled task.

Args: task_id: Full or partial UUID of the task

Add or update a routing rule for a task type.

Args: task_type: Task type name (e.g. "code_review", "summarization") tier: Model tier — haiku, sonnet, or opus reason: Why this tier is appropriate

Get estimated cost report by model and project.

Args: project: Optional project filter

Record a failed attempt for a chunk and get retry guidance.

Call this when a model call fails (e.g. 500 error). Sprout tracks retry count and tells you whether to retry or escalate.

Args: chunk_id: The chunk ID that failed error_message: The error message from the failed attempt