Added new confidence values (very_high, almost_certain) to all workflow tools to provide more granular confidence tracking. Updated enum declarations in: - analyze.py, codereview.py, debug.py, precommit.py, secaudit.py, testgen.py - Updated debug.py's get_required_actions to handle new confidence values - All tools now use consistent 7-value confidence scale - refactor.py kept its unique scale (exploring/incomplete/partial/complete) Also fixed model thinking configuration: - Added very_high and almost_certain to MODEL_THINKING_PREFERENCES - Set medium thinking for very_high, high thinking for almost_certain - Updated prompts to clarify certain means 100% local confidence 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
174 lines
6.2 KiB
Python
174 lines
6.2 KiB
Python
"""
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Schema builders for workflow MCP tools.
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This module provides workflow-specific schema generation functionality,
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keeping workflow concerns separated from simple tool concerns.
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"""
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from typing import Any
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from ..shared.base_models import WORKFLOW_FIELD_DESCRIPTIONS
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from ..shared.schema_builders import SchemaBuilder
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class WorkflowSchemaBuilder:
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"""
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Schema builder for workflow MCP tools.
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This class extends the base SchemaBuilder with workflow-specific fields
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and schema generation logic, maintaining separation of concerns.
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"""
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# Workflow-specific field schemas
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WORKFLOW_FIELD_SCHEMAS = {
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"step": {
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"type": "string",
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"description": WORKFLOW_FIELD_DESCRIPTIONS["step"],
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},
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"step_number": {
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"type": "integer",
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"minimum": 1,
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"description": WORKFLOW_FIELD_DESCRIPTIONS["step_number"],
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},
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"total_steps": {
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"type": "integer",
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"minimum": 1,
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"description": WORKFLOW_FIELD_DESCRIPTIONS["total_steps"],
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},
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"next_step_required": {
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"type": "boolean",
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"description": WORKFLOW_FIELD_DESCRIPTIONS["next_step_required"],
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},
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"findings": {
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"type": "string",
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"description": WORKFLOW_FIELD_DESCRIPTIONS["findings"],
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},
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"files_checked": {
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"type": "array",
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"items": {"type": "string"},
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"description": WORKFLOW_FIELD_DESCRIPTIONS["files_checked"],
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},
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"relevant_files": {
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"type": "array",
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"items": {"type": "string"},
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"description": WORKFLOW_FIELD_DESCRIPTIONS["relevant_files"],
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},
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"relevant_context": {
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"type": "array",
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"items": {"type": "string"},
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"description": WORKFLOW_FIELD_DESCRIPTIONS["relevant_context"],
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},
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"issues_found": {
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"type": "array",
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"items": {"type": "object"},
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"description": WORKFLOW_FIELD_DESCRIPTIONS["issues_found"],
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},
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"confidence": {
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"type": "string",
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"enum": ["exploring", "low", "medium", "high", "very_high", "almost_certain", "certain"],
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"description": WORKFLOW_FIELD_DESCRIPTIONS["confidence"],
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},
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"hypothesis": {
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"type": "string",
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"description": WORKFLOW_FIELD_DESCRIPTIONS["hypothesis"],
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},
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"backtrack_from_step": {
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"type": "integer",
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"minimum": 1,
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"description": WORKFLOW_FIELD_DESCRIPTIONS["backtrack_from_step"],
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},
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"use_assistant_model": {
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"type": "boolean",
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"default": True,
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"description": WORKFLOW_FIELD_DESCRIPTIONS["use_assistant_model"],
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},
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}
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@staticmethod
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def build_schema(
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tool_specific_fields: dict[str, dict[str, Any]] = None,
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required_fields: list[str] = None,
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model_field_schema: dict[str, Any] = None,
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auto_mode: bool = False,
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tool_name: str = None,
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excluded_workflow_fields: list[str] = None,
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excluded_common_fields: list[str] = None,
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) -> dict[str, Any]:
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"""
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Build complete schema for workflow tools.
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Args:
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tool_specific_fields: Additional fields specific to the tool
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required_fields: List of required field names (beyond workflow defaults)
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model_field_schema: Schema for the model field
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auto_mode: Whether the tool is in auto mode (affects model requirement)
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tool_name: Name of the tool (for schema title)
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excluded_workflow_fields: Workflow fields to exclude from schema (e.g., for planning tools)
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excluded_common_fields: Common fields to exclude from schema
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Returns:
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Complete JSON schema for the workflow tool
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"""
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properties = {}
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# Add workflow fields first, excluding any specified fields
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workflow_fields = WorkflowSchemaBuilder.WORKFLOW_FIELD_SCHEMAS.copy()
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if excluded_workflow_fields:
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for field in excluded_workflow_fields:
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workflow_fields.pop(field, None)
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properties.update(workflow_fields)
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# Add common fields (temperature, thinking_mode, etc.) from base builder, excluding any specified fields
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common_fields = SchemaBuilder.COMMON_FIELD_SCHEMAS.copy()
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if excluded_common_fields:
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for field in excluded_common_fields:
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common_fields.pop(field, None)
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properties.update(common_fields)
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# Add model field if provided
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if model_field_schema:
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properties["model"] = model_field_schema
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# Add tool-specific fields if provided
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if tool_specific_fields:
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properties.update(tool_specific_fields)
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# Build required fields list - workflow tools have standard required fields
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standard_required = ["step", "step_number", "total_steps", "next_step_required", "findings"]
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# Filter out excluded fields from required fields
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if excluded_workflow_fields:
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standard_required = [field for field in standard_required if field not in excluded_workflow_fields]
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required = standard_required + (required_fields or [])
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if auto_mode and "model" not in required:
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required.append("model")
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# Build the complete schema
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schema = {
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"$schema": "http://json-schema.org/draft-07/schema#",
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"type": "object",
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"properties": properties,
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"required": required,
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"additionalProperties": False,
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}
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if tool_name:
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schema["title"] = f"{tool_name.capitalize()}Request"
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return schema
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@staticmethod
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def get_workflow_fields() -> dict[str, dict[str, Any]]:
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"""Get the standard field schemas for workflow tools."""
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combined = {}
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combined.update(WorkflowSchemaBuilder.WORKFLOW_FIELD_SCHEMAS)
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combined.update(SchemaBuilder.COMMON_FIELD_SCHEMAS)
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return combined
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@staticmethod
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def get_workflow_only_fields() -> dict[str, dict[str, Any]]:
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"""Get only the workflow-specific field schemas."""
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return WorkflowSchemaBuilder.WORKFLOW_FIELD_SCHEMAS.copy()
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