Files
leocrm/app/schemas/ai_copilot.py
T
leocrm-bot 851e7999ba T09: KI-Copilot API + Hybrid Workflow Engine + LLM client + event-triggered workflows
- KI-Copilot: NL query → proposed actions, execute with RBAC, history, audit logging
- LLM client: mock mode (no API key) + OpenAI-compatible mode (AI_MODEL/AI_API_KEY)
- Action mapper: NL intent → API calls (create/update/delete/search company/contact)
- Workflow engine: step types (action/approval/notification/condition), JSONB steps
- Workflow lifecycle: pending → in_progress → completed/rejected/cancelled
- Event-triggered workflows: event bus → auto-start instances
- Code-engine workflows: onboarding on user.created event
- Approval timeout: auto-reject after configured hours
- 5 new tenant-scoped tables with RLS: ai_conversations, ai_messages, workflows, workflow_instances, workflow_step_history
- Migration 0004: all tables + RLS policies + tenant_id + indexes
- 238 tests pass (30 AC + 105 coverage + 103 existing), 84.12% T09 module coverage
- MissingGreenlet fix: safe accessor helpers for async ORM attribute access
2026-06-29 08:02:15 +02:00

63 lines
1.7 KiB
Python

"""AI Copilot schemas — query, execute, history."""
from __future__ import annotations
from pydantic import BaseModel, Field
class CopilotQueryRequest(BaseModel):
"""Natural language query to the AI copilot."""
query: str = Field(..., min_length=1, max_length=2000)
conversation_id: str | None = None
context: dict = Field(default_factory=dict)
class CopilotAction(BaseModel):
"""A proposed API action derived from NL input."""
method: str = Field(..., pattern="^(GET|POST|PATCH|DELETE)$")
path: str = Field(..., min_length=1)
body: dict | None = None
description: str = ""
confidence: float = Field(0.0, ge=0.0, le=1.0)
class CopilotQueryResponse(BaseModel):
"""Response from copilot query — proposed actions for user confirmation."""
conversation_id: str
message: str
proposed_actions: list[CopilotAction] = Field(default_factory=list)
class CopilotExecuteRequest(BaseModel):
"""Execute a proposed action after user confirmation."""
conversation_id: str
action: CopilotAction
class CopilotExecuteResponse(BaseModel):
"""Result of executing a proposed action."""
conversation_id: str
success: bool
status_code: int
data: dict | list | None = None
error: str | None = None
class CopilotMessageResponse(BaseModel):
"""A single message in conversation history."""
id: str
role: str
content: str
proposed_actions: list[dict] | None = None
executed_action: dict | None = None
execution_result: dict | None = None
created_at: str | None = None
class CopilotHistoryResponse(BaseModel):
"""Paginated conversation history."""
items: list[CopilotMessageResponse]
total: int
page: int
page_size: int