ppt-tool/backend/models/llm_message.py
Vadym Samoilenko cf21ba4516 Phase 1-2: Foundation + Admin Panel & Client Management
Phase 1 (Foundation):
- Project restructure (presenton-main → backend/ + frontend/)
- Database schema (8 new models, Alembic config, seed script)
- Auth (Azure AD SSO + dev bypass, JWT sessions, AuthMiddleware)
- RBAC (access_service, rbac_middleware, admin routers)
- Audit logging (fire-and-forget, AuditMiddleware, admin router)
- i18n (react-i18next with 5 namespace files)

Phase 2 (Admin Panel & Client Management):
- Admin panel shell (sidebar layout, role guard, 12 pages)
- Redux admin slice with 18 async thunks
- User management (role changes, deactivation)
- Client management (CRUD, brand config, team management)
- Brand config editor (colors, fonts, logos, voice rules)
- Master deck upload & parser (PPTX → HTML → React pipeline)
- Audit log viewer with filters and CSV/JSON export

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:37:17 +00:00

59 lines
1.3 KiB
Python

from typing import Any, List, Literal, Optional
from pydantic import BaseModel
from google.genai.types import Content as GoogleContent
from models.llm_tool_call import AnthropicToolCall
class LLMMessage(BaseModel):
pass
class LLMUserMessage(LLMMessage):
role: Literal["user"] = "user"
content: str
class LLMSystemMessage(LLMMessage):
role: Literal["system"] = "system"
content: str
class OpenAIAssistantMessage(LLMMessage):
role: Literal["assistant"] = "assistant"
content: str | None = None
tool_calls: Optional[List[dict]] = None
class GoogleAssistantMessage(LLMMessage):
role: Literal["assistant"] = "assistant"
content: GoogleContent
class AnthropicAssistantMessage(LLMMessage):
role: Literal["assistant"] = "assistant"
content: List[AnthropicToolCall]
class AnthropicToolCallMessage(LLMMessage):
type: Literal["tool_result"] = "tool_result"
tool_use_id: str
content: str
class AnthropicUserMessage(LLMMessage):
role: Literal["user"] = "user"
content: List[AnthropicToolCallMessage]
class OpenAIToolCallMessage(LLMMessage):
role: Literal["tool"] = "tool"
content: str
tool_call_id: str
class GoogleToolCallMessage(LLMMessage):
role: Literal["tool"] = "tool"
id: Optional[str] = None
name: str
response: dict