2e6597ee08
Backend changes: - Add admin analytics endpoints for daily usage per user - Add GET /tokens/daily-users endpoint with date/user breakdown - Update OpenAI SDK from 1.58.1 to 2.6.1 - Switch from Assistants API to Responses API with file_search tool - Implement strict RAG-only system instructions - Add citation validation to prevent hallucinations - Add get_daily_usage_by_user repository method - Add DailyUserUsage schema for admin analytics Frontend changes: - Implement comprehensive admin usage dashboard - Add overall system statistics (users, conversations, messages, tokens, cost) - Add daily usage table with per-user breakdown - Add chat state clearing on logout and user change for isolation - Center welcome message and input field in chat interface - Add admin-specific styling for usage analytics tables - Fix useCallback dependencies to prevent infinite loops Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
53 lines
1.1 KiB
Python
53 lines
1.1 KiB
Python
"""
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Token Usage Schemas
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Pydantic models for token usage analytics
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"""
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from pydantic import BaseModel
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from typing import List, Optional
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class TokenUsageSummary(BaseModel):
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"""Token usage summary for user"""
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total_tokens: int
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total_cost_usd: float
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daily_breakdown: List[dict]
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period_days: Optional[int] = None
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class DailyUsage(BaseModel):
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"""Daily token usage"""
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date: str
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tokens: int
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cost: float
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class UserTokenStats(BaseModel):
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"""Token usage statistics per user (for admin)"""
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user_id: str
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user_email: str
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user_name: str
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total_tokens: int
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prompt_tokens: int
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completion_tokens: int
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cached_tokens: int
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total_cost_usd: float
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message_count: int
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conversation_count: int
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avg_tokens_per_message: float
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last_activity: Optional[str] = None
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class DailyUserUsage(BaseModel):
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"""Daily token usage per user (for admin)"""
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date: str
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user_id: str
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user_email: str
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user_name: str
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total_tokens: int
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prompt_tokens: int
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completion_tokens: int
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cached_tokens: int
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total_cost_usd: float
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message_count: int
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