mirror of
https://github.com/katanemo/plano.git
synced 2026-06-17 15:25:17 +02:00
introduce travel agent
This commit is contained in:
Musa
parent
06ba0b5588
commit
082a8c0d93
12 changed files with 2693 additions and 1148 deletions
|
|
@ -1,56 +1,36 @@
|
|||
# Travel Booking Demo
|
||||
# Travel Booking Agent Demo
|
||||
|
||||
A multi-agent travel booking system demonstrating archgw's agent router with specialized agents for weather, flights, and hotels.
|
||||
A production-ready multi-agent travel booking system demonstrating Plano's intelligent agent routing. This demo showcases three specialized agents working together to help users plan trips with weather information, flight searches, and currency exchange rates.
|
||||
|
||||
## Architecture
|
||||
## Overview
|
||||
|
||||
This demo consists of three intelligent agents:
|
||||
This demo consists of three intelligent agents that work together seamlessly:
|
||||
|
||||
1. **Weather Agent** (REST) - Provides current weather and forecasts for destinations worldwide
|
||||
2. **Flight Agent** (REST) - Searches and books flights between cities with pricing and availability
|
||||
3. **Hotel Agent** (REST) - Searches and reserves hotel rooms with preferences and pricing
|
||||
- **Weather Agent** - Real-time weather conditions and forecasts for any city worldwide
|
||||
- **Flight Agent** - Live flight information between airports with real-time tracking
|
||||
- **Currency Agent** - Real-time currency exchange rates and conversions
|
||||
|
||||
All agents use archgw's agent router to intelligently route user requests to the appropriate specialized agent.
|
||||
All agents use Plano's agent router to intelligently route user requests to the appropriate specialized agent based on conversation context and user intent.
|
||||
|
||||
## Components
|
||||
## Features
|
||||
|
||||
### Weather Forecast Agent
|
||||
- **Port**: 10510
|
||||
- **Endpoint**: `/v1/chat/completions`
|
||||
- Provides weather information and forecasts for any location
|
||||
- Returns temperature, conditions, humidity, and wind speed
|
||||
- Supports multi-day forecasts
|
||||
- **Intelligent Routing**: Plano automatically routes requests to the right agent
|
||||
- **Conversation Context**: Agents understand follow-up questions and references
|
||||
- **Real-Time Data**: Live weather, flight, and currency data from public APIs
|
||||
- **LLM-Powered**: Uses GPT-4o-mini for extraction and GPT-4o for responses
|
||||
- **Streaming Responses**: Real-time streaming for better user experience
|
||||
|
||||
### Flight Booking Agent
|
||||
- **Port**: 10520
|
||||
- **Endpoint**: `/v1/chat/completions`
|
||||
- Searches for flights between cities
|
||||
- Returns flight options with airlines, times, prices, and durations
|
||||
- Supports booking confirmations
|
||||
## Prerequisites
|
||||
|
||||
### Hotel Reservation Agent
|
||||
- **Port**: 10530
|
||||
- **Endpoint**: `/v1/chat/completions`
|
||||
- Searches for hotels in any city
|
||||
- Returns hotel options with ratings, amenities, prices, and locations
|
||||
- Supports reservation confirmations
|
||||
- Python 3.10 or higher
|
||||
- [UV package manager](https://github.com/astral-sh/uv) (recommended) or pip
|
||||
- OpenAI API key
|
||||
- [Plano CLI](https://docs.planoai.dev) installed
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Prerequisites
|
||||
- Python 3.10 or higher
|
||||
- UV package manager (recommended) or pip
|
||||
- OpenAI API key
|
||||
- archgw installed and configured
|
||||
### 1. Install Dependencies
|
||||
|
||||
### 1. Set up environment
|
||||
```bash
|
||||
# Copy and edit the .env file with your OpenAI API key
|
||||
cp .env.example .env
|
||||
# Edit .env and add your OPENAI_API_KEY
|
||||
```
|
||||
|
||||
### 2. Install dependencies
|
||||
```bash
|
||||
# Using UV (recommended)
|
||||
uv sync
|
||||
|
|
@ -59,7 +39,17 @@ uv sync
|
|||
pip install -e .
|
||||
```
|
||||
|
||||
### 3. Start all agents
|
||||
### 2. Set Environment Variables
|
||||
|
||||
Create a `.env` file or export environment variables:
|
||||
|
||||
```bash
|
||||
export OPENAI_API_KEY="your-openai-api-key"
|
||||
export AEROAPI_KEY="your-flightaware-api-key" # Optional, demo key included
|
||||
```
|
||||
|
||||
### 3. Start All Agents
|
||||
|
||||
```bash
|
||||
chmod +x start_agents.sh
|
||||
./start_agents.sh
|
||||
|
|
@ -68,206 +58,153 @@ chmod +x start_agents.sh
|
|||
This starts:
|
||||
- Weather Agent on port 10510
|
||||
- Flight Agent on port 10520
|
||||
- Hotel Agent on port 10530
|
||||
- Currency Agent on port 10530
|
||||
|
||||
### 4. Start Plano Orchestrator
|
||||
|
||||
### 4. Start archgw
|
||||
In a new terminal:
|
||||
|
||||
```bash
|
||||
cd /path/to/travel_booking
|
||||
archgw up --foreground
|
||||
plano up arch_config.yaml
|
||||
```
|
||||
|
||||
### 5. Test the system
|
||||
The gateway will start on port 8001 and route requests to the appropriate agents.
|
||||
|
||||
### 5. Test the System
|
||||
|
||||
Send requests to Plano Orchestrator:
|
||||
|
||||
#### Weather Query
|
||||
```bash
|
||||
curl -X POST http://localhost:8001/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "gpt-4o-mini",
|
||||
"model": "gpt-4o",
|
||||
"messages": [
|
||||
{"role": "user", "content": "What is the weather like in Paris?"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
#### Flight Search
|
||||
```bash
|
||||
curl -X POST http://localhost:8001/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "gpt-4o-mini",
|
||||
"messages": [
|
||||
{"role": "user", "content": "Find me flights from New York to London next week"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
#### Hotel Search
|
||||
```bash
|
||||
curl -X POST http://localhost:8001/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"model": "gpt-4o-mini",
|
||||
"messages": [
|
||||
{"role": "user", "content": "I need a hotel in Tokyo for 3 nights"}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
### 6. Use with Open WebUI (Optional)
|
||||
|
||||
Start the docker compose services:
|
||||
```bash
|
||||
docker-compose up -d
|
||||
```
|
||||
|
||||
Then open http://localhost:8080 in your browser. The Open WebUI is pre-configured to use the archgw endpoint at http://host.docker.internal:8001/v1.
|
||||
|
||||
## Example Conversations
|
||||
|
||||
### Weather Query
|
||||
```
|
||||
User: What's the weather in Istanbul?
|
||||
Assistant: [Weather Agent provides current conditions and forecast]
|
||||
```
|
||||
|
||||
### Flight Search
|
||||
```
|
||||
User: What flights go from London to Seattle?
|
||||
Assistant: [Flight Agent shows available flights with schedules and status]
|
||||
```
|
||||
|
||||
### Currency Exchange
|
||||
```
|
||||
User: What's the exchange rate for Turkish Lira to USD?
|
||||
Assistant: [Currency Agent provides current exchange rate]
|
||||
```
|
||||
|
||||
### Multi-Agent Conversation
|
||||
The system can handle complex travel planning that involves multiple agents:
|
||||
|
||||
```
|
||||
User: I'm planning a trip to Tokyo next month. What's the weather like?
|
||||
Assistant: [Weather Agent provides Tokyo weather forecast]
|
||||
User: What's the weather in Istanbul?
|
||||
Assistant: [Weather information]
|
||||
|
||||
User: Great! Can you find me flights from San Francisco to Tokyo?
|
||||
Assistant: [Flight Agent shows flight options]
|
||||
User: What's their exchange rate?
|
||||
Assistant: [Currency rate for Turkey]
|
||||
|
||||
User: I'll take the United flight. Now I need a hotel near the city center.
|
||||
Assistant: [Hotel Agent shows hotel options in Tokyo]
|
||||
User: Do they fly out from Seattle?
|
||||
Assistant: [Flight information from Istanbul to Seattle]
|
||||
```
|
||||
|
||||
The archgw agent router automatically routes each request to the appropriate agent based on the content.
|
||||
The system understands context and pronouns, automatically routing to the right agent.
|
||||
|
||||
## Agent Capabilities
|
||||
## Agent Details
|
||||
|
||||
### Weather Agent
|
||||
- Current weather conditions
|
||||
- 5-day forecasts
|
||||
- Temperature (Celsius and Fahrenheit)
|
||||
- Humidity and wind speed
|
||||
- Weather conditions (sunny, cloudy, rainy, etc.)
|
||||
- **Port**: 10510
|
||||
- **API**: Open-Meteo (free, no API key)
|
||||
- **Capabilities**: Current weather, multi-day forecasts, temperature, conditions, sunrise/sunset
|
||||
|
||||
### Flight Agent
|
||||
- Flight search between any two cities
|
||||
- Multiple airline options
|
||||
- Flight times and durations
|
||||
- Pricing information
|
||||
- Direct and connecting flights
|
||||
- Seat availability
|
||||
- Booking confirmations
|
||||
- **Port**: 10520
|
||||
- **API**: FlightAware AeroAPI
|
||||
- **Capabilities**: Real-time flight status, schedules, delays, gates, terminals, live tracking
|
||||
|
||||
### Hotel Agent
|
||||
- Hotel search by city
|
||||
- Check-in/check-out date support
|
||||
- Hotel ratings and reviews
|
||||
- Amenities listing
|
||||
- Distance from city center
|
||||
- Pricing per night and total
|
||||
- Room availability
|
||||
- Reservation confirmations
|
||||
### Currency Agent
|
||||
- **Port**: 10530
|
||||
- **API**: Frankfurter (free, no API key)
|
||||
- **Capabilities**: Exchange rates, currency conversions, historical rates
|
||||
|
||||
## Architecture Details
|
||||
## Architecture
|
||||
|
||||
### Agent Routing
|
||||
archgw's agent router analyzes incoming requests and automatically routes them to the most appropriate agent based on:
|
||||
- Request content and intent
|
||||
- Agent descriptions in arch_config.yaml
|
||||
- Conversation context
|
||||
|
||||
### Request Flow
|
||||
1. User sends a request to archgw (port 8001)
|
||||
2. archgw's agent router analyzes the request
|
||||
3. Router selects the appropriate agent (weather, flight, or hotel)
|
||||
4. Agent processes the request using archgw's LLM gateway
|
||||
5. Response streams back to the user
|
||||
|
||||
### Tracing
|
||||
The demo includes Jaeger for distributed tracing:
|
||||
- View traces at http://localhost:16686
|
||||
- Trace sampling set to 100% for demo purposes
|
||||
- Track requests across archgw and agents
|
||||
|
||||
## Development
|
||||
|
||||
### Running Individual Agents
|
||||
You can start agents individually for development:
|
||||
|
||||
```bash
|
||||
# Weather agent
|
||||
uv run python -m travel_agents --agent weather --port 10510
|
||||
|
||||
# Flight agent
|
||||
uv run python -m travel_agents --agent flight --port 10520
|
||||
|
||||
# Hotel agent
|
||||
uv run python -m travel_agents --agent hotel --port 10530
|
||||
```
|
||||
User Request → Plano Gateway (port 8001)
|
||||
↓
|
||||
Agent Router (LLM-based)
|
||||
↓
|
||||
┌───────────┼───────────┐
|
||||
↓ ↓ ↓
|
||||
Weather Flight Currency
|
||||
Agent Agent Agent
|
||||
(10510) (10520) (10530)
|
||||
```
|
||||
|
||||
### Project Structure
|
||||
```
|
||||
travel_booking/
|
||||
├── arch_config.yaml # archgw configuration
|
||||
├── docker-compose.yaml # Optional services (Jaeger, Open WebUI)
|
||||
├── pyproject.toml # Python dependencies
|
||||
├── start_agents.sh # Start all agents script
|
||||
├── .env # Environment variables
|
||||
└── src/
|
||||
└── travel_agents/
|
||||
├── __init__.py # CLI entry point
|
||||
├── __main__.py # Module runner
|
||||
├── api.py # Shared API models
|
||||
├── weather_agent.py # Weather forecast agent
|
||||
├── flight_agent.py # Flight booking agent
|
||||
└── hotel_agent.py # Hotel reservation agent
|
||||
```
|
||||
Each agent:
|
||||
1. Extracts intent using GPT-4o-mini
|
||||
2. Fetches real-time data from APIs
|
||||
3. Generates response using GPT-4o
|
||||
4. Streams response back to user
|
||||
|
||||
## Configuration
|
||||
|
||||
### arch_config.yaml
|
||||
The configuration defines:
|
||||
- Three agents with their URLs and descriptions
|
||||
- Model providers (OpenAI)
|
||||
- Model aliases for easy reference
|
||||
- Agent router on port 8001
|
||||
- Tracing configuration
|
||||
### plano_config.yaml
|
||||
|
||||
Defines the three agents, their descriptions, and routing configuration. The agent router uses these descriptions to intelligently route requests.
|
||||
|
||||
### Environment Variables
|
||||
- `OPENAI_API_KEY`: Your OpenAI API key (required)
|
||||
- `LLM_GATEWAY_ENDPOINT`: archgw LLM gateway URL (default: http://localhost:12000/v1)
|
||||
|
||||
- `OPENAI_API_KEY` - Required for LLM operations
|
||||
- `AEROAPI_KEY` - Optional, FlightAware API key (demo key included)
|
||||
- `LLM_GATEWAY_ENDPOINT` - Plano LLM gateway URL (default: http://localhost:12000/v1)
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
travel_booking/
|
||||
├── arch_config.yaml # Plano configuration
|
||||
├── start_agents.sh # Start all agents script
|
||||
├── pyproject.toml # Python dependencies
|
||||
└── src/
|
||||
└── travel_agents/
|
||||
├── __init__.py # CLI entry point
|
||||
├── api.py # Shared API models
|
||||
├── weather_agent.py # Weather forecast agent
|
||||
├── flight_agent.py # Flight information agent
|
||||
└── currency_agent.py # Currency exchange agent
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Agents won't start
|
||||
**Agents won't start**
|
||||
- Ensure Python 3.10+ is installed
|
||||
- Check that UV is installed: `pip install uv`
|
||||
- Verify ports 10510, 10520, 10530 are available
|
||||
|
||||
### archgw won't start
|
||||
- Make sure you're in the travel_booking directory
|
||||
- Check that OPENAI_API_KEY is set in .env
|
||||
- Verify archgw is installed: `archgw --version`
|
||||
**Plano won't start**
|
||||
- Verify Plano is installed: `plano --version`
|
||||
- Check that `OPENAI_API_KEY` is set
|
||||
- Ensure you're in the travel_booking directory
|
||||
|
||||
### No response from agents
|
||||
- Check that all agents are running (check start_agents.sh output)
|
||||
- Verify archgw is running on port 8001
|
||||
- Check logs for errors
|
||||
**No response from agents**
|
||||
- Verify all agents are running (check start_agents.sh output)
|
||||
- Check that Plano is running on port 8001
|
||||
- Review agent logs for errors
|
||||
|
||||
### Wrong agent responds
|
||||
- The agent router uses LLM-based routing
|
||||
- If routing is incorrect, try being more explicit in your request
|
||||
- Check agent descriptions in arch_config.yaml
|
||||
## API Endpoints
|
||||
|
||||
## Notes
|
||||
All agents expose OpenAI-compatible chat completion endpoints:
|
||||
|
||||
- This is a demo with mock data - flights and hotels are simulated
|
||||
- Real implementations would integrate with actual APIs (Amadeus, Booking.com, etc.)
|
||||
- Weather data is generated randomly based on typical patterns for each city
|
||||
- All agents use streaming responses for better user experience
|
||||
|
||||
## License
|
||||
|
||||
This demo is part of the archgw project.
|
||||
- `POST /v1/chat/completions` - Chat completion endpoint
|
||||
- `GET /health` - Health check endpoint
|
||||
|
|
|
|||
|
|
@ -5,12 +5,14 @@ agents:
|
|||
url: http://host.docker.internal:10510
|
||||
- id: flight_agent
|
||||
url: http://host.docker.internal:10520
|
||||
- id: hotel_agent
|
||||
- id: currency_agent
|
||||
url: http://host.docker.internal:10530
|
||||
|
||||
model_providers:
|
||||
- model: openai/gpt-4o
|
||||
access_key: $OPENAI_API_KEY
|
||||
- model: openai/gpt-4o-mini
|
||||
access_key: $OPENAI_API_KEY
|
||||
|
||||
listeners:
|
||||
- type: agent
|
||||
|
|
@ -19,11 +21,11 @@ listeners:
|
|||
router: plano_orchestrator_v1
|
||||
agents:
|
||||
- id: weather_agent
|
||||
description: Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed). Provides temperature, humidity, wind speed, precipitation, and detailed weather conditions.
|
||||
description: Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed). Provides current temperature, multi-day forecasts, weather conditions, sunrise/sunset times, and detailed weather information. Understands conversation context to resolve location references from previous messages.
|
||||
- id: flight_agent
|
||||
description: Get live flight information between airports using AviationStack API. Shows real-time flight status, scheduled/actual departure and arrival times, gate information, and whether flights are in the air. Uses IATA airport codes (e.g., JFK, LAX, LHR). Displays current and scheduled flights with live tracking data.
|
||||
description: Get live flight information between airports using FlightAware AeroAPI. Shows real-time flight status, scheduled/estimated/actual departure and arrival times, gate and terminal information, delays, aircraft type, and flight status. Automatically resolves city names to airport codes (IATA/ICAO). Understands conversation context to infer origin/destination from follow-up questions. Supports queries like "What flights go from London to Seattle?" or "Do they fly out from Seattle?" (using context from previous messages).
|
||||
- id: currency_agent
|
||||
description: Get real-time currency exchange rates and perform currency conversions using Frankfurter API (free, no API key needed). Provides latest exchange rates, historical rates, and currency conversions between any supported currencies. Uses standard 3-letter currency codes (e.g., USD, EUR, GBP, JPY).
|
||||
description: Get real-time currency exchange rates and perform currency conversions using Frankfurter API (free, no API key needed). Provides latest exchange rates, currency conversions with amount calculations, and supports any currency pair. Automatically extracts currency codes from country names and conversation context. Understands pronouns like "their currency" when referring to previously mentioned countries. Uses standard 3-letter ISO currency codes (e.g., USD, EUR, GBP, JPY, PKR).
|
||||
|
||||
tracing:
|
||||
random_sampling: 100
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
[project]
|
||||
name = "travel-agents"
|
||||
version = "0.1.0"
|
||||
description = "Travel Booking Agents - Weather, Flight, and Hotel"
|
||||
description = "Travel Booking Agents - Weather, Flight, and Currency"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
|
|
@ -10,6 +10,7 @@ dependencies = [
|
|||
"fastapi>=0.104.1",
|
||||
"uvicorn>=0.24.0",
|
||||
"openai>=2.13.0",
|
||||
"httpx>=0.24.0",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
|
|
|||
|
|
@ -8,16 +8,14 @@ import click
|
|||
"--agent",
|
||||
"agent",
|
||||
required=True,
|
||||
help="Agent name: weather, flight, or hotel",
|
||||
help="Agent name: weather, flight, or currency",
|
||||
)
|
||||
def main(host, port, agent):
|
||||
"""Start a travel agent REST server."""
|
||||
|
||||
# Map friendly names to agent modules
|
||||
agent_map = {
|
||||
"weather": ("travel_agents.weather_agent", 10510),
|
||||
"flight": ("travel_agents.flight_agent", 10520),
|
||||
"hotel": ("travel_agents.hotel_agent", 10530),
|
||||
"currency": ("travel_agents.currency_agent", 10530),
|
||||
}
|
||||
|
||||
if agent not in agent_map:
|
||||
|
|
@ -27,13 +25,11 @@ def main(host, port, agent):
|
|||
|
||||
module_name, default_port = agent_map[agent]
|
||||
|
||||
# Use default port if not specified
|
||||
if port == 8000:
|
||||
port = default_port
|
||||
|
||||
print(f"Starting {agent} agent REST server on {host}:{port}")
|
||||
|
||||
# Import the agent module and start server
|
||||
if agent == "weather":
|
||||
from travel_agents.weather_agent import start_server
|
||||
|
||||
|
|
@ -42,8 +38,8 @@ def main(host, port, agent):
|
|||
from travel_agents.flight_agent import start_server
|
||||
|
||||
start_server(host=host, port=port)
|
||||
elif agent == "hotel":
|
||||
from travel_agents.hotel_agent import start_server
|
||||
elif agent == "currency":
|
||||
from travel_agents.currency_agent import start_server
|
||||
|
||||
start_server(host=host, port=port)
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,513 @@
|
|||
import json
|
||||
from fastapi import FastAPI, Request
|
||||
from fastapi.responses import StreamingResponse
|
||||
from openai import AsyncOpenAI
|
||||
import os
|
||||
import logging
|
||||
import time
|
||||
import uuid
|
||||
import uvicorn
|
||||
import httpx
|
||||
from typing import Optional
|
||||
from urllib.parse import quote
|
||||
from .api import (
|
||||
ChatCompletionRequest,
|
||||
ChatCompletionStreamResponse,
|
||||
)
|
||||
|
||||
# Set up logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s - [CURRENCY_AGENT] - %(levelname)s - %(message)s",
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Configuration for archgw LLM gateway
|
||||
LLM_GATEWAY_ENDPOINT = os.getenv("LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1")
|
||||
CURRENCY_MODEL = "openai/gpt-4o"
|
||||
CURRENCY_EXTRACTION_MODEL = "openai/gpt-4o-mini"
|
||||
|
||||
# HTTP client for API calls
|
||||
http_client = httpx.AsyncClient(timeout=10.0)
|
||||
|
||||
# Initialize OpenAI client for archgw
|
||||
archgw_client = AsyncOpenAI(
|
||||
base_url=LLM_GATEWAY_ENDPOINT,
|
||||
api_key="EMPTY",
|
||||
)
|
||||
|
||||
# System prompt for currency agent
|
||||
SYSTEM_PROMPT = """You are a helpful currency exchange assistant. Your role is to provide accurate, clear, and helpful currency exchange information based on the structured currency exchange data provided to you.
|
||||
|
||||
CRITICAL INSTRUCTIONS:
|
||||
|
||||
1. DATA STRUCTURE:
|
||||
- You will receive currency exchange data as JSON in a system message
|
||||
- The data contains a "from_currency" field (string) and a "to_currency" field (string)
|
||||
- The data also contains a "rate" field (float) representing how many units of to_currency equal 1 unit of from_currency
|
||||
- The data may include a "date" field showing when the rate was retrieved
|
||||
- Some fields may be null/None - handle these gracefully
|
||||
|
||||
2. RATE INTERPRETATION:
|
||||
- The rate shows how many units of the target currency equal 1 unit of the base currency
|
||||
- Example: If rate is 0.85 for USD to EUR, it means 1 USD = 0.85 EUR
|
||||
- Always explain conversions clearly and provide context
|
||||
|
||||
3. RESPONSE FORMAT:
|
||||
- Provide the exchange rate clearly
|
||||
- If an amount was mentioned, perform the conversion
|
||||
- Include the date of the rate if available
|
||||
- Use natural, conversational language
|
||||
- Be concise but complete
|
||||
|
||||
4. ERROR HANDLING:
|
||||
- If rate data is missing or null, acknowledge this politely
|
||||
- Never invent or guess exchange rates - only use what's provided
|
||||
- If currency codes are unclear, mention this in your response
|
||||
|
||||
Remember: Only use the data provided. Never fabricate currency exchange information. If data is missing, clearly state what's unavailable."""
|
||||
|
||||
|
||||
CURRENCY_EXTRACTION_PROMPT = """You are a currency information extraction assistant. Your ONLY job is to extract currency-related information from user messages and convert it to standard 3-letter ISO currency codes.
|
||||
|
||||
CRITICAL RULES:
|
||||
1. Extract currency codes (3-letter ISO codes like USD, EUR, GBP, JPY, PKR, etc.) from the message AND conversation context
|
||||
2. Extract any mentioned amounts or numbers that might be currency amounts
|
||||
3. PAY ATTENTION TO CONVERSATION CONTEXT:
|
||||
- If previous messages mention a country/city, use that context to resolve pronouns like "their", "that country", "there", etc.
|
||||
- Example: If previous message was "What's the weather in Lahore, Pakistan?" and current message is "What is their currency exchange rate with USD?", then "their" = Pakistan = PKR
|
||||
- Look for country names in the conversation history to infer currencies
|
||||
4. If country names or regions are mentioned (in current message OR conversation context), convert them to their standard currency codes:
|
||||
- United States/USA/US → USD
|
||||
- Europe/Eurozone/France/Germany/Italy/Spain/etc. → EUR
|
||||
- United Kingdom/UK/Britain → GBP
|
||||
- Japan → JPY
|
||||
- China → CNY
|
||||
- India → INR
|
||||
- Pakistan → PKR
|
||||
- Australia → AUD
|
||||
- Canada → CAD
|
||||
- Switzerland → CHF
|
||||
- South Korea → KRW
|
||||
- Singapore → SGD
|
||||
- Hong Kong → HKD
|
||||
- Brazil → BRL
|
||||
- Mexico → MXN
|
||||
- And any other countries you know the currency for
|
||||
5. Determine the FROM currency (source) and TO currency (target) based on context:
|
||||
- "from X to Y" → from_currency=X, to_currency=Y
|
||||
- "X to Y" → from_currency=X, to_currency=Y
|
||||
- "convert X to Y" → from_currency=X, to_currency=Y
|
||||
- "X in Y" → from_currency=X, to_currency=Y
|
||||
- "rate for X" or "X rate" → to_currency=X (assume USD as base)
|
||||
- "their currency with USD" or "their currency to USD" → from_currency=country_from_context, to_currency=USD
|
||||
- "X dollars/euros/pounds/etc." → from_currency=X
|
||||
6. If only one currency is mentioned, determine if it's the source or target based on context
|
||||
7. ALWAYS return currency codes, never country names in the currency fields
|
||||
8. Return your response as a JSON object with the following structure:
|
||||
{
|
||||
"from_currency": "USD" or null,
|
||||
"to_currency": "EUR" or null,
|
||||
"amount": 100.0 or null
|
||||
}
|
||||
|
||||
9. If you cannot determine a currency, use null for that field
|
||||
10. Use standard 3-letter ISO currency codes ONLY
|
||||
11. Ignore error messages, HTML tags, and assistant responses
|
||||
12. Extract from the most recent user message BUT use conversation context to resolve references
|
||||
13. Default behavior: If only one currency is mentioned without context, assume it's the target currency and use USD as the source
|
||||
|
||||
Examples with context:
|
||||
- Conversation: "What's the weather in Lahore, Pakistan?" → Current: "What is their currency exchange rate with USD?" → {"from_currency": "PKR", "to_currency": "USD", "amount": null}
|
||||
- Conversation: "Tell me about Tokyo" → Current: "What's their currency rate?" → {"from_currency": "JPY", "to_currency": "USD", "amount": null}
|
||||
- "What's the exchange rate from USD to EUR?" → {"from_currency": "USD", "to_currency": "EUR", "amount": null}
|
||||
- "Convert 100 dollars to euros" → {"from_currency": "USD", "to_currency": "EUR", "amount": 100.0}
|
||||
- "How much is 50 GBP in Japanese yen?" → {"from_currency": "GBP", "to_currency": "JPY", "amount": 50.0}
|
||||
- "What's the rate for euros?" → {"from_currency": "USD", "to_currency": "EUR", "amount": null}
|
||||
- "Convert money from United States to France" → {"from_currency": "USD", "to_currency": "EUR", "amount": null}
|
||||
- "100 pounds to dollars" → {"from_currency": "GBP", "to_currency": "USD", "amount": 100.0}
|
||||
|
||||
Now extract the currency information from this message, considering the conversation context:"""
|
||||
|
||||
|
||||
async def extract_currency_info_from_messages(messages):
|
||||
"""Extract currency information from user messages using LLM, considering conversation context."""
|
||||
# Get all messages for context (both user and assistant)
|
||||
conversation_context = []
|
||||
for msg in messages:
|
||||
# Skip error messages and HTML tags
|
||||
content = msg.content.strip()
|
||||
content_lower = content.lower()
|
||||
if any(
|
||||
pattern in content_lower
|
||||
for pattern in ["<", ">", "error:", "i apologize", "i'm having trouble"]
|
||||
):
|
||||
continue
|
||||
conversation_context.append({"role": msg.role, "content": content})
|
||||
|
||||
# Get the most recent user message
|
||||
user_messages = [msg for msg in messages if msg.role == "user"]
|
||||
|
||||
if not user_messages:
|
||||
logger.warning("No user messages found")
|
||||
return {"from_currency": "USD", "to_currency": "EUR", "amount": None}
|
||||
|
||||
# Get the most recent user message (skip error messages and HTML tags)
|
||||
user_content = None
|
||||
for msg in reversed(user_messages):
|
||||
content = msg.content.strip()
|
||||
# Skip messages with error patterns or HTML tags
|
||||
content_lower = content.lower()
|
||||
if any(
|
||||
pattern in content_lower
|
||||
for pattern in [
|
||||
"<",
|
||||
">",
|
||||
"assistant:",
|
||||
"error:",
|
||||
"i apologize",
|
||||
"i'm having trouble",
|
||||
]
|
||||
):
|
||||
continue
|
||||
user_content = content
|
||||
break
|
||||
|
||||
if not user_content:
|
||||
logger.warning("No valid user message found")
|
||||
return {"from_currency": "USD", "to_currency": "EUR", "amount": None}
|
||||
|
||||
try:
|
||||
logger.info(f"Extracting currency info from user message: {user_content[:200]}")
|
||||
logger.info(
|
||||
f"Using conversation context with {len(conversation_context)} messages"
|
||||
)
|
||||
|
||||
llm_messages = [{"role": "system", "content": CURRENCY_EXTRACTION_PROMPT}]
|
||||
|
||||
context_messages = (
|
||||
conversation_context[-10:]
|
||||
if len(conversation_context) > 10
|
||||
else conversation_context
|
||||
)
|
||||
for msg in context_messages:
|
||||
llm_messages.append({"role": msg["role"], "content": msg["content"]})
|
||||
|
||||
response = await archgw_client.chat.completions.create(
|
||||
model=CURRENCY_EXTRACTION_MODEL,
|
||||
messages=llm_messages,
|
||||
temperature=0.1,
|
||||
max_tokens=200,
|
||||
)
|
||||
|
||||
extracted_text = response.choices[0].message.content.strip()
|
||||
|
||||
try:
|
||||
if "```json" in extracted_text:
|
||||
extracted_text = (
|
||||
extracted_text.split("```json")[1].split("```")[0].strip()
|
||||
)
|
||||
elif "```" in extracted_text:
|
||||
extracted_text = extracted_text.split("```")[1].split("```")[0].strip()
|
||||
|
||||
currency_info = json.loads(extracted_text)
|
||||
|
||||
from_currency = currency_info.get("from_currency")
|
||||
to_currency = currency_info.get("to_currency")
|
||||
amount = currency_info.get("amount")
|
||||
|
||||
if not from_currency:
|
||||
from_currency = "USD"
|
||||
if not to_currency:
|
||||
to_currency = "EUR"
|
||||
|
||||
result = {
|
||||
"from_currency": from_currency,
|
||||
"to_currency": to_currency,
|
||||
"amount": amount,
|
||||
}
|
||||
|
||||
logger.info(f"LLM extracted currency info: {result}")
|
||||
return result
|
||||
|
||||
except json.JSONDecodeError as e:
|
||||
logger.warning(
|
||||
f"Failed to parse JSON from LLM response: {extracted_text}, error: {e}"
|
||||
)
|
||||
return {"from_currency": "USD", "to_currency": "EUR", "amount": None}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error extracting currency info with LLM: {e}, using defaults")
|
||||
return {"from_currency": "USD", "to_currency": "EUR", "amount": None}
|
||||
|
||||
|
||||
async def get_currency_exchange_rate(
|
||||
from_currency: str, to_currency: str
|
||||
) -> Optional[dict]:
|
||||
"""Get currency exchange rate between two currencies using Frankfurter API.
|
||||
|
||||
Uses the Frankfurter API (api.frankfurter.dev) which provides free, open-source
|
||||
currency data tracking reference exchange rates published by institutional sources.
|
||||
No API keys required.
|
||||
|
||||
Args:
|
||||
from_currency: Base currency code (e.g., "USD", "EUR")
|
||||
to_currency: Target currency code (e.g., "EUR", "GBP")
|
||||
|
||||
Returns:
|
||||
Dictionary with exchange rate data or None if error occurs
|
||||
"""
|
||||
try:
|
||||
url = f"https://api.frankfurter.dev/v1/latest?base={from_currency}&symbols={to_currency}"
|
||||
response = await http_client.get(url)
|
||||
|
||||
if response.status_code != 200:
|
||||
logger.warning(
|
||||
f"Currency API returned status {response.status_code} for {from_currency} to {to_currency}"
|
||||
)
|
||||
return None
|
||||
|
||||
data = response.json()
|
||||
|
||||
if "rates" not in data:
|
||||
logger.warning(f"Invalid API response structure: missing 'rates' field")
|
||||
return None
|
||||
|
||||
if to_currency not in data["rates"]:
|
||||
logger.warning(
|
||||
f"Currency {to_currency} not found in API response for base {from_currency}"
|
||||
)
|
||||
return None
|
||||
|
||||
return {
|
||||
"from_currency": from_currency,
|
||||
"to_currency": to_currency,
|
||||
"rate": data["rates"][to_currency],
|
||||
"date": data.get("date"),
|
||||
"base": data.get("base"),
|
||||
}
|
||||
except httpx.HTTPError as e:
|
||||
logger.error(
|
||||
f"HTTP error fetching currency rate from {from_currency} to {to_currency}: {e}"
|
||||
)
|
||||
return None
|
||||
except json.JSONDecodeError as e:
|
||||
logger.error(f"Failed to parse JSON response from currency API: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
logger.error(f"Unexpected error fetching currency rate: {e}")
|
||||
return None
|
||||
|
||||
|
||||
# FastAPI app for REST server
|
||||
app = FastAPI(title="Currency Exchange Agent", version="1.0.0")
|
||||
|
||||
|
||||
async def prepare_currency_messages(request_body: ChatCompletionRequest):
|
||||
"""Prepare messages with currency exchange data."""
|
||||
# Extract currency information from conversation using LLM
|
||||
currency_info = await extract_currency_info_from_messages(request_body.messages)
|
||||
|
||||
from_currency = currency_info["from_currency"]
|
||||
to_currency = currency_info["to_currency"]
|
||||
amount = currency_info.get("amount")
|
||||
|
||||
# Get currency exchange rate
|
||||
rate_data = await get_currency_exchange_rate(from_currency, to_currency)
|
||||
|
||||
if rate_data:
|
||||
currency_data = {
|
||||
"from_currency": rate_data["from_currency"],
|
||||
"to_currency": rate_data["to_currency"],
|
||||
"rate": rate_data["rate"],
|
||||
"date": rate_data.get("date"),
|
||||
}
|
||||
|
||||
# If an amount was mentioned, calculate the conversion
|
||||
if amount is not None:
|
||||
converted_amount = amount * rate_data["rate"]
|
||||
currency_data["original_amount"] = amount
|
||||
currency_data["converted_amount"] = round(converted_amount, 2)
|
||||
else:
|
||||
logger.warning(
|
||||
f"Could not fetch currency rate for {from_currency} to {to_currency}"
|
||||
)
|
||||
currency_data = {
|
||||
"from_currency": from_currency,
|
||||
"to_currency": to_currency,
|
||||
"rate": None,
|
||||
"error": "Could not retrieve exchange rate",
|
||||
}
|
||||
|
||||
# Create system message with currency data
|
||||
currency_context = f"""
|
||||
Current currency exchange data:
|
||||
|
||||
{json.dumps(currency_data, indent=2)}
|
||||
|
||||
Use this data to answer the user's currency exchange query.
|
||||
"""
|
||||
|
||||
response_messages = [
|
||||
{"role": "system", "content": SYSTEM_PROMPT},
|
||||
{"role": "system", "content": currency_context},
|
||||
]
|
||||
|
||||
# Add conversation history
|
||||
for msg in request_body.messages:
|
||||
response_messages.append({"role": msg.role, "content": msg.content})
|
||||
|
||||
return response_messages
|
||||
|
||||
|
||||
@app.post("/v1/chat/completions")
|
||||
async def chat_completion_http(request: Request, request_body: ChatCompletionRequest):
|
||||
"""HTTP endpoint for chat completions with streaming support."""
|
||||
logger.info(f"Received currency request with {len(request_body.messages)} messages")
|
||||
|
||||
traceparent_header = request.headers.get("traceparent")
|
||||
|
||||
if traceparent_header:
|
||||
logger.info(f"Received traceparent header: {traceparent_header}")
|
||||
|
||||
return StreamingResponse(
|
||||
stream_chat_completions(request_body, traceparent_header),
|
||||
media_type="text/plain",
|
||||
headers={
|
||||
"content-type": "text/event-stream",
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
async def stream_chat_completions(
|
||||
request_body: ChatCompletionRequest, traceparent_header: str = None
|
||||
):
|
||||
"""Generate streaming chat completions."""
|
||||
# Prepare messages with currency exchange data
|
||||
response_messages = await prepare_currency_messages(request_body)
|
||||
|
||||
try:
|
||||
logger.info(
|
||||
f"Calling archgw at {LLM_GATEWAY_ENDPOINT} to generate currency response"
|
||||
)
|
||||
|
||||
# Prepare extra headers
|
||||
extra_headers = {"x-envoy-max-retries": "3"}
|
||||
if traceparent_header:
|
||||
extra_headers["traceparent"] = traceparent_header
|
||||
|
||||
response_stream = await archgw_client.chat.completions.create(
|
||||
model=CURRENCY_MODEL,
|
||||
messages=response_messages,
|
||||
temperature=request_body.temperature or 0.7,
|
||||
max_tokens=request_body.max_tokens or 1000,
|
||||
stream=True,
|
||||
extra_headers=extra_headers,
|
||||
)
|
||||
|
||||
completion_id = f"chatcmpl-{uuid.uuid4().hex[:8]}"
|
||||
created_time = int(time.time())
|
||||
collected_content = []
|
||||
|
||||
async for chunk in response_stream:
|
||||
if chunk.choices and chunk.choices[0].delta.content:
|
||||
content = chunk.choices[0].delta.content
|
||||
collected_content.append(content)
|
||||
|
||||
stream_chunk = ChatCompletionStreamResponse(
|
||||
id=completion_id,
|
||||
created=created_time,
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {"content": content},
|
||||
"finish_reason": None,
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {stream_chunk.model_dump_json()}\n\n"
|
||||
|
||||
full_response = "".join(collected_content)
|
||||
updated_history = [{"role": "assistant", "content": full_response}]
|
||||
|
||||
final_chunk = ChatCompletionStreamResponse(
|
||||
id=completion_id,
|
||||
created=created_time,
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {},
|
||||
"finish_reason": "stop",
|
||||
"message": {
|
||||
"role": "assistant",
|
||||
"content": json.dumps(updated_history),
|
||||
},
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {final_chunk.model_dump_json()}\n\n"
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error generating currency response: {e}")
|
||||
|
||||
error_chunk = ChatCompletionStreamResponse(
|
||||
id=f"chatcmpl-{uuid.uuid4().hex[:8]}",
|
||||
created=int(time.time()),
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {
|
||||
"content": "I apologize, but I'm having trouble generating a currency exchange response right now. Please try again."
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {error_chunk.model_dump_json()}\n\n"
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
"""Health check endpoint."""
|
||||
return {"status": "healthy", "agent": "currency_exchange"}
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run(app, host="0.0.0.0", port=10530)
|
||||
|
||||
|
||||
def start_server(host: str = "localhost", port: int = 10530):
|
||||
"""Start the currency agent server."""
|
||||
uvicorn.run(
|
||||
app,
|
||||
host=host,
|
||||
port=port,
|
||||
log_config={
|
||||
"version": 1,
|
||||
"disable_existing_loggers": False,
|
||||
"formatters": {
|
||||
"default": {
|
||||
"format": "%(asctime)s - [CURRENCY_AGENT] - %(levelname)s - %(message)s",
|
||||
},
|
||||
},
|
||||
"handlers": {
|
||||
"default": {
|
||||
"formatter": "default",
|
||||
"class": "logging.StreamHandler",
|
||||
"stream": "ext://sys.stdout",
|
||||
},
|
||||
},
|
||||
"root": {
|
||||
"level": "INFO",
|
||||
"handlers": ["default"],
|
||||
},
|
||||
},
|
||||
)
|
||||
|
|
@ -8,11 +8,12 @@ import time
|
|||
import uuid
|
||||
import uvicorn
|
||||
from datetime import datetime, timedelta
|
||||
import random
|
||||
import httpx
|
||||
from typing import Optional
|
||||
from urllib.parse import quote
|
||||
|
||||
from .api import (
|
||||
ChatCompletionRequest,
|
||||
ChatCompletionResponse,
|
||||
ChatCompletionStreamResponse,
|
||||
)
|
||||
|
||||
|
|
@ -25,155 +26,15 @@ logger = logging.getLogger(__name__)
|
|||
|
||||
# Configuration for archgw LLM gateway
|
||||
LLM_GATEWAY_ENDPOINT = os.getenv("LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1")
|
||||
FLIGHT_MODEL = "gpt-4o-mini"
|
||||
FLIGHT_MODEL = "openai/gpt-4o"
|
||||
FLIGHT_EXTRACTION_MODEL = "openai/gpt-4o-mini"
|
||||
|
||||
# Sample flight data
|
||||
AIRLINES = [
|
||||
"United Airlines",
|
||||
"Delta",
|
||||
"American Airlines",
|
||||
"British Airways",
|
||||
"Emirates",
|
||||
"Lufthansa",
|
||||
"Air France",
|
||||
"Singapore Airlines",
|
||||
]
|
||||
AIRCRAFT_TYPES = [
|
||||
"Boeing 737",
|
||||
"Airbus A320",
|
||||
"Boeing 777",
|
||||
"Airbus A350",
|
||||
"Boeing 787",
|
||||
]
|
||||
|
||||
CITIES = [
|
||||
"New York",
|
||||
"London",
|
||||
"Tokyo",
|
||||
"Paris",
|
||||
"Sydney",
|
||||
"Dubai",
|
||||
"Singapore",
|
||||
"San Francisco",
|
||||
"Los Angeles",
|
||||
"Chicago",
|
||||
"Miami",
|
||||
"Seattle",
|
||||
"Boston",
|
||||
"Hong Kong",
|
||||
"Bangkok",
|
||||
"Rome",
|
||||
]
|
||||
|
||||
# System prompt for flight agent
|
||||
SYSTEM_PROMPT = """You are a helpful flight booking assistant.
|
||||
|
||||
Your role is to help users search for and book flights based on their travel needs.
|
||||
|
||||
When responding:
|
||||
1. Parse the user's request to understand departure city, destination, dates, and preferences
|
||||
2. Use the flight search results provided in the conversation context
|
||||
3. Present flight options clearly with key details (airline, times, price, duration)
|
||||
4. Help users compare options and make informed decisions
|
||||
5. If they want to book, confirm their selection and provide booking confirmation
|
||||
6. Ask clarifying questions if needed information is missing
|
||||
|
||||
Be professional, helpful, and make the booking process smooth and easy."""
|
||||
|
||||
|
||||
def generate_flight_data(
|
||||
origin: str, destination: str, date: str = None, num_results: int = 5
|
||||
):
|
||||
"""Generate mock flight search results."""
|
||||
if not date:
|
||||
date = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
|
||||
flights = []
|
||||
for i in range(num_results):
|
||||
# Generate departure and arrival times
|
||||
departure_hour = random.randint(6, 22)
|
||||
departure_min = random.choice([0, 15, 30, 45])
|
||||
flight_duration_hours = random.randint(2, 14)
|
||||
flight_duration_mins = random.choice([0, 15, 30, 45])
|
||||
|
||||
departure_time = f"{departure_hour:02d}:{departure_min:02d}"
|
||||
arrival_hour = (departure_hour + flight_duration_hours) % 24
|
||||
arrival_min = (departure_min + flight_duration_mins) % 60
|
||||
arrival_time = f"{arrival_hour:02d}:{arrival_min:02d}"
|
||||
|
||||
# Generate price based on duration
|
||||
base_price = 200 + (flight_duration_hours * 50)
|
||||
price_variation = random.randint(-100, 300)
|
||||
price = base_price + price_variation
|
||||
|
||||
# Determine if it's direct or has stops
|
||||
stops = random.choice([0, 0, 0, 1, 2]) # Bias towards direct flights
|
||||
|
||||
flight = {
|
||||
"flight_number": f"{random.choice(['UA', 'DL', 'AA', 'BA', 'EK'])}{random.randint(100, 999)}",
|
||||
"airline": random.choice(AIRLINES),
|
||||
"aircraft": random.choice(AIRCRAFT_TYPES),
|
||||
"origin": origin,
|
||||
"destination": destination,
|
||||
"date": date,
|
||||
"departure_time": departure_time,
|
||||
"arrival_time": arrival_time,
|
||||
"duration": f"{flight_duration_hours}h {flight_duration_mins}m",
|
||||
"stops": stops,
|
||||
"price_usd": price,
|
||||
"available_seats": random.randint(5, 150),
|
||||
"class": random.choice(
|
||||
["Economy", "Economy", "Premium Economy", "Business"]
|
||||
),
|
||||
}
|
||||
flights.append(flight)
|
||||
|
||||
# Sort by price
|
||||
flights.sort(key=lambda x: x["price_usd"])
|
||||
|
||||
return flights
|
||||
|
||||
|
||||
def extract_flight_params(messages):
|
||||
"""Extract flight search parameters from messages."""
|
||||
origin = None
|
||||
destination = None
|
||||
date = None
|
||||
|
||||
# Look through messages for flight details
|
||||
for msg in reversed(messages):
|
||||
if msg.role == "user":
|
||||
content = msg.content.lower()
|
||||
|
||||
# Look for "from X to Y" pattern
|
||||
if " from " in content and " to " in content:
|
||||
parts = content.split(" from ")
|
||||
if len(parts) > 1:
|
||||
remaining = parts[1]
|
||||
if " to " in remaining:
|
||||
city_parts = remaining.split(" to ")
|
||||
origin = city_parts[0].strip().title()
|
||||
# Extract destination (may have more text after)
|
||||
dest_words = city_parts[1].strip().split()
|
||||
if dest_words:
|
||||
destination = dest_words[0].title()
|
||||
|
||||
# Look for date mentions
|
||||
if "tomorrow" in content:
|
||||
date = (datetime.now() + timedelta(days=1)).strftime("%Y-%m-%d")
|
||||
elif "next week" in content:
|
||||
date = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
|
||||
# Defaults
|
||||
if not origin:
|
||||
origin = "New York"
|
||||
if not destination:
|
||||
destination = "London"
|
||||
if not date:
|
||||
date = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
|
||||
return origin, destination, date
|
||||
# FlightAware AeroAPI configuration
|
||||
AEROAPI_BASE_URL = "https://aeroapi.flightaware.com/aeroapi"
|
||||
AEROAPI_KEY = os.getenv("AEROAPI_KEY", "ESVFX7TJLxB7OTuayUv0zTQBryA3tOPr")
|
||||
|
||||
# HTTP client for API calls
|
||||
http_client = httpx.AsyncClient(timeout=30.0)
|
||||
|
||||
# Initialize OpenAI client for archgw
|
||||
archgw_client = AsyncOpenAI(
|
||||
|
|
@ -181,35 +42,494 @@ archgw_client = AsyncOpenAI(
|
|||
api_key="EMPTY",
|
||||
)
|
||||
|
||||
# FastAPI app for REST server
|
||||
app = FastAPI(title="Flight Booking Agent", version="1.0.0")
|
||||
# System prompt for flight agent
|
||||
SYSTEM_PROMPT = """You are a helpful flight information assistant. Your role is to provide accurate, clear, and helpful flight information based on the structured flight data provided to you.
|
||||
|
||||
CRITICAL INSTRUCTIONS:
|
||||
|
||||
1. DATA STRUCTURE:
|
||||
- You will receive flight data as JSON in a system message
|
||||
- The data contains flight information including origin, destination, flight numbers, airlines, schedules, delays, gates, terminals, and status
|
||||
- Some fields may be null/None - handle these gracefully
|
||||
|
||||
2. FLIGHT INFORMATION:
|
||||
- Present flights clearly with key details: airline, flight number, origin, destination, scheduled/estimated/actual times
|
||||
- Include gate and terminal information when available
|
||||
- Mention delays if present
|
||||
- Indicate flight status (scheduled, enroute, arrived, cancelled, etc.)
|
||||
- Show aircraft type when available
|
||||
|
||||
3. RESPONSE FORMAT:
|
||||
- For flight searches: List available flights with clear details
|
||||
- Include departure and arrival times (scheduled, estimated, actual)
|
||||
- Mention any delays or status changes
|
||||
- Use natural, conversational language
|
||||
- Be concise but complete
|
||||
|
||||
4. HANDLING INCOMPLETE QUERIES:
|
||||
- If the user asks a follow-up question like "Do they fly out from X?" or "Do they have flights to Y?", use conversation context to understand what they're asking
|
||||
- If origin or destination is missing from the data, check if it can be inferred from the conversation context
|
||||
- If you cannot determine the complete route, politely ask for clarification: "I can help you find flights! Could you please specify both the origin and destination cities? For example, 'flights from Istanbul to Seattle' or 'flights from Seattle to Istanbul'."
|
||||
- When answering follow-up questions, acknowledge what you understand from context: "Based on our conversation about Istanbul, I can help you find flights from Istanbul to Seattle..."
|
||||
|
||||
5. ERROR HANDLING:
|
||||
- If flight data is missing or null, acknowledge this politely
|
||||
- Never invent or guess flight information - only use what's provided
|
||||
- If airports or flights cannot be found, mention this clearly
|
||||
- If the route doesn't exist or no flights are available, suggest alternatives or ask if they meant a different route
|
||||
|
||||
Remember: Only use the data provided. Never fabricate flight information. If data is missing, clearly state what's unavailable. Use conversation context to understand follow-up questions."""
|
||||
|
||||
|
||||
def prepare_flight_messages(request_body: ChatCompletionRequest):
|
||||
FLIGHT_EXTRACTION_PROMPT = """You are a flight information extraction assistant. Your ONLY job is to extract flight-related information from user messages and convert it to structured data.
|
||||
|
||||
CRITICAL RULES:
|
||||
1. Extract origin city/airport and destination city/airport from the message AND conversation context
|
||||
2. Extract any mentioned dates or time references
|
||||
3. PAY ATTENTION TO CONVERSATION CONTEXT - THIS IS CRITICAL:
|
||||
- If previous messages mention cities/countries, use that context to resolve pronouns and incomplete queries
|
||||
- Example 1: Previous: "What's the weather in Istanbul?" → Current: "Do they fly out from Seattle?"
|
||||
→ This likely means: "Do flights go from Istanbul to Seattle?" OR "Do flights go from Seattle to Istanbul?"
|
||||
→ Since Istanbul was mentioned first, interpret as: origin=Istanbul, destination=Seattle
|
||||
- Example 2: Previous: "What's the weather in London?" → Current: "What flights go from there to Seattle?"
|
||||
→ "there" = London → origin=London, destination=Seattle
|
||||
- Example 3: Previous: "What's the exchange rate for Turkey?" → Current: "Do they have flights to Seattle?"
|
||||
→ "they" refers to Turkey/Istanbul → origin=Istanbul, destination=Seattle
|
||||
4. For follow-up questions like "Do they fly out from X?" or "Do they have flights to Y?":
|
||||
- Look for previously mentioned cities/countries in the conversation
|
||||
- If a city was mentioned earlier, use it as the missing origin or destination
|
||||
- If the question mentions a city explicitly, use that city
|
||||
- Try to infer the complete route from context
|
||||
5. Extract dates and time references:
|
||||
- "tomorrow", "today", "next week", specific dates
|
||||
- Convert relative dates to ISO format (YYYY-MM-DD) when possible
|
||||
6. Determine the origin and destination based on context:
|
||||
- "from X to Y" → origin=X, destination=Y
|
||||
- "X to Y" → origin=X, destination=Y
|
||||
- "flights from X" → origin=X, destination=null (unless context provides destination)
|
||||
- "flights to Y" → origin=null (unless context provides origin), destination=Y
|
||||
- "Do they fly out from X?" → origin=X (or from context), destination=from context or null
|
||||
- "Do they have flights to Y?" → origin=from context, destination=Y
|
||||
7. Return your response as a JSON object with the following structure:
|
||||
{
|
||||
"origin": "London" or null,
|
||||
"destination": "Seattle" or null,
|
||||
"date": "2025-12-20" or null,
|
||||
"origin_airport_code": "LHR" or null,
|
||||
"destination_airport_code": "SEA" or null
|
||||
}
|
||||
|
||||
8. If you cannot determine a value, use null for that field
|
||||
9. Use city names (not airport codes) in origin/destination fields - airport codes will be resolved separately
|
||||
10. Ignore error messages, HTML tags, and assistant responses
|
||||
11. Extract from the most recent user message BUT use conversation context to resolve references
|
||||
12. For dates: Use ISO format (YYYY-MM-DD). If relative date like "tomorrow", calculate the actual date
|
||||
13. IMPORTANT: When a follow-up question mentions one city but context has another city, try to infer the complete route
|
||||
|
||||
Examples with context:
|
||||
- Conversation: "What's the weather in Istanbul?" → Current: "Do they fly out from Seattle?" → {"origin": "Istanbul", "destination": "Seattle", "date": null, "origin_airport_code": null, "destination_airport_code": null}
|
||||
- Conversation: "What's the weather in London?" → Current: "What flights go from there to Seattle?" → {"origin": "London", "destination": "Seattle", "date": null, "origin_airport_code": null, "destination_airport_code": null}
|
||||
- Conversation: "Tell me about Istanbul" → Current: "Do they have flights to Seattle?" → {"origin": "Istanbul", "destination": "Seattle", "date": null, "origin_airport_code": null, "destination_airport_code": null}
|
||||
- "What flights go from London to Seattle?" → {"origin": "London", "destination": "Seattle", "date": null, "origin_airport_code": null, "destination_airport_code": null}
|
||||
- "Show me flights to New York tomorrow" → {"origin": null, "destination": "New York", "date": "2025-12-21", "origin_airport_code": null, "destination_airport_code": null}
|
||||
- "Flights from LAX to JFK" → {"origin": "Los Angeles", "destination": "New York", "date": null, "origin_airport_code": "LAX", "destination_airport_code": "JFK"}
|
||||
|
||||
Now extract the flight information from this message, considering the conversation context:"""
|
||||
|
||||
|
||||
async def extract_flight_info_from_messages(messages):
|
||||
"""Extract flight information from user messages using LLM, considering conversation context."""
|
||||
conversation_context = []
|
||||
for msg in messages:
|
||||
content = msg.content.strip()
|
||||
content_lower = content.lower()
|
||||
if any(
|
||||
pattern in content_lower
|
||||
for pattern in ["<", ">", "error:", "i apologize", "i'm having trouble"]
|
||||
):
|
||||
continue
|
||||
conversation_context.append({"role": msg.role, "content": content})
|
||||
|
||||
user_messages = [msg for msg in messages if msg.role == "user"]
|
||||
|
||||
if not user_messages:
|
||||
logger.warning("No user messages found")
|
||||
return {
|
||||
"origin": None,
|
||||
"destination": None,
|
||||
"date": None,
|
||||
"origin_airport_code": None,
|
||||
"destination_airport_code": None,
|
||||
}
|
||||
|
||||
user_content = None
|
||||
for msg in reversed(user_messages):
|
||||
content = msg.content.strip()
|
||||
content_lower = content.lower()
|
||||
if any(
|
||||
pattern in content_lower
|
||||
for pattern in [
|
||||
"<",
|
||||
">",
|
||||
"assistant:",
|
||||
"error:",
|
||||
"i apologize",
|
||||
"i'm having trouble",
|
||||
]
|
||||
):
|
||||
continue
|
||||
user_content = content
|
||||
break
|
||||
|
||||
if not user_content:
|
||||
logger.warning("No valid user message found")
|
||||
return {
|
||||
"origin": None,
|
||||
"destination": None,
|
||||
"date": None,
|
||||
"origin_airport_code": None,
|
||||
"destination_airport_code": None,
|
||||
}
|
||||
|
||||
try:
|
||||
logger.info(f"Extracting flight info from user message: {user_content[:200]}")
|
||||
logger.info(
|
||||
f"Using conversation context with {len(conversation_context)} messages"
|
||||
)
|
||||
|
||||
llm_messages = [{"role": "system", "content": FLIGHT_EXTRACTION_PROMPT}]
|
||||
|
||||
context_messages = (
|
||||
conversation_context[-10:]
|
||||
if len(conversation_context) > 10
|
||||
else conversation_context
|
||||
)
|
||||
for msg in context_messages:
|
||||
llm_messages.append({"role": msg["role"], "content": msg["content"]})
|
||||
|
||||
response = await archgw_client.chat.completions.create(
|
||||
model=FLIGHT_EXTRACTION_MODEL,
|
||||
messages=llm_messages,
|
||||
temperature=0.1,
|
||||
max_tokens=300,
|
||||
)
|
||||
|
||||
extracted_text = response.choices[0].message.content.strip()
|
||||
|
||||
try:
|
||||
if "```json" in extracted_text:
|
||||
extracted_text = (
|
||||
extracted_text.split("```json")[1].split("```")[0].strip()
|
||||
)
|
||||
elif "```" in extracted_text:
|
||||
extracted_text = extracted_text.split("```")[1].split("```")[0].strip()
|
||||
|
||||
flight_info = json.loads(extracted_text)
|
||||
|
||||
date = flight_info.get("date")
|
||||
if date:
|
||||
today = datetime.now().date()
|
||||
if date.lower() == "tomorrow":
|
||||
date = (today + timedelta(days=1)).strftime("%Y-%m-%d")
|
||||
elif date.lower() == "today":
|
||||
date = today.strftime("%Y-%m-%d")
|
||||
elif "next week" in date.lower():
|
||||
date = (today + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
|
||||
result = {
|
||||
"origin": flight_info.get("origin"),
|
||||
"destination": flight_info.get("destination"),
|
||||
"date": date,
|
||||
"origin_airport_code": flight_info.get("origin_airport_code"),
|
||||
"destination_airport_code": flight_info.get("destination_airport_code"),
|
||||
}
|
||||
|
||||
logger.info(f"LLM extracted flight info: {result}")
|
||||
return result
|
||||
|
||||
except json.JSONDecodeError as e:
|
||||
logger.warning(
|
||||
f"Failed to parse JSON from LLM response: {extracted_text}, error: {e}"
|
||||
)
|
||||
return {
|
||||
"origin": None,
|
||||
"destination": None,
|
||||
"date": None,
|
||||
"origin_airport_code": None,
|
||||
"destination_airport_code": None,
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error extracting flight info with LLM: {e}, using defaults")
|
||||
return {
|
||||
"origin": None,
|
||||
"destination": None,
|
||||
"date": None,
|
||||
"origin_airport_code": None,
|
||||
"destination_airport_code": None,
|
||||
}
|
||||
|
||||
|
||||
AIRPORT_CODE_RESOLUTION_PROMPT = """You are an airport code resolution assistant. Your ONLY job is to convert city names or locations to their primary airport IATA/ICAO codes.
|
||||
|
||||
CRITICAL RULES:
|
||||
1. Convert city names, locations, or airport names to their primary airport code (prefer IATA 3-letter codes like JFK, LHR, LAX)
|
||||
2. For cities with multiple airports, choose the PRIMARY/MOST COMMONLY USED airport:
|
||||
- London → LHR (Heathrow, not Gatwick or Stansted)
|
||||
- New York → JFK (not LGA or EWR)
|
||||
- Paris → CDG (not ORY)
|
||||
- Tokyo → NRT (Narita, not HND)
|
||||
- Beijing → PEK (not PKX)
|
||||
- Shanghai → PVG (not SHA)
|
||||
3. If the input is already an airport code (3-letter IATA or 4-letter ICAO), return it as-is
|
||||
4. Return ONLY the airport code, nothing else
|
||||
5. Use standard IATA codes when available, ICAO codes as fallback
|
||||
6. If you cannot determine the airport code, return "NOT_FOUND"
|
||||
|
||||
Examples:
|
||||
- "London" → "LHR"
|
||||
- "New York" → "JFK"
|
||||
- "Los Angeles" → "LAX"
|
||||
- "Seattle" → "SEA"
|
||||
- "Paris" → "CDG"
|
||||
- "Tokyo" → "NRT"
|
||||
- "JFK" → "JFK"
|
||||
- "LAX" → "LAX"
|
||||
- "LHR" → "LHR"
|
||||
- "Unknown City" → "NOT_FOUND"
|
||||
|
||||
Now convert this location to an airport code:"""
|
||||
|
||||
|
||||
async def resolve_airport_code(city_name: str) -> Optional[str]:
|
||||
"""Resolve city name to airport code using LLM and FlightAware API.
|
||||
|
||||
Uses LLM to convert city names to airport codes, then validates via API.
|
||||
"""
|
||||
if not city_name:
|
||||
return None
|
||||
|
||||
try:
|
||||
logger.info(f"Resolving airport code for: {city_name}")
|
||||
|
||||
response = await archgw_client.chat.completions.create(
|
||||
model=FLIGHT_EXTRACTION_MODEL,
|
||||
messages=[
|
||||
{"role": "system", "content": AIRPORT_CODE_RESOLUTION_PROMPT},
|
||||
{"role": "user", "content": city_name},
|
||||
],
|
||||
temperature=0.1,
|
||||
max_tokens=50,
|
||||
)
|
||||
|
||||
airport_code = response.choices[0].message.content.strip().upper()
|
||||
airport_code = airport_code.strip("\"'`.,!? \n\t")
|
||||
|
||||
if airport_code == "NOT_FOUND" or not airport_code:
|
||||
logger.warning(f"LLM could not resolve airport code for {city_name}")
|
||||
return None
|
||||
|
||||
logger.info(f"LLM resolved {city_name} to airport code: {airport_code}")
|
||||
|
||||
try:
|
||||
url = f"{AEROAPI_BASE_URL}/airports/{airport_code}"
|
||||
headers = {"x-apikey": AEROAPI_KEY}
|
||||
|
||||
validation_response = await http_client.get(url, headers=headers)
|
||||
|
||||
if validation_response.status_code == 200:
|
||||
data = validation_response.json()
|
||||
validated_code = data.get("code_icao") or data.get("code_iata")
|
||||
if validated_code:
|
||||
logger.info(
|
||||
f"Validated airport code {airport_code} → {validated_code}"
|
||||
)
|
||||
return validated_code
|
||||
else:
|
||||
return airport_code
|
||||
else:
|
||||
logger.warning(
|
||||
f"API validation failed for {airport_code}, but using LLM result"
|
||||
)
|
||||
return airport_code
|
||||
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
f"API validation error for {airport_code}: {e}, using LLM result"
|
||||
)
|
||||
return airport_code
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error resolving airport code for {city_name} with LLM: {e}")
|
||||
return None
|
||||
|
||||
|
||||
async def get_flights_between_airports(
|
||||
origin_code: str, dest_code: str, start_date: str = None, end_date: str = None
|
||||
) -> Optional[dict]:
|
||||
"""Get flights between two airports using FlightAware AeroAPI."""
|
||||
try:
|
||||
url = f"{AEROAPI_BASE_URL}/airports/{origin_code}/flights/to/{dest_code}"
|
||||
headers = {"x-apikey": AEROAPI_KEY}
|
||||
|
||||
params = {}
|
||||
if start_date:
|
||||
params["start"] = start_date
|
||||
if end_date:
|
||||
params["end"] = end_date
|
||||
params["connection"] = "nonstop"
|
||||
params["max_pages"] = 1
|
||||
|
||||
response = await http_client.get(url, headers=headers, params=params)
|
||||
|
||||
if response.status_code != 200:
|
||||
logger.warning(
|
||||
f"FlightAware API returned status {response.status_code} for {origin_code} to {dest_code}"
|
||||
)
|
||||
return None
|
||||
|
||||
data = response.json()
|
||||
|
||||
flights = []
|
||||
for flight_group in data.get("flights", []):
|
||||
segments = flight_group.get("segments", [])
|
||||
if segments:
|
||||
segment = segments[0]
|
||||
flight_info = {
|
||||
"ident": segment.get("ident"),
|
||||
"ident_icao": segment.get("ident_icao"),
|
||||
"ident_iata": segment.get("ident_iata"),
|
||||
"operator": segment.get("operator"),
|
||||
"operator_iata": segment.get("operator_iata"),
|
||||
"flight_number": segment.get("flight_number"),
|
||||
"origin": {
|
||||
"code": segment.get("origin", {}).get("code"),
|
||||
"code_iata": segment.get("origin", {}).get("code_iata"),
|
||||
"name": segment.get("origin", {}).get("name"),
|
||||
"city": segment.get("origin", {}).get("city"),
|
||||
},
|
||||
"destination": {
|
||||
"code": segment.get("destination", {}).get("code"),
|
||||
"code_iata": segment.get("destination", {}).get("code_iata"),
|
||||
"name": segment.get("destination", {}).get("name"),
|
||||
"city": segment.get("destination", {}).get("city"),
|
||||
},
|
||||
"scheduled_out": segment.get("scheduled_out"),
|
||||
"estimated_out": segment.get("estimated_out"),
|
||||
"actual_out": segment.get("actual_out"),
|
||||
"scheduled_off": segment.get("scheduled_off"),
|
||||
"estimated_off": segment.get("estimated_off"),
|
||||
"actual_off": segment.get("actual_off"),
|
||||
"scheduled_on": segment.get("scheduled_on"),
|
||||
"estimated_on": segment.get("estimated_on"),
|
||||
"actual_on": segment.get("actual_on"),
|
||||
"scheduled_in": segment.get("scheduled_in"),
|
||||
"estimated_in": segment.get("estimated_in"),
|
||||
"actual_in": segment.get("actual_in"),
|
||||
"status": segment.get("status"),
|
||||
"aircraft_type": segment.get("aircraft_type"),
|
||||
"departure_delay": segment.get("departure_delay"),
|
||||
"arrival_delay": segment.get("arrival_delay"),
|
||||
"gate_origin": segment.get("gate_origin"),
|
||||
"gate_destination": segment.get("gate_destination"),
|
||||
"terminal_origin": segment.get("terminal_origin"),
|
||||
"terminal_destination": segment.get("terminal_destination"),
|
||||
"cancelled": segment.get("cancelled"),
|
||||
"diverted": segment.get("diverted"),
|
||||
}
|
||||
flights.append(flight_info)
|
||||
|
||||
return {
|
||||
"origin_code": origin_code,
|
||||
"destination_code": dest_code,
|
||||
"flights": flights,
|
||||
"num_flights": len(flights),
|
||||
}
|
||||
|
||||
except httpx.HTTPError as e:
|
||||
logger.error(
|
||||
f"HTTP error fetching flights from {origin_code} to {dest_code}: {e}"
|
||||
)
|
||||
return None
|
||||
except json.JSONDecodeError as e:
|
||||
logger.error(f"Failed to parse JSON response from FlightAware API: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
logger.error(f"Unexpected error fetching flights: {e}")
|
||||
return None
|
||||
|
||||
|
||||
app = FastAPI(title="Flight Information Agent", version="1.0.0")
|
||||
|
||||
|
||||
async def prepare_flight_messages(request_body: ChatCompletionRequest):
|
||||
"""Prepare messages with flight data."""
|
||||
# Extract flight parameters
|
||||
origin, destination, date = extract_flight_params(request_body.messages)
|
||||
flight_info = await extract_flight_info_from_messages(request_body.messages)
|
||||
|
||||
# Check if user wants to book (vs just search)
|
||||
last_user_msg = ""
|
||||
for msg in reversed(request_body.messages):
|
||||
if msg.role == "user":
|
||||
last_user_msg = msg.content.lower()
|
||||
break
|
||||
origin = flight_info.get("origin")
|
||||
destination = flight_info.get("destination")
|
||||
date = flight_info.get("date")
|
||||
origin_code = flight_info.get("origin_airport_code")
|
||||
dest_code = flight_info.get("destination_airport_code")
|
||||
|
||||
is_booking = any(
|
||||
word in last_user_msg for word in ["book", "reserve", "purchase", "buy"]
|
||||
)
|
||||
if origin and not origin_code:
|
||||
origin_code = await resolve_airport_code(origin)
|
||||
if destination and not dest_code:
|
||||
dest_code = await resolve_airport_code(destination)
|
||||
|
||||
# Generate flight search results
|
||||
flights = generate_flight_data(origin, destination, date)
|
||||
if not date:
|
||||
date = (datetime.now() + timedelta(days=1)).strftime("%Y-%m-%d")
|
||||
|
||||
flight_context = f"""
|
||||
Flight search results for {origin} to {destination} on {date}:
|
||||
start_date = f"{date}T00:00:00Z"
|
||||
end_date = f"{date}T23:59:59Z"
|
||||
|
||||
{json.dumps(flights, indent=2)}
|
||||
flight_data = None
|
||||
if origin_code and dest_code:
|
||||
flight_data = await get_flights_between_airports(
|
||||
origin_code, dest_code, start_date, end_date
|
||||
)
|
||||
else:
|
||||
logger.warning(
|
||||
f"Cannot fetch flights: origin_code={origin_code}, dest_code={dest_code}"
|
||||
)
|
||||
|
||||
{'User wants to book a flight. Help them complete the booking.' if is_booking else 'Present these options to the user clearly.'}
|
||||
# Build context message based on what we have
|
||||
if flight_data and flight_data.get("flights"):
|
||||
flight_context = f"""
|
||||
Flight search results for {origin or origin_code} to {destination or dest_code} on {date}:
|
||||
|
||||
{json.dumps(flight_data, indent=2)}
|
||||
|
||||
Use this data to answer the user's flight query. Present the flights clearly with all relevant details.
|
||||
"""
|
||||
elif origin_code and not dest_code:
|
||||
# We have origin but no destination - this is a follow-up question
|
||||
flight_context = f"""
|
||||
The user is asking about flights from {origin or origin_code}, but no destination was specified.
|
||||
|
||||
From the conversation context, it appears the user may be asking about flights from {origin or origin_code} to a previously mentioned location, or they may need to specify a destination.
|
||||
|
||||
Check the conversation history to see if a destination was mentioned earlier. If so, you can mention that you'd be happy to search for flights from {origin or origin_code} to that destination. If not, politely ask the user to specify both origin and destination cities.
|
||||
|
||||
Example response: "I can help you find flights from {origin or origin_code}! Could you please tell me which city you'd like to fly to? For example, 'flights from {origin or origin_code} to Seattle' or 'flights from {origin or origin_code} to Istanbul'."
|
||||
"""
|
||||
elif dest_code and not origin_code:
|
||||
# We have destination but no origin
|
||||
flight_context = f"""
|
||||
The user is asking about flights to {destination or dest_code}, but no origin was specified.
|
||||
|
||||
From the conversation context, it appears the user may be asking about flights to {destination or dest_code} from a previously mentioned location, or they may need to specify an origin.
|
||||
|
||||
Check the conversation history to see if an origin was mentioned earlier. If so, you can mention that you'd be happy to search for flights from that origin to {destination or dest_code}. If not, politely ask the user to specify both origin and destination cities.
|
||||
"""
|
||||
else:
|
||||
# Neither origin nor destination
|
||||
flight_context = f"""
|
||||
Flight search attempted but both origin and destination are missing.
|
||||
|
||||
The user's query was incomplete. Check the conversation history to see if origin or destination cities were mentioned earlier. If so, use that context to help the user. If not, politely ask the user to specify both origin and destination cities for their flight search.
|
||||
|
||||
Example: "I'd be happy to help you find flights! Could you please tell me both the departure city and destination city? For example, 'flights from Seattle to Istanbul' or 'flights from Istanbul to Seattle'."
|
||||
"""
|
||||
|
||||
response_messages = [
|
||||
|
|
@ -227,11 +547,8 @@ Flight search results for {origin} to {destination} on {date}:
|
|||
@app.post("/v1/chat/completions")
|
||||
async def chat_completion_http(request: Request, request_body: ChatCompletionRequest):
|
||||
"""HTTP endpoint for chat completions with streaming support."""
|
||||
logger.info(
|
||||
f"Received flight booking request with {len(request_body.messages)} messages"
|
||||
)
|
||||
logger.info(f"Received flight request with {len(request_body.messages)} messages")
|
||||
|
||||
# Get traceparent header from HTTP request
|
||||
traceparent_header = request.headers.get("traceparent")
|
||||
|
||||
if traceparent_header:
|
||||
|
|
@ -251,7 +568,7 @@ async def stream_chat_completions(
|
|||
):
|
||||
"""Generate streaming chat completions."""
|
||||
# Prepare messages with flight data
|
||||
response_messages = prepare_flight_messages(request_body)
|
||||
response_messages = await prepare_flight_messages(request_body)
|
||||
|
||||
try:
|
||||
logger.info(
|
||||
|
|
@ -296,7 +613,6 @@ async def stream_chat_completions(
|
|||
|
||||
yield f"data: {stream_chunk.model_dump_json()}\n\n"
|
||||
|
||||
# Send final chunk
|
||||
full_response = "".join(collected_content)
|
||||
updated_history = [{"role": "assistant", "content": full_response}]
|
||||
|
||||
|
|
@ -331,7 +647,7 @@ async def stream_chat_completions(
|
|||
{
|
||||
"index": 0,
|
||||
"delta": {
|
||||
"content": "I apologize, but I'm having trouble searching for flights right now. Please try again."
|
||||
"content": "I apologize, but I'm having trouble retrieving flight information right now. Please try again."
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
}
|
||||
|
|
@ -345,7 +661,11 @@ async def stream_chat_completions(
|
|||
@app.get("/health")
|
||||
async def health_check():
|
||||
"""Health check endpoint."""
|
||||
return {"status": "healthy", "agent": "flight_booking"}
|
||||
return {"status": "healthy", "agent": "flight_information"}
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run(app, host="0.0.0.0", port=10520)
|
||||
|
||||
|
||||
def start_server(host: str = "localhost", port: int = 10520):
|
||||
|
|
|
|||
|
|
@ -1,388 +0,0 @@
|
|||
import json
|
||||
from fastapi import FastAPI, Request
|
||||
from fastapi.responses import StreamingResponse
|
||||
from openai import AsyncOpenAI
|
||||
import os
|
||||
import logging
|
||||
import time
|
||||
import uuid
|
||||
import uvicorn
|
||||
from datetime import datetime, timedelta
|
||||
import random
|
||||
|
||||
from .api import (
|
||||
ChatCompletionRequest,
|
||||
ChatCompletionResponse,
|
||||
ChatCompletionStreamResponse,
|
||||
)
|
||||
|
||||
# Set up logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s - [HOTEL_AGENT] - %(levelname)s - %(message)s",
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Configuration for archgw LLM gateway
|
||||
LLM_GATEWAY_ENDPOINT = os.getenv("LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1")
|
||||
HOTEL_MODEL = "gpt-4o-mini"
|
||||
|
||||
# Sample hotel data
|
||||
HOTEL_CHAINS = [
|
||||
"Marriott",
|
||||
"Hilton",
|
||||
"Hyatt",
|
||||
"InterContinental",
|
||||
"Four Seasons",
|
||||
"Sheraton",
|
||||
"Ritz-Carlton",
|
||||
"Westin",
|
||||
]
|
||||
HOTEL_TYPES = [
|
||||
"Luxury Hotel",
|
||||
"Business Hotel",
|
||||
"Boutique Hotel",
|
||||
"Resort",
|
||||
"City Center Hotel",
|
||||
]
|
||||
AMENITIES = [
|
||||
["Free WiFi", "Pool", "Gym", "Restaurant", "Bar"],
|
||||
["Free WiFi", "Gym", "Business Center", "Room Service"],
|
||||
["Free WiFi", "Spa", "Pool", "Restaurant", "Concierge"],
|
||||
["Free WiFi", "Beach Access", "Pool", "Restaurant", "Water Sports"],
|
||||
["Free WiFi", "Rooftop Bar", "Restaurant", "City Views"],
|
||||
]
|
||||
|
||||
CITIES = [
|
||||
"New York",
|
||||
"London",
|
||||
"Tokyo",
|
||||
"Paris",
|
||||
"Sydney",
|
||||
"Dubai",
|
||||
"Singapore",
|
||||
"San Francisco",
|
||||
"Los Angeles",
|
||||
"Chicago",
|
||||
"Miami",
|
||||
"Seattle",
|
||||
"Boston",
|
||||
"Hong Kong",
|
||||
"Bangkok",
|
||||
"Rome",
|
||||
]
|
||||
|
||||
# System prompt for hotel agent
|
||||
SYSTEM_PROMPT = """You are a helpful hotel reservation assistant.
|
||||
|
||||
Your role is to help users find and book hotels that match their needs and preferences.
|
||||
|
||||
When responding:
|
||||
1. Parse the user's request to understand location, dates, number of guests, and preferences
|
||||
2. Use the hotel search results provided in the conversation context
|
||||
3. Present hotel options clearly with key details (name, rating, amenities, price per night)
|
||||
4. Help users compare options based on their priorities (location, price, amenities, etc.)
|
||||
5. If they want to book, confirm their selection and provide booking confirmation
|
||||
6. Ask clarifying questions if needed information is missing (dates, number of rooms, guests, etc.)
|
||||
|
||||
Be professional, attentive to details, and help make the booking process smooth."""
|
||||
|
||||
|
||||
def generate_hotel_data(
|
||||
location: str, check_in: str = None, check_out: str = None, num_results: int = 5
|
||||
):
|
||||
"""Generate mock hotel search results."""
|
||||
if not check_in:
|
||||
check_in = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
if not check_out:
|
||||
check_out = (datetime.now() + timedelta(days=10)).strftime("%Y-%m-%d")
|
||||
|
||||
# Calculate number of nights
|
||||
check_in_date = datetime.strptime(check_in, "%Y-%m-%d")
|
||||
check_out_date = datetime.strptime(check_out, "%Y-%m-%d")
|
||||
nights = (check_out_date - check_in_date).days
|
||||
|
||||
hotels = []
|
||||
for i in range(num_results):
|
||||
# Generate hotel details
|
||||
chain = random.choice(HOTEL_CHAINS)
|
||||
hotel_type = random.choice(HOTEL_TYPES)
|
||||
rating = round(random.uniform(3.5, 5.0), 1)
|
||||
|
||||
# Generate price based on rating and location
|
||||
base_price = 100 + (rating - 3.5) * 100
|
||||
price_variation = random.randint(-50, 150)
|
||||
price_per_night = int(base_price + price_variation)
|
||||
|
||||
# Distance from city center
|
||||
distance_km = round(random.uniform(0.5, 15.0), 1)
|
||||
|
||||
hotel = {
|
||||
"name": f"{chain} {location} {random.choice(['Downtown', 'City Center', 'Waterfront', 'Airport', 'Marina'])}",
|
||||
"type": hotel_type,
|
||||
"rating": rating,
|
||||
"location": location,
|
||||
"distance_from_center_km": distance_km,
|
||||
"check_in": check_in,
|
||||
"check_out": check_out,
|
||||
"nights": nights,
|
||||
"price_per_night_usd": price_per_night,
|
||||
"total_price_usd": price_per_night * nights,
|
||||
"amenities": random.choice(AMENITIES),
|
||||
"available_rooms": random.randint(3, 50),
|
||||
"room_type": random.choice(
|
||||
["Standard Room", "Deluxe Room", "Suite", "Executive Room"]
|
||||
),
|
||||
"cancellation_policy": random.choice(
|
||||
[
|
||||
"Free cancellation until 24h before",
|
||||
"Free cancellation until 48h before",
|
||||
"Non-refundable",
|
||||
]
|
||||
),
|
||||
}
|
||||
hotels.append(hotel)
|
||||
|
||||
# Sort by rating (descending) then price
|
||||
hotels.sort(key=lambda x: (-x["rating"], x["price_per_night_usd"]))
|
||||
|
||||
return hotels
|
||||
|
||||
|
||||
def extract_hotel_params(messages):
|
||||
"""Extract hotel search parameters from messages."""
|
||||
location = None
|
||||
check_in = None
|
||||
check_out = None
|
||||
|
||||
# Look through messages for hotel details
|
||||
for msg in reversed(messages):
|
||||
if msg.role == "user":
|
||||
content = msg.content.lower()
|
||||
|
||||
# Look for location - "in X" or "hotel in X"
|
||||
if " in " in content:
|
||||
parts = content.split(" in ")
|
||||
if len(parts) > 1:
|
||||
# Get the word after "in"
|
||||
location_words = parts[1].strip().split()
|
||||
if location_words:
|
||||
location = location_words[0].title()
|
||||
|
||||
# Look for date mentions
|
||||
if "tomorrow" in content:
|
||||
check_in = (datetime.now() + timedelta(days=1)).strftime("%Y-%m-%d")
|
||||
check_out = (datetime.now() + timedelta(days=4)).strftime("%Y-%m-%d")
|
||||
elif "next week" in content:
|
||||
check_in = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
check_out = (datetime.now() + timedelta(days=10)).strftime("%Y-%m-%d")
|
||||
|
||||
# Defaults
|
||||
if not location:
|
||||
location = "New York"
|
||||
if not check_in:
|
||||
check_in = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d")
|
||||
if not check_out:
|
||||
check_out = (datetime.now() + timedelta(days=10)).strftime("%Y-%m-%d")
|
||||
|
||||
return location, check_in, check_out
|
||||
|
||||
|
||||
# Initialize OpenAI client for archgw
|
||||
archgw_client = AsyncOpenAI(
|
||||
base_url=LLM_GATEWAY_ENDPOINT,
|
||||
api_key="EMPTY",
|
||||
)
|
||||
|
||||
# FastAPI app for REST server
|
||||
app = FastAPI(title="Hotel Reservation Agent", version="1.0.0")
|
||||
|
||||
|
||||
def prepare_hotel_messages(request_body: ChatCompletionRequest):
|
||||
"""Prepare messages with hotel data."""
|
||||
# Extract hotel parameters
|
||||
location, check_in, check_out = extract_hotel_params(request_body.messages)
|
||||
|
||||
# Check if user wants to book (vs just search)
|
||||
last_user_msg = ""
|
||||
for msg in reversed(request_body.messages):
|
||||
if msg.role == "user":
|
||||
last_user_msg = msg.content.lower()
|
||||
break
|
||||
|
||||
is_booking = any(word in last_user_msg for word in ["book", "reserve", "confirm"])
|
||||
|
||||
# Generate hotel search results
|
||||
hotels = generate_hotel_data(location, check_in, check_out)
|
||||
|
||||
hotel_context = f"""
|
||||
Hotel search results for {location} from {check_in} to {check_out}:
|
||||
|
||||
{json.dumps(hotels, indent=2)}
|
||||
|
||||
{'User wants to book a hotel. Help them complete the reservation.' if is_booking else 'Present these options to the user clearly.'}
|
||||
"""
|
||||
|
||||
response_messages = [
|
||||
{"role": "system", "content": SYSTEM_PROMPT},
|
||||
{"role": "system", "content": hotel_context},
|
||||
]
|
||||
|
||||
# Add conversation history
|
||||
for msg in request_body.messages:
|
||||
response_messages.append({"role": msg.role, "content": msg.content})
|
||||
|
||||
return response_messages
|
||||
|
||||
|
||||
@app.post("/v1/chat/completions")
|
||||
async def chat_completion_http(request: Request, request_body: ChatCompletionRequest):
|
||||
"""HTTP endpoint for chat completions with streaming support."""
|
||||
logger.info(
|
||||
f"Received hotel reservation request with {len(request_body.messages)} messages"
|
||||
)
|
||||
|
||||
# Get traceparent header from HTTP request
|
||||
traceparent_header = request.headers.get("traceparent")
|
||||
|
||||
if traceparent_header:
|
||||
logger.info(f"Received traceparent header: {traceparent_header}")
|
||||
|
||||
return StreamingResponse(
|
||||
stream_chat_completions(request_body, traceparent_header),
|
||||
media_type="text/plain",
|
||||
headers={
|
||||
"content-type": "text/event-stream",
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
async def stream_chat_completions(
|
||||
request_body: ChatCompletionRequest, traceparent_header: str = None
|
||||
):
|
||||
"""Generate streaming chat completions."""
|
||||
# Prepare messages with hotel data
|
||||
response_messages = prepare_hotel_messages(request_body)
|
||||
|
||||
try:
|
||||
logger.info(
|
||||
f"Calling archgw at {LLM_GATEWAY_ENDPOINT} to generate hotel response"
|
||||
)
|
||||
|
||||
# Prepare extra headers
|
||||
extra_headers = {"x-envoy-max-retries": "3"}
|
||||
if traceparent_header:
|
||||
extra_headers["traceparent"] = traceparent_header
|
||||
|
||||
response_stream = await archgw_client.chat.completions.create(
|
||||
model=HOTEL_MODEL,
|
||||
messages=response_messages,
|
||||
temperature=request_body.temperature or 0.7,
|
||||
max_tokens=request_body.max_tokens or 1000,
|
||||
stream=True,
|
||||
extra_headers=extra_headers,
|
||||
)
|
||||
|
||||
completion_id = f"chatcmpl-{uuid.uuid4().hex[:8]}"
|
||||
created_time = int(time.time())
|
||||
collected_content = []
|
||||
|
||||
async for chunk in response_stream:
|
||||
if chunk.choices and chunk.choices[0].delta.content:
|
||||
content = chunk.choices[0].delta.content
|
||||
collected_content.append(content)
|
||||
|
||||
stream_chunk = ChatCompletionStreamResponse(
|
||||
id=completion_id,
|
||||
created=created_time,
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {"content": content},
|
||||
"finish_reason": None,
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {stream_chunk.model_dump_json()}\n\n"
|
||||
|
||||
# Send final chunk
|
||||
full_response = "".join(collected_content)
|
||||
updated_history = [{"role": "assistant", "content": full_response}]
|
||||
|
||||
final_chunk = ChatCompletionStreamResponse(
|
||||
id=completion_id,
|
||||
created=created_time,
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {},
|
||||
"finish_reason": "stop",
|
||||
"message": {
|
||||
"role": "assistant",
|
||||
"content": json.dumps(updated_history),
|
||||
},
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {final_chunk.model_dump_json()}\n\n"
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error generating hotel response: {e}")
|
||||
|
||||
error_chunk = ChatCompletionStreamResponse(
|
||||
id=f"chatcmpl-{uuid.uuid4().hex[:8]}",
|
||||
created=int(time.time()),
|
||||
model=request_body.model,
|
||||
choices=[
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {
|
||||
"content": "I apologize, but I'm having trouble searching for hotels right now. Please try again."
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
yield f"data: {error_chunk.model_dump_json()}\n\n"
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
"""Health check endpoint."""
|
||||
return {"status": "healthy", "agent": "hotel_reservation"}
|
||||
|
||||
|
||||
def start_server(host: str = "localhost", port: int = 10530):
|
||||
"""Start the REST server."""
|
||||
uvicorn.run(
|
||||
app,
|
||||
host=host,
|
||||
port=port,
|
||||
log_config={
|
||||
"version": 1,
|
||||
"disable_existing_loggers": False,
|
||||
"formatters": {
|
||||
"default": {
|
||||
"format": "%(asctime)s - [HOTEL_AGENT] - %(levelname)s - %(message)s",
|
||||
},
|
||||
},
|
||||
"handlers": {
|
||||
"default": {
|
||||
"formatter": "default",
|
||||
"class": "logging.StreamHandler",
|
||||
"stream": "ext://sys.stdout",
|
||||
},
|
||||
},
|
||||
"root": {
|
||||
"level": "INFO",
|
||||
"handlers": ["default"],
|
||||
},
|
||||
},
|
||||
)
|
||||
|
|
@ -8,7 +8,9 @@ import time
|
|||
import uuid
|
||||
import uvicorn
|
||||
from datetime import datetime, timedelta
|
||||
import random
|
||||
import httpx
|
||||
from typing import Optional
|
||||
from urllib.parse import quote
|
||||
|
||||
from .api import (
|
||||
ChatCompletionRequest,
|
||||
|
|
@ -25,96 +27,326 @@ logger = logging.getLogger(__name__)
|
|||
|
||||
# Configuration for archgw LLM gateway
|
||||
LLM_GATEWAY_ENDPOINT = os.getenv("LLM_GATEWAY_ENDPOINT", "http://localhost:12000/v1")
|
||||
WEATHER_MODEL = "gpt-4o-mini"
|
||||
WEATHER_MODEL = "openai/gpt-4o"
|
||||
LOCATION_MODEL = "openai/gpt-4o-mini"
|
||||
|
||||
# Sample weather data
|
||||
WEATHER_CONDITIONS = ["Sunny", "Partly Cloudy", "Cloudy", "Rainy", "Stormy", "Snowy"]
|
||||
CITIES_DATA = {
|
||||
"new york": {"temp_base": 15, "condition_bias": "Cloudy"},
|
||||
"london": {"temp_base": 12, "condition_bias": "Rainy"},
|
||||
"tokyo": {"temp_base": 18, "condition_bias": "Partly Cloudy"},
|
||||
"paris": {"temp_base": 14, "condition_bias": "Cloudy"},
|
||||
"sydney": {"temp_base": 22, "condition_bias": "Sunny"},
|
||||
"dubai": {"temp_base": 32, "condition_bias": "Sunny"},
|
||||
"singapore": {"temp_base": 28, "condition_bias": "Rainy"},
|
||||
"san francisco": {"temp_base": 16, "condition_bias": "Partly Cloudy"},
|
||||
}
|
||||
# HTTP client for API calls
|
||||
http_client = httpx.AsyncClient(timeout=10.0)
|
||||
|
||||
# System prompt for weather agent
|
||||
SYSTEM_PROMPT = """You are a helpful weather information assistant.
|
||||
SYSTEM_PROMPT = """You are a professional weather information assistant. Your role is to provide accurate, clear, and helpful weather information based on the structured weather data provided to you.
|
||||
|
||||
Your role is to provide accurate and helpful weather information based on the weather data provided.
|
||||
CRITICAL INSTRUCTIONS:
|
||||
|
||||
When responding:
|
||||
1. Parse the user's request to understand the location they're asking about
|
||||
2. Use the weather data provided in the conversation context
|
||||
3. Provide clear, concise weather information
|
||||
4. Include temperature, conditions, and any relevant details
|
||||
5. If asked about forecast, provide multi-day information
|
||||
6. Be conversational and helpful
|
||||
1. DATA STRUCTURE:
|
||||
- You will receive weather data as JSON in a system message
|
||||
- The data contains a "location" field (string) and a "forecast" array
|
||||
- Each forecast entry has: date, day_name, temperature_c, temperature_f, temperature_max_c, temperature_min_c, condition, sunrise, sunset
|
||||
- Some fields may be null/None - handle these gracefully
|
||||
|
||||
Format your responses in a user-friendly way."""
|
||||
2. TEMPERATURE HANDLING:
|
||||
- For single-day queries: Use temperature_c/temperature_f (current/primary temperature)
|
||||
- For multi-day forecasts: Use temperature_max_c and temperature_min_c when available
|
||||
- Always provide temperatures in both Celsius and Fahrenheit when available
|
||||
- If temperature is null, say "temperature data unavailable" rather than making up numbers
|
||||
|
||||
3. ERROR HANDLING:
|
||||
- If the forecast array contains an "error" field, acknowledge the issue politely
|
||||
- If temperature or condition is null/None, mention that specific data is unavailable
|
||||
- Never invent or guess weather data - only use what's provided
|
||||
- If location couldn't be determined, acknowledge this but still provide available data
|
||||
|
||||
4. RESPONSE FORMAT:
|
||||
- For single-day queries: Provide current conditions, temperature, and condition
|
||||
- For multi-day forecasts: List each day with date, day name, high/low temps, and condition
|
||||
- Include sunrise/sunset times when available and relevant
|
||||
- Use natural, conversational language
|
||||
- Be concise but complete
|
||||
|
||||
5. CONDITION DESCRIPTIONS:
|
||||
- Use the exact condition provided (e.g., "Clear sky", "Rainy", "Partly Cloudy")
|
||||
- Add context when helpful (e.g., "perfect for outdoor activities" for clear skies)
|
||||
|
||||
6. LOCATION HANDLING:
|
||||
- Always mention the location name from the data
|
||||
- If the location differs from what the user asked, acknowledge this politely
|
||||
|
||||
7. RESPONSE STYLE:
|
||||
- Be friendly and professional
|
||||
- Use natural language, not technical jargon
|
||||
- Format dates and times clearly
|
||||
- For forecasts, use bullet points or numbered lists for clarity
|
||||
|
||||
Remember: Only use the data provided. Never fabricate weather information. If data is missing, clearly state what's unavailable."""
|
||||
|
||||
|
||||
def get_weather_data(location: str, days: int = 1):
|
||||
"""Generate mock weather data for a location."""
|
||||
location_lower = location.lower()
|
||||
async def geocode_city(city: str) -> Optional[dict]:
|
||||
"""Geocode a city name to latitude and longitude using Open-Meteo API."""
|
||||
try:
|
||||
url = f"https://geocoding-api.open-meteo.com/v1/search?name={quote(city)}&count=1&language=en&format=json"
|
||||
response = await http_client.get(url)
|
||||
|
||||
# Find matching city
|
||||
city_data = None
|
||||
for city, data in CITIES_DATA.items():
|
||||
if city in location_lower or location_lower in city:
|
||||
city_data = data
|
||||
location = city.title()
|
||||
break
|
||||
if response.status_code != 200:
|
||||
logger.warning(
|
||||
f"Geocoding API returned status {response.status_code} for city: {city}"
|
||||
)
|
||||
return None
|
||||
|
||||
if not city_data:
|
||||
# Default for unknown cities
|
||||
city_data = {"temp_base": 20, "condition_bias": "Partly Cloudy"}
|
||||
data = response.json()
|
||||
|
||||
weather_info = []
|
||||
for day in range(days):
|
||||
date = datetime.now() + timedelta(days=day)
|
||||
temp_variation = random.randint(-5, 5)
|
||||
temp = city_data["temp_base"] + temp_variation
|
||||
if not data.get("results") or len(data["results"]) == 0:
|
||||
logger.warning(f"No geocoding results found for city: {city}")
|
||||
return None
|
||||
|
||||
# Bias towards the city's typical condition
|
||||
if random.random() < 0.6:
|
||||
condition = city_data["condition_bias"]
|
||||
else:
|
||||
condition = random.choice(WEATHER_CONDITIONS)
|
||||
result = data["results"][0]
|
||||
return {
|
||||
"latitude": result["latitude"],
|
||||
"longitude": result["longitude"],
|
||||
"name": result.get("name", city),
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Error geocoding city {city}: {e}")
|
||||
return None
|
||||
|
||||
|
||||
async def get_live_weather(
|
||||
latitude: float, longitude: float, days: int = 1
|
||||
) -> Optional[dict]:
|
||||
"""Get live weather data from Open-Meteo API."""
|
||||
try:
|
||||
forecast_days = min(days, 16)
|
||||
|
||||
url = (
|
||||
f"https://api.open-meteo.com/v1/forecast?"
|
||||
f"latitude={latitude}&"
|
||||
f"longitude={longitude}&"
|
||||
f"current=temperature_2m&"
|
||||
f"hourly=temperature_2m&"
|
||||
f"daily=sunrise,sunset,temperature_2m_max,temperature_2m_min,weather_code&"
|
||||
f"forecast_days={forecast_days}&"
|
||||
f"timezone=auto"
|
||||
)
|
||||
|
||||
response = await http_client.get(url)
|
||||
|
||||
if response.status_code != 200:
|
||||
logger.warning(f"Weather API returned status {response.status_code}")
|
||||
return None
|
||||
|
||||
return response.json()
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching weather data: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def weather_code_to_condition(weather_code: int) -> str:
|
||||
"""Convert WMO weather code to human-readable condition."""
|
||||
# WMO Weather interpretation codes (WW)
|
||||
if weather_code == 0:
|
||||
return "Clear sky"
|
||||
elif weather_code in [1, 2, 3]:
|
||||
return "Partly Cloudy"
|
||||
elif weather_code in [45, 48]:
|
||||
return "Foggy"
|
||||
elif weather_code in [51, 53, 55, 56, 57]:
|
||||
return "Drizzle"
|
||||
elif weather_code in [61, 63, 65, 66, 67]:
|
||||
return "Rainy"
|
||||
elif weather_code in [71, 73, 75, 77]:
|
||||
return "Snowy"
|
||||
elif weather_code in [80, 81, 82]:
|
||||
return "Rainy"
|
||||
elif weather_code in [85, 86]:
|
||||
return "Snowy"
|
||||
elif weather_code in [95, 96, 99]:
|
||||
return "Stormy"
|
||||
else:
|
||||
return "Cloudy"
|
||||
|
||||
|
||||
async def get_weather_data(location: str, days: int = 1):
|
||||
"""Get live weather data for a location using Open-Meteo API."""
|
||||
geocode_result = await geocode_city(location)
|
||||
|
||||
if not geocode_result:
|
||||
logger.warning(f"Could not geocode location: {location}, using fallback")
|
||||
geocode_result = await geocode_city("New York")
|
||||
if not geocode_result:
|
||||
return {
|
||||
"location": location,
|
||||
"forecast": [
|
||||
{
|
||||
"date": datetime.now().strftime("%Y-%m-%d"),
|
||||
"day_name": datetime.now().strftime("%A"),
|
||||
"temperature_c": None,
|
||||
"temperature_f": None,
|
||||
"condition": "Unknown",
|
||||
"error": "Could not retrieve weather data",
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
location_name = geocode_result["name"]
|
||||
latitude = geocode_result["latitude"]
|
||||
longitude = geocode_result["longitude"]
|
||||
|
||||
weather_data = await get_live_weather(latitude, longitude, days)
|
||||
|
||||
if not weather_data:
|
||||
logger.warning(f"Could not fetch weather data for {location_name}")
|
||||
return {
|
||||
"location": location_name,
|
||||
"forecast": [
|
||||
{
|
||||
"date": datetime.now().strftime("%Y-%m-%d"),
|
||||
"day_name": datetime.now().strftime("%A"),
|
||||
"temperature_c": None,
|
||||
"temperature_f": None,
|
||||
"condition": "Unknown",
|
||||
"error": "Could not retrieve weather data",
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
current_temp = weather_data.get("current", {}).get("temperature_2m")
|
||||
daily_data = weather_data.get("daily", {})
|
||||
|
||||
forecast = []
|
||||
for i in range(min(days, len(daily_data.get("time", [])))):
|
||||
date_str = daily_data["time"][i]
|
||||
date_obj = datetime.fromisoformat(date_str.replace("Z", "+00:00"))
|
||||
|
||||
temp_max = (
|
||||
daily_data.get("temperature_2m_max", [None])[i]
|
||||
if i < len(daily_data.get("temperature_2m_max", []))
|
||||
else None
|
||||
)
|
||||
temp_min = (
|
||||
daily_data.get("temperature_2m_min", [None])[i]
|
||||
if i < len(daily_data.get("temperature_2m_min", []))
|
||||
else None
|
||||
)
|
||||
weather_code = (
|
||||
daily_data.get("weather_code", [0])[i]
|
||||
if i < len(daily_data.get("weather_code", []))
|
||||
else 0
|
||||
)
|
||||
sunrise = (
|
||||
daily_data.get("sunrise", [None])[i]
|
||||
if i < len(daily_data.get("sunrise", []))
|
||||
else None
|
||||
)
|
||||
sunset = (
|
||||
daily_data.get("sunset", [None])[i]
|
||||
if i < len(daily_data.get("sunset", []))
|
||||
else None
|
||||
)
|
||||
|
||||
temp_c = (
|
||||
temp_max if temp_max is not None else (current_temp if i == 0 else temp_min)
|
||||
)
|
||||
|
||||
day_info = {
|
||||
"date": date.strftime("%Y-%m-%d"),
|
||||
"day_name": date.strftime("%A"),
|
||||
"temperature_c": temp,
|
||||
"temperature_f": int(temp * 9 / 5 + 32),
|
||||
"condition": condition,
|
||||
"humidity": random.randint(40, 80),
|
||||
"wind_speed_kmh": random.randint(5, 30),
|
||||
"date": date_str.split("T")[0],
|
||||
"day_name": date_obj.strftime("%A"),
|
||||
"temperature_c": round(temp_c, 1) if temp_c is not None else None,
|
||||
"temperature_f": round(temp_c * 9 / 5 + 32, 1)
|
||||
if temp_c is not None
|
||||
else None,
|
||||
"temperature_max_c": round(temp_max, 1) if temp_max is not None else None,
|
||||
"temperature_min_c": round(temp_min, 1) if temp_min is not None else None,
|
||||
"condition": weather_code_to_condition(weather_code),
|
||||
"sunrise": sunrise.split("T")[1] if sunrise else None,
|
||||
"sunset": sunset.split("T")[1] if sunset else None,
|
||||
}
|
||||
weather_info.append(day_info)
|
||||
forecast.append(day_info)
|
||||
|
||||
return {"location": location, "forecast": weather_info}
|
||||
return {"location": location_name, "forecast": forecast}
|
||||
|
||||
|
||||
def extract_location_from_messages(messages):
|
||||
"""Extract location from user messages."""
|
||||
# Look through messages for location mentions
|
||||
for msg in reversed(messages):
|
||||
if msg.role == "user":
|
||||
content = msg.content.lower()
|
||||
# Check for known cities
|
||||
for city in CITIES_DATA.keys():
|
||||
if city in content:
|
||||
return city.title()
|
||||
# Basic extraction for "in [location]" or "weather [location]"
|
||||
words = content.split()
|
||||
if "in" in words:
|
||||
idx = words.index("in")
|
||||
if idx + 1 < len(words):
|
||||
return words[idx + 1].title()
|
||||
return "New York" # Default location
|
||||
LOCATION_EXTRACTION_PROMPT = """You are a location extraction assistant. Your ONLY job is to extract the geographic location (city, state, country, etc.) from user messages.
|
||||
|
||||
CRITICAL RULES:
|
||||
1. Extract ONLY the location name - nothing else
|
||||
2. Return just the location name in plain text (e.g., "London", "New York", "Paris, France")
|
||||
3. If the user mentions multiple locations, extract the PRIMARY location they're asking about
|
||||
4. Ignore error messages, HTML tags, and assistant responses
|
||||
5. If no clear location is found, return exactly: "NOT_FOUND"
|
||||
6. Clean the location name - remove words like "about", "for", "in", "the weather in", etc.
|
||||
7. Return the location in a format suitable for geocoding (city name, or "City, State", or "City, Country")
|
||||
|
||||
Examples:
|
||||
- "What's the weather in London?" → "London"
|
||||
- "Tell me about the weather for New York" → "New York"
|
||||
- "Weather forecast for Paris, France" → "Paris, France"
|
||||
- "I'm going to Seattle" → "Seattle"
|
||||
- "About London" → "London"
|
||||
- "What's happening?" → "NOT_FOUND"
|
||||
|
||||
Now extract the location from this message:"""
|
||||
|
||||
|
||||
async def extract_location_from_messages(messages):
|
||||
"""Extract location from user messages using LLM."""
|
||||
user_messages = [msg for msg in messages if msg.role == "user"]
|
||||
|
||||
if not user_messages:
|
||||
logger.warning("No user messages found, using default: New York")
|
||||
return "New York"
|
||||
|
||||
user_content = None
|
||||
for msg in reversed(user_messages):
|
||||
content = msg.content.strip()
|
||||
content_lower = content.lower()
|
||||
if any(
|
||||
pattern in content_lower
|
||||
for pattern in [
|
||||
"<",
|
||||
">",
|
||||
"assistant:",
|
||||
"error:",
|
||||
"i apologize",
|
||||
"i'm having trouble",
|
||||
]
|
||||
):
|
||||
continue
|
||||
user_content = content
|
||||
break
|
||||
|
||||
if not user_content:
|
||||
logger.warning("No valid user message found, using default: New York")
|
||||
return "New York"
|
||||
|
||||
try:
|
||||
logger.info(f"Extracting location from user message: {user_content[:200]}")
|
||||
|
||||
response = await archgw_client.chat.completions.create(
|
||||
model=LOCATION_MODEL,
|
||||
messages=[
|
||||
{"role": "system", "content": LOCATION_EXTRACTION_PROMPT},
|
||||
{"role": "user", "content": user_content},
|
||||
],
|
||||
temperature=0.1,
|
||||
max_tokens=50,
|
||||
)
|
||||
|
||||
location = response.choices[0].message.content.strip()
|
||||
location = location.strip("\"'`.,!?")
|
||||
|
||||
if not location or location.upper() == "NOT_FOUND":
|
||||
logger.warning(
|
||||
f"LLM could not extract location from message, using default: New York"
|
||||
)
|
||||
return "New York"
|
||||
|
||||
logger.info(f"LLM extracted location: {location}")
|
||||
return location
|
||||
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Error extracting location with LLM: {e}, using default: New York"
|
||||
)
|
||||
return "New York"
|
||||
|
||||
|
||||
# Initialize OpenAI client for archgw
|
||||
|
|
@ -127,10 +359,10 @@ archgw_client = AsyncOpenAI(
|
|||
app = FastAPI(title="Weather Forecast Agent", version="1.0.0")
|
||||
|
||||
|
||||
def prepare_weather_messages(request_body: ChatCompletionRequest):
|
||||
async def prepare_weather_messages(request_body: ChatCompletionRequest):
|
||||
"""Prepare messages with weather data."""
|
||||
# Extract location from conversation
|
||||
location = extract_location_from_messages(request_body.messages)
|
||||
# Extract location from conversation using LLM
|
||||
location = await extract_location_from_messages(request_body.messages)
|
||||
|
||||
# Determine if they want forecast (multi-day)
|
||||
last_user_msg = ""
|
||||
|
|
@ -141,8 +373,8 @@ def prepare_weather_messages(request_body: ChatCompletionRequest):
|
|||
|
||||
days = 5 if "forecast" in last_user_msg or "week" in last_user_msg else 1
|
||||
|
||||
# Get weather data
|
||||
weather_data = get_weather_data(location, days)
|
||||
# Get live weather data
|
||||
weather_data = await get_weather_data(location, days)
|
||||
|
||||
# Create system message with weather data
|
||||
weather_context = f"""
|
||||
|
|
@ -170,7 +402,6 @@ async def chat_completion_http(request: Request, request_body: ChatCompletionReq
|
|||
"""HTTP endpoint for chat completions with streaming support."""
|
||||
logger.info(f"Received weather request with {len(request_body.messages)} messages")
|
||||
|
||||
# Get traceparent header from HTTP request
|
||||
traceparent_header = request.headers.get("traceparent")
|
||||
|
||||
if traceparent_header:
|
||||
|
|
@ -189,15 +420,13 @@ async def stream_chat_completions(
|
|||
request_body: ChatCompletionRequest, traceparent_header: str = None
|
||||
):
|
||||
"""Generate streaming chat completions."""
|
||||
# Prepare messages with weather data
|
||||
response_messages = prepare_weather_messages(request_body)
|
||||
response_messages = await prepare_weather_messages(request_body)
|
||||
|
||||
try:
|
||||
logger.info(
|
||||
f"Calling archgw at {LLM_GATEWAY_ENDPOINT} to generate weather response"
|
||||
)
|
||||
|
||||
# Prepare extra headers
|
||||
extra_headers = {"x-envoy-max-retries": "3"}
|
||||
if traceparent_header:
|
||||
extra_headers["traceparent"] = traceparent_header
|
||||
|
|
@ -235,7 +464,6 @@ async def stream_chat_completions(
|
|||
|
||||
yield f"data: {stream_chunk.model_dump_json()}\n\n"
|
||||
|
||||
# Send final chunk
|
||||
full_response = "".join(collected_content)
|
||||
updated_history = [{"role": "assistant", "content": full_response}]
|
||||
|
||||
|
|
|
|||
|
|
@ -29,14 +29,14 @@ log "Starting flight agent on port 10520..."
|
|||
uv run python -m travel_agents --host 0.0.0.0 --port 10520 --agent flight &
|
||||
WAIT_FOR_PIDS+=($!)
|
||||
|
||||
log "Starting hotel agent on port 10530..."
|
||||
uv run python -m travel_agents --host 0.0.0.0 --port 10530 --agent hotel &
|
||||
log "Starting currency agent on port 10530..."
|
||||
uv run python -m travel_agents --host 0.0.0.0 --port 10530 --agent currency &
|
||||
WAIT_FOR_PIDS+=($!)
|
||||
|
||||
log "All agents started successfully!"
|
||||
log " - Weather Agent: http://localhost:10510"
|
||||
log " - Flight Agent: http://localhost:10520"
|
||||
log " - Hotel Agent: http://localhost:10530"
|
||||
log " - Currency Agent: http://localhost:10530"
|
||||
log ""
|
||||
log "Waiting for agents to run..."
|
||||
|
||||
|
|
|
|||
|
|
@ -1,47 +0,0 @@
|
|||
### test archfc with plano orchestrator
|
||||
POST https://archfc.katanemo.dev/v1/chat/completions HTTP/1.1
|
||||
Content-Type: application/json
|
||||
model: Plano-Orchestrator
|
||||
|
||||
{
|
||||
"model": "Plano-Orchestrator",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "You are a helpful assistant that selects the most suitable routes based on user intent.\nYou are provided with a list of available routes enclosed within <routes></routes> XML tags:\n<routes>\n{\"name\": \"Harvey\", \"description\": \"Harvey is a professional-class AI platform built for industry leaders. It offers a suite of tools to augment various work processes, including research, document management, and task delegation. The platform emphasizes security and integrates domain-specific models for complex professional work. Harvey is used by leading law firms and Fortune 500 companies.\n\nCapabilities: \n * Delegates complex tasks via natural language to a domain-specific personal assistant.\n * Provides answers rooted in reliable, cited source material from up to 50 documents.\n * Supports drafting and revising complex long-form content.\n * Offers pre-crafted prompts to streamline workflows.\n * Operates in 50+ languages, countries, and legal systems.\n * Integrates with Microsoft Word to enhance drafting capabilities.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"Mirtilla\", \"description\": \"Mirtilla is an AI-powered platform designed to revolutionize meetings and notes. It offers robust transcription capabilities, including translation and timestamping, allowing for efficient review and analysis of discussions. The platform also provides concise summaries and records of meetings, highlighting essential points and decisions. Users can generate custom requests tailored to provide insights, define focus areas, or create specific outputs. Mirtilla's AI Notes feature allows users to input notes with tags for classification and utilize AI to search through these notes using natural language. Data is fully encrypted with zero-knowledge encryption, ensuring privacy and compliance with GDPR regulations. The platform is hosted on Italian servers.\n\nCapabilities: \n * Meeting Transcription: Transcribes audio/video files, translates to English, and includes timestamping.\n * Meeting Summarization: Generates concise summaries, minutes, and records of meetings.\n * Personalized Requests: Creates custom outputs from transcription content, such as LinkedIn posts or summaries.\n * AI-Powered Notes: Allows note input with tags, AI-powered natural language search, and sharing capabilities.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"ThumbGenie\", \"description\": \"ThumbGenie is the #1 AI thumbnail maker for creating high-converting, personalized YouTube thumbnails automatically. Our powerful thumbnail generator customizes designs to match your channel's unique style, boosting click-through rates while saving you time and money.\n\nCapabilities: \n * Generate multiple YouTube thumbnail designs automatically.\n * Customize designs to match your channel's unique style.\n * Train AI models based on your existing thumbnails for consistent branding.\n * Adjust realism scale to fine-tune thumbnail style.\n * Use a YouTube video URL to add a reference image.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n</routes>\n\nYou are also given the conversation context enclosed within <conversation></conversation> XML tags:\n<conversation>\n[\n {\n \"role\": \"user\",\n \"content\": \"Hey, how's it going?\"\n },\n {\n \"role\": \"assistant\",\n \"content\": \"Hello! I'm doing well, thank you. How can I assist you today?\"\n },\n {\n \"role\": \"user\",\n \"content\": \"I need to draft a response to a legal motion. It's fairly complex and needs to cite several case precedents.\"\n }\n]\n</conversation>\n\n## Instructions\n1. Analyze the latest user intent from the conversation.\n2. Compare it against the available routes to find which routes can help fulfill the request.\n3. Respond only with the exact route names from <routes>.\n4. If no routes can help or the intent is already fulfilled, return an empty list.\n\n## Response Format\nReturn your answer strictly in JSON as follows:\n{\"route\": [\"route_name_1\", \"route_name_2\", \"...\"]}\nIf no routes are needed, return an empty list for `route`."
|
||||
}
|
||||
],
|
||||
"continue_final_message": false,
|
||||
"add_generation_prompt": true
|
||||
}
|
||||
|
||||
### test archfc with plano orchestrator for travel
|
||||
POST https://archfc.katanemo.dev/v1/chat/completions HTTP/1.1
|
||||
Content-Type: application/json
|
||||
model: Plano-Orchestrator
|
||||
|
||||
{
|
||||
"model": "Plano-Orchestrator",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "You are a helpful assistant that selects the most suitable routes based on user intent.\nYou are provided with a list of available routes enclosed within <routes></routes> XML tags:\n<routes>\n{\"name\": \"weather_agent\", \"description\": \"Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed). Provides temperature, humidity, wind speed, precipitation, and detailed weather conditions.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"flight_agent\", \"description\": \"Get live flight information between airports using AviationStack API. Shows real-time flight status, scheduled/actual departure and arrival times, gate information, and whether flights are in the air. Uses IATA airport codes (e.g., JFK, LAX, LHR). Displays current and scheduled flights with live tracking data.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"currency_agent\", \"description\": \"Get real-time currency exchange rates and perform currency conversions using Frankfurter API (free, no API key needed). Provides latest exchange rates, historical rates, and currency conversions between any supported currencies. Uses standard 3-letter currency codes (e.g., USD, EUR, GBP, JPY).\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n</routes>\n\nYou are also given the conversation context enclosed within <conversation></conversation> XML tags:\n<conversation>\n[\n {\n \"role\": \"user\",\n \"content\": \"book a flight and hotel to seattle from LA if weather in sunny over the weekend\"\n }\n]\n</conversation>\n\n## Instructions\n1. Analyze the latest user intent from the conversation.\n2. Compare it against the available routes to find which routes can help fulfill the request.\n3. Respond only with the exact route names from <routes>.\n4. If no routes can help or the intent is already fulfilled, return an empty list.\n\n## Response Format\nReturn your answer strictly in JSON as follows:\n{\"route\": [\"route_name_1\", \"route_name_2\", \"...\"]}\nIf no routes are needed, return an empty list for `route`."
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
### local 12001 llm
|
||||
POST http://localhost:12001/v1/chat/completions HTTP/1.1
|
||||
Content-Type: application/json
|
||||
x-arch-llm-provider-hint: Plano-Orchestrator
|
||||
model: Plano-Orchestrator
|
||||
|
||||
{
|
||||
"model": "Plano-Orchestrator",
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "You are a helpful assistant that selects the most suitable routes based on user intent.\nYou are provided with a list of available routes enclosed within <routes></routes> XML tags:\n<routes>\n{\"name\": \"weather_agent\", \"description\": \"Get real-time weather conditions and multi-day forecasts for any city worldwide using Open-Meteo API (free, no API key needed). Provides temperature, humidity, wind speed, precipitation, and detailed weather conditions.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"flight_agent\", \"description\": \"Get live flight information between airports using AviationStack API. Shows real-time flight status, scheduled/actual departure and arrival times, gate information, and whether flights are in the air. Uses IATA airport codes (e.g., JFK, LAX, LHR). Displays current and scheduled flights with live tracking data.\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n{\"name\": \"currency_agent\", \"description\": \"Get real-time currency exchange rates and perform currency conversions using Frankfurter API (free, no API key needed). Provides latest exchange rates, historical rates, and currency conversions between any supported currencies. Uses standard 3-letter currency codes (e.g., USD, EUR, GBP, JPY).\", \"parameters\": {\"type\": \"object\", \"properties\": {}, \"required\": []}}\n</routes>\n\nYou are also given the conversation context enclosed within <conversation></conversation> XML tags:\n<conversation>\n[\n {\n \"role\": \"user\",\n \"content\": \"book a flight and hotel to seattle from LA if weather in sunny over the weekend\"\n }\n]\n</conversation>\n\n## Instructions\n1. Analyze the latest user intent from the conversation.\n2. Compare it against the available routes to find which routes can help fulfill the request.\n3. Respond only with the exact route names from <routes>.\n4. If no routes can help or the intent is already fulfilled, return an empty list.\n\n## Response Format\nReturn your answer strictly in JSON as follows:\n{\"route\": [\"route_name_1\", \"route_name_2\", \"...\"]}\nIf no routes are needed, return an empty list for `route`."
|
||||
}
|
||||
]
|
||||
}
|
||||
487
demos/use_cases/travel_booking/uv.lock
generated
487
demos/use_cases/travel_booking/uv.lock
generated
|
|
@ -1,22 +1,23 @@
|
|||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-doc"
|
||||
version = "0.0.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -28,18 +29,18 @@ dependencies = [
|
|||
{ name = "idna" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload-time = "2025-11-28T23:37:38.911Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7f/9c/36c5c37947ebfb8c7f22e0eb6e4d188ee2d53aa3880f3f2744fb894f0cb1/anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb", size = 113362 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7f/9c/36c5c37947ebfb8c7f22e0eb6e4d188ee2d53aa3880f3f2744fb894f0cb1/anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb", size = 113362, upload-time = "2025-11-28T23:36:57.897Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2025.11.12"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538, upload-time = "2025-11-12T02:54:51.517Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438 },
|
||||
{ url = "https://files.pythonhosted.org/packages/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -47,29 +48,29 @@ name = "click"
|
|||
version = "8.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274 },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "distro"
|
||||
version = "1.9.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722, upload-time = "2023-12-24T09:54:32.31Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277 },
|
||||
{ url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -79,9 +80,9 @@ source = { registry = "https://pypi.org/simple" }
|
|||
dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -94,18 +95,18 @@ dependencies = [
|
|||
{ name = "starlette" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/17/71/2df15009fb4bdd522a069d2fbca6007c6c5487fce5cb965be00fc335f1d1/fastapi-0.125.0.tar.gz", hash = "sha256:16b532691a33e2c5dee1dac32feb31dc6eb41a3dd4ff29a95f9487cb21c054c0", size = 370550 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/17/71/2df15009fb4bdd522a069d2fbca6007c6c5487fce5cb965be00fc335f1d1/fastapi-0.125.0.tar.gz", hash = "sha256:16b532691a33e2c5dee1dac32feb31dc6eb41a3dd4ff29a95f9487cb21c054c0", size = 370550, upload-time = "2025-12-17T21:41:44.15Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/34/2f/ff2fcc98f500713368d8b650e1bbc4a0b3ebcdd3e050dcdaad5f5a13fd7e/fastapi-0.125.0-py3-none-any.whl", hash = "sha256:2570ec4f3aecf5cca8f0428aed2398b774fcdfee6c2116f86e80513f2f86a7a1", size = 112888 },
|
||||
{ url = "https://files.pythonhosted.org/packages/34/2f/ff2fcc98f500713368d8b650e1bbc4a0b3ebcdd3e050dcdaad5f5a13fd7e/fastapi-0.125.0-py3-none-any.whl", hash = "sha256:2570ec4f3aecf5cca8f0428aed2398b774fcdfee6c2116f86e80513f2f86a7a1", size = 112888, upload-time = "2025-12-17T21:41:41.286Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
version = "0.16.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/01/ee/02a2c011bdab74c6fb3c75474d40b3052059d95df7e73351460c8588d963/h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1", size = 101250, upload-time = "2025-04-24T03:35:25.427Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515 },
|
||||
{ url = "https://files.pythonhosted.org/packages/04/4b/29cac41a4d98d144bf5f6d33995617b185d14b22401f75ca86f384e87ff1/h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86", size = 37515, upload-time = "2025-04-24T03:35:24.344Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -116,9 +117,9 @@ dependencies = [
|
|||
{ name = "certifi" },
|
||||
{ name = "h11" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/f5/f66802a942d491edb555dd61e3a9961140fd64c90bce1eafd741609d334d/httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55", size = 78784, upload-time = "2025-04-24T22:06:20.566Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -131,115 +132,115 @@ dependencies = [
|
|||
{ name = "httpcore" },
|
||||
{ name = "idna" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b1/df/48c586a5fe32a0f01324ee087459e112ebb7224f646c0b5023f5e79e9956/httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc", size = 141406, upload-time = "2024-12-06T15:37:23.222Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad", size = 73517, upload-time = "2024-12-06T15:37:21.509Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.11"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jiter"
|
||||
version = "0.12.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/45/9d/e0660989c1370e25848bb4c52d061c71837239738ad937e83edca174c273/jiter-0.12.0.tar.gz", hash = "sha256:64dfcd7d5c168b38d3f9f8bba7fc639edb3418abcc74f22fdbe6b8938293f30b", size = 168294 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/45/9d/e0660989c1370e25848bb4c52d061c71837239738ad937e83edca174c273/jiter-0.12.0.tar.gz", hash = "sha256:64dfcd7d5c168b38d3f9f8bba7fc639edb3418abcc74f22fdbe6b8938293f30b", size = 168294, upload-time = "2025-11-09T20:49:23.302Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/91/13cb9505f7be74a933f37da3af22e029f6ba64f5669416cb8b2774bc9682/jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65", size = 316652 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/76/4e9185e5d9bb4e482cf6dec6410d5f78dfeb374cfcecbbe9888d07c52daa/jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:364f1a7294c91281260364222f535bc427f56d4de1d8ffd718162d21fbbd602e", size = 319829 },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/af/727de50995d3a153138139f259baae2379d8cb0522c0c00419957bc478a6/jiter-0.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85ee4d25805d4fb23f0a5167a962ef8e002dbfb29c0989378488e32cf2744b62", size = 350568 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6a/c1/d6e9f4b7a3d5ac63bcbdfddeb50b2dcfbdc512c86cffc008584fdc350233/jiter-0.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:796f466b7942107eb889c08433b6e31b9a7ed31daceaecf8af1be26fb26c0ca8", size = 369052 },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/be/00824cd530f30ed73fa8a4f9f3890a705519e31ccb9e929f1e22062e7c76/jiter-0.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:35506cb71f47dba416694e67af996bbdefb8e3608f1f78799c2e1f9058b01ceb", size = 481585 },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/b6/2ad7990dff9504d4b5052eef64aa9574bd03d722dc7edced97aad0d47be7/jiter-0.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:726c764a90c9218ec9e4f99a33d6bf5ec169163f2ca0fc21b654e88c2abc0abc", size = 380541 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b5/c7/f3c26ecbc1adbf1db0d6bba99192143d8fe8504729d9594542ecc4445784/jiter-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa47810c5565274810b726b0dc86d18dce5fd17b190ebdc3890851d7b2a0e74", size = 364423 },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/51/eac547bf3a2d7f7e556927278e14c56a0604b8cddae75815d5739f65f81d/jiter-0.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f8ec0259d3f26c62aed4d73b198c53e316ae11f0f69c8fbe6682c6dcfa0fcce2", size = 389958 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2c/1f/9ca592e67175f2db156cff035e0d817d6004e293ee0c1d73692d38fcb596/jiter-0.12.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:79307d74ea83465b0152fa23e5e297149506435535282f979f18b9033c0bb025", size = 522084 },
|
||||
{ url = "https://files.pythonhosted.org/packages/83/ff/597d9cdc3028f28224f53e1a9d063628e28b7a5601433e3196edda578cdd/jiter-0.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cf6e6dd18927121fec86739f1a8906944703941d000f0639f3eb6281cc601dca", size = 513054 },
|
||||
{ url = "https://files.pythonhosted.org/packages/24/6d/1970bce1351bd02e3afcc5f49e4f7ef3dabd7fb688f42be7e8091a5b809a/jiter-0.12.0-cp310-cp310-win32.whl", hash = "sha256:b6ae2aec8217327d872cbfb2c1694489057b9433afce447955763e6ab015b4c4", size = 206368 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e3/6b/eb1eb505b2d86709b59ec06681a2b14a94d0941db091f044b9f0e16badc0/jiter-0.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:c7f49ce90a71e44f7e1aa9e7ec415b9686bbc6a5961e57eab511015e6759bc11", size = 204847 },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/f9/eaca4633486b527ebe7e681c431f529b63fe2709e7c5242fc0f43f77ce63/jiter-0.12.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8f8a7e317190b2c2d60eb2e8aa835270b008139562d70fe732e1c0020ec53c9", size = 316435 },
|
||||
{ url = "https://files.pythonhosted.org/packages/10/c1/40c9f7c22f5e6ff715f28113ebaba27ab85f9af2660ad6e1dd6425d14c19/jiter-0.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2218228a077e784c6c8f1a8e5d6b8cb1dea62ce25811c356364848554b2056cd", size = 320548 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/1b/efbb68fe87e7711b00d2cfd1f26bb4bfc25a10539aefeaa7727329ffb9cb/jiter-0.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9354ccaa2982bf2188fd5f57f79f800ef622ec67beb8329903abf6b10da7d423", size = 351915 },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/2d/c06e659888c128ad1e838123d0638f0efad90cc30860cb5f74dd3f2fc0b3/jiter-0.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8f2607185ea89b4af9a604d4c7ec40e45d3ad03ee66998b031134bc510232bb7", size = 368966 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/20/058db4ae5fb07cf6a4ab2e9b9294416f606d8e467fb74c2184b2a1eeacba/jiter-0.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3a585a5e42d25f2e71db5f10b171f5e5ea641d3aa44f7df745aa965606111cc2", size = 482047 },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/bb/dc2b1c122275e1de2eb12905015d61e8316b2f888bdaac34221c301495d6/jiter-0.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd9e21d34edff5a663c631f850edcb786719c960ce887a5661e9c828a53a95d9", size = 380835 },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/7d/38f9cd337575349de16da575ee57ddb2d5a64d425c9367f5ef9e4612e32e/jiter-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a612534770470686cd5431478dc5a1b660eceb410abade6b1b74e320ca98de6", size = 364587 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f0/a3/b13e8e61e70f0bb06085099c4e2462647f53cc2ca97614f7fedcaa2bb9f3/jiter-0.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3985aea37d40a908f887b34d05111e0aae822943796ebf8338877fee2ab67725", size = 390492 },
|
||||
{ url = "https://files.pythonhosted.org/packages/07/71/e0d11422ed027e21422f7bc1883c61deba2d9752b720538430c1deadfbca/jiter-0.12.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:b1207af186495f48f72529f8d86671903c8c10127cac6381b11dddc4aaa52df6", size = 522046 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/59/b968a9aa7102a8375dbbdfbd2aeebe563c7e5dddf0f47c9ef1588a97e224/jiter-0.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ef2fb241de583934c9915a33120ecc06d94aa3381a134570f59eed784e87001e", size = 513392 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ca/e4/7df62002499080dbd61b505c5cb351aa09e9959d176cac2aa8da6f93b13b/jiter-0.12.0-cp311-cp311-win32.whl", hash = "sha256:453b6035672fecce8007465896a25b28a6b59cfe8fbc974b2563a92f5a92a67c", size = 206096 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/60/1032b30ae0572196b0de0e87dce3b6c26a1eff71aad5fe43dee3082d32e0/jiter-0.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:ca264b9603973c2ad9435c71a8ec8b49f8f715ab5ba421c85a51cde9887e421f", size = 204899 },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/d5/c145e526fccdb834063fb45c071df78b0cc426bbaf6de38b0781f45d956f/jiter-0.12.0-cp311-cp311-win_arm64.whl", hash = "sha256:cb00ef392e7d684f2754598c02c409f376ddcef857aae796d559e6cacc2d78a5", size = 188070 },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/c9/5b9f7b4983f1b542c64e84165075335e8a236fa9e2ea03a0c79780062be8/jiter-0.12.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:305e061fa82f4680607a775b2e8e0bcb071cd2205ac38e6ef48c8dd5ebe1cf37", size = 314449 },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/6e/e8efa0e78de00db0aee82c0cf9e8b3f2027efd7f8a71f859d8f4be8e98ef/jiter-0.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5c1860627048e302a528333c9307c818c547f214d8659b0705d2195e1a94b274", size = 319855 },
|
||||
{ url = "https://files.pythonhosted.org/packages/20/26/894cd88e60b5d58af53bec5c6759d1292bd0b37a8b5f60f07abf7a63ae5f/jiter-0.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df37577a4f8408f7e0ec3205d2a8f87672af8f17008358063a4d6425b6081ce3", size = 350171 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f5/27/a7b818b9979ac31b3763d25f3653ec3a954044d5e9f5d87f2f247d679fd1/jiter-0.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:75fdd787356c1c13a4f40b43c2156276ef7a71eb487d98472476476d803fb2cf", size = 365590 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ba/7e/e46195801a97673a83746170b17984aa8ac4a455746354516d02ca5541b4/jiter-0.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1eb5db8d9c65b112aacf14fcd0faae9913d07a8afea5ed06ccdd12b724e966a1", size = 479462 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ca/75/f833bfb009ab4bd11b1c9406d333e3b4357709ed0570bb48c7c06d78c7dd/jiter-0.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73c568cc27c473f82480abc15d1301adf333a7ea4f2e813d6a2c7d8b6ba8d0df", size = 378983 },
|
||||
{ url = "https://files.pythonhosted.org/packages/71/b3/7a69d77943cc837d30165643db753471aff5df39692d598da880a6e51c24/jiter-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4321e8a3d868919bcb1abb1db550d41f2b5b326f72df29e53b2df8b006eb9403", size = 361328 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/ac/a78f90caf48d65ba70d8c6efc6f23150bc39dc3389d65bbec2a95c7bc628/jiter-0.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0a51bad79f8cc9cac2b4b705039f814049142e0050f30d91695a2d9a6611f126", size = 386740 },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/b6/5d31c2cc8e1b6a6bcf3c5721e4ca0a3633d1ab4754b09bc7084f6c4f5327/jiter-0.12.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:2a67b678f6a5f1dd6c36d642d7db83e456bc8b104788262aaefc11a22339f5a9", size = 520875 },
|
||||
{ url = "https://files.pythonhosted.org/packages/30/b5/4df540fae4e9f68c54b8dab004bd8c943a752f0b00efd6e7d64aa3850339/jiter-0.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efe1a211fe1fd14762adea941e3cfd6c611a136e28da6c39272dbb7a1bbe6a86", size = 511457 },
|
||||
{ url = "https://files.pythonhosted.org/packages/07/65/86b74010e450a1a77b2c1aabb91d4a91dd3cd5afce99f34d75fd1ac64b19/jiter-0.12.0-cp312-cp312-win32.whl", hash = "sha256:d779d97c834b4278276ec703dc3fc1735fca50af63eb7262f05bdb4e62203d44", size = 204546 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1c/c7/6659f537f9562d963488e3e55573498a442503ced01f7e169e96a6110383/jiter-0.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:e8269062060212b373316fe69236096aaf4c49022d267c6736eebd66bbbc60bb", size = 205196 },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/f4/935304f5169edadfec7f9c01eacbce4c90bb9a82035ac1de1f3bd2d40be6/jiter-0.12.0-cp312-cp312-win_arm64.whl", hash = "sha256:06cb970936c65de926d648af0ed3d21857f026b1cf5525cb2947aa5e01e05789", size = 186100 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/a6/97209693b177716e22576ee1161674d1d58029eb178e01866a0422b69224/jiter-0.12.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:6cc49d5130a14b732e0612bc76ae8db3b49898732223ef8b7599aa8d9810683e", size = 313658 },
|
||||
{ url = "https://files.pythonhosted.org/packages/06/4d/125c5c1537c7d8ee73ad3d530a442d6c619714b95027143f1b61c0b4dfe0/jiter-0.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:37f27a32ce36364d2fa4f7fdc507279db604d27d239ea2e044c8f148410defe1", size = 318605 },
|
||||
{ url = "https://files.pythonhosted.org/packages/99/bf/a840b89847885064c41a5f52de6e312e91fa84a520848ee56c97e4fa0205/jiter-0.12.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bbc0944aa3d4b4773e348cda635252824a78f4ba44328e042ef1ff3f6080d1cf", size = 349803 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/88/e63441c28e0db50e305ae23e19c1d8fae012d78ed55365da392c1f34b09c/jiter-0.12.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:da25c62d4ee1ffbacb97fac6dfe4dcd6759ebdc9015991e92a6eae5816287f44", size = 365120 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/7c/49b02714af4343970eb8aca63396bc1c82fa01197dbb1e9b0d274b550d4e/jiter-0.12.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:048485c654b838140b007390b8182ba9774621103bd4d77c9c3f6f117474ba45", size = 479918 },
|
||||
{ url = "https://files.pythonhosted.org/packages/69/ba/0a809817fdd5a1db80490b9150645f3aae16afad166960bcd562be194f3b/jiter-0.12.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:635e737fbb7315bef0037c19b88b799143d2d7d3507e61a76751025226b3ac87", size = 379008 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/c3/c9fc0232e736c8877d9e6d83d6eeb0ba4e90c6c073835cc2e8f73fdeef51/jiter-0.12.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e017c417b1ebda911bd13b1e40612704b1f5420e30695112efdbed8a4b389ed", size = 361785 },
|
||||
{ url = "https://files.pythonhosted.org/packages/96/61/61f69b7e442e97ca6cd53086ddc1cf59fb830549bc72c0a293713a60c525/jiter-0.12.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:89b0bfb8b2bf2351fba36bb211ef8bfceba73ef58e7f0c68fb67b5a2795ca2f9", size = 386108 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/2e/76bb3332f28550c8f1eba3bf6e5efe211efda0ddbbaf24976bc7078d42a5/jiter-0.12.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:f5aa5427a629a824a543672778c9ce0c5e556550d1569bb6ea28a85015287626", size = 519937 },
|
||||
{ url = "https://files.pythonhosted.org/packages/84/d6/fa96efa87dc8bff2094fb947f51f66368fa56d8d4fc9e77b25d7fbb23375/jiter-0.12.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed53b3d6acbcb0fd0b90f20c7cb3b24c357fe82a3518934d4edfa8c6898e498c", size = 510853 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/28/93f67fdb4d5904a708119a6ab58a8f1ec226ff10a94a282e0215402a8462/jiter-0.12.0-cp313-cp313-win32.whl", hash = "sha256:4747de73d6b8c78f2e253a2787930f4fffc68da7fa319739f57437f95963c4de", size = 204699 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c4/1f/30b0eb087045a0abe2a5c9c0c0c8da110875a1d3be83afd4a9a4e548be3c/jiter-0.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:e25012eb0c456fcc13354255d0338cd5397cce26c77b2832b3c4e2e255ea5d9a", size = 204258 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2c/f4/2b4daf99b96bce6fc47971890b14b2a36aef88d7beb9f057fafa032c6141/jiter-0.12.0-cp313-cp313-win_arm64.whl", hash = "sha256:c97b92c54fe6110138c872add030a1f99aea2401ddcdaa21edf74705a646dd60", size = 185503 },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/ca/67bb15a7061d6fe20b9b2a2fd783e296a1e0f93468252c093481a2f00efa/jiter-0.12.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:53839b35a38f56b8be26a7851a48b89bc47e5d88e900929df10ed93b95fea3d6", size = 317965 },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/af/1788031cd22e29c3b14bc6ca80b16a39a0b10e611367ffd480c06a259831/jiter-0.12.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94f669548e55c91ab47fef8bddd9c954dab1938644e715ea49d7e117015110a4", size = 345831 },
|
||||
{ url = "https://files.pythonhosted.org/packages/05/17/710bf8472d1dff0d3caf4ced6031060091c1320f84ee7d5dcbed1f352417/jiter-0.12.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:351d54f2b09a41600ffea43d081522d792e81dcfb915f6d2d242744c1cc48beb", size = 361272 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/f1/1dcc4618b59761fef92d10bcbb0b038b5160be653b003651566a185f1a5c/jiter-0.12.0-cp313-cp313t-win_amd64.whl", hash = "sha256:2a5e90604620f94bf62264e7c2c038704d38217b7465b863896c6d7c902b06c7", size = 204604 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/32/63cb1d9f1c5c6632a783c0052cde9ef7ba82688f7065e2f0d5f10a7e3edb/jiter-0.12.0-cp313-cp313t-win_arm64.whl", hash = "sha256:88ef757017e78d2860f96250f9393b7b577b06a956ad102c29c8237554380db3", size = 185628 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/99/45c9f0dbe4a1416b2b9a8a6d1236459540f43d7fb8883cff769a8db0612d/jiter-0.12.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:c46d927acd09c67a9fb1416df45c5a04c27e83aae969267e98fba35b74e99525", size = 312478 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/a7/54ae75613ba9e0f55fcb0bc5d1f807823b5167cc944e9333ff322e9f07dd/jiter-0.12.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:774ff60b27a84a85b27b88cd5583899c59940bcc126caca97eb2a9df6aa00c49", size = 318706 },
|
||||
{ url = "https://files.pythonhosted.org/packages/59/31/2aa241ad2c10774baf6c37f8b8e1f39c07db358f1329f4eb40eba179c2a2/jiter-0.12.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5433fab222fb072237df3f637d01b81f040a07dcac1cb4a5c75c7aa9ed0bef1", size = 351894 },
|
||||
{ url = "https://files.pythonhosted.org/packages/54/4f/0f2759522719133a9042781b18cc94e335b6d290f5e2d3e6899d6af933e3/jiter-0.12.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f8c593c6e71c07866ec6bfb790e202a833eeec885022296aff6b9e0b92d6a70e", size = 365714 },
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/6f/806b895f476582c62a2f52c453151edd8a0fde5411b0497baaa41018e878/jiter-0.12.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:90d32894d4c6877a87ae00c6b915b609406819dce8bc0d4e962e4de2784e567e", size = 478989 },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/6c/012d894dc6e1033acd8db2b8346add33e413ec1c7c002598915278a37f79/jiter-0.12.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:798e46eed9eb10c3adbbacbd3bdb5ecd4cf7064e453d00dbef08802dae6937ff", size = 378615 },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/30/d718d599f6700163e28e2c71c0bbaf6dace692e7df2592fd793ac9276717/jiter-0.12.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3f1368f0a6719ea80013a4eb90ba72e75d7ea67cfc7846db2ca504f3df0169a", size = 364745 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/85/315b45ce4b6ddc7d7fceca24068543b02bdc8782942f4ee49d652e2cc89f/jiter-0.12.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65f04a9d0b4406f7e51279710b27484af411896246200e461d80d3ba0caa901a", size = 386502 },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/0b/ce0434fb40c5b24b368fe81b17074d2840748b4952256bab451b72290a49/jiter-0.12.0-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:fd990541982a24281d12b67a335e44f117e4c6cbad3c3b75c7dea68bf4ce3a67", size = 519845 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e8/a3/7a7a4488ba052767846b9c916d208b3ed114e3eb670ee984e4c565b9cf0d/jiter-0.12.0-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:b111b0e9152fa7df870ecaebb0bd30240d9f7fff1f2003bcb4ed0f519941820b", size = 510701 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/16/052ffbf9d0467b70af24e30f91e0579e13ded0c17bb4a8eb2aed3cb60131/jiter-0.12.0-cp314-cp314-win32.whl", hash = "sha256:a78befb9cc0a45b5a5a0d537b06f8544c2ebb60d19d02c41ff15da28a9e22d42", size = 205029 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e4/18/3cf1f3f0ccc789f76b9a754bdb7a6977e5d1d671ee97a9e14f7eb728d80e/jiter-0.12.0-cp314-cp314-win_amd64.whl", hash = "sha256:e1fe01c082f6aafbe5c8faf0ff074f38dfb911d53f07ec333ca03f8f6226debf", size = 204960 },
|
||||
{ url = "https://files.pythonhosted.org/packages/02/68/736821e52ecfdeeb0f024b8ab01b5a229f6b9293bbdb444c27efade50b0f/jiter-0.12.0-cp314-cp314-win_arm64.whl", hash = "sha256:d72f3b5a432a4c546ea4bedc84cce0c3404874f1d1676260b9c7f048a9855451", size = 185529 },
|
||||
{ url = "https://files.pythonhosted.org/packages/30/61/12ed8ee7a643cce29ac97c2281f9ce3956eb76b037e88d290f4ed0d41480/jiter-0.12.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e6ded41aeba3603f9728ed2b6196e4df875348ab97b28fc8afff115ed42ba7a7", size = 318974 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2d/c6/f3041ede6d0ed5e0e79ff0de4c8f14f401bbf196f2ef3971cdbe5fd08d1d/jiter-0.12.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a947920902420a6ada6ad51892082521978e9dd44a802663b001436e4b771684", size = 345932 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/5d/4d94835889edd01ad0e2dbfc05f7bdfaed46292e7b504a6ac7839aa00edb/jiter-0.12.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:add5e227e0554d3a52cf390a7635edaffdf4f8fce4fdbcef3cc2055bb396a30c", size = 367243 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/76/0051b0ac2816253a99d27baf3dda198663aff882fa6ea7deeb94046da24e/jiter-0.12.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f9b1cda8fcb736250d7e8711d4580ebf004a46771432be0ae4796944b5dfa5d", size = 479315 },
|
||||
{ url = "https://files.pythonhosted.org/packages/70/ae/83f793acd68e5cb24e483f44f482a1a15601848b9b6f199dacb970098f77/jiter-0.12.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:deeb12a2223fe0135c7ff1356a143d57f95bbf1f4a66584f1fc74df21d86b993", size = 380714 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/5e/4808a88338ad2c228b1126b93fcd8ba145e919e886fe910d578230dabe3b/jiter-0.12.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c596cc0f4cb574877550ce4ecd51f8037469146addd676d7c1a30ebe6391923f", size = 365168 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0c/d4/04619a9e8095b42aef436b5aeb4c0282b4ff1b27d1db1508df9f5dc82750/jiter-0.12.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ab4c823b216a4aeab3fdbf579c5843165756bd9ad87cc6b1c65919c4715f783", size = 387893 },
|
||||
{ url = "https://files.pythonhosted.org/packages/17/ea/d3c7e62e4546fdc39197fa4a4315a563a89b95b6d54c0d25373842a59cbe/jiter-0.12.0-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:e427eee51149edf962203ff8db75a7514ab89be5cb623fb9cea1f20b54f1107b", size = 520828 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/0b/c6d3562a03fd767e31cb119d9041ea7958c3c80cb3d753eafb19b3b18349/jiter-0.12.0-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:edb868841f84c111255ba5e80339d386d937ec1fdce419518ce1bd9370fac5b6", size = 511009 },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/51/2cb4468b3448a8385ebcd15059d325c9ce67df4e2758d133ab9442b19834/jiter-0.12.0-cp314-cp314t-win32.whl", hash = "sha256:8bbcfe2791dfdb7c5e48baf646d37a6a3dcb5a97a032017741dea9f817dca183", size = 205110 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b2/c5/ae5ec83dec9c2d1af805fd5fe8f74ebded9c8670c5210ec7820ce0dbeb1e/jiter-0.12.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2fa940963bf02e1d8226027ef461e36af472dea85d36054ff835aeed944dd873", size = 205223 },
|
||||
{ url = "https://files.pythonhosted.org/packages/97/9a/3c5391907277f0e55195550cf3fa8e293ae9ee0c00fb402fec1e38c0c82f/jiter-0.12.0-cp314-cp314t-win_arm64.whl", hash = "sha256:506c9708dd29b27288f9f8f1140c3cb0e3d8ddb045956d7757b1fa0e0f39a473", size = 185564 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/54/5339ef1ecaa881c6948669956567a64d2670941925f245c434f494ffb0e5/jiter-0.12.0-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:4739a4657179ebf08f85914ce50332495811004cc1747852e8b2041ed2aab9b8", size = 311144 },
|
||||
{ url = "https://files.pythonhosted.org/packages/27/74/3446c652bffbd5e81ab354e388b1b5fc1d20daac34ee0ed11ff096b1b01a/jiter-0.12.0-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:41da8def934bf7bec16cb24bd33c0ca62126d2d45d81d17b864bd5ad721393c3", size = 305877 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a1/f4/ed76ef9043450f57aac2d4fbeb27175aa0eb9c38f833be6ef6379b3b9a86/jiter-0.12.0-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c44ee814f499c082e69872d426b624987dbc5943ab06e9bbaa4f81989fdb79e", size = 340419 },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/01/857d4608f5edb0664aa791a3d45702e1a5bcfff9934da74035e7b9803846/jiter-0.12.0-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd2097de91cf03eaa27b3cbdb969addf83f0179c6afc41bbc4513705e013c65d", size = 347212 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cb/f5/12efb8ada5f5c9edc1d4555fe383c1fb2eac05ac5859258a72d61981d999/jiter-0.12.0-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:e8547883d7b96ef2e5fe22b88f8a4c8725a56e7f4abafff20fd5272d634c7ecb", size = 309974 },
|
||||
{ url = "https://files.pythonhosted.org/packages/85/15/d6eb3b770f6a0d332675141ab3962fd4a7c270ede3515d9f3583e1d28276/jiter-0.12.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:89163163c0934854a668ed783a2546a0617f71706a2551a4a0666d91ab365d6b", size = 304233 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8c/3e/e7e06743294eea2cf02ced6aa0ff2ad237367394e37a0e2b4a1108c67a36/jiter-0.12.0-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d96b264ab7d34bbb2312dedc47ce07cd53f06835eacbc16dde3761f47c3a9e7f", size = 338537 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/9c/6753e6522b8d0ef07d3a3d239426669e984fb0eba15a315cdbc1253904e4/jiter-0.12.0-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c24e864cb30ab82311c6425655b0cdab0a98c5d973b065c66a3f020740c2324c", size = 346110 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/91/13cb9505f7be74a933f37da3af22e029f6ba64f5669416cb8b2774bc9682/jiter-0.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e7acbaba9703d5de82a2c98ae6a0f59ab9770ab5af5fa35e43a303aee962cf65", size = 316652, upload-time = "2025-11-09T20:46:41.021Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/76/4e9185e5d9bb4e482cf6dec6410d5f78dfeb374cfcecbbe9888d07c52daa/jiter-0.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:364f1a7294c91281260364222f535bc427f56d4de1d8ffd718162d21fbbd602e", size = 319829, upload-time = "2025-11-09T20:46:43.281Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/af/727de50995d3a153138139f259baae2379d8cb0522c0c00419957bc478a6/jiter-0.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85ee4d25805d4fb23f0a5167a962ef8e002dbfb29c0989378488e32cf2744b62", size = 350568, upload-time = "2025-11-09T20:46:45.075Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6a/c1/d6e9f4b7a3d5ac63bcbdfddeb50b2dcfbdc512c86cffc008584fdc350233/jiter-0.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:796f466b7942107eb889c08433b6e31b9a7ed31daceaecf8af1be26fb26c0ca8", size = 369052, upload-time = "2025-11-09T20:46:46.818Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/be/00824cd530f30ed73fa8a4f9f3890a705519e31ccb9e929f1e22062e7c76/jiter-0.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:35506cb71f47dba416694e67af996bbdefb8e3608f1f78799c2e1f9058b01ceb", size = 481585, upload-time = "2025-11-09T20:46:48.319Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/b6/2ad7990dff9504d4b5052eef64aa9574bd03d722dc7edced97aad0d47be7/jiter-0.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:726c764a90c9218ec9e4f99a33d6bf5ec169163f2ca0fc21b654e88c2abc0abc", size = 380541, upload-time = "2025-11-09T20:46:49.643Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b5/c7/f3c26ecbc1adbf1db0d6bba99192143d8fe8504729d9594542ecc4445784/jiter-0.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa47810c5565274810b726b0dc86d18dce5fd17b190ebdc3890851d7b2a0e74", size = 364423, upload-time = "2025-11-09T20:46:51.731Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/51/eac547bf3a2d7f7e556927278e14c56a0604b8cddae75815d5739f65f81d/jiter-0.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f8ec0259d3f26c62aed4d73b198c53e316ae11f0f69c8fbe6682c6dcfa0fcce2", size = 389958, upload-time = "2025-11-09T20:46:53.432Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2c/1f/9ca592e67175f2db156cff035e0d817d6004e293ee0c1d73692d38fcb596/jiter-0.12.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:79307d74ea83465b0152fa23e5e297149506435535282f979f18b9033c0bb025", size = 522084, upload-time = "2025-11-09T20:46:54.848Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/83/ff/597d9cdc3028f28224f53e1a9d063628e28b7a5601433e3196edda578cdd/jiter-0.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cf6e6dd18927121fec86739f1a8906944703941d000f0639f3eb6281cc601dca", size = 513054, upload-time = "2025-11-09T20:46:56.487Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/24/6d/1970bce1351bd02e3afcc5f49e4f7ef3dabd7fb688f42be7e8091a5b809a/jiter-0.12.0-cp310-cp310-win32.whl", hash = "sha256:b6ae2aec8217327d872cbfb2c1694489057b9433afce447955763e6ab015b4c4", size = 206368, upload-time = "2025-11-09T20:46:58.638Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e3/6b/eb1eb505b2d86709b59ec06681a2b14a94d0941db091f044b9f0e16badc0/jiter-0.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:c7f49ce90a71e44f7e1aa9e7ec415b9686bbc6a5961e57eab511015e6759bc11", size = 204847, upload-time = "2025-11-09T20:47:00.295Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/f9/eaca4633486b527ebe7e681c431f529b63fe2709e7c5242fc0f43f77ce63/jiter-0.12.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8f8a7e317190b2c2d60eb2e8aa835270b008139562d70fe732e1c0020ec53c9", size = 316435, upload-time = "2025-11-09T20:47:02.087Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/10/c1/40c9f7c22f5e6ff715f28113ebaba27ab85f9af2660ad6e1dd6425d14c19/jiter-0.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2218228a077e784c6c8f1a8e5d6b8cb1dea62ce25811c356364848554b2056cd", size = 320548, upload-time = "2025-11-09T20:47:03.409Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/1b/efbb68fe87e7711b00d2cfd1f26bb4bfc25a10539aefeaa7727329ffb9cb/jiter-0.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9354ccaa2982bf2188fd5f57f79f800ef622ec67beb8329903abf6b10da7d423", size = 351915, upload-time = "2025-11-09T20:47:05.171Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/2d/c06e659888c128ad1e838123d0638f0efad90cc30860cb5f74dd3f2fc0b3/jiter-0.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8f2607185ea89b4af9a604d4c7ec40e45d3ad03ee66998b031134bc510232bb7", size = 368966, upload-time = "2025-11-09T20:47:06.508Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/20/058db4ae5fb07cf6a4ab2e9b9294416f606d8e467fb74c2184b2a1eeacba/jiter-0.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3a585a5e42d25f2e71db5f10b171f5e5ea641d3aa44f7df745aa965606111cc2", size = 482047, upload-time = "2025-11-09T20:47:08.382Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/bb/dc2b1c122275e1de2eb12905015d61e8316b2f888bdaac34221c301495d6/jiter-0.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd9e21d34edff5a663c631f850edcb786719c960ce887a5661e9c828a53a95d9", size = 380835, upload-time = "2025-11-09T20:47:09.81Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/7d/38f9cd337575349de16da575ee57ddb2d5a64d425c9367f5ef9e4612e32e/jiter-0.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a612534770470686cd5431478dc5a1b660eceb410abade6b1b74e320ca98de6", size = 364587, upload-time = "2025-11-09T20:47:11.529Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f0/a3/b13e8e61e70f0bb06085099c4e2462647f53cc2ca97614f7fedcaa2bb9f3/jiter-0.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3985aea37d40a908f887b34d05111e0aae822943796ebf8338877fee2ab67725", size = 390492, upload-time = "2025-11-09T20:47:12.993Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/07/71/e0d11422ed027e21422f7bc1883c61deba2d9752b720538430c1deadfbca/jiter-0.12.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:b1207af186495f48f72529f8d86671903c8c10127cac6381b11dddc4aaa52df6", size = 522046, upload-time = "2025-11-09T20:47:14.6Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/59/b968a9aa7102a8375dbbdfbd2aeebe563c7e5dddf0f47c9ef1588a97e224/jiter-0.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ef2fb241de583934c9915a33120ecc06d94aa3381a134570f59eed784e87001e", size = 513392, upload-time = "2025-11-09T20:47:16.011Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ca/e4/7df62002499080dbd61b505c5cb351aa09e9959d176cac2aa8da6f93b13b/jiter-0.12.0-cp311-cp311-win32.whl", hash = "sha256:453b6035672fecce8007465896a25b28a6b59cfe8fbc974b2563a92f5a92a67c", size = 206096, upload-time = "2025-11-09T20:47:17.344Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/60/1032b30ae0572196b0de0e87dce3b6c26a1eff71aad5fe43dee3082d32e0/jiter-0.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:ca264b9603973c2ad9435c71a8ec8b49f8f715ab5ba421c85a51cde9887e421f", size = 204899, upload-time = "2025-11-09T20:47:19.365Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/d5/c145e526fccdb834063fb45c071df78b0cc426bbaf6de38b0781f45d956f/jiter-0.12.0-cp311-cp311-win_arm64.whl", hash = "sha256:cb00ef392e7d684f2754598c02c409f376ddcef857aae796d559e6cacc2d78a5", size = 188070, upload-time = "2025-11-09T20:47:20.75Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/c9/5b9f7b4983f1b542c64e84165075335e8a236fa9e2ea03a0c79780062be8/jiter-0.12.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:305e061fa82f4680607a775b2e8e0bcb071cd2205ac38e6ef48c8dd5ebe1cf37", size = 314449, upload-time = "2025-11-09T20:47:22.999Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/6e/e8efa0e78de00db0aee82c0cf9e8b3f2027efd7f8a71f859d8f4be8e98ef/jiter-0.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5c1860627048e302a528333c9307c818c547f214d8659b0705d2195e1a94b274", size = 319855, upload-time = "2025-11-09T20:47:24.779Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/20/26/894cd88e60b5d58af53bec5c6759d1292bd0b37a8b5f60f07abf7a63ae5f/jiter-0.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df37577a4f8408f7e0ec3205d2a8f87672af8f17008358063a4d6425b6081ce3", size = 350171, upload-time = "2025-11-09T20:47:26.469Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f5/27/a7b818b9979ac31b3763d25f3653ec3a954044d5e9f5d87f2f247d679fd1/jiter-0.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:75fdd787356c1c13a4f40b43c2156276ef7a71eb487d98472476476d803fb2cf", size = 365590, upload-time = "2025-11-09T20:47:27.918Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ba/7e/e46195801a97673a83746170b17984aa8ac4a455746354516d02ca5541b4/jiter-0.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1eb5db8d9c65b112aacf14fcd0faae9913d07a8afea5ed06ccdd12b724e966a1", size = 479462, upload-time = "2025-11-09T20:47:29.654Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ca/75/f833bfb009ab4bd11b1c9406d333e3b4357709ed0570bb48c7c06d78c7dd/jiter-0.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73c568cc27c473f82480abc15d1301adf333a7ea4f2e813d6a2c7d8b6ba8d0df", size = 378983, upload-time = "2025-11-09T20:47:31.026Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/71/b3/7a69d77943cc837d30165643db753471aff5df39692d598da880a6e51c24/jiter-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4321e8a3d868919bcb1abb1db550d41f2b5b326f72df29e53b2df8b006eb9403", size = 361328, upload-time = "2025-11-09T20:47:33.286Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/ac/a78f90caf48d65ba70d8c6efc6f23150bc39dc3389d65bbec2a95c7bc628/jiter-0.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0a51bad79f8cc9cac2b4b705039f814049142e0050f30d91695a2d9a6611f126", size = 386740, upload-time = "2025-11-09T20:47:34.703Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/b6/5d31c2cc8e1b6a6bcf3c5721e4ca0a3633d1ab4754b09bc7084f6c4f5327/jiter-0.12.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:2a67b678f6a5f1dd6c36d642d7db83e456bc8b104788262aaefc11a22339f5a9", size = 520875, upload-time = "2025-11-09T20:47:36.058Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/30/b5/4df540fae4e9f68c54b8dab004bd8c943a752f0b00efd6e7d64aa3850339/jiter-0.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efe1a211fe1fd14762adea941e3cfd6c611a136e28da6c39272dbb7a1bbe6a86", size = 511457, upload-time = "2025-11-09T20:47:37.932Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/07/65/86b74010e450a1a77b2c1aabb91d4a91dd3cd5afce99f34d75fd1ac64b19/jiter-0.12.0-cp312-cp312-win32.whl", hash = "sha256:d779d97c834b4278276ec703dc3fc1735fca50af63eb7262f05bdb4e62203d44", size = 204546, upload-time = "2025-11-09T20:47:40.47Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1c/c7/6659f537f9562d963488e3e55573498a442503ced01f7e169e96a6110383/jiter-0.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:e8269062060212b373316fe69236096aaf4c49022d267c6736eebd66bbbc60bb", size = 205196, upload-time = "2025-11-09T20:47:41.794Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/f4/935304f5169edadfec7f9c01eacbce4c90bb9a82035ac1de1f3bd2d40be6/jiter-0.12.0-cp312-cp312-win_arm64.whl", hash = "sha256:06cb970936c65de926d648af0ed3d21857f026b1cf5525cb2947aa5e01e05789", size = 186100, upload-time = "2025-11-09T20:47:43.007Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/a6/97209693b177716e22576ee1161674d1d58029eb178e01866a0422b69224/jiter-0.12.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:6cc49d5130a14b732e0612bc76ae8db3b49898732223ef8b7599aa8d9810683e", size = 313658, upload-time = "2025-11-09T20:47:44.424Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/06/4d/125c5c1537c7d8ee73ad3d530a442d6c619714b95027143f1b61c0b4dfe0/jiter-0.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:37f27a32ce36364d2fa4f7fdc507279db604d27d239ea2e044c8f148410defe1", size = 318605, upload-time = "2025-11-09T20:47:45.973Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/99/bf/a840b89847885064c41a5f52de6e312e91fa84a520848ee56c97e4fa0205/jiter-0.12.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bbc0944aa3d4b4773e348cda635252824a78f4ba44328e042ef1ff3f6080d1cf", size = 349803, upload-time = "2025-11-09T20:47:47.535Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/88/e63441c28e0db50e305ae23e19c1d8fae012d78ed55365da392c1f34b09c/jiter-0.12.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:da25c62d4ee1ffbacb97fac6dfe4dcd6759ebdc9015991e92a6eae5816287f44", size = 365120, upload-time = "2025-11-09T20:47:49.284Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/7c/49b02714af4343970eb8aca63396bc1c82fa01197dbb1e9b0d274b550d4e/jiter-0.12.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:048485c654b838140b007390b8182ba9774621103bd4d77c9c3f6f117474ba45", size = 479918, upload-time = "2025-11-09T20:47:50.807Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/69/ba/0a809817fdd5a1db80490b9150645f3aae16afad166960bcd562be194f3b/jiter-0.12.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:635e737fbb7315bef0037c19b88b799143d2d7d3507e61a76751025226b3ac87", size = 379008, upload-time = "2025-11-09T20:47:52.211Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/c3/c9fc0232e736c8877d9e6d83d6eeb0ba4e90c6c073835cc2e8f73fdeef51/jiter-0.12.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e017c417b1ebda911bd13b1e40612704b1f5420e30695112efdbed8a4b389ed", size = 361785, upload-time = "2025-11-09T20:47:53.512Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/96/61/61f69b7e442e97ca6cd53086ddc1cf59fb830549bc72c0a293713a60c525/jiter-0.12.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:89b0bfb8b2bf2351fba36bb211ef8bfceba73ef58e7f0c68fb67b5a2795ca2f9", size = 386108, upload-time = "2025-11-09T20:47:54.893Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/2e/76bb3332f28550c8f1eba3bf6e5efe211efda0ddbbaf24976bc7078d42a5/jiter-0.12.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:f5aa5427a629a824a543672778c9ce0c5e556550d1569bb6ea28a85015287626", size = 519937, upload-time = "2025-11-09T20:47:56.253Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/84/d6/fa96efa87dc8bff2094fb947f51f66368fa56d8d4fc9e77b25d7fbb23375/jiter-0.12.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed53b3d6acbcb0fd0b90f20c7cb3b24c357fe82a3518934d4edfa8c6898e498c", size = 510853, upload-time = "2025-11-09T20:47:58.32Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/28/93f67fdb4d5904a708119a6ab58a8f1ec226ff10a94a282e0215402a8462/jiter-0.12.0-cp313-cp313-win32.whl", hash = "sha256:4747de73d6b8c78f2e253a2787930f4fffc68da7fa319739f57437f95963c4de", size = 204699, upload-time = "2025-11-09T20:47:59.686Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c4/1f/30b0eb087045a0abe2a5c9c0c0c8da110875a1d3be83afd4a9a4e548be3c/jiter-0.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:e25012eb0c456fcc13354255d0338cd5397cce26c77b2832b3c4e2e255ea5d9a", size = 204258, upload-time = "2025-11-09T20:48:01.01Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2c/f4/2b4daf99b96bce6fc47971890b14b2a36aef88d7beb9f057fafa032c6141/jiter-0.12.0-cp313-cp313-win_arm64.whl", hash = "sha256:c97b92c54fe6110138c872add030a1f99aea2401ddcdaa21edf74705a646dd60", size = 185503, upload-time = "2025-11-09T20:48:02.35Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/ca/67bb15a7061d6fe20b9b2a2fd783e296a1e0f93468252c093481a2f00efa/jiter-0.12.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:53839b35a38f56b8be26a7851a48b89bc47e5d88e900929df10ed93b95fea3d6", size = 317965, upload-time = "2025-11-09T20:48:03.783Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/af/1788031cd22e29c3b14bc6ca80b16a39a0b10e611367ffd480c06a259831/jiter-0.12.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94f669548e55c91ab47fef8bddd9c954dab1938644e715ea49d7e117015110a4", size = 345831, upload-time = "2025-11-09T20:48:05.55Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/05/17/710bf8472d1dff0d3caf4ced6031060091c1320f84ee7d5dcbed1f352417/jiter-0.12.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:351d54f2b09a41600ffea43d081522d792e81dcfb915f6d2d242744c1cc48beb", size = 361272, upload-time = "2025-11-09T20:48:06.951Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/f1/1dcc4618b59761fef92d10bcbb0b038b5160be653b003651566a185f1a5c/jiter-0.12.0-cp313-cp313t-win_amd64.whl", hash = "sha256:2a5e90604620f94bf62264e7c2c038704d38217b7465b863896c6d7c902b06c7", size = 204604, upload-time = "2025-11-09T20:48:08.328Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/32/63cb1d9f1c5c6632a783c0052cde9ef7ba82688f7065e2f0d5f10a7e3edb/jiter-0.12.0-cp313-cp313t-win_arm64.whl", hash = "sha256:88ef757017e78d2860f96250f9393b7b577b06a956ad102c29c8237554380db3", size = 185628, upload-time = "2025-11-09T20:48:09.572Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/99/45c9f0dbe4a1416b2b9a8a6d1236459540f43d7fb8883cff769a8db0612d/jiter-0.12.0-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:c46d927acd09c67a9fb1416df45c5a04c27e83aae969267e98fba35b74e99525", size = 312478, upload-time = "2025-11-09T20:48:10.898Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/a7/54ae75613ba9e0f55fcb0bc5d1f807823b5167cc944e9333ff322e9f07dd/jiter-0.12.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:774ff60b27a84a85b27b88cd5583899c59940bcc126caca97eb2a9df6aa00c49", size = 318706, upload-time = "2025-11-09T20:48:12.266Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/59/31/2aa241ad2c10774baf6c37f8b8e1f39c07db358f1329f4eb40eba179c2a2/jiter-0.12.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5433fab222fb072237df3f637d01b81f040a07dcac1cb4a5c75c7aa9ed0bef1", size = 351894, upload-time = "2025-11-09T20:48:13.673Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/54/4f/0f2759522719133a9042781b18cc94e335b6d290f5e2d3e6899d6af933e3/jiter-0.12.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f8c593c6e71c07866ec6bfb790e202a833eeec885022296aff6b9e0b92d6a70e", size = 365714, upload-time = "2025-11-09T20:48:15.083Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/6f/806b895f476582c62a2f52c453151edd8a0fde5411b0497baaa41018e878/jiter-0.12.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:90d32894d4c6877a87ae00c6b915b609406819dce8bc0d4e962e4de2784e567e", size = 478989, upload-time = "2025-11-09T20:48:16.706Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/6c/012d894dc6e1033acd8db2b8346add33e413ec1c7c002598915278a37f79/jiter-0.12.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:798e46eed9eb10c3adbbacbd3bdb5ecd4cf7064e453d00dbef08802dae6937ff", size = 378615, upload-time = "2025-11-09T20:48:18.614Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/30/d718d599f6700163e28e2c71c0bbaf6dace692e7df2592fd793ac9276717/jiter-0.12.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3f1368f0a6719ea80013a4eb90ba72e75d7ea67cfc7846db2ca504f3df0169a", size = 364745, upload-time = "2025-11-09T20:48:20.117Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/85/315b45ce4b6ddc7d7fceca24068543b02bdc8782942f4ee49d652e2cc89f/jiter-0.12.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65f04a9d0b4406f7e51279710b27484af411896246200e461d80d3ba0caa901a", size = 386502, upload-time = "2025-11-09T20:48:21.543Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/0b/ce0434fb40c5b24b368fe81b17074d2840748b4952256bab451b72290a49/jiter-0.12.0-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:fd990541982a24281d12b67a335e44f117e4c6cbad3c3b75c7dea68bf4ce3a67", size = 519845, upload-time = "2025-11-09T20:48:22.964Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e8/a3/7a7a4488ba052767846b9c916d208b3ed114e3eb670ee984e4c565b9cf0d/jiter-0.12.0-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:b111b0e9152fa7df870ecaebb0bd30240d9f7fff1f2003bcb4ed0f519941820b", size = 510701, upload-time = "2025-11-09T20:48:24.483Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/16/052ffbf9d0467b70af24e30f91e0579e13ded0c17bb4a8eb2aed3cb60131/jiter-0.12.0-cp314-cp314-win32.whl", hash = "sha256:a78befb9cc0a45b5a5a0d537b06f8544c2ebb60d19d02c41ff15da28a9e22d42", size = 205029, upload-time = "2025-11-09T20:48:25.749Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e4/18/3cf1f3f0ccc789f76b9a754bdb7a6977e5d1d671ee97a9e14f7eb728d80e/jiter-0.12.0-cp314-cp314-win_amd64.whl", hash = "sha256:e1fe01c082f6aafbe5c8faf0ff074f38dfb911d53f07ec333ca03f8f6226debf", size = 204960, upload-time = "2025-11-09T20:48:27.415Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/02/68/736821e52ecfdeeb0f024b8ab01b5a229f6b9293bbdb444c27efade50b0f/jiter-0.12.0-cp314-cp314-win_arm64.whl", hash = "sha256:d72f3b5a432a4c546ea4bedc84cce0c3404874f1d1676260b9c7f048a9855451", size = 185529, upload-time = "2025-11-09T20:48:29.125Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/30/61/12ed8ee7a643cce29ac97c2281f9ce3956eb76b037e88d290f4ed0d41480/jiter-0.12.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:e6ded41aeba3603f9728ed2b6196e4df875348ab97b28fc8afff115ed42ba7a7", size = 318974, upload-time = "2025-11-09T20:48:30.87Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2d/c6/f3041ede6d0ed5e0e79ff0de4c8f14f401bbf196f2ef3971cdbe5fd08d1d/jiter-0.12.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a947920902420a6ada6ad51892082521978e9dd44a802663b001436e4b771684", size = 345932, upload-time = "2025-11-09T20:48:32.658Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/5d/4d94835889edd01ad0e2dbfc05f7bdfaed46292e7b504a6ac7839aa00edb/jiter-0.12.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:add5e227e0554d3a52cf390a7635edaffdf4f8fce4fdbcef3cc2055bb396a30c", size = 367243, upload-time = "2025-11-09T20:48:34.093Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/76/0051b0ac2816253a99d27baf3dda198663aff882fa6ea7deeb94046da24e/jiter-0.12.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f9b1cda8fcb736250d7e8711d4580ebf004a46771432be0ae4796944b5dfa5d", size = 479315, upload-time = "2025-11-09T20:48:35.507Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/70/ae/83f793acd68e5cb24e483f44f482a1a15601848b9b6f199dacb970098f77/jiter-0.12.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:deeb12a2223fe0135c7ff1356a143d57f95bbf1f4a66584f1fc74df21d86b993", size = 380714, upload-time = "2025-11-09T20:48:40.014Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/5e/4808a88338ad2c228b1126b93fcd8ba145e919e886fe910d578230dabe3b/jiter-0.12.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c596cc0f4cb574877550ce4ecd51f8037469146addd676d7c1a30ebe6391923f", size = 365168, upload-time = "2025-11-09T20:48:41.462Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0c/d4/04619a9e8095b42aef436b5aeb4c0282b4ff1b27d1db1508df9f5dc82750/jiter-0.12.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ab4c823b216a4aeab3fdbf579c5843165756bd9ad87cc6b1c65919c4715f783", size = 387893, upload-time = "2025-11-09T20:48:42.921Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/17/ea/d3c7e62e4546fdc39197fa4a4315a563a89b95b6d54c0d25373842a59cbe/jiter-0.12.0-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:e427eee51149edf962203ff8db75a7514ab89be5cb623fb9cea1f20b54f1107b", size = 520828, upload-time = "2025-11-09T20:48:44.278Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/0b/c6d3562a03fd767e31cb119d9041ea7958c3c80cb3d753eafb19b3b18349/jiter-0.12.0-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:edb868841f84c111255ba5e80339d386d937ec1fdce419518ce1bd9370fac5b6", size = 511009, upload-time = "2025-11-09T20:48:45.726Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/51/2cb4468b3448a8385ebcd15059d325c9ce67df4e2758d133ab9442b19834/jiter-0.12.0-cp314-cp314t-win32.whl", hash = "sha256:8bbcfe2791dfdb7c5e48baf646d37a6a3dcb5a97a032017741dea9f817dca183", size = 205110, upload-time = "2025-11-09T20:48:47.033Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b2/c5/ae5ec83dec9c2d1af805fd5fe8f74ebded9c8670c5210ec7820ce0dbeb1e/jiter-0.12.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2fa940963bf02e1d8226027ef461e36af472dea85d36054ff835aeed944dd873", size = 205223, upload-time = "2025-11-09T20:48:49.076Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/97/9a/3c5391907277f0e55195550cf3fa8e293ae9ee0c00fb402fec1e38c0c82f/jiter-0.12.0-cp314-cp314t-win_arm64.whl", hash = "sha256:506c9708dd29b27288f9f8f1140c3cb0e3d8ddb045956d7757b1fa0e0f39a473", size = 185564, upload-time = "2025-11-09T20:48:50.376Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/54/5339ef1ecaa881c6948669956567a64d2670941925f245c434f494ffb0e5/jiter-0.12.0-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:4739a4657179ebf08f85914ce50332495811004cc1747852e8b2041ed2aab9b8", size = 311144, upload-time = "2025-11-09T20:49:10.503Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/27/74/3446c652bffbd5e81ab354e388b1b5fc1d20daac34ee0ed11ff096b1b01a/jiter-0.12.0-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:41da8def934bf7bec16cb24bd33c0ca62126d2d45d81d17b864bd5ad721393c3", size = 305877, upload-time = "2025-11-09T20:49:12.269Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a1/f4/ed76ef9043450f57aac2d4fbeb27175aa0eb9c38f833be6ef6379b3b9a86/jiter-0.12.0-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c44ee814f499c082e69872d426b624987dbc5943ab06e9bbaa4f81989fdb79e", size = 340419, upload-time = "2025-11-09T20:49:13.803Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/21/01/857d4608f5edb0664aa791a3d45702e1a5bcfff9934da74035e7b9803846/jiter-0.12.0-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd2097de91cf03eaa27b3cbdb969addf83f0179c6afc41bbc4513705e013c65d", size = 347212, upload-time = "2025-11-09T20:49:15.643Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cb/f5/12efb8ada5f5c9edc1d4555fe383c1fb2eac05ac5859258a72d61981d999/jiter-0.12.0-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:e8547883d7b96ef2e5fe22b88f8a4c8725a56e7f4abafff20fd5272d634c7ecb", size = 309974, upload-time = "2025-11-09T20:49:17.187Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/85/15/d6eb3b770f6a0d332675141ab3962fd4a7c270ede3515d9f3583e1d28276/jiter-0.12.0-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:89163163c0934854a668ed783a2546a0617f71706a2551a4a0666d91ab365d6b", size = 304233, upload-time = "2025-11-09T20:49:18.734Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8c/3e/e7e06743294eea2cf02ced6aa0ff2ad237367394e37a0e2b4a1108c67a36/jiter-0.12.0-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d96b264ab7d34bbb2312dedc47ce07cd53f06835eacbc16dde3761f47c3a9e7f", size = 338537, upload-time = "2025-11-09T20:49:20.317Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/9c/6753e6522b8d0ef07d3a3d239426669e984fb0eba15a315cdbc1253904e4/jiter-0.12.0-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c24e864cb30ab82311c6425655b0cdab0a98c5d973b065c66a3f020740c2324c", size = 346110, upload-time = "2025-11-09T20:49:21.817Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -256,9 +257,9 @@ dependencies = [
|
|||
{ name = "tqdm" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0f/39/8e347e9fda125324d253084bb1b82407e5e3c7777a03dc398f79b2d95626/openai-2.13.0.tar.gz", hash = "sha256:9ff633b07a19469ec476b1e2b5b26c5ef700886524a7a72f65e6f0b5203142d5", size = 626583 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0f/39/8e347e9fda125324d253084bb1b82407e5e3c7777a03dc398f79b2d95626/openai-2.13.0.tar.gz", hash = "sha256:9ff633b07a19469ec476b1e2b5b26c5ef700886524a7a72f65e6f0b5203142d5", size = 626583, upload-time = "2025-12-16T18:19:44.387Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/d5/eb52edff49d3d5ea116e225538c118699ddeb7c29fa17ec28af14bc10033/openai-2.13.0-py3-none-any.whl", hash = "sha256:746521065fed68df2f9c2d85613bb50844343ea81f60009b60e6a600c9352c79", size = 1066837 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/d5/eb52edff49d3d5ea116e225538c118699ddeb7c29fa17ec28af14bc10033/openai-2.13.0-py3-none-any.whl", hash = "sha256:746521065fed68df2f9c2d85613bb50844343ea81f60009b60e6a600c9352c79", size = 1066837, upload-time = "2025-12-16T18:19:43.124Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -271,9 +272,9 @@ dependencies = [
|
|||
{ name = "typing-extensions" },
|
||||
{ name = "typing-inspection" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/69/44/36f1a6e523abc58ae5f928898e4aca2e0ea509b5aa6f6f392a5d882be928/pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49", size = 821591 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/69/44/36f1a6e523abc58ae5f928898e4aca2e0ea509b5aa6f6f392a5d882be928/pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49", size = 821591, upload-time = "2025-11-26T15:11:46.471Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/87/b70ad306ebb6f9b585f114d0ac2137d792b48be34d732d60e597c2f8465a/pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d", size = 463580 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/87/b70ad306ebb6f9b585f114d0ac2137d792b48be34d732d60e597c2f8465a/pydantic-2.12.5-py3-none-any.whl", hash = "sha256:e561593fccf61e8a20fc46dfc2dfe075b8be7d0188df33f221ad1f0139180f9d", size = 463580, upload-time = "2025-11-26T15:11:44.605Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -283,124 +284,124 @@ source = { registry = "https://pypi.org/simple" }
|
|||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/71/70/23b021c950c2addd24ec408e9ab05d59b035b39d97cdc1130e1bce647bb6/pydantic_core-2.41.5.tar.gz", hash = "sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e", size = 460952 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/71/70/23b021c950c2addd24ec408e9ab05d59b035b39d97cdc1130e1bce647bb6/pydantic_core-2.41.5.tar.gz", hash = "sha256:08daa51ea16ad373ffd5e7606252cc32f07bc72b28284b6bc9c6df804816476e", size = 460952, upload-time = "2025-11-04T13:43:49.098Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c6/90/32c9941e728d564b411d574d8ee0cf09b12ec978cb22b294995bae5549a5/pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146", size = 2107298 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/a8/61c96a77fe28993d9a6fb0f4127e05430a267b235a124545d79fea46dd65/pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2", size = 1901475 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5d/b6/338abf60225acc18cdc08b4faef592d0310923d19a87fba1faf05af5346e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5921a4d3ca3aee735d9fd163808f5e8dd6c6972101e4adbda9a4667908849b97", size = 1918815 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/1c/2ed0433e682983d8e8cba9c8d8ef274d4791ec6a6f24c58935b90e780e0a/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25c479382d26a2a41b7ebea1043564a937db462816ea07afa8a44c0866d52f9", size = 2065567 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b3/24/cf84974ee7d6eae06b9e63289b7b8f6549d416b5c199ca2d7ce13bbcf619/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f547144f2966e1e16ae626d8ce72b4cfa0caedc7fa28052001c94fb2fcaa1c52", size = 2230442 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/21/4e287865504b3edc0136c89c9c09431be326168b1eb7841911cbc877a995/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f52298fbd394f9ed112d56f3d11aabd0d5bd27beb3084cc3d8ad069483b8941", size = 2350956 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/76/7727ef2ffa4b62fcab916686a68a0426b9b790139720e1934e8ba797e238/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:100baa204bb412b74fe285fb0f3a385256dad1d1879f0a5cb1499ed2e83d132a", size = 2068253 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/8c/a4abfc79604bcb4c748e18975c44f94f756f08fb04218d5cb87eb0d3a63e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:05a2c8852530ad2812cb7914dc61a1125dc4e06252ee98e5638a12da6cc6fb6c", size = 2177050 },
|
||||
{ url = "https://files.pythonhosted.org/packages/67/b1/de2e9a9a79b480f9cb0b6e8b6ba4c50b18d4e89852426364c66aa82bb7b3/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:29452c56df2ed968d18d7e21f4ab0ac55e71dc59524872f6fc57dcf4a3249ed2", size = 2147178 },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/c1/dfb33f837a47b20417500efaa0378adc6635b3c79e8369ff7a03c494b4ac/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:d5160812ea7a8a2ffbe233d8da666880cad0cbaf5d4de74ae15c313213d62556", size = 2341833 },
|
||||
{ url = "https://files.pythonhosted.org/packages/47/36/00f398642a0f4b815a9a558c4f1dca1b4020a7d49562807d7bc9ff279a6c/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:df3959765b553b9440adfd3c795617c352154e497a4eaf3752555cfb5da8fc49", size = 2321156 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/70/cad3acd89fde2010807354d978725ae111ddf6d0ea46d1ea1775b5c1bd0c/pydantic_core-2.41.5-cp310-cp310-win32.whl", hash = "sha256:1f8d33a7f4d5a7889e60dc39856d76d09333d8a6ed0f5f1190635cbec70ec4ba", size = 1989378 },
|
||||
{ url = "https://files.pythonhosted.org/packages/76/92/d338652464c6c367e5608e4488201702cd1cbb0f33f7b6a85a60fe5f3720/pydantic_core-2.41.5-cp310-cp310-win_amd64.whl", hash = "sha256:62de39db01b8d593e45871af2af9e497295db8d73b085f6bfd0b18c83c70a8f9", size = 2013622 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e8/72/74a989dd9f2084b3d9530b0915fdda64ac48831c30dbf7c72a41a5232db8/pydantic_core-2.41.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a3a52f6156e73e7ccb0f8cced536adccb7042be67cb45f9562e12b319c119da6", size = 2105873 },
|
||||
{ url = "https://files.pythonhosted.org/packages/12/44/37e403fd9455708b3b942949e1d7febc02167662bf1a7da5b78ee1ea2842/pydantic_core-2.41.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7f3bf998340c6d4b0c9a2f02d6a400e51f123b59565d74dc60d252ce888c260b", size = 1899826 },
|
||||
{ url = "https://files.pythonhosted.org/packages/33/7f/1d5cab3ccf44c1935a359d51a8a2a9e1a654b744b5e7f80d41b88d501eec/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:378bec5c66998815d224c9ca994f1e14c0c21cb95d2f52b6021cc0b2a58f2a5a", size = 1917869 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/6a/30d94a9674a7fe4f4744052ed6c5e083424510be1e93da5bc47569d11810/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e7b576130c69225432866fe2f4a469a85a54ade141d96fd396dffcf607b558f8", size = 2063890 },
|
||||
{ url = "https://files.pythonhosted.org/packages/50/be/76e5d46203fcb2750e542f32e6c371ffa9b8ad17364cf94bb0818dbfb50c/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6cb58b9c66f7e4179a2d5e0f849c48eff5c1fca560994d6eb6543abf955a149e", size = 2229740 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/ee/fed784df0144793489f87db310a6bbf8118d7b630ed07aa180d6067e653a/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:88942d3a3dff3afc8288c21e565e476fc278902ae4d6d134f1eeda118cc830b1", size = 2350021 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/be/8fed28dd0a180dca19e72c233cbf58efa36df055e5b9d90d64fd1740b828/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f31d95a179f8d64d90f6831d71fa93290893a33148d890ba15de25642c5d075b", size = 2066378 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/3b/698cf8ae1d536a010e05121b4958b1257f0b5522085e335360e53a6b1c8b/pydantic_core-2.41.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c1df3d34aced70add6f867a8cf413e299177e0c22660cc767218373d0779487b", size = 2175761 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b8/ba/15d537423939553116dea94ce02f9c31be0fa9d0b806d427e0308ec17145/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4009935984bd36bd2c774e13f9a09563ce8de4abaa7226f5108262fa3e637284", size = 2146303 },
|
||||
{ url = "https://files.pythonhosted.org/packages/58/7f/0de669bf37d206723795f9c90c82966726a2ab06c336deba4735b55af431/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:34a64bc3441dc1213096a20fe27e8e128bd3ff89921706e83c0b1ac971276594", size = 2340355 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e5/de/e7482c435b83d7e3c3ee5ee4451f6e8973cff0eb6007d2872ce6383f6398/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c9e19dd6e28fdcaa5a1de679aec4141f691023916427ef9bae8584f9c2fb3b0e", size = 2319875 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/e6/8c9e81bb6dd7560e33b9053351c29f30c8194b72f2d6932888581f503482/pydantic_core-2.41.5-cp311-cp311-win32.whl", hash = "sha256:2c010c6ded393148374c0f6f0bf89d206bf3217f201faa0635dcd56bd1520f6b", size = 1987549 },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/66/f14d1d978ea94d1bc21fc98fcf570f9542fe55bfcc40269d4e1a21c19bf7/pydantic_core-2.41.5-cp311-cp311-win_amd64.whl", hash = "sha256:76ee27c6e9c7f16f47db7a94157112a2f3a00e958bc626e2f4ee8bec5c328fbe", size = 2011305 },
|
||||
{ url = "https://files.pythonhosted.org/packages/56/d8/0e271434e8efd03186c5386671328154ee349ff0354d83c74f5caaf096ed/pydantic_core-2.41.5-cp311-cp311-win_arm64.whl", hash = "sha256:4bc36bbc0b7584de96561184ad7f012478987882ebf9f9c389b23f432ea3d90f", size = 1972902 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/5d/5f6c63eebb5afee93bcaae4ce9a898f3373ca23df3ccaef086d0233a35a7/pydantic_core-2.41.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f41a7489d32336dbf2199c8c0a215390a751c5b014c2c1c5366e817202e9cdf7", size = 2110990 },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/32/9c2e8ccb57c01111e0fd091f236c7b371c1bccea0fa85247ac55b1e2b6b6/pydantic_core-2.41.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:070259a8818988b9a84a449a2a7337c7f430a22acc0859c6b110aa7212a6d9c0", size = 1896003 },
|
||||
{ url = "https://files.pythonhosted.org/packages/68/b8/a01b53cb0e59139fbc9e4fda3e9724ede8de279097179be4ff31f1abb65a/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e96cea19e34778f8d59fe40775a7a574d95816eb150850a85a7a4c8f4b94ac69", size = 1919200 },
|
||||
{ url = "https://files.pythonhosted.org/packages/38/de/8c36b5198a29bdaade07b5985e80a233a5ac27137846f3bc2d3b40a47360/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed2e99c456e3fadd05c991f8f437ef902e00eedf34320ba2b0842bd1c3ca3a75", size = 2052578 },
|
||||
{ url = "https://files.pythonhosted.org/packages/00/b5/0e8e4b5b081eac6cb3dbb7e60a65907549a1ce035a724368c330112adfdd/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65840751b72fbfd82c3c640cff9284545342a4f1eb1586ad0636955b261b0b05", size = 2208504 },
|
||||
{ url = "https://files.pythonhosted.org/packages/77/56/87a61aad59c7c5b9dc8caad5a41a5545cba3810c3e828708b3d7404f6cef/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e536c98a7626a98feb2d3eaf75944ef6f3dbee447e1f841eae16f2f0a72d8ddc", size = 2335816 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0d/76/941cc9f73529988688a665a5c0ecff1112b3d95ab48f81db5f7606f522d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eceb81a8d74f9267ef4081e246ffd6d129da5d87e37a77c9bde550cb04870c1c", size = 2075366 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/43/ebef01f69baa07a482844faaa0a591bad1ef129253ffd0cdaa9d8a7f72d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d38548150c39b74aeeb0ce8ee1d8e82696f4a4e16ddc6de7b1d8823f7de4b9b5", size = 2171698 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/87/41f3202e4193e3bacfc2c065fab7706ebe81af46a83d3e27605029c1f5a6/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c23e27686783f60290e36827f9c626e63154b82b116d7fe9adba1fda36da706c", size = 2132603 },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/7d/4c00df99cb12070b6bccdef4a195255e6020a550d572768d92cc54dba91a/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:482c982f814460eabe1d3bb0adfdc583387bd4691ef00b90575ca0d2b6fe2294", size = 2329591 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/6a/ebf4b1d65d458f3cda6a7335d141305dfa19bdc61140a884d165a8a1bbc7/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bfea2a5f0b4d8d43adf9d7b8bf019fb46fdd10a2e5cde477fbcb9d1fa08c68e1", size = 2319068 },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/3b/774f2b5cd4192d5ab75870ce4381fd89cf218af999515baf07e7206753f0/pydantic_core-2.41.5-cp312-cp312-win32.whl", hash = "sha256:b74557b16e390ec12dca509bce9264c3bbd128f8a2c376eaa68003d7f327276d", size = 1985908 },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/45/00173a033c801cacf67c190fef088789394feaf88a98a7035b0e40d53dc9/pydantic_core-2.41.5-cp312-cp312-win_amd64.whl", hash = "sha256:1962293292865bca8e54702b08a4f26da73adc83dd1fcf26fbc875b35d81c815", size = 2020145 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f9/22/91fbc821fa6d261b376a3f73809f907cec5ca6025642c463d3488aad22fb/pydantic_core-2.41.5-cp312-cp312-win_arm64.whl", hash = "sha256:1746d4a3d9a794cacae06a5eaaccb4b8643a131d45fbc9af23e353dc0a5ba5c3", size = 1976179 },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/06/8806241ff1f70d9939f9af039c6c35f2360cf16e93c2ca76f184e76b1564/pydantic_core-2.41.5-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:941103c9be18ac8daf7b7adca8228f8ed6bb7a1849020f643b3a14d15b1924d9", size = 2120403 },
|
||||
{ url = "https://files.pythonhosted.org/packages/94/02/abfa0e0bda67faa65fef1c84971c7e45928e108fe24333c81f3bfe35d5f5/pydantic_core-2.41.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:112e305c3314f40c93998e567879e887a3160bb8689ef3d2c04b6cc62c33ac34", size = 1896206 },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/df/a4c740c0943e93e6500f9eb23f4ca7ec9bf71b19e608ae5b579678c8d02f/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cbaad15cb0c90aa221d43c00e77bb33c93e8d36e0bf74760cd00e732d10a6a0", size = 1919307 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9a/e3/6324802931ae1d123528988e0e86587c2072ac2e5394b4bc2bc34b61ff6e/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:03ca43e12fab6023fc79d28ca6b39b05f794ad08ec2feccc59a339b02f2b3d33", size = 2063258 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/d4/2230d7151d4957dd79c3044ea26346c148c98fbf0ee6ebd41056f2d62ab5/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc799088c08fa04e43144b164feb0c13f9a0bc40503f8df3e9fde58a3c0c101e", size = 2214917 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e6/9f/eaac5df17a3672fef0081b6c1bb0b82b33ee89aa5cec0d7b05f52fd4a1fa/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:97aeba56665b4c3235a0e52b2c2f5ae9cd071b8a8310ad27bddb3f7fb30e9aa2", size = 2332186 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cf/4e/35a80cae583a37cf15604b44240e45c05e04e86f9cfd766623149297e971/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:406bf18d345822d6c21366031003612b9c77b3e29ffdb0f612367352aab7d586", size = 2073164 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/e3/f6e262673c6140dd3305d144d032f7bd5f7497d3871c1428521f19f9efa2/pydantic_core-2.41.5-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b93590ae81f7010dbe380cdeab6f515902ebcbefe0b9327cc4804d74e93ae69d", size = 2179146 },
|
||||
{ url = "https://files.pythonhosted.org/packages/75/c7/20bd7fc05f0c6ea2056a4565c6f36f8968c0924f19b7d97bbfea55780e73/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:01a3d0ab748ee531f4ea6c3e48ad9dac84ddba4b0d82291f87248f2f9de8d740", size = 2137788 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3a/8d/34318ef985c45196e004bc46c6eab2eda437e744c124ef0dbe1ff2c9d06b/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:6561e94ba9dacc9c61bce40e2d6bdc3bfaa0259d3ff36ace3b1e6901936d2e3e", size = 2340133 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9c/59/013626bf8c78a5a5d9350d12e7697d3d4de951a75565496abd40ccd46bee/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:915c3d10f81bec3a74fbd4faebe8391013ba61e5a1a8d48c4455b923bdda7858", size = 2324852 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/d9/c248c103856f807ef70c18a4f986693a46a8ffe1602e5d361485da502d20/pydantic_core-2.41.5-cp313-cp313-win32.whl", hash = "sha256:650ae77860b45cfa6e2cdafc42618ceafab3a2d9a3811fcfbd3bbf8ac3c40d36", size = 1994679 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9e/8b/341991b158ddab181cff136acd2552c9f35bd30380422a639c0671e99a91/pydantic_core-2.41.5-cp313-cp313-win_amd64.whl", hash = "sha256:79ec52ec461e99e13791ec6508c722742ad745571f234ea6255bed38c6480f11", size = 2019766 },
|
||||
{ url = "https://files.pythonhosted.org/packages/73/7d/f2f9db34af103bea3e09735bb40b021788a5e834c81eedb541991badf8f5/pydantic_core-2.41.5-cp313-cp313-win_arm64.whl", hash = "sha256:3f84d5c1b4ab906093bdc1ff10484838aca54ef08de4afa9de0f5f14d69639cd", size = 1981005 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ea/28/46b7c5c9635ae96ea0fbb779e271a38129df2550f763937659ee6c5dbc65/pydantic_core-2.41.5-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:3f37a19d7ebcdd20b96485056ba9e8b304e27d9904d233d7b1015db320e51f0a", size = 2119622 },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/1a/145646e5687e8d9a1e8d09acb278c8535ebe9e972e1f162ed338a622f193/pydantic_core-2.41.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1d1d9764366c73f996edd17abb6d9d7649a7eb690006ab6adbda117717099b14", size = 1891725 },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/04/e89c29e267b8060b40dca97bfc64a19b2a3cf99018167ea1677d96368273/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e1c2af0fce638d5f1988b686f3b3ea8cd7de5f244ca147c777769e798a9cd1", size = 1915040 },
|
||||
{ url = "https://files.pythonhosted.org/packages/84/a3/15a82ac7bd97992a82257f777b3583d3e84bdb06ba6858f745daa2ec8a85/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:506d766a8727beef16b7adaeb8ee6217c64fc813646b424d0804d67c16eddb66", size = 2063691 },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/9b/0046701313c6ef08c0c1cf0e028c67c770a4e1275ca73131563c5f2a310a/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4819fa52133c9aa3c387b3328f25c1facc356491e6135b459f1de698ff64d869", size = 2213897 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/cd/6bac76ecd1b27e75a95ca3a9a559c643b3afcd2dd62086d4b7a32a18b169/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b761d210c9ea91feda40d25b4efe82a1707da2ef62901466a42492c028553a2", size = 2333302 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/d2/ef2074dc020dd6e109611a8be4449b98cd25e1b9b8a303c2f0fca2f2bcf7/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22f0fb8c1c583a3b6f24df2470833b40207e907b90c928cc8d3594b76f874375", size = 2064877 },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/66/e9db17a9a763d72f03de903883c057b2592c09509ccfe468187f2a2eef29/pydantic_core-2.41.5-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2782c870e99878c634505236d81e5443092fba820f0373997ff75f90f68cd553", size = 2180680 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/9e/3ce66cebb929f3ced22be85d4c2399b8e85b622db77dad36b73c5387f8f8/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:0177272f88ab8312479336e1d777f6b124537d47f2123f89cb37e0accea97f90", size = 2138960 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a6/62/205a998f4327d2079326b01abee48e502ea739d174f0a89295c481a2272e/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_armv7l.whl", hash = "sha256:63510af5e38f8955b8ee5687740d6ebf7c2a0886d15a6d65c32814613681bc07", size = 2339102 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/0d/f05e79471e889d74d3d88f5bd20d0ed189ad94c2423d81ff8d0000aab4ff/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:e56ba91f47764cc14f1daacd723e3e82d1a89d783f0f5afe9c364b8bb491ccdb", size = 2326039 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/e1/e08a6208bb100da7e0c4b288eed624a703f4d129bde2da475721a80cab32/pydantic_core-2.41.5-cp314-cp314-win32.whl", hash = "sha256:aec5cf2fd867b4ff45b9959f8b20ea3993fc93e63c7363fe6851424c8a7e7c23", size = 1995126 },
|
||||
{ url = "https://files.pythonhosted.org/packages/48/5d/56ba7b24e9557f99c9237e29f5c09913c81eeb2f3217e40e922353668092/pydantic_core-2.41.5-cp314-cp314-win_amd64.whl", hash = "sha256:8e7c86f27c585ef37c35e56a96363ab8de4e549a95512445b85c96d3e2f7c1bf", size = 2015489 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/bb/f7a190991ec9e3e0ba22e4993d8755bbc4a32925c0b5b42775c03e8148f9/pydantic_core-2.41.5-cp314-cp314-win_arm64.whl", hash = "sha256:e672ba74fbc2dc8eea59fb6d4aed6845e6905fc2a8afe93175d94a83ba2a01a0", size = 1977288 },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/ed/77542d0c51538e32e15afe7899d79efce4b81eee631d99850edc2f5e9349/pydantic_core-2.41.5-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:8566def80554c3faa0e65ac30ab0932b9e3a5cd7f8323764303d468e5c37595a", size = 2120255 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/3d/6913dde84d5be21e284439676168b28d8bbba5600d838b9dca99de0fad71/pydantic_core-2.41.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:b80aa5095cd3109962a298ce14110ae16b8c1aece8b72f9dafe81cf597ad80b3", size = 1863760 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/f0/e5e6b99d4191da102f2b0eb9687aaa7f5bea5d9964071a84effc3e40f997/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3006c3dd9ba34b0c094c544c6006cc79e87d8612999f1a5d43b769b89181f23c", size = 1878092 },
|
||||
{ url = "https://files.pythonhosted.org/packages/71/48/36fb760642d568925953bcc8116455513d6e34c4beaa37544118c36aba6d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:72f6c8b11857a856bcfa48c86f5368439f74453563f951e473514579d44aa612", size = 2053385 },
|
||||
{ url = "https://files.pythonhosted.org/packages/20/25/92dc684dd8eb75a234bc1c764b4210cf2646479d54b47bf46061657292a8/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5cb1b2f9742240e4bb26b652a5aeb840aa4b417c7748b6f8387927bc6e45e40d", size = 2218832 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/09/f53e0b05023d3e30357d82eb35835d0f6340ca344720a4599cd663dca599/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd3d54f38609ff308209bd43acea66061494157703364ae40c951f83ba99a1a9", size = 2327585 },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/4e/2ae1aa85d6af35a39b236b1b1641de73f5a6ac4d5a7509f77b814885760c/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ff4321e56e879ee8d2a879501c8e469414d948f4aba74a2d4593184eb326660", size = 2041078 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/13/2e215f17f0ef326fc72afe94776edb77525142c693767fc347ed6288728d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d0d2568a8c11bf8225044aa94409e21da0cb09dcdafe9ecd10250b2baad531a9", size = 2173914 },
|
||||
{ url = "https://files.pythonhosted.org/packages/02/7a/f999a6dcbcd0e5660bc348a3991c8915ce6599f4f2c6ac22f01d7a10816c/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:a39455728aabd58ceabb03c90e12f71fd30fa69615760a075b9fec596456ccc3", size = 2129560 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3a/b1/6c990ac65e3b4c079a4fb9f5b05f5b013afa0f4ed6780a3dd236d2cbdc64/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_armv7l.whl", hash = "sha256:239edca560d05757817c13dc17c50766136d21f7cd0fac50295499ae24f90fdf", size = 2329244 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/02/3c562f3a51afd4d88fff8dffb1771b30cfdfd79befd9883ee094f5b6c0d8/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:2a5e06546e19f24c6a96a129142a75cee553cc018ffee48a460059b1185f4470", size = 2331955 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5c/96/5fb7d8c3c17bc8c62fdb031c47d77a1af698f1d7a406b0f79aaa1338f9ad/pydantic_core-2.41.5-cp314-cp314t-win32.whl", hash = "sha256:b4ececa40ac28afa90871c2cc2b9ffd2ff0bf749380fbdf57d165fd23da353aa", size = 1988906 },
|
||||
{ url = "https://files.pythonhosted.org/packages/22/ed/182129d83032702912c2e2d8bbe33c036f342cc735737064668585dac28f/pydantic_core-2.41.5-cp314-cp314t-win_amd64.whl", hash = "sha256:80aa89cad80b32a912a65332f64a4450ed00966111b6615ca6816153d3585a8c", size = 1981607 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/ed/068e41660b832bb0b1aa5b58011dea2a3fe0ba7861ff38c4d4904c1c1a99/pydantic_core-2.41.5-cp314-cp314t-win_arm64.whl", hash = "sha256:35b44f37a3199f771c3eaa53051bc8a70cd7b54f333531c59e29fd4db5d15008", size = 1974769 },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/72/90fda5ee3b97e51c494938a4a44c3a35a9c96c19bba12372fb9c634d6f57/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:b96d5f26b05d03cc60f11a7761a5ded1741da411e7fe0909e27a5e6a0cb7b034", size = 2115441 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/53/8942f884fa33f50794f119012dc6a1a02ac43a56407adaac20463df8e98f/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:634e8609e89ceecea15e2d61bc9ac3718caaaa71963717bf3c8f38bfde64242c", size = 1930291 },
|
||||
{ url = "https://files.pythonhosted.org/packages/79/c8/ecb9ed9cd942bce09fc888ee960b52654fbdbede4ba6c2d6e0d3b1d8b49c/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:93e8740d7503eb008aa2df04d3b9735f845d43ae845e6dcd2be0b55a2da43cd2", size = 1948632 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/1b/687711069de7efa6af934e74f601e2a4307365e8fdc404703afc453eab26/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15489ba13d61f670dcc96772e733aad1a6f9c429cc27574c6cdaed82d0146ad", size = 2138905 },
|
||||
{ url = "https://files.pythonhosted.org/packages/09/32/59b0c7e63e277fa7911c2fc70ccfb45ce4b98991e7ef37110663437005af/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:7da7087d756b19037bc2c06edc6c170eeef3c3bafcb8f532ff17d64dc427adfd", size = 2110495 },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/81/05e400037eaf55ad400bcd318c05bb345b57e708887f07ddb2d20e3f0e98/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:aabf5777b5c8ca26f7824cb4a120a740c9588ed58df9b2d196ce92fba42ff8dc", size = 1915388 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/0d/e3549b2399f71d56476b77dbf3cf8937cec5cd70536bdc0e374a421d0599/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c007fe8a43d43b3969e8469004e9845944f1a80e6acd47c150856bb87f230c56", size = 1942879 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f7/07/34573da085946b6a313d7c42f82f16e8920bfd730665de2d11c0c37a74b5/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76d0819de158cd855d1cbb8fcafdf6f5cf1eb8e470abe056d5d161106e38062b", size = 2139017 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e6/b0/1a2aa41e3b5a4ba11420aba2d091b2d17959c8d1519ece3627c371951e73/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b5819cd790dbf0c5eb9f82c73c16b39a65dd6dd4d1439dcdea7816ec9adddab8", size = 2103351 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/ee/31b1f0020baaf6d091c87900ae05c6aeae101fa4e188e1613c80e4f1ea31/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5a4e67afbc95fa5c34cf27d9089bca7fcab4e51e57278d710320a70b956d1b9a", size = 1925363 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/89/ab8e86208467e467a80deaca4e434adac37b10a9d134cd2f99b28a01e483/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ece5c59f0ce7d001e017643d8d24da587ea1f74f6993467d85ae8a5ef9d4f42b", size = 2135615 },
|
||||
{ url = "https://files.pythonhosted.org/packages/99/0a/99a53d06dd0348b2008f2f30884b34719c323f16c3be4e6cc1203b74a91d/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:16f80f7abe3351f8ea6858914ddc8c77e02578544a0ebc15b4c2e1a0e813b0b2", size = 2175369 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6d/94/30ca3b73c6d485b9bb0bc66e611cff4a7138ff9736b7e66bcf0852151636/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:33cb885e759a705b426baada1fe68cbb0a2e68e34c5d0d0289a364cf01709093", size = 2144218 },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/57/31b4f8e12680b739a91f472b5671294236b82586889ef764b5fbc6669238/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:c8d8b4eb992936023be7dee581270af5c6e0697a8559895f527f5b7105ecd36a", size = 2329951 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7d/73/3c2c8edef77b8f7310e6fb012dbc4b8551386ed575b9eb6fb2506e28a7eb/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:242a206cd0318f95cd21bdacff3fcc3aab23e79bba5cac3db5a841c9ef9c6963", size = 2318428 },
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/02/8559b1f26ee0d502c74f9cca5c0d2fd97e967e083e006bbbb4e97f3a043a/pydantic_core-2.41.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d3a978c4f57a597908b7e697229d996d77a6d3c94901e9edee593adada95ce1a", size = 2147009 },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/9b/1b3f0e9f9305839d7e84912f9e8bfbd191ed1b1ef48083609f0dabde978c/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2379fa7ed44ddecb5bfe4e48577d752db9fc10be00a6b7446e9663ba143de26", size = 2101980 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/ed/d71fefcb4263df0da6a85b5d8a7508360f2f2e9b3bf5814be9c8bccdccc1/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:266fb4cbf5e3cbd0b53669a6d1b039c45e3ce651fd5442eff4d07c2cc8d66808", size = 1923865 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/3a/626b38db460d675f873e4444b4bb030453bbe7b4ba55df821d026a0493c4/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58133647260ea01e4d0500089a8c4f07bd7aa6ce109682b1426394988d8aaacc", size = 2134256 },
|
||||
{ url = "https://files.pythonhosted.org/packages/83/d9/8412d7f06f616bbc053d30cb4e5f76786af3221462ad5eee1f202021eb4e/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:287dad91cfb551c363dc62899a80e9e14da1f0e2b6ebde82c806612ca2a13ef1", size = 2174762 },
|
||||
{ url = "https://files.pythonhosted.org/packages/55/4c/162d906b8e3ba3a99354e20faa1b49a85206c47de97a639510a0e673f5da/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:03b77d184b9eb40240ae9fd676ca364ce1085f203e1b1256f8ab9984dca80a84", size = 2143141 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/f2/f11dd73284122713f5f89fc940f370d035fa8e1e078d446b3313955157fe/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:a668ce24de96165bb239160b3d854943128f4334822900534f2fe947930e5770", size = 2330317 },
|
||||
{ url = "https://files.pythonhosted.org/packages/88/9d/b06ca6acfe4abb296110fb1273a4d848a0bfb2ff65f3ee92127b3244e16b/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f14f8f046c14563f8eb3f45f499cc658ab8d10072961e07225e507adb700e93f", size = 2316992 },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/c7/cfc8e811f061c841d7990b0201912c3556bfeb99cdcb7ed24adc8d6f8704/pydantic_core-2.41.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:56121965f7a4dc965bff783d70b907ddf3d57f6eba29b6d2e5dabfaf07799c51", size = 2145302 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c6/90/32c9941e728d564b411d574d8ee0cf09b12ec978cb22b294995bae5549a5/pydantic_core-2.41.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:77b63866ca88d804225eaa4af3e664c5faf3568cea95360d21f4725ab6e07146", size = 2107298, upload-time = "2025-11-04T13:39:04.116Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/a8/61c96a77fe28993d9a6fb0f4127e05430a267b235a124545d79fea46dd65/pydantic_core-2.41.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dfa8a0c812ac681395907e71e1274819dec685fec28273a28905df579ef137e2", size = 1901475, upload-time = "2025-11-04T13:39:06.055Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5d/b6/338abf60225acc18cdc08b4faef592d0310923d19a87fba1faf05af5346e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5921a4d3ca3aee735d9fd163808f5e8dd6c6972101e4adbda9a4667908849b97", size = 1918815, upload-time = "2025-11-04T13:39:10.41Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/1c/2ed0433e682983d8e8cba9c8d8ef274d4791ec6a6f24c58935b90e780e0a/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25c479382d26a2a41b7ebea1043564a937db462816ea07afa8a44c0866d52f9", size = 2065567, upload-time = "2025-11-04T13:39:12.244Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b3/24/cf84974ee7d6eae06b9e63289b7b8f6549d416b5c199ca2d7ce13bbcf619/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f547144f2966e1e16ae626d8ce72b4cfa0caedc7fa28052001c94fb2fcaa1c52", size = 2230442, upload-time = "2025-11-04T13:39:13.962Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/21/4e287865504b3edc0136c89c9c09431be326168b1eb7841911cbc877a995/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f52298fbd394f9ed112d56f3d11aabd0d5bd27beb3084cc3d8ad069483b8941", size = 2350956, upload-time = "2025-11-04T13:39:15.889Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/76/7727ef2ffa4b62fcab916686a68a0426b9b790139720e1934e8ba797e238/pydantic_core-2.41.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:100baa204bb412b74fe285fb0f3a385256dad1d1879f0a5cb1499ed2e83d132a", size = 2068253, upload-time = "2025-11-04T13:39:17.403Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/8c/a4abfc79604bcb4c748e18975c44f94f756f08fb04218d5cb87eb0d3a63e/pydantic_core-2.41.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:05a2c8852530ad2812cb7914dc61a1125dc4e06252ee98e5638a12da6cc6fb6c", size = 2177050, upload-time = "2025-11-04T13:39:19.351Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/67/b1/de2e9a9a79b480f9cb0b6e8b6ba4c50b18d4e89852426364c66aa82bb7b3/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:29452c56df2ed968d18d7e21f4ab0ac55e71dc59524872f6fc57dcf4a3249ed2", size = 2147178, upload-time = "2025-11-04T13:39:21Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/c1/dfb33f837a47b20417500efaa0378adc6635b3c79e8369ff7a03c494b4ac/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:d5160812ea7a8a2ffbe233d8da666880cad0cbaf5d4de74ae15c313213d62556", size = 2341833, upload-time = "2025-11-04T13:39:22.606Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/47/36/00f398642a0f4b815a9a558c4f1dca1b4020a7d49562807d7bc9ff279a6c/pydantic_core-2.41.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:df3959765b553b9440adfd3c795617c352154e497a4eaf3752555cfb5da8fc49", size = 2321156, upload-time = "2025-11-04T13:39:25.843Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7e/70/cad3acd89fde2010807354d978725ae111ddf6d0ea46d1ea1775b5c1bd0c/pydantic_core-2.41.5-cp310-cp310-win32.whl", hash = "sha256:1f8d33a7f4d5a7889e60dc39856d76d09333d8a6ed0f5f1190635cbec70ec4ba", size = 1989378, upload-time = "2025-11-04T13:39:27.92Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/76/92/d338652464c6c367e5608e4488201702cd1cbb0f33f7b6a85a60fe5f3720/pydantic_core-2.41.5-cp310-cp310-win_amd64.whl", hash = "sha256:62de39db01b8d593e45871af2af9e497295db8d73b085f6bfd0b18c83c70a8f9", size = 2013622, upload-time = "2025-11-04T13:39:29.848Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e8/72/74a989dd9f2084b3d9530b0915fdda64ac48831c30dbf7c72a41a5232db8/pydantic_core-2.41.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a3a52f6156e73e7ccb0f8cced536adccb7042be67cb45f9562e12b319c119da6", size = 2105873, upload-time = "2025-11-04T13:39:31.373Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/12/44/37e403fd9455708b3b942949e1d7febc02167662bf1a7da5b78ee1ea2842/pydantic_core-2.41.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7f3bf998340c6d4b0c9a2f02d6a400e51f123b59565d74dc60d252ce888c260b", size = 1899826, upload-time = "2025-11-04T13:39:32.897Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/33/7f/1d5cab3ccf44c1935a359d51a8a2a9e1a654b744b5e7f80d41b88d501eec/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:378bec5c66998815d224c9ca994f1e14c0c21cb95d2f52b6021cc0b2a58f2a5a", size = 1917869, upload-time = "2025-11-04T13:39:34.469Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/6a/30d94a9674a7fe4f4744052ed6c5e083424510be1e93da5bc47569d11810/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e7b576130c69225432866fe2f4a469a85a54ade141d96fd396dffcf607b558f8", size = 2063890, upload-time = "2025-11-04T13:39:36.053Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/50/be/76e5d46203fcb2750e542f32e6c371ffa9b8ad17364cf94bb0818dbfb50c/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6cb58b9c66f7e4179a2d5e0f849c48eff5c1fca560994d6eb6543abf955a149e", size = 2229740, upload-time = "2025-11-04T13:39:37.753Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/ee/fed784df0144793489f87db310a6bbf8118d7b630ed07aa180d6067e653a/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:88942d3a3dff3afc8288c21e565e476fc278902ae4d6d134f1eeda118cc830b1", size = 2350021, upload-time = "2025-11-04T13:39:40.94Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/be/8fed28dd0a180dca19e72c233cbf58efa36df055e5b9d90d64fd1740b828/pydantic_core-2.41.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f31d95a179f8d64d90f6831d71fa93290893a33148d890ba15de25642c5d075b", size = 2066378, upload-time = "2025-11-04T13:39:42.523Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/3b/698cf8ae1d536a010e05121b4958b1257f0b5522085e335360e53a6b1c8b/pydantic_core-2.41.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c1df3d34aced70add6f867a8cf413e299177e0c22660cc767218373d0779487b", size = 2175761, upload-time = "2025-11-04T13:39:44.553Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b8/ba/15d537423939553116dea94ce02f9c31be0fa9d0b806d427e0308ec17145/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4009935984bd36bd2c774e13f9a09563ce8de4abaa7226f5108262fa3e637284", size = 2146303, upload-time = "2025-11-04T13:39:46.238Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/58/7f/0de669bf37d206723795f9c90c82966726a2ab06c336deba4735b55af431/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:34a64bc3441dc1213096a20fe27e8e128bd3ff89921706e83c0b1ac971276594", size = 2340355, upload-time = "2025-11-04T13:39:48.002Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e5/de/e7482c435b83d7e3c3ee5ee4451f6e8973cff0eb6007d2872ce6383f6398/pydantic_core-2.41.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c9e19dd6e28fdcaa5a1de679aec4141f691023916427ef9bae8584f9c2fb3b0e", size = 2319875, upload-time = "2025-11-04T13:39:49.705Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/e6/8c9e81bb6dd7560e33b9053351c29f30c8194b72f2d6932888581f503482/pydantic_core-2.41.5-cp311-cp311-win32.whl", hash = "sha256:2c010c6ded393148374c0f6f0bf89d206bf3217f201faa0635dcd56bd1520f6b", size = 1987549, upload-time = "2025-11-04T13:39:51.842Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/66/f14d1d978ea94d1bc21fc98fcf570f9542fe55bfcc40269d4e1a21c19bf7/pydantic_core-2.41.5-cp311-cp311-win_amd64.whl", hash = "sha256:76ee27c6e9c7f16f47db7a94157112a2f3a00e958bc626e2f4ee8bec5c328fbe", size = 2011305, upload-time = "2025-11-04T13:39:53.485Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/56/d8/0e271434e8efd03186c5386671328154ee349ff0354d83c74f5caaf096ed/pydantic_core-2.41.5-cp311-cp311-win_arm64.whl", hash = "sha256:4bc36bbc0b7584de96561184ad7f012478987882ebf9f9c389b23f432ea3d90f", size = 1972902, upload-time = "2025-11-04T13:39:56.488Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/5d/5f6c63eebb5afee93bcaae4ce9a898f3373ca23df3ccaef086d0233a35a7/pydantic_core-2.41.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f41a7489d32336dbf2199c8c0a215390a751c5b014c2c1c5366e817202e9cdf7", size = 2110990, upload-time = "2025-11-04T13:39:58.079Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/32/9c2e8ccb57c01111e0fd091f236c7b371c1bccea0fa85247ac55b1e2b6b6/pydantic_core-2.41.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:070259a8818988b9a84a449a2a7337c7f430a22acc0859c6b110aa7212a6d9c0", size = 1896003, upload-time = "2025-11-04T13:39:59.956Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/68/b8/a01b53cb0e59139fbc9e4fda3e9724ede8de279097179be4ff31f1abb65a/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e96cea19e34778f8d59fe40775a7a574d95816eb150850a85a7a4c8f4b94ac69", size = 1919200, upload-time = "2025-11-04T13:40:02.241Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/38/de/8c36b5198a29bdaade07b5985e80a233a5ac27137846f3bc2d3b40a47360/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed2e99c456e3fadd05c991f8f437ef902e00eedf34320ba2b0842bd1c3ca3a75", size = 2052578, upload-time = "2025-11-04T13:40:04.401Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/00/b5/0e8e4b5b081eac6cb3dbb7e60a65907549a1ce035a724368c330112adfdd/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65840751b72fbfd82c3c640cff9284545342a4f1eb1586ad0636955b261b0b05", size = 2208504, upload-time = "2025-11-04T13:40:06.072Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/77/56/87a61aad59c7c5b9dc8caad5a41a5545cba3810c3e828708b3d7404f6cef/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e536c98a7626a98feb2d3eaf75944ef6f3dbee447e1f841eae16f2f0a72d8ddc", size = 2335816, upload-time = "2025-11-04T13:40:07.835Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0d/76/941cc9f73529988688a665a5c0ecff1112b3d95ab48f81db5f7606f522d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eceb81a8d74f9267ef4081e246ffd6d129da5d87e37a77c9bde550cb04870c1c", size = 2075366, upload-time = "2025-11-04T13:40:09.804Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/43/ebef01f69baa07a482844faaa0a591bad1ef129253ffd0cdaa9d8a7f72d3/pydantic_core-2.41.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d38548150c39b74aeeb0ce8ee1d8e82696f4a4e16ddc6de7b1d8823f7de4b9b5", size = 2171698, upload-time = "2025-11-04T13:40:12.004Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/87/41f3202e4193e3bacfc2c065fab7706ebe81af46a83d3e27605029c1f5a6/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c23e27686783f60290e36827f9c626e63154b82b116d7fe9adba1fda36da706c", size = 2132603, upload-time = "2025-11-04T13:40:13.868Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/7d/4c00df99cb12070b6bccdef4a195255e6020a550d572768d92cc54dba91a/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:482c982f814460eabe1d3bb0adfdc583387bd4691ef00b90575ca0d2b6fe2294", size = 2329591, upload-time = "2025-11-04T13:40:15.672Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/6a/ebf4b1d65d458f3cda6a7335d141305dfa19bdc61140a884d165a8a1bbc7/pydantic_core-2.41.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:bfea2a5f0b4d8d43adf9d7b8bf019fb46fdd10a2e5cde477fbcb9d1fa08c68e1", size = 2319068, upload-time = "2025-11-04T13:40:17.532Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/3b/774f2b5cd4192d5ab75870ce4381fd89cf218af999515baf07e7206753f0/pydantic_core-2.41.5-cp312-cp312-win32.whl", hash = "sha256:b74557b16e390ec12dca509bce9264c3bbd128f8a2c376eaa68003d7f327276d", size = 1985908, upload-time = "2025-11-04T13:40:19.309Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/45/00173a033c801cacf67c190fef088789394feaf88a98a7035b0e40d53dc9/pydantic_core-2.41.5-cp312-cp312-win_amd64.whl", hash = "sha256:1962293292865bca8e54702b08a4f26da73adc83dd1fcf26fbc875b35d81c815", size = 2020145, upload-time = "2025-11-04T13:40:21.548Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f9/22/91fbc821fa6d261b376a3f73809f907cec5ca6025642c463d3488aad22fb/pydantic_core-2.41.5-cp312-cp312-win_arm64.whl", hash = "sha256:1746d4a3d9a794cacae06a5eaaccb4b8643a131d45fbc9af23e353dc0a5ba5c3", size = 1976179, upload-time = "2025-11-04T13:40:23.393Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/06/8806241ff1f70d9939f9af039c6c35f2360cf16e93c2ca76f184e76b1564/pydantic_core-2.41.5-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:941103c9be18ac8daf7b7adca8228f8ed6bb7a1849020f643b3a14d15b1924d9", size = 2120403, upload-time = "2025-11-04T13:40:25.248Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/94/02/abfa0e0bda67faa65fef1c84971c7e45928e108fe24333c81f3bfe35d5f5/pydantic_core-2.41.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:112e305c3314f40c93998e567879e887a3160bb8689ef3d2c04b6cc62c33ac34", size = 1896206, upload-time = "2025-11-04T13:40:27.099Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/df/a4c740c0943e93e6500f9eb23f4ca7ec9bf71b19e608ae5b579678c8d02f/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cbaad15cb0c90aa221d43c00e77bb33c93e8d36e0bf74760cd00e732d10a6a0", size = 1919307, upload-time = "2025-11-04T13:40:29.806Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9a/e3/6324802931ae1d123528988e0e86587c2072ac2e5394b4bc2bc34b61ff6e/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:03ca43e12fab6023fc79d28ca6b39b05f794ad08ec2feccc59a339b02f2b3d33", size = 2063258, upload-time = "2025-11-04T13:40:33.544Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/d4/2230d7151d4957dd79c3044ea26346c148c98fbf0ee6ebd41056f2d62ab5/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc799088c08fa04e43144b164feb0c13f9a0bc40503f8df3e9fde58a3c0c101e", size = 2214917, upload-time = "2025-11-04T13:40:35.479Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e6/9f/eaac5df17a3672fef0081b6c1bb0b82b33ee89aa5cec0d7b05f52fd4a1fa/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:97aeba56665b4c3235a0e52b2c2f5ae9cd071b8a8310ad27bddb3f7fb30e9aa2", size = 2332186, upload-time = "2025-11-04T13:40:37.436Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cf/4e/35a80cae583a37cf15604b44240e45c05e04e86f9cfd766623149297e971/pydantic_core-2.41.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:406bf18d345822d6c21366031003612b9c77b3e29ffdb0f612367352aab7d586", size = 2073164, upload-time = "2025-11-04T13:40:40.289Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/e3/f6e262673c6140dd3305d144d032f7bd5f7497d3871c1428521f19f9efa2/pydantic_core-2.41.5-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b93590ae81f7010dbe380cdeab6f515902ebcbefe0b9327cc4804d74e93ae69d", size = 2179146, upload-time = "2025-11-04T13:40:42.809Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/75/c7/20bd7fc05f0c6ea2056a4565c6f36f8968c0924f19b7d97bbfea55780e73/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:01a3d0ab748ee531f4ea6c3e48ad9dac84ddba4b0d82291f87248f2f9de8d740", size = 2137788, upload-time = "2025-11-04T13:40:44.752Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3a/8d/34318ef985c45196e004bc46c6eab2eda437e744c124ef0dbe1ff2c9d06b/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:6561e94ba9dacc9c61bce40e2d6bdc3bfaa0259d3ff36ace3b1e6901936d2e3e", size = 2340133, upload-time = "2025-11-04T13:40:46.66Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9c/59/013626bf8c78a5a5d9350d12e7697d3d4de951a75565496abd40ccd46bee/pydantic_core-2.41.5-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:915c3d10f81bec3a74fbd4faebe8391013ba61e5a1a8d48c4455b923bdda7858", size = 2324852, upload-time = "2025-11-04T13:40:48.575Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/d9/c248c103856f807ef70c18a4f986693a46a8ffe1602e5d361485da502d20/pydantic_core-2.41.5-cp313-cp313-win32.whl", hash = "sha256:650ae77860b45cfa6e2cdafc42618ceafab3a2d9a3811fcfbd3bbf8ac3c40d36", size = 1994679, upload-time = "2025-11-04T13:40:50.619Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9e/8b/341991b158ddab181cff136acd2552c9f35bd30380422a639c0671e99a91/pydantic_core-2.41.5-cp313-cp313-win_amd64.whl", hash = "sha256:79ec52ec461e99e13791ec6508c722742ad745571f234ea6255bed38c6480f11", size = 2019766, upload-time = "2025-11-04T13:40:52.631Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/73/7d/f2f9db34af103bea3e09735bb40b021788a5e834c81eedb541991badf8f5/pydantic_core-2.41.5-cp313-cp313-win_arm64.whl", hash = "sha256:3f84d5c1b4ab906093bdc1ff10484838aca54ef08de4afa9de0f5f14d69639cd", size = 1981005, upload-time = "2025-11-04T13:40:54.734Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ea/28/46b7c5c9635ae96ea0fbb779e271a38129df2550f763937659ee6c5dbc65/pydantic_core-2.41.5-cp314-cp314-macosx_10_12_x86_64.whl", hash = "sha256:3f37a19d7ebcdd20b96485056ba9e8b304e27d9904d233d7b1015db320e51f0a", size = 2119622, upload-time = "2025-11-04T13:40:56.68Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/1a/145646e5687e8d9a1e8d09acb278c8535ebe9e972e1f162ed338a622f193/pydantic_core-2.41.5-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:1d1d9764366c73f996edd17abb6d9d7649a7eb690006ab6adbda117717099b14", size = 1891725, upload-time = "2025-11-04T13:40:58.807Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/04/e89c29e267b8060b40dca97bfc64a19b2a3cf99018167ea1677d96368273/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e1c2af0fce638d5f1988b686f3b3ea8cd7de5f244ca147c777769e798a9cd1", size = 1915040, upload-time = "2025-11-04T13:41:00.853Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/84/a3/15a82ac7bd97992a82257f777b3583d3e84bdb06ba6858f745daa2ec8a85/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:506d766a8727beef16b7adaeb8ee6217c64fc813646b424d0804d67c16eddb66", size = 2063691, upload-time = "2025-11-04T13:41:03.504Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/74/9b/0046701313c6ef08c0c1cf0e028c67c770a4e1275ca73131563c5f2a310a/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4819fa52133c9aa3c387b3328f25c1facc356491e6135b459f1de698ff64d869", size = 2213897, upload-time = "2025-11-04T13:41:05.804Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/cd/6bac76ecd1b27e75a95ca3a9a559c643b3afcd2dd62086d4b7a32a18b169/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b761d210c9ea91feda40d25b4efe82a1707da2ef62901466a42492c028553a2", size = 2333302, upload-time = "2025-11-04T13:41:07.809Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/d2/ef2074dc020dd6e109611a8be4449b98cd25e1b9b8a303c2f0fca2f2bcf7/pydantic_core-2.41.5-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22f0fb8c1c583a3b6f24df2470833b40207e907b90c928cc8d3594b76f874375", size = 2064877, upload-time = "2025-11-04T13:41:09.827Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/66/e9db17a9a763d72f03de903883c057b2592c09509ccfe468187f2a2eef29/pydantic_core-2.41.5-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2782c870e99878c634505236d81e5443092fba820f0373997ff75f90f68cd553", size = 2180680, upload-time = "2025-11-04T13:41:12.379Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/9e/3ce66cebb929f3ced22be85d4c2399b8e85b622db77dad36b73c5387f8f8/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_aarch64.whl", hash = "sha256:0177272f88ab8312479336e1d777f6b124537d47f2123f89cb37e0accea97f90", size = 2138960, upload-time = "2025-11-04T13:41:14.627Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a6/62/205a998f4327d2079326b01abee48e502ea739d174f0a89295c481a2272e/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_armv7l.whl", hash = "sha256:63510af5e38f8955b8ee5687740d6ebf7c2a0886d15a6d65c32814613681bc07", size = 2339102, upload-time = "2025-11-04T13:41:16.868Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/0d/f05e79471e889d74d3d88f5bd20d0ed189ad94c2423d81ff8d0000aab4ff/pydantic_core-2.41.5-cp314-cp314-musllinux_1_1_x86_64.whl", hash = "sha256:e56ba91f47764cc14f1daacd723e3e82d1a89d783f0f5afe9c364b8bb491ccdb", size = 2326039, upload-time = "2025-11-04T13:41:18.934Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/e1/e08a6208bb100da7e0c4b288eed624a703f4d129bde2da475721a80cab32/pydantic_core-2.41.5-cp314-cp314-win32.whl", hash = "sha256:aec5cf2fd867b4ff45b9959f8b20ea3993fc93e63c7363fe6851424c8a7e7c23", size = 1995126, upload-time = "2025-11-04T13:41:21.418Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/48/5d/56ba7b24e9557f99c9237e29f5c09913c81eeb2f3217e40e922353668092/pydantic_core-2.41.5-cp314-cp314-win_amd64.whl", hash = "sha256:8e7c86f27c585ef37c35e56a96363ab8de4e549a95512445b85c96d3e2f7c1bf", size = 2015489, upload-time = "2025-11-04T13:41:24.076Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/bb/f7a190991ec9e3e0ba22e4993d8755bbc4a32925c0b5b42775c03e8148f9/pydantic_core-2.41.5-cp314-cp314-win_arm64.whl", hash = "sha256:e672ba74fbc2dc8eea59fb6d4aed6845e6905fc2a8afe93175d94a83ba2a01a0", size = 1977288, upload-time = "2025-11-04T13:41:26.33Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/92/ed/77542d0c51538e32e15afe7899d79efce4b81eee631d99850edc2f5e9349/pydantic_core-2.41.5-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:8566def80554c3faa0e65ac30ab0932b9e3a5cd7f8323764303d468e5c37595a", size = 2120255, upload-time = "2025-11-04T13:41:28.569Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/3d/6913dde84d5be21e284439676168b28d8bbba5600d838b9dca99de0fad71/pydantic_core-2.41.5-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:b80aa5095cd3109962a298ce14110ae16b8c1aece8b72f9dafe81cf597ad80b3", size = 1863760, upload-time = "2025-11-04T13:41:31.055Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/f0/e5e6b99d4191da102f2b0eb9687aaa7f5bea5d9964071a84effc3e40f997/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3006c3dd9ba34b0c094c544c6006cc79e87d8612999f1a5d43b769b89181f23c", size = 1878092, upload-time = "2025-11-04T13:41:33.21Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/71/48/36fb760642d568925953bcc8116455513d6e34c4beaa37544118c36aba6d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:72f6c8b11857a856bcfa48c86f5368439f74453563f951e473514579d44aa612", size = 2053385, upload-time = "2025-11-04T13:41:35.508Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/20/25/92dc684dd8eb75a234bc1c764b4210cf2646479d54b47bf46061657292a8/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5cb1b2f9742240e4bb26b652a5aeb840aa4b417c7748b6f8387927bc6e45e40d", size = 2218832, upload-time = "2025-11-04T13:41:37.732Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/09/f53e0b05023d3e30357d82eb35835d0f6340ca344720a4599cd663dca599/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bd3d54f38609ff308209bd43acea66061494157703364ae40c951f83ba99a1a9", size = 2327585, upload-time = "2025-11-04T13:41:40Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/4e/2ae1aa85d6af35a39b236b1b1641de73f5a6ac4d5a7509f77b814885760c/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ff4321e56e879ee8d2a879501c8e469414d948f4aba74a2d4593184eb326660", size = 2041078, upload-time = "2025-11-04T13:41:42.323Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/13/2e215f17f0ef326fc72afe94776edb77525142c693767fc347ed6288728d/pydantic_core-2.41.5-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d0d2568a8c11bf8225044aa94409e21da0cb09dcdafe9ecd10250b2baad531a9", size = 2173914, upload-time = "2025-11-04T13:41:45.221Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/02/7a/f999a6dcbcd0e5660bc348a3991c8915ce6599f4f2c6ac22f01d7a10816c/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_aarch64.whl", hash = "sha256:a39455728aabd58ceabb03c90e12f71fd30fa69615760a075b9fec596456ccc3", size = 2129560, upload-time = "2025-11-04T13:41:47.474Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3a/b1/6c990ac65e3b4c079a4fb9f5b05f5b013afa0f4ed6780a3dd236d2cbdc64/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_armv7l.whl", hash = "sha256:239edca560d05757817c13dc17c50766136d21f7cd0fac50295499ae24f90fdf", size = 2329244, upload-time = "2025-11-04T13:41:49.992Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/02/3c562f3a51afd4d88fff8dffb1771b30cfdfd79befd9883ee094f5b6c0d8/pydantic_core-2.41.5-cp314-cp314t-musllinux_1_1_x86_64.whl", hash = "sha256:2a5e06546e19f24c6a96a129142a75cee553cc018ffee48a460059b1185f4470", size = 2331955, upload-time = "2025-11-04T13:41:54.079Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5c/96/5fb7d8c3c17bc8c62fdb031c47d77a1af698f1d7a406b0f79aaa1338f9ad/pydantic_core-2.41.5-cp314-cp314t-win32.whl", hash = "sha256:b4ececa40ac28afa90871c2cc2b9ffd2ff0bf749380fbdf57d165fd23da353aa", size = 1988906, upload-time = "2025-11-04T13:41:56.606Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/22/ed/182129d83032702912c2e2d8bbe33c036f342cc735737064668585dac28f/pydantic_core-2.41.5-cp314-cp314t-win_amd64.whl", hash = "sha256:80aa89cad80b32a912a65332f64a4450ed00966111b6615ca6816153d3585a8c", size = 1981607, upload-time = "2025-11-04T13:41:58.889Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/ed/068e41660b832bb0b1aa5b58011dea2a3fe0ba7861ff38c4d4904c1c1a99/pydantic_core-2.41.5-cp314-cp314t-win_arm64.whl", hash = "sha256:35b44f37a3199f771c3eaa53051bc8a70cd7b54f333531c59e29fd4db5d15008", size = 1974769, upload-time = "2025-11-04T13:42:01.186Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/72/90fda5ee3b97e51c494938a4a44c3a35a9c96c19bba12372fb9c634d6f57/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_10_12_x86_64.whl", hash = "sha256:b96d5f26b05d03cc60f11a7761a5ded1741da411e7fe0909e27a5e6a0cb7b034", size = 2115441, upload-time = "2025-11-04T13:42:39.557Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/53/8942f884fa33f50794f119012dc6a1a02ac43a56407adaac20463df8e98f/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-macosx_11_0_arm64.whl", hash = "sha256:634e8609e89ceecea15e2d61bc9ac3718caaaa71963717bf3c8f38bfde64242c", size = 1930291, upload-time = "2025-11-04T13:42:42.169Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/79/c8/ecb9ed9cd942bce09fc888ee960b52654fbdbede4ba6c2d6e0d3b1d8b49c/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:93e8740d7503eb008aa2df04d3b9735f845d43ae845e6dcd2be0b55a2da43cd2", size = 1948632, upload-time = "2025-11-04T13:42:44.564Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/1b/687711069de7efa6af934e74f601e2a4307365e8fdc404703afc453eab26/pydantic_core-2.41.5-graalpy311-graalpy242_311_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15489ba13d61f670dcc96772e733aad1a6f9c429cc27574c6cdaed82d0146ad", size = 2138905, upload-time = "2025-11-04T13:42:47.156Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/09/32/59b0c7e63e277fa7911c2fc70ccfb45ce4b98991e7ef37110663437005af/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_10_12_x86_64.whl", hash = "sha256:7da7087d756b19037bc2c06edc6c170eeef3c3bafcb8f532ff17d64dc427adfd", size = 2110495, upload-time = "2025-11-04T13:42:49.689Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/81/05e400037eaf55ad400bcd318c05bb345b57e708887f07ddb2d20e3f0e98/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:aabf5777b5c8ca26f7824cb4a120a740c9588ed58df9b2d196ce92fba42ff8dc", size = 1915388, upload-time = "2025-11-04T13:42:52.215Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/0d/e3549b2399f71d56476b77dbf3cf8937cec5cd70536bdc0e374a421d0599/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c007fe8a43d43b3969e8469004e9845944f1a80e6acd47c150856bb87f230c56", size = 1942879, upload-time = "2025-11-04T13:42:56.483Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f7/07/34573da085946b6a313d7c42f82f16e8920bfd730665de2d11c0c37a74b5/pydantic_core-2.41.5-graalpy312-graalpy250_312_native-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76d0819de158cd855d1cbb8fcafdf6f5cf1eb8e470abe056d5d161106e38062b", size = 2139017, upload-time = "2025-11-04T13:42:59.471Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e6/b0/1a2aa41e3b5a4ba11420aba2d091b2d17959c8d1519ece3627c371951e73/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b5819cd790dbf0c5eb9f82c73c16b39a65dd6dd4d1439dcdea7816ec9adddab8", size = 2103351, upload-time = "2025-11-04T13:43:02.058Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/ee/31b1f0020baaf6d091c87900ae05c6aeae101fa4e188e1613c80e4f1ea31/pydantic_core-2.41.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5a4e67afbc95fa5c34cf27d9089bca7fcab4e51e57278d710320a70b956d1b9a", size = 1925363, upload-time = "2025-11-04T13:43:05.159Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/89/ab8e86208467e467a80deaca4e434adac37b10a9d134cd2f99b28a01e483/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ece5c59f0ce7d001e017643d8d24da587ea1f74f6993467d85ae8a5ef9d4f42b", size = 2135615, upload-time = "2025-11-04T13:43:08.116Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/99/0a/99a53d06dd0348b2008f2f30884b34719c323f16c3be4e6cc1203b74a91d/pydantic_core-2.41.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:16f80f7abe3351f8ea6858914ddc8c77e02578544a0ebc15b4c2e1a0e813b0b2", size = 2175369, upload-time = "2025-11-04T13:43:12.49Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6d/94/30ca3b73c6d485b9bb0bc66e611cff4a7138ff9736b7e66bcf0852151636/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:33cb885e759a705b426baada1fe68cbb0a2e68e34c5d0d0289a364cf01709093", size = 2144218, upload-time = "2025-11-04T13:43:15.431Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/57/31b4f8e12680b739a91f472b5671294236b82586889ef764b5fbc6669238/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:c8d8b4eb992936023be7dee581270af5c6e0697a8559895f527f5b7105ecd36a", size = 2329951, upload-time = "2025-11-04T13:43:18.062Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7d/73/3c2c8edef77b8f7310e6fb012dbc4b8551386ed575b9eb6fb2506e28a7eb/pydantic_core-2.41.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:242a206cd0318f95cd21bdacff3fcc3aab23e79bba5cac3db5a841c9ef9c6963", size = 2318428, upload-time = "2025-11-04T13:43:20.679Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/02/8559b1f26ee0d502c74f9cca5c0d2fd97e967e083e006bbbb4e97f3a043a/pydantic_core-2.41.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:d3a978c4f57a597908b7e697229d996d77a6d3c94901e9edee593adada95ce1a", size = 2147009, upload-time = "2025-11-04T13:43:23.286Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/9b/1b3f0e9f9305839d7e84912f9e8bfbd191ed1b1ef48083609f0dabde978c/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2379fa7ed44ddecb5bfe4e48577d752db9fc10be00a6b7446e9663ba143de26", size = 2101980, upload-time = "2025-11-04T13:43:25.97Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/ed/d71fefcb4263df0da6a85b5d8a7508360f2f2e9b3bf5814be9c8bccdccc1/pydantic_core-2.41.5-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:266fb4cbf5e3cbd0b53669a6d1b039c45e3ce651fd5442eff4d07c2cc8d66808", size = 1923865, upload-time = "2025-11-04T13:43:28.763Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/3a/626b38db460d675f873e4444b4bb030453bbe7b4ba55df821d026a0493c4/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58133647260ea01e4d0500089a8c4f07bd7aa6ce109682b1426394988d8aaacc", size = 2134256, upload-time = "2025-11-04T13:43:31.71Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/83/d9/8412d7f06f616bbc053d30cb4e5f76786af3221462ad5eee1f202021eb4e/pydantic_core-2.41.5-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:287dad91cfb551c363dc62899a80e9e14da1f0e2b6ebde82c806612ca2a13ef1", size = 2174762, upload-time = "2025-11-04T13:43:34.744Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/55/4c/162d906b8e3ba3a99354e20faa1b49a85206c47de97a639510a0e673f5da/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:03b77d184b9eb40240ae9fd676ca364ce1085f203e1b1256f8ab9984dca80a84", size = 2143141, upload-time = "2025-11-04T13:43:37.701Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/f2/f11dd73284122713f5f89fc940f370d035fa8e1e078d446b3313955157fe/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:a668ce24de96165bb239160b3d854943128f4334822900534f2fe947930e5770", size = 2330317, upload-time = "2025-11-04T13:43:40.406Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/88/9d/b06ca6acfe4abb296110fb1273a4d848a0bfb2ff65f3ee92127b3244e16b/pydantic_core-2.41.5-pp311-pypy311_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f14f8f046c14563f8eb3f45f499cc658ab8d10072961e07225e507adb700e93f", size = 2316992, upload-time = "2025-11-04T13:43:43.602Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/c7/cfc8e811f061c841d7990b0201912c3556bfeb99cdcb7ed24adc8d6f8704/pydantic_core-2.41.5-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:56121965f7a4dc965bff783d70b907ddf3d57f6eba29b6d2e5dabfaf07799c51", size = 2145302, upload-time = "2025-11-04T13:43:46.64Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sniffio"
|
||||
version = "1.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a2/87/a6771e1546d97e7e041b6ae58d80074f81b7d5121207425c964ddf5cfdbd/sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc", size = 20372 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a2/87/a6771e1546d97e7e041b6ae58d80074f81b7d5121207425c964ddf5cfdbd/sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc", size = 20372, upload-time = "2024-02-25T23:20:04.057Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235 },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -411,9 +412,9 @@ dependencies = [
|
|||
{ name = "anyio" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ba/b8/73a0e6a6e079a9d9cfa64113d771e421640b6f679a52eeb9b32f72d871a1/starlette-0.50.0.tar.gz", hash = "sha256:a2a17b22203254bcbc2e1f926d2d55f3f9497f769416b3190768befe598fa3ca", size = 2646985 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ba/b8/73a0e6a6e079a9d9cfa64113d771e421640b6f679a52eeb9b32f72d871a1/starlette-0.50.0.tar.gz", hash = "sha256:a2a17b22203254bcbc2e1f926d2d55f3f9497f769416b3190768befe598fa3ca", size = 2646985, upload-time = "2025-11-01T15:25:27.516Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/52/1064f510b141bd54025f9b55105e26d1fa970b9be67ad766380a3c9b74b0/starlette-0.50.0-py3-none-any.whl", hash = "sha256:9e5391843ec9b6e472eed1365a78c8098cfceb7a74bfd4d6b1c0c0095efb3bca", size = 74033 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d9/52/1064f510b141bd54025f9b55105e26d1fa970b9be67ad766380a3c9b74b0/starlette-0.50.0-py3-none-any.whl", hash = "sha256:9e5391843ec9b6e472eed1365a78c8098cfceb7a74bfd4d6b1c0c0095efb3bca", size = 74033, upload-time = "2025-11-01T15:25:25.461Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -421,11 +422,11 @@ name = "tqdm"
|
|||
version = "4.67.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737, upload-time = "2024-11-24T20:12:22.481Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540, upload-time = "2024-11-24T20:12:19.698Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -435,6 +436,7 @@ source = { editable = "." }
|
|||
dependencies = [
|
||||
{ name = "click" },
|
||||
{ name = "fastapi" },
|
||||
{ name = "httpx" },
|
||||
{ name = "openai" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "uvicorn" },
|
||||
|
|
@ -444,6 +446,7 @@ dependencies = [
|
|||
requires-dist = [
|
||||
{ name = "click", specifier = ">=8.2.1" },
|
||||
{ name = "fastapi", specifier = ">=0.104.1" },
|
||||
{ name = "httpx", specifier = ">=0.24.0" },
|
||||
{ name = "openai", specifier = ">=2.13.0" },
|
||||
{ name = "pydantic", specifier = ">=2.11.7" },
|
||||
{ name = "uvicorn", specifier = ">=0.24.0" },
|
||||
|
|
@ -453,9 +456,9 @@ requires-dist = [
|
|||
name = "typing-extensions"
|
||||
version = "4.15.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614 },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -465,9 +468,9 @@ source = { registry = "https://pypi.org/simple" }
|
|||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/55/e3/70399cb7dd41c10ac53367ae42139cf4b1ca5f36bb3dc6c9d33acdb43655/typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464", size = 75949 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/55/e3/70399cb7dd41c10ac53367ae42139cf4b1ca5f36bb3dc6c9d33acdb43655/typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464", size = 75949, upload-time = "2025-10-01T02:14:41.687Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611 },
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -479,7 +482,7 @@ dependencies = [
|
|||
{ name = "h11" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/cb/ce/f06b84e2697fef4688ca63bdb2fdf113ca0a3be33f94488f2cadb690b0cf/uvicorn-0.38.0.tar.gz", hash = "sha256:fd97093bdd120a2609fc0d3afe931d4d4ad688b6e75f0f929fde1bc36fe0e91d", size = 80605 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/cb/ce/f06b84e2697fef4688ca63bdb2fdf113ca0a3be33f94488f2cadb690b0cf/uvicorn-0.38.0.tar.gz", hash = "sha256:fd97093bdd120a2609fc0d3afe931d4d4ad688b6e75f0f929fde1bc36fe0e91d", size = 80605, upload-time = "2025-10-18T13:46:44.63Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ee/d9/d88e73ca598f4f6ff671fb5fde8a32925c2e08a637303a1d12883c7305fa/uvicorn-0.38.0-py3-none-any.whl", hash = "sha256:48c0afd214ceb59340075b4a052ea1ee91c16fbc2a9b1469cca0e54566977b02", size = 68109 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ee/d9/d88e73ca598f4f6ff671fb5fde8a32925c2e08a637303a1d12883c7305fa/uvicorn-0.38.0-py3-none-any.whl", hash = "sha256:48c0afd214ceb59340075b4a052ea1ee91c16fbc2a9b1469cca0e54566977b02", size = 68109, upload-time = "2025-10-18T13:46:42.958Z" },
|
||||
]
|
||||
|
|
|
|||
984
tests/e2e/poetry.lock
generated
984
tests/e2e/poetry.lock
generated
File diff suppressed because it is too large
Load diff
Loading…
Add table
Add a link
Reference in a new issue