mirror of
https://github.com/katanemo/plano.git
synced 2026-07-23 16:51:04 +02:00
fix more
This commit is contained in:
Adil Hafeez
parent
32838584cf
commit
093834bb05
14 changed files with 623 additions and 48 deletions
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@ -24,6 +24,11 @@ listeners:
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- query_rewriter
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- context_builder
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- response_generator
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- name: research_agent
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description: deep research agent that can perform searches and gather information.
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filter_chain:
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- research_agent
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- response_generator
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port: 8001
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- name: egress_traffic
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@ -31,7 +36,7 @@ listeners:
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port: 12000
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protocol: openai
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llm_providers:
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- access_key: ${OPENAI_API_KEY}
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- access_key: $OPENAI_API_KEY
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model: openai/gpt-4o
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- access_key: ${OPENAI_API_KEY}
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- access_key: $OPENAI_API_KEY
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model: openai/gpt-4o-mini
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@ -18,12 +18,26 @@ mcp = None
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@click.option("--rest-port", "rest_port", default=8000, help="Port for REST server")
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def main(host, port, agent, transport, rest_server, rest_port):
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if rest_server:
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print(f"Starting REST server on {host}:{rest_port}")
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print(f"Starting REST server on {host}:{rest_port} for agent: {agent}")
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from rag_agent.query_parser import start_server
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if agent == "query_parser":
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from rag_agent.query_rewriter_agent import start_server
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start_server(host=host, port=rest_port)
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return
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start_server(host=host, port=rest_port)
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return
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elif agent == "content_builder":
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from rag_agent.content_builder_agent import start_server
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start_server(host=host, port=rest_port)
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return
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elif agent == "response_generator":
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from rag_agent.response_generator_agent import start_server
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start_server(host=host, port=rest_port)
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return
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else:
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print("Please specify an agent to start with --agent option.")
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return
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print(f"Starting agent(s): {agent if agent else 'all'}")
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global mcp
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@ -1,3 +1,4 @@
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import json
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from pydantic import BaseModel
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from typing import List, Optional, Dict, Any
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from fastapi import FastAPI, HTTPException
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@ -6,6 +7,7 @@ import os
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import logging
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import csv
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from pathlib import Path
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import uvicorn
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from .api import ChatMessage, ChatCompletionRequest, ChatCompletionResponse
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@ -37,6 +39,8 @@ def load_knowledge_base():
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current_dir = Path(__file__).parent
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csv_path = current_dir / "basis_of_truth.csv"
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print(f"Loading knowledge base from {csv_path}")
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try:
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knowledge_base = []
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with open(csv_path, "r", encoding="utf-8") as file:
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@ -174,7 +178,7 @@ app = FastAPI(title="RAG Content Builder Agent", version="1.0.0")
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@app.post("/v1/chat/completions")
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async def chat_completions(request: ChatCompletionRequest):
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async def chat_completions(request: ChatCompletionRequest) -> ChatCompletionResponse:
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"""Chat completions endpoint that augments user queries with relevant context from the knowledge base."""
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import time
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import uuid
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@ -185,6 +189,7 @@ async def chat_completions(request: ChatCompletionRequest):
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# Augment the user query with relevant context
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updated_messages = await augment_query_with_context(request.messages)
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messages_history_json = json.dumps([msg.dict() for msg in updated_messages])
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response = ChatCompletionResponse(
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id=f"chatcmpl-{uuid.uuid4().hex[:8]}",
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@ -193,10 +198,7 @@ async def chat_completions(request: ChatCompletionRequest):
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choices=[
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{
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"index": 0,
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"messages": [
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{"role": msg.role, "content": msg.content}
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for msg in updated_messages
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],
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"message": {"role": "user", "content": messages_history_json},
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"finish_reason": "stop",
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}
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],
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@ -214,10 +216,15 @@ async def chat_completions(request: ChatCompletionRequest):
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def main():
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"""Main function to initialize the knowledge base and start the server."""
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load_knowledge_base()
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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if __name__ == "__main__":
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main()
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def start_server(host: str = "localhost", port: int = 8000):
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"""Start the REST server."""
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load_knowledge_base()
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uvicorn.run(app, host=host, port=port)
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@ -1,9 +1,11 @@
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import json
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from pydantic import BaseModel
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from typing import List, Optional, Dict, Any
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from fastapi import FastAPI, HTTPException
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from openai import AsyncOpenAI
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import os
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import logging
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import uvicorn
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from .api import ChatMessage, ChatCompletionRequest, ChatCompletionResponse
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@ -104,6 +106,8 @@ async def chat_completions(request: ChatCompletionRequest):
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)
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break
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messages_history_json = json.dumps([msg.dict() for msg in updated_messages])
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response = ChatCompletionResponse(
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id=f"chatcmpl-{uuid.uuid4().hex[:8]}",
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created=int(time.time()),
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@ -111,10 +115,7 @@ async def chat_completions(request: ChatCompletionRequest):
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choices=[
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{
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"index": 0,
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"messages": [
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{"role": msg.role, "content": msg.content}
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for msg in updated_messages
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],
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"message": {"role": "user", "content": messages_history_json},
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"finish_reason": "stop",
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}
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],
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@ -138,3 +139,8 @@ async def health_check():
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def parse_query(query):
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"""Parse the user query and returns metadata extracted from query."""
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return Response(query=query, metadata={"is_valid": True})
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def start_server(host: str = "localhost", port: int = 8000):
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"""Start the REST server."""
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uvicorn.run(app, host=host, port=port)
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@ -1,9 +1,11 @@
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import json
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from fastapi import FastAPI
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from openai import AsyncOpenAI
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import os
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import logging
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import time
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import uuid
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import uvicorn
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from .api import ChatCompletionRequest, ChatCompletionResponse
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@ -64,6 +66,8 @@ async def chat_completions(request: ChatCompletionRequest):
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generated_response = response.choices[0].message.content.strip()
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logger.info(f"Response generated successfully")
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updated_history = [{"role": "assistant", "content": generated_response}]
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return ChatCompletionResponse(
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id=f"chatcmpl-{uuid.uuid4().hex[:8]}",
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created=int(time.time()),
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@ -71,7 +75,10 @@ async def chat_completions(request: ChatCompletionRequest):
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choices=[
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{
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"index": 0,
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"message": {"role": "assistant", "content": generated_response},
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"message": {
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"role": "assistant",
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"content": json.dumps(updated_history),
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},
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"finish_reason": "stop",
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}
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],
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@ -120,3 +127,8 @@ async def chat_completions(request: ChatCompletionRequest):
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async def health_check():
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"""Health check endpoint."""
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return {"status": "healthy"}
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def start_server(host: str = "localhost", port: int = 8000):
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"""Start the REST server."""
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uvicorn.run(app, host=host, port=port)
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114
demos/use_cases/rag_agent/uv.lock
generated
114
demos/use_cases/rag_agent/uv.lock
generated
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@ -260,6 +260,15 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/63/67/ac57fbef5414ce84fe0bdeb497918ab2c781ff2cbf23c1bd91334b225669/cyclopts-3.23.1-py3-none-any.whl", hash = "sha256:8e57c6ea47d72b4b565c6a6c8a9fd56ed048ab4316627991230f4ad24ce2bc29", size = 85222 },
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]
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[[package]]
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name = "distro"
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version = "1.9.0"
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722 }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277 },
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]
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[[package]]
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name = "dnspython"
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version = "2.7.0"
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@ -412,6 +421,78 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/15/aa/0aca39a37d3c7eb941ba736ede56d689e7be91cab5d9ca846bde3999eba6/isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15", size = 22320 },
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]
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[[package]]
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name = "jiter"
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version = "0.10.0"
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/ee/9d/ae7ddb4b8ab3fb1b51faf4deb36cb48a4fbbd7cb36bad6a5fca4741306f7/jiter-0.10.0.tar.gz", hash = "sha256:07a7142c38aacc85194391108dc91b5b57093c978a9932bd86a36862759d9500", size = 162759 }
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wheels = [
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|
||||
version = "4.15.0"
|
||||
|
|
|
|||
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Add table
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Reference in a new issue