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Browse files- __init__.py +1 -0
- main.py +214 -0
- requirements.txt +300 -0
__init__.py
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# Initialize app package
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main.py
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import asyncio
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import base64
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import json
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import os
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from pathlib import Path
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from typing import AsyncIterable
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from dotenv import load_dotenv
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from fastapi import FastAPI, Query, WebSocket
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from fastapi.responses import FileResponse
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from fastapi.staticfiles import StaticFiles
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from google.adk.agents import LiveRequestQueue
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from google.adk.agents.run_config import RunConfig
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from google.adk.events.event import Event
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from google.adk.runners import Runner
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from google.adk.sessions.in_memory_session_service import InMemorySessionService
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from google.genai import types
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from jarvis.utils import root_agent
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#
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# ADK Streaming
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#
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# Load Gemini API Key
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load_dotenv()
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APP_NAME = "ADK Streaming example"
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session_service = InMemorySessionService()
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def start_agent_session(session_id, is_audio=False):
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"""Starts an agent session"""
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# Create a Session
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session = session_service.create_session(
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app_name=APP_NAME,
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user_id=session_id,
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session_id=session_id,
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)
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# Create a Runner
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runner = Runner(
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app_name=APP_NAME,
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agent=root_agent,
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session_service=session_service,
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)
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# Set response modality
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modality = "AUDIO" if is_audio else "TEXT"
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# Create speech config with voice settings
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speech_config = types.SpeechConfig(
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voice_config=types.VoiceConfig(
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# Puck, Charon, Kore, Fenrir, Aoede, Leda, Orus, and Zephyr
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prebuilt_voice_config=types.PrebuiltVoiceConfig(voice_name="Puck")
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)
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)
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# Create run config with basic settings
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config = {"response_modalities": [modality], "speech_config": speech_config}
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# Add output_audio_transcription when audio is enabled to get both audio and text
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if is_audio:
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config["output_audio_transcription"] = {}
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run_config = RunConfig(**config)
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# Create a LiveRequestQueue for this session
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live_request_queue = LiveRequestQueue()
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# Start agent session
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live_events = runner.run_live(
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session=session,
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live_request_queue=live_request_queue,
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run_config=run_config,
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)
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return live_events, live_request_queue
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async def agent_to_client_messaging(
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websocket: WebSocket, live_events: AsyncIterable[Event | None]
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):
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"""Agent to client communication"""
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while True:
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async for event in live_events:
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if event is None:
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continue
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# If the turn complete or interrupted, send it
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if event.turn_complete or event.interrupted:
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message = {
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"turn_complete": event.turn_complete,
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"interrupted": event.interrupted,
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}
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await websocket.send_text(json.dumps(message))
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print(f"[AGENT TO CLIENT]: {message}")
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continue
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# Read the Content and its first Part
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part = event.content and event.content.parts and event.content.parts[0]
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if not part:
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continue
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# Make sure we have a valid Part
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if not isinstance(part, types.Part):
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continue
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# Only send text if it's a partial response (streaming)
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# Skip the final complete message to avoid duplication
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if part.text and event.partial:
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message = {
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"mime_type": "text/plain",
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"data": part.text,
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"role": "model",
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}
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await websocket.send_text(json.dumps(message))
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print(f"[AGENT TO CLIENT]: text/plain: {part.text}")
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# If it's audio, send Base64 encoded audio data
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is_audio = (
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part.inline_data
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and part.inline_data.mime_type
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and part.inline_data.mime_type.startswith("audio/pcm")
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)
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if is_audio:
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audio_data = part.inline_data and part.inline_data.data
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if audio_data:
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message = {
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"mime_type": "audio/pcm",
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"data": base64.b64encode(audio_data).decode("ascii"),
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"role": "model",
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}
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await websocket.send_text(json.dumps(message))
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print(f"[AGENT TO CLIENT]: audio/pcm: {len(audio_data)} bytes.")
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async def client_to_agent_messaging(
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websocket: WebSocket, live_request_queue: LiveRequestQueue
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):
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"""Client to agent communication"""
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while True:
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# Decode JSON message
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message_json = await websocket.receive_text()
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message = json.loads(message_json)
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mime_type = message["mime_type"]
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data = message["data"]
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role = message.get("role", "user") # Default to 'user' if role is not provided
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# Send the message to the agent
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if mime_type == "text/plain":
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# Send a text message
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content = types.Content(role=role, parts=[types.Part.from_text(text=data)])
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live_request_queue.send_content(content=content)
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print(f"[CLIENT TO AGENT PRINT]: {data}")
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elif mime_type == "audio/pcm":
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# Send audio data
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decoded_data = base64.b64decode(data)
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# Send the audio data - note that ActivityStart/End and transcription
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# handling is done automatically by the ADK when input_audio_transcription
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# is enabled in the config
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live_request_queue.send_realtime(
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types.Blob(data=decoded_data, mime_type=mime_type)
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)
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print(f"[CLIENT TO AGENT]: audio/pcm: {len(decoded_data)} bytes")
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else:
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raise ValueError(f"Mime type not supported: {mime_type}")
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#
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# FastAPI web app
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#
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app = FastAPI()
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STATIC_DIR = Path("static")
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app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
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| 179 |
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@app.get("/")
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| 182 |
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async def root():
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"""Serves the index.html"""
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return FileResponse(os.path.join(STATIC_DIR, "index.html"))
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@app.websocket("/ws/{session_id}")
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async def websocket_endpoint(
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websocket: WebSocket,
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| 190 |
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session_id: str,
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is_audio: str = Query(...),
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):
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"""Client websocket endpoint"""
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# Wait for client connection
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await websocket.accept()
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print(f"Client #{session_id} connected, audio mode: {is_audio}")
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| 198 |
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# Start agent session
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live_events, live_request_queue = start_agent_session(
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session_id, is_audio == "true"
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)
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# Start tasks
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agent_to_client_task = asyncio.create_task(
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agent_to_client_messaging(websocket, live_events)
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)
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client_to_agent_task = asyncio.create_task(
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client_to_agent_messaging(websocket, live_request_queue)
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)
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await asyncio.gather(agent_to_client_task, client_to_agent_task)
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# Disconnected
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print(f"Client #{session_id} disconnected")
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requirements.txt
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@@ -0,0 +1,300 @@
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|
|
| 1 |
+
aiofiles==24.1.0
|
| 2 |
+
aiohappyeyeballs==2.6.1
|
| 3 |
+
aiohttp==3.11.18
|
| 4 |
+
aiosignal==1.3.2
|
| 5 |
+
aiosqlite==0.21.0
|
| 6 |
+
altair==5.5.0
|
| 7 |
+
annotated-types==0.7.0
|
| 8 |
+
anyio==4.9.0
|
| 9 |
+
asgiref==3.8.1
|
| 10 |
+
#asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1733250440834/work
|
| 11 |
+
attrs==25.3.0
|
| 12 |
+
Authlib==1.5.2
|
| 13 |
+
backcall==0.2.0
|
| 14 |
+
backoff==2.2.1
|
| 15 |
+
bcrypt==4.3.0
|
| 16 |
+
beautifulsoup4==4.13.4
|
| 17 |
+
bleach==6.2.0
|
| 18 |
+
blinker==1.9.0
|
| 19 |
+
Brotli==1.1.0
|
| 20 |
+
build==1.2.2.post1
|
| 21 |
+
cachetools==5.5.2
|
| 22 |
+
certifi==2025.4.26
|
| 23 |
+
cffi==1.17.1
|
| 24 |
+
chardet==5.2.0
|
| 25 |
+
charset-normalizer==3.4.2
|
| 26 |
+
chromadb==1.0.12
|
| 27 |
+
click==8.2.0
|
| 28 |
+
colorama==0.4.6
|
| 29 |
+
coloredlogs==15.0.1
|
| 30 |
+
colorthief==0.2.1
|
| 31 |
+
#comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1733502965406/work
|
| 32 |
+
Crawl4AI==0.6.3
|
| 33 |
+
cryptography==44.0.3
|
| 34 |
+
cssselect==1.3.0
|
| 35 |
+
cssselect2==0.8.0
|
| 36 |
+
curl_cffi==0.11.1
|
| 37 |
+
dataclasses-json==0.6.7
|
| 38 |
+
#debugpy @ file:///home/conda/feedstock_root/build_artifacts/debugpy_1744321234906/work
|
| 39 |
+
#decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1740384970518/work
|
| 40 |
+
defusedxml==0.7.1
|
| 41 |
+
Deprecated==1.2.18
|
| 42 |
+
distro==1.9.0
|
| 43 |
+
docopt==0.6.2
|
| 44 |
+
docstring_parser==0.16
|
| 45 |
+
docx==0.2.4
|
| 46 |
+
docx2txt==0.9
|
| 47 |
+
dotenv==0.9.9
|
| 48 |
+
durationpy==0.10
|
| 49 |
+
#exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1746947292760/work
|
| 50 |
+
#executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1745502089858/work
|
| 51 |
+
fake-http-header==0.3.5
|
| 52 |
+
fake-useragent==2.2.0
|
| 53 |
+
fastapi==0.115.9
|
| 54 |
+
fastjsonschema==2.21.1
|
| 55 |
+
filelock==3.18.0
|
| 56 |
+
filetype==1.2.0
|
| 57 |
+
flatbuffers==25.2.10
|
| 58 |
+
fonttools==4.58.2
|
| 59 |
+
frozendict==2.4.6
|
| 60 |
+
frozenlist==1.6.0
|
| 61 |
+
fsspec==2025.5.1
|
| 62 |
+
gitdb==4.0.12
|
| 63 |
+
GitPython==3.1.44
|
| 64 |
+
google-adk==0.5.0
|
| 65 |
+
google-ai-generativelanguage==0.6.15
|
| 66 |
+
google-api-core==2.24.2
|
| 67 |
+
google-api-python-client==2.169.0
|
| 68 |
+
google-auth==2.40.1
|
| 69 |
+
google-auth-httplib2==0.2.0
|
| 70 |
+
google-cloud-aiplatform==1.92.0
|
| 71 |
+
google-cloud-bigquery==3.32.0
|
| 72 |
+
google-cloud-core==2.4.3
|
| 73 |
+
google-cloud-resource-manager==1.14.2
|
| 74 |
+
google-cloud-secret-manager==2.23.3
|
| 75 |
+
google-cloud-speech==2.32.0
|
| 76 |
+
google-cloud-storage==2.19.0
|
| 77 |
+
google-cloud-trace==1.16.1
|
| 78 |
+
google-crc32c==1.7.1
|
| 79 |
+
google-genai==1.15.0
|
| 80 |
+
google-generativeai==0.8.5
|
| 81 |
+
google-resumable-media==2.7.2
|
| 82 |
+
googleapis-common-protos==1.70.0
|
| 83 |
+
grandalf==0.8
|
| 84 |
+
graphviz==0.20.3
|
| 85 |
+
greenlet==3.2.2
|
| 86 |
+
groq==0.28.0
|
| 87 |
+
grpc-google-iam-v1==0.14.2
|
| 88 |
+
grpcio==1.71.0
|
| 89 |
+
grpcio-status==1.71.0
|
| 90 |
+
h11==0.16.0
|
| 91 |
+
httpcore==1.0.9
|
| 92 |
+
httplib2==0.22.0
|
| 93 |
+
httptools==0.6.4
|
| 94 |
+
httpx==0.28.1
|
| 95 |
+
httpx-sse==0.4.0
|
| 96 |
+
huggingface-hub==0.31.2
|
| 97 |
+
humanfriendly==10.0
|
| 98 |
+
humanize==4.12.3
|
| 99 |
+
idna==3.10
|
| 100 |
+
#importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1737420181517/work
|
| 101 |
+
importlib_resources==6.5.2
|
| 102 |
+
#ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1719845459717/work
|
| 103 |
+
ipython==8.12.3
|
| 104 |
+
#ipython_pygments_lexers @ file:///home/conda/feedstock_root/build_artifacts/ipython_pygments_lexers_1737123620466/work
|
| 105 |
+
#jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1733300866624/work
|
| 106 |
+
Jinja2==3.1.6
|
| 107 |
+
jiter==0.9.0
|
| 108 |
+
joblib==1.5.1
|
| 109 |
+
jsonpatch==1.33
|
| 110 |
+
jsonpointer==3.0.0
|
| 111 |
+
jsonschema==4.23.0
|
| 112 |
+
jsonschema-specifications==2025.4.1
|
| 113 |
+
#jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1733440914442/work
|
| 114 |
+
#jupyter_core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1727163409502/work
|
| 115 |
+
jupyterlab_pygments==0.3.0
|
| 116 |
+
kubernetes==33.1.0
|
| 117 |
+
langchain==0.3.25
|
| 118 |
+
langchain-chroma==0.2.4
|
| 119 |
+
langchain-community==0.3.25
|
| 120 |
+
langchain-core==0.3.65
|
| 121 |
+
langchain-google-genai==2.0.10
|
| 122 |
+
langchain-groq==0.3.2
|
| 123 |
+
langchain-huggingface==0.3.0
|
| 124 |
+
langchain-text-splitters==0.3.8
|
| 125 |
+
langgraph==0.4.8
|
| 126 |
+
langgraph-checkpoint==2.0.26
|
| 127 |
+
langgraph-cli==0.3.3
|
| 128 |
+
langgraph-prebuilt==0.2.2
|
| 129 |
+
langgraph-sdk==0.1.70
|
| 130 |
+
langsmith==0.3.45
|
| 131 |
+
litellm==1.69.3
|
| 132 |
+
lxml==5.4.0
|
| 133 |
+
markdown-it-py==3.0.0
|
| 134 |
+
MarkupSafe==3.0.2
|
| 135 |
+
marshmallow==3.26.1
|
| 136 |
+
matplotlib-#inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1733416936468/work
|
| 137 |
+
mcp==1.8.1
|
| 138 |
+
mdurl==0.1.2
|
| 139 |
+
mistune==3.1.3
|
| 140 |
+
mmh3==5.1.0
|
| 141 |
+
mpmath==1.3.0
|
| 142 |
+
multidict==6.4.3
|
| 143 |
+
multitasking==0.0.11
|
| 144 |
+
mypy_extensions==1.1.0
|
| 145 |
+
narwhals==1.41.0
|
| 146 |
+
nbclient==0.10.2
|
| 147 |
+
nbconvert==7.16.6
|
| 148 |
+
nbformat==5.10.4
|
| 149 |
+
#nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1733325553580/work
|
| 150 |
+
networkx==3.5
|
| 151 |
+
nltk==3.9.1
|
| 152 |
+
numpy==2.2.5
|
| 153 |
+
nvidia-cublas-cu12==12.6.4.1
|
| 154 |
+
nvidia-cuda-cupti-cu12==12.6.80
|
| 155 |
+
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 156 |
+
nvidia-cuda-runtime-cu12==12.6.77
|
| 157 |
+
nvidia-cudnn-cu12==9.5.1.17
|
| 158 |
+
nvidia-cufft-cu12==11.3.0.4
|
| 159 |
+
nvidia-cufile-cu12==1.11.1.6
|
| 160 |
+
nvidia-curand-cu12==10.3.7.77
|
| 161 |
+
nvidia-cusolver-cu12==11.7.1.2
|
| 162 |
+
nvidia-cusparse-cu12==12.5.4.2
|
| 163 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 164 |
+
nvidia-nccl-cu12==2.26.2
|
| 165 |
+
nvidia-nvjitlink-cu12==12.6.85
|
| 166 |
+
nvidia-nvtx-cu12==12.6.77
|
| 167 |
+
oauthlib==3.2.2
|
| 168 |
+
onnxruntime==1.22.0
|
| 169 |
+
openai==1.75.0
|
| 170 |
+
opentelemetry-api==1.33.0
|
| 171 |
+
opentelemetry-exporter-gcp-trace==1.9.0
|
| 172 |
+
opentelemetry-exporter-otlp-proto-common==1.33.0
|
| 173 |
+
opentelemetry-exporter-otlp-proto-grpc==1.33.0
|
| 174 |
+
opentelemetry-instrumentation==0.54b0
|
| 175 |
+
opentelemetry-instrumentation-asgi==0.54b0
|
| 176 |
+
opentelemetry-instrumentation-fastapi==0.54b0
|
| 177 |
+
opentelemetry-proto==1.33.0
|
| 178 |
+
opentelemetry-resourcedetector-gcp==1.9.0a0
|
| 179 |
+
opentelemetry-sdk==1.33.0
|
| 180 |
+
opentelemetry-semantic-conventions==0.54b0
|
| 181 |
+
opentelemetry-util-http==0.54b0
|
| 182 |
+
orjson==3.10.18
|
| 183 |
+
ormsgpack==1.10.0
|
| 184 |
+
overrides==7.7.0
|
| 185 |
+
packaging==24.2
|
| 186 |
+
pandas==2.2.3
|
| 187 |
+
pandocfilters==1.5.1
|
| 188 |
+
#parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1733271261340/work
|
| 189 |
+
pdf2image==1.17.0
|
| 190 |
+
pdfkit==1.0.0
|
| 191 |
+
peewee==3.18.1
|
| 192 |
+
#pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1733301927746/work
|
| 193 |
+
#pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1733327343728/work
|
| 194 |
+
pillow==10.4.0
|
| 195 |
+
pipreqs==0.4.13
|
| 196 |
+
#platformdirs @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_platformdirs_1746710438/work
|
| 197 |
+
playwright==1.52.0
|
| 198 |
+
posthog==4.10.0
|
| 199 |
+
#prompt_toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1744724089886/work
|
| 200 |
+
propcache==0.3.1
|
| 201 |
+
proto-plus==1.26.1
|
| 202 |
+
protobuf==5.29.4
|
| 203 |
+
#psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1740663131878/work
|
| 204 |
+
#ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1733302279685/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl#sha256=92c32ff62b5fd8cf325bec5ab90d7be3d2a8ca8c8a3813ff487a8d2002630d1f
|
| 205 |
+
#pure_eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1733569405015/work
|
| 206 |
+
pyarrow==20.0.0
|
| 207 |
+
pyasn1==0.6.1
|
| 208 |
+
pyasn1_modules==0.4.2
|
| 209 |
+
pycparser==2.22
|
| 210 |
+
pydantic==2.11.4
|
| 211 |
+
pydantic-settings==2.9.1
|
| 212 |
+
pydantic_core==2.33.2
|
| 213 |
+
pydeck==0.9.1
|
| 214 |
+
pydyf==0.11.0
|
| 215 |
+
pyee==13.0.0
|
| 216 |
+
#Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1736243443484/work
|
| 217 |
+
pyOpenSSL==25.1.0
|
| 218 |
+
pyparsing==3.2.3
|
| 219 |
+
pypdf==5.6.0
|
| 220 |
+
pyperclip==1.9.0
|
| 221 |
+
pyphen==0.17.2
|
| 222 |
+
PyPika==0.48.9
|
| 223 |
+
pyproject_hooks==1.2.0
|
| 224 |
+
python-#dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1733215673016/work
|
| 225 |
+
python-docx==1.2.0
|
| 226 |
+
python-dotenv==1.1.0
|
| 227 |
+
python-multipart==0.0.20
|
| 228 |
+
python-pptx==1.0.2
|
| 229 |
+
pytz==2025.2
|
| 230 |
+
PyYAML==6.0.2
|
| 231 |
+
#pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1743831247381/work
|
| 232 |
+
rank-bm25==0.2.2
|
| 233 |
+
referencing==0.36.2
|
| 234 |
+
regex==2024.11.6
|
| 235 |
+
requests==2.32.3
|
| 236 |
+
requests-oauthlib==2.0.0
|
| 237 |
+
requests-toolbelt==1.0.0
|
| 238 |
+
rich==14.0.0
|
| 239 |
+
rpds-py==0.25.0
|
| 240 |
+
rsa==4.9.1
|
| 241 |
+
safetensors==0.5.3
|
| 242 |
+
scikit-learn==1.7.0
|
| 243 |
+
scipy==1.15.3
|
| 244 |
+
sentence-transformers==4.1.0
|
| 245 |
+
setuptools==80.9.0
|
| 246 |
+
shapely==2.1.0
|
| 247 |
+
shellingham==1.5.4
|
| 248 |
+
#six @ file:///home/conda/feedstock_root/build_artifacts/six_1733380938961/work
|
| 249 |
+
smmap==5.0.2
|
| 250 |
+
sniffio==1.3.1
|
| 251 |
+
snowballstemmer==2.2.0
|
| 252 |
+
soupsieve==2.7
|
| 253 |
+
SQLAlchemy==2.0.41
|
| 254 |
+
sse-starlette==2.3.5
|
| 255 |
+
#stack_data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1733569443808/work
|
| 256 |
+
starlette==0.45.3
|
| 257 |
+
streamlit==1.45.1
|
| 258 |
+
sympy==1.14.0
|
| 259 |
+
tenacity==9.1.2
|
| 260 |
+
tf-playwright-stealth==1.1.2
|
| 261 |
+
threadpoolctl==3.6.0
|
| 262 |
+
tiktoken==0.9.0
|
| 263 |
+
tinycss2==1.4.0
|
| 264 |
+
tinyhtml5==2.0.0
|
| 265 |
+
tokenizers==0.21.1
|
| 266 |
+
toml==0.10.2
|
| 267 |
+
torch==2.7.1
|
| 268 |
+
#tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1747384461250/work
|
| 269 |
+
tqdm==4.67.1
|
| 270 |
+
#traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1733367359838/work
|
| 271 |
+
transformers==4.52.4
|
| 272 |
+
triton==3.3.1
|
| 273 |
+
typer==0.16.0
|
| 274 |
+
typing-inspect==0.9.0
|
| 275 |
+
typing-inspection==0.4.0
|
| 276 |
+
typing_extensions==4.14.0
|
| 277 |
+
tzdata==2025.2
|
| 278 |
+
tzlocal==5.3.1
|
| 279 |
+
uritemplate==4.1.1
|
| 280 |
+
urllib3==2.4.0
|
| 281 |
+
uv==0.7.3
|
| 282 |
+
uvicorn==0.34.2
|
| 283 |
+
uvloop==0.21.0
|
| 284 |
+
watchdog==6.0.0
|
| 285 |
+
watchfiles==1.1.0
|
| 286 |
+
#wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1733231326287/work
|
| 287 |
+
weasyprint==65.1
|
| 288 |
+
webencodings==0.5.1
|
| 289 |
+
websocket-client==1.8.0
|
| 290 |
+
websockets==15.0.1
|
| 291 |
+
wheel==0.45.1
|
| 292 |
+
wrapt==1.17.2
|
| 293 |
+
XlsxWriter==3.2.3
|
| 294 |
+
xxhash==3.5.0
|
| 295 |
+
yarg==0.1.9
|
| 296 |
+
yarl==1.20.0
|
| 297 |
+
yfinance==0.2.61
|
| 298 |
+
#zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1732827521216/work
|
| 299 |
+
zopfli==0.2.3.post1
|
| 300 |
+
zstandard==0.23.0
|