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‎docker/Dockerfile

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@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
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# Install Python packages (using latest versions)
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RUN pip install --no-cache-dir \
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flask \
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"praisonai>=2.2.24" \
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"praisonai>=2.2.25" \
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"praisonai[api]" \
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gunicorn \
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markdown

‎docker/Dockerfile.chat

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@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
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# Install Python packages (using latest versions)
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RUN pip install --no-cache-dir \
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praisonai_tools \
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"praisonai>=2.2.24" \
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"praisonai>=2.2.25" \
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"praisonai[chat]" \
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"embedchain[github,youtube]"
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‎docker/Dockerfile.dev

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@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
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# Install Python packages (using latest versions)
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RUN pip install --no-cache-dir \
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praisonai_tools \
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"praisonai>=2.2.24" \
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"praisonai>=2.2.25" \
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"praisonai[ui]" \
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"praisonai[chat]" \
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"praisonai[realtime]" \

‎docker/Dockerfile.ui

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@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
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# Install Python packages (using latest versions)
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RUN pip install --no-cache-dir \
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praisonai_tools \
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"praisonai>=2.2.24" \
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"praisonai>=2.2.25" \
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"praisonai[ui]" \
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"praisonai[crewai]"
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‎docker/README.md

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@@ -121,7 +121,7 @@ healthcheck:
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## 📦 Package Versions
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All Docker images use consistent, up-to-date versions:
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- PraisonAI: `>=2.2.24`
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- PraisonAI: `>=2.2.25`
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- PraisonAI Agents: `>=0.0.92`
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- Python: `3.11-slim`
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@@ -218,7 +218,7 @@ docker-compose up -d
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### Version Pinning
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To use specific versions, update the Dockerfile:
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```dockerfile
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RUN pip install "praisonai==2.2.24" "praisonaiagents==0.0.92"
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RUN pip install "praisonai==2.2.25" "praisonaiagents==0.0.92"
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```
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## 🌐 Production Deployment

‎docs/api/praisonai/deploy.html

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@@ -110,7 +110,7 @@ <h2 id="raises">Raises</h2>
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file.write(&#34;FROM python:3.11-slim\n&#34;)
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file.write(&#34;WORKDIR /app\n&#34;)
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file.write(&#34;COPY . .\n&#34;)
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file.write(&#34;RUN pip install flask praisonai==2.2.24 gunicorn markdown\n&#34;)
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file.write(&#34;RUN pip install flask praisonai==2.2.25 gunicorn markdown\n&#34;)
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file.write(&#34;EXPOSE 8080\n&#34;)
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file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
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‎docs/developers/local-development.mdx

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COPY . .
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RUN pip install flask praisonai==2.2.24 watchdog
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RUN pip install flask praisonai==2.2.25 watchdog
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EXPOSE 5555
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‎docs/ui/chat.mdx

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@@ -155,7 +155,7 @@ To facilitate local development with live reload, you can use Docker. Follow the
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COPY . .
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RUN pip install flask praisonai==2.2.24 watchdog
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RUN pip install flask praisonai==2.2.25 watchdog
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EXPOSE 5555
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‎docs/ui/code.mdx

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@@ -208,7 +208,7 @@ To facilitate local development with live reload, you can use Docker. Follow the
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COPY . .
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RUN pip install flask praisonai==2.2.24 watchdog
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RUN pip install flask praisonai==2.2.25 watchdog
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EXPOSE 5555
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‎src/praisonai-agents/pyproject.toml

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[project]
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name = "praisonaiagents"
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version = "0.0.95"
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version = "0.0.96"
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description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
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requires-python = ">=3.10"
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authors = [

‎src/praisonai-agents/uv.lock

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‎src/praisonai/praisonai.rb

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desc "AI tools for various AI applications"
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homepage "https://github.com/MervinPraison/PraisonAI"
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url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.24.tar.gz"
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sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.24.tar.gz | shasum -a 256`.split.first
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url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.25.tar.gz"
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sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.25.tar.gz | shasum -a 256`.split.first
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license "MIT"
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depends_on "[email protected]"

‎src/praisonai/praisonai/deploy.py

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file.write("FROM python:3.11-slim\n")
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file.write("WORKDIR /app\n")
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file.write("COPY . .\n")
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file.write("RUN pip install flask praisonai==2.2.24 gunicorn markdown\n")
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file.write("RUN pip install flask praisonai==2.2.25 gunicorn markdown\n")
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file.write("EXPOSE 8080\n")
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file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
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‎src/praisonai/praisonai/ui/chat.py

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from dotenv import load_dotenv
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from PIL import Image
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from tavily import TavilyClient
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from crawl4ai import AsyncAsyncWebCrawler
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from crawl4ai import AsyncWebCrawler
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# Local application/library imports
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import chainlit as cl

‎src/praisonai/praisonai/ui/code.py

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from PIL import Image
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from context import ContextGatherer
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from tavily import TavilyClient
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from crawl4ai import AsyncAsyncWebCrawler
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from crawl4ai import AsyncWebCrawler
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# Local application/library imports
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import chainlit as cl

‎src/praisonai/praisonai/ui/realtime.py

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@cl.on_chat_start
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async def start():
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initialize_db()
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model_name = load_setting("model_name") or os.getenv("MODEL_NAME", "gpt-4o-mini-realtime-preview")
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model_name = os.getenv("MODEL_NAME", "gpt-4o-mini-realtime-preview-2024-12-17")
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cl.user_session.set("model_name", model_name)
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cl.user_session.set("message_history", []) # Initialize message history
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logger.debug(f"Model name: {model_name}")
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# TextInput(
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# id="model_name",
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# label="Enter the Model Name",
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# placeholder="e.g., gpt-4o-mini-realtime-preview",
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# placeholder="e.g., gpt-4o-mini-realtime-preview-2024-12-17",
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# initial=model_name
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# )
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# ]
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openai_realtime = cl.user_session.get("openai_realtime")
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if not openai_realtime.is_connected():
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await openai_realtime.connect()
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model_name = cl.user_session.get("model_name", "gpt-4o-mini-realtime-preview-2024-12-17")
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await openai_realtime.connect(model_name)
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logger.info("Connected to OpenAI realtime")
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return True
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@cl.on_audio_chunk
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async def on_audio_chunk(chunk: cl.InputAudioChunk):
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openai_realtime: RealtimeClient = cl.user_session.get("openai_realtime")
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openai_realtime: RealtimeClient = cl.user_session.get("openai_realtime")
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if not openai_realtime:
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logger.debug("No realtime client available")
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return
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if openai_realtime.is_connected():
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await openai_realtime.append_input_audio(chunk.data)
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try:
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success = await openai_realtime.append_input_audio(chunk.data)
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if not success:
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logger.debug("Failed to append audio data - connection may be lost")
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except Exception as e:
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logger.debug(f"Error processing audio chunk: {e}")
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# Optionally try to reconnect here if needed
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else:
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logger.info("RealtimeClient is not connected")
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logger.debug("RealtimeClient is not connected - audio chunk ignored")
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@cl.on_audio_end
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@cl.on_chat_end
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@cl.on_chat_resume
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async def on_chat_resume(thread: ThreadDict):
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logger.info(f"Resuming chat: {thread['id']}")
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model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini-realtime-preview"
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model_name = os.getenv("MODEL_NAME") or "gpt-4o-mini-realtime-preview-2024-12-17"
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logger.debug(f"Model name: {model_name}")
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settings = cl.ChatSettings(
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[
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TextInput(
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id="model_name",
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label="Enter the Model Name",
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placeholder="e.g., gpt-4o-mini-realtime-preview",
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placeholder="e.g., gpt-4o-mini-realtime-preview-2024-12-17",
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initial=model_name
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)
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]

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