Develop

docker/Dockerfile

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

docker/Dockerfile.chat

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

docker/Dockerfile.dev

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

docker/Dockerfile.ui

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

docker/README.md

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

docs/api/praisonai/deploy.html

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

docs/developers/local-development.mdx

@@ -27,7 +27,7 @@ WORKDIR /app
 
 COPY . .
 
-RUN pip install flask praisonai==2.2.24 watchdog
+RUN pip install flask praisonai==2.2.25 watchdog
 
 EXPOSE 5555
 

docs/ui/chat.mdx

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

docs/ui/code.mdx

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

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.95"
+version = "0.0.96"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 requires-python = ">=3.10"
 authors = [

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
 
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.24.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.24.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.25.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.25.tar.gz | shasum -a 256`.split.first
     license "MIT"
 
     depends_on "python@3.11"

src/praisonai/praisonai/deploy.py

@@ -56,7 +56,7 @@ def create_dockerfile(self):
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.2.24 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.25 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
 

src/praisonai/praisonai/ui/chat.py

@@ -12,7 +12,7 @@
 from dotenv import load_dotenv
 from PIL import Image
 from tavily import TavilyClient
-from crawl4ai import AsyncAsyncWebCrawler
+from crawl4ai import AsyncWebCrawler
 
 # Local application/library imports
 import chainlit as cl

src/praisonai/praisonai/ui/code.py

@@ -12,7 +12,7 @@
 from PIL import Image
 from context import ContextGatherer
 from tavily import TavilyClient
-from crawl4ai import AsyncAsyncWebCrawler
+from crawl4ai import AsyncWebCrawler
 
 # Local application/library imports
 import chainlit as cl

src/praisonai/praisonai/ui/realtime.py

@@ -229,7 +229,7 @@ def import_tools_from_file(file_path):
 @cl.on_chat_start
 async def start():
     initialize_db()
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME", "gpt-4o-mini-realtime-preview")
+    model_name = os.getenv("MODEL_NAME", "gpt-4o-mini-realtime-preview-2024-12-17")
     cl.user_session.set("model_name", model_name)
     cl.user_session.set("message_history", [])  # Initialize message history
     logger.debug(f"Model name: {model_name}")
@@ -238,7 +238,7 @@ async def start():
     #         TextInput(
     #             id="model_name",
     #             label="Enter the Model Name",
-    #             placeholder="e.g., gpt-4o-mini-realtime-preview",
+    #             placeholder="e.g., gpt-4o-mini-realtime-preview-2024-12-17",
     #             initial=model_name
     #         )
     #     ]
@@ -382,7 +382,8 @@ async def on_audio_start():
             openai_realtime = cl.user_session.get("openai_realtime")
 
         if not openai_realtime.is_connected():
-            await openai_realtime.connect()
+            model_name = cl.user_session.get("model_name", "gpt-4o-mini-realtime-preview-2024-12-17")
+            await openai_realtime.connect(model_name)
 
         logger.info("Connected to OpenAI realtime")
         return True
@@ -394,11 +395,22 @@ async def on_audio_start():
 
 @cl.on_audio_chunk
 async def on_audio_chunk(chunk: cl.InputAudioChunk):
-    openai_realtime: RealtimeClient = cl.user_session.get("openai_realtime")            
+    openai_realtime: RealtimeClient = cl.user_session.get("openai_realtime")
+
+    if not openai_realtime:
+        logger.debug("No realtime client available")
+        return
+
     if openai_realtime.is_connected():
-        await openai_realtime.append_input_audio(chunk.data)
+        try:
+            success = await openai_realtime.append_input_audio(chunk.data)
+            if not success:
+                logger.debug("Failed to append audio data - connection may be lost")
+        except Exception as e:
+            logger.debug(f"Error processing audio chunk: {e}")
+            # Optionally try to reconnect here if needed
     else:
-        logger.info("RealtimeClient is not connected")
+        logger.debug("RealtimeClient is not connected - audio chunk ignored")
 
 @cl.on_audio_end
 @cl.on_chat_end
@@ -423,14 +435,14 @@ def auth_callback(username: str, password: str):
 @cl.on_chat_resume
 async def on_chat_resume(thread: ThreadDict):
     logger.info(f"Resuming chat: {thread['id']}")
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini-realtime-preview"
+    model_name = os.getenv("MODEL_NAME") or "gpt-4o-mini-realtime-preview-2024-12-17"
     logger.debug(f"Model name: {model_name}")
     settings = cl.ChatSettings(
         [
             TextInput(
                 id="model_name",
                 label="Enter the Model Name",
-                placeholder="e.g., gpt-4o-mini-realtime-preview",
+                placeholder="e.g., gpt-4o-mini-realtime-preview-2024-12-17",
                 initial=model_name
             )
         ]