Release v3.8.8

Author: MervinPraison

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>=3.8.7" \
+    "praisonai>=3.8.8" \
     "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>=3.8.7" \
+    "praisonai>=3.8.8" \
     "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>=3.8.7" \
+    "praisonai>=3.8.8" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

examples/cookbooks/yaml/secondary_market_research_agents.yaml

@@ -22,7 +22,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano"
+      model: "gpt-4o-mini"
       temperature: 0.3
     tools:
       - "InternetSearchTool"
@@ -76,7 +76,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano" 
+      model: "gpt-4o-mini" 
       temperature: 0.3
     tools:
       - "InternetSearchTool"
@@ -130,7 +130,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano"
+      model: "gpt-4o-mini"
       temperature: 0.3
     tools:
       - "InternetSearchTool"
@@ -185,7 +185,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano"
+      model: "gpt-4o-mini"
       temperature: 0.4
     tools:
       - "InternetSearchTool"
@@ -239,7 +239,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano"
+      model: "gpt-4o-mini"
       temperature: 0.3
     tools:
       - "InternetSearchTool"
@@ -299,7 +299,7 @@ agents:  # Canonical: use 'agents' instead of 'roles'
     verbose: true
     allow_delegation: false
     llm:
-      model: "gpt-5-nano"
+      model: "gpt-4o-mini"
       temperature: 0.3
     tasks:
       report_synthesis:

examples/python/agents/MULTI_PROVIDER_README.md

@@ -46,7 +46,7 @@ agent = RouterAgent(
     name="Smart Assistant",
     role="Adaptive AI Assistant",
     goal="Complete tasks using the most appropriate model",
-    models=["gpt-5-nano", "gpt-5-nano", "claude-3-5-sonnet-20241022"],
+    models=["gpt-4o-mini", "gpt-4o-mini", "claude-3-5-sonnet-20241022"],
     routing_strategy="auto"  # Automatic model selection
 )
 
@@ -90,7 +90,7 @@ analyzer = RouterAgent(
     goal="Analyze data efficiently",
     models={
         "gemini/gemini-1.5-flash": {},
-        "gpt-5-nano": {},
+        "gpt-4o-mini": {},
         "claude-3-haiku-20240307": {}
     },
     model_router=router,
@@ -207,7 +207,7 @@ for i, agent in enumerate(auto.agents):
         name=agent.name,
         role=agent.role,
         goal=agent.goal,
-        models=["gpt-5-nano", "gpt-5-nano", "claude-3-5-sonnet"],
+        models=["gpt-4o-mini", "gpt-4o-mini", "claude-3-5-sonnet"],
         routing_strategy="auto"
     )
 

examples/python/memory/gemini-embeddings.md

@@ -97,7 +97,7 @@ researcher = Agent(
     name="Researcher",
     role="Information Researcher",
     goal="Store information with semantic understanding",
-    llm="gpt-5-nano"
+    llm="gpt-4o-mini"
 )
 
 # Create task

examples/python/monitoring/README.md

@@ -17,7 +17,7 @@ def my_function():
 
 agent = Agent(
     instructions="You are a helpful assistant",
-    llm="gpt-5-nano"
+    llm="gpt-4o-mini"
 )
 
 with track_api_call("agent_request"):

examples/python/token-metrics/README.md

@@ -13,7 +13,7 @@ agent = Agent(
     role="Assistant", 
     goal="Help users",
     backstory="You are helpful.",
-    llm="gpt-5-nano",
+    llm="gpt-4o-mini",
     metrics=True  # 🎯 That's it!
 )
 

examples/python/usecases/README-secondary-market-research.md

@@ -177,7 +177,7 @@ Set your API keys:
 
 ```bash
 export OPENAI_API_KEY="your-api-key"
-export OPENAI_MODEL_NAME="gpt-5-nano"
+export OPENAI_MODEL_NAME="gpt-4o-mini"
 ```
 
 ## 📝 Customization

src/praisonai-agents/01_basic_agent_with_monitoring.py

@@ -38,7 +38,7 @@ def main():
     # Create agent
     agent = Agent(
         instructions="You are a helpful assistant that explains scientific concepts simply",
-        llm="gpt-5-nano"
+        llm="gpt-4o-mini"
     )
 
     # Track the API call performance