Uploaded October 2025 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Welcome to Episode 3 of the LangChain v1 Agents Series! In this episode, you'll learn how to create intelligent agents that automatically switch between models based on conversation complexity for optimal cost and performance.
What You'll Learn:
- Implementing dynamic model selection in LangChain agents
- Cost optimization strategies for production AI systems
- Switching between Qwen3 and GPT-OSS based on conversation length
- Creating smart selection logic using AgentState
- Real-world cost-saving techniques for AI applications
- Testing model switching with different conversation scenarios
Tech Stack:
- LangChain v1 (latest prerelease)
- LangGraph Runtime
- ChatOllama with multiple models
- Qwen 3 (efficient, fast model)
- GPT-OSS (advanced reasoning model)
- Custom web search and data analysis tools
- Python 3.x
Key Concepts:
- Model selection based on message count
- Cost vs performance trade-offs
- AgentState management
- Dynamic model binding with tools
- Automatic switching logic (less than 10 messages uses Qwen3, 10 or more switches to GPT-OSS)
Real-World Applications:
- Customer service chatbots (simple queries use cheaper models)
- Research assistants (escalate to better models for complex analysis)
- Content generation systems (optimize costs based on task complexity)
- Enterprise AI systems with budget constraints
Code Repository:
github.com/laxmimerit/Langchain-v1-Agents
Full Playlist
youtube.com/playlist?list=PLc2rvfiptPSR2fnZQLmq5TB36E0S0hdW4
Langchain v1 Projects Playlist
youtube.com/watch?v=xOE1yDFGePA&list=PLc2rvfiptPSQzrdPe5apNAq1bbBROUXKh&pp=0gcJCaIEOCosWNin
📚 Learn More with My Udemy Courses
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Welcome to Episode 3 of the LangChain v1 Agents Series! In this episode, you'll learn how to create intelligent agents that automatically switch between models based on conversation complexity for optimal cost and performance.
What You'll Learn:
- Implementing dynamic model selection in LangChain agents
- Cost optimization strategies for production AI systems
- Switching between Qwen3 and GPT-OSS based on conversation length
- Creating smart selection logic using AgentState
- Real-world cost-saving techniques for AI applications
- Testing model switching with different conversation scenarios
Tech Stack:
- LangChain v1 (latest prerelease)
- LangGraph Runtime
- ChatOllama with multiple models
- Qwen 3 (efficient, fast model)
- GPT-OSS (advanced reasoning model)
- Custom web search and data analysis tools
- Python 3.x
Key Concepts:
- Model selection based on message count
- Cost vs performance trade-offs
- AgentState management
- Dynamic model binding with tools
- Automatic switching logic (less than 10 messages uses Qwen3, 10 or more switches to GPT-OSS)
Real-World Applications:
- Customer service chatbots (simple queries use cheaper models)
- Research assistants (escalate to better models for complex analysis)
- Content generation systems (optimize costs based on task complexity)
- Enterprise AI systems with budget constraints
Code Repository:
github.com/laxmimerit/Langchain-v1-Agents
Full Playlist
youtube.com/playlist?list=PLc2rvfiptPSR2fnZQLmq5TB36E0S0hdW4
Langchain v1 Projects Playlist
youtube.com/watch?v=xOE1yDFGePA&list=PLc2rvfiptPSQzrdPe5apNAq1bbBROUXKh&pp=0gcJCaIEOCosWNin
📚 Learn More with My Udemy Courses
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689
🚀 Agentic RAG with LangChain & LangGraph
udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5
🧠 LangGraph with Ollama
udemy.com/course/langgraph-with-ollama/?referralCode=B646DCB44A189BEBC20C
⚡ Ollama and LangChain
udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
🔧 Fine-Tuning LLM with Hugging Face Transformers
udemy.com/course/fine-tuning-llm-with-hugging-face-transformers/?referralCode=6DEB3BE17C2644422D8E
📖 NLP with BERT in Python
udemy.com/course/nlp-with-bert-in-python/?referralCode=063516494616C76907CD
🌐 Connect with Me
Website & Blogs: kgptalkie.com
LinkedIn: linkedin.com/in/laxmimerit
GitHub: github.com/laxmimerit
Twitter (X): twitter.com/laxmimerit
📌 Support the Channel
👍 Like the video if it helps you
💬 Comment your doubts & feedback
🔔 Subscribe for free weekly AI & Data Science content
#DataScience #MachineLearning #LangChain #LangGraph #Ollama #Python #AI #DeepLearning #NLP #GenerativeAI #LLM #HuggingFace #BERT
