Langchain OpenAI Assistants API For Beginners ๐Ÿฆœ๏ธ๐Ÿ”— Function Calling made EASY! ๐Ÿคฏ (Full Tutorial)

Mervin Praison ยท Beginner ยท๐Ÿง  Large Language Models ยท2y ago

Key Takeaways

This video demonstrates how to integrate Langchain with the OpenAI Assistants API to create a simplified and powerful AI assistant, using function calling to combine multiple steps into one assistance API.

Full Transcript

this is amazing what if we can integrate Lang chain with your open AI assistance API to create assistance API we have four different steps but what if we can combine all together into one assistance API with the Lang chain and making it simplified that's exactly what we're going to see today let's get [Music] started hi everyone I'm really excited to show you about Lang chain with assistance AP I'm going to take you through step by step on how to do this but before that I regularly create videos in regards to artificial intelligence in my YouTube channel so do subscribe and stay tuned in Lang chain there are functions which simplifies our work of creating an assistant rather than creating an assistant then a thread then a message and then running it you can do all these things in one function to code that first make sure you install L chain and open AI in your virtual environment and click enter next export your open a API key like this and click enter now in your file from Lang chain. agents. open Assistant import open AI assistant runnable this is the function which can make our work easy now using that open AI assistant runnable I'm going to create an assistant name Lang chain instruction you are a personal math tutor and the tools we are using it code interpreter model is gp4 Turbo next output equals assistant. invoke there you ask your question content what's 10 - 4 raised to the 2.7 now we going to print the output by looping through the output now we're going to run this code in your terminal python assistance Lang chain. Pi that's where my code is and click enter now you got the answer here the result is approximately minus 32.2 Lang chain did all the hard work for us and gave us the answer in an easy way much more than that what if we can add our function calling ability here now we we're going to add function calling to this in your terminal pip install duck ducko hyphen search and click enter this duck. go search package will help us to search the internet so we're going to add browsing the internet facility using custom function calling in our assistant so first from Lang chain tools import Duck Duck Go search Run next we are defining the list of tools that is dugdug go search run then we are passing this tool to this list and we are mentioning that as agent equals true this does all the magic the agent feature in the assistant will be capable of handling all the requires action status if you see the original steps for adding a function calling ability you need to have all these five steps but the agent feature will solve that issue now instead of invoking we are importing from L chain agents import agent executor then agent executor equals agent executor and you're passing assistant as the agent and the list of tools next output equals agent executor do invoke previously we did assistant. invoke here we are doing agent executed. invoke and you are asking a question what's the weather in London today divided by 2.7 finally we are printing out the results now I'm going to run this code python assistance Lang chain. and click enter all the five steps will be happening behind the scenes now we got the answer here's the content what's the weather in London today divided by 2.7 the output the current weather in London is 6ยฐ and if it's for Celsius this is the output and if it's for fenit this is the output as simple as that you integrated all the five steps in literally two bits of code one you're creating assistant with as agent and then you're using agent executor as simple as that I'm going to create more videos in regards to this so stay tuned I hope you like this video do like share and subscribe and thanks for watching

Original Description

๐Ÿ‘‹ Hey AI Enthusiasts! In this video, I dive into the amazing world of integrating Lang Chain with the OpenAI Assistants API to create an incredibly simplified and powerful AI assistant. ChatGPT Tutorials Playlist: https://www.youtube.com/playlist?list=PLYQsp-tXX9w62Lgpvx2JMBvKAAi7rfb_t GPT-4 Assistants API + Python: https://www.youtube.com/watch?v=pZUDEQs89zc GPT-4 Assistants API +Node: https://www.youtube.com/watch?v=CPlwcY5mQ_4 ChatGPT Beginners Guide: https://www.youtube.com/watch?v=_E9rqrnPzWI GPT-4 Turbo: https://www.youtube.com/watch?v=Fo0KEPP7Nt4 GPT-4 Seed: https://www.youtube.com/watch?v=q5o8n1_jQb4 GPT-4 JSON: https://www.youtube.com/watch?v=9FZSA2UzXL0 ChatGPT Text to Speech API: https://www.youtube.com/watch?v=LWfE-j_V2J0 Dall-e 3 API: https://www.youtube.com/watch?v=eKCLFY5_NZI Whisper API: https://www.youtube.com/watch?v=B9AuQ3jpwrA GPT-4 Vision API Image: https://www.youtube.com/watch?v=xtdQb7-bv7E GPT-4 Vision API Video: https://www.youtube.com/watch?v=QyqnR3bBMDs Code: https://mer.vin/2023/11/langchain-assistants-api/ Here's what you'll learn: Integrating Lang Chain with OpenAI API: Discover how to combine multiple steps into a seamless process. Easy Setup: Learn to install necessary tools and export your API key. Creating AI Assistants Simplified: I'll show you how to use OpenAIAssistantRunnable for efficient assistant creation. Practical Examples: Witness the assistant in action with real-world queries. Advanced Features: Adding internet browsing abilities and simplifying complex tasks into a few lines of code. Stay tuned for more AI magic and remember to like, share, and subscribe for the latest in AI innovation! ๐Ÿ’ป๐ŸŒ 0:00 - Introduction to Lang Chain and OpenAI API Integration 0:24 - Getting Started with Lang Chain and OpenAI Assistant 0:54 - Installing Lang Chain and OpenAI in Virtual Environment 1:07 - Creating an AI Assistant with OpenAIAssistantRunnable 1:31 - Example: Math Tutor Assistant 2:02 - Adding Function Calling: DuckDuckGo
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This video teaches how to integrate Langchain with the OpenAI Assistants API to create a simplified AI assistant, using function calling to combine multiple steps into one assistance API. It covers the basics of Langchain and OpenAI API, and demonstrates how to use the agent feature to handle complex tasks.

Key Takeaways
  1. Install Langchain and OpenAI in a virtual environment
  2. Export OpenAI API key
  3. Import OpenAI assistant runnable from Langchain
  4. Create an assistant using the openAI assistant runnable
  5. Add function calling ability using DuckDuckGo Search
  6. Define a list of tools and pass it to the agent
  7. Use the agent executor to invoke the assistant
๐Ÿ’ก The agent feature in Langchain can simplify the process of creating an AI assistant by combining multiple steps into one assistance API, making it easier to handle complex tasks.
๐Ÿ”’ Pro feature: Ask AI to explain this lesson โ†’

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Chapters (6)

Introduction to Lang Chain and OpenAI API Integration
0:24 Getting Started with Lang Chain and OpenAI Assistant
0:54 Installing Lang Chain and OpenAI in Virtual Environment
1:07 Creating an AI Assistant with OpenAIAssistantRunnable
1:31 Example: Math Tutor Assistant
2:02 Adding Function Calling: DuckDuckGo
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
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