Adding Custom Authentication to LangGraph
Skills:
LLM Engineering90%
Key Takeaways
Implements custom authentication and access control in LangGraph applications using token validation and OAuth2 integration
Original Description
Learn how to implement custom authentication and access control in LangGraph applications. This comprehensive guide shows you how to integrate your own auth provider and implement granular access patterns without a separate backend server.
We'll build a complete authentication system in three parts, covering everything from basic token validation to OAuth2 integration with Supabase. You'll learn how to use LangGraph's auth primitives to implement user-scoped conversations, role-based access control, and resource-level filtering.
⏰ Timestamps
-----------
00:00 Introduction & Overview
00:21 Project Setup & Initial Implementation
01:42 Authentication Basics
- Auth Object
- Request Validation
- User Context
03:24 Authorization & Resource Control
- Handler Implementation
- Metadata Filtering
- Access Patterns
06:09 Scoped Authorization
- Resource-Level Control
- Action-Specific Handlers
08:27 Production Integration
- Supabase Setup
- OAuth2 Flow
- Token Validation
11:39 Testing & Validation
12:36 Conclusion & Next Steps
🔗 Resources
-----------
📚 Authentication Tutorial Series:
Part 1: https://langchain-ai.github.io/langgraph/tutorials/auth/getting_started/
Part 2: https://langchain-ai.github.io/langgraph/tutorials/auth/resource_auth/
Part 3: https://langchain-ai.github.io/langgraph/tutorials/auth/add_auth_server/
📖 Conceptual Guide: https://langchain-ai.github.io/langgraph/concepts/auth/
💻 Full-Stack Template: https://github.com/langchain-ai/custom-auth
#LangGraph #Authentication #OAuth2 #AIEngineering #WebDevelopment
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from LangChain · LangChain · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Chat With Your Documents Using LangChain + JavaScript
LangChain
LangChain SQL Webinar
LangChain
LangChain "OpenAI functions" Webinar
LangChain
LangSmith Launch
LangChain
LangChain x Pinecone: Supercharging Llama-2 with RAG
LangChain
LangChain Expression Language
LangChain
Building LLM applications with LangChain with Lance
LangChain
Benchmarking Question/Answering Over CSV Data
LangChain
LangChain "RAG Evaluation" Webinar
LangChain
Fine-tuning in Your Voice Webinar
LangChain
Tabular Data Retrieval
LangChain
Building an LLM Application with Audio by AssemblyAI
LangChain
Superagent Deepdive Webinar
LangChain
Lessons from Deploying LLMs with LangSmith
LangChain
Shortwave Assistant Deepdive Webinar
LangChain
Cognitive Architectures for Language Agents
LangChain
Effectively Building with LLMs in the Browser with Jacob
LangChain
Data Privacy for LLMs
LangChain
"Theory of Mind" Webinar with Plastic Labs
LangChain
LangChain Templates
LangChain
Using Natural Language to Query Postgres with Jacob
LangChain
Building a Research Assistant from Scratch
LangChain
Benchmarking RAG over LangChain Docs
LangChain
Skeleton-of-Thought: Building a New Template from Scratch
LangChain
Benchmarking Methods for Semi-Structured RAG
LangChain
LangSmith Highlights: Getting Started
LangChain
LangSmith Highlights: Debugging
LangChain
LangSmith Highlights: Datasets
LangChain
LangSmith Highlights: Evaluation
LangChain
LangSmith Highlights: Human Annotation
LangChain
LangSmith Highlights: Monitoring
LangChain
LangSmith Highlights: Hub
LangChain
SQL Research Assistant
LangChain
Getting Started with Multi-Modal LLMs
LangChain
Build a Full Stack RAG App With TypeScript
LangChain
Auto-Prompt Builder (with Hosted LangServe)
LangChain
LangChain v0.1.0 Launch: Introduction
LangChain
LangChain v0.1.0 Launch: Observability
LangChain
LangChain v0.1.0 Launch: Integrations
LangChain
LangChain v0.1.0 Launch: Composability
LangChain
LangChain v0.1.0 Launch: Streaming
LangChain
LangChain v0.1.0 Launch: Output Parsing
LangChain
LangChain v0.1.0 Launch: Retrieval
LangChain
LangChain v0.1.0 Launch: Agents
LangChain
Build and Deploy a RAG app with Pinecone Serverless
LangChain
Hosted LangServe + LangChain Templates
LangChain
LangGraph: Intro
LangChain
LangGraph: Agent Executor
LangChain
LangGraph: Chat Agent Executor
LangChain
LangGraph: Human-in-the-Loop
LangChain
LangGraph: Dynamically Returning a Tool Output Directly
LangChain
LangGraph: Respond in a Specific Format
LangChain
LangGraph: Managing Agent Steps
LangChain
LangGraph: Force-Calling a Tool
LangChain
LangGraph: Multi-Agent Workflows
LangChain
Streaming Events: Introducing a new `stream_events` method
LangChain
Building a web RAG chatbot: using LangChain, Exa (prev. Metaphor), LangSmith, and Hosted Langserve
LangChain
OpenGPTs
LangChain
Open Source RAG with Nomic's New Embedding Model (and ChromaDB and Ollama)
LangChain
LangGraph: Persistence
LangChain
More on: LLM Engineering
View skill →Related Reads
📰
📰
📰
📰
Why I Ditched Socket.IO for Raw WebSockets (And What I Learned)
Dev.to · Nikhil Sharma
atob() can't decode a JWT — the Base64URL gotcha (and the fix)
Dev.to · Daniel Cheong
Why Debugging Made Me a Better Developer
Medium · JavaScript
Mapping Go Domain Errors to HTTP Status Codes at the Boundary
Dev.to · Gabriel Anhaia
Chapters (8)
Introduction & Overview
0:21
Project Setup & Initial Implementation
1:42
Authentication Basics
3:24
Authorization & Resource Control
6:09
Scoped Authorization
8:27
Production Integration
11:39
Testing & Validation
12:36
Conclusion & Next Steps
🎓
Tutor Explanation
DeepCamp AI