WEBDIENSTE/langgraph
1
0
Fork 0
mirror of https://github.com/langchain-ai/langgraph.git synced 2026-10-01 22:15:11 +02:00
Code Issues Packages Projects Releases Wiki Activity

Create user_agent_auth.md (#5299)

Browse Source 
* Create user_agent_auth.md

Adding documentation for agent authentication on behalf of a user

* Update user_agent_auth.md

* Rename user_agent_auth.md to user-agent-auth.md

* break content out to separate guides

* add links/overview

* edits

* fix sentence

* Fix broken links

* Fix: Change 'get_user_config' fn name to 'my_node'

* Fix: Add reference to custom auth in MCP docs example

---------

Co-authored-by: Lauren Hirata Singh <lauren@langchain.dev>
This commit is contained in:
Jake Broekhuizen
2025-07-02 22:05:07 +00:00
committed by GitHub
co-authored by Lauren Hirata Singh
parent 89451f4ea2
commit 22e09d2739
9 changed files with 361 additions and 226 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/docs/agents/overview.md
+1 -1
View File
@@ -30,7 +30,7 @@ LangGraph includes several capabilities essential for building robust, productio
- [**Memory integration**](../how-tos/memory/add-memory.md): Native support for *short-term* (session-based) and *long-term* (persistent across sessions) memory, enabling stateful behaviors in chatbots and assistants.
- [**Human-in-the-loop control**](../concepts/human_in_the_loop.md): Execution can pause *indefinitely* to await human feedback—unlike websocket-based solutions limited to real-time interaction. This enables asynchronous approval, correction, or intervention at any point in the workflow.
- [**Streaming support**](../how-tos/streaming.md): Real-time streaming of agent state, model tokens, tool outputs, or combined streams.
- [**Deployment tooling**](./deployment.md): Includes infrastructure-free deployment tools. [**LangGraph Platform**](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) supports testing, debugging, and deployment.
- [**Deployment tooling**](../tutorials/langgraph-platform/local-server.md): Includes infrastructure-free deployment tools. [**LangGraph Platform**](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) supports testing, debugging, and deployment.
- **[Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/)**: A visual IDE for inspecting and debugging workflows.
- Supports multiple [**deployment options**](https://langchain-ai.github.io/langgraph/concepts/deployment_options.md) for production.