Final steps before deploying: 1/ Delete the skills folder the scaffolding created (not needed for now) 2/ Add environment variables. Need a Baseten API key (for the model) as well as a LangSmith API key for deployment LangSmith: https://
smith.langchain.com
@hwchase17
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Deployment Guide: Baseten and LangSmith Setup Steps
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Deploy AI Agents to LangSmith Using deepagents and Docker
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After that, it's go time! `deepagents deploy` This will use Docker under the hood, so make sure you have that installed It will build an agent server image, and then deploy it to LangSmith
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LangSmith Deployment Dashboard Features Traces Revisions
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After deployment finishes, you should be able to see it in the LangSmith UI You get a nice dashboard of the deployment where you can see traces, revisions, docs site, and other info
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LangChain adds MCP server tool for Mintlify documentation
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Now let's give it a tool! We host our docs on @mintlify
, which means we get an MCP server out of the box. Let's add that to our mcp.json file (You can see our full docs here: https://
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Building Documentation Assistant Agent Core Instructions
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Next up – the agents core instructions These live in AGENTS.md. I'm going to write some instructions for how this agent can be the best documentation assistant agent! You can see the full text here: https://
github.com/langchain-ai/d
eepagents/blob/main/examples/deploy-mcp-docs-agent/AGENTS.md
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Configuring AI Agent with GLM5 Model via Baseten
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After switching into the new directory (`cd lc-docs`) I'm going to set the name of my agent, and the model to use This is done in deepagents.toml I'm going to use @Zai_org GLM5 model, served via @baseten
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Initializing DeepAgents Project with Repository Setup
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Then I'm going to set up my repo. I'm going to run `deepagents init` It will ask me to give my project a name. I'm going to call it `lc-docs`. It will then set up scaffolding for my project
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Installing DeepAgents CLI for agent deployment
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First I'm going to install deepagents cli. This is a CLI which will help me set up and then deploy my agent `uv tool install deepagents-cli` DeepAgents CLI is open source – see it here: https://
github.com/langchain-ai/d
eepagents/tree/main/libs/cli
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DeepAgents Deploy: No-Code Agent Production Deployment Platform
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DeepAgents Deploy is the easiest way to bring agents to production, with just a few markdown and configuration files (no code!) Here's me building an agent that connects to LangChain Docs. Powered by @Zai_org GLM5 (via @baseten
) and @mintlify MCP -
Deep Agents: Optimizing Performance Across Model Families
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great deep dive into how we get deepagents to work well with different families of models