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Author SHA1 Message Date
Sydney Runkle
f1b721887d Merge pull request #9 from langchain-ai/sr/template-update
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chore: remove unused `template-lock` stuff
2025-08-12 08:50:19 -04:00
Sydney Runkle
a10d7eb1a9 Merge remote-tracking branch 'origin/main' into sr/template-update 2025-08-12 08:37:25 -04:00
Sydney Runkle
64df02d6c2 Merge pull request #8 from langchain-ai/sr/context-schema
chore: replace `config_schema` with `context_schema`
2025-08-12 08:35:50 -04:00
Sydney Runkle
f1696eb614 remove langgraph-template stuff 2025-08-12 08:35:26 -04:00
Sydney Runkle
73d250349a update readme 2025-08-10 16:46:05 -04:00
Sydney Runkle
14b6eefcf1 update readme 2025-08-10 16:45:37 -04:00

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@@ -15,14 +15,6 @@ You can extend this graph to orchestrate more complex agentic workflows that can
## Getting Started
<!--
Setup instruction auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
-->
<!--
End setup instructions
-->
1. Install dependencies, along with the [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli/), which will be used to run the server.
```bash
@@ -53,7 +45,7 @@ For more information on getting started with LangGraph Server, [see here](https:
## How to customize
1. **Define configurable parameters**: Modify the `Configuration` class in the `graph.py` file to expose the arguments you want to configure. For example, in a chatbot application you may want to define a dynamic system prompt or LLM to use. For more information on configurations in LangGraph, [see here](https://langchain-ai.github.io/langgraph/concepts/low_level/?h=configuration#configuration).
1. **Define runtime context**: Modify the `Context` class in the `graph.py` file to expose the arguments you want to configure per assistant. For example, in a chatbot application you may want to define a dynamic system prompt or LLM to use. For more information on runtime context in LangGraph, [see here](https://langchain-ai.github.io/langgraph/agents/context/?h=context#static-runtime-context).
2. **Extend the graph**: The core logic of the application is defined in [graph.py](./src/agent/graph.py). You can modify this file to add new nodes, edges, or change the flow of information.
@@ -67,14 +59,3 @@ For more advanced features and examples, refer to the [LangGraph documentation](
LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for more in-depth tracing and collaboration with teammates, allowing you to analyze and optimize your chatbot's performance.
<!--
Configuration auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
{
"config_schemas": {
"agent": {
"type": "object",
"properties": {}
}
}
}
-->