diff --git a/docs/docs/cloud/reference/cli.md b/docs/docs/cloud/reference/cli.md
index 875fd7e0f..01286a5e3 100644
--- a/docs/docs/cloud/reference/cli.md
+++ b/docs/docs/cloud/reference/cli.md
@@ -46,7 +46,7 @@ The LangGraph CLI requires a JSON configuration file with the following keys:
| `graphs` | **Required**. Mapping from graph ID to path where the compiled graph or a function that makes a graph is defined. Example:
- `./your_package/your_file.py:variable`, where `variable` is an instance of `langgraph.graph.state.CompiledStateGraph`
- `./your_package/your_file.py:make_graph`, where `make_graph` is a function that takes a config dictionary (`langchain_core.runnables.RunnableConfig`) and creates an instance of `langgraph.graph.state.StateGraph` / `langgraph.graph.state.CompiledStateGraph`.
|
| `auth` | _(Added in v0.0.11)_ Auth configuration containing the path to your authentication handler. Example: `./your_package/auth.py:auth`, where `auth` is an instance of `langgraph_sdk.Auth`. See [authentication guide](../../concepts/auth.md) for details. |
| `env` | Path to `.env` file or a mapping from environment variable to its value. |
- | `store` | Configuration for adding semantic search to the BaseStore. Contains the following fields: - `index`: Configuration for semantic search indexing with fields:
- `embed`: Embedding provider (e.g., "openai:text-embedding-3-small") or path to custom embedding function
- `dims`: Dimension size of the embedding model. Used to initialize the vector table.
- `fields` (optional): List of fields to index. Defaults to `["$"]`, meaningto index entire documents. Can be specific fields like `["text", "summary", "some.value"]`
|
+ | `store` | Configuration for adding semantic search to the BaseStore. Contains the following fields: - `index`: Configuration for semantic search indexing with fields:
- `embed`: Embedding provider (e.g., "openai:text-embedding-3-small") or path to custom embedding function
- `dims`: Dimension size of the embedding model. Used to initialize the vector table.
- `fields` (optional): List of fields to index. Defaults to `["$"]`, which means to index entire documents. Can be specific fields like `["text", "summary", "some.value"]`
|
| `python_version` | `3.11` or `3.12`. Defaults to `3.11`. |
| `node_version` | Specify `node_version: 20` to use LangGraph.js. |
| `pip_config_file` | Path to `pip` config file. |
@@ -58,7 +58,7 @@ The LangGraph CLI requires a JSON configuration file with the following keys:
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `graphs` | **Required**. Mapping from graph ID to path where the compiled graph or a function that makes a graph is defined. Example: - `./src/graph.ts:variable`, where `variable` is an instance of `CompiledStateGraph`
- `./src/graph.ts:makeGraph`, where `makeGraph` is a function that takes a config dictionary (`LangGraphRunnableConfig`) and creates an instance of `StateGraph` / `CompiledStateGraph`.
|
| `env` | Path to `.env` file or a mapping from environment variable to its value. |
- | `store` | Configuration for adding semantic search to the BaseStore. Contains the following fields: - `index`: Configuration for semantic search indexing with fields:
- `embed`: Embedding provider (e.g., "openai:text-embedding-3-small") or path to custom embedding function
- `dims`: Dimension size of the embedding model. Used to initialize the vector table.
- `fields` (optional): List of fields to index. Defaults to `["$"]`, meaning to index entire documents. Can be specific fields like `["text", "summary", "some.value"]`
|
+ | `store` | Configuration for adding semantic search to the BaseStore. Contains the following fields: - `index`: Configuration for semantic search indexing with fields:
- `embed`: Embedding provider (e.g., "openai:text-embedding-3-small") or path to custom embedding function
- `dims`: Dimension size of the embedding model. Used to initialize the vector table.
- `fields` (optional): List of fields to index. Defaults to `["$"]`, which means to index entire documents. Can be specific fields like `["text", "summary", "some.value"]`
|
| `node_version` | Specify `node_version: 20` to use LangGraph.js. |
| `dockerfile_lines` | Array of additional lines to add to Dockerfile following the import from parent image. |