remove dockerfile, update readmes

Dockerfile

@@ -1,12 +0,0 @@
-FROM python:3.9
-
-# Set the working directory to /app
-WORKDIR /app
-
-# Copy the current directory contents into the container at /app
-COPY . .
-
-# Install any needed packages specified in requirements.txt
-RUN pip install poetry && poetry config virtualenvs.create false && poetry install --with test
-
-RUN poetry run pytest

libs/sdk-js/README.md

@@ -0,0 +1,48 @@
+# LangGraph JS/TS SDK
+
+This repository contains the JS/TS SDK for interacting with the LangGraph REST API.
+
+## Quick Start
+
+To get started with the JS/TS SDK, [install the package](https://www.npmjs.com/package/@langchain/langgraph-sdk)
+
+```bash
+yarn add @langchain/langgraph-sdk
+```
+
+You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise
+you would need to specify the server URL when creating a client.
+
+```js
+import { Client } from "@langchain/langgraph-sdk";
+
+const client = new Client();
+
+// List all assistants
+const assistants = await client.assistants.search({
+  metadata: null,
+  offset: 0,
+  limit: 10,
+});
+
+// We auto-create an assistant for each graph you register in config.
+const agent = assistants[0];
+
+// Start a new thread
+const thread = await client.threads.create();
+
+// Start a streaming run
+const messages = [{ role: "human", content: "whats the weather in la" }];
+
+const streamResponse = client.runs.stream(
+  thread["thread_id"],
+  agent["assistant_id"],
+  {
+    input: { messages },
+  }
+);
+
+for await (const chunk of streamResponse) {
+  console.log(chunk);
+}
+```

libs/sdk-py/README.md

@@ -1 +1,35 @@
-# langgraph
+# LangGraph Python SDK
+
+This repository contains the Python SDK for interacting with the LangGraph REST API.
+
+## Quick Start
+
+To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/)
+
+```bash
+pip install -U langgraph-sdk
+```
+
+You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise
+you would need to specify the server URL when creating a client.
+
+```python
+from langgraph_sdk import get_client
+
+# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)`
+client = get_client()
+
+# List all assistants
+assistants = await client.assistants.search()
+
+# We auto-create an assistant for each graph you register in config.
+agent = assistants[0]
+
+# Start a new thread
+thread = await client.threads.create()
+
+# Start a streaming run
+input = {"messages": [{"role": "human", "content": "whats the weather in la"}]}
+async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
+    print(chunk)
+```