Point to user guide and quickstart

Author: anishathalye

README.md

@@ -8,107 +8,4 @@ You can install the Agility python client from [our internal repo](https://gith
 pip install git+ssh://git@github.com/cleanlab/agility-python.git
 ```
 
-# Overview
-
-This user guide goes over the basic concepts of Agility and includes an example of how to create an Agility assistant.
-
-Cleanlab Agility is an end-to-end API that allows you to create trustworthy AI applications. The API allows you to build reliable RAG systems by ingesting data from a wide variety of sources into Knowledge Bases and by creating AI Assistants that can respond to user queries while accessing the relevant data and providing reliable, interpretable answers. 
-
-## Concepts
-
-### Knowledge Bases
-
-- **Knowledge Bases** -
-- **Sources** -
-- **Documents** -
-
-### Assistants
-
-- **Assistant**  - An AI Assistant that will respond to user queries, while referencing user-supplied data sources and instructions.
-- **Threads -** A conversation session between a user and Assistant. Threads store Messages and retrieve context from Knowledge Bases to provide trustworthy results
-- **Messages -** A message created by a user or Assistant. Messages are represented as text and are attached to a parent Thread
-- **Runs -** Invokes the Assistant for a specific Thread. It uses the configuration for the Assistant as part of the context, including the data sources from its Knowledge Base and provided instructions. A Run will add Messages to the Thread
-
-
-# Quick Start
-
-## Step 0: Initialize python client
-
-```python
-from agility import Agility
-
-api_key = "your_agility_api_key"
-
-client = Agility(api_key=api_key)
-```
-
-## Step 1: Create a Knowledge Base
-
-```python
-knowledge_base = client.knowledge_bases.create(
-    name="Cleanlab docs",
-    description="Developer-facing docs for using Cleanlab",
-    ingestion_pipeline_params={
-        "curate": {},
-        "curate_document_store": {},
-        "transform": {},
-        "vector_store": {
-            "weaviate_collection_name": "weaviate_collection_name"
-        },
-    },
-)
-```
-
-## Step 2: Add a source to a Knowledge Base
-
-```python
-source = client.knowledge_bases.sources.create(
-    knowledge_base_id=knowledge_base.id,
-    name="Cleanlab docs URLs",
-    description="APIs and tutorials for Studio and TLM",
-    source_params={
-        "urls": ["https://help.cleanlab.ai", "https://help.cleanlab.ai/tlm"]
-    },
-    source_schedule={
-        "cron": "cron",
-        "utc_offset": 0,
-    },
-)
-```
-
-## ?? Step x: figure out if there are any other necessary actions related to sources and documents, such as source syncing
-
-## Step 3: Create an Assistant
-
-```python
-assistant = client.assistants.create(
-    knowledge_base_id=knowledge_base.id,
-    name="Chat with Cleanlab Docs",
-    description="Chat with Cleanlab Docs for Studio and TLM",
-)
-```
-
-## Step 4: Create a Thread
-
-```python
-thread = client.threads.create()
-```
-
-## Step 5: Add a Message to a Thread
-
-```python
-message = client.threads.messages.create(
-    thread_id=thread.id,
-    role="user",
-    content="I need to run TLM in batch-mode on a large number of datapoints. Can you help me?",
-)
-```
-
-## Step 6: Create a Run
-
-```python
-run = client.threads.runs.create(
-    thread_id=thread.id,
-    assistant_id=assistant.id,
-)
-```
+See the [user guide](https://www.notion.so/cleanlab/Agility-User-Guide-11ec7fee85be80669ed2f052cd786bac) and [quickstart](https://github.com/cleanlab/sandbox-cleanlab-studio/blob/main/agility_quickstart.ipynb) for more on how to use Agility.