azure-cosmos-py
Helps your agent work with NoSQL databases in Azure Cosmos DB using Python. It's useful for managing data in a distributed way and making queries.
What it does
This tool lets you manage data in a database called Azure Cosmos DB using Python. You can add, read, update, delete, and search for information.
When to use it
- ✓When you need to store and retrieve data in an organized way.
- ✓When building applications that require a fast and reliable database.
- ✓To manage large amounts of frequently changing information.
Example of what to ask your AI
“Add a new product item with the name 'Mechanical Keyboard', price 150, and category 'Computer Accessories'.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You use special Python code to connect to the database. Then, you send commands to create, read, modify, or delete the data stored there.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill azure-cosmos-pyOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/azure-cosmos-py/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Supporting material availability
These paths remain unavailable in this catalog copy:
<support-root>/scripts/setup_cosmos_container.py
Do not invoke a step that requires one of these files. Obtain the original material and review its dependencies, license, and effects before use. Independent inline steps and the bundled helpers can proceed within the user’s authorized scope.
Azure Cosmos DB SDK for Python
Client library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.
Installation
pip install azure-cosmos azure-identity
Environment Variables
COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_DATABASE=mydb
COSMOS_CONTAINER=mycontainer
Authentication
from azure.identity import DefaultAzureCredential
from azure.cosmos import CosmosClient
credential = DefaultAzureCredential()
endpoint = "https://<account>.documents.azure.com:443/"
client = CosmosClient(url=endpoint, credential=credential)
Client Hierarchy
| Client | Purpose | Get From |
|---|---|---|
CosmosClient |
Account-level operations | Direct instantiation |
DatabaseProxy |
Database operations | client.get_database_client() |
ContainerProxy |
Container/item operations | database.get_container_client() |
Core Workflow
Setup Database and Container
# Get or create database
database = client.create_database_if_not_exists(id="mydb")
# Get or create container with partition key
container = database.create_container_if_not_exists(
id="mycontainer",
partition_key=PartitionKey(path="/category")
)
# Get existing
database = client.get_database_client("mydb")
container = database.get_container_client("mycontainer")
Create Item
item = {
"id": "item-001", # Required: unique within partition
"category": "electronics", # Partition key value
"name": "Laptop",
"price": 999.99,
"tags": ["computer", "portable"]
}
created = container.create_item(body=item)
print(f"Created: {created['id']}")
Read Item
# Read requires id AND partition key
item = container.read_item(
item="item-001",
partition_key="electronics"
)
print(f"Name: {item['name']}")
Update Item (Replace)
item = container.read_item(item="item-001", partition_key="electronics")
item["price"] = 899.99
item["on_sale"] = True
updated = container.replace_item(item=item["id"], body=item)
Upsert Item
# Create if not exists, replace if exists
item = {
"id": "item-002",
"category": "electronics",
"name": "Tablet",
"price": 499.99
}
result = container.upsert_item(body=item)
Delete Item
container.delete_item(
item="item-001",
partition_key="electronics"
)
Queries
Basic Query
# Query within a partition (efficient)
query = "SELECT * FROM c WHERE c.price < @max_price"
items = container.query_items(
query=query,
parameters=[{"name": "@max_price", "value": 500}],
partition_key="electronics"
)
for item in items:
print(f"{item['name']}: ${item['price']}")
Cross-Partition Query
# Cross-partition (more expensive, use sparingly)
query = "SELECT * FROM c WHERE c.price < @max_price"
items = container.query_items(
query=query,
parameters=[{"name": "@max_price", "value": 500}],
enable_cross_partition_query=True
)
for item in items:
print(item)
Query with Projection
query = "SELECT c.id, c.name, c.price FROM c WHERE c.category = @category"
items = container.query_items(
query=query,
parameters=[{"name": "@category", "value": "electronics"}],
partition_key="electronics"
)
Read All Items
# Read all in a partition
items = container.read_all_items() # Cross-partition
# Or with partition key
items = container.query_items(
query="SELECT * FROM c",
partition_key="electronics"
)
Partition Keys
Critical: Always include partition key for efficient operations.
from azure.cosmos import PartitionKey
# Single partition key
container = database.create_container_if_not_exists(
id="orders",
partition_key=PartitionKey(path="/customer_id")
)
…
FAQ
What is 'CRUD'?
CRUD stands for Create, Read, Update, and Delete. These are the basic operations you perform with data in a database.
What is a 'partition key'?
It's a piece of information used to organize and find your data more quickly within the database, like an index in a book.
Can I use this without knowing how to program?
This tool is for people who program in Python. It makes the job easier for those who already know how to code, but it's not for complete beginners.
Details
Original description by the author
Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2304
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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