agimus 0.1.1

Python SDK for the Agimus Platform Object Store API

Agimus Python SDK

Official Python SDK for the Agimus Platform Object Store API.

Installation

pip install agimus

Quick Start

from agimus import AgimusClient

# Initialize with your API key
client = AgimusClient(api_key="agm_your_key_here")

# Query objects
customers = client.objects("customer").filter(status="active").all()

# Get a single object
customer = client.objects("customer").get("C123")

# Create an object
new_customer = client.objects("customer").create({
    "id": "C999",
    "name": "Acme Corp",
    "email": "[e-mail]"
})

# Update an object
updated = client.objects("customer").update("C123", {"status": "premium"})

# Delete an object
client.objects("customer").delete("C123")

Querying

Filtering

Use Django-style double-underscore syntax for operators:

# Equals (default)
client.objects("customer").filter(status="active")

# Not equals
client.objects("customer").filter(status__ne="deleted")

# Comparison
client.objects("order").filter(total__gt=100)
client.objects("order").filter(total__gte=100)
client.objects("order").filter(total__lt=1000)
client.objects("order").filter(total__lte=1000)

# Between (inclusive)
client.objects("order").filter(total__between=[100, 500])

# In list
client.objects("customer").filter(region__in=["US", "EU", "APAC"])

# Not in list
client.objects("customer").filter(status__nin=["deleted", "archived"])

# String matching
client.objects("customer").filter(name__like="Acme%")
client.objects("customer").filter(email__ilike="[e-mail]")
client.objects("customer").filter(name__starts_with="A")
client.objects("customer").filter(name__ends_with="Corp")

# Null checks
client.objects("customer").filter(deleted_at__is_null=True)
client.objects("customer").filter(verified_at__is_not_null=True)

# Empty checks (for arrays/strings)
client.objects("customer").filter(tags__is_empty=True)
client.objects("customer").filter(tags__is_not_empty=True)

# Array operations
client.objects("customer").filter(tags__contains="vip")
client.objects("customer").filter(tags__overlaps=["premium", "enterprise"])

# Multiple filters (AND)
client.objects("customer").filter(status="active", region="US")

Sorting

# Ascending
client.objects("customer").sort("name")

# Descending (prefix with -)
client.objects("customer").sort("-createdAt")

# Multiple fields
client.objects("customer").sort("-createdAt", "name")

Field Selection

# Only return specific fields
client.objects("customer").fields("id", "name", "email").all()

Expanding Relations

# Include related objects
customer = client.objects("customer").get("C123", expand=["orders"])

# In queries
customers = client.objects("customer").expand("orders").all()

# Nested expansion
client.objects("customer").expand("orders", "orders.items").all()

Pagination

# Set page size (max 100)
client.objects("customer").limit(25).all()

# Auto-pagination with iteration
for customer in client.objects("customer").filter(status="active"):
    print(customer["name"])

# Manual cursor-based pagination
query = client.objects("customer").filter(status="active").limit(50)
# First page via .all() or iterate with .iter()

Counting & First

# Count matching objects
total = client.objects("customer").filter(status="active").count()

# Get first match only
top_customer = client.objects("customer").sort("-revenue").first()

Batch Get

# Get multiple objects by PKs (max 100)
result = client.objects("customer").batch_get(["C1", "C2", "C3"])
# result = {"data": [...], "found": 3, "requested": 3}

Distinct Values

# Get distinct values for a field
regions = client.objects("customer").distinct("region")
# ["US", "EU", "APAC", ...]

# With filter
active_regions = client.objects("customer").filter(status="active").distinct("region")

Aggregation

Run powerful aggregation queries with grouping and metrics:

# Count customers by region
result = client.objects("customer").aggregate(
    metrics=[{"op": "count", "alias": "total"}],
    group_by=[{"field": "region"}],
    sort=["-total"],
    limit=10
)
# result["data"] = [{"region": "US", "total": 150}, ...]

# Monthly revenue with order count
result = client.objects("order").filter(status="completed").aggregate(
    metrics=[
        {"op": "sum", "field": "total", "alias": "revenue"},
        {"op": "avg", "field": "total", "alias": "avgOrder"},
        {"op": "count", "alias": "orders"}
    ],
    group_by=[{"field": "createdAt", "granularity": "month"}],
    sort=["-revenue"]
)

# Available aggregation operators:
# count, count_distinct, sum, avg, min, max, first, last

# Available time granularities:
# year, quarter, month, week, day, hour

Link Traversal

Navigate relationships between entities:

# Get related objects
orders = client.objects("customer").links("C123", "orders")
# orders = {"data": [...], "hasMore": False, "cursor": None}

# With pagination
orders = client.objects("customer").links("C123", "orders", page_size=10, offset=0)

# Count related objects
order_count = client.objects("customer").count_links("C123", "orders")

Write Operations

Create

customer = client.objects("customer").create({
    "id": "C999",
    "name": "Acme Corp",
    "email": "[e-mail]",
    "status": "active"
})

Update

# Partial update - only specified fields are changed
updated = client.objects("customer").update("C123", {
    "status": "premium",
    "tier": "enterprise"
})

Upsert

# Create if doesn't exist, update if it does
customer = client.objects("customer").upsert("C123", {
    "name": "Acme Corp",
    "status": "active"
})

Delete

# Creates a tombstone - object won't appear in queries
deleted = client.objects("customer").delete("C123")

Batch Operations

result = client.objects("customer").batch([
    {"op": "create", "data": {"id": "C1", "name": "Customer 1"}},
    {"op": "update", "pk": "C2", "data": {"status": "active"}},
    {"op": "delete", "pk": "C3"},
])
# result = {"results": [...], "succeeded": 2, "failed": 1}

Schema Discovery

# List all accessible entities
entities = client.list_entities()
for entity in entities:
    print(f"{entity['apiName']}: {entity['displayName']}")

# Get full entity schema
schema = client.get_entity_schema("customer")
print(f"Primary key: {schema['primaryKey']}")
for prop in schema["properties"]:
    print(f"  {prop['apiName']}: {prop['baseType']}")
for link in schema["links"]:
    print(f"  -> {link['apiName']}: {link['targetEntity']}")

# Get just properties
properties = client.get_properties("customer")

# Get single property details
prop = client.get_property("customer", "email")

# Get primary key info
pk = client.get_primary_key("customer")

# Get links
links = client.get_links("customer")

Utility Methods

# Health check
health = client.health()
# {"status": "healthy", "version": "1.0.0"}

# Get current API key info
me = client.me()
# {"tenantId": "...", "tenantName": "...", "userId": "...", ...}

Error Handling

from agimus import (
    AgimusClient,
    AgimusError,
    NotFoundError,
    ValidationError,
    AuthenticationError,
    AccessDeniedError,
    RateLimitError,
    ServerError,
)

client = AgimusClient(api_key="agm_...")

try:
    customer = client.objects("customer").get("nonexistent")
except NotFoundError as e:
    print(f"Not found: {e.entity} / {e.pk}")
except ValidationError as e:
    print(f"Invalid data: {e.message}, field: {e.field}")
except AuthenticationError as e:
    print(f"Auth failed: {e.message}")
except AccessDeniedError as e:
    print(f"Access denied: {e.message}")
except RateLimitError as e:
    print(f"Rate limited. Retry after: {e.retry_after}s")
except ServerError as e:
    print(f"Server error ({e.status_code}): {e.message}")
except AgimusError as e:
    print(f"API error: {e}")

Context Manager

with AgimusClient(api_key="agm_...") as client:
    customers = client.objects("customer").all()
# Connection automatically closed

Configuration

client = AgimusClient(
    api_key="agm_...",
    base_url="https://api.agimus.ai",  # Override base URL
    timeout=60.0,                        # Request timeout in seconds
)

Getting an API Key

1. Log in to your Agimus dashboard at https://agimus.ai
2. Go to Settings > API Access
3. Create a Service User
4. Generate an API Key for that Service User

The API key inherits permissions from the Service User's group memberships.

License

MIT