stratadb 0.13.0

Python SDK for StrataDB - an embedded database for AI agents

strata-python

Python SDK for StrataDB - an embedded database for AI agents.

PyO3-based bindings embedding the Rust library directly in a Python native extension. No network hop, no serialization overhead beyond the Python/Rust boundary.

Installation

From PyPI (coming soon)

pip install stratadb

From Source

Requires Rust toolchain and maturin:

git clone https://github.com/strata-systems/strata-python.git
cd strata-python
pip install maturin
maturin develop

Quick Start

from stratadb import Strata

# Open a database (or use Strata.cache() for in-memory)
db = Strata.open("/path/to/data")

# Key-value storage
db.kv_put("user:123", "Alice")
print(db.kv_get("user:123"))  # "Alice"

# Branch isolation (like git branches)
db.create_branch("experiment")
db.set_branch("experiment")
print(db.kv_get("user:123"))  # None - isolated

# Space organization within branches
db.set_space("conversations")
db.kv_put("msg_001", "hello")

Features

Six Data Primitives

Primitive	Purpose	Key Methods
KV Store	Working memory, config	kv_put, kv_get, kv_delete, kv_list
Event Log	Immutable audit trail	event_append, event_get, event_list
State Cell	CAS-based coordination	state_set, state_get, state_cas
JSON Store	Structured documents	json_set, json_get, json_delete
Vector Store	Embeddings, similarity search	vector_upsert, vector_search
Branch	Data isolation	create_branch, set_branch, fork_branch

Transactions

# Context manager (recommended) — auto-commits on success, auto-rollbacks on exception
with db.transaction():
    db.kv_put("key1", "value1")
    db.kv_put("key2", "value2")

# Read-only transaction
with db.transaction(read_only=True):
    value = db.kv_get("key1")

# Manual control
db.begin()
db.kv_put("a", 1)
db.commit()  # or db.rollback()

Search

# Hybrid search across all primitives (KV, JSON, Event, State, Branch, Vector)
results = db.search("weather forecast", k=10)
for hit in results:
    print(f"[{hit['primitive']}] {hit['entity']} (score: {hit['score']:.3f})")

# Filter to specific primitives
results = db.search("config", primitives=["kv", "json"])

# Vector search with metadata filters
results = db.vector_search_filtered(
    "embeddings", query_vector, k=10,
    metric="cosine",
    filter=[{"field": "category", "op": "eq", "value": "science"}],
)

NumPy Integration

Vector operations accept and return NumPy arrays:

import numpy as np

# Create a collection
db.vector_create_collection("embeddings", 384, metric="cosine")

# Upsert with NumPy array
embedding = np.random.rand(384).astype(np.float32)
db.vector_upsert("embeddings", "doc-1", embedding, metadata={"title": "Hello"})

# Search returns matches with scores
results = db.vector_search("embeddings", embedding, k=10)
for match in results:
    print(f"{match['key']}: {match['score']}")

Branch Operations

# Fork current branch (copies all data)
db.fork_branch("experiment")

# Compare branches
diff = db.diff_branches("default", "experiment")
print(f"Added: {diff['summary']['total_added']}")

# Merge branches
result = db.merge_branches("experiment", strategy="last_writer_wins")
print(f"Keys applied: {result['keys_applied']}")

Event Log

# Append events
db.event_append("tool_call", {"tool": "search", "query": "weather"})
db.event_append("tool_call", {"tool": "calculator", "expr": "2+2"})

# Get by sequence number
event = db.event_get(0)

# List by type
tool_calls = db.event_list("tool_call")

# Paginated listing
page = db.event_list_paginated("tool_call", limit=10, after=5)

Compare-and-Swap (Version-based)

# Initialize if not exists
db.state_init("counter", 0)

# CAS is version-based - pass expected version, not expected value
# Get current value and its version via state_set (returns version)
version = db.state_set("counter", 1)

# Update only if version matches
new_version = db.state_cas("counter", 2, version)  # (cell, new_value, expected_version)
if new_version is None:
    print("CAS failed - version mismatch")

Error Handling

All exceptions inherit from StrataError:

from stratadb import StrataError, NotFoundError, ValidationError

try:
    db.kv_get("missing_key")
except NotFoundError:
    print("Key not found")
except StrataError:
    print("Some other database error")

Exception	When raised
StrataError	Base class for all errors
NotFoundError	Entity not found (key, branch, collection, etc.)
ValidationError	Invalid input or type mismatch
ConflictError	Version or concurrency conflict
StateError	Invalid state transition (e.g., duplicate branch)
ConstraintError	Constraint violation (e.g., dimension mismatch)
AccessDeniedError	Access denied (read-only mode)
IoError	I/O, serialization, or internal error

Auto-Embedding

Enable automatic text embedding for semantic search:

# Downloads MiniLM-L6-v2 model (~80MB) on first use
db = Strata.open("/path/to/data", auto_embed=True)

# Or pre-download the model
import stratadb
stratadb.setup()

API Reference

Strata

Method	Description
Strata.open(path, auto_embed=False, read_only=False)	Open database at path
Strata.cache()	Create in-memory database
Strata.setup()	Download embedding model files

KV Store

Method	Description
kv_put(key, value)	Store a value (returns version)
kv_get(key)	Get a value (returns None if missing)
kv_delete(key)	Delete a key
kv_list(prefix=None)	List keys
kv_history(key)	Get version history
kv_get_versioned(key)	Get value with version info
kv_list_paginated(prefix=None, limit=None)	List keys with limit

State Cell

Method	Description
state_set(cell, value)	Set value (returns version)
state_get(cell)	Get value
state_init(cell, value)	Initialize if not exists
state_cas(cell, new_value, expected_version)	Compare-and-swap (version-based)
state_history(cell)	Get version history
state_delete(cell)	Delete a state cell
state_list(prefix=None)	List state cell names
state_get_versioned(cell)	Get value with version info

Event Log

Method	Description
event_append(type, payload)	Append event (payload must be a dict)
event_get(sequence)	Get by sequence
event_list(type)	List by type
event_len()	Get count
event_list_paginated(type, limit=None, after=None)	Paginated listing

JSON Store

Method	Description
json_set(key, path, value)	Set at JSONPath
json_get(key, path)	Get at JSONPath
json_delete(key, path)	Delete
json_history(key)	Get version history
json_list(limit, prefix=None, cursor=None)	List keys (paginated)
json_get_versioned(key)	Get value with version info

Vector Store

Method	Description
vector_create_collection(name, dim, metric=None)	Create collection ("cosine", "euclidean", "dot_product")
vector_delete_collection(name)	Delete collection
vector_list_collections()	List collections
vector_upsert(collection, key, vector, metadata=None)	Insert/update
vector_get(collection, key)	Get vector
vector_delete(collection, key)	Delete vector
vector_search(collection, query, k)	Similarity search
vector_search_filtered(collection, query, k, metric=None, filter=None)	Search with filters
vector_collection_stats(collection)	Get collection statistics
vector_batch_upsert(collection, vectors)	Batch insert/update

Search

Method	Description
search(query, k=None, primitives=None)	Hybrid search across primitives

Branches

Method	Description
current_branch()	Get current branch
set_branch(name)	Switch branch
create_branch(name)	Create empty branch
fork_branch(dest)	Fork with data copy
list_branches()	List all branches
delete_branch(name)	Delete branch
branch_exists(name)	Check if branch exists
branch_get(name)	Get branch metadata
diff_branches(a, b)	Compare branches
merge_branches(source, strategy=None)	Merge into current

Spaces

Method	Description
current_space()	Get current space
set_space(name)	Switch space
list_spaces()	List spaces
space_create(name)	Create a space explicitly
space_exists(name)	Check if space exists
delete_space(name)	Delete space
delete_space_force(name)	Force delete space

Transactions

Method	Description
transaction(read_only=False)	Context manager (auto-commit/rollback)
begin(read_only=None)	Begin transaction manually
commit()	Commit (returns version)
rollback()	Rollback
txn_info()	Get transaction info
txn_is_active()	Check if transaction is active

Bundle Operations

Method	Description
branch_export(branch, path)	Export branch to bundle file
branch_import(path)	Import branch from bundle file
branch_validate_bundle(path)	Validate bundle file

Database

Method	Description
ping()	Health check
info()	Get database info
flush()	Flush to disk
compact()	Trigger compaction
retention_apply()	Apply retention policy (garbage collection)

Type Stubs

The package includes a py.typed marker and _stratadb.pyi stub file for full IDE autocompletion and mypy support.

Limitations

• Bytes roundtrip via bundles: bytes values survive normal get/put operations, but a bundle export/import cycle serializes through JSON. Byte values are base64-encoded on export and decoded as str on import.
• KV pagination: kv_list_paginated does not support cursor-based pagination. Use prefix and limit to narrow results.

Development

# Install dev dependencies
pip install maturin pytest numpy

# Build and install in development mode
maturin develop

# Run tests
pytest tests/

License

MIT