Sovant Memory-as-a-Service Python SDK
Project description
Sovant Python SDK
Sovant is Memory-as-a-Service: a durable, queryable memory layer for AI apps with cross-model recall, hybrid (semantic + deterministic) retrieval, and simple SDKs.
Installation
pip install sovant
Quick Start
from sovant import Sovant
# Initialize the client
client = Sovant(api_key="sk_live_your_api_key_here", base_url="https://sovant.ai")
# Create a memory
mem = client.memory.create({
"content": "User prefers dark mode",
"type": "preference",
"tags": ["ui", "settings"]
})
# Search memories
results = client.memory.search({
"query": "user preferences",
"limit": 10
})
# Update a memory
updated = client.memory.update(mem["id"], {
"tags": ["ui", "settings", "theme"]
})
# Delete a memory
client.memory.delete(mem["id"])
Chat in 60 Seconds
Stream real-time chat responses with memory context:
from sovant import Sovant
import sys
client = Sovant(api_key="sk_live_your_api_key_here", base_url="https://sovant.ai")
# Create a chat session
session = client.chat.create_session({"title": "Demo"})
# Stream a response
stream = client.chat.send_message(
session["id"],
"hello",
{
"provider": "openai",
"model": "gpt-4o-mini",
"use_memory": True
},
stream=True
)
for ev in stream:
if ev["type"] == "delta":
sys.stdout.write(ev.get("data", ""))
elif ev["type"] == "done":
print("\n[done]")
# Get chat history
messages = client.chat.get_messages(session["id"])
Profile Recall Helpers
Save and recall user profile facts with canonical patterns:
# Extract profile entity from text
fact = client.recall.extract_profile("i'm from kuching")
# -> {"entity": "location", "value": "kuching"} | None
if fact:
client.recall.save_profile_fact(fact) # canonicalizes and persists
# Get all profile facts
profile = client.recall.get_profile_facts()
# -> {"name": "...", "age": "...", "location": "...", "preferences": [...]}
Configuration
from sovant import Sovant
client = Sovant(
api_key="sk_live_your_api_key_here", # Required
base_url="https://sovant.ai", # Optional, API endpoint
timeout=30.0, # Optional, request timeout in seconds (default: 30.0)
max_retries=3, # Optional, max retry attempts (default: 3)
debug=False, # Optional, enable debug logging (default: False)
)
The SDK handles dual authentication automatically, preferring the x-sovant-api-key header over Authorization: Bearer.
API Reference
Memory Operations
Create Memory
memory = client.memory.create({
"content": "Customer contacted support about billing",
"type": "observation", # 'journal' | 'insight' | 'observation' | 'task' | 'preference'
"tags": ["support", "billing"],
"metadata": {"ticket_id": "12345"},
"thread_id": "thread_abc123", # Optional thread association
})
List Memories
memories = client.memory.list({
"limit": 20, # Max items per page (default: 20)
"offset": 0, # Pagination offset
"tags": ["billing"], # Filter by tags
"type": "observation", # Filter by type
"is_archived": False, # Filter archived status
})
print(memories["memories"]) # Array of memories
print(memories["total"]) # Total count
print(memories["has_more"]) # More pages available
Get Memory by ID
memory = client.memory.get("mem_123abc")
Update Memory (Partial)
updated = client.memory.update("mem_123abc", {
"tags": ["support", "billing", "resolved"],
"metadata": {
**memory.get("metadata", {}),
"resolved": True,
},
"is_archived": True,
})
Replace Memory (Full)
replaced = client.memory.put("mem_123abc", {
"content": "Updated content here", # Required for PUT
"type": "observation",
"tags": ["updated"],
})
Delete Memory
client.memory.delete("mem_123abc")
Search Memories
# Semantic search
semantic_results = client.memory.search({
"query": "customer preferences about notifications",
"limit": 10,
"type": "preference",
})
# Filter-based search
filter_results = client.memory.search({
"tags": ["settings", "notifications"],
"from_date": "2024-01-01",
"to_date": "2024-12-31",
"limit": 20,
})
Batch Operations
batch = client.memory.batch({
"operations": [
{
"op": "create",
"data": {
"content": "First memory",
"type": "journal",
},
},
{
"op": "update",
"id": "mem_123abc",
"data": {
"tags": ["updated"],
},
},
{
"op": "delete",
"id": "mem_456def",
},
],
})
print(batch["results"]) # Individual operation results
print(batch["summary"]) # Summary statistics
Thread Management
Associate memories with conversation threads:
# Create a thread
thread = client.threads.create({
"title": "Customer Support Session",
"metadata": {"user_id": "user_123"}
})
# List threads
threads = client.threads.list({
"limit": 10,
"offset": 0
})
# Get thread by ID
thread = client.threads.get("thread_abc123")
# Update thread
updated_thread = client.threads.update("thread_abc123", {
"title": "Resolved: Billing Issue",
"metadata": {"status": "resolved"}
})
# Delete thread
client.threads.delete("thread_abc123")
# Link memory to thread
client.threads.link_memory("thread_abc123", "mem_123abc")
# Create memories within a thread
memory1 = client.memory.create({
"content": "User asked about pricing",
"type": "observation",
"thread_id": "thread_abc123",
})
memory2 = client.memory.create({
"content": "User selected enterprise plan",
"type": "observation",
"thread_id": "thread_abc123",
})
# List memories in a thread
thread_memories = client.memory.list({
"thread_id": "thread_abc123",
})
API Key Management
Manage API keys programmatically:
# List all API keys
keys = client.keys.list()
print(keys) # Array of key objects
# Create a new API key
new_key = client.keys.create({"name": "CI key"})
print(new_key["key"]) # The actual secret key (only shown once!)
# Update key metadata
client.keys.update(new_key["id"], {"name": "Production key"})
# Revoke a key
client.keys.revoke(new_key["id"])
Memory Types
- journal - Chronological entries and logs
- insight - Derived patterns and conclusions
- observation - Factual, observed information
- task - Action items and todos
- preference - User preferences and settings
Error Handling
The SDK provides typed errors for better error handling:
from sovant import Sovant, SovantError, AuthError, RateLimitError, NetworkError, TimeoutError
try:
memory = client.memory.get("invalid_id")
except AuthError as e:
print(f"Authentication failed: {e}")
# Handle authentication error
except RateLimitError as e:
print(f"Rate limit exceeded: {e}")
print(f"Retry after: {e.retry_after}")
# Handle rate limiting
except NetworkError as e:
print(f"Network error: {e}")
# Handle network issues
except TimeoutError as e:
print(f"Request timed out: {e}")
# Handle timeout
except SovantError as e:
print(f"API Error: {e}")
print(f"Status: {e.status}")
print(f"Request ID: {e.request_id}")
if e.status == 404:
# Handle not found
pass
elif e.status == 400:
# Handle bad request
pass
Advanced Features
Retry Configuration
The SDK automatically retries failed requests with exponential backoff:
client = Sovant(
api_key="sk_live_...",
max_retries=5, # Increase retry attempts
timeout=60.0, # Increase timeout for slow connections
)
Debug Mode
Enable debug logging to see detailed request/response information:
client = Sovant(
api_key="sk_live_...",
debug=True, # Enable debug output
)
Custom Base URL
Connect to different environments:
client = Sovant(
api_key="sk_live_...",
base_url="https://staging.sovant.ai",
)
Best Practices
- Use appropriate memory types - Choose the correct type for your use case
- Add meaningful tags - Tags improve searchability and organization
- Use threads - Group related memories together
- Handle errors gracefully - Implement proper error handling
- Batch operations - Use batch API for multiple operations
- Archive don't delete - Consider archiving instead of deleting
Examples
Customer Support Integration
# Track customer interaction
interaction = client.memory.create({
"content": "Customer reported slow dashboard loading",
"type": "observation",
"thread_id": f"ticket_{ticket_id}",
"tags": ["support", "performance", "dashboard"],
"metadata": {
"ticket_id": ticket_id,
"customer_id": customer_id,
"priority": "high",
},
})
# Record resolution
resolution = client.memory.create({
"content": "Resolved by clearing cache and upgrading plan",
"type": "insight",
"thread_id": f"ticket_{ticket_id}",
"tags": ["support", "resolved"],
"metadata": {
"ticket_id": ticket_id,
"resolution_time": "2h",
},
})
User Preference Tracking
# Store preference
preference = client.memory.create({
"content": "User prefers email notifications over SMS",
"type": "preference",
"tags": ["notifications", "email", "settings"],
"metadata": {
"user_id": user_id,
"setting": "notification_channel",
"value": "email",
},
})
# Query preferences
preferences = client.memory.search({
"query": "notification preferences",
"type": "preference",
"tags": ["notifications"],
})
Rate Limiting
The API implements rate limiting. The SDK automatically handles rate limit responses with retries. Rate limit headers are included in responses:
X-RateLimit-Limit- Request limit per windowX-RateLimit-Remaining- Remaining requestsX-RateLimit-Reset- Reset timestamp
Support
- Documentation: https://sovant.ai/docs
- API/Auth docs: https://sovant.ai/docs/security/auth
- Issues: GitHub Issues
- Support: support@sovant.ai
Changelog
See CHANGELOG.md for a detailed history of changes.
License
MIT - See LICENSE file for details.
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