goodmem-client 1.0.5

API for interacting with the GoodMem service, providing vector-based memory storage and retrieval with multiple embedder support.

goodmem-client

API for interacting with the GoodMem service, providing vector-based memory storage and retrieval with multiple embedder support. The service enables creation of memory spaces, storing memories with vector representations, and efficient similarity-based retrieval.

This Python package is automatically generated by the OpenAPI Generator project:

• API version: v1
• Package version: 1.0.5
• Generator version: 7.13.0
• Build package: org.openapitools.codegen.languages.PythonClientCodegen For more information, please visit https://goodmem.io/support

Requirements.

Python 3.9+

Installation & Usage

pip install

You can install the package directly from PyPI:

pip install goodmem-client

If you prefer uv:

uv pip install goodmem-client

Then import the package:

import goodmem_client

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Then import the package:

import goodmem_client

Tests

Execute pytest to run the tests.

Getting Started

Please follow the installation procedure and then run the following:

from goodmem_client.api import APIKeysApi
from goodmem_client.configuration import Configuration
from goodmem_client.api_client import ApiClient
from goodmem_client.models import CreateApiKeyRequest
from goodmem_client.rest import ApiException
from pprint import pprint

# Configure the API client
configuration = Configuration()
configuration.host = "http://localhost:8080"  # Use your server URL

# Create API client
api_client = ApiClient(configuration=configuration)

# Set authentication
api_client.default_headers["x-api-key"] = "your-api-key"  # Your API key here

# Create an instance of the API class
api_instance = APIKeysApi(api_client=api_client)

# Prepare a create request with labels
create_request = CreateApiKeyRequest(
    labels={
        "environment": "development",
        "service": "chat-ui"
    }
)

try:
    # Create a new API key
    api_response = api_instance.create_api_key(create_api_key_request=create_request)
    print("API Key created successfully:")
    print(f"API Key ID: {api_response.api_key_metadata.api_key_id}")
    print(f"Raw API Key: {api_response.raw_api_key}")
except ApiException as e:
    print(f"Exception when calling APIKeysApi->create_api_key: {e}")

For a more comprehensive example, see the samples directory, particularly apikey_sample.py which demonstrates CRUD operations on API keys.

Documentation for API Endpoints

All URIs are relative to http://localhost:8080

Class	Method	HTTP request	Description
APIKeysApi	create_api_key	POST /v1/apikeys	Create a new API key
APIKeysApi	delete_api_key	DELETE /v1/apikeys/{id}	Delete an API key
APIKeysApi	list_api_keys	GET /v1/apikeys	List API keys
APIKeysApi	update_api_key	PUT /v1/apikeys/{id}	Update an API key
EmbeddersApi	create_embedder	POST /v1/embedders	Create a new embedder
EmbeddersApi	delete_embedder	DELETE /v1/embedders/{id}	Delete an embedder
EmbeddersApi	get_embedder	GET /v1/embedders/{id}	Get an embedder by ID
EmbeddersApi	list_embedders	GET /v1/embedders	List embedders
EmbeddersApi	update_embedder	PUT /v1/embedders/{id}	Update an embedder
MemoriesApi	batch_create_memory	POST /v1/memories/batch	Create multiple memories in a batch
MemoriesApi	batch_delete_memory	POST /v1/memories/batch/delete	Delete multiple memories by ID
MemoriesApi	batch_get_memory	POST /v1/memories/batch/get	Get multiple memories by ID
MemoriesApi	create_memory	POST /v1/memories	Create a new memory
MemoriesApi	delete_memory	DELETE /v1/memories/{id}	Delete a memory
MemoriesApi	get_memory	GET /v1/memories/{id}	Get a memory by ID
MemoriesApi	list_memories	GET /v1/spaces/{spaceId}/memories	List memories in a space
SpacesApi	create_space	POST /v1/spaces	Create a new Space
SpacesApi	delete_space	DELETE /v1/spaces/{id}	Delete a space
SpacesApi	get_space	GET /v1/spaces/{id}	Get a space by ID
SpacesApi	list_spaces	GET /v1/spaces	List spaces
SpacesApi	update_space	PUT /v1/spaces/{id}	Update a space
SystemApi	initialize_system	POST /v1/system/init	Initialize the system
UsersApi	get_user	GET /v1/users/{id}	Get a user by ID

Documentation For Models

• ApiKeyResponse - API key metadata and information
• BatchMemoryCreationRequest - Request for creating multiple memories
• BatchMemoryDeletionRequest - Request for deleting multiple memories
• BatchMemoryRetrievalRequest - Request for retrieving multiple memories
• CreateApiKeyRequest - Request for creating a new API key
• CreateApiKeyResponse - Response containing new API key details
• EmbedderCreationRequest - Request for creating a new embedder
• EmbedderResponse - Embedder configuration and metadata
• ListApiKeysResponse - Response containing list of API keys
• ListEmbeddersResponse - Response containing list of embedders
• ListSpacesResponse - Response containing list of spaces
• Memory - Memory object with content and metadata
• MemoryCreationRequest - Request for creating a new memory
• MemoryListResponse - Response containing list of memories
• Modality - Enumeration of supported modalities (TEXT, IMAGE, etc.)
• ProviderType - Enumeration of embedding providers (OPENAI, etc.)
• Space - Space object for organizing memories
• SpaceCreationRequest - Request for creating a new space
• SpaceEmbedder - Associates an embedder with a space, including retrieval configuration
• SpaceEmbedderConfig - Configuration for associating an embedder with a space
• SystemInitResponse - Response from system initialization
• UpdateApiKeyRequest - Request for updating an API key
• UpdateEmbedderRequest - Request for updating an embedder
• UpdateSpaceRequest - Request for updating a space
• UserResponse - User account information

Documentation For Authorization

Authentication schemes defined for the API:

BearerAuth

• Type: Bearer authentication

ApiKeyAuth

• Type: API key
• API key parameter name: x-api-key
• Location: HTTP header

Contact & Support

For questions or issues with the Python client, please visit:

• GitHub repository: https://github.com/PAIR-Systems-Inc/goodmem
• PyPI package: https://pypi.org/project/goodmem-client/

Author

[e-mail]