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-rw-r--r--packages/openai-sdk-python/README.md318
-rw-r--r--packages/openai-sdk-python/pyproject.toml96
-rw-r--r--packages/openai-sdk-python/src/__init__.py54
-rw-r--r--packages/openai-sdk-python/src/infinite_chat.py268
-rw-r--r--packages/openai-sdk-python/src/tools.py366
-rw-r--r--packages/openai-sdk-python/tests/__init__.py1
-rw-r--r--packages/openai-sdk-python/tests/test_infinite_chat.py387
-rw-r--r--packages/openai-sdk-python/tests/test_tools.py350
-rw-r--r--packages/openai-sdk-python/uv.lock1313
9 files changed, 3153 insertions, 0 deletions
diff --git a/packages/openai-sdk-python/README.md b/packages/openai-sdk-python/README.md
new file mode 100644
index 00000000..fdc03b54
--- /dev/null
+++ b/packages/openai-sdk-python/README.md
@@ -0,0 +1,318 @@
+# Supermemory OpenAI Python SDK
+
+Enhanced OpenAI Python SDK with Supermemory infinite context integration.
+
+This package extends the official [OpenAI Python SDK](https://github.com/openai/openai-python) with [Supermemory](https://supermemory.ai) capabilities, enabling infinite context chat completions and memory management tools.
+
+## Features
+
+- 🚀 **Infinite Context**: Chat completions with unlimited conversation history
+- 🧠 **Memory Tools**: Search, add, and fetch user memories seamlessly
+- 🔌 **Multiple Providers**: Support for OpenAI, Anthropic, Groq, and more
+- 🛠 **Function Calling**: Built-in memory tools for OpenAI function calling
+- 🔒 **Type Safe**: Full TypeScript-style type hints for Python
+- âš¡ **Async Support**: Full async/await support
+
+## Installation
+
+Install using uv (recommended):
+
+```bash
+uv add supermemory-openai
+```
+
+Or with pip:
+
+```bash
+pip install supermemory-openai
+```
+
+## Quick Start
+
+### Basic Chat Completion
+
+```python
+import asyncio
+from supermemory_openai import SupermemoryOpenAI, SupermemoryInfiniteChatConfigWithProviderName
+
+async def main():
+ # Initialize client
+ client = SupermemoryOpenAI(
+ supermemory_api_key="your-supermemory-api-key",
+ config=SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key="your-openai-api-key",
+ )
+ )
+
+ # Create chat completion
+ response = await client.chat_completion(
+ messages=[
+ {"role": "user", "content": "Hello, how are you?"}
+ ],
+ model="gpt-4o"
+ )
+
+ print(response.choices[0].message.content)
+
+asyncio.run(main())
+```
+
+### Using Memory Tools
+
+```python
+import asyncio
+from supermemory_openai import SupermemoryOpenAI, SupermemoryTools, SupermemoryInfiniteChatConfigWithProviderName
+
+async def main():
+ # Initialize client and tools
+ client = SupermemoryOpenAI(
+ supermemory_api_key="your-supermemory-api-key",
+ config=SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key="your-openai-api-key",
+ )
+ )
+
+ tools = SupermemoryTools(
+ api_key="your-supermemory-api-key",
+ config={"project_id": "my-project"}
+ )
+
+ # Chat with memory tools
+ response = await client.chat_completion(
+ messages=[
+ {
+ "role": "system",
+ "content": "You are a helpful assistant with access to user memories."
+ },
+ {
+ "role": "user",
+ "content": "Remember that I prefer tea over coffee"
+ }
+ ],
+ tools=tools.get_tool_definitions(),
+ model="gpt-4o"
+ )
+
+ print(response.choices[0].message.content)
+
+asyncio.run(main())
+```
+
+## Configuration
+
+### Provider Configuration
+
+#### Using Provider Names
+
+```python
+from supermemory_openai import SupermemoryInfiniteChatConfigWithProviderName
+
+config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai", # or "anthropic", "groq", "openrouter", etc.
+ provider_api_key="your-provider-api-key",
+ headers={"custom-header": "value"} # optional
+)
+```
+
+#### Using Custom URLs
+
+```python
+from supermemory_openai import SupermemoryInfiniteChatConfigWithProviderUrl
+
+config = SupermemoryInfiniteChatConfigWithProviderUrl(
+ provider_url="https://your-custom-endpoint.com/v1",
+ provider_api_key="your-provider-api-key",
+ headers={"custom-header": "value"} # optional
+)
+```
+
+### Supported Providers
+
+- `openai` - OpenAI API
+- `anthropic` - Anthropic Claude
+- `openrouter` - OpenRouter
+- `deepinfra` - DeepInfra
+- `groq` - Groq
+- `google` - Google AI
+- `cloudflare` - Cloudflare Workers AI
+
+## Memory Tools
+
+### SupermemoryTools Class
+
+```python
+from supermemory_openai import SupermemoryTools
+
+tools = SupermemoryTools(
+ api_key="your-supermemory-api-key",
+ config={
+ "project_id": "my-project", # or use container_tags
+ "base_url": "https://custom-endpoint.com", # optional
+ }
+)
+
+# Search memories
+result = await tools.search_memories(
+ information_to_get="user preferences",
+ limit=10,
+ include_full_docs=True
+)
+
+# Add memory
+result = await tools.add_memory(
+ memory="User prefers tea over coffee"
+)
+
+# Fetch specific memory
+result = await tools.fetch_memory(
+ memory_id="memory-id-here"
+)
+```
+
+### Individual Tools
+
+```python
+from supermemory_openai import (
+ create_search_memories_tool,
+ create_add_memory_tool,
+ create_fetch_memory_tool
+)
+
+search_tool = create_search_memories_tool("your-api-key")
+add_tool = create_add_memory_tool("your-api-key")
+fetch_tool = create_fetch_memory_tool("your-api-key")
+```
+
+### Function Calling Integration
+
+```python
+from supermemory_openai import execute_memory_tool_calls
+
+# After getting tool calls from OpenAI
+if response.choices[0].message.tool_calls:
+ tool_results = await execute_memory_tool_calls(
+ api_key="your-supermemory-api-key",
+ tool_calls=response.choices[0].message.tool_calls,
+ config={"project_id": "my-project"}
+ )
+
+ # Add tool results to conversation
+ messages.append(response.choices[0].message)
+ messages.extend(tool_results)
+```
+
+## API Reference
+
+### SupermemoryOpenAI
+
+Enhanced OpenAI client with infinite context support.
+
+#### Constructor
+
+```python
+SupermemoryOpenAI(
+ supermemory_api_key: str,
+ config: Optional[SupermemoryInfiniteChatConfig] = None
+)
+```
+
+#### Methods
+
+- `chat_completion()` - Create chat completion with simplified interface
+- `create_chat_completion()` - Create chat completion with full OpenAI parameters
+
+### SupermemoryTools
+
+Memory management tools for function calling.
+
+#### Constructor
+
+```python
+SupermemoryTools(
+ api_key: str,
+ config: Optional[SupermemoryToolsConfig] = None
+)
+```
+
+#### Methods
+
+- `get_tool_definitions()` - Get OpenAI function definitions
+- `search_memories()` - Search user memories
+- `add_memory()` - Add new memory
+- `fetch_memory()` - Fetch specific memory by ID
+- `execute_tool_call()` - Execute individual tool call
+
+## Error Handling
+
+```python
+try:
+ response = await client.chat_completion(
+ messages=[{"role": "user", "content": "Hello"}],
+ model="gpt-4o"
+ )
+except Exception as e:
+ print(f"Error: {e}")
+```
+
+## Environment Variables
+
+Set these environment variables for testing:
+
+- `SUPERMEMORY_API_KEY` - Your Supermemory API key
+- `PROVIDER_API_KEY` - Your AI provider API key
+- `PROVIDER_NAME` - Provider name (default: "openai")
+- `PROVIDER_URL` - Custom provider URL (optional)
+- `MODEL_NAME` - Model to use (default: "gpt-4o-mini")
+- `SUPERMEMORY_BASE_URL` - Custom Supermemory base URL (optional)
+
+## Development
+
+### Setup
+
+```bash
+# Install uv
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# Clone and setup
+git clone <repository-url>
+cd packages/openai-sdk-python
+uv sync --dev
+```
+
+### Testing
+
+```bash
+# Run tests
+uv run pytest
+
+# Run with coverage
+uv run pytest --cov=supermemory_openai
+
+# Run specific test file
+uv run pytest tests/test_infinite_chat.py
+```
+
+### Type Checking
+
+```bash
+uv run mypy src/supermemory_openai
+```
+
+### Formatting
+
+```bash
+uv run black src/ tests/
+uv run isort src/ tests/
+```
+
+## License
+
+MIT License - see LICENSE file for details.
+
+## Links
+
+- [Supermemory](https://supermemory.ai) - Infinite context memory platform
+- [OpenAI Python SDK](https://github.com/openai/openai-python) - Official OpenAI Python library
+- [Documentation](https://docs.supermemory.ai) - Full API documentation
diff --git a/packages/openai-sdk-python/pyproject.toml b/packages/openai-sdk-python/pyproject.toml
new file mode 100644
index 00000000..78ea3000
--- /dev/null
+++ b/packages/openai-sdk-python/pyproject.toml
@@ -0,0 +1,96 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "supermemory-openai-sdk"
+version = "1.0.0"
+description = "OpenAI SDK utilities for supermemory"
+readme = "README.md"
+license = { text = "MIT" }
+keywords = ["openai", "supermemory", "ai", "memory"]
+classifiers = [
+ "Development Status :: 3 - Alpha",
+ "Intended Audience :: Developers",
+ "License :: OSI Approved :: MIT License",
+ "Programming Language :: Python :: 3",
+ "Programming Language :: Python :: 3.8",
+ "Programming Language :: Python :: 3.9",
+ "Programming Language :: Python :: 3.10",
+ "Programming Language :: Python :: 3.11",
+ "Programming Language :: Python :: 3.12",
+ "Topic :: Software Development :: Libraries :: Python Modules",
+ "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
+requires-python = ">=3.8.1"
+dependencies = [
+ "openai>=1.102.0",
+ "supermemory>=3.0.0a28",
+ "typing-extensions>=4.0.0",
+]
+
+[dependency-groups]
+dev = [
+ "black>=24.8.0",
+ "flake8>=7.1.2",
+ "isort>=5.13.2",
+ "mypy>=1.14.1",
+ "pytest>=8.3.5",
+ "pytest-asyncio>=0.24.0",
+ "python-dotenv>=1.0.1",
+]
+
+
+[project.urls]
+Homepage = "https://github.com/supermemoryai/supermemory"
+Repository = "https://github.com/supermemoryai/supermemory"
+Documentation = "https://docs.supermemory.ai"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src"]
+
+[tool.black]
+line-length = 88
+target-version = ['py38']
+include = '\.pyi?$'
+extend-exclude = '''
+/(
+ # directories
+ \.eggs
+ | \.git
+ | \.hg
+ | \.mypy_cache
+ | \.tox
+ | \.venv
+ | build
+ | dist
+)/
+'''
+
+[tool.isort]
+profile = "black"
+multi_line_output = 3
+line_length = 88
+
+[tool.mypy]
+python_version = "3.8"
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = true
+disallow_incomplete_defs = true
+check_untyped_defs = true
+disallow_untyped_decorators = true
+no_implicit_optional = true
+warn_redundant_casts = true
+warn_unused_ignores = true
+warn_no_return = true
+warn_unreachable = true
+strict_equality = true
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py", "*_test.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+addopts = "-v --tb=short"
+asyncio_mode = "auto"
diff --git a/packages/openai-sdk-python/src/__init__.py b/packages/openai-sdk-python/src/__init__.py
new file mode 100644
index 00000000..47a7569e
--- /dev/null
+++ b/packages/openai-sdk-python/src/__init__.py
@@ -0,0 +1,54 @@
+"""Supermemory OpenAI SDK - Enhanced OpenAI Python SDK with infinite context."""
+
+from .infinite_chat import (
+ SupermemoryOpenAI,
+ SupermemoryInfiniteChatConfig,
+ SupermemoryInfiniteChatConfigWithProviderName,
+ SupermemoryInfiniteChatConfigWithProviderUrl,
+ ProviderName,
+ PROVIDER_MAP,
+ create_supermemory_openai,
+)
+
+from .tools import (
+ SupermemoryTools,
+ SupermemoryToolsConfig,
+ MemoryObject,
+ MemorySearchResult,
+ MemoryAddResult,
+ SearchMemoriesTool,
+ AddMemoryTool,
+ MEMORY_TOOL_SCHEMAS,
+ create_supermemory_tools,
+ get_memory_tool_definitions,
+ execute_memory_tool_calls,
+ create_search_memories_tool,
+ create_add_memory_tool,
+)
+
+__version__ = "0.1.0"
+
+__all__ = [
+ # Infinite Chat
+ "SupermemoryOpenAI",
+ "SupermemoryInfiniteChatConfig",
+ "SupermemoryInfiniteChatConfigWithProviderName",
+ "SupermemoryInfiniteChatConfigWithProviderUrl",
+ "ProviderName",
+ "PROVIDER_MAP",
+ "create_supermemory_openai",
+ # Tools
+ "SupermemoryTools",
+ "SupermemoryToolsConfig",
+ "MemoryObject",
+ "MemorySearchResult",
+ "MemoryAddResult",
+ "SearchMemoriesTool",
+ "AddMemoryTool",
+ "MEMORY_TOOL_SCHEMAS",
+ "create_supermemory_tools",
+ "get_memory_tool_definitions",
+ "execute_memory_tool_calls",
+ "create_search_memories_tool",
+ "create_add_memory_tool",
+]
diff --git a/packages/openai-sdk-python/src/infinite_chat.py b/packages/openai-sdk-python/src/infinite_chat.py
new file mode 100644
index 00000000..1d3890ae
--- /dev/null
+++ b/packages/openai-sdk-python/src/infinite_chat.py
@@ -0,0 +1,268 @@
+"""Enhanced OpenAI client with Supermemory infinite context integration."""
+
+from typing import Dict, List, Optional, Union, overload, Unpack
+from typing_extensions import Literal
+
+from openai import OpenAI, AsyncStream
+from openai.types.chat import (
+ ChatCompletion,
+ ChatCompletionMessageParam,
+ ChatCompletionToolParam,
+ ChatCompletionToolChoiceOptionParam,
+ CompletionCreateParams,
+)
+
+
+# Provider URL mapping
+PROVIDER_MAP = {
+ "openai": "https://api.openai.com/v1",
+ "anthropic": "https://api.anthropic.com/v1",
+ "openrouter": "https://openrouter.ai/api/v1",
+ "deepinfra": "https://api.deepinfra.com/v1/openai",
+ "groq": "https://api.groq.com/openai/v1",
+ "google": "https://generativelanguage.googleapis.com/v1beta/openai",
+ "cloudflare": "https://gateway.ai.cloudflare.com/v1/*/unlimited-context/openai",
+}
+
+ProviderName = Literal[
+ "openai", "anthropic", "openrouter", "deepinfra", "groq", "google", "cloudflare"
+]
+
+
+class SupermemoryInfiniteChatConfigBase:
+ """Base configuration for Supermemory infinite chat."""
+
+ def __init__(
+ self,
+ provider_api_key: str,
+ headers: Optional[Dict[str, str]] = None,
+ ):
+ self.provider_api_key = provider_api_key
+ self.headers = headers or {}
+
+
+class SupermemoryInfiniteChatConfigWithProviderName(SupermemoryInfiniteChatConfigBase):
+ """Configuration using a predefined provider name."""
+
+ def __init__(
+ self,
+ provider_name: ProviderName,
+ provider_api_key: str,
+ headers: Optional[Dict[str, str]] = None,
+ ):
+ super().__init__(provider_api_key, headers)
+ self.provider_name = provider_name
+ self.provider_url: None = None
+
+
+class SupermemoryInfiniteChatConfigWithProviderUrl(SupermemoryInfiniteChatConfigBase):
+ """Configuration using a custom provider URL."""
+
+ def __init__(
+ self,
+ provider_url: str,
+ provider_api_key: str,
+ headers: Optional[Dict[str, str]] = None,
+ ):
+ super().__init__(provider_api_key, headers)
+ self.provider_url = provider_url
+ self.provider_name: None = None
+
+
+SupermemoryInfiniteChatConfig = Union[
+ SupermemoryInfiniteChatConfigWithProviderName,
+ SupermemoryInfiniteChatConfigWithProviderUrl,
+]
+
+
+class SupermemoryOpenAI(OpenAI):
+ """Enhanced OpenAI client with supermemory integration.
+
+ Only chat completions are supported - all other OpenAI API endpoints are disabled.
+ """
+
+ def __init__(
+ self,
+ supermemory_api_key: str,
+ config: Optional[SupermemoryInfiniteChatConfig] = None,
+ ):
+ """Initialize the SupermemoryOpenAI client.
+
+ Args:
+ supermemory_api_key: API key for Supermemory service
+ config: Configuration for the AI provider
+ """
+ # Determine base URL
+ if config is None:
+ base_url = "https://api.openai.com/v1"
+ api_key = None
+ headers = {}
+ elif hasattr(config, "provider_name") and config.provider_name:
+ base_url = PROVIDER_MAP[config.provider_name]
+ api_key = config.provider_api_key
+ headers = config.headers
+ else:
+ base_url = config.provider_url
+ api_key = config.provider_api_key
+ headers = config.headers
+
+ # Prepare default headers
+ default_headers = {
+ "x-supermemory-api-key": supermemory_api_key,
+ **headers,
+ }
+
+ # Initialize the parent OpenAI client
+ super().__init__(
+ api_key=api_key,
+ base_url=base_url,
+ default_headers=default_headers,
+ )
+
+ self._supermemory_api_key = supermemory_api_key
+
+ # Disable unsupported endpoints
+ self._disable_unsupported_endpoints()
+
+ def _disable_unsupported_endpoints(self) -> None:
+ """Disable all OpenAI endpoints except chat completions."""
+
+ def unsupported_error() -> None:
+ raise RuntimeError(
+ "Supermemory only supports chat completions. "
+ "Use chat_completion() or chat.completions.create() instead."
+ )
+
+ # List of endpoints to disable
+ endpoints = [
+ "embeddings",
+ "fine_tuning",
+ "images",
+ "audio",
+ "models",
+ "moderations",
+ "files",
+ "batches",
+ "uploads",
+ "beta",
+ ]
+
+ # Override endpoints with error function
+ for endpoint in endpoints:
+ setattr(self, endpoint, property(lambda self: unsupported_error()))
+
+ async def create_chat_completion(
+ self,
+ **params: Unpack[CompletionCreateParams],
+ ) -> ChatCompletion:
+ """Create chat completions with infinite context support.
+
+ Args:
+ **params: Parameters for chat completion
+
+ Returns:
+ ChatCompletion response
+ """
+ return await self.chat.completions.create(**params)
+
+ @overload
+ async def chat_completion(
+ self,
+ messages: List[ChatCompletionMessageParam],
+ *,
+ model: Optional[str] = None,
+ temperature: Optional[float] = None,
+ max_tokens: Optional[int] = None,
+ tools: Optional[List[ChatCompletionToolParam]] = None,
+ tool_choice: Optional[ChatCompletionToolChoiceOptionParam] = None,
+ stream: Literal[False] = False,
+ **kwargs: Unpack[CompletionCreateParams],
+ ) -> ChatCompletion: ...
+
+ @overload
+ async def chat_completion(
+ self,
+ messages: List[ChatCompletionMessageParam],
+ *,
+ model: Optional[str] = None,
+ temperature: Optional[float] = None,
+ max_tokens: Optional[int] = None,
+ tools: Optional[List[ChatCompletionToolParam]] = None,
+ tool_choice: Optional[ChatCompletionToolChoiceOptionParam] = None,
+ stream: Literal[True],
+ **kwargs: Unpack[CompletionCreateParams],
+ ) -> AsyncStream[ChatCompletion]: ...
+
+ async def chat_completion(
+ self,
+ messages: List[ChatCompletionMessageParam],
+ *,
+ model: Optional[str] = None,
+ temperature: Optional[float] = None,
+ max_tokens: Optional[int] = None,
+ tools: Optional[List[ChatCompletionToolParam]] = None,
+ tool_choice: Optional[ChatCompletionToolChoiceOptionParam] = None,
+ stream: bool = False,
+ **kwargs: Unpack[CompletionCreateParams],
+ ) -> Union[ChatCompletion, AsyncStream[ChatCompletion]]:
+ """Create chat completions with simplified interface.
+
+ Args:
+ messages: List of chat messages
+ model: Model to use (defaults to gpt-4o)
+ temperature: Sampling temperature
+ max_tokens: Maximum tokens to generate
+ tools: Available tools for function calling
+ tool_choice: Tool choice strategy
+ stream: Whether to stream the response
+ **kwargs: Additional parameters
+
+ Returns:
+ ChatCompletion response or stream
+ """
+ params: Dict[
+ str,
+ Union[
+ str,
+ List[ChatCompletionMessageParam],
+ List[ChatCompletionToolParam],
+ ChatCompletionToolChoiceOptionParam,
+ bool,
+ float,
+ int,
+ ],
+ ] = {
+ "model": model or "gpt-4o",
+ "messages": messages,
+ **kwargs,
+ }
+
+ # Add optional parameters if provided
+ if temperature is not None:
+ params["temperature"] = temperature
+ if max_tokens is not None:
+ params["max_tokens"] = max_tokens
+ if tools is not None:
+ params["tools"] = tools
+ if tool_choice is not None:
+ params["tool_choice"] = tool_choice
+ if stream is not None:
+ params["stream"] = stream
+
+ return await self.chat.completions.create(**params)
+
+
+def create_supermemory_openai(
+ supermemory_api_key: str,
+ config: Optional[SupermemoryInfiniteChatConfig] = None,
+) -> SupermemoryOpenAI:
+ """Helper function to create a SupermemoryOpenAI instance.
+
+ Args:
+ supermemory_api_key: API key for Supermemory service
+ config: Configuration for the AI provider
+
+ Returns:
+ SupermemoryOpenAI instance
+ """
+ return SupermemoryOpenAI(supermemory_api_key, config)
diff --git a/packages/openai-sdk-python/src/tools.py b/packages/openai-sdk-python/src/tools.py
new file mode 100644
index 00000000..6dfe3d2f
--- /dev/null
+++ b/packages/openai-sdk-python/src/tools.py
@@ -0,0 +1,366 @@
+"""Supermemory tools for OpenAI function calling."""
+
+import json
+from typing import Dict, List, Optional, Union, TypedDict
+
+from openai.types.chat import (
+ ChatCompletionMessageToolCall,
+ ChatCompletionToolMessageParam,
+ ChatCompletionToolParam,
+)
+import supermemory
+from supermemory.types import (
+ MemoryAddResponse,
+ MemoryGetResponse,
+ SearchExecuteResponse,
+)
+from supermemory.types.search_execute_response import Result
+
+
+class SupermemoryToolsConfig(TypedDict, total=False):
+ """Configuration for Supermemory tools.
+
+ Only one of `project_id` or `container_tags` can be provided.
+ """
+
+ base_url: Optional[str]
+ container_tags: Optional[List[str]]
+ project_id: Optional[str]
+
+
+# Type aliases using inferred types from supermemory package
+MemoryObject = Union[MemoryGetResponse, MemoryAddResponse]
+
+
+class MemorySearchResult(TypedDict, total=False):
+ """Result type for memory search operations."""
+
+ success: bool
+ results: Optional[List[Result]]
+ count: Optional[int]
+ error: Optional[str]
+
+
+class MemoryAddResult(TypedDict, total=False):
+ """Result type for memory add operations."""
+
+ success: bool
+ memory: Optional[MemoryAddResponse]
+ error: Optional[str]
+
+
+# Function schemas for OpenAI function calling
+MEMORY_TOOL_SCHEMAS = {
+ "search_memories": {
+ "name": "search_memories",
+ "description": (
+ "Search (recall) memories/details/information about the user or other facts or entities. Run when explicitly asked or when context about user's past choices would be helpful."
+ ),
+ "parameters": {
+ "type": "object",
+ "properties": {
+ "information_to_get": {
+ "type": "string",
+ "description": "Terms to search for in the user's memories",
+ },
+ "include_full_docs": {
+ "type": "boolean",
+ "description": (
+ "Whether to include the full document content in the response. "
+ "Defaults to true for better AI context."
+ ),
+ "default": True,
+ },
+ "limit": {
+ "type": "number",
+ "description": "Maximum number of results to return",
+ "default": 10,
+ },
+ },
+ "required": ["information_to_get"],
+ },
+ },
+ "add_memory": {
+ "name": "add_memory",
+ "description": (
+ "Add (remember) memories/details/information about the user or other facts or entities. Run when explicitly asked or when the user mentions any information generalizable beyond the context of the current conversation."
+ ),
+ "parameters": {
+ "type": "object",
+ "properties": {
+ "memory": {
+ "type": "string",
+ "description": (
+ "The text content of the memory to add. This should be a "
+ "single sentence or a short paragraph."
+ ),
+ },
+ },
+ "required": ["memory"],
+ },
+ },
+}
+
+
+class SupermemoryTools:
+ """Create memory tool handlers for OpenAI function calling."""
+
+ def __init__(self, api_key: str, config: Optional[SupermemoryToolsConfig] = None):
+ """Initialize SupermemoryTools.
+
+ Args:
+ api_key: Supermemory API key
+ config: Optional configuration
+ """
+ config = config or {}
+
+ # Initialize Supermemory client
+ client_kwargs = {"api_key": api_key}
+ if config.get("base_url"):
+ client_kwargs["base_url"] = config["base_url"]
+
+ self.client = supermemory.Supermemory(**client_kwargs)
+
+ # Set container tags
+ if config.get("project_id"):
+ self.container_tags = [f"sm_project_{config['project_id']}"]
+ elif config.get("container_tags"):
+ self.container_tags = config["container_tags"]
+ else:
+ self.container_tags = ["sm_project_default"]
+
+ def get_tool_definitions(self) -> List[ChatCompletionToolParam]:
+ """Get OpenAI function definitions for all memory tools.
+
+ Returns:
+ List of ChatCompletionToolParam definitions
+ """
+ return [
+ {"type": "function", "function": MEMORY_TOOL_SCHEMAS["search_memories"]},
+ {"type": "function", "function": MEMORY_TOOL_SCHEMAS["add_memory"]},
+ ]
+
+ async def execute_tool_call(self, tool_call: ChatCompletionMessageToolCall) -> str:
+ """Execute a tool call based on the function name and arguments.
+
+ Args:
+ tool_call: The tool call from OpenAI
+
+ Returns:
+ JSON string result
+ """
+ function_name = tool_call.function.name
+ args = json.loads(tool_call.function.arguments)
+
+ if function_name == "search_memories":
+ result = await self.search_memories(**args)
+ elif function_name == "add_memory":
+ result = await self.add_memory(**args)
+ else:
+ result = {
+ "success": False,
+ "error": f"Unknown function: {function_name}",
+ }
+
+ return json.dumps(result)
+
+ async def search_memories(
+ self,
+ information_to_get: str,
+ include_full_docs: bool = True,
+ limit: int = 10,
+ ) -> MemorySearchResult:
+ """Search memories.
+
+ Args:
+ information_to_get: Terms to search for
+ include_full_docs: Whether to include full document content
+ limit: Maximum number of results
+
+ Returns:
+ MemorySearchResult
+ """
+ try:
+ response: SearchExecuteResponse = await self.client.search.execute(
+ q=information_to_get,
+ container_tags=self.container_tags,
+ limit=limit,
+ chunk_threshold=0.6,
+ include_full_docs=include_full_docs,
+ )
+
+ return MemorySearchResult(
+ success=True,
+ results=response.results,
+ count=len(response.results),
+ )
+ except Exception as error:
+ return MemorySearchResult(
+ success=False,
+ error=str(error),
+ )
+
+ async def add_memory(self, memory: str) -> MemoryAddResult:
+ """Add a memory.
+
+ Args:
+ memory: The memory content to add
+
+ Returns:
+ MemoryAddResult
+ """
+ try:
+ metadata: Dict[str, object] = {}
+
+ add_params = {
+ "content": memory,
+ "container_tags": self.container_tags,
+ }
+ if metadata:
+ add_params["metadata"] = metadata
+
+ response: MemoryAddResponse = await self.client.memories.add(**add_params)
+
+ return MemoryAddResult(
+ success=True,
+ memory=response,
+ )
+ except Exception as error:
+ return MemoryAddResult(
+ success=False,
+ error=str(error),
+ )
+
+
+def create_supermemory_tools(
+ api_key: str, config: Optional[SupermemoryToolsConfig] = None
+) -> SupermemoryTools:
+ """Helper function to create SupermemoryTools instance.
+
+ Args:
+ api_key: Supermemory API key
+ config: Optional configuration
+
+ Returns:
+ SupermemoryTools instance
+ """
+ return SupermemoryTools(api_key, config)
+
+
+def get_memory_tool_definitions() -> List[ChatCompletionToolParam]:
+ """Get OpenAI function definitions for memory tools.
+
+ Returns:
+ List of ChatCompletionToolParam definitions
+ """
+ return [
+ {"type": "function", "function": MEMORY_TOOL_SCHEMAS["search_memories"]},
+ {"type": "function", "function": MEMORY_TOOL_SCHEMAS["add_memory"]},
+ ]
+
+
+async def execute_memory_tool_calls(
+ api_key: str,
+ tool_calls: List[ChatCompletionMessageToolCall],
+ config: Optional[SupermemoryToolsConfig] = None,
+) -> List[ChatCompletionToolMessageParam]:
+ """Execute tool calls from OpenAI function calling.
+
+ Args:
+ api_key: Supermemory API key
+ tool_calls: List of tool calls from OpenAI
+ config: Optional configuration
+
+ Returns:
+ List of tool message parameters
+ """
+ tools = SupermemoryTools(api_key, config)
+
+ async def execute_single_call(
+ tool_call: ChatCompletionMessageToolCall,
+ ) -> ChatCompletionToolMessageParam:
+ result = await tools.execute_tool_call(tool_call)
+ return ChatCompletionToolMessageParam(
+ tool_call_id=tool_call.id,
+ role="tool",
+ content=result,
+ )
+
+ # Execute all tool calls concurrently
+ import asyncio
+
+ results = await asyncio.gather(
+ *[execute_single_call(tool_call) for tool_call in tool_calls]
+ )
+
+ return results
+
+
+# Individual tool creators for more granular control
+class SearchMemoriesTool:
+ """Individual search memories tool."""
+
+ def __init__(self, api_key: str, config: Optional[SupermemoryToolsConfig] = None):
+ self.tools = SupermemoryTools(api_key, config)
+ self.definition: ChatCompletionToolParam = {
+ "type": "function",
+ "function": MEMORY_TOOL_SCHEMAS["search_memories"],
+ }
+
+ async def execute(
+ self,
+ information_to_get: str,
+ include_full_docs: bool = True,
+ limit: int = 10,
+ ) -> MemorySearchResult:
+ """Execute search memories."""
+ return await self.tools.search_memories(
+ information_to_get=information_to_get,
+ include_full_docs=include_full_docs,
+ limit=limit,
+ )
+
+
+class AddMemoryTool:
+ """Individual add memory tool."""
+
+ def __init__(self, api_key: str, config: Optional[SupermemoryToolsConfig] = None):
+ self.tools = SupermemoryTools(api_key, config)
+ self.definition: ChatCompletionToolParam = {
+ "type": "function",
+ "function": MEMORY_TOOL_SCHEMAS["add_memory"],
+ }
+
+ async def execute(self, memory: str) -> MemoryAddResult:
+ """Execute add memory."""
+ return await self.tools.add_memory(memory=memory)
+
+
+def create_search_memories_tool(
+ api_key: str, config: Optional[SupermemoryToolsConfig] = None
+) -> SearchMemoriesTool:
+ """Create individual search memories tool.
+
+ Args:
+ api_key: Supermemory API key
+ config: Optional configuration
+
+ Returns:
+ SearchMemoriesTool instance
+ """
+ return SearchMemoriesTool(api_key, config)
+
+
+def create_add_memory_tool(
+ api_key: str, config: Optional[SupermemoryToolsConfig] = None
+) -> AddMemoryTool:
+ """Create individual add memory tool.
+
+ Args:
+ api_key: Supermemory API key
+ config: Optional configuration
+
+ Returns:
+ AddMemoryTool instance
+ """
+ return AddMemoryTool(api_key, config)
diff --git a/packages/openai-sdk-python/tests/__init__.py b/packages/openai-sdk-python/tests/__init__.py
new file mode 100644
index 00000000..66173aec
--- /dev/null
+++ b/packages/openai-sdk-python/tests/__init__.py
@@ -0,0 +1 @@
+# Test package
diff --git a/packages/openai-sdk-python/tests/test_infinite_chat.py b/packages/openai-sdk-python/tests/test_infinite_chat.py
new file mode 100644
index 00000000..9fdf52c5
--- /dev/null
+++ b/packages/openai-sdk-python/tests/test_infinite_chat.py
@@ -0,0 +1,387 @@
+"""Tests for infinite_chat module."""
+
+import os
+import pytest
+from typing import List
+
+from openai.types.chat import ChatCompletionMessageParam
+from ..src import (
+ SupermemoryOpenAI,
+ SupermemoryInfiniteChatConfigWithProviderName,
+ SupermemoryInfiniteChatConfigWithProviderUrl,
+ ProviderName,
+)
+
+
+# Test configuration
+PROVIDERS: List[ProviderName] = [
+ "openai",
+ "anthropic",
+ "openrouter",
+ "deepinfra",
+ "groq",
+ "google",
+ "cloudflare",
+]
+
+
+def test_api_key() -> str:
+ """Get test Supermemory API key from environment."""
+ api_key = os.getenv("SUPERMEMORY_API_KEY")
+ if not api_key:
+ pytest.skip("SUPERMEMORY_API_KEY environment variable is required for tests")
+ return api_key
+
+
+def test_provider_api_key() -> str:
+ """Get test provider API key from environment."""
+ api_key = os.getenv("PROVIDER_API_KEY")
+ if not api_key:
+ pytest.skip("PROVIDER_API_KEY environment variable is required for tests")
+ return api_key
+
+
+def test_provider_name() -> ProviderName:
+ """Get test provider name from environment."""
+ provider_name = os.getenv("PROVIDER_NAME", "openai")
+ if provider_name not in PROVIDERS:
+ pytest.fail(f"Invalid provider name: {provider_name}")
+ return provider_name # type: ignore
+
+
+def test_provider_url() -> str:
+ """Get test provider URL from environment."""
+ return os.getenv("PROVIDER_URL", "")
+
+
+def test_model_name() -> str:
+ """Get test model name from environment."""
+ return os.getenv("MODEL_NAME", "gpt-4o-mini")
+
+
+def test_headers() -> dict:
+ """Get test headers."""
+ return {"custom-header": "test-value"}
+
+
+def test_messages() -> List[List[ChatCompletionMessageParam]]:
+ """Test message sets."""
+ return [
+ [{"role": "user", "content": "Hello!"}],
+ [
+ {"role": "system", "content": "You are a helpful assistant."},
+ {"role": "user", "content": "What is AI?"},
+ ],
+ [
+ {"role": "user", "content": "Tell me a joke"},
+ {
+ "role": "assistant",
+ "content": "Why don't scientists trust atoms? Because they make up everything!",
+ },
+ {"role": "user", "content": "Tell me another one"},
+ ],
+ ]
+
+
+class TestClientCreation:
+ """Test client creation."""
+
+ def test_create_client_with_provider_name(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ test_headers: dict,
+ ):
+ """Test creating client with provider name configuration."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers=test_headers,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ assert client is not None
+ assert client.chat is not None
+
+ def test_create_client_with_openai_provider(
+ self, test_api_key: str, test_provider_api_key: str, test_headers: dict
+ ):
+ """Test creating client with OpenAI provider configuration."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key=test_provider_api_key,
+ headers=test_headers,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ assert client is not None
+
+ def test_create_client_with_custom_provider_url(
+ self, test_api_key: str, test_provider_api_key: str, test_headers: dict
+ ):
+ """Test creating client with custom provider URL."""
+ custom_url = "https://custom-provider.com/v1"
+ config = SupermemoryInfiniteChatConfigWithProviderUrl(
+ provider_url=custom_url,
+ provider_api_key=test_provider_api_key,
+ headers=test_headers,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ assert client is not None
+
+
+class TestChatCompletions:
+ """Test chat completions functionality."""
+
+ @pytest.mark.asyncio
+ async def test_create_chat_completion_simple_message(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ test_model_name: str,
+ test_messages: List[List[ChatCompletionMessageParam]],
+ ):
+ """Test creating chat completion with simple message."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers={},
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ result = await client.create_chat_completion(
+ model=test_model_name,
+ messages=test_messages[0], # "Hello!"
+ )
+
+ assert result is not None
+ assert hasattr(result, "choices")
+ assert len(result.choices) > 0
+ assert result.choices[0].message.content is not None
+
+ @pytest.mark.asyncio
+ async def test_chat_completion_convenience_method(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ test_model_name: str,
+ test_messages: List[List[ChatCompletionMessageParam]],
+ ):
+ """Test chat completion using convenience method."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers={},
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ result = await client.chat_completion(
+ messages=test_messages[1], # System + user messages
+ model=test_model_name,
+ temperature=0.7,
+ )
+
+ assert result is not None
+ assert hasattr(result, "choices")
+ assert len(result.choices) > 0
+ assert result.choices[0].message.content is not None
+
+ @pytest.mark.asyncio
+ async def test_handle_conversation_history(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ test_model_name: str,
+ test_messages: List[List[ChatCompletionMessageParam]],
+ ):
+ """Test handling conversation history."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers={},
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ result = await client.chat_completion(
+ messages=test_messages[2], # Multi-turn conversation
+ model=test_model_name,
+ )
+
+ assert result is not None
+ assert hasattr(result, "choices")
+ assert len(result.choices) > 0
+ assert result.choices[0].message.content is not None
+
+ @pytest.mark.asyncio
+ async def test_custom_headers(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ test_model_name: str,
+ ):
+ """Test working with custom headers."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers={"x-custom-header": "test-value"},
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ result = await client.chat_completion(
+ messages=[{"role": "user", "content": "Hello"}],
+ model=test_model_name,
+ )
+
+ assert result is not None
+ assert hasattr(result, "choices")
+
+
+class TestConfigurationValidation:
+ """Test configuration validation."""
+
+ def test_handle_empty_headers_object(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ ):
+ """Test handling empty headers object."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ headers={},
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ assert client is not None
+
+ def test_handle_configuration_without_headers(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_provider_name: ProviderName,
+ ):
+ """Test handling configuration without headers."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name=test_provider_name,
+ provider_api_key=test_provider_api_key,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ assert client is not None
+
+ def test_handle_different_api_keys(self):
+ """Test handling different API keys."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key="different-provider-key",
+ )
+
+ client = SupermemoryOpenAI("different-sm-key", config)
+
+ assert client is not None
+
+
+class TestDisabledEndpoints:
+ """Test that non-chat endpoints are disabled."""
+
+ def test_disabled_endpoints_throw_errors(
+ self, test_api_key: str, test_provider_api_key: str
+ ):
+ """Test that all disabled endpoints throw appropriate errors."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key=test_provider_api_key,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ # Test that all disabled endpoints throw appropriate errors
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.embeddings
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.fine_tuning
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.images
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.audio
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.models
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.moderations
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.files
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.batches
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.uploads
+
+ with pytest.raises(
+ RuntimeError, match="Supermemory only supports chat completions"
+ ):
+ _ = client.beta
+
+ def test_chat_completions_still_work(
+ self, test_api_key: str, test_provider_api_key: str
+ ):
+ """Test that chat completions still work after disabling other endpoints."""
+ config = SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key=test_provider_api_key,
+ )
+
+ client = SupermemoryOpenAI(test_api_key, config)
+
+ # Chat completions should still be accessible
+ assert client.chat is not None
+ assert client.chat.completions is not None
+ assert callable(client.create_chat_completion)
+ assert callable(client.chat_completion)
diff --git a/packages/openai-sdk-python/tests/test_tools.py b/packages/openai-sdk-python/tests/test_tools.py
new file mode 100644
index 00000000..835622c7
--- /dev/null
+++ b/packages/openai-sdk-python/tests/test_tools.py
@@ -0,0 +1,350 @@
+"""Tests for tools module."""
+
+import os
+import pytest
+import json
+from typing import List
+
+from openai.types.chat import ChatCompletionMessageToolCall
+from ..src import (
+ SupermemoryTools,
+ SupermemoryToolsConfig,
+ SupermemoryOpenAI,
+ SupermemoryInfiniteChatConfigWithProviderName,
+ create_supermemory_tools,
+ get_memory_tool_definitions,
+ execute_memory_tool_calls,
+ create_search_memories_tool,
+ create_add_memory_tool,
+)
+
+
+def test_api_key() -> str:
+ """Get test Supermemory API key from environment."""
+ api_key = os.getenv("SUPERMEMORY_API_KEY")
+ if not api_key:
+ pytest.skip("SUPERMEMORY_API_KEY environment variable is required for tests")
+ return api_key
+
+
+def test_provider_api_key() -> str:
+ """Get test provider API key from environment."""
+ api_key = os.getenv("PROVIDER_API_KEY")
+ if not api_key:
+ pytest.skip("PROVIDER_API_KEY environment variable is required for tests")
+ return api_key
+
+
+def test_base_url() -> str:
+ """Get test base URL from environment."""
+ return os.getenv("SUPERMEMORY_BASE_URL", "")
+
+
+def test_model_name() -> str:
+ """Get test model name from environment."""
+ return os.getenv("MODEL_NAME", "gpt-4o-mini")
+
+
+class TestToolInitialization:
+ """Test tool initialization."""
+
+ def test_create_tools_with_default_configuration(self, test_api_key: str):
+ """Test creating tools with default configuration."""
+ config: SupermemoryToolsConfig = {}
+ tools = SupermemoryTools(test_api_key, config)
+
+ assert tools is not None
+ assert tools.get_tool_definitions() is not None
+ assert len(tools.get_tool_definitions()) == 3
+
+ def test_create_tools_with_helper(self, test_api_key: str):
+ """Test creating tools with createSupermemoryTools helper."""
+ tools = create_supermemory_tools(
+ test_api_key,
+ {
+ "project_id": "test-project",
+ },
+ )
+
+ assert tools is not None
+ assert tools.get_tool_definitions() is not None
+
+ def test_create_tools_with_custom_base_url(
+ self, test_api_key: str, test_base_url: str
+ ):
+ """Test creating tools with custom baseUrl."""
+ if not test_base_url:
+ pytest.skip("SUPERMEMORY_BASE_URL not provided")
+
+ config: SupermemoryToolsConfig = {
+ "base_url": test_base_url,
+ }
+ tools = SupermemoryTools(test_api_key, config)
+
+ assert tools is not None
+ assert len(tools.get_tool_definitions()) == 3
+
+ def test_create_tools_with_project_id(self, test_api_key: str):
+ """Test creating tools with projectId configuration."""
+ config: SupermemoryToolsConfig = {
+ "project_id": "test-project-123",
+ }
+ tools = SupermemoryTools(test_api_key, config)
+
+ assert tools is not None
+ assert len(tools.get_tool_definitions()) == 3
+
+ def test_create_tools_with_custom_container_tags(self, test_api_key: str):
+ """Test creating tools with custom container tags."""
+ config: SupermemoryToolsConfig = {
+ "container_tags": ["custom-tag-1", "custom-tag-2"],
+ }
+ tools = SupermemoryTools(test_api_key, config)
+
+ assert tools is not None
+ assert len(tools.get_tool_definitions()) == 3
+
+
+class TestToolDefinitions:
+ """Test tool definitions."""
+
+ def test_return_proper_openai_function_definitions(self):
+ """Test returning proper OpenAI function definitions."""
+ definitions = get_memory_tool_definitions()
+
+ assert definitions is not None
+ assert len(definitions) == 3
+
+ # Check searchMemories
+ search_tool = next(
+ (d for d in definitions if d["function"]["name"] == "search_memories"), None
+ )
+ assert search_tool is not None
+ assert search_tool["type"] == "function"
+ assert "information_to_get" in search_tool["function"]["parameters"]["required"]
+
+ # Check addMemory
+ add_tool = next(
+ (d for d in definitions if d["function"]["name"] == "add_memory"), None
+ )
+ assert add_tool is not None
+ assert add_tool["type"] == "function"
+ assert "memory" in add_tool["function"]["parameters"]["required"]
+
+ def test_consistent_tool_definitions_from_class_and_helper(self, test_api_key: str):
+ """Test that tool definitions are consistent between class and helper."""
+ tools = SupermemoryTools(test_api_key)
+ class_definitions = tools.get_tool_definitions()
+ helper_definitions = get_memory_tool_definitions()
+
+ assert class_definitions == helper_definitions
+
+
+class TestMemoryOperations:
+ """Test memory operations."""
+
+ @pytest.mark.asyncio
+ async def test_search_memories(self, test_api_key: str, test_base_url: str):
+ """Test searching memories."""
+ config: SupermemoryToolsConfig = {
+ "project_id": "test-search",
+ }
+ if test_base_url:
+ config["base_url"] = test_base_url
+
+ tools = SupermemoryTools(test_api_key, config)
+
+ result = await tools.search_memories(
+ information_to_get="test preferences",
+ limit=5,
+ )
+
+ assert result is not None
+ assert "success" in result
+ assert isinstance(result["success"], bool)
+
+ if result["success"]:
+ assert "results" in result
+ assert "count" in result
+ assert isinstance(result["count"], int)
+ else:
+ assert "error" in result
+
+ @pytest.mark.asyncio
+ async def test_add_memory(self, test_api_key: str, test_base_url: str):
+ """Test adding memory."""
+ config: SupermemoryToolsConfig = {
+ "container_tags": ["test-add-memory"],
+ }
+ if test_base_url:
+ config["base_url"] = test_base_url
+
+ tools = SupermemoryTools(test_api_key, config)
+
+ result = await tools.add_memory(
+ memory="User prefers dark roast coffee in the morning - test memory"
+ )
+
+ assert result is not None
+ assert "success" in result
+ assert isinstance(result["success"], bool)
+
+ if result["success"]:
+ assert "memory" in result
+ else:
+ assert "error" in result
+
+
+class TestIndividualToolCreators:
+ """Test individual tool creators."""
+
+ def test_create_individual_search_tool(self, test_api_key: str):
+ """Test creating individual search tool."""
+ search_tool = create_search_memories_tool(
+ test_api_key,
+ {
+ "project_id": "test-individual",
+ },
+ )
+
+ assert search_tool is not None
+ assert search_tool.definition is not None
+ assert callable(search_tool.execute)
+ assert search_tool.definition["function"]["name"] == "search_memories"
+
+ def test_create_individual_add_tool(self, test_api_key: str):
+ """Test creating individual add tool."""
+ add_tool = create_add_memory_tool(
+ test_api_key,
+ {
+ "project_id": "test-individual",
+ },
+ )
+
+ assert add_tool is not None
+ assert add_tool.definition is not None
+ assert callable(add_tool.execute)
+ assert add_tool.definition["function"]["name"] == "add_memory"
+
+
+class TestOpenAIIntegration:
+ """Test OpenAI integration."""
+
+ @pytest.mark.asyncio
+ async def test_work_with_supermemory_openai_for_function_calling(
+ self,
+ test_api_key: str,
+ test_provider_api_key: str,
+ test_model_name: str,
+ test_base_url: str,
+ ):
+ """Test working with SupermemoryOpenAI for function calling."""
+ client = SupermemoryOpenAI(
+ test_api_key,
+ SupermemoryInfiniteChatConfigWithProviderName(
+ provider_name="openai",
+ provider_api_key=test_provider_api_key,
+ ),
+ )
+
+ tools_config: SupermemoryToolsConfig = {
+ "project_id": "test-openai-integration",
+ }
+ if test_base_url:
+ tools_config["base_url"] = test_base_url
+
+ tools = SupermemoryTools(test_api_key, tools_config)
+
+ response = await client.chat_completion(
+ messages=[
+ {
+ "role": "system",
+ "content": (
+ "You are a helpful assistant with access to user memories. "
+ "When the user asks you to remember something, use the add_memory tool."
+ ),
+ },
+ {
+ "role": "user",
+ "content": "Please remember that I prefer tea over coffee",
+ },
+ ],
+ model=test_model_name,
+ tools=tools.get_tool_definitions(),
+ )
+
+ assert response is not None
+ assert hasattr(response, "choices")
+
+ choice = response.choices[0]
+ assert choice.message is not None
+
+ # If the model decided to use function calling, test the execution
+ if hasattr(choice.message, "tool_calls") and choice.message.tool_calls:
+ tool_results = await execute_memory_tool_calls(
+ test_api_key,
+ choice.message.tool_calls,
+ tools_config,
+ )
+
+ assert tool_results is not None
+ assert len(tool_results) == len(choice.message.tool_calls)
+
+ for result in tool_results:
+ assert result["role"] == "tool"
+ assert "content" in result
+ assert "tool_call_id" in result
+
+ @pytest.mark.asyncio
+ async def test_handle_multiple_tool_calls(
+ self, test_api_key: str, test_base_url: str
+ ):
+ """Test handling multiple tool calls."""
+ tools_config: SupermemoryToolsConfig = {
+ "container_tags": ["test-multi-tools"],
+ }
+ if test_base_url:
+ tools_config["base_url"] = test_base_url
+
+ # Simulate tool calls (normally these would come from OpenAI)
+ mock_tool_calls: List[ChatCompletionMessageToolCall] = [
+ ChatCompletionMessageToolCall(
+ id="call_1",
+ type="function",
+ function={
+ "name": "search_memories",
+ "arguments": json.dumps({"information_to_get": "preferences"}),
+ },
+ ),
+ ChatCompletionMessageToolCall(
+ id="call_2",
+ type="function",
+ function={
+ "name": "add_memory",
+ "arguments": json.dumps(
+ {"memory": "Test memory for multiple calls"}
+ ),
+ },
+ ),
+ ]
+
+ results = await execute_memory_tool_calls(
+ test_api_key, mock_tool_calls, tools_config
+ )
+
+ assert results is not None
+ assert len(results) == 2
+
+ assert results[0]["tool_call_id"] == "call_1"
+ assert results[1]["tool_call_id"] == "call_2"
+
+ for result in results:
+ assert result["role"] == "tool"
+ assert "content" in result
+
+ content = json.loads(result["content"])
+ assert "success" in content
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