hivetrace 1.1.5

Hivetrace SDK for monitoring LLM applications

Hivetrace SDK

Description Hivetrace SDK is designed for integration with the Hivetrace service, providing monitoring of user prompts and LLM responses.

Installation Install the SDK via pip:

pip install hivetrace

Usage

from hivetrace.hivetrace import HivetraceSDK

Initialize the SDK

hivetrace = HivetraceSDK()

Send a user prompt

response = hivetrace.input(
    application_id="your-application-id", # get after registering the application in the UI
    message="User prompt here"
)

Send a response from your LLM

response = hivetrace.output(
    application_id="your-application-id", # get after registering the application in the UI
    message="LLM response here"
)

Example with additional parameters

response = hivetrace.input(
    application_id="your-application-id",
    message="User prompt here",
    additional_parameters={
        "session_id": "your-session-id",
        "user_id": "your-user-id",
        "agents": {
            "agent-1-id": {"name": "Agent 1", "description": "Agent description"},
            "agent-2-id": {"name": "Agent 2"},
            "agent-3-id": {}
        }
    }
)

Send a function call

response = hivetrace.function_call(
    application_id="your-application-id",
    tool_call_id="your-tool-call-id", # get id from LLM tool_calls/function_calls
    func_name="your_funcion",
    func_args="{'param': value}",
    func_result="{'result': values}", # nullable
    addtional_parameters=...
)

Synchronous and Asynchronous Modes

Hivetrace SDK supports both synchronous and asynchronous execution modes.

Initialization with Sync/Async Mode

By default, the SDK operates in asynchronous mode. You can explicitly specify the mode during initialization:

# Async mode (default)
hivetrace = HivetraceSDK(async_mode=True)

# Sync mode
hivetrace = HivetraceSDK(async_mode=False)

Sending Requests in Async Mode

When using async mode, ensure you call the SDK methods inside an async function:

import asyncio

async def main():
    hivetrace = HivetraceSDK(async_mode=True)
    response = await hivetrace.input(
        application_id="your-application-id",
        message="User prompt here"
    )
    print(response)
    await hivetrace.close()

asyncio.run(main())

Sending Requests in Sync Mode

If you prefer synchronous execution, you can call the SDK methods normally:

hivetrace = HivetraceSDK(async_mode=False)
response = hivetrace.input(
    application_id="your-application-id",
    message="User prompt here"
)
print(response)

Closing the Async Client

If you're using async mode, remember to close the session when done:

await hivetrace.close()

API

input(application_id: str, message: str, additional_parameters: dict = None) -> dict

Sends a user prompt to Hivetrace.

• application_id - Application identifier (must be a valid UUID, created in the UI)
• message - User prompt
• additional_parameters - Dictionary of additional parameters (optional)

Response Example:

{
    "status": "processed",
    "monitoring_result": {
        "is_toxic": false,
        "type_of_violation": "benign",
        "token_count": 9,
        "token_usage_warning": false,
        "token_usage_unbounded": false
    }
}

output(application_id: str, message: str, additional_parameters: dict = None) -> dict

Sends an LLM response to Hivetrace.

• application_id - Application identifier (must be a valid UUID, created in the UI)
• message - LLM response
• additional_parameters - Dictionary of additional parameters (optional)

Response Example:

{
    "status": "processed",
    "monitoring_result": {
        "is_toxic": false,
        "type_of_violation": "safe",
        "token_count": 21,
        "token_usage_warning": false,
        "token_usage_unbounded": false
    }
}

function_call(application_id: str, tool_call_id: str, func_name: str, func_args: str, func_result: Optional[str], additional_parameters: dict = None) -> dict

Sends a function call to Hivetrace.

• application_id - Application identifier (must be a valid UUID, created in the UI)
• tool_call_id - Identifier of function call returned by LLM API
• func_name - Name of function
• func_args - Arguments for function execution returned by LLM API
• func_result - Result of function execution (optional)
• additional_parameters - Dictionary of additional parameters (optional)

Response Example:

{
    "status": "processed",
    "monitoring_result": "PASS"
}

Configuration

The SDK loads configuration from environment variables. The allowed domain (HIVETRACE_URL) and access token (HIVETRACE_ACCESS_TOKEN) are automatically retrieved from the environment.

Configuration Sources

Hivetrace SDK can retrieve the configuration from the following sources:

.env File:

HIVETRACE_URL=https://your-hivetrace-instance.com
HIVETRACE_ACCESS_TOKEN=your-access-token

The SDK will automatically load this.

License

This project is licensed under the Apache License 2.0.