Sessions

Session & SessionManager

In subnets that support client access (e.g., for inference or external applications), the Session and SessionManager classes form the foundation of client-to-node communication.

They abstract away routing, retries, and authorization logic — allowing external users or services to interact with the subnet as a consumer.

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Session: Stateful Interaction with a Peer Node

The Session class represents a single communication session with a remote subnet node, typically a hoster that performs inference or another application-level task.

Key Responsibilities:

• Selects a node from the routing manager

• Authenticates and connects via the selected protocol (e.g., MockProtocol)

• Calls rpc_* methods, like rpc_inference_stream

• Handles retries, failures, and fallback logic

• Yields responses asynchronously (e.g., streaming outputs)

Highlights:

session = Session(remote_manager, authorizer)

async for tensor in session.run_protocol_task(prompt, tensor):
    # use streamed inference output

• Automatically retries on failure

• Uses RemoteManager to keep a dynamic list of available nodes

• Allows custom authorization via AuthorizerBase

• Streams data using AsyncIterator (e.g., token-by-token inference)

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SessionManager: Lightweight Factory

The SessionManager is a stateless factory that produces Session objects on demand via a context manager.

Why It Exists:

• Cleanly manages the lifecycle of a session

• Automatically handles session closure (await session.close())

• Supports async with syntax for resource management

Example Usage:

session_manager = SessionManager(remote_manager, authorizer)

async with session_manager.session() as session:
    async for tensor in session.run_protocol_task(prompt, tensor):
        # process inference stream

🔒 The SessionManager does not track session history or state across sessions — it simply builds isolated Session objects as needed.

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🔐 Built-in Features

Feature	Session	SessionManager
Node routing	✅ via RemoteManager	🔁 passed in
Retry logic	✅ automatic retries	–
Auth integration	✅ optional AuthorizerBase	passed down
Streaming support	✅ async tensor stream	–
Resource cleanup	✅ close() method	✅ via context manager
Stateless reuse	–	✅ creates fresh sessions

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Summary

Class	Purpose
Session	A single, stateful interaction with a chosen node
SessionManager	A lightweight factory that spawns new sessions

Together, they allow clients to interact with the subnet in a clean, secure, and fault-tolerant way — ideal for inference requests, chat interfaces, or real-time applications.