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Principle:OpenHands OpenHands Token Refresh

From Leeroopedia
Knowledge Sources
Domains Distributed_Systems, Conversation_Management
Last Updated 2026-02-11 21:00 GMT

Overview

Token refresh is the practice of proactively renewing authentication credentials before they expire, ensuring that long-running agent conversations never encounter stale or revoked tokens mid-execution.

Description

Agent conversations in a SaaS environment rely on third-party provider tokens (OAuth tokens, API keys with expiration, short-lived JWTs) to access LLM APIs, Git hosting services, and other integrations. These tokens have finite lifetimes -- often measured in minutes to hours. A conversation that runs longer than the token's validity window will fail at an unpredictable point unless the system proactively refreshes credentials.

Token refresh addresses this by:

  • Proactive renewal -- Refreshing tokens before they expire, rather than reacting to 401/403 errors at call time.
  • Atomic replacement -- Swapping the old token for the new one in a way that in-flight requests using the old token can still complete.
  • Scope preservation -- Ensuring the refreshed token retains the same scopes and permissions as the original.
  • Persistence -- Storing the refreshed token so that conversation resumption after a node failover uses the latest credentials.

Usage

Use token refresh:

  • Immediately after provisioning a runtime but before injecting credentials into it.
  • Periodically during long-running conversations if the provider supports refresh tokens.
  • Before replaying a conversation that was suspended and may have stale saved credentials.

Theoretical Basis

Token refresh follows the sliding window renewal pattern: at each renewal point, the system obtains a new token and advances the expiration window forward.

Pseudocode:

function refresh_provider_tokens(settings, conversation_id, user_id):
    refreshed_settings = copy(settings)

    for provider_name, token in settings.provider_tokens.items():
        if token.is_expired() or token.expires_within(REFRESH_THRESHOLD):
            # Obtain a fresh token using the refresh token
            new_token = token_manager.refresh(
                provider=provider_name,
                refresh_token=token.refresh_token,
                user_id=user_id,
            )

            # Validate the new token
            validate_token_scopes(new_token, required_scopes=token.scopes)

            # Replace in settings
            refreshed_settings.provider_tokens[provider_name] = new_token

            # Persist for durability across failovers
            persist_token(conversation_id, provider_name, new_token)

    return refreshed_settings

Key invariants:

  • No silent failures -- If a token cannot be refreshed (refresh token revoked, provider down), the system must raise an explicit error rather than proceeding with stale credentials.
  • Idempotency -- Refreshing an already-fresh token is a no-op; the system checks expiration before attempting renewal.
  • Confidentiality -- Tokens are treated as secrets (wrapped in SecretStr or equivalent) and never logged in plaintext.

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