Implement LRU Caching for OpenID Configuration Discovery

[devin-ai-integration]

Implement LRU Caching for OpenID Configuration Discovery

Summary

Optimizes the get_discovery_doc function by adding LRU caching to eliminate redundant HTTP requests to .well-known/openid_configuration endpoints. Since OpenID configuration is stable and rarely changes, this reduces latency and potential failure points when creating multiple AuthClient instances.

Key Changes:

• Added @lru_cache(maxsize=128) decorator to get_discovery_doc function
• Removed session parameter - function now always uses requests.get directly
• Updated AuthClient.__init__ to call function without session parameter
• Fixed test that was affected by cache interference with mocking

Review & Testing Checklist for Human

High Priority (3 items):

• Verify caching works: Create multiple AuthClient instances with same environment and confirm only one HTTP request is made to discovery endpoint
• Test environment isolation: Confirm that 'sandbox' and 'production' environments are cached separately
• Run full test suite: Ensure no other tests have cache interference issues similar to the one fixed

Notes

• LRU cache is thread-safe per Python documentation
• Cache size of 128 should handle typical usage patterns (few environments × occasional cache eviction)
• Previous session reuse for connection pooling is lost, but mitigated by caching the entire response
• Cache will persist until process restart or manual clearing - discovery endpoint changes won't be picked up automatically

Link to Devin run: https://app.devin.ai/sessions/b279b98117be48f9b5f30414a34ea9ea
Requested by: @abhay-codeium

[devin-ai-integration]

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