
Worked on the anthropics/claude-agent-sdk-python repository to deliver a configurable timeout feature for the Query initialization process, addressing the need to support slower MCP server startups without causing query failures. The solution introduced an environment variable, CLAUDE_CODE_STREAM_CLOSE_TIMEOUT, allowing users to override the default 60-second timeout in milliseconds, thereby enhancing reliability in production environments. This feature was implemented using Python and focused on robust configuration management and backend development practices. The approach maintained backward compatibility and minimized surface changes, demonstrating careful attention to integration stability and environment-driven configuration patterns. No major bugs were fixed during this period.
November 2025 monthly summary for anthropics/claude-agent-sdk-python: Delivered a configurable timeout for the Query initialization process to accommodate slower MCP server startups without failing query setup. The new behavior is controlled by the CLAUDE_CODE_STREAM_CLOSE_TIMEOUT environment variable (milliseconds) with a default of 60 seconds to preserve backward compatibility. This feature was implemented in commit 41ceacd8076a86e6a4ada503ce5c87ddde97216a (#354). Overall, the change improves reliability and resilience in production integrations, reducing query-timeouts when backends initialize slowly, and demonstrates strength in Python configuration patterns and environment-driven behavior. No other major bugs fixed this month.
November 2025 monthly summary for anthropics/claude-agent-sdk-python: Delivered a configurable timeout for the Query initialization process to accommodate slower MCP server startups without failing query setup. The new behavior is controlled by the CLAUDE_CODE_STREAM_CLOSE_TIMEOUT environment variable (milliseconds) with a default of 60 seconds to preserve backward compatibility. This feature was implemented in commit 41ceacd8076a86e6a4ada503ce5c87ddde97216a (#354). Overall, the change improves reliability and resilience in production integrations, reducing query-timeouts when backends initialize slowly, and demonstrates strength in Python configuration patterns and environment-driven behavior. No other major bugs fixed this month.

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