
Developed a configurable metrics port feature for the archestra-ai/archestra repository, addressing port collision issues during local development and deployment. The solution introduced an environment variable, ARCHESTRA_METRICS_PORT, allowing dynamic port assignment while maintaining backward compatibility by defaulting to port 9050. The implementation followed established configuration parsing patterns for consistency and included thorough validation and testing to ensure reliability. By enabling flexible port selection, the work reduced operational friction and improved service coexistence, particularly in environments where other services, such as the Tor SOCKS proxy, might conflict. The project utilized TypeScript and emphasized backend development and configuration management best practices.
In May 2026, delivered a configurable metrics port to reduce port collisions with other services, while preserving backward compatibility. Implemented environment-based port selection (ARCHESTRA_METRICS_PORT) with validation and tests, following existing config patterns. This improves deploy and local development reliability, enabling smoother service coexistence and reduced operational friction.
In May 2026, delivered a configurable metrics port to reduce port collisions with other services, while preserving backward compatibility. Implemented environment-based port selection (ARCHESTRA_METRICS_PORT) with validation and tests, following existing config patterns. This improves deploy and local development reliability, enabling smoother service coexistence and reduced operational friction.

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