

OpenFn/adaptors (2026-01) delivered a set of focused enhancements that improve data access scalability, API flexibility, and developer experience, while tightening code quality and documentation. Key features were implemented with accompanying tests to ensure reliability and future maintainability. The changes reduce integration friction, enable efficient handling of large datasets, and provide clearer guidance for consumers of the API.
OpenFn/adaptors (2026-01) delivered a set of focused enhancements that improve data access scalability, API flexibility, and developer experience, while tightening code quality and documentation. Key features were implemented with accompanying tests to ensure reliability and future maintainability. The changes reduce integration friction, enable efficient handling of large datasets, and provide clearer guidance for consumers of the API.
December 2025: Delivered a major enhancement to the OpenFn/adaptors Monnify API Client, focusing on secure configuration, resilient token management, and scalable pagination. Implemented automatic pagination to fetch all pages when pagination parameters are not provided, with validation to cap pageSize at 1000. Refactored token handling to write the access token to state, improving security and reliability. Cleaned up request options, updated config schema, and refined tests and test interceptors to better reflect real-world usage. These changes reduced integration friction, improved reliability for Monnify interactions, and laid groundwork for future API coverage and documentation improvements.
December 2025: Delivered a major enhancement to the OpenFn/adaptors Monnify API Client, focusing on secure configuration, resilient token management, and scalable pagination. Implemented automatic pagination to fetch all pages when pagination parameters are not provided, with validation to cap pageSize at 1000. Refactored token handling to write the access token to state, improving security and reliability. Cleaned up request options, updated config schema, and refined tests and test interceptors to better reflect real-world usage. These changes reduced integration friction, improved reliability for Monnify interactions, and laid groundwork for future API coverage and documentation improvements.
November 2025 monthly summary for OpenFn/adaptors focusing on delivering robust authentication options, expanding external API integration, and improving header handling to strengthen reliability and business value. The month included two major features, targeted bug fixes, and comprehensive tests and dependency updates, enabling smoother deployments and broader integration capabilities.
November 2025 monthly summary for OpenFn/adaptors focusing on delivering robust authentication options, expanding external API integration, and improving header handling to strengthen reliability and business value. The month included two major features, targeted bug fixes, and comprehensive tests and dependency updates, enabling smoother deployments and broader integration capabilities.
OpenFn/adaptors - 2025-08 Monthly Summary: Focused on delivering data interoperability and upload reliability enhancements for the language-surveycto integration. Implemented a JSON-to-CSV buffer utility (via xlsx) and expanded request handling to support form-based payloads, enabling FormData uploads. Introduced a dedicated FormData utility and a JSON-to-CSV conversion helper to streamline data manipulation within the language-surveycto package. These changes improve data extraction, simplify large payload uploads, and lay groundwork for broader external survey integrations.
OpenFn/adaptors - 2025-08 Monthly Summary: Focused on delivering data interoperability and upload reliability enhancements for the language-surveycto integration. Implemented a JSON-to-CSV buffer utility (via xlsx) and expanded request handling to support form-based payloads, enabling FormData uploads. Introduced a dedicated FormData utility and a JSON-to-CSV conversion helper to streamline data manipulation within the language-surveycto package. These changes improve data extraction, simplify large payload uploads, and lay groundwork for broader external survey integrations.
April 2025 performance summary for OpenFn/adaptors: Focused code hygiene in the M-Pesa adaptor tests by removing a commented-out base URL, improving test clarity and maintainability without altering behavior. The change was committed with a single change-set that eliminates dead configuration and reduces future confusion.
April 2025 performance summary for OpenFn/adaptors: Focused code hygiene in the M-Pesa adaptor tests by removing a commented-out base URL, improving test clarity and maintainability without altering behavior. The change was committed with a single change-set that eliminates dead configuration and reduces future confusion.
March 2025 performance summary for OpenFn/adaptors. The month established a solid foundation, expanded integration capabilities, and improved reliability and release readiness, delivering clear business value for production deployments and onboarding of new adapters. Key infrastructure and project groundwork were laid, followed by quality improvements that reduce risk and accelerate iteration cycles. The team also advanced context handling and observability to enable better decision-making and faster debugging. What was delivered: - Project scaffolding and repository setup to enable scalable feature work and consistent development practices. - Testing framework and a mock adaptor client to validate behaviour in isolation. - Release engineering improvements with changeset-based versioning and updated release notes, supported by documentation updates. - Expanded integration surface with new adapters (DIVOC, OpenBoxes, Mpesa) and ongoing branding updates. - Performance, context, and observability enhancements including import optimization, AI model version updates, prompt reference expansion for GPT/Claude, enhanced tagging for function metadata, extensive logging improvements, and configuration schema defaults for robustness. Impact: - Reduced onboarding time for new adapters, faster and safer releases, and improved operational visibility. - Increased system reliability and performance, with clearer release notes and better context handling for downstream consumers. - Broader integration capabilities enabling diverse workflows and partner integrations.
March 2025 performance summary for OpenFn/adaptors. The month established a solid foundation, expanded integration capabilities, and improved reliability and release readiness, delivering clear business value for production deployments and onboarding of new adapters. Key infrastructure and project groundwork were laid, followed by quality improvements that reduce risk and accelerate iteration cycles. The team also advanced context handling and observability to enable better decision-making and faster debugging. What was delivered: - Project scaffolding and repository setup to enable scalable feature work and consistent development practices. - Testing framework and a mock adaptor client to validate behaviour in isolation. - Release engineering improvements with changeset-based versioning and updated release notes, supported by documentation updates. - Expanded integration surface with new adapters (DIVOC, OpenBoxes, Mpesa) and ongoing branding updates. - Performance, context, and observability enhancements including import optimization, AI model version updates, prompt reference expansion for GPT/Claude, enhanced tagging for function metadata, extensive logging improvements, and configuration schema defaults for robustness. Impact: - Reduced onboarding time for new adapters, faster and safer releases, and improved operational visibility. - Increased system reliability and performance, with clearer release notes and better context handling for downstream consumers. - Broader integration capabilities enabling diverse workflows and partner integrations.
January 2025 performance summary for OpenFn/adaptors focusing on authentication, data handling, and API robustness to improve security, developer experience, and reliability across the adaptor. Highlights include PAT-based auth, enhanced error handling, improved encoding/decoding, and HTTP client API refinements with comprehensive test coverage and documentation updates.
January 2025 performance summary for OpenFn/adaptors focusing on authentication, data handling, and API robustness to improve security, developer experience, and reliability across the adaptor. Highlights include PAT-based auth, enhanced error handling, improved encoding/decoding, and HTTP client API refinements with comprehensive test coverage and documentation updates.
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