
Manas Narra contributed to juspay/clairvoyance by building and enhancing backend systems focused on observability, analytics, and voice agent flexibility. He implemented centralized logging and tracing using Python and OpenTelemetry, enabling end-to-end traceability and improved debugging. Manas integrated multi-provider speech-to-text support, including AssemblyAI, OpenAI, Deepgram, and Soniox, with dynamic selection and robust language handling. He also developed session-based analytics and introduced configurable audio feedback for tool processing, improving both reliability and user experience. Additionally, he addressed critical bugs in offer management, such as currency handling, demonstrating depth in backend development, API integration, and configuration management throughout his work.
October 2025 monthly summary for juspay/clairvoyance: Delivered a critical currency handling bug fix in the Update Offer flow. Fixed an issue where the update offer tool could fail due to an incorrect currency payload by defaulting currency to INR, ensuring correct operation with the expected currency across offers. This change, implemented in commit 82f7c0fab33a8b8b31b34a9a0a65a9040326ee76, improves pricing accuracy and reduces production risk in multi-currency scenarios.
October 2025 monthly summary for juspay/clairvoyance: Delivered a critical currency handling bug fix in the Update Offer flow. Fixed an issue where the update offer tool could fail due to an incorrect currency payload by defaulting currency to INR, ensuring correct operation with the expected currency across offers. This change, implemented in commit 82f7c0fab33a8b8b31b34a9a0a65a9040326ee76, improves pricing accuracy and reduces production risk in multi-currency scenarios.
September 2025 monthly summary: Delivered targeted enhancements to STT flexibility and UX feedback for clairvoyance, with a focus on business value and deployment resilience. Implemented multi-provider STT support (OpenAI Whisper managed via env var for MIA, plus Deepgram and Soniox) and standardized STT model usage to improve transcription accuracy and simplify deployment across environments. Enforced language handling policies to reduce transcription errors (English for Sana, multilingual for other voice agents) while maintaining inclusive support. Introduced an optional tool-processing sound cue, configurable via environment variables, with fallbacks to existing text-to-speech phrases if the sound asset is unavailable or the feature is disabled, improving user feedback during tool calls. These changes enable backend provider swaps with minimal risk and provide clearer real-time cues during operations, reducing runtime friction for agents and end-users.
September 2025 monthly summary: Delivered targeted enhancements to STT flexibility and UX feedback for clairvoyance, with a focus on business value and deployment resilience. Implemented multi-provider STT support (OpenAI Whisper managed via env var for MIA, plus Deepgram and Soniox) and standardized STT model usage to improve transcription accuracy and simplify deployment across environments. Enforced language handling policies to reduce transcription errors (English for Sana, multilingual for other voice agents) while maintaining inclusive support. Introduced an optional tool-processing sound cue, configurable via environment variables, with fallbacks to existing text-to-speech phrases if the sound asset is unavailable or the feature is disabled, improving user feedback during tool calls. These changes enable backend provider swaps with minimal risk and provide clearer real-time cues during operations, reducing runtime friction for agents and end-users.
August 2025 — juspay/clairvoyance: Implemented end-to-end analytics and STT enhancements for the voice agent to improve observability, reliability, and provider flexibility. Key investments include session-scoped analytics with sessionId propagation to analytics and Breeze API; initialization of session-scoped analytics; added request_id support for end-to-end tracing; dynamic STT support for AssemblyAI and OpenAI with refactored service selection; VAD parameter handling improvements and log filtering. Also fixed UI/analytics propagation bugs to ensure accurate metrics.
August 2025 — juspay/clairvoyance: Implemented end-to-end analytics and STT enhancements for the voice agent to improve observability, reliability, and provider flexibility. Key investments include session-scoped analytics with sessionId propagation to analytics and Breeze API; initialization of session-scoped analytics; added request_id support for end-to-end tracing; dynamic STT support for AssemblyAI and OpenAI with refactored service selection; VAD parameter handling improvements and log filtering. Also fixed UI/analytics propagation bugs to ensure accurate metrics.
July 2025: Enhanced analytics, offer management, and data reliability for juspay/clairvoyance. Implemented Langfuse tracing for voice agent analytics (user/session/tags) with IST/UTC timezone handling and refined analytics dimensions. Added create_euler_offer with validation, date formatting, and robust API payloads. Fixed system prompt timing and tool description issues, and corrected minimum order amount defaults. Expanded analytics scope and improved logging and error visibility.
July 2025: Enhanced analytics, offer management, and data reliability for juspay/clairvoyance. Implemented Langfuse tracing for voice agent analytics (user/session/tags) with IST/UTC timezone handling and refined analytics dimensions. Added create_euler_offer with validation, date formatting, and robust API payloads. Fixed system prompt timing and tool description issues, and corrected minimum order amount defaults. Expanded analytics scope and improved logging and error visibility.
June 2025: Delivered critical observability and tracing enhancements for juspay/clairvoyance, strengthening production visibility and debugging efficiency. Implemented a centralized Logging System with enhanced observability, consolidating logging setup, standardizing formatting, enabling full-payload logging, and ensuring correct timezone handling. Added Langfuse tracing via OpenTelemetry to capture and view prompts and responses within the Automatic Voice Agent workflow. Also performed observability hardening by fixing logger usage across the repository and correcting trace naming to ensure reliable data. These changes improved end-to-end traceability, reduced incident investigation time, and enabled data-driven improvements to the conversation flow.
June 2025: Delivered critical observability and tracing enhancements for juspay/clairvoyance, strengthening production visibility and debugging efficiency. Implemented a centralized Logging System with enhanced observability, consolidating logging setup, standardizing formatting, enabling full-payload logging, and ensuring correct timezone handling. Added Langfuse tracing via OpenTelemetry to capture and view prompts and responses within the Automatic Voice Agent workflow. Also performed observability hardening by fixing logger usage across the repository and correcting trace naming to ensure reliable data. These changes improved end-to-end traceability, reduced incident investigation time, and enabled data-driven improvements to the conversation flow.

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