juspay/clairvoyance
Aug 2025 – Sep 2025
2 Months active
Languages Used
PythonShell
Technical Skills
AI Prompt EngineeringAPI DesignConfiguration ManagementLLM IntegrationNatural Language ProcessingPython Development
UdaiNegi
PROFILE
Udainegi
Udai Negi developed a Human-in-the-Loop safety system for tool calls in the juspay/clairvoyance repository, introducing an interception layer that requires explicit user confirmation for critical operations such as create, update, and delete. Leveraging Python and prompt engineering, Udai designed configurable enablement and confirmation actions to enhance operational safety and governance. He refined prompts to clarify tool scope, acronyms, and time-related requirements, reducing the risk of unintended actions. In the following month, Udai consolidated and streamlined the HITL SystemPrompt workflow, enforcing sequential operations and improving maintainability. His work demonstrated depth in system design and natural language processing integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
701
Activity Months2
Your Network
123 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for juspay/clairvoyance focused on HITL SystemPrompt workflow improvements and maintained stability across the repository. The main delivery was a Workflow Enhancement for the HITL SystemPrompt, with consolidation of rules for Create/Update/Delete. This change enforces sequential operations and explicit user confirmation for each step, reducing redundancy and clarifying instructions for handling various tool operations.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for juspay/clairvoyance focused on HITL SystemPrompt workflow improvements and maintained stability across the repository. The main delivery was a Workflow Enhancement for the HITL SystemPrompt, with consolidation of rules for Create/Update/Delete. This change enforces sequential operations and explicit user confirmation for each step, reducing redundancy and clarifying instructions for handling various tool operations.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly performance summary for 2025-08: Implemented Human-in-the-Loop safety system for tool calls in juspay/clairvoyance, introducing an interception layer that requires user confirmation for critical operations, with configurable enablement and confirmation actions. Refined prompts to improve understanding of tool scope, acronyms, timezones, date/time requirements, and identity. This work strengthens safety, governance, and operational control over automated tool usage, reducing risk of unintended destructive actions.
August 2025
2 Commits • 1 Features
Aug 1, 2025Monthly performance summary for 2025-08: Implemented Human-in-the-Loop safety system for tool calls in juspay/clairvoyance, introducing an interception layer that requires user confirmation for critical operations, with configurable enablement and confirmation actions. Refined prompts to improve understanding of tool scope, acronyms, timezones, date/time requirements, and identity. This work strengthens safety, governance, and operational control over automated tool usage, reducing risk of unintended destructive actions.
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture83.4%
Performance70.0%
AI Usage46.6%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
AI Prompt EngineeringAPI DesignConfiguration ManagementLLM IntegrationNatural Language ProcessingPrompt EngineeringPython DevelopmentSystem Design
Repositories Contributed To
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