aliasrobotics/cai
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
API integrationI/O handlingPythonasynchronous programmingbackend developmentcloud services
pzabalegui
PROFILE
Pzabalegui
Worked on the aliasrobotics/cai repository to enhance interactive command responsiveness and expand model accessibility. Implemented idle detection and non-blocking I/O using Python’s asyncio and select modules, introducing a 10-second timeout to prevent freezing during interactive sessions. Addressed model selection inconsistencies by establishing a global shared cache, ensuring reliable model numbering across commands. Integrated Ollama Cloud models, enabling authenticated access to cloud-based models without local GPU requirements, and updated the user interface to support new model categories. Focused on backend development, API integration, and asynchronous programming, these changes reduced latency, improved reliability, and broadened the platform’s model availability for users.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
798
Activity Months1
Your Network
33 peopleSame Organization
@aliasrobotics.com6
danielsanchezprieto01Member
lidia9Member
Mery-SanzMember
aliasrobotics-supportMember
@uayucarMember
yuri-aliasMember
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 — Aliasrobotics CAI: Delivered marked improvements in responsiveness, consistency, and cloud-based model access. Key outcomes include a robust interactive command experience, consistent model selection across commands, and cloud-model enablement with proper authentication and categorization. These changes reduce task latency, prevent blocking scenarios, and broaden model availability with minimal local dependencies.
3 Commits • 2 Features
Dec 1, 2025December 2025 — Aliasrobotics CAI: Delivered marked improvements in responsiveness, consistency, and cloud-based model access. Key outcomes include a robust interactive command experience, consistent model selection across commands, and cloud-model enablement with proper authentication and categorization. These changes reduce task latency, prevent blocking scenarios, and broaden model availability with minimal local dependencies.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationI/O handlingPythonasynchronous programmingbackend developmentcloud servicesdata handlingdebuggingdocumentationfull stack development
Repositories Contributed To
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