apache/streampipes
Apr 2025 – Apr 2025
1 Month active
Languages Used
JavaN/A
Technical Skills
AI IntegrationAPI IntegrationBackend DevelopmentDocumentationJavaLLM Integration
Grainier Perera
PROFILE
Grainier Perera
Developed a major upgrade for the apache/streampipes repository by introducing the Multi-Model Prompt Processor (MMPP), enabling orchestration across multiple LLM providers such as OpenAI, Anthropic, and Ollama. Leveraging Java and backend development skills, the work integrated MMPP into IIoT extensions, allowing seamless device-to-model prompt flows. The implementation included configurable chat history modes, flexible input field mappings, and UI enhancements for clearer system prompt descriptions. Documentation was updated to reflect these changes, supporting complex IIoT workflows and reducing time-to-value for model integration. The approach demonstrated depth in AI and API integration, stream processing, and software design patterns.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
1,024
Activity Months1
Your Network
17 peopleWork History
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025—Delivered a major MMPP upgrade in apache/streampipes, enabling multi-provider LLM orchestration (OpenAI, Anthropic, Ollama), configurable chat history modes, and input field mappings. The work includes integrating MMPP into IIoT extensions and UI/documentation improvements (system prompt description, minimal window size configuration). Also added support for multiple input fields to compose prompts. These changes deliver greater model versatility, robust IIoT automation, and an improved developer experience, reducing time-to-value for model-integrated IIoT use cases.
6 Commits • 1 Features
Apr 1, 2025April 2025—Delivered a major MMPP upgrade in apache/streampipes, enabling multi-provider LLM orchestration (OpenAI, Anthropic, Ollama), configurable chat history modes, and input field mappings. The work includes integrating MMPP into IIoT extensions and UI/documentation improvements (system prompt description, minimal window size configuration). Also added support for multiple input fields to compose prompts. These changes deliver greater model versatility, robust IIoT automation, and an improved developer experience, reducing time-to-value for model-integrated IIoT use cases.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability93.4%
Architecture90.0%
Performance80.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
JavaN/A
Technical Skills
AI IntegrationAPI IntegrationBackend DevelopmentDocumentationJavaLLM IntegrationSoftware Design PatternsStream Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline