LLM-based System Testing Task

An LLM-based System Testing Task is a system testing task that is an application testing task designed to validate llm-based system behavior through end-to-end tests and integration verifications.

• AKA: LLM Application Testing Task, LLM System Testing Task, GenAI System Testing Task.
• Context:
  • It can typically test LLM-based System Integration through api endpoint testing, service communication, and component interaction.
  • It can typically validate LLM-based System Workflow using pipeline testing, orchestration verification, and process flow checks.
  • It can typically assess LLM-based System Performance via response latency, throughput testing, and scalability evaluation.
  • It can typically verify LLM-based System Reliability through error handling, fallback mechanisms, and retry logic.
  • It can typically evaluate LLM-based System Security using authentication testing, authorization checks, and data protection verification.
  • ...
  • It can often test LLM-based System Prompt Management through prompt template testing, prompt injection defense, and prompt versioning.
  • It can often validate LLM-based System Context Handling via context window management, memory system testing, and conversation state.
  • It can often assess LLM-based System Observability using logging verification, monitoring checks, and tracing validation.
  • It can often verify LLM-based System Cost Control through token usage tracking, rate limiting, and budget enforcement.
  • ...
  • It can range from being a Simple LLM-based System Testing Task to being a Complex LLM-based System Testing Task, depending on its system architecture complexity.
  • It can range from being a Development LLM-based System Testing Task to being a Production LLM-based System Testing Task, depending on its deployment environment.
  • It can range from being a Functional LLM-based System Testing Task to being a Non-Functional LLM-based System Testing Task, depending on its testing focus.
  • It can range from being a Manual LLM-based System Testing Task to being an Automated LLM-based System Testing Task, depending on its execution method.
  • It can range from being a Unit LLM-based System Testing Task to being an End-to-End LLM-based System Testing Task, depending on its testing scope.
  • ...
  • It can support LLM-based System Deployment through production readiness assessment.
  • It can enable LLM-based System Optimization via bottleneck identification.
  • It can facilitate LLM-based System Debugging through error trace analysis.
  • It can guide LLM-based System Scaling via load testing results.
  • It can inform LLM-based System Maintenance through regression testing.
  • ...
• Example(s):
  • RAG System Testing Tasks, such as:
    • Retrieval Pipeline Testing verifying document retrieval accuracy.
    • Context Integration Testing checking retrieval-generation alignment.
    • Vector Database Testing validating embedding storage and search.
    • Chunking Strategy Testing optimizing document segmentation.
  • Chatbot System Testing Tasks, such as:
    • Conversation Flow Testing validating dialogue management.
    • Session Management Testing checking conversation state persistence.
    • Intent Recognition Testing verifying user intent classification.
    • Response Generation Testing assessing answer quality.
  • LLM API System Testing Tasks, such as:
    • Function Calling Testing verifying tool integration.
    • Rate Limiting Testing checking api throttling.
    • Error Recovery Testing validating failure handling.
    • Load Balancing Testing assessing request distribution.
  • LLM DevOps System Testing Tasks, such as:
    • Deployment Pipeline Testing verifying ci/cd workflows.
    • Monitoring System Testing checking observability stack.
    • A/B Testing Framework Testing validating experiment infrastructure.
    • Rollback Mechanism Testing verifying deployment recovery.
  • ...
• Counter-Example(s):
  • LLM Model Testing Tasks, which test model capability rather than system functionality.
  • LLM Training Pipeline Testing, which validates model development rather than system operation.
  • LLM Dataset Testing, which verifies training data rather than system behavior.
• See: LLM-based System, System Testing Task, LLM Application Evaluation Framework, LLM DevOps Framework, Integration Testing, LLM Model Testing Task, System Testing Method.

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