Results for “agent-reliability”

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Authenticates and connects to Google Cloud Agent Platform for inference with Gemini and third-party OpenMaaS models (Llama, DeepSeek, Qwen). Generates code for multiple SDKs, configures endpoints, and troubleshoots common errors.

Verify supply chain integrity for AI agent plugins, tools, and dependencies by generating SHA-256 manifests, detecting tampered files, auditing dependency pinning, and enforcing promotion gates.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Checks on-chain agent trustworthiness, discovers agents for tasks, profiles agents, looks up wallet/identity records, contacts or dispatches agents, and reads or writes hosted metadata via the 8K4 Protocol (ERC-8004).

Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.