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Devman Agents Overview

Devman Agents Overview

Devman treats AI agents as systems, not just prompts. A reliable agent combines model choice, context, retrieval, tools, workflows, observability, and evaluation.

Working Model

LLM + Context + RAG + Tools + Workflow + Observability + Evaluation

Each part has a role:

  • LLM handles reasoning and generation.
  • Context defines the current task and constraints.
  • RAG retrieves grounded knowledge.
  • Tools let the agent act on external systems.
  • Workflows structure multi-step operations.
  • Observability shows what happened.
  • Evaluation detects regressions and improves quality.

Production-Readiness

Production agents need clear boundaries: predictable inputs, explicit tool permissions, versioned prompts, telemetry, test cases, and secret management. The goal is not maximal autonomy; it is useful automation that can be inspected, improved, and trusted.

Related pages: Tools and Workflows and LLM Training and Evaluation.