Skip to main content
Core Concepts

Agents

LLM logic with prompts and tools; good patterns and observability

Anatomy

  • Prompts
    • System Prompt — Non‑negotiable instructions.
    • Messages List (toggle) — Pass conversation history as input/output.
    • User Prompt — Optional pre‑set prompt for fixed‑purpose Agents.
  • Model configuration — Provider/model, temperature, top‑p, max tokens.
  • Toolbox — The set of callable tools made available to the Agent.

Available Models

Triform supports a wide range of AI models:

Anthropic:

  • Claude Haiku 4.5 — Ultra-fast responses, cost-effective for chat
  • Claude Sonnet — Balanced performance and capability
  • Claude Opus — Maximum reasoning power

Google:

  • Gemini 3 Pro Preview — Latest flagship with enhanced reasoning
  • Gemini Flash — Fast responses for real-time applications

OpenAI:

  • GPT-5.1 — Advanced reasoning and coding
  • GPT-4.1 — Reliable general-purpose model

Open Source:

  • Kimi — Default chat model with excellent context handling
  • Various models via Fireworks and other providers

Models are continuously updated. Check the builder for the latest available options.

Good patterns

  • Keep System Prompts specific and outcome‑oriented.
  • Start with few high‑leverage tools; expand gradually.
  • Use Messages List when memory/context matters.
  • Leverage enhanced tool calling for more reliable agent operations.

Enhanced capabilities

Recent improvements to the Agent system:

  • Improved tool calling — More reliable tool usage with better error handling
  • Execution visibility — Real-time execution steps sent to UI for debugging
  • Better prompts — Refined prompt system for clearer agent guidance
  • Loop support in tools — Agent tools can now use iterative operations

Observability

  • Executions emit logs, traces, metrics for inspection.
  • Use Payloads to reproduce and compare runs after prompt changes.
  • Monitor execution steps in real-time through the chat interface.

tip: Tool hygiene — Name tools by verb + object (fetch_user, summarize_text). Small, predictable tools make plans more reliable.

Was this helpful?

Still need help? Ask the team