EcosystemAgent systems topic

Model strategy

Model strategy matches workload requirements to model capability, latency, cost, context, tool use, and operational controls. A production choice should be based on representative evaluation and a migration path, not a permanent assumption that one provider or benchmark is universally best.

Apply the lifecycleReview sources

Questions to answer

Resolve these before adding tools, frameworks, or automation.

  • Which capabilities and failure modes matter for this workload?
  • What latency, cost, context, privacy, and regional constraints apply?
  • How will model upgrades, fallbacks, and provider migration be evaluated?

Implementation lifecycle

Build the evidence in this order

  1. 01

    Benchmark

    Evaluate representative inputs, complete workflows, and known hard cases.

  2. 02

    Operate

    Track quality, latency, cost, limits, safety behavior, and provider changes.

  3. 03

    Revisit

    Re-run evals before upgrades and keep fallback assumptions current.

Artifacts to maintain

  • model scorecard
  • eval report
  • routing policy
  • migration plan

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Evidence ledger

Primary documentation behind this guide

OpenAI

GPT-5.4 model guide

Current OpenAI model capabilities, context, tool support, controls, and operational characteristics.

Anthropic

Claude prompting best practices

Current Claude prompting controls and provider-specific practices that should be evaluated rather than generalized across models.

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