Open source model selection

Prism

Explainable recommendations
for AI agents.

Analyze prompts. Evaluate capabilities. Recommend models. Explain every decision.

Recommendation trace

See the decision, not just the result.

Prism turns an unstructured request into an explainable recommendation your agent can inspect before it acts.

prism recommendexample
Build a Rust HTTP server

Analyzing prompt

Rust

Tool use

Code generation

Long context

Scoring eligible models

Claude
95
GPT-5
88
Gemini
74
RecommendationClaude Sonnet 494% confidence

Each output includes the constraints applied, alternatives considered, and the evidence behind its score.

Architecture

A small, legible pipeline.

Prism keeps the path from a prompt to a decision explicit and composable.

  1. 01

    Prompt

    Extract intent, constraints, and task shape.

  2. 02

    Capability analysis

    Map requirements to a portable capability profile.

  3. 03

    Policy engine

    Apply your requirements for cost, latency, and providers.

  4. 04

    Model scoring

    Score eligible models against the complete profile.

  5. 05

    Decision report

    Return a choice with inspectable evidence.

Read the architecture

Integrations

Policy is yours to define.

Providers

Profiles describe models without tying your decision system to a vendor.

Plugins

Extend scoring with your own signals, budgets, and deployment constraints.

Reports

Use a structured decision report anywhere an agent needs to justify a choice.

Build on Prism

Recommendation infrastructure
you can reason about.