Routing

Portkey Gateway for tokenmaxxing

Model routing plus guardrails is the grown-up version of tokenmaxxing: pick the right route, then keep the call inside policy.

11.8K starsPortkey-AI/gateway
1.1K forksGitHub metadata checked 2026-05-21
MITDirect tokenmaxxing fit

What it does

An AI gateway for routing across LLMs with guardrails, provider abstraction, and an OpenAI-compatible API surface.

Why it belongs here

Model routing plus guardrails is the grown-up version of tokenmaxxing: pick the right route, then keep the call inside policy.

Best use case

Teams that want an OpenAI-compatible gateway with routing, provider abstraction, guardrails, and operational policy controls.

How to use it

Centralize model calls, define guardrails and fallbacks, and compare provider cost and latency across the same workflows.

Limits

Guardrails and routes need real policies. A gateway cannot decide quality targets or risk tolerance for the team.

Tags

gatewayguardrailsrouting
Related feed

Source notes connected to this use case

Startup Fortune source artwork
newsSF
news

Hermes Agent leads OpenRouter as agent usage becomes a market signal – Startup Fortune

OpenRouter's public app/agent leaderboard briefly put Hermes Agent at #1, illustrating how token-based usage dashboards can steer attention in the agent boom.

tokenmaxxingmodel-routerpricing
Read note
TrueFoundry tokenmaxxing article image
long-formT
long-form

Tokenmaxxing as the new lines-of-code metric

Fresh AI infra angle on why token volume becomes dangerous when teams optimize for consumption instead of attributable outcomes.

cost-governancemodel-routingllm-infra
Read note
Generated Tokenmaxxing editorial thumbnail for Anthropic raises Claude Code limits with new compute
agentA
agentmedium review

Anthropic raises Claude Code limits with new compute

Anthropic ties higher Claude Code and API limits to new compute capacity, making capacity itself part of the agent-product story.

coding-agentstoken-consumptionapi
Read note
Augment Code source artwork
newsAC
news

Introducing Augment Prism: model routing to reduce cost and maintain quality

Augment Code introduces Prism, a cache-aware model router for coding-agent sessions that chooses an underlying model per user turn to reduce token spend without materially degrading output quality (per Augment’s benchmarks).

tokenmaxxingcost-governancemodel-routing
Read note
Alternatives

More routing projects

#1Direct
Routing

LiteLLM

BerriAI/litellm

An OpenAI-compatible gateway and SDK for calling many model providers with budgets, logging, load balancing, guardrails, and cost tracking.

47.8K8.2KSource-available
gatewaycost-trackingrouting
#2Direct
Observability

Langfuse

langfuse/langfuse

Open-source LLM engineering platform for observability, traces, metrics, evals, prompt management, datasets, and playground workflows.

27.6K2.8KSource-available
tracesevalscosts
#13In spirit
Structured output

Outlines

dottxt-ai/outlines

A structured-output toolkit for constraining generation with formats like JSON, regex, and grammars.

13.9K698Apache-2.0
jsonconstrained-generationretries