API · established

diegosouzapw/OmniRoute

Local-first AI gateway routing coding agents across hundreds of providers/models with fallback, dashboard, MCP/A2A, and RTK/Caveman prompt compression.

LLM routingtoken compressionagent infrastructure
Installation GuideInstruction Manual

What it contains

Local-first AI gateway routing coding agents across hundreds of providers/models with fallback, dashboard, MCP/A2A, and RTK/Caveman prompt compression.

Typical uses

Centralize model access, route around quota/outages, apply configurable compression, and operate through API, CLI, dashboard, desktop/PWA, MCP, or A2A.

Why people choose it

Inference: reduces provider lock-in and manual fallback while adding one control plane for routing and token management.

License
MIT
Maintenance
active
Latest release
v3.8.50
Last meaningful update
Unknown
Maturity
established
Production readiness
development

Classification

Subject domains

LLM routingtoken compressionagent infrastructure

Task categories

LLM routingtoken compressionagent infrastructure

Project phases

implementationoperations

Secondary types

gatewayCLIMCP serverdesktop app

Select when

  • Need one endpoint across many model providers
  • Need routing/fallback/compression

Do not select when

  • Only one stable provider is needed
  • Prompt transformation is unacceptable unless disabled
Implementation complexity
medium
Setup effort
medium
Learning curve
medium
Confidence
high

Routing heuristic 78.0%

Routing specificity
4/5
Setup simplicity
3/5
Operational maturity
3/5
Composability
4/5
Local control
3/5
Security boundary clarity
5/5
First-party routing documentation
5/5

Strengths

None documented.

Poor-fit scenarios

  • Only one stable provider is needed
  • Prompt transformation is unacceptable unless disabled

Limitations

None documented.

README.md

Route requests among providers/models.

routingfallback
open-sse/services/compression/

Off/lite/standard/aggressive/ultra/RTK/stacked modes.

CavemanRTKstackedcache-aware
skills/omni-compression/SKILL.md

Configure/test compression engines and rules.

compression configurationpreviewanalytics
MCP server mcp_server
README.md

Expose gateway/cache/compression tools.

MCP
A2A server service
README.md

Agent-to-agent JSON-RPC.

A2A
Desktop/PWA application
README.md

Visual gateway control plane.

dashboard
Languages
TypeScript
Frameworks
None documented
Runtimes
Node.js
Operating systems
macOS, Linux, Windows, Android/Termux
Installation methods
npx, Docker, desktop
Interfaces
API, CLI, dashboard, MCP, A2A
Required credentials
provider credentials, management token/key
External services
LLM providers
Hardware
None documented
Major dependencies
None documented

Compatibility notes

None documented.

One-sentence semantic summary

Local-first AI gateway routing coding agents across hundreds of providers/models with fallback, dashboard, MCP/A2A, and RTK/Caveman prompt compression.

Capability keywords

provider routingfallbackcompressionMCPA2Adashboarddesktop

User intent phrases

  • Need one endpoint across many model providers
  • Need routing/fallback/compression

Negative match phrases

  • Only one stable provider is needed
  • Prompt transformation is unacceptable unless disabled

Differentiators

None documented.

Security considerations

  • Protect provider credentials and management endpoints.
  • Preview aggressive compression.

Privacy considerations

None documented.

Uncertainty

Unresolved items

None documented.

Inference notes

None documented.

Evidence

  • repository_metadata · Repository metadata/identity checked through GitHub.
  • readme · Primary first-party README inspected.
  • documentation · Compression wiki validated through public GitHub web page because repository contents API does not expose wiki pages.

Repository usage guidance

installation summary
npx; Docker; desktop
basic usage summary
Centralize model access, route around quota/outages, apply configurable compression, and operate through API, CLI, dashboard, desktop/PWA, MCP, or A2A.
documented entry points
npx omniroute, Docker, desktop
key configuration files
None documented
important directories
skills/, open-sse/services/compression/, docs/
documentation paths
README.md, wiki/Compression-Guide, docs/guides/FEATURES.md
example paths
None documented

Relationships

integration
high
Both reduce context; OmniRoute can stack RTK-style and prose compression.

Recommended combinations

Not part of a curated combination.

Routing rules

rule_006: Need one endpoint across many model providers P994

Rationale

Local-first AI gateway routing coding agents across hundreds of providers/models with fallback, dashboard, MCP/A2A, and RTK/Caveman prompt compression.

Required conditions

None documented.

Preferred

diegosouzapw/OmniRoute

Fallback

None