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Complete guides and API reference for the Aurora AI gateway. 96 pages across 7 sections.
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Quick Start
->Get Aurora running in five minutes: install, set one provider key, send your first request, open the dashboard, and issue a managed key.
Core Concepts
->The five Aurora primitives every new user needs to know: providers, models, aliases, pools, combos, overrides, and workflows.
Editions
->What is available in Aurora OSS and Aurora Enterprise, and how to start with the right edition.
Providers Overview
->All 14 providers Aurora auto-discovers, the env var that activates each, the default base URL, the default model list, and the link to the dedicated guide.
Model Management
->Expose stable model names, configure access rules, and manage provider model inventory from Aurora.
Model Pricing
->Manage pricing metadata used by usage analytics and cost reports.
Routing Scopes
->Use user paths, provider names, models, and managed API keys to scope routing, access, workflows, and audit data.
Provider Pools
->Group compatible providers behind one pool for load balancing, failover, and pooled embeddings or generation calls.
Combos
->Expose an ordered model fallback chain as one selectable model name.
Token Saver
->Compress eligible tool output, prompts, and request concise completions to cut spend without changing how you call Aurora.
Workflows
->How workflow matching works, including user_path-first precedence and provider-name scoping.
Guardrails
->Intercept and modify requests before they reach LLM providers.
Cache
->How Aurora response caching works, how to enable exact and semantic cache layers, and what is included in the exact-cache key.
Provider Prompt Caching
->How Aurora forwards cache_control markers to upstream providers to reduce token costs, and which providers support it.
Failover
->Configure Aurora failover with manual rules, understand experimental auto mode, and know when fallback attempts run.