Groq

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Ultra-fast LLM inference with custom hardware (LPU). OpenAI-compatible with Groq-specific options.

Configuration

GROQ_API_KEY=gsk_...

Provider Options

Passed via :provider_options keyword:

service_tier

  • Type: "auto" | "on_demand" | "flex" | "performance"

  • Default: "auto"
  • Purpose: Control performance tier for requests
  • Example: provider_options: [service_tier: "performance"]

reasoning_effort

  • Type: "none" | "default" | "low" | "medium" | "high"

  • Purpose: Control reasoning level for compatible models
  • Compatible: DeepSeek R1 distill models
  • Example: provider_options: [reasoning_effort: "high"]

reasoning_format

  • Type: String
  • Purpose: Specify format for reasoning output
  • Example: provider_options: [reasoning_format: "detailed"]

search_settings

  • Type: Map
  • Purpose: Enable web search capabilities
  • Keys:
    • include_domains: List of domains to include
    • exclude_domains: List of domains to exclude
  • Example:
    provider_options: [
  search_settings: %{
    include_domains: ["techcrunch.com", "arstechnica.com"],
    exclude_domains: ["spam.com"]
  }
]

compound_custom

  • Type: Map
  • Purpose: Custom configuration for Compound systems
  • Example: provider_options: [compound_custom: %{...}]

Performance Notes

  • Streaming: Groq's LPU hardware excels at streaming - tokens appear instantly
  • Model Selection: Use 8b-instant for speed, 70b for quality
  • Service Tier: Use "performance" for lowest latency
  • Concurrency: Handles concurrent requests efficiently

Resources