# Risk-AM public LLM deployment profile
# Snapshot: 24 July 2026
#
# This is a sanitised public snapshot of the deployed model routing and
# inference profiles. The operational repository remains private. API keys,
# environment variable names and internal endpoints are intentionally omitted.

production_chain:
  - groq

profiles:
  chat:
    model: openai/gpt-oss-20b
    temperature: 0.10
    top_p: 1.00
    output_target: 500
    reasoning_effort: low
    completion_budget: 2048

  narrative:
    model: openai/gpt-oss-20b
    temperature: 0.25
    top_p: 1.00
    output_target: 700
    reasoning_effort: low
    completion_budget: 2560

  research_fast:
    model: openai/gpt-oss-20b
    temperature: 0.05
    top_p: 1.00
    output_target: 700
    reasoning_effort: low
    completion_budget: 3072

  structured:
    model: openai/gpt-oss-20b
    temperature: 0.05
    top_p: 1.00
    output_target: 900
    reasoning_effort: low
    completion_budget: 3072

  research_deep:
    model: openai/gpt-oss-120b
    temperature: 0.10
    top_p: 1.00
    output_target: 1200
    reasoning_effort: medium
    completion_budget: 4096

public_data_evaluation:
  production_default: false
  chain:
    - nvidia/deepseek-ai/deepseek-v4-pro
    - groq/openai/gpt-oss-120b
  temperature: 1.00
  top_p: 0.95
  output_target: 900
  fallback_reasoning_effort: medium
  fallback_completion_budget: 4096
  data_scope: public_only

boundary:
  numerical_engine: Python
  llm_role: retrieval_interpretation_and_narrative
  risk_calculation_by_llm: false