Initial commit: Hermes Agent Skills collection

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2026-07-12 19:02:59 +00:00
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# AIPerf 0.10.0+ Schema 2.0 — Long-Input Prefill Test Template
# Use case: Isolate memory-bandwidth prefill bottleneck for RAG / long-context workloads
# Concurrency is kept low (10) to avoid queueing artifacts
schema_version: "2.0"
benchmark:
models:
items:
- name: "moonshotai/kimi-k2.6"
endpoint:
urls: ["https://ai.noris.de/v1"]
type: "chat"
streaming: true
datasets:
- name: "synthetic_long"
type: "synthetic"
prompt_template:
content: "Analyze the following topic in depth and provide detailed insights."
strategy:
type: "fixed"
max_total_tokens: 1152
input_tokens: 1024 # Double the standard 512
output_tokens: 128 # Short output to isolate prefill
phases:
- type: "concurrency"
name: "profiling"
duration: 300 # 5 minutes to amortize cold-start
# Do NOT specify requests — duration drives the phase
# CLI usage:
# aiperf profile --config this-file.yaml --concurrency 10 --ui none \
# --api-key "$API_KEY" --artifact-dir results/longinput/
# YAML rules learned the hard way:
# - datasets is a LIST (starts with "- name:", NOT "default:")
# - prompt_template and strategy are siblings to name/type
# - Never use ${VAR} in headers when passing --api-key via CLI