Integration#

Each tool below has its own page. Omit --cache-dir: the model downloads into the Hugging Face cache, and the engine is reused from the default Edge-LLM cache.

edgellm serve Qwen/Qwen3.5-4B \
  --max-input-len 32768 \
  --max-kv-cache-capacity 40960 \
  --served-model-name qwen35-local \
  --port 8000

Generation clients use --max-input-len 32768 and --max-kv-cache-capacity 40960. The input limit covers the prompt, including a client’s system prompt and tools. The KV-cache capacity must also hold the completion. Change either flag when a workload needs a different length. AIPerf stays at 8,192 and 10,240: keep each trace inside that limit instead of building a longer engine.

Add --enable-auto-tool-choice for Claude Code, OpenClaw, and Codex. The server checks a bearer token only when --api-key is set.

Tool

Endpoint

AIPerf

POST /v1/chat/completions

NeMo Evaluator

POST /v1/chat/completions

VLMEvalKit

POST /v1/chat/completions

Claude Code

POST /v1/messages

OpenClaw

POST /v1/chat/completions

Codex

POST /v1/responses