batchbench 0.1.0

Offline and online benchmarking utilities for large language model workloads

BatchBench

BatchBench bundles three benchmarking utilities behind installable Python entrypoints:

• batchbench.generate produces JSONL request corpora with controllable prefix overlap and approximate token counts.
• batchbench.offline drives an offline vLLM workload to record prompt and generation throughput.
• batchbench.online launches the packaged Rust binary that fans requests out to OpenAI-compatible endpoints in parallel.

Installation

pip install batchbench

Optional extras install tool-specific dependencies:

pip install "batchbench[generate]"   # adds transformers for prompt sizing
pip install "batchbench[offline]"    # adds vllm for the offline benchmark

Generating Requests

batchbench.generate \
  --count 100 \
  --prefix-overlap 0.3 \
  --approx-input-tokens 512 \
  --tokenizer-model gpt-3.5-turbo \
  --output data

Each row in the resulting JSONL file has a text field. The filename embeds run metadata (count, tokens, prefix, tokenizer) to keep runs distinct.

Offline Benchmarking

The offline harness requires vLLM and a compatible model checkpoint.

batchbench.offline \
  --model facebook/opt-125m \
  --num_reqs 2048 \
  --icl 1024 \
  --ocl 1

The command prints prompt/generation throughput statistics and writes the sampled history to vllm_throughput_history.csv (configurable via --throughput_csv).

Online Benchmarking

batchbench.online wraps the Rust executable that used to live under rust-bench/. The binary ships inside the wheel, so Cargo is not required on the host.

batchbench.online \
  --jsonl data/requests.jsonl \
  --model gpt-4o-mini \
  --host https://api.openai.com \
  --endpoint /v1/chat/completions \
  --users 8 \
  --requests-per-user 1

Provide an API key via --api-key or the environment variable named by --api-key-env (defaults to OPENAI_API_KEY).

Development Notes

The project now follows a src/ layout. Run pip install -e .[generate,offline] during development to work against the editable package. The Rust binary can be rebuilt with cargo build --release inside rust-bench/; copy the resulting executable to src/batchbench/bin/ if you need to refresh it.