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docs: add reference for concurrent requests

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Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
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Ettore Di Giacinto 2024-04-29 18:31:50 +02:00 committed by GitHub
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docs/content/docs/advanced/advanced-usage.md
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@ -499,3 +499,27 @@ When using the `-core` container image it is possible to prepare the python back
```bash ```bash
docker run --env EXTRA_BACKENDS="backend/python/diffusers" quay.io/go-skynet/local-ai:master-ffmpeg-core docker run --env EXTRA_BACKENDS="backend/python/diffusers" quay.io/go-skynet/local-ai:master-ffmpeg-core
``` ```
### Concurrent requests
LocalAI supports parallel requests for the backends that supports it. For instance, vLLM and llama.cpp supports parallel requests, and thus LocalAI allows to run multiple requests in parallel.
In order to enable parallel requests, you have to pass `--parallel-requests` or set the `PARALLEL_REQUEST` to true as environment variable.
A list of the environment variable that tweaks parallelism is the following:
```
### Python backends GRPC max workers
### Default number of workers for GRPC Python backends.
### This actually controls wether a backend can process multiple requests or not.
# PYTHON_GRPC_MAX_WORKERS=1
### Define the number of parallel LLAMA.cpp workers (Defaults to 1)
# LLAMACPP_PARALLEL=1
### Enable to run parallel requests
# LOCALAI_PARALLEL_REQUESTS=true
```
Note that, for llama.cpp you need to set accordingly `LLAMACPP_PARALLEL` to the number of parallel processes your GPU/CPU can handle. For python-based backends (like vLLM) you can set `PYTHON_GRPC_MAX_WORKERS` to the number of parallel requests.