This commit "deprecates" the example fastapi server by remaining runnable but pointing folks at the module if they want to learn more.
Rationale:
Currently there exist two server implementations in this repo:
- `llama_cpp/server/__main__.py`, the module that's runnable by consumers of the library with `python3 -m llama_cpp.server`
- `examples/high_level_api/fastapi_server.py`, which is probably a copy-pasted example by folks hacking around
IMO this is confusing. As a new user of the library I see they've both been updated relatively recently but looking side-by-side there's a diff.
The one in the module seems better:
- supports logits_all
- supports use_mmap
- has experimental cache support (with some mutex thing going on)
- some stuff with streaming support was moved around more recently than fastapi_server.py
When I generate a client, it breaks because it fails to process the schema of ChatCompletionRequestMessage
These fix that:
- I think `Union[Literal["user"], Literal["channel"], ...]` is the same as Literal["user", "channel", ...]
- Turns out default value `Literal["user"]` isn't JSON serializable, so replace with "user"
`model` is ignored, but currently marked "optional"... on the one hand could mark "required" to make it explicit in case the server supports multiple llama's at the same time, but also could delete it since its ignored. decision: mark it required for the sake of openai api compatibility.
I think out of all parameters, `model` is probably the most important one for people to keep using even if its ignored for now.
Define an init_llama function that starts llama with supplied settings instead of just doing it in the global context of app.py
This allows the test to be less brittle by not needing to mess with os.environ, then importing the app
