llama.cpp/examples/openai/fastify.py

62 lines
1.7 KiB
Python

'''
Binds the functions of a python script as a FastAPI server.
This is useful in combination w/ the examples/agent/run_sandboxed_tools.sh
'''
import os, sys, typing, importlib.util
from anyio import Path
import fastapi, uvicorn
import typer
def load_source_as_module(source):
i = 0
while (module_name := f'mod_{i}') in sys.modules:
i += 1
spec = importlib.util.spec_from_file_location(module_name, source)
module = importlib.util.module_from_spec(spec)
sys.modules[module_name] = module
spec.loader.exec_module(module)
return module
def bind_functions(app, module):
for k in dir(module):
if k.startswith('_'):
continue
if k == k.capitalize():
continue
v = getattr(module, k)
if not callable(v) or isinstance(v, typing.Type):
continue
if not hasattr(v, '__annotations__'):
continue
vt = type(v)
if vt.__module__ == 'langchain_core.tools' and vt.__name__.endswith('Tool') and hasattr(v, 'func') and callable(v.func):
v = v.func
print(f'INFO: Binding /{k}')
try:
app.post(k)(v)
except Exception as e:
print(f'WARNING: Failed to bind /{k}\n\t{e}')
def main(files: typing.List[str], host: str = '0.0.0.0', port: int = 8000):
app = fastapi.FastAPI()
for f in files:
if f.endswith('.py'):
sys.path.insert(0, str(Path(f).parent))
module = load_source_as_module(f)
else:
module = importlib.import_module(f)
bind_functions(app, module)
uvicorn.run(app, host=host, port=port)
if __name__ == '__main__':
typer.run(main)