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support multi process to launch llmserver, add openai proxy api.

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This commit is contained in:
xuyuan23 2023-06-12 21:29:16 +08:00
parent 62eb6c383e
commit 6e3b48c7c4
4 changed files with 21 additions and 12 deletions
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16
.env.template
View File

@ -7,6 +7,10 @@
## For example, to disable coding related features, uncomment the next line
# DISABLED_COMMAND_CATEGORIES=
#*******************************************************************#
#** Webserver Port **#
#*******************************************************************#
WEB_SERVER_PORT=7860
#*******************************************************************#
#*** LLM PROVIDER ***#
@ -17,6 +21,7 @@
#*******************************************************************#
#** LLM MODELS **#
#*******************************************************************#
# LLM_MODEL, see /pilot/configs/model_config.LLM_MODEL_CONFIG
LLM_MODEL=vicuna-13b
MODEL_SERVER=http://127.0.0.1:8000
LIMIT_MODEL_CONCURRENCY=5
@ -98,15 +103,20 @@ VECTOR_STORE_TYPE=Chroma
#MILVUS_SECURE=
#*******************************************************************#
#** WebServer Language Support **#
#*******************************************************************#
LANGUAGE=en
#LANGUAGE=zh
#*******************************************************************#
# ** PROXY_SERVER
# ** PROXY_SERVER (openai interface | chatGPT proxy service), use chatGPT as your LLM.
# ** if your server can visit openai, please set PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
# ** else if you have a chatgpt proxy server, you can set PROXY_SERVER_URL={your-proxy-serverip:port/xxx}
#*******************************************************************#
PROXY_API_KEY=
PROXY_SERVER_URL=http://127.0.0.1:3000/proxy_address
PROXY_API_KEY={your-openai-sk}
PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
#*******************************************************************#

3
pilot/configs/config.py
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@ -17,8 +17,9 @@ class Config(metaclass=Singleton):
def __init__(self) -> None:
"""Initialize the Config class"""
# Gradio language version: en, cn
# Gradio language version: en, zh
self.LANGUAGE = os.getenv("LANGUAGE", "en")
self.WEB_SERVER_PORT = int(os.getenv("WEB_SERVER_PORT", 7860))
self.debug_mode = False
self.skip_reprompt = False

12
pilot/server/llmserver.py
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@ -84,6 +84,11 @@ class ModelWorker:
return get_embeddings(self.model, self.tokenizer, prompt)
model_path = LLM_MODEL_CONFIG[CFG.LLM_MODEL]
worker = ModelWorker(
model_path=model_path, model_name=CFG.LLM_MODEL, device=DEVICE, num_gpus=1
)
app = FastAPI()
@ -157,11 +162,4 @@ def embeddings(prompt_request: EmbeddingRequest):
if __name__ == "__main__":
model_path = LLM_MODEL_CONFIG[CFG.LLM_MODEL]
print(model_path, DEVICE)
worker = ModelWorker(
model_path=model_path, model_name=CFG.LLM_MODEL, device=DEVICE, num_gpus=1
)
uvicorn.run(app, host="0.0.0.0", port=CFG.MODEL_PORT, log_level="info")

2
pilot/server/webserver.py
View File

@ -658,7 +658,7 @@ def signal_handler(sig, frame):
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--host", type=str, default="0.0.0.0")
parser.add_argument("--port", type=int)
parser.add_argument("--port", type=int, default=CFG.WEB_SERVER_PORT)
parser.add_argument("--concurrency-count", type=int, default=10)
parser.add_argument(
"--model-list-mode", type=str, default="once", choices=["once", "reload"]