This commit is contained in:
Adil Hafeez 2024-10-24 17:45:04 -07:00
parent 8e098fb5c0
commit 6eceabf43e
10 changed files with 204 additions and 152 deletions

View file

@ -14,7 +14,9 @@
"console": "integratedTerminal",
"env": {
"LLM": "1",
"CHAT_COMPLETION_ENDPOINT": "http://localhost:10000/v1"
"CHAT_COMPLETION_ENDPOINT": "http://localhost:10000/v1",
"STREAMING": "True",
"ARCH_CONFIG": "../../demos/function_calling/arch_config.yaml"
}
},
{
@ -30,6 +32,7 @@
}
},
{
"python": "${workspaceFolder}/venv/bin/python",
"name": "chatbot-ui (llm) streaming",
"cwd": "${workspaceFolder}/app",
"type": "debugpy",

View file

@ -0,0 +1,20 @@
import json
ARCH_STATE_HEADER = "x-arch-state"
def get_arch_messages(response_json):
arch_messages = []
if response_json and "metadata" in response_json:
# load arch_state from metadata
arch_state_str = response_json.get("metadata", {}).get(ARCH_STATE_HEADER, "{}")
# parse arch_state into json object
arch_state = json.loads(arch_state_str)
# load messages from arch_state
arch_messages_str = arch_state.get("messages", "[]")
# parse messages into json object
arch_messages = json.loads(arch_messages_str)
# append messages from arch gateway to history
return arch_messages
return []

View file

@ -2,6 +2,7 @@ import json
import os
import logging
import yaml
from arch_util import get_arch_messages
import gradio as gr
from typing import List, Optional, Tuple
@ -10,6 +11,8 @@ from dotenv import load_dotenv
load_dotenv()
STREAM_RESPONSE = bool(os.getenv("STREAM_RESPOSE", True))
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(levelname)s - %(message)s",
@ -20,7 +23,6 @@ log = logging.getLogger(__name__)
CHAT_COMPLETION_ENDPOINT = os.getenv("CHAT_COMPLETION_ENDPOINT")
log.info(f"CHAT_COMPLETION_ENDPOINT: {CHAT_COMPLETION_ENDPOINT}")
ARCH_STATE_HEADER = "x-arch-state"
CSS_STYLE = """
.json-container {
@ -69,7 +71,7 @@ def convert_prompt_target_to_openai_format(target):
def get_prompt_targets():
try:
with open("arch_config.yaml", "r") as file:
with open(os.getenv("ARCH_CONFIG", "arch_config.yaml"), "r") as file:
config = yaml.safe_load(file)
available_tools = []
@ -105,48 +107,65 @@ def chat(query: Optional[str], conversation: Optional[List[Tuple[str, str]]], st
temperature=1.0,
# metadata=metadata,
extra_headers=custom_headers,
stream=STREAM_RESPONSE,
)
except Exception as e:
log.info(e)
# remove last user message in case of exception
history.pop()
log.info("Error calling gateway API: {}".format(e.message))
raise gr.Error("Error calling gateway API: {}".format(e.message))
log.info("Error calling gateway API: {}".format(e))
raise gr.Error("Error calling gateway API: {}".format(e))
log.error(f"raw_response: {raw_response.text}")
response = raw_response.parse()
if STREAM_RESPONSE:
response = raw_response.parse()
history.append({"role": "assistant", "content": "", "model": ""})
# for gradio UI we don't want to show raw tool calls and messages from developer application
# so we're filtering those out
history_view = [h for h in history if h["role"] != "tool" and "content" in h]
# extract arch_state from metadata and store it in gradio session state
# this state must be passed back to the gateway in the next request
response_json = json.loads(raw_response.text)
log.info(response_json)
if response_json and "metadata" in response_json:
# load arch_state from metadata
arch_state_str = response_json.get("metadata", {}).get(ARCH_STATE_HEADER, "{}")
# parse arch_state into json object
arch_state = json.loads(arch_state_str)
# load messages from arch_state
arch_messages_str = arch_state.get("messages", "[]")
# parse messages into json object
arch_messages = json.loads(arch_messages_str)
# append messages from arch gateway to history
for message in arch_messages:
history.append(message)
messages = [
(history_view[i]["content"], history_view[i + 1]["content"])
for i in range(0, len(history_view) - 1, 2)
]
content = response.choices[0].message.content
for chunk in response:
if len(chunk.choices) > 0 and chunk.choices[0].delta.content is not None:
history[-1]["model"] = chunk.model
history[-1]["content"] = chunk.choices[0].delta.content
messages[-1] = (
messages[-1][0],
messages[-1][1] + chunk.choices[0].delta.content,
)
yield "", messages, state
else:
log.error(f"raw_response: {raw_response.text}")
response = raw_response.parse()
history.append({"role": "assistant", "content": content, "model": response.model})
# extract arch_state from metadata and store it in gradio session state
# this state must be passed back to the gateway in the next request
response_json = json.loads(raw_response.text)
log.info(response_json)
# for gradio UI we don't want to show raw tool calls and messages from developer application
# so we're filtering those out
history_view = [h for h in history if h["role"] != "tool" and "content" in h]
arch_messages = get_arch_messages(response_json)
for arch_message in arch_messages:
history.append(arch_message)
messages = [
(history_view[i]["content"], history_view[i + 1]["content"])
for i in range(0, len(history_view) - 1, 2)
]
content = response.choices[0].message.content
return "", messages, state
history.append(
{"role": "assistant", "content": content, "model": response.model}
)
# for gradio UI we don't want to show raw tool calls and messages from developer application
# so we're filtering those out
history_view = [h for h in history if h["role"] != "tool" and "content" in h]
messages = [
(history_view[i]["content"], history_view[i + 1]["content"])
for i in range(0, len(history_view) - 1, 2)
]
yield "", messages, state
def main():