mirror of
https://github.com/katanemo/plano.git
synced 2026-04-26 09:16:24 +02:00
708fa15a9b
* commiting my hr_agent branch * updating the HR agent config * pushing to remote * fix hr agent * committing to merge with main * updating to merge from main * updating the demo and model-server-tests to pull from poetry * updating the poetry.lock files * updating based on feedback * updated sysmte prompt for hr_agent --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local> Co-authored-by: Adil Hafeez <adil@katanemo.com>
92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
import json
|
|
import hashlib
|
|
import app.commons.constants as const
|
|
|
|
from fastapi import Response
|
|
from pydantic import BaseModel
|
|
from app.commons.utilities import get_model_server_logger
|
|
from typing import Any, Dict, List
|
|
|
|
|
|
logger = get_model_server_logger()
|
|
|
|
|
|
class Message(BaseModel):
|
|
role: str
|
|
content: str = ""
|
|
tool_calls: List[Dict[str, Any]] = []
|
|
tool_call_id: str = ""
|
|
|
|
|
|
class ChatMessage(BaseModel):
|
|
messages: list[Message]
|
|
tools: List[Dict[str, Any]]
|
|
|
|
|
|
def process_messages(history: list[Message]):
|
|
updated_history = []
|
|
for hist in history:
|
|
if hist.tool_calls:
|
|
if len(hist.tool_calls) > 1:
|
|
error_msg = f"Only one tool call is supported, tools counts: {len(hist.tool_calls)}"
|
|
logger.error(error_msg)
|
|
raise ValueError(error_msg)
|
|
tool_call_str = json.dumps(hist.tool_calls[0]["function"])
|
|
updated_history.append(
|
|
{
|
|
"role": "assistant",
|
|
"content": f"<tool_call>\n{tool_call_str}\n</tool_call>",
|
|
}
|
|
)
|
|
elif hist.role == "tool":
|
|
updated_history.append(
|
|
{
|
|
"role": "user",
|
|
"content": f"<tool_response>\n{hist.content}\n</tool_response>",
|
|
}
|
|
)
|
|
else:
|
|
updated_history.append({"role": hist.role, "content": hist.content})
|
|
return updated_history
|
|
|
|
|
|
async def chat_completion(req: ChatMessage, res: Response):
|
|
logger.info("starting request")
|
|
|
|
tools_encoded = const.arch_function_hanlder._format_system(req.tools)
|
|
|
|
messages = [{"role": "system", "content": tools_encoded}]
|
|
|
|
updated_history = process_messages(req.messages)
|
|
for message in updated_history:
|
|
messages.append({"role": message["role"], "content": message["content"]})
|
|
|
|
client_model_name = const.arch_function_client.models.list().data[0].id
|
|
|
|
logger.info(
|
|
f"model_server => arch_function: {client_model_name}, messages: {json.dumps(messages)}"
|
|
)
|
|
|
|
resp = const.arch_function_client.chat.completions.create(
|
|
messages=messages,
|
|
model=client_model_name,
|
|
stream=False,
|
|
extra_body=const.arch_function_generation_params,
|
|
)
|
|
|
|
tool_calls = const.arch_function_hanlder.extract_tool_calls(
|
|
resp.choices[0].message.content
|
|
)
|
|
|
|
if tool_calls:
|
|
resp.choices[0].message.tool_calls = tool_calls
|
|
resp.choices[0].message.content = None
|
|
|
|
logger.info(
|
|
f"model_server <= arch_function: (tools): {json.dumps([tool_call['function'] for tool_call in tool_calls])}"
|
|
)
|
|
logger.info(
|
|
f"model_server <= arch_function: response body: {json.dumps(resp.to_dict())}"
|
|
)
|
|
|
|
return resp
|