dosubot[bot]
commented
2 months ago The error you're encountering is due to the seed parameter being passed within the model_kwargs dictionary instead of being specified explicitly. To resolve this, you need to ensure that the seed parameter is passed directly to the ChatOpenAI constructor.
Here's the corrected code for the OpenAIModelComponent class:
import operator
from functools import reduce
from langchain_openai import ChatOpenAI
from pydantic.v1 import SecretStr
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langflow.base.models.openai_constants import MODEL_NAMES
from langflow.field_typing import LanguageModel
from langflow.inputs import (
BoolInput,
DictInput,
DropdownInput,
FloatInput,
IntInput,
MessageInput,
SecretStrInput,
StrInput,
)
class OpenAIModelComponent(LCModelComponent):
display_name = "OpenAI"
description = "Generates text using OpenAI LLMs."
icon = "OpenAI"
name = "OpenAIModel"
inputs = [
MessageInput(name="input_value", display_name="Input"),
IntInput(
name="max_tokens",
display_name="Max Tokens",
advanced=True,
info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
),
DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
BoolInput(
name="json_mode",
display_name="JSON Mode",
advanced=True,
info="If True, it will output JSON regardless of passing a schema.",
),
DictInput(
name="output_schema",
is_list=True,
display_name="Schema",
advanced=True,
info="The schema for the Output of the model. You must pass the word JSON in the prompt. If left blank, JSON mode will be disabled.",
),
DropdownInput(
name="model_name", display_name="Model Name", advanced=False, options=MODEL_NAMES, value=MODEL_NAMES[0]
),
StrInput(
name="openai_api_base",
display_name="OpenAI API Base",
advanced=True,
info="The base URL of the OpenAI API. Defaults to https://api.openai.com/v1. You can change this to use other APIs like JinaChat, LocalAI and Prem.",
),
SecretStrInput(
name="openai_api_key",
display_name="OpenAI API Key",
info="The OpenAI API Key to use for the OpenAI model.",
advanced=False,
value="OPENAI_API_KEY",
),
FloatInput(name="temperature", display_name="Temperature", value=0.1),
BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True),
StrInput(
name="system_message",
display_name="System Message",
info="System message to pass to the model.",
advanced=True,
),
IntInput(
name="seed",
display_name="Seed",
info="The seed controls the reproducibility of the job.",
advanced=True,
value=1,
),
]
def build_model(self) -> LanguageModel: # type: ignore[type-var]
# self.output_schema is a list of dictionaries
# let's convert it to a dictionary
output_schema_dict: dict[str, str] = reduce(operator.ior, self.output_schema or {}, {})
openai_api_key = self.openai_api_key
temperature = self.temperature
model_name: str = self.model_name
max_tokens = self.max_tokens
model_kwargs = self.model_kwargs or {}
openai_api_base = self.openai_api_base or "https://api.openai.com/v1"
json_mode = bool(output_schema_dict) or self.json_mode
seed = self.seed
if openai_api_key:
api_key = SecretStr(openai_api_key)
else:
api_key = None
output = ChatOpenAI(
max_tokens=max_tokens or None,
model_kwargs=model_kwargs,
model=model_name,
base_url=openai_api_base,
api_key=api_key,
temperature=temperature or 0.1,
seed=seed # Pass the seed explicitly
)
if json_mode:
if output_schema_dict:
output = output.with_structured_output(schema=output_schema_dict, method="json_mode") # type: ignore
else:
output = output.bind(response_format={"type": "json_object"}) # type: ignore
return output # type: ignore
def _get_exception_message(self, e: Exception):
"""
Get a message from an OpenAI exception.
Args:
exception (Exception): The exception to get the message from.
Returns:
str: The message from the exception.
"""
try:
from openai import BadRequestError
except ImportError:
return
if isinstance(e, BadRequestError):
message = e.body.get("message") # type: ignore
if message:
return message
returnThis change ensures that the seed parameter is explicitly passed to the ChatOpenAI constructor, resolving the validation error [1].
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Bug Description
Error building Component OpenAI: 1 validation error for ChatOpenAI root Parameters {‘seed’} should be specified explicitly. Instead, they were passed in as part of the model_kwargs parameter. (type=value_error)
Reproduction
Expected behavior
Should execute without error. It was working earlier with 1.0.7post5
Possible Solution: Updated OpenAI Component Code:
Who can help?
@jordanrfrazier
Operating System
MacOs Sonoma 14.3
Langflow Version
ragstack-ai-langflow = "^1.0.10.post0"
Python Version
3.11
Screenshot
1 validation error for ChatOpenAI
root
Parameters {'seed'} should be specified explicitly. Instead they were passed in as part of
model_kwargsparameter.(type=value_error)
Flow File
Basic Prompting (Hello, World).json