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multiple: pydantic 2 compatibility, v0.3 (#26443)

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Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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49
libs/partners/fireworks/langchain_fireworks/llms.py
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@@ -10,13 +10,9 @@ from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import (
convert_to_secret_str,
get_from_dict_or_env,
get_pydantic_field_names,
)
from langchain_core.utils.utils import build_extra_kwargs
from langchain_core.utils import get_pydantic_field_names
from langchain_core.utils.utils import build_extra_kwargs, secret_from_env
from pydantic import ConfigDict, Field, SecretStr, model_validator
from langchain_fireworks.version import __version__
@@ -39,8 +35,21 @@ class Fireworks(LLM):
base_url: str = "https://api.fireworks.ai/inference/v1/completions"
"""Base inference API URL."""
fireworks_api_key: SecretStr = Field(default=None, alias="api_key")
"""Fireworks AI API key. Get it here: https://fireworks.ai"""
fireworks_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env(
"FIREWORKS_API_KEY",
error_message=(
"You must specify an api key. "
"You can pass it an argument as `api_key=...` or "
"set the environment variable `FIREWORKS_API_KEY`."
),
),
)
"""Fireworks API key.
Automatically read from env variable `FIREWORKS_API_KEY` if not provided.
"""
model: str
"""Model name. Available models listed here:
https://readme.fireworks.ai/
@@ -74,14 +83,14 @@ class Fireworks(LLM):
the response for each token generation step.
"""
class Config:
"""Configuration for this pydantic object."""
model_config = ConfigDict(
extra="forbid",
populate_by_name=True,
)
extra = "forbid"
allow_population_by_field_name = True
@root_validator(pre=True)
def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
@model_validator(mode="before")
@classmethod
def build_extra(cls, values: Dict[str, Any]) -> Any:
"""Build extra kwargs from additional params that were passed in."""
all_required_field_names = get_pydantic_field_names(cls)
extra = values.get("model_kwargs", {})
@@ -90,14 +99,6 @@ class Fireworks(LLM):
)
return values
@root_validator(pre=False, skip_on_failure=True)
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key exists in environment."""
values["fireworks_api_key"] = convert_to_secret_str(
get_from_dict_or_env(values, "fireworks_api_key", "FIREWORKS_API_KEY")
)
return values
@property
def _llm_type(self) -> str:
"""Return type of model."""