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Add PythonREPLToolComponent to tools/__init__.py and create PythonREPLTool.py (#1639)

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* re-add --fix

* Add PythonREPLToolComponent to tools/__init__.py and create PythonREPLTool.py

* Refactor PythonREPLToolComponent to use build_status_from_tool in PythonREPLTool.py

* Refactor model_specs imports in ChatLiteLLMSpecs.py

* Refactor imports in various files

* Refactor model_specs imports and class names in AnthropicLLMSpecs.py and AnthropicSpecs.py
This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-04-08 16:51:03 -03:00 • committed by GitHub
commit 83c915916d
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31 changed files with 245 additions and 243 deletions
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4
src/frontend/tests/custom_component_full.ts
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@ -1,6 +1,6 @@
export const custom = `from langflow.custom import CustomComponent
from langchain.llms.base import BaseLLM
from langflow.field_typing import BaseLanguageModel
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain_core.documents import Document
@ -15,6 +15,6 @@ class YourComponent(CustomComponent):
def build_config(self):
return { "file": { "file_type": ["json"], } }
def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLLM, prompt: PromptTemplate) -> Document:
def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLanguageModel, prompt: PromptTemplate) -> Document:
return "test"`;

4
src/frontend/tests/end-to-end/dropdownComponent.spec.ts
View file

@ -177,7 +177,7 @@ test("dropDownComponent", async ({ page }) => {
.click();
await page.locator("textarea").press("Control+a");
const emptyOptionsCode = `from typing import Optional
from langchain.llms.base import BaseLLM
from langflow.field_typing import BaseLanguageModel
from langchain_community.llms.bedrock import Bedrock
from langflow.interface.custom.custom_component import CustomComponent
@ -212,7 +212,7 @@ class AmazonBedrockComponent(CustomComponent):
endpoint_url: Optional[str] = None,
streaming: bool = False,
cache: Optional[bool] = None,
) -> BaseLLM:
) -> BaseLanguageModel:
try:
output = Bedrock(
credentials_profile_name=credentials_profile_name,