delete flow and tool

update

docs/how-to-guides/develop-a-tool/create-and-use-tool-package.md

@@ -164,4 +164,4 @@ Alternatively, you can test your tool package using the script below to ensure t
 ## Advanced features
 [Customize your tool icon](add-a-tool-icon.md)  
 [Add category and tags for tool](add-category-and-tags-for-tool.md)  
-[Use custom LLM tool](use-custom-llm-tool.md)  
+[Create Custom LLM Tool](create-custom-llm-tool.md)  

docs/how-to-guides/develop-a-tool/create-custom-llm-tool.md

@@ -1,15 +1,15 @@
 # Create Custom LLM Tool
 In this document, we will guide you through the process of developing a tool with `custom_llm` type which can connect to a customized large language model with prompt.
 
-Custom LLM is a fine-tuned large language model by yourself. If you find it has good performance and is useful, then you can follow this guidance to make it a tool so that it can be shared with other people to have more impact.
+Custom LLM is a large language model fine-tuned by yourself. If you find it has good performance and is useful, then you can follow this guidance to make it a tool so that it can be shared with other people to have more impact.
 
 ## Prerequisites
 - Please ensure that your `Prompt flow` for VS Code is updated to version 1.2.0 or later.
 
 ## How to create a custom LLM tool
 Here we use [an existing tool package](../../../examples/tools/tool-package-quickstart/my_tool_package) as an example. If you want to create your own tool, please refer to [create and use tool package](create-and-use-tool-package.md).  
 
-### Add a `PromptTemplate` input for your tool, like in [this example](../../../examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py)
+### Add a `PromptTemplate` input to your tool, like in [this example](../../../examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py)
 
 ```python
 from jinja2 import Template
@@ -22,7 +22,7 @@ from promptflow.contracts.types import PromptTemplate
 # 2. Add a PromptTemplate input for your tool method.
 @tool
 def my_tool(connection: CustomConnection, prompt: PromptTemplate, **kwargs) -> str:
-    # 3. The prompt is used for your custom LLM to do inference, customise your own code to handle and use the prompt here.
+    # 3. The prompt is used for your custom LLM to do inference, customize your own code to handle and use the prompt here.
     message = Template(prompt, trim_blocks=True, keep_trailing_newline=True).render(**kwargs)
     return message
 ```
@@ -37,13 +37,13 @@ Here we use [an existing tool](../../../examples/tools/tool-package-quickstart/m
 ```
 cd D:\proj\github\promptflow\examples\tools\tool-package-quickstart
 
-python D:\proj\github\promptflow\scripts\tool\generate_package_tool_meta.py -m my_tool_package.tools.tool_with_custom_llm_type -o my_tool_package\yamls\tool_with_custom_llm_type.yaml -n "Custom LLM Tool" -d "This is a tool to demonstrate the custom_llm tool type" -t "custom_llm"
+python D:\proj\github\promptflow\scripts\tool\generate_package_tool_meta.py -m my_tool_package.tools.tool_with_custom_llm_type -o my_tool_package\yamls\tool_with_custom_llm_type.yaml -n "My Custom LLM Tool" -d "This is a tool to demonstrate the custom_llm tool type" -t "custom_llm"
 ```
-This command will generate YAML as follows:
+This command will generate a YAML file as follows:
 
 ```yaml
 my_tool_package.tools.tool_with_custom_llm_type.my_tool:
-name: Custom LLM Tool
+name: My Custom LLM Tool
 description: This is a tool to demonstrate the custom_llm tool type 
 # The type is custom_llm.
 type: custom_llm
@@ -59,6 +59,5 @@ inputs:
 Follow the steps to [build and install your tool package](create-and-use-tool-package.md#build-and-share-the-tool-package) and [use your tool from VS Code extension](create-and-use-tool-package.md#use-your-tool-from-vscode-extension).  
 
 Here we use an existing flow to demonstrate the experience, open [this flow](../../../examples/flows/standard/custom_llm_tool_showcase/flow.dag.yaml) in VS Code extension.  
-- There is a node named "custom_llm_tool" with a prompt template file. You have the option to either use an existing file or create a new one as the prompt template file.  
-
-![use_custom_llm_tool](../../media/how-to-guides/develop-a-tool/use_custom_llm_tool.png)
+- There is a node named "custom_llm_tool" with a prompt template file. You can either use an existing file or create a new one as the prompt template file.  
+![use_custom_llm_tool](../../media/how-to-guides/develop-a-tool/use_custom_llm_tool.png)

examples/tools/tool-package-quickstart/tests/test_tool_with_file_path_input.py

@@ -7,7 +7,7 @@
 
 @pytest.fixture
 def my_file_path_input() -> FilePath:
-    my_file_path_input = FilePath("tests.test_utils.hello_method.py")
+    my_file_path_input = FilePath(".\\test_utils\\hello_method.py")
     return my_file_path_input