# Prompt flow tools
[![Python package](https://img.shields.io/pypi/v/promptflow-tools)](https://pypi.org/project/promptflow-tools/)
[![License: MIT](https://img.shields.io/github/license/microsoft/promptflow)](https://github.com/microsoft/promptflow/blob/main/LICENSE)
## Introduction
Tools are the fundamental building blocks of a flow in Azure Machine Learning prompt flow. Each tool is a simple, executable unit with a specific function, allowing users to perform various tasks. By combining different tools, users can create a flow that accomplishes a wide range of goals. One of the key benefit of prompt flow tools is their seamless integration with third-party APIs and python open source packages. This not only improves the functionality of large language models but also makes the development process more efficient.
In this package, we provide a set of builtin tools of prompt flow, which are the most commonly used tools in the development of AI applications. We also provide a flexible way for users to create their own tools and share them with others. See [Create and Use Tool Package](https://github.com/microsoft/promptflow/blob/main/docs/how-to-guides/develop-a-tool/create-and-use-tool-package.md) for more details.
# Release History
## 1.4.0 (2024.03.26)
### Features Added
- Enable token based auth in azure openai connection for tools.
- Add "seed" to LLM and GPT-Vision tool inputs.
### Improvements
- Improve error message when LLM tool meets gpt-4-vision-preview model.
### Bugs Fixed
- Set default values to workspace triad parameters of dynamic list function to avoid misleading errors when clicking tool input.
## 1.3.0 (2024.03.01)
### Improvements
- Disable openai built-in retry mechanism for better debuggability and real-time status updates.
- Refine the retry-after interval for openai retry error.
## 1.2.0 (2024.02.07)
### Features Added
- Support tool "Azure OpenAI GPT-4 Turbo with Vision" to auto list "deployment_name".
### Improvements
- Match the promptflow-tools setup to promptflow setup.
## 1.1.0 (2024.01.23)
### Features Added
- Use ruamel.yaml instead of pyyaml in promptflow.
## 1.0.3 (2024.01.08)
### Features Added
- Add new tool "Azure OpenAI GPT-4 Turbo with Vision".
- Support "response_format" for azure openai chat api in LLM tool.
## 1.0.1 (2023.12.13)
### Features Added
- Support "response_format" for openai chat api in LLM tool.
- Add "allow_manual_entry" for embedding tool.
### Improvements
- Handle all OpenSource\HuggingFace Models with the same MIR request format in 'Open Model LLM' tool.
## 1.0.0 (2023.11.30)
### Features Added
- Support openai 1.x in promptflow-tools.
- Add new tool "OpenAI GPT-4V".
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"description": "# Prompt flow tools\r\n\r\n[![Python package](https://img.shields.io/pypi/v/promptflow-tools)](https://pypi.org/project/promptflow-tools/)\r\n[![License: MIT](https://img.shields.io/github/license/microsoft/promptflow)](https://github.com/microsoft/promptflow/blob/main/LICENSE)\r\n\r\n## Introduction\r\n\r\nTools are the fundamental building blocks of a flow in Azure Machine Learning prompt flow. Each tool is a simple, executable unit with a specific function, allowing users to perform various tasks. By combining different tools, users can create a flow that accomplishes a wide range of goals. One of the key benefit of prompt flow tools is their seamless integration with third-party APIs and python open source packages. This not only improves the functionality of large language models but also makes the development process more efficient.\r\n\r\nIn this package, we provide a set of builtin tools of prompt flow, which are the most commonly used tools in the development of AI applications. We also provide a flexible way for users to create their own tools and share them with others. See [Create and Use Tool Package](https://github.com/microsoft/promptflow/blob/main/docs/how-to-guides/develop-a-tool/create-and-use-tool-package.md) for more details.\r\n\r\n\r\n# Release History\r\n\r\n## 1.4.0 (2024.03.26)\r\n\r\n### Features Added\r\n- Enable token based auth in azure openai connection for tools.\r\n- Add \"seed\" to LLM and GPT-Vision tool inputs.\r\n\r\n### Improvements\r\n- Improve error message when LLM tool meets gpt-4-vision-preview model.\r\n\r\n### Bugs Fixed\r\n- Set default values to workspace triad parameters of dynamic list function to avoid misleading errors when clicking tool input.\r\n\r\n## 1.3.0 (2024.03.01)\r\n\r\n### Improvements\r\n- Disable openai built-in retry mechanism for better debuggability and real-time status updates.\r\n- Refine the retry-after interval for openai retry error.\r\n\r\n## 1.2.0 (2024.02.07)\r\n\r\n### Features Added\r\n- Support tool \"Azure OpenAI GPT-4 Turbo with Vision\" to auto list \"deployment_name\".\r\n\r\n### Improvements\r\n- Match the promptflow-tools setup to promptflow setup.\r\n\r\n## 1.1.0 (2024.01.23)\r\n\r\n### Features Added\r\n- Use ruamel.yaml instead of pyyaml in promptflow.\r\n\r\n## 1.0.3 (2024.01.08)\r\n\r\n### Features Added\r\n- Add new tool \"Azure OpenAI GPT-4 Turbo with Vision\".\r\n- Support \"response_format\" for azure openai chat api in LLM tool.\r\n\r\n## 1.0.1 (2023.12.13)\r\n\r\n### Features Added\r\n- Support \"response_format\" for openai chat api in LLM tool.\r\n- Add \"allow_manual_entry\" for embedding tool.\r\n\r\n### Improvements\r\n- Handle all OpenSource\\HuggingFace Models with the same MIR request format in 'Open Model LLM' tool.\r\n\r\n## 1.0.0 (2023.11.30)\r\n\r\n### Features Added\r\n- Support openai 1.x in promptflow-tools.\r\n- Add new tool \"OpenAI GPT-4V\".\r\n",
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