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title: More tools in Prompt flow
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title: The overview of tools in prompt flow
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titleSuffix: Azure Machine Learning
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description: More tools in Prompt flow are displayed in the table, along with instructions for custom tool package creation and tool package usage.
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description: The overview of tools in prompt flow displays an index table for tools and the instructions for custom tool package creation and tool package usage.
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.date: 10/24/2023
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# More tools in Prompt flow (preview)
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This table provides an index of more tools. If existing tools can't meet your requirements, you can [develop your own custom tool and make a tool package](https://microsoft.github.io/promptflow/how-to-guides/develop-a-tool/create-and-use-tool-package.html).
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# The overview of tools in prompt flow (preview)
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This table provides an index of tools in prompt flow. If existing tools can't meet your requirements, you can [develop your own custom tool and make a tool package](https://microsoft.github.io/promptflow/how-to-guides/develop-a-tool/create-and-use-tool-package.html).
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> [!IMPORTANT]
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> Prompt flow is currently in public preview. This preview is provided without a service-level agreement, and is not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
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> For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
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| Tool name | Description | Environment | Package Name |
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|------|-----------|-------------|--------------|
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|[Python](./python-tool.md)| Run Python code. | Default |--|
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|[LLM](./llm-tool.md)| Use Open AI's Large Language Model for text completion or chat. | Default |--|
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|[Prompt](./prompt-tool.md)| Craft prompt using Jinja as the templating language. | Default |--|
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|[Embedding](./embedding-tool.md)| Use Open AI's embedding model to create an embedding vector representing the input text. | Default |--|
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|[Open Source LLM](./open-source-llm-tool.md)| Use an Open Source model from the Azure Model catalog, deployed to an Azure Machine Learning Online Endpoint for LLM Chat or Completion API calls. | Default |--|
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|[Serp API](./serp-api-tool.md)| Use Serp API to obtain search results from a specific search engine. | Default |--|
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|[Python](./python-tool.md)| Run Python code. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[LLM](./llm-tool.md)| Use Open AI's Large Language Model for text completion or chat. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Prompt](./prompt-tool.md)| Craft prompt using Jinja as the templating language. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Embedding](./embedding-tool.md)| Use Open AI's embedding model to create an embedding vector representing the input text. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Open Source LLM](./open-source-llm-tool.md)| Use an Open Source model from the Azure Model catalog, deployed to an Azure Machine Learning Online Endpoint for LLM Chat or Completion API calls. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Serp API](./serp-api-tool.md)| Use Serp API to obtain search results from a specific search engine. | Default |[promptflow-tools](https://pypi.org/project/promptflow-tools/)|
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|[Content Safety (Text)](./content-safety-text-tool.md)| Use Azure Content Safety to detect harmful content. | Default |[promptflow-contentsafety](https://pypi.org/project/promptflow-contentsafety/)|
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|[Faiss Index Lookup](./faiss-index-lookup-tool.md)| Search vector based query from the FAISS index file. | Default |[promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/)|
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|[Vector DB Lookup](./vector-db-lookup-tool.md)| Search vector based query from existing Vector Database. | Default |[promptflow-vectordb](https://pypi.org/project/promptflow-vectordb/)|
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