| Name | llama-index-tools-azure-cv JSON |
| Version |
0.4.1
JSON |
| download |
| home_page | None |
| Summary | llama-index tools azure_cv integration |
| upload_time | 2025-09-08 20:48:39 |
| maintainer | ajhofmann |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
cv
image
vision
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Azure Computer Vision Tool
This tool connects to a Azure account and allows an Agent to perform a variety of computer vision tasks on image urls.
You will need to set up an api key and computer vision instance using Azure, learn more here: https://azure.microsoft.com/en-ca/products/cognitive-services/computer-vision
## Usage
This tool has a more extensive example usage documented in a Jupyter notebook [here](https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/tools/llama-index-tools-azure-cv/examples/azure_vision.ipynb)
Here's an example usage of the AzureCVToolSpec.
```python
from llama_index.tools.azure_cv import AzureCVToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
tool_spec = AzureCVToolSpec(api_key="your-key", resource="your-resource")
agent = FunctionAgent(
tools=tool_spec.to_tool_list(), llm=OpenAI(model="gpt-4.1")
)
await agent.run(
"caption this image and tell me what tags are in it https://portal.vision.cognitive.azure.com/dist/assets/ImageCaptioningSample1-bbe41ac5.png"
)
await agent.run(
"caption this image and read any text https://portal.vision.cognitive.azure.com/dist/assets/OCR3-4782f088.jpg"
)
```
`process_image`: Send an image for computer vision classification of objects, tags, captioning or OCR.
This loader is designed to be used as a way to load data as a Tool in a Agent.
Raw data
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