CoreAI Types
This package provides the essential Pydantic models and data structures needed to develop custom MCP Servers that interact with the CoreAI platform.
By using core-ai-types, you ensure that the tools and services you build are fully compatible with CoreAI's data contracts. This enables seamless integration, type safety, and a more efficient development experience with auto-completion in your IDE.
Requirements
- Python 3.12 or higher
Installation
Install the package using uv or your preferred Python package manager:
uv add core-ai-types
Metadata
Release files for core-ai-types 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| core_ai_types-0.2.2.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| core_ai_types-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.7 kB
Release files / core_ai_types-0.2.2.tar.gz
| Download URL | core_ai_types-0.2.2.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.7.2
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Release files / core_ai_types-0.2.2-py3-none-any.whl
| Download URL | core_ai_types-0.2.2-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.7.2
|