semvec/pypi-packages huggingface dataset:
databricks-vectorsearch 0.66
Databricks Vector Search Client
Requires Python: >=3.7

**DB license**

Copyright (2022) Databricks, Inc.

This library (the "Software") may not be used except in connection with the Licensee's use of the Databricks Platform Services
pursuant to an Agreement (defined below) between Licensee (defined below) and Databricks, Inc. ("Databricks"). This Software
shall be deemed part of the Downloadable Services under the Agreement, or if the Agreement does not define Downloadable Services,
Subscription Services, or if neither are defined then the term in such Agreement that refers to the applicable Databricks Platform
Services (as defined below) shall be substituted herein for "Downloadable Services". Licensee's use of the Software must comply at
all times with any restrictions applicable to the Downlodable Services and Subscription Services, generally, and must be used in
accordance with any applicable documentation.

Additionally, and notwithstanding anything in the Agreement to the contrary:
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
  OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
  LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
  IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

If you have not agreed to an Agreement or otherwise do not agree to these terms, you may not use the Software.

This license terminates automatically upon the termination of the Agreement or Licensee's breach of these terms.

Agreement: the agreement between Databricks and Licensee governing the use of the Databricks Platform Services, which shall be, with
respect to Databricks, the Databricks Terms of Service located at www.databricks.com/termsofservice, and with respect to Databricks
Community Edition, the Community Edition Terms of Service located at www.databricks.com/ce-termsofuse, in each case unless Licensee
has entered into a separate written agreement with Databricks governing the use of the applicable Databricks Platform Services.

Databricks Platform Services: the Databricks services or the Databricks Community Edition services, according to where the Software is used.

Licensee: the user of the Software, or, if the Software is being used on behalf of a company, the company.
anima-reachy-conversation 0.0.1
Emotional expression for Reachy Mini Conversation App through Anima
Requires Python: >=3.12

# Anima behavior manifold for the Reachy Mini Conversation App  

Keeping this sparse as I expect that most people will come to this through related examples, but if use cases come up I'll update accordingly. 

See [ANIMA](https://github.com/brainwavecollective/anima-engine) for more info.
pydantic-graph 1.62.0
Graph and state machine library
Requires Python: >=3.10

# Pydantic Graph

[![CI](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml/badge.svg?event=push)](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml?query=branch%3Amain)
[![Coverage](https://coverage-badge.samuelcolvin.workers.dev/pydantic/pydantic-ai.svg)](https://coverage-badge.samuelcolvin.workers.dev/redirect/pydantic/pydantic-ai)
[![PyPI](https://img.shields.io/pypi/v/pydantic-graph.svg)](https://pypi.python.org/pypi/pydantic-graph)
[![python versions](https://img.shields.io/pypi/pyversions/pydantic-graph.svg)](https://github.com/pydantic/pydantic-ai)
[![license](https://img.shields.io/github/license/pydantic/pydantic-ai.svg)](https://github.com/pydantic/pydantic-ai/blob/main/LICENSE)

Graph and finite state machine library.

This library is developed as part of [Pydantic AI](https://ai.pydantic.dev), however it has no dependency
on `pydantic-ai` or related packages and can be considered as a pure graph-based state machine library. You may find it useful whether or not you're using Pydantic AI or even building with GenAI.

As with Pydantic AI, this library prioritizes type safety and use of common Python syntax over esoteric, domain-specific use of Python syntax.

`pydantic-graph` allows you to define graphs using standard Python syntax. In particular, edges are defined using the return type hint of nodes.

Full documentation is available at [ai.pydantic.dev/graph](https://ai.pydantic.dev/graph).

Here's a basic example:

```python {noqa="I001"}
from __future__ import annotations

from dataclasses import dataclass

from pydantic_graph import BaseNode, End, Graph, GraphRunContext


@dataclass
class DivisibleBy5(BaseNode[None, None, int]):
    foo: int

    async def run(
        self,
        ctx: GraphRunContext,
    ) -> Increment | End[int]:
        if self.foo % 5 == 0:
            return End(self.foo)
        else:
            return Increment(self.foo)


@dataclass
class Increment(BaseNode):
    foo: int

    async def run(self, ctx: GraphRunContext) -> DivisibleBy5:
        return DivisibleBy5(self.foo + 1)


fives_graph = Graph(nodes=[DivisibleBy5, Increment])
result = fives_graph.run_sync(DivisibleBy5(4))
print(result.output)
#> 5
```
pydantic-ai-slim 1.62.0
Agent Framework / shim to use Pydantic with LLMs, slim package
Requires Python: >=3.10

# Pydantic AI Slim

[![CI](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml/badge.svg?event=push)](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml?query=branch%3Amain)
[![Coverage](https://coverage-badge.samuelcolvin.workers.dev/pydantic/pydantic-ai.svg)](https://coverage-badge.samuelcolvin.workers.dev/redirect/pydantic/pydantic-ai)
[![PyPI](https://img.shields.io/pypi/v/pydantic-ai-slim.svg)](https://pypi.python.org/pypi/pydantic-ai-slim)
[![versions](https://img.shields.io/pypi/pyversions/pydantic-ai-slim.svg)](https://github.com/pydantic/pydantic-ai)
[![license](https://img.shields.io/github/license/pydantic/pydantic-ai.svg?v)](https://github.com/pydantic/pydantic-ai/blob/main/LICENSE)

Pydantic AI core logic with minimal required dependencies.

For more information on how to use this package see [ai.pydantic.dev/install](https://ai.pydantic.dev/install/).
pydantic-ai-examples 1.62.0
Examples of how to use Pydantic AI and what it can do.
Requires Python: >=3.10

# Pydantic AI Examples

[![CI](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml/badge.svg?event=push)](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml?query=branch%3Amain)
[![Coverage](https://coverage-badge.samuelcolvin.workers.dev/pydantic/pydantic-ai.svg)](https://coverage-badge.samuelcolvin.workers.dev/redirect/pydantic/pydantic-ai)
[![PyPI](https://img.shields.io/pypi/v/pydantic-ai.svg)](https://pypi.python.org/pypi/pydantic-ai)
[![versions](https://img.shields.io/pypi/pyversions/pydantic-ai.svg)](https://github.com/pydantic/pydantic-ai)
[![license](https://img.shields.io/github/license/pydantic/pydantic-ai.svg?v)](https://github.com/pydantic/pydantic-ai/blob/main/LICENSE)

Examples of how to use Pydantic AI and what it can do.

For full documentation of these examples and how to run them, see [ai.pydantic.dev/examples/](https://ai.pydantic.dev/examples/).