Name | yapr JSON |
Version |
0.1.1
JSON |
| download |
home_page | None |
Summary | Yet another prompt |
upload_time | 2024-04-26 20:31:40 |
maintainer | None |
docs_url | None |
author | Patrick Barker |
requires_python | <4.0,>=3.10 |
license | Apache 2.0 |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
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# yapr
yapr (Yet Another Prompt)
## Installation
```sh
pip install yapr
```
## Usage
A complete chat example
```python
from yapr import LLMProvider, RoleThread
# Create an LLM provider from the API keys found in the current system env vars
llm_provider = LLMProvider.from_env()
# Create a new role based chat thread
thread = RoleThread()
thread.post(role="user", msg="How are you?")
# Chat with the LLM, store the prompt data in the namespace "foo"
response = llm_provider.chat(thread, namespace="foo")
# Add the response message to the thread
thread.add_msg(response.msg)
# Ask for a structured response
from pydantic import BaseModel
class Foo(BaseModel):
bar: str
baz: int
thread.post(role="user", msg="Given the {...} can you return that in JSON?")
# Chat with the LLM, requiring the output be parsable into the Foo object
response = llm_provider.chat(thread, namespace="foo", response_schema=Foo)
# Get the parsed response
foo_parsed = response.parsed
```
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