ai-exchange 0.8.3

a uniform python SDK for message generation with LLMs

Example • Plugins

Exchange - a uniform python SDK for message generation with LLMs

• Provides a flexible layer for message handling and generation
• Directly integrates python functions into tool calling
• Persistently surfaces errors to the underlying models to support reflection

Example

[!NOTE] Before you can run this example, you need to setup an API key with export OPENAI_API_KEY=your-key-here

from exchange import Exchange, Message, Tool
from exchange.providers import OpenAiProvider

def word_count(text: str):
    """Get the count of words in text

    Args:
        text (str): The text with words to count
    """
    return len(text.split(" "))

ex = Exchange(
    provider=OpenAiProvider.from_env(),
    model="gpt-4o",
    system="You are a helpful assistant.",
    tools=[Tool.from_function(word_count)],
)
ex.add(Message.user("Count the number of words in this current message"))

# The model sees it has a word count tool, and should use it along the way to answer
# This will call all the tools as needed until the model replies with the final result
reply = ex.reply()
print(reply.text)

# you can see all the tool calls in the message history
print(ex.messages)

Plugins

exchange has a plugin mechanism to add support for additional providers and moderators. If you need a provider not supported here, we'd be happy to review contributions. But you can also consider building and using your own plugin.

To create a Provider plugin, subclass exchange.provider.Provider. You will need to implement the complete method. For example this is what we use as a mock in our tests. You can see a full implementation example of the OpenAiProvider. We also generally recommend implementing a from_env classmethod to instantiate the provider.

class MockProvider(Provider):
    def __init__(self, sequence: List[Message]):
        # We'll use init to provide a preplanned reply sequence
        self.sequence = sequence
        self.call_count = 0

    def complete(
        self, model: str, system: str, messages: List[Message], tools: List[Tool]
    ) -> Message:
        output = self.sequence[self.call_count]
        self.call_count += 1
        return output

Then use python packaging's entrypoints to register your plugin.

[project.entry-points.'exchange.provider']
example = 'path.to.plugin:ExampleProvider'

Your plugin will then be available in your application or other applications built on exchange through:

from exchange.providers import get_provider

provider = get_provider('example').from_env()