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Async

Asynchronous programming is a crucial concept when building applications with LLMs (Large Language Models) using Mirascope. This feature allows for efficient handling of I/O-bound operations (e.g., API calls), improving application responsiveness and scalability. Mirascope utilizes the asyncio library to implement asynchronous processing.

Best Practices

  • Use asyncio for I/O-bound tasks: Async is most beneficial for I/O-bound operations like API calls. It may not provide significant benefits for CPU-bound tasks.
  • Avoid blocking operations: Ensure that you're not using blocking operations within async functions, as this can negate the benefits of asynchronous programming.
  • Consider using connection pools: When making many async requests, consider using connection pools to manage and reuse connections efficiently.
  • Be mindful of rate limits: While async allows for concurrent requests, be aware of API rate limits and implement appropriate throttling if necessary.
  • Use appropriate timeouts: Implement timeouts for async operations to prevent hanging in case of network issues or unresponsive services.
  • Test thoroughly: Async code can introduce subtle bugs. Ensure comprehensive testing of your async implementations.
  • Leverage async context managers: Use async context managers (async with) for managing resources that require setup and cleanup in async contexts.
Diagram illustrating the flow of asynchronous processing
sequenceDiagram
    participant Main as Main Process
    participant API1 as API Call 1
    participant API2 as API Call 2
    participant API3 as API Call 3

    Main->>+API1: Send Request
    Main->>+API2: Send Request
    Main->>+API3: Send Request
    API1-->>-Main: Response
    API2-->>-Main: Response
    API3-->>-Main: Response
    Main->>Main: Process All Responses

Key Terms

  • async: Keyword used to define a function as asynchronous
  • await: Keyword used to wait for the completion of an asynchronous operation
  • asyncio: Python library that supports asynchronous programming

Basic Usage and Syntax

If you haven't already, we recommend first reading the section on Calls

To use async in Mirascope, simply define the function as async and use the await keyword when calling it. Here's a basic example:

import asyncio

from mirascope.core import openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import openai, prompt_template


@openai.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import anthropic, prompt_template


@anthropic.call("claude-3-5-sonnet-20240620")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import mistral, prompt_template


@mistral.call("mistral-large-latest")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import gemini, prompt_template


@gemini.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import groq, prompt_template


@groq.call("llama-3.1-70b-versatile")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import cohere, prompt_template


@cohere.call("command-r-plus")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import litellm, prompt_template


@litellm.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import azure, prompt_template


@azure.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import prompt_template, vertex


@vertex.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import bedrock, prompt_template


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    print(response.content)


asyncio.run(main())

In this example we:

  1. Define recommend_book as an asynchronous function.
  2. Create a main function that calls recommend_book and awaits it.
  3. Use asyncio.run(main()) to start the asynchronous event loop and run the main function.

Parallel Async Calls

One of the main benefits of asynchronous programming is the ability to run multiple operations concurrently. Here's an example of making parallel async calls:

import asyncio

from mirascope.core import openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import Messages, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import openai, prompt_template


@openai.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import anthropic, prompt_template


@anthropic.call("claude-3-5-sonnet-20240620")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import mistral, prompt_template


@mistral.call("mistral-large-latest")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import gemini, prompt_template


@gemini.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import groq, prompt_template


@groq.call("llama-3.1-70b-versatile")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import cohere, prompt_template


@cohere.call("command-r-plus")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import litellm, prompt_template


@litellm.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import azure, prompt_template


@azure.call(model="gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import prompt_template, vertex


@vertex.call("gemini-1.5-flash")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import bedrock, prompt_template


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, openai


@openai.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, gemini


@gemini.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, litellm


@litellm.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, azure


@azure.call(model="gpt-4o-mini")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, vertex


@vertex.call("gemini-1.5-flash")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    genres = ["fantasy", "scifi", "mystery"]
    tasks = [recommend_book(genre) for genre in genres]
    results = await asyncio.gather(*tasks)

    for genre, response in zip(genres, results):
        print(f"({genre}):\n{response.content}\n")


asyncio.run(main())

We are using asyncio.gather to run and await multiple asynchronous tasks concurrently, printing the results for each task one all are completed.

Async Streaming

If you haven't already, we recommend first reading the section on Streams

Streaming with async works similarly to synchronous streaming, but you use async for instead of a regular for loop:

import asyncio

from mirascope.core import openai


@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import anthropic


@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import mistral


@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import gemini


@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import groq


@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import cohere


@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import litellm


@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import azure


@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import vertex


@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, openai


@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, anthropic


@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, mistral


@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, gemini


@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, groq


@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, cohere


@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, litellm


@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, azure


@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, vertex


@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import Messages, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import openai, prompt_template


@openai.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import anthropic, prompt_template


@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import mistral, prompt_template


@mistral.call("mistral-large-latest", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import gemini, prompt_template


@gemini.call("gemini-1.5-flash", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import groq, prompt_template


@groq.call("llama-3.1-70b-versatile", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import cohere, prompt_template


@cohere.call("command-r-plus", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import litellm, prompt_template


@litellm.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import azure, prompt_template


@azure.call(model="gpt-4o-mini", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import prompt_template, vertex


@vertex.call("gemini-1.5-flash", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import bedrock, prompt_template


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, openai


@openai.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, anthropic


@anthropic.call("claude-3-5-sonnet-20240620", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, mistral


@mistral.call("mistral-large-latest", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, gemini


@gemini.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, groq


@groq.call("llama-3.1-70b-versatile", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, cohere


@cohere.call("command-r-plus", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, litellm


@litellm.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, azure


@azure.call(model="gpt-4o-mini", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, vertex


@vertex.call("gemini-1.5-flash", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, bedrock


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", stream=True)
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    stream = await recommend_book("fantasy")
    async for chunk, _ in stream:
        print(chunk.content, end="", flush=True)


asyncio.run(main())

Async Tools

If you haven't already, we recommend first reading the section on Tools

When using tools asynchronously, you can make the call method of a tool async:

import asyncio

from mirascope.core import BaseTool, openai


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, anthropic


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, mistral


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, gemini


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, groq


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, cohere


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, litellm


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, azure


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, vertex


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, bedrock


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> str:
    return f"Recommend a {genre} book"


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, openai


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, anthropic


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, mistral


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, gemini


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, groq


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, cohere


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, litellm


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, azure


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, vertex


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, Messages, bedrock


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, openai, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@openai.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, anthropic, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, mistral, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@mistral.call("mistral-large-latest", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, gemini, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@gemini.call("gemini-1.5-flash", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, groq, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, cohere, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@cohere.call("command-r-plus", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, litellm, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, azure, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@azure.call(model="gpt-4o-mini", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, prompt_template, vertex


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@vertex.call("gemini-1.5-flash", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseTool, bedrock, prompt_template


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str): ...


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, openai


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@openai.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, anthropic


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@anthropic.call("claude-3-5-sonnet-20240620", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, mistral


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@mistral.call("mistral-large-latest", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, gemini


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@gemini.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, groq


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@groq.call("llama-3.1-70b-versatile", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, cohere


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@cohere.call("command-r-plus", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, litellm


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@litellm.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, azure


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@azure.call(model="gpt-4o-mini", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, vertex


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@vertex.call("gemini-1.5-flash", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())
import asyncio

from mirascope.core import BaseMessageParam, BaseTool, bedrock


class FormatBook(BaseTool):
    title: str
    author: str

    async def call(self) -> str:
        # Simulating an async API call
        await asyncio.sleep(1)
        return f"{self.title} by {self.author}"


@bedrock.call(model="anthropic.claude-3-haiku-20240307-v1:0", tools=[FormatBook])
async def recommend_book(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]


async def main():
    response = await recommend_book("fantasy")
    if tool := response.tool:
        if isinstance(tool, FormatBook):
            output = await tool.call()
            print(output)
    else:
        print(response.content)


asyncio.run(main())

It's important to note that in this example we use isinstance(tool, FormatBook) to ensure the call method can be awaited safely. This also gives us proper type hints and editor support.

Custom Client

When using custom clients with async calls, it's crucial to use the asynchronous version of the client. You can provide the async client either through the decorator or dynamic configuration:

Decorator Parameter:

from mirascope.core import openai
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini", client=AsyncOpenAI())
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from anthropic import AsyncAnthropic
from mirascope.core import anthropic


@anthropic.call("claude-3-5-sonnet-20240620", client=AsyncAnthropic())
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
import os

from mirascope.core import mistral
from mistralai import Mistral


@mistral.call(
    "mistral-large-latest", client=Mistral(api_key=os.environ["MISTRAL_API_KEY"])
)
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from google.generativeai import GenerativeModel
from mirascope.core import gemini


@gemini.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from groq import AsyncGroq
from mirascope.core import groq


@groq.call("llama-3.1-70b-versatile", client=AsyncGroq())
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from cohere import AsyncClient
from mirascope.core import cohere


@cohere.call("command-r-plus", client=AsyncClient())
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure


@azure.call(
    "gpt-4o-mini",
    client=AsyncChatCompletionsClient(
        endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
    ),
)
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from mirascope.core import vertex
from vertexai.generative_models import GenerativeModel


@vertex.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
import asyncio

from mirascope.core import bedrock
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call(
    "anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> str:
    return f"Recommend a {genre} book"
from mirascope.core import Messages, openai
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini", client=AsyncOpenAI())
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from anthropic import AsyncAnthropic
from mirascope.core import Messages, anthropic


@anthropic.call("claude-3-5-sonnet-20240620", client=AsyncAnthropic())
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
import os

from mirascope.core import Messages, mistral
from mistralai import Mistral


@mistral.call(
    "mistral-large-latest", client=Mistral(api_key=os.environ["MISTRAL_API_KEY"])
)
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from google.generativeai import GenerativeModel
from mirascope.core import Messages, gemini


@gemini.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from groq import AsyncGroq
from mirascope.core import Messages, groq


@groq.call("llama-3.1-70b-versatile", client=AsyncGroq())
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from cohere import AsyncClient
from mirascope.core import Messages, cohere


@cohere.call("command-r-plus", client=AsyncClient())
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import Messages, azure


@azure.call(
    "gpt-4o-mini",
    client=AsyncChatCompletionsClient(
        endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
    ),
)
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from mirascope.core import Messages, vertex
from vertexai.generative_models import GenerativeModel


@vertex.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
import asyncio

from mirascope.core import Messages, bedrock
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call(
    "anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> Messages.Type:
    return Messages.User(f"Recommend a {genre} book")
from mirascope.core import openai, prompt_template
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini", client=AsyncOpenAI())
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from anthropic import AsyncAnthropic
from mirascope.core import anthropic, prompt_template


@anthropic.call("claude-3-5-sonnet-20240620", client=AsyncAnthropic())
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
import os

from mirascope.core import mistral, prompt_template
from mistralai import Mistral


@mistral.call(
    "mistral-large-latest", client=Mistral(api_key=os.environ["MISTRAL_API_KEY"])
)
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from google.generativeai import GenerativeModel
from mirascope.core import gemini, prompt_template


@gemini.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from groq import AsyncGroq
from mirascope.core import groq, prompt_template


@groq.call("llama-3.1-70b-versatile", client=AsyncGroq())
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from cohere import AsyncClient
from mirascope.core import cohere, prompt_template


@cohere.call("command-r-plus", client=AsyncClient())
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, prompt_template


@azure.call(
    "gpt-4o-mini",
    client=AsyncChatCompletionsClient(
        endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
    ),
)
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from mirascope.core import prompt_template, vertex
from vertexai.generative_models import GenerativeModel


@vertex.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
import asyncio

from mirascope.core import bedrock, prompt_template
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call(
    "anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
@prompt_template("Recommend a {genre} book")
async def recommend_book_async(genre: str): ...
from mirascope.core import BaseMessageParam, openai
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini", client=AsyncOpenAI())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from anthropic import AsyncAnthropic
from mirascope.core import BaseMessageParam, anthropic


@anthropic.call("claude-3-5-sonnet-20240620", client=AsyncAnthropic())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
import os

from mirascope.core import BaseMessageParam, mistral
from mistralai import Mistral


@mistral.call(
    "mistral-large-latest", client=Mistral(api_key=os.environ["MISTRAL_API_KEY"])
)
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from google.generativeai import GenerativeModel
from mirascope.core import BaseMessageParam, gemini


@gemini.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from groq import AsyncGroq
from mirascope.core import BaseMessageParam, groq


@groq.call("llama-3.1-70b-versatile", client=AsyncGroq())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from cohere import AsyncClient
from mirascope.core import BaseMessageParam, cohere


@cohere.call("command-r-plus", client=AsyncClient())
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import BaseMessageParam, azure


@azure.call(
    "gpt-4o-mini",
    client=AsyncChatCompletionsClient(
        endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
    ),
)
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
from mirascope.core import BaseMessageParam, vertex
from vertexai.generative_models import GenerativeModel


@vertex.call("", client=GenerativeModel(model_name="gemini-1.5-flash"))
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]
import asyncio

from mirascope.core import BaseMessageParam, bedrock
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call(
    "anthropic.claude-3-haiku-20240307-v1:0", client=asyncio.run(get_async_client())
)
async def recommend_book_async(genre: str) -> list[BaseMessageParam]:
    return [BaseMessageParam(role="user", content=f"Recommend a {genre} book")]

Dynamic Configuration:

from mirascope.core import openai, Messages
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini")
async def recommend_book(genre: str) -> openai.AsyncOpenAIDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncOpenAI(),
    }
from anthropic import AsyncAnthropic
from mirascope.core import anthropic, Messages


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncAnthropic(),
    }
import os

from mirascope.core import mistral, Messages
from mistralai import Mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> mistral.MistralDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": Mistral(api_key=os.environ["MISTRAL_API_KEY"]),
    }
from google.generativeai import GenerativeModel
from mirascope.core import gemini, Messages


@gemini.call("")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": GenerativeModel(model_name="gemini-1.5-flash"),
    }
from groq import AsyncGroq
from mirascope.core import groq, Messages


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> groq.AsyncGroqDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncGroq(),
    }
from cohere import AsyncClient
from mirascope.core import cohere, Messages


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> cohere.AsyncCohereDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncClient(),
    }
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, Messages


@azure.call("gpt-4o-mini")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncChatCompletionsClient(
            endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
        ),
    }
from mirascope.core import vertex, Messages
from vertexai.generative_models import GenerativeModel


@vertex.call("")
def recommend_book(genre: str) -> vertex.VertexDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": GenerativeModel(model_name="gemini-1.5-flash"),
    }
from mirascope.core import bedrock, Messages
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": await get_async_client(),
    }
from mirascope.core import Messages, openai
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini")
async def recommend_book(genre: str) -> openai.AsyncOpenAIDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncOpenAI(),
    }
from anthropic import AsyncAnthropic
from mirascope.core import Messages, anthropic


@anthropic.call("claude-3-5-sonnet-20240620")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncAnthropic(),
    }
import os

from mirascope.core import Messages, mistral
from mistralai import Mistral


@mistral.call("mistral-large-latest")
async def recommend_book(genre: str) -> mistral.MistralDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": Mistral(api_key=os.environ["MISTRAL_API_KEY"]),
    }
from google.generativeai import GenerativeModel
from mirascope.core import Messages, gemini


@gemini.call("")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": GenerativeModel(model_name="gemini-1.5-flash"),
    }
from groq import AsyncGroq
from mirascope.core import Messages, groq


@groq.call("llama-3.1-70b-versatile")
async def recommend_book(genre: str) -> groq.AsyncGroqDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncGroq(),
    }
from cohere import AsyncClient
from mirascope.core import Messages, cohere


@cohere.call("command-r-plus")
async def recommend_book(genre: str) -> cohere.AsyncCohereDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncClient(),
    }
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import Messages, azure


@azure.call("gpt-4o-mini")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": AsyncChatCompletionsClient(
            endpoint="your-endpoint", credential=AzureKeyCredential("your-credentials")
        ),
    }
from mirascope.core import Messages, vertex
from vertexai.generative_models import GenerativeModel


@vertex.call("")
def recommend_book(genre: str) -> vertex.VertexDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": GenerativeModel(model_name="gemini-1.5-flash"),
    }
from mirascope.core import bedrock, Messages
from aiobotocore.session import get_session


async def get_async_client():
    session = get_session()
    async with session.create_client("bedrock-runtime") as client:
        return client


@bedrock.call("anthropic.claude-3-haiku-20240307-v1:0")
async def recommend_book(genre: str) -> bedrock.AsyncBedrockDynamicConfig:
    return {
        "messages": [Messages.User(f"Recommend a {genre} book")],
        "client": await get_async_client(),
    }
from mirascope.core import openai, prompt_template
from openai import AsyncOpenAI


@openai.call("gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> openai.AsyncOpenAIDynamicConfig:
    return {
        "client": AsyncOpenAI(),
    }
from anthropic import AsyncAnthropic
from mirascope.core import anthropic, prompt_template


@anthropic.call("claude-3-5-sonnet-20240620")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> anthropic.AsyncAnthropicDynamicConfig:
    return {
        "client": AsyncAnthropic(),
    }
import os

from mirascope.core import mistral, prompt_template
from mistralai import Mistral


@mistral.call("mistral-large-latest")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> mistral.MistralDynamicConfig:
    return {
        "client": Mistral(api_key=os.environ["MISTRAL_API_KEY"]),
    }
from google.generativeai import GenerativeModel
from mirascope.core import gemini, prompt_template


@gemini.call("")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> gemini.GeminiDynamicConfig:
    return {
        "client": GenerativeModel(model_name="gemini-1.5-flash"),
    }
from groq import AsyncGroq
from mirascope.core import groq, prompt_template


@groq.call("llama-3.1-70b-versatile")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> groq.AsyncGroqDynamicConfig:
    return {
        "client": AsyncGroq(),
    }
from cohere import AsyncClient
from mirascope.core import cohere, prompt_template


@cohere.call("command-r-plus")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> cohere.AsyncCohereDynamicConfig:
    return {
        "client": AsyncClient(),
    }
# Not Supported
from azure.ai.inference.aio import ChatCompletionsClient as AsyncChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from mirascope.core import azure, prompt_template


@azure.call("gpt-4o-mini")
@prompt_template("Recommend a {genre} book")
async def recommend_book(genre: str) -> azure.AsyncAzureDynamicConfig:
    return {
        "client": AsyncChatCompletionsClient(
            endpoint="your-endpoint", credential=AzureKeyCredential