griptape-ai / griptape-core

Python framework for LLM middleware tools. Build once, run anywhere: LangChain, ChatGPT Plugins, Fixie.ai, etc.

griptape-core

griptape-core is a Python framework that enables developers to write tools for generative AI middleware once and use it anywhere.

griptape-core is part of griptape, a modular Python framework for integrating data, APIs, tools, memory, and chain of thought reasoning into LLMs.

griptape-core has three core components:

• Tools: call external APIs, access databases, and run arbitrary code or CLI commands.
• Executors: run your tools safely in any environment: local, containerized, or serverless in the cloud.
• Adapters: convert tools into underlying middleware abstractions, such as ChatGPT Plugins, LangChain tools, and Fixie.ai agents.

Documentation

Please refer to Griptape Docs for:

• Getting started guides.
• Core concepts and design overviews.
• Examples.
• Contribution guidelines.

License

griptape-core is available under the Apache 2.0 License.

griptape-core's Issues

Lambda Executor

Check for None type ENV variables in Griptape tools

I'm finding inconsistency in checking for a None value in a method of a griptape tool. The following test script can be used to replicate. When invoking the tool function directly, the None value is checked properly. When passed to the LLM, auth error is received.

import json
from decouple import config
from griptape.core.executors import LocalExecutor
from griptape.tools import WebScraper, Calculator, EmailClient
from skatepark import utils
from skatepark.drivers import OpenAiPromptDriver
from skatepark.memory import PipelineMemory
from skatepark.steps import PromptStep, ToolkitStep
from skatepark.structures import Pipeline
from skatepark.utils import ToolLoader

scraper = WebScraper(
    openai_api_key=config("OPENAI_API_KEY")
)
calculator = Calculator()
email_client = EmailClient(
    smtp_host=config("SMTP_HOST"),
    smtp_port=config("SMTP_PORT"),
    smtp_password=config("SMTP_PASSWORD"),
    smtp_from_email=config("SMTP_FROM_EMAIL"),
    smtp_use_ssl=config("SMTP_USE_SSL", cast=bool),
    imap_url=config("IMAP_URL"),
    imap_user=config("IMAP_USER"),
    password=config("EMAIL_PASSWORD"),
    #imap_password=config("IMAP_PASSWORD"),
    email_max_retrieve_count=config("EMAIL_MAX_RETRIEVE_COUNT", cast=int)
)

pipeline = Pipeline(
    memory=PipelineMemory(),
    prompt_driver=OpenAiPromptDriver(
        model="gpt-4"
    ),
    tool_loader=ToolLoader(
        tools=[calculator, scraper, email_client]
    )
)

pipeline.add_steps(
    ToolkitStep(
        "get emails from my inbox with a subject containing the word test",
        tool_names=[email_client.name]
    )
)
# print(tool_executor.execute(calculator.calculate, b"3*5").decode())
email_test_input = {
    "label": "INBOX",
    "key": "SUBJECT",
    "search_criteria": "test",
    "retrieve_count": 10
}

print(email_client.retrieve(json.dumps(email_test_input).encode()))

pipeline.run()
print(pipeline.memory.runs.pop().output)
#print(utils.Conversation(pipeline.memory.runs.pop().output).to_string())