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Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

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Currently, we have events for prompts, tasks, and subtasks. What other events should we add to to the framework?

question

Tool activities can use `schema.Optional` fields with `default`s set by the tool creator. Today, tool creators have to manually check for the value passed by the LLM and then manually...

enhancement

Research and add support for pagination to all AWS tools.

bug

Multiple Griptape classes have `Callable` properties. We use the following naming convention for them: 1. `_func`. For example `SnowflakeSqlDriver.connection_func`. 2. `_fn`. For example, `LocalVectorStoreDriver.relatedness_fn`. 3. Method-like. For example, `BasePromptDriver.prompt_stack_to_string`. The...

enhancement

Core Actions 1. list sheets 2. check permissions 3. create sheet (service account) 4. share sheet

enhancement

Developers want to debug their Griptape applications without having to add logs themselves. I propose adding `logging.debug` statements throughout the framework in critical areas like Drivers, and Tokenizers. https://github.com/griptape-ai/griptape/issues/266

enhancement

**Is your feature request related to a problem? Please describe.** [Top P](https://docs.cohere.com/docs/controlling-generation-with-top-k-top-p) is a common parameter to be passed to LLM when generating a completion of a prompt. **Describe the...

enhancement

Since we extracted multi-model support for prompt drivers into `BaseMultiModelPromptDriver`, the following Hugging Face drivers need to be updated to support it: * `HuggingFaceHubPromptDriver` * `HuggingFacePipelinePromptDriver`

enhancement

**Is your feature request related to a problem? Please describe.** When creating a pipeline you sometimes want to get the output from a task that's not the direct parent of...

enhancement