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The Griptape framework provides developers with the ability to create AI systems that operate across two dimensions: predictability and creativity. For predictability, Griptape enforces structures like sequential pipelines, DAG-based workflows, and long-term memory. To facilitate creativity, Griptape safely prompts LLMs with tools (keeping output data off prompt by using short-term memory), which connects them to external APIs and data stores. The framework allows developers to transition between those two dimensions effortlessly based on their use case. Griptape not only helps developers harness the potential of LLMs but also enforces trust boundaries, schema validation, and tool activity-level permissions. By doing so, Griptape maximizes LLMs’ reasoning while adhering to strict policies regarding their capabilities.
Features
- Griptape introduced several breaking changes in v0.15
- griptape-tools was merged into griptape
- You can remove griptape-tools from your dependencies
- With Griptape, you can create structures, such as Agents, Pipelines, and Workflows, that are composed of different types of tasks
- By default, Griptape uses OpenAI's gpt-4 to drive the core agent logic
- Griptape is available under the Apache 2.0 License
Project Samples
