Project
Reverse Dependencies for tocer
The projects listed here declare tocer as a runtime or development dependency
0.02
Enhanced application performance with faster reads, data redundancy,
and reduced backpressure on the outer cache store.
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0.02
Enforceable contracts for jobs
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0.02
LocalBus is a lightweight yet powerful pub/sub system for Ruby applications that enables decoupled communication within a single process.
It offers both non-blocking I/O and thread pool processing modes, robust error handling, and fine-grained concurrency controls.
Perfect for organizing event-driven architectures, handling background jobs, and managing complex workflows without external dependencies."
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0.01
CLI Templating System and String Formatter
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0.01
A command line interface for smithing Ruby projects.
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0.0
A command-line AI Assistante (aia) that provides pre-compositional template prompt management to various backend gen-AI processes such as llm, mods and sgpt support processing of prompts both via remote API calls as well as keeping everything local through the use of locally managed models and the LocalAI API. Complete shell integration allows a prompt to access system environment variables and execut shell commands as part of the prompt content. In addition full embedded Ruby support is provided given even more dynamic prompt conditional content. It is a generalized power house that rivals specialized gen-AI tools. aia currently supports "mods" and "sgpt" CLI tools. aia uses "ripgrep" and "fzf" CLI utilities to search for and select prompt files to send to the backend gen-AI tool along with supported context files.
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0.0
`ai_client` is a versatile Ruby gem that offers a seamless interface
for integrating a wide range of AI service providers through a single,
unified API. With `ai_client`, you can simply specify the model name
and quickly leverage advanced features such as chatting, transcription,
and speech synthesis. The gem supports prominent providers, including
OpenAI, Anthropic, Google, Mistral, LocalAI, Ollama, and OpenRouter,
making it easier than ever to build innovative applications. Plus, its
flexible middleware architecture allows for easy customization of request
and response handling, ensuring that you can harness the power of AI
without vendor lock-in.
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0.0
Manage the parameterized prompts (text) used in generative AI (aka chatGPT,
OpenAI, et.al.) using storage adapters such as FileSystemAdapter,
SqliteAdapter, and ActiveRecordAdapter.
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0.0
Simplistic playpen (e.g. not for serious use) for doing technical analysis of stock prices.
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