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* refactor: move packages into crates folder * feat: parameters should be send * refactor: move submodule * refactor: fix submodule * refactor: flatten crates structure * refactor: set correct version of llama * fmt: lint fixes * add cargo-toml * better crate docs * chore: add release plz
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name: Release-plz | ||
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permissions: | ||
pull-requests: write | ||
contents: write | ||
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on: | ||
push: | ||
branches: | ||
- main | ||
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jobs: | ||
release-plz: | ||
name: Release-plz | ||
runs-on: ubuntu-latest | ||
steps: | ||
- name: Checkout repository | ||
uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 | ||
- name: Install Rust toolchain | ||
uses: dtolnay/rust-toolchain@stable | ||
- name: Run release-plz | ||
uses: MarcoIeni/[email protected] | ||
env: | ||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
CARGO_REGISTRY_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }} |
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[submodule "llm-chain-llama/sys/llama.cpp"] | ||
path = llm-chain-llama/sys/llama.cpp | ||
[submodule "crates/llm-chain-llama/sys/llama.cpp"] | ||
path = crates/llm-chain-llama-sys/llama.cpp | ||
url = https://github.com/ggerganov/llama.cpp.git |
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[workspace] | ||
members = [ | ||
"llm-chain", | ||
"llm-chain-openai", | ||
"llm-chain-llama", | ||
"llm-chain-llama/sys", | ||
"llm-chain-local", | ||
"llm-chain-qdrant", | ||
] | ||
members = ["crates/*"] | ||
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[workspace.metadata.release] | ||
shared-version = true |
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@@ -7,7 +7,6 @@ license = "MIT" | |
keywords = ["llm", "langchain", "chatgpt", "chain"] | ||
categories = ["science"] | ||
authors = ["William Rudenmalm <[email protected]>"] | ||
readme = "../docs/README.md" | ||
repository = "https://github.com/sobelio/llm-chain/" | ||
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[features] | ||
|
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# llm-chain 🚀 | ||
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`llm-chain` is a collection of Rust crates designed to help you create advanced LLM applications such as chatbots, agents, and more. As a comprehensive LLM-Ops platform we have strong support for both cloud and locally-hosted LLMs. We also provide robust support for prompt templates and chaining together prompts in multi-step chains, enabling complex tasks that LLMs can't handle in a single step. We also provide vector store integrations making it easy to give your model long-term memory and subject matter knowledge. This empowers you to build sophisticated applications. | ||
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This crate is the main crate for `llm-chain`. You will need driver crate such as `llm-chain-openai`, or `llm-chain-local` | ||
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[![Discord](https://dcbadge.vercel.app/api/server/kewN9Gtjt2?style=for-the-badge)](https://discord.gg/kewN9Gtjt2) | ||
[![Crates.io](https://img.shields.io/crates/v/llm-chain?style=for-the-badge)](https://crates.io/crates/llm-chain) | ||
![License](https://img.shields.io/github/license/sobelio/llm-chain?style=for-the-badge) | ||
[![Docs: Tutorial](https://img.shields.io/badge/docs-tutorial-success?style=for-the-badge&logo=appveyor)](https://sobelio.github.io/llm-chain/docs/getting-started-tutorial/index) | ||
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## Examples 💡 | ||
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To help you get started, here is an example demonstrating how to use `llm-chain`. You can find more examples in the [examples folder](/llm-chain-openai/examples) in the repository. | ||
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```rust | ||
let exec = executor!()?; | ||
let res = prompt!( | ||
"You are a robot assistant for making personalized greetings", | ||
"Make a personalized greeting for Joe" | ||
) | ||
.run(parameters()!, &exec) | ||
.await?; | ||
println!("{}", res); | ||
``` | ||
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[➡️ **tutorial: get started with llm-chain**](https://sobelio.github.io/llm-chain/docs/getting-started-tutorial/index) | ||
[➡️ **quick-start**: Create project based on our template](https://github.com/sobelio/llm-chain-template/generate) | ||
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## Features 🌟 | ||
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- **Prompt templates**: Create reusable and easily customizable prompt templates for consistent and structured interactions with LLMs. | ||
- **Chains**: Build powerful chains of prompts that allow you to execute more complex tasks, step by step, leveraging the full potential of LLMs. | ||
- **ChatGPT support**: Supports ChatGPT models, with plans to add OpenAI's other models in the future. | ||
- **LLaMa support**: Provides seamless integration with LLaMa models, enabling natural language understanding and generation tasks with Facebook's research models. | ||
- **Alpaca support**: Incorporates support for Stanford's Alpaca models, expanding the range of available language models for advanced AI applications. | ||
- **Tools**: Enhance your AI agents' capabilities by giving them access to various tools, such as running Bash commands, executing Python scripts, or performing web searches, enabling more complex and powerful interactions. | ||
- **Extensibility**: Designed with extensibility in mind, making it easy to integrate additional LLMs as the ecosystem grows. | ||
- **Community-driven**: We welcome and encourage contributions from the community to help improve and expand the capabilities of `llm-chain`. | ||
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## Getting Started 🚀 | ||
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To start using `llm-chain`, add it as a dependency in your `Cargo.toml`: | ||
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```bash | ||
cargo add llm-chain llm-chain-openai | ||
``` | ||
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The examples for `llm-chain-openai` require you to set the `OPENAI_API_KEY` environment variable which you can do like this: | ||
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```bash | ||
export OPENAI_API_KEY="sk-YOUR_OPEN_AI_KEY_HERE" | ||
``` | ||
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Then, refer to the [documentation](https://docs.rs/llm-chain) and [examples](/llm-chain-openai/examples) to learn how to create prompt templates, chains, and more. | ||
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## Contributing 🤝 | ||
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**We warmly welcome contributions from everyone!** If you're interested in helping improve `llm-chain`, please check out our [`CONTRIBUTING.md`](/docs/CONTRIBUTING.md) file for guidelines and best practices. | ||
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## License 📄 | ||
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`llm-chain` is licensed under the [MIT License](/LICENSE). | ||
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## Connect with Us 🌐 | ||
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If you have any questions, suggestions, or feedback, feel free to open an issue or join our [community discord](https://discord.gg/kewN9Gtjt2). We're always excited to hear from our users and learn about your experiences with `llm-chain`. | ||
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We hope you enjoy using `llm-chain` to unlock the full potential of Large Language Models in your projects. Happy coding! 🎉 |
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all-features = false | ||
no-default-features = false | ||
feature-depth = 1 | ||
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[advisories] | ||
db-path = "~/.cargo/advisory-db" | ||
db-urls = ["https://github.com/rustsec/advisory-db"] | ||
vulnerability = "deny" | ||
unmaintained = "warn" | ||
yanked = "warn" | ||
notice = "warn" | ||
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[licenses] | ||
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unlicensed = "deny" | ||
allow = [ | ||
"MIT", | ||
"Apache-2.0", | ||
"ISC", | ||
"Unicode-DFS-2016", | ||
"BSD-3-Clause", | ||
"OpenSSL", | ||
] | ||
copyleft = "deny" | ||
allow-osi-fsf-free = "neither" | ||
default = "deny" | ||
confidence-threshold = 0.8 | ||
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[[licenses.clarify]] | ||
name = "ring" | ||
version = "*" | ||
expression = "MIT AND ISC AND OpenSSL" | ||
license-files = [{ path = "LICENSE", hash = 0xbd0eed23 }] |
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