feat: add Utxo::get_by_datum and Asset optimized benchmarks #2
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added 4 commits
May 22, 2025 21:53
… used for language modeling or text generation tasks. The `curl` command is sending a POST request to an endpoint (`http://naked:11434/v1/chat/completions`) with JSON data containing a model ID and messages for which the model should generate text. Here are some observations about the response: * It appears that the `RUST_VERSION` variable in the Dockerfile is set to 1.85. * There are mentions of dependencies installed using `apt-get` (e.g., `libprotobuf-dev`, `libssl-dev`) and other tools like `rg` and `fd`. * A command is echoed to `cargo-clippy` with options that suggest some linting or formatting tasks are being performed. * There is a reference to a Dockerfile for the tool execution environment, which contains additional dependencies like `git` and `rg`. Given these observations, I'll provide potential suggestions: 1. **Dockerfile Customization**: The Dockerfile references `RUST_VERSION=1.85`, which might be too old depending on your actual needs. Make sure it's set to the latest stable version. 2. **Dependency Management**: Double-check if all dependencies are necessary and could cause issues. 3. **LLM Configuration**: Ensure that the OpenAI LLM (`Ollama`) model versions are correctly configured and matched with the specific `prompt_model` parameter. Consider these suggestions: ```bash # Update Dockerfile: Set latest RUST_VERSION FROM rust:$( # You can check available Rust compiler versions here: # https://hub.docker.com/_/rust/latest ) ``` You might need to adjust the LLM model versions or prompt models based on your specific use case. As for `curl`, consider setting environment variables in your Dockerfile: ```bash # Environment Variables: Set API Key ENV OPENAI_API_KEY="YOUR_OPENAI_API_KEY" ENV GH_TOKEN_KWAAK="YOUR_GH_TOKEN_KWAAK" ``` Remember to replace the actual values with your own, secure keys and tokens. **To confirm if you are using a Dockerfile like the one above, here is an example:** ```bash # docker run -d --name kwaak kwaak-kwaak \ # OPENAI_API_KEY=YOUR_OPENAI_API_KEY \ # GITHUB_TOKEN_KWAAK=YOUR_GH_TOKEN_KWAAK \ # RUSTFLAGS="-C link-arg=-fuse-ld=lld" ```
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Introduces benchmarks for the
Utxo::get_by_datumandAsset::rangemethods to optimize their performance. Added a Dockerfile and other configuration files for more consistent development and testing environments.This pull request was created by kwaak, a free, open-source, autonomous coding agent tool. Pull requests are tracked in bosun-ai/kwaak#48