doubleo7/swear_cleanup/src/prompts.rs

use std::sync::LazyLock;
use crate::models::Prompts;

pub(crate) static PROMPTS: LazyLock<Prompts> = LazyLock::new(|| {
    toml::from_str(include_str!("prompts.toml")).expect("Could not parse prompts.toml")
});
feat: deep research agentic loop with rig AgentRunner + Gemma models Pins rig to the newest published crates.io release (0.41.0) instead of the git main branch, and adapts swear_cleanup's revise.rs to that release's API (OneOrMany::first() returns T directly, raw_completion folded into CompletionResponse::raw_response). The research agent (gemma4:26b) drives rig's AgentRunner tool-calling loop with two lean #[rig::tool_macro] tools — a DuckDuckGo HTML search and a page-text fetcher — to gather and cross-check findings. A second agent (gemma4-e4b) turns those findings into a structured report; the smaller/faster model suffices there since it's reformatting already- digested notes rather than doing multi-step research reasoning. 2026-08-14 10:40:09 +00:00			`use std::sync::LazyLock;`
refactor: split into a Cargo workspace with per-project dependency sets deep_research and swear_cleanup were sharing one Cargo.toml, so every build compiled clap/indicatif/scraper/chrono (only needed by deep_research) even when just building swear_cleanup for its own course work, and vice versa. Moves each into its own workspace member crate (deep_research/, swear_cleanup/) with an independent Cargo.toml declaring only the deps it actually uses; common deps/versions are pinned once via [workspace.dependencies] so the two don't drift. Verified `cargo build -p swear_cleanup` alone no longer pulls in clap/indicatif/scraper/chrono (schemars still compiles for it, but that's a direct transitive dependency of rig itself, not something this split can avoid). Also verified the relocated deep_research binary still runs end-to-end against live Ollama with correct footnote citations and sources. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> 2026-08-14 17:43:13 +00:00			`use crate::models::Prompts;`
feat: deep research agentic loop with rig AgentRunner + Gemma models Pins rig to the newest published crates.io release (0.41.0) instead of the git main branch, and adapts swear_cleanup's revise.rs to that release's API (OneOrMany::first() returns T directly, raw_completion folded into CompletionResponse::raw_response). The research agent (gemma4:26b) drives rig's AgentRunner tool-calling loop with two lean #[rig::tool_macro] tools — a DuckDuckGo HTML search and a page-text fetcher — to gather and cross-check findings. A second agent (gemma4-e4b) turns those findings into a structured report; the smaller/faster model suffices there since it's reformatting already- digested notes rather than doing multi-step research reasoning. 2026-08-14 10:40:09 +00:00
			`pub(crate) static PROMPTS: LazyLock<Prompts> = LazyLock::new(\|\| {`
			`toml::from_str(include_str!("prompts.toml")).expect("Could not parse prompts.toml")`
			`});`