doubleo7/Cargo.toml

[package]
name = "doubleo7"
version = "0.1.0"
edition = "2024"

[dependencies]
anyhow = "1.0.104"
reqwest = { version = "0.13.4", features = ["query"] }
rig = { version = "0.41.0", features = ["test-utils"] }
schemars = "1"
scraper = "0.25"
serde = "1.0.229"
tokio = { version = "1.53.1", features = ["full"] }
toml = "1.1.4+spec-1.1.0"
tracing = "0.1"
tracing-subscriber = { version = "0.3.23", features = ["env-filter"] }
chrono = "0.4.45"
cargo new scaffold 2026-07-31 08:20:46 +00:00			`[package]`
			`name = "doubleo7"`
			`version = "0.1.0"`
			`edition = "2024"`

			`[dependencies]`
feat: Introduce two agent flow with profanity verification. 2026-08-05 12:21:38 +00:00			`anyhow = "1.0.104"`
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			`reqwest = { version = "0.13.4", features = ["query"] }`
			`rig = { version = "0.41.0", features = ["test-utils"] }`
feat: add a reviewer agent that gates and redirects the research loop Adds a reviewer step (gemma4-e4b, fresh context) between gathering and writing: it uses rig's typed Extractor to judge whether the findings' conclusions actually follow from their cited sources, rather than relying on free-text parsing. research() is now a plain bounded loop — "the least agentic design that solves the problem", per rig's own workflow guidance — that reruns the researcher with the reviewer's solid_findings/gaps feedback folded into the next round's task until it approves or MAX_RESEARCH_ROUNDS runs out. 2026-08-14 10:58:39 +00:00			`schemars = "1"`
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			`scraper = "0.25"`
feat: Introduce two agent flow with profanity verification. 2026-08-05 12:21:38 +00:00			`serde = "1.0.229"`
cargo new scaffold 2026-07-31 08:20:46 +00:00			`tokio = { version = "1.53.1", features = ["full"] }`
feat: Introduce two agent flow with profanity verification. 2026-08-05 12:21:38 +00:00			`toml = "1.1.4+spec-1.1.0"`
feat: structured tracing observability Enable Rig's built-in tracing spans (model, token usage, cache hits, latency) via tracing-subscriber, filterable through RUST_LOG and defaulting to info level. Logs write to stderr so stdout stays reserved for program output. Standardizes the remaining ad-hoc println! diagnostics (server startup, per-iteration revision progress, non-convergence) into structured tracing events at appropriate levels. 2026-08-05 13:23:30 +00:00			`tracing = "0.1"`
			`tracing-subscriber = { version = "0.3.23", features = ["env-filter"] }`
feat: add current-date context and footnote-style citations to research loop Interpolates today's date into the researcher's preamble so it can judge source freshness instead of relying on training-cutoff knowledge, and asks it to cite facts with bracketed footnote numbers backed by a Sources list, which the writer agent is now instructed to preserve through to the final report. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> 2026-08-14 17:06:15 +00:00			`chrono = "0.4.45"`