mirror of
https://github.com/0xMassi/webclaw.git
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02302e7a1d
Extraction ~22% faster on the corpus benchmark with byte-identical output: - hoist recompiled CSS selectors in the markdown noise path - single-pass shared og() meta parsing across vertical extractors - output-safe QuickJS gating (skip the JS VM when no candidate data) + reuse the already-parsed document instead of re-parsing - wreq connect_timeout + connection-pool tuning; dedup the retry loop Reliability + correctness: - char-boundary-safe truncation of LLM error bodies (shared helper) - HTTP connect/read timeouts on all LLM provider clients - isolate pdf-extract behind catch_unwind + spawn_blocking - OSS server: crawl inherits the shared fetch profile; ProviderChain built once in AppState; request TimeoutLayer API / safety / docs: - #[non_exhaustive] on public enums + result structs (+ builders) - #![forbid(unsafe_code)] on pure crates, deny on llm - //! crate docs + doctests; scrub bypass/vendor/target specifics from public crate docs and comments Tooling: [profile.release] lto/codegen-units/strip, MSRV pin, deny.toml + cargo-deny CI, macOS test matrix. CLI main.rs split into focused modules.
19 lines
558 B
TOML
19 lines
558 B
TOML
[package]
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name = "webclaw-llm"
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description = "LLM integration for webclaw — local-first hybrid architecture (Ollama -> OpenAI -> Anthropic)"
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version.workspace = true
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edition.workspace = true
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rust-version.workspace = true
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license.workspace = true
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[lints]
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workspace = true
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[dependencies]
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reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
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async-trait = "0.1"
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serde = { workspace = true }
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serde_json = { workspace = true }
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tokio = { workspace = true }
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thiserror = { workspace = true }
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tracing = { workspace = true }
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