mailrs-intelligence 1.0.2

LLM-powered email analysis primitives: structured extraction, importance scoring, spam classification, and embeddings — with a pluggable LlmProvider trait and an OpenAI-compatible reference implementation.
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[package]
name = "mailrs-intelligence"
version = "1.0.2"
edition = "2024"
description = "LLM-powered email analysis primitives: structured extraction, importance scoring, spam classification, and embeddings — with a pluggable LlmProvider trait and an OpenAI-compatible reference implementation."
license = "Apache-2.0 OR MIT"
repository = "https://github.com/goliajp/mailrs"
homepage = "https://github.com/goliajp/mailrs"
documentation = "https://docs.rs/mailrs-intelligence"
authors = ["GOLIA K.K."]
keywords = ["email", "llm", "ai", "spam", "embedding"]
categories = ["email", "text-processing", "asynchronous"]
readme = "README.md"

[lints]
workspace = true

[features]
default = ["http", "redis-cache"]
# Enable the OpenAI-compatible HTTP provider (wraps reqwest). Most users
# want this — disable only if you're plugging in your own LlmProvider impl.
http = ["dep:reqwest"]
# Enable the Redis-backed SpamCache reference implementation. Disable if
# you're plugging in your own SpamCache or running without a cache.
redis-cache = ["dep:redis"]

[dependencies]
async-trait = "0.1"
serde = { workspace = true }
serde_json = { workspace = true }
thiserror = "2"
tokio = { version = "1", features = ["time"] }
tracing = "0.1"

# http feature
reqwest = { version = "0.13", default-features = false, features = ["json", "rustls"], optional = true }

# redis-cache feature
redis = { workspace = true, optional = true }

[dev-dependencies]
tokio = { version = "1", features = ["macros", "rt"] }
criterion = { version = "0.7", default-features = false, features = ["cargo_bench_support"] }

[[bench]]
name = "extract"
harness = false