roteiro 0.0.13

Roteiro: a provenance-tagged knowledge graph for your codebase — structure, intent, and context in one queryable store
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[package]
name = "roteiro"
description = "Roteiro: a provenance-tagged knowledge graph for your codebase — structure, intent, and context in one queryable store"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
license.workspace = true
repository.workspace = true
homepage.workspace = true
authors.workspace = true

[dependencies]
anyhow = { workspace = true }
clap = { workspace = true }
rto-graph = { workspace = true }
rto-render = { workspace = true }
rto-serve = { workspace = true, optional = true }
rto-spec = { workspace = true }
serde = { workspace = true }
serde_json = { workspace = true }
# Layered project/user configuration (ADR-0007). TOML only — `serde_yaml` is
# unmaintained. Permissive, `cargo deny`-clean.
toml = "0.9"
# `inference-local-models` only: consent-gated model download (rustls, no
# platform TLS). Blocking + pure-Rust.
ureq = { version = "3", optional = true }

[dev-dependencies]
# Write a codegraph-schema SQLite fixture in the `import --from codegraph` test.
rusqlite = { workspace = true }

[features]
mcp = ["rto-render/mcp"]
# Offline similarity inference (`roteiro infer`) — the `inferred` provenance
# class. Adds no dependencies (pure-Rust hashing embedding; ADR-0003).
inference = ["rto-graph/inference"]
# The shared model machinery: the `roteiro model` list/pull commands and the
# consent-gated downloader (`ureq`), over rto-graph's candle-free registry.
# Enabled by every model tier so `roteiro model pull` works without candle.
models = ["rto-graph/models", "dep:ureq"]
# Pluggable local embedding/generative models (`roteiro infer --model`, `spec
# draft`): candle backend on top of the shared `models` registry. ADR-0003.
inference-local-models = [
    "inference",
    "models",
    "rto-graph/inference-local-models",
]
# Ingest text from PDF documents during `roteiro sync` (off by default; pulls a
# large PDF/font-parsing tree). See [`rto_graph::extract`].
pdf-text = ["rto-graph/pdf-text"]
# OCR text from images during `roteiro sync` (ADR-0005 Tier A; off by default;
# pulls the pure-Rust ocrs/rten tree). Implies `models` so `roteiro model pull
# ocrs-text` can fetch the OCR models with consent.
image-ocr = ["models", "rto-graph/image-ocr"]
# Describe images with a local vision-language model during `roteiro sync`
# (ADR-0005 Tier B; off by default; pulls candle + the moondream model).
image-vision = ["inference-local-models", "rto-graph/image-vision"]
# Local model serving (`roteiro serve --models`): the opt-in, loopback,
# OpenAI-compatible `/v1` endpoint over installed models (ADR-0006). Pulls
# `rto-serve` with its llama.cpp engine (a C/C++ toolchain) and the `models`
# registry to resolve installed generative models.
serve = ["dep:rto-serve", "rto-serve/llama", "models"]

[lints]
workspace = true