[package]
name = "agent_mei_panel"
version = "0.1.0"
edition.workspace = true
publish.workspace = true
license = "GPL-3.0-or-later"

[lints]
workspace = true

[lib]
path = "src/agent_mei_panel.rs"

[dependencies]
# The GPUI-free engine, shared with the headless `joule-coded` worker. The GUI
# always uses the on-device L3 model tier, so enable its `l3` feature.
joule_core = { workspace = true, features = ["l3"] }
acp_thread.workspace = true
agent-client-protocol.workspace = true
agent_servers.workspace = true
anyhow.workspace = true
edit_prediction_types.workspace = true
futures.workspace = true
icons.workspace = true
log.workspace = true
serde.workspace = true
serde_json.workspace = true
text.workspace = true
editor.workspace = true
gpui.workspace = true
language.workspace = true
menu.workspace = true
multi_buffer.workspace = true
project.workspace = true
ui.workspace = true
util.workspace = true
workspace.workspace = true
# The session signs its spec, ops, and citations with a per-workspace identity
# so the methodology tracker holds real signed artifacts (not placeholders).
ed25519-dalek = "2"  # must match the open-standards crates (SigningKey crosses the boundary)

# Joule Code standard reference library. agent-mei is the standard's reference
# consumer; the joule meter emits a real joule-code-receipt::Receipt per session.
# Git deps against the public open-standards repo, pinned to a commit so a bare
# clone of agent-mei builds standalone (no sibling checkout required). Bump the
# rev to adopt a newer standard release. See JOULE_CODE.md.
joule-code-schema = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
joule-code-cargo = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
joule-code-receipt = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
joule-code-cascade = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
# JCP gate: each cascade tier (l0..l4) is a granted, energy-budgeted, sealed
# action. A session grant names the tiers the editor may consult and a joule
# ceiling; omit "l4" and the remote frontier agent is structurally unreachable.
joule-code-review = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
joule-code-identity = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }
# Per-op contract frame check: an op's edits must stay within the footprint
# the human declared in .joule/spec.json. Structural (frame_check), no proof.
# JCP bridge: gate the local agent loop's tool calls. Each tool (read_file,
# grep, run, edit_file, mcp…) is a content-addressed capability under a joule
# budget; a call to an ungranted tool — including one an injected tool result
# coaxed the model into — is denied before it executes, and sealed.

# JouleClaw is the Joule Code agent schema. Its energy crate is the honest,
# multi-platform source of the receipt's energy reading: RAPL/NVML = HwShunt
# (measured), Apple Silicon = IOReport ModelBased (measured). Light (no ML deps),
# reads unprivileged.
jouleclaw-energy = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c", features = ["ioreport"] }

# JouleClaw's from-scratch GGUF tensor runtime — the editor's L3 tier. An on-device
# model generates the change in-process (no daemon, no network) before any cloud
# agent is consulted, metered by jouleclaw-energy. Set JOULECLAW_L3_MODEL to a
# .gguf path to enable; absent, the cascade falls straight through to L4 (ACP).
# `accelerate` routes f32 matmul through Apple AMX (macOS aarch64; no-op cfg
# stub elsewhere); `rayon` fans matmul across cores. Both speed the in-process
# Runtime engine and the opt-in in-process Mellum decoder (JOULE_CODE_L3_ENGINE=mellum).
jouleclaw-loader-gguf = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c", features = ["accelerate", "rayon"] }

[dev-dependencies]
# The standard's own conformance harness (SPEC §8). agent-mei runs the C1–C4
# wire vectors (vendored under tests/conformance/v1) against the pinned standard
# version it builds on, so "reference consumer" is a tested claim, not a label.
joule-code-conformance = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c" }

# GPUI fixtures for the end-to-end steering test (a real workspace + window
# driving control_dispatch over a real on-disk git repo via RealFs). The first
# four are also base deps; re-declared here to switch on their test-support.
gpui = { workspace = true, features = ["test-support"] }
project = { workspace = true, features = ["test-support"] }
workspace = { workspace = true, features = ["test-support"] }
editor = { workspace = true, features = ["test-support"] }
settings = { workspace = true, features = ["test-support"] }
db = { workspace = true, features = ["test-support"] }
theme.workspace = true
theme_settings.workspace = true
fs.workspace = true

# Linux measured-energy counters: RAPL (Intel/AMD package energy via sysfs
# powercap) and NVML (NVIDIA GPU shunt) — both report HwShunt. Added here (a
# per-target table after all base [dependencies]) so it doesn't swallow the
# entries below it. nvml-wrapper loads libnvidia-ml at runtime, so this builds
# without CUDA/NVIDIA present and degrades to "unavailable" when the GPU/driver
# is absent. Verified live on an AWS c5.metal (Xeon 8275CL): RAPL HwShunt, ~98 J
# over a 2 s window.
[target.'cfg(target_os = "linux")'.dependencies]
jouleclaw-energy = { git = "https://git.transaction.science/Transaction-Science/open-standards.git", rev = "6cdc92381361890c1e6bdd79ac82e23236063a2c", features = ["rapl", "nvml"] }

# macOS Seatbelt (`sandbox-exec`) for the local agent's `run` tool: build/test
# commands run with the network denied and writes confined to the worktree.
[target.'cfg(target_os = "macos")'.dependencies]
sandbox.workspace = true