dtoro
bae084cd76
Brings the system from "engrams cluster + form synapses" to a complete end-to-end demo: ingest text, watch it cluster, ask questions, restart with state intact. - Stage 4: birth introspection (taxonomy/goals/open_questions via LLM, bounded by the global parallel-op semaphore), per-engram memory log, click-to-inspect side panel. - Stage 5: queries as conversations. POST /api/galaxy/:id/query embeds the question, materializes a pinned Query-Engram at the donut center, runs broadcast retrieval (global cosine scan + 1-hop synaptic expansion with attenuation) and fans out responder LLM calls. The integrator runs every 2s on accumulated snippets and streams the refining answer back over SSE; responders briefly transition to Conversing on the WS bus so the right dots light up. - Stage 6: snapshot persistence. sled-backed store keyed by galaxy id, JSON-encoded values (bincode chokes on internally-tagged enums like Manifest/MemoryKind), 60s periodic snapshot task, hydrate-on-boot, DELETE /api/galaxy/:id wired through. State survives kill -9. - Stage 7: HUD additions (sim ticks/sec, LLM queue depth, FPS) via a new GET /api/stats polled at 1Hz. `sophia demo` subcommand boots the server then auto-ingests a 50-paragraph corpus baked into the binary with include_str!. README quickstart added. Token caps for query_responder/integrator bumped (gemma-4-e4b is a thinking model — output budget must cover hidden reasoning + visible answer, otherwise content comes back empty). Pinned engrams skip physics; their tick scheduling is also skipped at materialization so they stay perfectly still at the donut center. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
76 lines
2.1 KiB
TOML
76 lines
2.1 KiB
TOML
[workspace]
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resolver = "2"
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members = [
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"crates/sophia-core",
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"crates/sophia-sim",
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"crates/sophia-llm",
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"crates/sophia-store",
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"crates/sophia-server",
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"crates/sophia-bin",
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]
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[workspace.package]
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version = "0.0.1"
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edition = "2021"
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license = "MIT"
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rust-version = "1.80"
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authors = ["Sophia"]
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[workspace.dependencies]
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# Internal
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sophia-core = { path = "crates/sophia-core" }
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sophia-sim = { path = "crates/sophia-sim" }
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sophia-llm = { path = "crates/sophia-llm" }
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sophia-store = { path = "crates/sophia-store" }
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sophia-server = { path = "crates/sophia-server" }
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# Errors / runtime
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anyhow = "1"
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thiserror = "1"
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tokio = { version = "1.40", features = ["full"] }
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async-trait = "0.1"
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# Serde
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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# Logging
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter", "fmt"] }
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# Math, ids
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glam = { version = "0.28", features = ["serde"] }
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uuid = { version = "1", features = ["v7", "serde"] }
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# HTTP/WS server (used by sophia-server only)
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axum = { version = "0.7", features = ["ws", "macros"] }
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tower = "0.5"
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tower-http = { version = "0.6", features = ["fs", "trace", "cors"] }
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# HTTP client (LM Studio)
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reqwest = { version = "0.12", features = ["json", "stream"] }
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# Sim
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kiddo = "4"
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rand = { version = "0.8", features = ["small_rng"] }
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# Async helpers
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futures-util = { version = "0.3", default-features = false, features = ["std", "sink"] }
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tokio-stream = { version = "0.1", features = ["sync"] }
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bytes = "1"
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# Config
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toml = "0.8"
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# Persistence (Stage 6) — embedded KV with serde_json-encoded values. We
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# pick JSON over bincode because `Manifest` and `MemoryKind` are
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# internally-tagged enums (`#[serde(tag = "kind")]`), which require a
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# self-describing format on the wire. Snapshots are 60-second cadence;
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# JSON's verbosity isn't a real cost at MVP scale.
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sled = "0.34"
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[profile.release]
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lto = "thin"
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codegen-units = 1
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opt-level = 3
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