diff --git a/.cargo/config.toml b/.cargo/config.toml deleted file mode 100644 index d114e082..00000000 --- a/.cargo/config.toml +++ /dev/null @@ -1,5 +0,0 @@ -[patch.crates-io] -# Keep standalone TinyCortex builds offline-friendly and pinned to the nested -# submodule. Embedding hosts ignore this config and may patch the same registry -# requirement to their own TinyAgents checkout. -tinyagents = { path = "vendor/tinyagents" } diff --git a/.gitmodules b/.gitmodules deleted file mode 100644 index 7905de84..00000000 --- a/.gitmodules +++ /dev/null @@ -1,3 +0,0 @@ -[submodule "vendor/tinyagents"] - path = vendor/tinyagents - url = https://github.com/tinyhumansai/tinyagents.git diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e6527754..c6a57b96 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -82,7 +82,7 @@ We may squash commits when merging to keep history clean. ## License -By contributing, you agree that your contributions will be licensed under the [MIT License](LICENSE). Copyright (c) 2026 Tiny Humans Intelligence Inc. +By contributing, you agree that your contributions will be licensed under the [GNU General Public License v3.0](LICENSE). Copyright (c) 2026 Tiny Humans Intelligence Inc. --- diff --git a/Cargo.lock b/Cargo.lock index f9160471..878433a7 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -1694,23 +1694,6 @@ dependencies = [ "syn 3.0.2", ] -[[package]] -name = "tinyagents" -version = "2.1.0" -dependencies = [ - "async-trait", - "bytes", - "chrono", - "futures", - "reqwest", - "serde", - "serde_json", - "sha2 0.11.0", - "thiserror 2.0.19", - "tokio", - "tracing", -] - [[package]] name = "tinycortex" version = "0.1.1" @@ -1739,8 +1722,8 @@ dependencies = [ "sha2 0.10.9", "tempfile", "thiserror 2.0.19", - "tinyagents", "tinycortex-api", + "tinyinference", "tokio", "toml", "tracing", @@ -1756,6 +1739,23 @@ dependencies = [ "tinymemory-api", ] +[[package]] +name = "tinyinference" +version = "0.2.1" +source = "git+https://github.com/tinyhumansai/tinyinference?rev=cc8aca484bb995fbab3b7358f0d72ab5056b587c#cc8aca484bb995fbab3b7358f0d72ab5056b587c" +dependencies = [ + "async-trait", + "bytes", + "futures", + "httpdate", + "reqwest", + "serde", + "serde_json", + "sha2 0.11.0", + "thiserror 2.0.19", + "tokio", +] + [[package]] name = "tinymemory-api" version = "0.1.1" diff --git a/Cargo.toml b/Cargo.toml index 9d5ad0ee..9becc030 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -1,8 +1,7 @@ # The engine crate is also the workspace root so `api/` is never an orphan # package: `cargo fmt --all`, `cargo check`, and `cargo test` from this # directory cover the stable-contract crate too. `vendor/` is excluded so the -# nested TinyAgents submodule (reached through the `[patch.crates-io]` path -# below) is not pulled in as an implicit member. +# vendored dependencies are not pulled in as implicit members. [workspace] members = [".", "api"] # `default-members` would otherwise fall back to the root package alone (this is @@ -24,7 +23,7 @@ name = "tinycortex" publish = false version = "0.1.1" edition = "2021" -license = "MIT" +license = "GPL-3.0-only" repository = "https://github.com/tinyhumansai/tinycortex" description = "Rust core for the TinyCortex memory system" readme = "README.md" @@ -118,11 +117,11 @@ serde_json = "1" schemars = "1" sha2 = "0.10" thiserror = "2" -# Kept in lockstep with OpenHuman's vendored TinyAgents checkout. Standalone -# development resolves this requirement to `vendor/tinyagents` through -# `.cargo/config.toml`; embedding hosts may supply their own crates.io patch so -# the host and TinyCortex share one `EmbeddingModel` trait identity. -tinyagents = "2.1" +# Provider-neutral inference contracts. Pinned until TinyInference is +# published; embedding hosts may patch this exact git source so the host and +# TinyCortex share one `EmbeddingModel` trait identity without pulling in an +# agent runtime. +tinyinference = { git = "https://github.com/tinyhumansai/tinyinference", rev = "cc8aca484bb995fbab3b7358f0d72ab5056b587c" } # The stable contract crate (value types, error enum, `Memory` trait). Declared # as a path dependency, not a registry requirement, so embedding hosts resolve # it through this checkout without needing their own `[patch.crates-io]` entry. @@ -196,12 +195,6 @@ tempfile = "3" tokio = { version = "1", features = ["macros", "rt-multi-thread", "sync", "time"] } wiremock = "0.6" -# Standalone TinyCortex development still uses the pinned nested submodule. -# Cargo ignores dependency-local patches when TinyCortex is consumed by a host, -# allowing that host's crates.io patch to select its canonical TinyAgents copy. -[patch.crates-io] -tinyagents = { path = "vendor/tinyagents" } - [[test]] name = "composio_sync_mock" required-features = ["sync"] @@ -221,7 +214,7 @@ required-features = ["persona", "providers-http", "git-diff"] name = "persona_harness" required-features = ["persona", "providers-http", "git-diff"] -# Persona decision agent: algorithmic BM25 retrieval + a tinyagents LLM pass +# Persona decision assistant: algorithmic BM25 retrieval + a TinyInference LLM pass # over the distilled persona memory layer (doc 06 follow-on). # `OPENROUTER_API_KEY=... cargo run --example persona_agent --features persona -- ""` [[example]] diff --git a/LICENSE b/LICENSE index d8dbbed7..f288702d 100644 --- a/LICENSE +++ b/LICENSE @@ -1,21 +1,674 @@ -MIT License - -Copyright (c) 2026 Tiny Humans Intelligence Inc - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/README.md b/README.md index 62729fd0..d2a2bdf6 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ [![Crates.io](https://img.shields.io/crates/v/tinycortex.svg)](https://crates.io/crates/tinycortex) [![docs.rs](https://img.shields.io/docsrs/tinycortex)](https://docs.rs/tinycortex) -[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](./LICENSE) +[![License: GPL v3](https://img.shields.io/badge/license-GPL%20v3-blue.svg)](./LICENSE) [Discord](https://discord.tinyhumans.ai) • [Reddit](https://www.reddit.com/r/tinyhumansai/) • [X](https://x.com/tinyhumansai) • [Docs](https://tinyhumans.gitbook.io/tinycortex/) diff --git a/api/Cargo.toml b/api/Cargo.toml index f18fab65..2f1ab9b3 100644 --- a/api/Cargo.toml +++ b/api/Cargo.toml @@ -4,7 +4,7 @@ name = "tinycortex-api" publish = false version = "0.1.1" edition = "2021" -license = "MIT" +license = "GPL-3.0-only" repository = "https://github.com/tinyhumansai/tinycortex" description = "Stable public contracts for the TinyCortex memory system" diff --git a/benchmarks/effectiveness/Cargo.toml b/benchmarks/effectiveness/Cargo.toml index cf57db23..b22832a3 100644 --- a/benchmarks/effectiveness/Cargo.toml +++ b/benchmarks/effectiveness/Cargo.toml @@ -2,6 +2,7 @@ name = "tinycortex-bench-effectiveness" version = "0.1.0" edition = "2021" +license = "GPL-3.0-only" publish = false description = "Retrieval-effectiveness benchmark harness for TinyCortex memory backends" diff --git a/docs/plan/06-persona-agent-demo.md b/docs/plan/06-persona-agent-demo.md index e69fcd1a..5527e64d 100644 --- a/docs/plan/06-persona-agent-demo.md +++ b/docs/plan/06-persona-agent-demo.md @@ -1,4 +1,4 @@ -# Doc 06 follow-on — persona memory engine live run + decision agent +# Doc 06 follow-on — persona memory engine live run + decision assistant A working demonstration of the two things the persona surface was built to do: @@ -11,8 +11,9 @@ Two new pieces land alongside the existing `persona` surface: - `memory::persona::retrieve` — a purely lexical, **no-LLM** BM25 retriever over the persona observation leaves (`retrieve.rs` + `retrieve_tests.rs`). -- `examples/persona_agent.rs` — a `tinyagents` agent harness with read-only tools - over that retriever; DeepSeek v4 Flash (OpenRouter) does the final synthesis. +- `examples/persona_agent.rs` — a direct TinyInference synthesis pass over the + ranked evidence and explicit directives; DeepSeek v4 Flash (OpenRouter) does + the final synthesis without an agent runtime. --- @@ -77,16 +78,20 @@ retrieval stays lexical and the LLM only enters at the final pass. 10 unit + integration tests (parsing, tokenizer, BM25 ranking, facet filter, tier weighting, real-workspace load roundtrip). -## 3. The decision agent (LLM final pass) +## 3. The decision assistant (LLM final pass) -`AgentHarness` with three read-only tools over the retriever — -`search_persona` (BM25, optional facet filter), `list_directives` (verbatim T0 -rules), `persona_overview` (facet coverage). The system prompt forces the model -to ground every claim in retrieved evidence, prefer higher tiers, and flag when -it is extrapolating. Retrieval selects candidates; the LLM only filters, -resolves tier/recency conflicts, and writes the decision in the person's voice. +The example builds one provider-neutral TinyInference request containing the +BM25-ranked evidence, verbatim T0 directives, and facet coverage. The system +prompt forces the model to ground every claim in that bounded context, prefer +higher tiers, and flag when it is extrapolating. Retrieval selects candidates; +the LLM only filters, resolves tier/recency conflicts, and writes the decision +in the person's voice. No agent loop or tool registry is needed. -### Live results (DeepSeek v4 Flash via OpenRouter) +### Historical live results (pre-TinyInference agent harness) + +These measurements describe the original multi-step TinyAgents harness. The +current TinyInference example makes exactly one model call after deterministic +retrieval, so its latency and call count are not represented by this table. | question | model/tool calls | wall-clock | surfaced (verifiable) | |---|---|---|---| @@ -105,7 +110,7 @@ OPENROUTER_API_KEY=… PERSONA_MAX_SESSIONS=80 PERSONA_MAX_COST_USD=0.60 \ TINYCORTEX_WORKSPACE=/path/ws PERSONA_AUTHOR_EMAILS=you@example.com \ cargo run --example persona_harness --features persona,providers-http,git-diff -- backfill -# 2. ask the decision agent (stage 1 algorithmic retrieval → stage 2 LLM pass) +# 2. ask the decision assistant (stage 1 algorithmic retrieval → stage 2 LLM pass) OPENROUTER_API_KEY=… TINYCORTEX_WORKSPACE=/path/ws \ cargo run --example persona_agent --features persona -- "" ``` diff --git a/docs/spec/README.md b/docs/spec/README.md index ea27dc0a..db6b839c 100644 --- a/docs/spec/README.md +++ b/docs/spec/README.md @@ -136,10 +136,11 @@ conclusions: missing from the CI matrix, feature builds are only `cargo check`ed, the smoke test doesn't touch the real engine, and there are no setup/test scripts at all (VF-1..VF-5). -4. **Meaningful dead weight.** A git dependency (`tinyagents`) that blocks - crates.io publishing, two placeholder feature modules, a flagship async - `Memory` trait with zero production impls, atomic-write implemented eight - times, and four dependencies with one call site each (SW-1..SW-6). +4. **Meaningful dead weight.** The original audit found a TinyAgents git + dependency, two placeholder feature modules, a flagship async `Memory` + trait with zero production impls, atomic-write implemented eight times, and + four dependencies with one call site each (SW-1..SW-6). SW-1 is resolved by + the provider-neutral TinyInference dependency. Finding IDs: `MB-*` modularity, `CF-*` configurability, `VF-*` verification, `SW-*` simplification. diff --git a/docs/spec/audit/09-verification-infrastructure.md b/docs/spec/audit/09-verification-infrastructure.md index 84934de1..4f87363b 100644 --- a/docs/spec/audit/09-verification-infrastructure.md +++ b/docs/spec/audit/09-verification-infrastructure.md @@ -69,7 +69,7 @@ provider-specific parsing has no focused tests), `tree/hydrate.rs`, `archivist/sink.rs`, `diff/{checkpoint,snapshot,diff}.rs`, `chunks/{schema,store_delete,raw_refs,migrations,produce_split,store_sources,embeddings}.rs`, `retrieval/rerank.rs`, `conversations/{store_index,store_ops}.rs`, -`score/extract/llm_prompt.rs`, `store/vectors/embedding.rs` (the tinyagents +`score/extract/llm_prompt.rs`, `store/vectors/embedding.rs` (the inference bridge), `providers/`, `rpc/`. If a module is meant to be a trustworthy block, "has its own tests runnable in isolation" is the entry bar; these currently fail it. diff --git a/docs/spec/audit/10-simplification-dead-weight.md b/docs/spec/audit/10-simplification-dead-weight.md index 1aaa906f..3d9786ce 100644 --- a/docs/spec/audit/10-simplification-dead-weight.md +++ b/docs/spec/audit/10-simplification-dead-weight.md @@ -11,6 +11,10 @@ to trust than it needs to be. IDs are `SW-*`. ### SW-1 (High). The `tinyagents` git dependency blocks publishing and pins trust to one file +**Resolved:** TinyCortex now depends on the provider-neutral `tinyinference` +crate and no longer carries the TinyAgents runtime or submodule. The original +finding below is retained as audit history. + `Cargo.toml` depends on `tinyagents = { git = "https://github.com/senamakel/tinyagents", rev = "8f75355" }` — a personal-repo git dependency at an unaudited commit. Its **only** consumer is diff --git a/examples/persona_agent.rs b/examples/persona_agent.rs index e820abef..7ffbc2cf 100644 --- a/examples/persona_agent.rs +++ b/examples/persona_agent.rs @@ -1,235 +1,71 @@ -//! Persona decision agent (doc 06 follow-on): answer hard coding decisions -//! *as this person would*, grounded in their distilled persona memory layer. +//! Persona decision assistant: answer hard coding decisions as this person +//! would, grounded in their distilled persona memory layer. //! -//! Two explicit stages, matching the design brief: +//! The workflow has two explicit stages: //! -//! 1. **Algorithmic retrieval (no LLM).** [`PersonaRetriever`] loads every -//! persona observation leaf the pipeline persisted and ranks them against a -//! query with a deterministic, network-free BM25 scorer weighted by evidence -//! tier. This stage never calls a model. -//! 2. **LLM final pass (intelligence / filter).** A [`tinyagents`] agent harness, -//! backed by the OpenRouter reference model (DeepSeek v4 Flash by default), -//! is given three read-only tools over that retriever. It decides what to look -//! up, filters the candidates, resolves conflicts by tier/recency, and writes -//! a decision in the person's own voice — citing the evidence it used. +//! 1. [`PersonaRetriever`] ranks persisted observations with deterministic, +//! network-free BM25 retrieval weighted by evidence tier. +//! 2. A provider-neutral [`tinyinference`] model receives only those ranked +//! observations and the person's explicit directives, then writes one +//! evidence-cited decision. //! -//! The retriever is the agent's *only* window onto the person: the model is -//! instructed to grow its answer strictly from retrieved evidence, never from -//! generic best practice. +//! TinyCortex owns retrieval and memory. TinyInference owns the model API and +//! provider transport. No agent loop, tool registry, or session runtime is +//! needed for this bounded synthesis pass. //! //! ## Usage //! //! ```sh -//! # after a `persona_harness backfill` has populated the workspace: //! cargo run --example persona_agent --features persona -- "Should I add a new -//! crate dependency or vendor a small helper myself?" +//! crate dependency or vendor a small helper myself?" //! ``` //! //! - `TINYCORTEX_WORKSPACE` — persona workspace (default `./persona-workspace`). -//! - `OPENROUTER_API_KEY` — required (loaded from `.env` via dotenvy). -//! - `TINYCORTEX_LLM_MODEL` — chat model id (default `deepseek/deepseek-v4-flash`). +//! - `OPENROUTER_API_KEY` — required (loaded from `.env` via dotenvy). +//! - `TINYCORTEX_LLM_MODEL` — model id (default `deepseek/deepseek-v4-flash`). +//! - `PERSONA_IDENTITY` — identity label in the prompt (default `this developer`). -use std::sync::Arc; - -use async_trait::async_trait; -use serde_json::json; - -use tinyagents::harness::message::Message; -use tinyagents::harness::providers::openai::OpenAiModel; -use tinyagents::harness::runtime::AgentHarness; -use tinyagents::harness::tool::{Tool, ToolCall, ToolPolicy, ToolResult, ToolSchema}; +use tinyinference::message::Message; +use tinyinference::model::{ChatModel, ModelRequest}; +use tinyinference::providers::openai::OpenAiModel; use tinycortex::memory::config::MemoryConfig; use tinycortex::memory::persona::compile::read_directives; use tinycortex::memory::persona::retrieve::{PersonaHit, PersonaRetriever}; use tinycortex::memory::persona::types::PersonaFacet; -/// Default number of observations the retriever surfaces per query. -const DEFAULT_K: usize = 8; - -/// Shared agent state: the loaded memory layer and the person's verbatim rules. -struct PersonaState { - retriever: PersonaRetriever, - directives: Vec, - identity: String, -} - -// ─────────────────────────── Tools (over the memory layer) ─────────────────── - -/// Stage-1 retrieval exposed as a tool: deterministic BM25, no model call. -struct SearchPersonaTool; - -#[async_trait] -impl Tool for SearchPersonaTool { - fn name(&self) -> &str { - "search_persona" - } - fn description(&self) -> &str { - "Search the person's distilled coding persona for observations relevant \ - to a query. Purely algorithmic BM25 ranking weighted by evidence tier — \ - no LLM. Optionally restrict to one facet." - } - fn schema(&self) -> ToolSchema { - ToolSchema::new( - "search_persona", - "Retrieve the most relevant persona observations for a query.", - json!({ - "type": "object", - "properties": { - "query": { - "type": "string", - "description": "Natural-language description of what you need to know about how this person works." - }, - "facet": { - "type": "string", - "description": "Optional facet filter.", - "enum": [ - "communication", "coding_style", "stack", "workflow", - "environment", "directives", "anti_preferences" - ] - }, - "k": { - "type": "integer", - "description": "Max observations to return (default 8).", - "minimum": 1, - "maximum": 20 - } - }, - "required": ["query"] - }), - ) - } - fn policy(&self) -> ToolPolicy { - ToolPolicy::read_only() - } - async fn call(&self, state: &PersonaState, call: ToolCall) -> tinyagents::Result { - let query = call - .arguments - .get("query") - .and_then(|v| v.as_str()) - .unwrap_or_default(); - let facet = call - .arguments - .get("facet") - .and_then(|v| v.as_str()) - .and_then(PersonaFacet::parse_loose); - let k = call - .arguments - .get("k") - .and_then(|v| v.as_u64()) - .map(|n| n as usize) - .unwrap_or(DEFAULT_K) - .clamp(1, 20); - - let hits = state.retriever.search(query, facet, k); - Ok(ToolResult::text( - call.id, - "search_persona", - format_hits(&hits), - )) - } -} - -/// Return the person's explicit, verbatim standing rules (mostly T0 directives). -struct ListDirectivesTool; - -#[async_trait] -impl Tool for ListDirectivesTool { - fn name(&self) -> &str { - "list_directives" - } - fn description(&self) -> &str { - "List the person's explicit, written-down standing rules for their coding \ - agents (highest-authority evidence). Consult these before any decision." - } - fn schema(&self) -> ToolSchema { - ToolSchema::new( - "list_directives", - "List the person's verbatim standing rules.", - json!({ "type": "object", "properties": {} }), - ) - } - fn policy(&self) -> ToolPolicy { - ToolPolicy::read_only() - } - async fn call(&self, state: &PersonaState, call: ToolCall) -> tinyagents::Result { - let body = if state.directives.is_empty() { - "No explicit directives recorded.".to_string() - } else { - state - .directives - .iter() - .map(|d| format!("- {d}")) - .collect::>() - .join("\n") - }; - Ok(ToolResult::text(call.id, "list_directives", body)) - } -} - -/// Summarise the coverage of the loaded memory layer (facet counts). -struct PersonaOverviewTool; - -#[async_trait] -impl Tool for PersonaOverviewTool { - fn name(&self) -> &str { - "persona_overview" - } - fn description(&self) -> &str { - "Report which facets of the person's persona have evidence and how much, \ - so you know where the memory layer is strong or thin." - } - fn schema(&self) -> ToolSchema { - ToolSchema::new( - "persona_overview", - "Report per-facet observation coverage.", - json!({ "type": "object", "properties": {} }), - ) - } - fn policy(&self) -> ToolPolicy { - ToolPolicy::read_only() - } - async fn call(&self, state: &PersonaState, call: ToolCall) -> tinyagents::Result { - Ok(ToolResult::text( - call.id, - "persona_overview", - overview(state), - )) - } -} - -// ─────────────────────────────── Formatting ───────────────────────────────── +/// Default number of observations included in the synthesis prompt. +const DEFAULT_K: usize = 12; fn format_hits(hits: &[PersonaHit]) -> String { if hits.is_empty() { return "No matching persona evidence found for that query.".to_string(); } hits.iter() - .map(|h| { - let quote = h + .map(|hit| { + let quote = hit .quote .as_deref() - .map(|q| format!(" — quote: \"{q}\"")) + .map(|quote| format!(" — quote: \"{quote}\"")) .unwrap_or_default(); format!( "[{facet} | {tier} | score {score:.2}] {text}{quote}", - facet = h.facet.as_str(), - tier = h.tier.as_str(), - score = h.score, - text = h.text, + facet = hit.facet.as_str(), + tier = hit.tier.as_str(), + score = hit.score, + text = hit.text, ) }) .collect::>() .join("\n") } -fn overview(state: &PersonaState) -> String { - let counts = state.retriever.facet_counts(); +fn overview(retriever: &PersonaRetriever, directives: &[String], identity: &str) -> String { + let counts = retriever.facet_counts(); let mut lines = vec![format!( - "Identity: {}\nTotal observations: {}\nDirectives: {}", - state.identity, - state.retriever.len(), - state.directives.len(), + "Identity: {identity}\nTotal observations: {}\nDirectives: {}", + retriever.len(), + directives.len(), )]; for facet in PersonaFacet::ALL { lines.push(format!( @@ -242,31 +78,12 @@ fn overview(state: &PersonaState) -> String { } const SYSTEM_PROMPT: &str = "\ -You are the coding alter-ego of a specific developer. You answer hard \ -engineering decisions, design questions, and \"what should I do here?\" blocks \ -*as they would* — reflecting their real, evidenced habits, stack, workflow, and \ -pet peeves — not generic best practice. - -Your ONLY window onto this person is the memory tools. Ground every claim in \ -retrieved evidence: -- Start by calling `persona_overview` (once) and `list_directives` to anchor on \ - their explicit rules. -- Then call `search_persona` one or more times with focused queries (use the \ - `facet` filter to target coding_style, stack, workflow, etc.). Retrieval is \ - algorithmic and free — search liberally and from multiple angles before you \ - answer. -- Evidence carries a confidence tier: t0 = a rule they wrote down, t1 = an \ - in-transcript correction, t2 = habitual phrasing/commits, t3 = inferred \ - outcome. Prefer higher tiers; when evidence conflicts, the higher tier and \ - more recent observation wins. t3 alone only corroborates — never decide on it. - -Then answer. Requirements for the answer: -1. Give a decisive recommendation in their voice, not a menu of options. -2. Justify it by citing the specific observations/directives you relied on \ - (paraphrase + tier), so the reasoning is auditable. -3. If the memory layer has little or no relevant evidence, say so plainly and \ - flag that you are extrapolating — do not fabricate a preference. -Keep it tight and concrete."; +You are the coding alter-ego of a specific developer. Give one decisive, \ +concrete recommendation in their voice, grounded only in the supplied persona \ +evidence and explicit directives rather than generic best practice. Cite the \ +specific observations and evidence tiers you rely on. Prefer t0 over t1, t1 \ +over t2, and use t3 only as corroboration. If evidence is thin or conflicting, \ +say so plainly instead of inventing a preference."; #[tokio::main(flavor = "multi_thread")] async fn main() -> anyhow::Result<()> { @@ -276,7 +93,7 @@ async fn main() -> anyhow::Result<()> { let joined = std::env::args().skip(1).collect::>().join(" "); if joined.trim().is_empty() { "I need to add retry/backoff to an HTTP client in one of my Rust \ - services. Should I pull in a dependency for it, hand-roll it, or \ + services. Should I pull in a dependency, hand-roll it, or do \ something else? Decide the way I would." .to_string() } else { @@ -284,7 +101,6 @@ async fn main() -> anyhow::Result<()> { } }; - // ── Load the memory layer ──────────────────────────────────────────────── let workspace = std::env::var("TINYCORTEX_WORKSPACE").unwrap_or_else(|_| "./persona-workspace".to_string()); let config = MemoryConfig::new(&workspace); @@ -296,62 +112,63 @@ async fn main() -> anyhow::Result<()> { if retriever.is_empty() { anyhow::bail!( "persona memory layer at {workspace} is empty — run the persona \ - backfill first (examples/persona_harness backfill)." + backfill first (examples/persona_harness backfill)" ); } - let state = PersonaState { - retriever, - directives, - identity, - }; - - println!("persona decision agent"); + println!("persona decision assistant"); println!(" workspace: {workspace}"); - println!(" {}", overview(&state).replace('\n', "\n ")); + println!( + " {}", + overview(&retriever, &directives, &identity).replace('\n', "\n ") + ); println!("\n════════════════════════ QUESTION ════════════════════════"); println!("{question}"); - // ── Stage 1: algorithmic retrieval (no LLM) ────────────────────────────── + let hits = retriever.search(&question, None, DEFAULT_K); + let evidence = format_hits(&hits); println!("\n──────── Stage 1 · algorithmic retrieval (no LLM) ─────────"); - let seed_hits = state.retriever.search(&question, None, DEFAULT_K); - println!("{}", format_hits(&seed_hits)); + println!("{evidence}"); + + let directive_text = if directives.is_empty() { + "No explicit directives recorded.".to_string() + } else { + directives + .iter() + .map(|directive| format!("- {directive}")) + .collect::>() + .join("\n") + }; + let prompt = format!( + "Identity and coverage:\n{}\n\nExplicit directives:\n{}\n\nQuestion:\n{}\n\nRanked persona evidence:\n{}", + overview(&retriever, &directives, &identity), + directive_text, + question, + evidence, + ); - // ── Stage 2: LLM final pass over the memory tools ──────────────────────── let api_key = std::env::var("OPENROUTER_API_KEY") .map_err(|_| anyhow::anyhow!("OPENROUTER_API_KEY not set (needed for the LLM pass)"))?; let model_id = std::env::var("TINYCORTEX_LLM_MODEL") .unwrap_or_else(|_| "deepseek/deepseek-v4-flash".to_string()); let model = OpenAiModel::openrouter(api_key).with_model(&model_id); - - let mut harness: AgentHarness = AgentHarness::new(); - harness - .register_model("openrouter", Arc::new(model)) - .set_default_model("openrouter") - .register_tool(Arc::new(SearchPersonaTool)) - .register_tool(Arc::new(ListDirectivesTool)) - .register_tool(Arc::new(PersonaOverviewTool)); + let request = ModelRequest::new(vec![Message::system(SYSTEM_PROMPT), Message::user(prompt)]) + .with_temperature(0.2); println!("\n──────── Stage 2 · LLM synthesis pass ({model_id}) ────────"); let started = std::time::Instant::now(); - let run = harness - .invoke_default( - &state, - vec![Message::system(SYSTEM_PROMPT), Message::user(&question)], - ) - .await?; + let response = model.invoke(&(), request).await?; println!("\n════════════════════════ DECISION ════════════════════════"); - println!("{}", run.text().unwrap_or_default()); + println!("{}", response.text()); println!("\n───────────────────────── telemetry ──────────────────────"); - println!( - " model calls: {} tool calls: {} steps: {}", - run.model_calls, run.tool_calls, run.steps - ); - println!( - " tokens: {} in + {} out = {} total", - run.usage.usage.input_tokens, run.usage.usage.output_tokens, run.usage.usage.total_tokens - ); + if let Some(usage) = response.usage { + println!( + " tokens: {} in + {} out = {} total", + usage.input_tokens, usage.output_tokens, usage.total_tokens + ); + } + println!(" model calls: 1"); println!(" wall-clock: {:.1}s", started.elapsed().as_secs_f64()); Ok(()) diff --git a/gitbooks/contributing.md b/gitbooks/contributing.md index b2865b66..a38a8c96 100644 --- a/gitbooks/contributing.md +++ b/gitbooks/contributing.md @@ -143,7 +143,7 @@ Pull requests should: - List the tests you ran (`cargo test`, plus any benchmark runs). - Link related issues where applicable. -Keep each PR to one logical change. Maintainers may squash commits on merge to keep history clean. Contributions are licensed under the MIT License. +Keep each PR to one logical change. Maintainers may squash commits on merge to keep history clean. Contributions are licensed under the GNU General Public License v3.0. ### Working in parallel diff --git a/gitbooks/faq.md b/gitbooks/faq.md index 95225a02..5b6bb8ff 100644 --- a/gitbooks/faq.md +++ b/gitbooks/faq.md @@ -229,8 +229,8 @@ regex backend, so the LLM path is optional. See ## What is the license? -**MIT** (`LICENSE`, `Cargo.toml`), Copyright Tiny Humans Intelligence Inc. You -can embed and ship it under permissive terms. +**GNU GPL v3.0 only** (`GPL-3.0-only` in `Cargo.toml`), Copyright Tiny Humans +Intelligence Inc. Derivative distributions must comply with GPLv3. ## How do I build and test it? diff --git a/src/memory/chunks/signature.rs b/src/memory/chunks/signature.rs index a83d2397..0ad2a5b2 100644 --- a/src/memory/chunks/signature.rs +++ b/src/memory/chunks/signature.rs @@ -22,10 +22,10 @@ /// /// Delegates to the same formatter the namespace store's embedding providers /// use ([`crate::memory::store::vectors::format_embedding_signature`], itself a -/// re-export from `tinyagents`), so the two stores cannot drift into +/// re-export from `tinyinference`), so the two stores cannot drift into /// byte-different spellings of the same space again. pub fn format_signature(provider: &str, model: &str, dims: usize) -> String { - tinyagents::harness::embeddings::format_embedding_signature(provider, model, dims) + tinyinference::embeddings::format_embedding_signature(provider, model, dims) } /// A signature decomposed into the parts that identify its vector space. diff --git a/src/memory/health.rs b/src/memory/health.rs index 3bf1fa8b..823a165a 100644 --- a/src/memory/health.rs +++ b/src/memory/health.rs @@ -221,7 +221,7 @@ pub fn classify_embed_error_str(msg: &str) -> PipelineFailure { // #5354 — the local Ollama runtime is not usable: the daemon is not // listening, or the configured embedding model was never pulled. Both are - // emitted by `tinyagents::harness::embeddings::ollama` with the fix already + // emitted by `tinyinference::embeddings::ollama` with the fix already // in the text: // // "ollama embed request failed (is Ollama running at ?): …" diff --git a/src/memory/health_tests.rs b/src/memory/health_tests.rs index 18c43924..884b14b4 100644 --- a/src/memory/health_tests.rs +++ b/src/memory/health_tests.rs @@ -266,7 +266,7 @@ fn classify_transport_error_is_transient() { } /// #5354 — the Ollama daemon is not listening. Verbatim wording from -/// `tinyagents::harness::embeddings::ollama::OllamaEmbeddingModel::request`. +/// `tinyinference::embeddings::OllamaEmbeddingModel` request path. /// Note the parenthesised hint: `parse_http_status` reads the first `(`, so /// without an explicit match this fell through to `Transient` and the panel /// told the user to wait for a retry that can never start their daemon. diff --git a/src/memory/store/safety/pii/checks.rs b/src/memory/store/safety/pii/checks.rs index 2769dd75..e72513d7 100644 --- a/src/memory/store/safety/pii/checks.rs +++ b/src/memory/store/safety/pii/checks.rs @@ -138,9 +138,8 @@ pub(super) fn plausible_card_number(d: &[u32]) -> bool { } 2 => { // Mastercard 2-series 2221-2720 (16 only). - ((2221..=2720).contains(&p4) && len == 16) - // Mir 2200-2204 (16 only). - || ((2200..=2204).contains(&p4) && len == 16) + // Mastercard 2221-2720 and Mir 2200-2204 (16 only). + ((2221..=2720).contains(&p4) || (2200..=2204).contains(&p4)) && len == 16 } 3 => { // Amex 34/37 (15 only). diff --git a/src/memory/store/vectors/embedding.rs b/src/memory/store/vectors/embedding.rs index ddc14983..052e4476 100644 --- a/src/memory/store/vectors/embedding.rs +++ b/src/memory/store/vectors/embedding.rs @@ -20,7 +20,7 @@ use async_trait::async_trait; /// instantiated backend. Drift between the two would silently split one /// embedding space into two. pub fn format_embedding_signature(name: &str, model_id: &str, dims: usize) -> String { - tinyagents::harness::embeddings::format_embedding_signature(name, model_id, dims) + tinyinference::embeddings::format_embedding_signature(name, model_id, dims) } /// Interface for embedding backends that convert text into numerical vectors. @@ -63,22 +63,22 @@ pub trait EmbeddingBackend: Send + Sync { #[async_trait] impl EmbeddingBackend for T where - T: tinyagents::harness::embeddings::EmbeddingModel + ?Sized, + T: tinyinference::embeddings::EmbeddingModel + ?Sized, { fn name(&self) -> &str { - tinyagents::harness::embeddings::EmbeddingModel::name(self) + tinyinference::embeddings::EmbeddingModel::name(self) } fn model_id(&self) -> &str { - tinyagents::harness::embeddings::EmbeddingModel::model_id(self) + tinyinference::embeddings::EmbeddingModel::model_id(self) } fn dimensions(&self) -> usize { - tinyagents::harness::embeddings::EmbeddingModel::dimensions(self) + tinyinference::embeddings::EmbeddingModel::dimensions(self) } fn signature(&self) -> String { - tinyagents::harness::embeddings::EmbeddingModel::signature(self) + tinyinference::embeddings::EmbeddingModel::signature(self) } async fn embed(&self, texts: &[&str]) -> anyhow::Result>> { @@ -86,7 +86,7 @@ where .iter() .map(|text| (*text).to_owned()) .collect::>(); - tinyagents::harness::embeddings::EmbeddingModel::embed(self, &owned) + tinyinference::embeddings::EmbeddingModel::embed(self, &owned) .await .map_err(|error| anyhow::anyhow!(error)) } diff --git a/vendor/tinyagents b/vendor/tinyagents deleted file mode 160000 index 2583fccc..00000000 --- a/vendor/tinyagents +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 2583fccc213a00f2a3d94744ff1e0d1541368f97