cerebro 1.1.4

A high-performance semantic memory engine for AI Agents, now featuring SwarmForge for built-in multi-agent orchestration.
Documentation
# Cerebro Test Reports

This document tracks the historical test runs and compilation sanity checks for the Cerebro Engine.

## Date: 2026-04-19

### SwarmForge Module Testing
Executed via `cargo test --lib`

**Result:** PASSED ✅

**Summary:**
- 59/59 Unit Tests Passed
- 0 Failed
- 25 new swarm-specific tests covering:
  - Agent config serialization and LlmProvider display formatting (Ollama, OpenAI, Gemini, Anthropic, OpenAICompatible)
  - AgentRuntime lifecycle and circuit breaker behavior
  - CerebroMemoryBus: working memory isolation, semantic commit/recall, episodic push/get/clear, global state
  - ExecutionTracer: step recording, finalization, memory operation tracing, serialization roundtrip
  - Hierarchical pattern delegation parsing
  - SwarmPattern serialization
  - SwarmOrchestrator agent registration

## Date: 2026-04-12

### Local Core Testing 
Executed via `cargo test`

**Result:** PASSED ✅

**Summary:** 
- 34/34 Unit Tests Passed
- 1/1 Doc Tests Passed
- 0 Failed
- Confirmed the structural integrity of the `Chunker`, `MemoryEngine` RAG data flow, native `Document` parsing, and mathematically verified algebraic accuracy for Cosine Similarity evaluations inside the vector maps.

### Extended Feature FFI Testing
Executed via `cargo check --all-features`

**Result:** PASS WITH EXPECTED LINKER EXCEPTIONS ⚠️

**Summary:**
- Extended heavy dependencies `["qdrant", "wasm", "graph", "local_models", "pdf"]` parsed properly upon locking.
- The `python` feature using `PyO3` triggered an expected compiler linker error (`ld: symbol(s) not found for architecture arm64`). This is fully expected on macOS offline test compilations. When the `extension-module` flag is declared for PyO3, the C/Rust compiler explicitly expects the `.so`/`.dylib` objects to be hooked dynamically into a living Python interpreter runtime. Running offline bare-metal test traces breaks it. To compile the python suite later, the user will need to run `maturin develop` inside a Python `venv` instead.

### Pre-Publish Stabilization & Dry-Run
Executed via `cargo check --all-features` and `cargo publish --dry-run`

**Result:** PASSED ✅

**Summary:**
- **Dependency Stabilization**: Successfully migrated `candle` to static crates.io versions (`0.10.2`). All git dependencies removed.
- **Feature Completion**: Finalized `qdrant-client` 1.17 and `candle` local inference logic.
- **Compilation**: Clean compilation with zero errors across all feature flags (`--all-features`).
- **Dry-Run**: `cargo publish --dry-run` succeeded, confirming the crate is ready for crates.io deployment.