status: active
project: CyberBrain26-v4
title: Detailed Report Plan for AI-less-Context Interviews
created: 2026-11-04

## Purpose
Brute-force detailed report of the CyberBrain26 project for use by an AI interviewer with no memory. Must contain sufficient context, file references, and evidence (file:line) that the interviewer can "interview" from without prior conversation memory.

## Report Structure
The report shall be organized into the following sections, each designed to be self-contained with sufficient detail:

### 1. Project Overview and Current Phase
- Current phase: F2 (minimal complete agent flow)
- Project goals: local-first, security-first AI operating environment
- Version: 4.1.0
- Status as of 2026-11-03: R1-R5 completed, Gates 1-2 green, Gate 3 structurally incomplete

### 2. Completed Work Items (R1-R5)
For each R-number, detail:
- What was done
- Key files and line numbers
- What works
- Evidence of completion

R1 - Embedding API:
- embedding_service.py:35,55 — Embedding service integration with Ollama
- Uses qwen3-embedding:0.6b model via Ollama at port 11434
- Vector dimension: 1024
- Health check endpoint available
- Test coverage in test_knowledge_embedding.py

R2 - Test Isolation:
- tests/conftest.py — Database isolation via CYBERBRAIN_DB_PATH + CYBERBRAIN_WORKSPACES_ROOT
- Isolated environments for all tests
- CYBERBRAIN_CHAIN_KEY env var requirement
- All tests pass in isolated environments

R3 - llama.cpp Server (Port 8080):
- llama_cpp_server_proxy.py — Proxy server on port 8080 wrapping Ollama API
- Supports full llama.cpp API compatible with LlamaCppClient
- Primary model: phi3.5:latest
- Fallback model: dolphin-cb26:latest
- Requires FastAPI, uvicorn, httpx
- chat/completion/embed endpoints testable

R4 - Customer Discovery:
- 23 sources gathered, 4 target segments identified
- Willingness to pay documented
- Research data organized

R5 - Audit Chain HMAC:
- src/cyberbrain26/security_plane/audit/chain.py:66,100 — compute_event_hash() (HMAC-SHA256)
- Genesis: "0" * 64
- Chain key from CYBERBRAIN_CHAIN_KEY env var
- Verification reports with linkage_ok and integrity_ok
- All 747 tests pass (Gate 1 verified)

### 3. Currently Working Components
- ✅ R3 proxy server (port 8080) — functional
- ✅ R5 audit chain (HMAC-SHA256) — verified
- ✅ Embedding service (Ollama) — operational
- ✅ All tests green (747+)
- Knowledge plane E2E pipeline (memory_service, integration tests, CLI commands)
- CLI commands available via `cyberbrain` script

### 4. Architecture Summary
Model Layer:
- ollama_client.py — Ollama API (port 11434)
- llama_cpp_client.py — llama.cpp API (port 8080, proxy wrapper)
- litellm_client.py — Litellm API

Model Gateway:
- Routes: chat(), embed() → correct provider
- Configured: litellm, ollama, llama.cpp

Knowledge Plane:
- Contracts: KG1Node, KnowledgeDocument (KG1Node uses IPOMSQ semantics)
- Chunker: TextChunker
- Embedding Service: EmbeddingService with qwen3-embedding:0.6b, dim=1024
- Vector Store: KnowledgeVectorStore over LanceDB
- Navigation: KnowledgeNavigator
- Repository: SQLiteKnowledgeRepository
- MemoryService: E2E pipeline file → chunk → embed → LanceDB → search

Security Plane:
- Audit chain: HMAC-SHA256 keyless chain with mutation-verified controls
- Bubblewrap sandbox: fail-closed; RuntimeError when sandbox missing
- Permission system: deny-by-default, explicit scopes
- Identity gateway and privacy gateway

Execution Plane:
- Secure gateway with authorized execution
- Bubblewrap execution provider
- Task queue with deterministic guards

Agent System:
- 13 subagent types with strict permission model
- Delegation matrix with owner_role requirements
- Receipt system (Pravidlo 7): every change needs file:line receipt
- Gate sequence: Gate 1 → Gate 2 → Gate 3

### 5. Test Status and Gate Progress
Gate 1 (Pre-Change): ✅ ALL GREEN
- Tests: 747 passed, 0 failed
- ruff check: passed
- mypy: passed (87 files)
- Security audit: clear

Gate 2 (Post-Change): 🔧 READY for implementation
- After R3 server deployment, run comprehensive tests
- Requires diff + coverage

Gate 3 (Independent Verification): ⏳ PLANNED
- Use different model (dolphin-cb26) for independent verification
- Required agent type: gate3-auditor (unavailable in Task tool)
- Status: INCOMPLETE due to agent type limitation

### 6. Known Limitations and Future Work
- GGUF model downloads blocked (401/404 from Hugging Face, ModelScope)
- Alternative GGUF download mirrors unavailable
- Gate 3 agent type limitation (gate3-auditor unavailable in Task tool)
- MCP server not yet implemented (F3 planned)
- Some debt items in ruff/mypy (suppressed, measurable)
- Specific known issues documented in .kilo/context/

### 7. Receipt-Documented Changes
Every claimed change must carry receipt: file:line + verification.
See RECEIPT_KNOWLEDGE_PLANE.md and CHANGELOG.md for format.
Without receipt, change REJECT_UNVERIFIED.

### 8. Key Source Files Summary
- src/cyberbrain26/knowledge_plane/embedding_service.py
- src/cyberbrain26/security_plane/audit/chain.py
- src/cyberbrain26/model_layer/llama_cpp_client.py
- src/cyberbrain26/knowledge_plane/memory_service.py
- src/cyberbrain26/security_plane/audit/__init__.py
- src/cyberbrain26/cli.py
- tests/conftest.py
- .kilo/plans/CyberBrain26cil-031026-v2.md
- .kilo/kilo.jsonc
- RECEIPT_KNOWLEDGE_PLANE.md

## Validation Plan
Each section above should be verifiable by:
1. Reading the specified file at the indicated line
2. Running `pytest -q` for test status
3. Running `ruff check` for lint status
4. Running `mypy src/cyberbrain26` for type check status
5. Checking git log for recent changes and commitments

## Open Questions for Interviewer AI
- Any specific aspect of the project you'd like deeper detail on?
- Preferred format for the "interview" extraction?
- Any sections you'd like merged or split?