Feat: Add Content Engineering#4
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Implements backend/context/engineer.py with AGENT_BUDGET tables for rag_agent and orchestrator_node, tiktoken-based counting, and fit_short_term/fit_long_term/fit_chunks truncation that drops oldest turns and lowest-relevance items first. Adds backend/context/optimiser.py backed by llmlingua as a compression fallback when truncation alone would discard too much. Wires context engineer into rag_agent, orchestrator_node, rag_chain, llm.py (max_tokens=RESERVED_OUTPUT_TOKENS), and short_term.py (TOKEN_BUDGET derived from min AGENT_BUDGET cap). Long-term memory is now injected into plain rag-intent answers via assemble(). Per-source token counts and budget_exceeded flag are written back to SynapticState.
Adds ruff>=0.8.0 to backend/requirements.txt and backend/pyproject.toml (line-length 100, py312, rules E/F/I/UP/B, first-party import groups). Adds make lint / make lint-fix targets to the root Makefile. Applies all 34 ruff findings: import sorting (I001), unused imports (asyncio in memory_node, os in main), Optional[X] -> X | None (UP045), timezone.utc -> UTC (UP017), Sequence from collections.abc (UP035), and zip() strict=True where iterables are guaranteed equal length (B905). E402 late imports in agents/graph.py suppressed with noqa since they are required to break the SynapticState circular import.
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