ContextFlow natively introduces the Engine Stabilization Layer, rectifying core caching invariants and standardizing external distribution hooks globally.
Added:
PluginRegistry.discover()enabling automated parsing ofentry_pointsregistered inside third-party application modules conforming to thecontextflow.plugins.*format securely.
Fixed:
- Semantic Caching Stability:
NativeCacheupgraded to dynamically encapsulate compressor properties during hash generation, structurally guaranteeing independent key indexing for deterministic text inputs traversing separate cognitive pipelines.
ContextFlow natively introduces the Intelligence Layer to filter and compress context intelligently utilizing Semantic and Distillation logic.
Added:
SemanticModecapable of structurally dropping uncorrelated chat history via goal-similarity.DistillationCompressorreplacing rigid deterministic heuristics with natively awaited asynchronous LLM chunk summarization.acompress()hook dynamically inserted into the baseCompressorinterface explicitly enabling intelligent LLM pipeline compression securely.
Refactored:
ContextPipeline.arun()andNativeCache.aget_or_set()natively await and cascade async implementations cleanly.Providerinterface corrected to strictly parse flat message arrays natively, standardizing Prompt injection.
ContextFlow natively introduces Plugin Registries enabling infinite extensibility without modifying core architecture.
Added:
PluginRegistryfoundational pattern insidecore/registry.py.ModeRegistry,CompressorRegistry,ProviderRegistry,SourceRegistry, andScorerRegistrynatively exporting decorators for dynamic logic insertion.- Exhaustive test suite (
test_registry.py) covering type-safe constraints and instantiation mechanisms natively.
Refactored:
- All built-in classes (
MinimalMode,OpenAIProvider,NativeCacheetc) register implicitly on import seamlessly.
ContextFlow natively transitions from a stateless pipeline array into a stateful Context Engine.
Added:
ContextSessionarchitectural wrapper capturing multi-turn integrations.NativeCachegenerating cryptographic hashes to safely bypass redundant execution.ContextRankerenabling mathematical arrays (viaTimeDecayScorer).- Native debug tracing telemetry (
pipeline = ContextPipeline(debug=True)). - Synthetic array benchmarks (
benchmarks/benchmark.py). - Standalone execution loops (
examples/agent_session.py).
Refactored:
- Migrated flat Python module architecture into extensible nested sub-packages (
mode/,compression/,provider/). - Safely isolated shared schemas and interfaces inside a protected
core/package.
Improved:
- Async Provider execution pathways ensuring asynchronous graph compatibility.
TokenBudgetenforcing structural retention limits using Priority-slicing metrics over standard deletion.- Deterministic Compression safety guarding LangGraph JSON nodes from scraper mutations exactly.