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chore: Release v3.8.1 - Dependency fix for langchain-core
Fix dependency constraints to eliminate pip warnings: - Update langchain-core to allow 1.x versions (was restricted to <1.0.0) - Enables security fixes in langchain-core 1.2.5+ - Update README What's New to v3.8.0 features 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <[email protected]>
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [3.8.1] - 2026-01-07
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### Fixed
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- **Dependency constraints**: Updated `langchain-core` to allow 1.x versions (was restricted to <1.0.0)
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- Eliminates pip dependency warnings during installation
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- Allows langchain-core 1.2.5+ which includes important security fixes
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- Maintains backward compatibility with 0.x versions
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- Updated both core dependencies and optional dependency groups (agents, developer, enterprise, healthcare, full, all)
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### Changed
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- **README**: Updated "What's New" section to highlight v3.8.0 features (transparent cost claims, intelligent caching)
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- **Documentation**: Clarified that tier routing savings vary by role (34-86% range)
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## [3.8.0] - 2026-01-07
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### Added

README.md

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pip install empathy-framework[developer] # Lightweight for individual developers
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```
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## What's New in v3.7.0
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## What's New in v3.8.0
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### 🎯 **Transparent Cost Claims: Honest Role-Based Savings (34-86%)**
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**Real savings depend on your work role.** Architects using 60% PREMIUM tasks see 34% savings, while junior devs see 86%. See [role-based analysis](docs/cost-analysis/COST_SAVINGS_BY_ROLE_AND_PROVIDER.md) for your specific case.
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### 🚀 **Intelligent Response Caching: Up to 57% Hit Rate (Benchmarked)**
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**Hash-only cache**: 100% hit rate on identical prompts, ~5μs lookups
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**Hybrid cache**: Up to 57% hit rate on semantically similar prompts (measured on security audit workflow)
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```python
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from empathy_os.cache import create_cache
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# Hash-only mode (fast, exact matches)
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cache = create_cache(cache_type="hash")
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# Hybrid mode (semantic similarity)
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cache = create_cache(cache_type="hybrid", similarity_threshold=0.95)
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```
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See [caching docs](docs/caching/) for benchmarks and configuration.
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---
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### Previous Release: v3.7.0
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### 🚀 **XML-Enhanced Prompting: 15-35% Token Reduction + Graceful Validation**
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#### 🚀 **XML-Enhanced Prompting: 15-35% Token Reduction + Graceful Validation**
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**Slash your API costs and eliminate response parsing errors with production-ready XML enhancements.**
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pyproject.toml

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[project]
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name = "empathy-framework"
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version = "3.8.0"
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version = "3.8.1"
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description = "AI collaboration framework with intelligent caching (up to 57% cache hit rate), tier routing (34-86% cost savings depending on task complexity), XML-enhanced prompts, persistent memory, CrewAI integration, and multi-agent orchestration. Includes HIPAA-compliant healthcare wizards."
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readme = {file = "README.md", content-type = "text/markdown"}
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requires-python = ">=3.10"
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"pyyaml>=6.0,<7.0", # Required by workflows (bug_predict, etc.)
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"anthropic>=0.25.0,<1.0.0", # Core LLM provider
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"crewai>=0.1.0,<1.0.0", # CrewAI integration (core feature in v3.7.0)
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"langchain>=0.1.0,<1.0.0", # Required for workflows
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"langchain-core>=0.1.0,<1.0.0", # Required for workflows
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"langchain>=0.1.0,<2.0.0", # Required for workflows
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"langchain-core>=0.1.0,<2.0.0", # Required for workflows (1.2.5+ has security fixes)
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]
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[project.optional-dependencies]

src/empathy_os/__init__.py

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Licensed under Fair Source 0.9
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"""
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__version__ = "1.0.0-beta"
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__version__ = "3.8.1"
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__author__ = "Patrick Roebuck"
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__email__ = "[email protected]"
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from .agent_monitoring import AgentMetrics, AgentMonitor, TeamMetrics
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from .config import EmpathyConfig, load_config
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from .coordination import (
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AgentCoordinator,
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AgentTask,
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ConflictResolver,
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ResolutionResult,
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ResolutionStrategy,
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TeamPriorities,
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TeamSession,
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AgentCoordinator,
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AgentTask,
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ConflictResolver,
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ResolutionResult,
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ResolutionStrategy,
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TeamPriorities,
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TeamSession,
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)
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from .core import EmpathyOS
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from .emergence import EmergenceDetector
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from .exceptions import (
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CollaborationStateError,
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ConfidenceThresholdError,
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EmpathyFrameworkError,
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EmpathyLevelError,
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FeedbackLoopError,
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LeveragePointError,
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PatternNotFoundError,
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TrustThresholdError,
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ValidationError,
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CollaborationStateError,
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ConfidenceThresholdError,
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EmpathyFrameworkError,
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EmpathyLevelError,
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FeedbackLoopError,
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LeveragePointError,
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PatternNotFoundError,
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TrustThresholdError,
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ValidationError,
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)
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from .feedback_loops import FeedbackLoopDetector
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from .levels import Level1Reactive, Level2Guided, Level3Proactive, Level4Anticipatory, Level5Systems
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# Memory module (unified short-term + long-term + security)
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from .memory import (
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AccessTier,
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AgentCredentials, # Memory module imports
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AuditEvent,
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AuditLogger,
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Classification,
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ClassificationRules,
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ClaudeMemoryConfig,
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ClaudeMemoryLoader,
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ConflictContext,
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EncryptionManager,
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Environment,
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MemDocsStorage,
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MemoryConfig,
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MemoryPermissionError,
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PatternMetadata,
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PIIDetection,
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PIIPattern,
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PIIScrubber,
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RedisShortTermMemory,
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SecretDetection,
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SecretsDetector,
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SecretType,
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SecureMemDocsIntegration,
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SecurePattern,
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SecurityError,
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SecurityViolation,
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Severity,
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StagedPattern,
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TTLStrategy,
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UnifiedMemory,
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check_redis_connection,
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detect_secrets,
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get_railway_redis,
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get_redis_config,
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get_redis_memory,
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AccessTier,
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AgentCredentials, # Memory module imports
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AuditEvent,
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AuditLogger,
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Classification,
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ClassificationRules,
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ClaudeMemoryConfig,
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ClaudeMemoryLoader,
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ConflictContext,
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EncryptionManager,
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Environment,
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MemDocsStorage,
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MemoryConfig,
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MemoryPermissionError,
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PatternMetadata,
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PIIDetection,
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PIIPattern,
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PIIScrubber,
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RedisShortTermMemory,
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SecretDetection,
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SecretsDetector,
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SecretType,
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SecureMemDocsIntegration,
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SecurePattern,
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SecurityError,
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SecurityViolation,
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Severity,
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StagedPattern,
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TTLStrategy,
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UnifiedMemory,
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check_redis_connection,
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detect_secrets,
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get_railway_redis,
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get_redis_config,
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get_redis_memory,
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)
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from .pattern_library import Pattern, PatternLibrary, PatternMatch
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from .persistence import MetricsCollector, PatternPersistence, StateManager

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