Release notes

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[0.0.9] - TBD

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Added

• Enhanced FunctionSchema.from_pydantic() method with full Pydantic v2 support
  • Correctly extracts field types, descriptions, and default values from Pydantic models
  • Handles Optional types and complex type annotations
  • Properly identifies required vs optional fields using PydanticUndefined
• New to_openai() method on FunctionSchema for OpenAI API format support
  • Supports both completions and responses API endpoints
  • Export schemas for either nested or flat format structures
• New EventCallback class for object-based callback handling
  • Outputs structured GraphEvent objects instead of formatted strings
  • Provides GraphEventType enum for event type identification
  • Better structured data with type, identifier, token, and params fields
  • Maintains backward compatibility with existing callback interface
• Comprehensive graph compilation validation
  • Stricter validation of node connections and dependencies
  • Better error messages for graph construction issues
  • Cycle detection with clear GraphCompileError reporting

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Changed

• Graph compilation now validates execution order at compile time
• Graphs with cycles now raise GraphCompileError during compilation to ensure predictable execution order

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Deprecated

• Callback class is deprecated and will be removed in v0.1.0 - use EventCallback instead
• special_token_format and token_format parameters in EventCallback exist for backwards compatibility but are deprecated and will be removed in v0.1.0

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Fixed

• Added Python 3.10 compatibility for StrEnum with fallback implementation
• Fixed type annotation issues with default_factory in Pydantic field definitions
• Improved type extraction for complex Pydantic field types including Union and Optional

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[0.0.8] - 2025-08-16

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Added

• Graph constructor methods [add_node, add_router, add_edge, set_callback, set_state, update_state, reset_state, set_start_node, set_end_node, compile] can now be chained
• Moved Callback class to top-level import, you can now import it with from graphai import Callback
• Environment variable GRAPHAI_LOG_LEVEL for controlling log output level (DEBUG, INFO, WARNING, ERROR, CRITICAL)

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Changed

• Dropped networkx, matplotlib, and colorlog dependencies (note if using Graph.visualize one of networkx or matplotlib must be installed)
• Updated documentation notebooks to use new callback pattern
• Updated old type annotations to use Python 3.10+ syntax, e.g., List[str] -> list[str] and Optional[list] -> list | None

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0.0.7 - Removed

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0.0.6 - 2025-05-28

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Added

• Explicit callback parameter in execute() method for better control over callback instances
• NodeProtocol type definition for improved type safety and IDE support
• Enhanced documentation examples demonstrating proper parallel execution patterns
• New set_callback() method for customizing default callback class

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Changed

• BREAKING: Refactored callback handling to eliminate shared state between parallel executions
• Modified execute() method signature to accept optional callback parameter
• Removed internal self.callback attribute
• Updated all documentation notebooks to use new callback pattern
• Improved type hints throughout codebase using Type[Callback]

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Fixed

• Critical: Fixed callback stream contamination when multiple graphs executed in parallel
• Resolved race conditions in multi-threaded environments
• Fixed inconsistent streaming behavior in concurrent scenarios
• Improved memory management and reduced callback-related memory leaks
• Better cleanup of callback resources after execution

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Security

• Enhanced thread-safety for parallel graph execution
• Eliminated shared state vulnerabilities in callback handling

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Migration Guide

# Before (v0.0.5)
cb = graph.get_callback()
graph.callback = cb
result = await graph.execute(input=data)

# After (v0.0.6)
cb = graph.get_callback()
result = await graph.execute(input=data, callback=cb)

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0.0.5 - 2025-03-30

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Added

• New function schema functionality for generating standardized function schemas compatible with various LLM providers
• Built-in colored logger with support for different log levels and custom formatting
• Support for generating function schemas from Pydantic models

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Changed

• Removed dependency on semantic router library
• Improved type mapping for function parameters in schemas
• Enhanced documentation and code organization

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Fixed

• Various bug fixes and improvements

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Security

• No security-related changes in this release