v0.0.10

Changed

• Nodes now have two message types to better delineate defining the role or
  persona of the bot from the task it needs to accomplish. The message types are:

  • role_messages, which defines the personality or role of the bot
  • task_messages, which defines the task to be completed for a given node

• role_messages can be defined for the initial node and then inherited by
  subsequent nodes. You can treat this as an LLM "system" message.

• Simplified FlowManager initialization by removing the need for manual context
  setup in both static and dynamic flows. Now, you need to create a FlowManager
  and initialize it to start the flow.

• All examples have been updated to align with the API changes.

Fixed

• Fixed an issue where importing the Flows module would require OpenAI,
  Anthropic, and Google LLM modules.

v0.0.9

Changed

• Fixed function handler registration in FlowManager to handle __function__: tokens
  • Previously, the handler string was used directly, causing "not callable" errors
  • Now correctly looks up and uses the actual function object from the main module
  • Supports both direct function references and function names exported from the Flows editor

v0.0.8

Changed

• Improved type safety in FlowManager by requiring keyword arguments for initialization
• Enhanced error messages for LLM service type validation

v0.0.7

Added

• New transition_to field for static flows
  • Combines function handlers with state transitions
  • Supports all LLM providers (OpenAI, Anthropic, Gemini)
  • Static examples updated to use this new transition

Changed

• Static flow transitions now use transition_to instead of matching function names
  • Before: Function name had to match target node name
  • After: Function explicitly declares target via transition_to

Fixed

• Duplicate LLM responses during transitions

v0.0.6

Added

• New FlowManager supporting both static and dynamic conversation flows
  • Static flows: Configuration-driven with predefined paths
  • Dynamic flows: Runtime-determined conversation paths
  • Documentation: Guide and Reference
• Provider-specific examples demonstrating dynamic flows:
  • OpenAI: insurance_openai.py
  • Anthropic: insurance_anthropic.py
  • Gemini: insurance_gemini.py
• Type safety improvements:
  • FlowArgs: Type-safe function arguments
  • FlowResult: Type-safe function returns

Changed

• Simplified function handling:
  • Automatic LLM function registration
  • Optional handlers for edge nodes
• Updated all examples to use unified FlowManager interface

v0.0.5

Added

• Added LLM support for:

  • Anthropic
  • Google Gemini

• Added LLMFormatParser, a format parser to handle LLM provider-specific
  messages and function call formats

• Added new examples:

  • movie_explorer_anthropic.py (Claude 3.5)
  • movie_explorer_gemini.py (Gemini 1.5 Flash)
  • travel_planner_gemini.py (Gemini 1.5 Flash)

v0.0.4

Added

• New example movie_explorer.py demonstrating:
  • Real API integration with TMDB
  • Node functions for API calls
  • Edge functions for state transitions
  • Proper function registration pattern

Changed

• Renamed function types to use graph terminology:

  • "Terminal functions" are now "node functions" (operations within a state)
  • "Transitional functions" are now "edge functions" (transitions between states)

• Updated function registration process:

  • Node functions must be registered directly with the LLM before flow initialization
  • Edge functions are automatically registered by FlowManager during initialization
  • LLM instance is now required in FlowManager constructor

• Added flexibility to node naming with the Editor:

  • Start nodes can now use any descriptive name (e.g., "greeting")
  • End nodes conventionally use "end" but support custom names
  • Flow configuration's initial_node property determines the starting state

Updated

• All examples updated to use new function registration pattern
• Documentation updated to reflect new terminology and patterns
• Editor updated to support flexible node naming