v0.9.31

Changelog

v0.9.31

v0.9.30

Changelog

v0.9.30

refactor(conversations): Update conversation store message type handling

• Add support for GeneratedAssistantMessage in conversation store implementations
• Update type hints to include generic type parameter for GeneratedAssistantMessage
• Modify add_message_async method signatures across conversation store classes
• Ensure consistent message type handling across different conversation store implementations
• Improve type flexibility for message storage and retrieval

v0.9.29

refactor(whatsapp): Update Data and Key model field definitions

• Modify status field in Data model to be optional (str | None)
• Update remoteJidAlt in Key model to be optional (str | None)
• Add default None to id field in Key model
• Improve model flexibility by allowing None for certain fields

v0.9.28

making field optional in whatsappwebhookpayload

v0.9.27

feat(whatsapp): Add structured response base model for WhatsApp bot

• Create WhatsAppResponseBase model to standardize bot response structure
• Enhance WhatsAppBot to support generic structured output schemas
• Update _send_response method to handle structured response parsing
• Add type hints and documentation for new response handling mechanism
• Improve logging for structured response processing
• Enable more flexible and type-safe bot response generation
  This change introduces a base model for WhatsApp bot responses that ensures a consistent response structure while allowing for extensible, type-safe output schemas.

v0.9.26

feat(api): Enhance API endpoint and function name generation

• Improve aiohttp session handling in make_single_request() to prevent connection errors
• Add robust function name generation for OpenAPI spec endpoints
• Create new test script to validate function name generation for OpenAPI specs
• Update example script to demonstrate edge case handling for API endpoint names
• Ensure proper session and connector closure in async API requests
• Add comprehensive test cases for problematic path name conversions
  Addresses potential issues with API endpoint generation and async request management, improving overall robustness of API integration capabilities.

refactor(extractor): Enhance HTML processing and base64 image removal

• Consolidate BeautifulSoup operations for more robust HTML processing
• Implement comprehensive base64 image removal strategy with detailed debugging
• Add multiple removal techniques for base64 images in img tags, anchors, and styles
• Improve error handling and type checking during HTML manipulation
• Update example code to use different LLM model and async extraction method
• Add debug print statements to track base64 image removal process
• Refactor main content extraction and tag filtering logic

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.29

Changelog

v0.9.29

refactor(whatsapp): Update Data and Key model field definitions

• Modify status field in Data model to be optional (str | None)
• Update remoteJidAlt in Key model to be optional (str | None)
• Add default None to id field in Key model
• Improve model flexibility by allowing None for certain fields

v0.9.28

making field optional in whatsappwebhookpayload

v0.9.27

feat(whatsapp): Add structured response base model for WhatsApp bot

• Create WhatsAppResponseBase model to standardize bot response structure
• Enhance WhatsAppBot to support generic structured output schemas
• Update _send_response method to handle structured response parsing
• Add type hints and documentation for new response handling mechanism
• Improve logging for structured response processing
• Enable more flexible and type-safe bot response generation
  This change introduces a base model for WhatsApp bot responses that ensures a consistent response structure while allowing for extensible, type-safe output schemas.

v0.9.26

feat(api): Enhance API endpoint and function name generation

• Improve aiohttp session handling in make_single_request() to prevent connection errors
• Add robust function name generation for OpenAPI spec endpoints
• Create new test script to validate function name generation for OpenAPI specs
• Update example script to demonstrate edge case handling for API endpoint names
• Ensure proper session and connector closure in async API requests
• Add comprehensive test cases for problematic path name conversions
  Addresses potential issues with API endpoint generation and async request management, improving overall robustness of API integration capabilities.

refactor(extractor): Enhance HTML processing and base64 image removal

• Consolidate BeautifulSoup operations for more robust HTML processing
• Implement comprehensive base64 image removal strategy with detailed debugging
• Add multiple removal techniques for base64 images in img tags, anchors, and styles
• Improve error handling and type checking during HTML manipulation
• Update example code to use different LLM model and async extraction method
• Add debug print statements to track base64 image removal process
• Refactor main content extraction and tag filtering logic

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.28

Changelog

v0.9.28

making field optional in whatsappwebhookpayload

v0.9.27

feat(whatsapp): Add structured response base model for WhatsApp bot

• Create WhatsAppResponseBase model to standardize bot response structure
• Enhance WhatsAppBot to support generic structured output schemas
• Update _send_response method to handle structured response parsing
• Add type hints and documentation for new response handling mechanism
• Improve logging for structured response processing
• Enable more flexible and type-safe bot response generation
  This change introduces a base model for WhatsApp bot responses that ensures a consistent response structure while allowing for extensible, type-safe output schemas.

v0.9.26

feat(api): Enhance API endpoint and function name generation

• Improve aiohttp session handling in make_single_request() to prevent connection errors
• Add robust function name generation for OpenAPI spec endpoints
• Create new test script to validate function name generation for OpenAPI specs
• Update example script to demonstrate edge case handling for API endpoint names
• Ensure proper session and connector closure in async API requests
• Add comprehensive test cases for problematic path name conversions
  Addresses potential issues with API endpoint generation and async request management, improving overall robustness of API integration capabilities.

refactor(extractor): Enhance HTML processing and base64 image removal

• Consolidate BeautifulSoup operations for more robust HTML processing
• Implement comprehensive base64 image removal strategy with detailed debugging
• Add multiple removal techniques for base64 images in img tags, anchors, and styles
• Improve error handling and type checking during HTML manipulation
• Update example code to use different LLM model and async extraction method
• Add debug print statements to track base64 image removal process
• Refactor main content extraction and tag filtering logic

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.27

Changelog

v0.9.27

feat(whatsapp): Add structured response base model for WhatsApp bot

• Create WhatsAppResponseBase model to standardize bot response structure
• Enhance WhatsAppBot to support generic structured output schemas
• Update _send_response method to handle structured response parsing
• Add type hints and documentation for new response handling mechanism
• Improve logging for structured response processing
• Enable more flexible and type-safe bot response generation
  This change introduces a base model for WhatsApp bot responses that ensures a consistent response structure while allowing for extensible, type-safe output schemas.

v0.9.26

feat(api): Enhance API endpoint and function name generation

• Improve aiohttp session handling in make_single_request() to prevent connection errors
• Add robust function name generation for OpenAPI spec endpoints
• Create new test script to validate function name generation for OpenAPI specs
• Update example script to demonstrate edge case handling for API endpoint names
• Ensure proper session and connector closure in async API requests
• Add comprehensive test cases for problematic path name conversions
  Addresses potential issues with API endpoint generation and async request management, improving overall robustness of API integration capabilities.

refactor(extractor): Enhance HTML processing and base64 image removal

• Consolidate BeautifulSoup operations for more robust HTML processing
• Implement comprehensive base64 image removal strategy with detailed debugging
• Add multiple removal techniques for base64 images in img tags, anchors, and styles
• Improve error handling and type checking during HTML manipulation
• Update example code to use different LLM model and async extraction method
• Add debug print statements to track base64 image removal process
• Refactor main content extraction and tag filtering logic

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.26

Changelog

v0.9.26

feat(api): Enhance API endpoint and function name generation

• Improve aiohttp session handling in make_single_request() to prevent connection errors
• Add robust function name generation for OpenAPI spec endpoints
• Create new test script to validate function name generation for OpenAPI specs
• Update example script to demonstrate edge case handling for API endpoint names
• Ensure proper session and connector closure in async API requests
• Add comprehensive test cases for problematic path name conversions
  Addresses potential issues with API endpoint generation and async request management, improving overall robustness of API integration capabilities.

refactor(extractor): Enhance HTML processing and base64 image removal

• Consolidate BeautifulSoup operations for more robust HTML processing
• Implement comprehensive base64 image removal strategy with detailed debugging
• Add multiple removal techniques for base64 images in img tags, anchors, and styles
• Improve error handling and type checking during HTML manipulation
• Update example code to use different LLM model and async extraction method
• Add debug print statements to track base64 image removal process
• Refactor main content extraction and tag filtering logic

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.25

Changelog

v0.9.25

• refactor(extractor): reorganize imports and add model_config attribute

• Moved the import of run_sync to a more appropriate location

• Introduced model_config attribute using ConfigDict for better configuration management

refactor(whatsapp): streamline WhatsApp bot structure and introduce v2 components

• Removed unnecessary context_manager field from WhatsAppBot class.
• Updated AudioMessage class to improve type handling in convert_long_to_str method.
• Added new v2 module with BotConfig, BatchProcessorManager, and message limit definitions for enhanced configuration and processing capabilities.
• Introduced new files for in-memory batch processing and payload handling.
• Established a new WhatsAppBot class in v2 for better organization and functionality.

v0.9.24

Changelog

v0.9.24

v0.9.23

Changelog

v0.9.23

• fix(google_provider): wrongly setting "parsed" attribute on generation

v0.9.22

Changelog

v0.9.22

• fix(apis): import cycle errors