* fix: improve handling of ToolCallingAgent output in ToolCallingAgentComponent
The code changes in `ToolCallingAgent.py` modify the `ToolCallingAgentComponent` class to improve the handling of the output from the `ToolCallingAgent`. The changes include updating the logic to handle both single results and lists of results, extracting the relevant text from the results, and assigning it to the `result_string` variable. This ensures that the `result_string` contains the appropriate output to be returned as a `Message` object.
* fix(ToolCallingAgent.py): fix variable name typo from 'result' to 'results' for correct data processing
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* feat(pyproject.toml): update package versions to 1.0.6 for langflow and 0.0.82 for langflow-base to reflect latest changes and improvements
* chore(lock): new lock
* fix: update ChatGroq output in GroqModel.py
Fixed Create Data component to maintain old values and use new code structure
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(tracing_service): use correct trace name and attribute name
* fix: update tracing_service attribute name in LCModelComponent
* feat: add trace_name property in CustomComponent
* fix: update trace_name usage in Component build method
* feat: update log method in CustomComponent to use trace_name
* fix: update trace_name usage in Component build method
* feat(custom_component): add logs to CustomComponent
The `CustomComponent` class now includes a `_logs` attribute to store log messages. This attribute is initialized as an empty list in the constructor. The `log` method has been updated to accept an optional `name` parameter, which allows specifying a custom name for the log message. If no name is provided, a default name is generated based on the number of logs already stored.
This change enhances the logging functionality of the `CustomComponent` and provides more flexibility in managing log messages.
* feat(tracing_service): add logs to TracingService
This commit adds a `_logs` attribute to the `TracingService` class to store log messages. The attribute is initialized as a defaultdict of lists in the constructor. The `add_log` method has been updated to append logs to the corresponding trace name in the `_logs` dictionary. This change enhances the logging functionality of the `TracingService` and allows for better management of log messages.
* chore(tracing_service): improve error handling in stop method
* refactor(tracing/service.py): update _logs data structure to support both Log objects and generic dictionaries for flexibility in handling different types of data
refactor(tracing/service.py): add conditional check to only add metadata if it is provided for better control over the information being added
* refactor: update build_model method return type annotation
* refactor(CohereModel.py): update return type of build_model method to only LanguageModel for clarity and consistency
* chore(GroqModel.py): add stop_sequences parameter to GroqModel query method
* refactor(AstraDB.py): reorganize imports and update cached_vectorstore type
* refactor: update cached_vectorstore type and input order in CassandraVectorStoreComponent
* chore(GroqModel.py): remove unused stop_sequences parameter in GroqModel query method
* chore: adding default values to Azure OpenAI mandatory component
* fix: huggingface model component:
- Change Huggingface-hub version from 0.20.0 to 0.22.0;
- Internal model_id resolver not working, create a field to model_id;
* feat: add HuggingFace as extra dependency
* chore: remove redundant atribution on children
* fix: remove user environment variables from ChatLiteLLMModelComponent
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Co-authored-by: joaoguilhermeS <j.guilherme.s.oliveira2@gmail.com>
* fix azure openai model component: resource not found
* type
* type
* [autofix.ci] apply automated fixes
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* chore: update linting workflows to include dev branch in merge_group
* Update README.md
Add 1.0 banner
* Update README.md
* chore: update package versions in pyproject.toml files
* Added db value to every onChange on parameters
* Refactored global variables to find variables on the first render, and to execute just one onChange to update both values and db
* Changed group recursion function to include check for global variables already applied or outdated
* Removed already inserted component check for default fields on global variables
* Fixed import error
* Added required parameters to update node on drop
* Removed check for unused hardcoded name
* Added global variables handling on nodes when adding a flow
* Fixed maximum update depth when deleting used global variable
* Fixed type error on addNewVariableButton modal
* Fixed openai api key on starter flows
* Fixed values to get the .env values by default on the starter projects
* Formatted flows
* fix erros reported by mypy
* [autofix.ci] apply automated fixes
* 🐛 (prototypes/__init__.py): fix missing comma in the list of imported components to prevent syntax error
* chore: Fix type hinting in ConditionalRouterComponent
* [autofix.ci] apply automated fixes
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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Rodrigo Nader <rodrigosilvanader@gmail.com>
Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com>
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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* feat: Add LanguageModel to field_typing module
* chore: Fix type annotations in model build methods
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Refactor the `ensure_valid_key` function in `utils.py` to improve the generation of a valid key for authentication. The function now checks if the input key is too short and generates a random key if necessary. Additionally, the key is now URL-safe base64-encoded. This change enhances the security and reliability of the authentication process.
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
This commit adds a new component called CreateListComponent, which is responsible for creating a list of texts. The component takes in one or more texts as input and outputs a list of Data objects. This component is useful for scenarios where a list of texts needs to be processed or manipulated.
The CreateListComponent class is added to the helpers module in the langflow.components package. It includes the necessary inputs and outputs, as well as a create_list method that generates the list of Data objects based on the input texts.
This commit also includes some minor changes to other files, such as renaming the UUIDGeneratorComponent to IDGeneratorComponent and updating import statements.
This commit adds a new optional `metadata` parameter to the `end` method in the `BaseTracer` class. The `metadata` parameter allows for passing additional information related to the tracing process. This enhancement provides more flexibility and extensibility to the tracing functionality.
This commit refactors the code in the `migrate_messages_from_monitor_service_to_database` function to handle errors that may occur when retrieving messages from the monitor service. If an exception is raised, the error is logged and the function returns `False`. This ensures that the migration process can continue even if there is an issue with retrieving the messages.
This commit adds a default value of `None` for the `index` field in the `DuckDbMessageModel` class. The default value is set using the `Field` class from the `pydantic` library, with the `default` parameter set to `None` and the `alias` parameter set to "index". This change ensures that the `index` field is optional and can be omitted when creating instances of the `DuckDbMessageModel` class.
Note: The commit message has been generated based on the provided code changes and recent commits.
This commit imports the firecrawl integration package in the FirecrawlCrawlApi and FirecrawlScrapeApi files. It ensures that the package is available for use in the code. If the package is not installed, an ImportError is raised with instructions to install it using `pip install firecrawl-py`.
This commit updates the import statement for the `DuckDbMessageModel` class in the `monitor/service.py` file. The import is modified to reflect the recent changes made to the `monitor/schema.py` file, where the `DuckDbMessageModel` class was added. This update ensures that the correct class is imported and used in the `add_row` method of the `MonitorService` class.
