LlamaParse
Data & MLKnowledge Agents and Management in the Cloud
Release History
llama-cloud-services-py@0.6.941 featureThis patch release includes an enhancement to include xlsx files in the extract input process.
llama_parse@0.6.941 featureThis patch release introduces the ability to include xlsx files in extract input and updates dependencies.
llama_parse@0.6.93This patch release primarily focuses on adding more warnings and updating dependencies, specifically llama-cloud-services-py to version 0.6.93.
llama-cloud-services-py@0.6.93This patch release primarily focuses on adding more warnings to the system.
llama-cloud-services-py@0.6.92This patch release primarily focuses on adding deprecation notices to the codebase.
llama-cloud-services@0.5.4This patch release primarily focused on adding deprecation notices to the codebase.
llama_parse@0.6.92This patch release primarily involved updating internal dependencies, specifically llama-cloud-services-py to version 0.6.92.
llama-cloud-services-py@0.6.911 fixThis patch release bumps patch versions for Python packages and improves error reporting for invalid extractions in ExtractedData.
llama_parse@0.6.91This patch release primarily focused on updating internal Python package dependencies, including bumping versions for several packages and specifically updating llama-cloud-services-py to v0.6.91.
llama-cloud-services-py@0.6.90This patch release primarily involved the removal of an extension filter.
llama_parse@0.6.901 fixThis patch release removes the extension filter and updates dependencies, specifically llama-cloud-services-py to version 0.6.90.
llama-cloud-services@0.5.31 fixThis patch release includes bug fixes specifically targeting the retry logic within LlamaExtract and LlamaClassify components.
llama-cloud-services@0.5.2llama_parse@0.6.89llama-cloud-services-py@0.6.89llama-cloud-services@0.5.11 fixThis patch release primarily addresses an issue with publishing.
llama-cloud-services-py@0.6.881 featureThis patch release introduces the addition of tier and version information.
llama-cloud-services@0.4.31 featureThis patch release introduces the addition of tier and version information to the system.
llama_parse@0.6.88This patch release primarily updates internal dependencies, specifically upgrading llama-cloud-services-py to version 0.6.88.
llama_parse@0.6.87This patch release primarily updates internal dependencies, specifically upgrading llama-cloud-services-py to version 0.6.87.
llama-cloud-services-py@0.6.871 fixThis patch release includes an update to the spreadsheet parsing configuration.
llama_parse@0.6.861 featureThis patch release updates dependencies and enhances the extraction functionality to include confidence scores across all modes.
llama-cloud-services-py@0.6.861 featureThis patch update enhances the extraction functionality by ensuring confidence scores are accessible across all operational modes.
llama_parse@0.6.85This patch release primarily updates internal dependencies, specifically llama-cloud-services-py to version 0.6.85.
llama-cloud-services-py@0.6.851 featureThis patch release introduces support for line-level bounding boxes.
llama_parse@0.6.84This patch release primarily updates internal dependencies, specifically upgrading llama-cloud-services-py to version 0.6.84.
llama-cloud-services-py@0.6.84This patch release was primarily focused on re-aligning internal versions.
llama-cloud-services-py@0.6.831 fixThis patch release addresses a configuration detail by disabling the default use of presigned URLs within the files client.
llama_parse@0.6.83This patch release primarily updates internal dependencies, specifically llama-cloud-services-py to version 0.6.83.
llama-cloud-services@0.4.2This patch release includes an update related to new page number parameters.
llama_parse@0.6.82This patch release primarily involved updating internal dependencies, specifically llama-cloud-services-py to version 0.6.82.
llama-cloud-services-py@0.6.821 fixThis patch release includes an update to handle new page number parameters.
llama-cloud-services-py@0.6.811 featureThis patch release introduces the propagation of retrieval metadata to retriever nodes.
llama_parse@0.6.81This patch release primarily involves updating internal dependencies, specifically llama-cloud-services-py to version 0.6.81.
llama-cloud-services@0.4.11 featureThis patch release introduces the propagation of retrieval metadata to retriever nodes.
llama_parse@0.6.80This patch release primarily updates the dependency on llama-cloud-services-py to version 0.6.80.
llama-cloud-services-py@0.6.80This patch release involved renaming ClassifyClient to LlamaClassify, which is backward compatible.
llama-cloud-services@0.4.0This minor release refactors internal function calls, switching from positional arguments to explicit keyword arguments for improved clarity and robustness.
llama_parse@0.6.79This patch release primarily updates the dependency for llama-cloud-services-py to version 0.6.79.
llama-cloud-services-py@0.6.791 fixThis patch release removes an unneeded parameter from the beta classifier client.
llama-cloud-services-py@0.6.781 fixThis patch release includes a fix for the extract functionality.
llama_parse@0.6.781 fixThis patch release primarily addresses a bug fix in the extract functionality and updates dependencies.
llama-cloud-services-py@0.6.771 featureThis patch introduces the ability to return partial results when a job encounters a failure.
llama_parse@0.6.77This patch release primarily updates dependencies, specifically upgrading llama-cloud-services-py to version 0.6.77.
llama-cloud-services@0.3.101 featureThis patch release introduces LlamaClassify to the list of supported LlamaCloud services.
llama-cloud-services@0.3.91 featureThis patch release introduces ImageNode support within the TypeScript implementation.
llama-cloud-services-py@0.6.761 featureThis patch release introduces the aggressive_table_extraction flag to the Python SDK for enhanced table extraction capabilities.
llama_parse@0.6.76This patch release primarily updates the dependency on llama-cloud-services-py to version 0.6.76.
llama_parse@0.6.75This patch release primarily updates internal dependencies, specifically upgrading llama-cloud-services-py to version 0.6.75.
llama-cloud-services-py@0.6.751 fixThis patch release focuses on improving type safety during parsing operations.
llama-cloud-services-py@0.6.742 fixesThis patch release addresses an issue with default bounding box values and improves handling of LaTeX equation delimiters by adjusting dollar sign escaping.
llama_parse@0.6.74This patch release primarily focused on updating internal dependencies, including a specific update to llama-cloud-services-py.
llama-cloud-services-py@0.6.731 fixThis patch release primarily addresses dependency constraints by loosening the requirement for the packaging package.
llama_parse@0.6.73This patch release primarily updates internal dependencies, specifically llama-cloud-services-py to version 0.6.73.
llama-cloud-services@0.3.81 fixThis patch release addresses a bug where citations in agent data extraction could be undefined.
llama_parse@0.6.72This patch release primarily updates the dependency on llama-cloud-services-py to version 0.6.72.
llama-cloud-services-py@0.6.721 fixThis patch release primarily focused on fixing and testing versioning mechanisms.
llama-cloud-services@0.3.71 featureThis patch updates the llama-cloud API version and integrates functionality for agent data deletion.
v0.6.69No release notes provided.
v0.6.68No release notes provided.
llama-cloud-services@0.3.6This release primarily contains a refactoring of agent fields within the llama_cloud_services module.
v0.6.67No release notes provided.
v0.6.66No release notes provided.
llama-cloud-services@0.3.5This release primarily updates the internal 'parse' package via pull request #911.
v0.6.65No release notes provided.
v0.6.64No release notes provided.
llama-cloud-services@0.3.41 featureThis is the initial release (v0.1.0) of the llama-cloud-services library.
v0.6.63No release notes provided.
v0.6.62No release notes provided.
v0.6.60No release notes provided.
v0.6.59No release notes provided.
llama-cloud-services@0.3.31 featureThis is the initial release (v0.1.0) of the llama-cloud-services library.
llama-cloud-services@0.3.21 featureThis is the initial v0.1.0 release of the llama-cloud-services library.
v0.6.58No release notes provided.
v0.6.57No release notes provided.
llama-cloud-services@0.3.11 featureVersion 0.3.1 introduces new utility methods, `parse` and `getTables`, to the `LlamaParseReader` class.
v0.6.56No release notes provided.
llama-cloud-services@0.3.01 featureThis release introduces the new LlamaExtract client functionality to llama-cloud-services.
v0.6.55No release notes provided.
llama-cloud-services@v0.2.0BreakingVersion 0.2.0 removes the dependency on `llamaindex`, simplifying the library's external requirements.
v0.6.54No release notes provided.
llama-cloud-services@0.1.01 featureThis is the initial release (v0.1.0) of the llama-cloud-services library.
v0.6.53No release notes provided.
v0.6.52No release notes provided.
v0.6.51No release notes provided.
v0.6.50No release notes provided.
v0.6.49No release notes provided.
v0.6.48No release notes provided.
v0.6.47No release notes provided.
v0.6.46No release notes provided.
v0.6.45No release notes provided.
v0.6.44No release notes provided.
v0.6.43No release notes provided.
v0.6.42No release notes provided.
v0.6.41No release notes provided.
v0.6.40No release notes provided.
v0.6.39No release notes provided.
v0.6.38No release notes provided.
v0.6.37No release notes provided.
v0.6.36No release notes provided.
Common Errors
JobFailedException2 reportsJobFailedException in LlamaParse usually indicates an issue with the underlying parsing service, stemming from malformed input documents or service-side errors (like timeouts or model unavailability). To fix it, first ensure your input documents are valid and not excessively large, then try reducing parallelism or implementing retry logic with exponential backoff to handle potential transient service issues.
UnicodeDecodeError1 reportUnicodeDecodeError arises when Python tries to decode a byte sequence into a string using the wrong encoding. Specify the correct encoding (usually 'utf-8') when opening the file. For example, use `open(filename, 'r', encoding='utf-8')` or explicitly decode the bytes using `.decode('utf-8')`.
FileNotFoundError1 reportFileNotFoundError in LlamaParse usually arises when the specified file path in your code doesn't exist or is inaccessible. To fix this, double-check the file path for typos and ensure the file exists at that location; also, verify you have the necessary read permissions for the file. If you're using relative paths, ensure your script is running from the directory you expect it to be.
ValidationError1 reportValidationError in LlamaParse often arises when the data returned from the parsing job doesn't conform to the expected Pydantic model schema, commonly due to incorrect result_type or missing fields like 'pages' or 'job_metadata' for specific file types. To resolve this, ensure your result_type matches the actual file content (e.g., use "text" for text-based files), and verify that the parsing job provides all mandatory fields required by the JobResult schema for the specified result_type; adjust your processing or data extraction logic to create or populate these missing fields if necessary.
LlamaParserError1 reportLlamaParserError often arises from incorrect API key configuration or rate limiting issues when accessing the LlamaParse service. Ensure your `llamaparse_api_key` is correctly set in your environment or directly within your LlamaParse constructor, and verify you haven't exceeded your usage limits. Consider adding error handling with retry mechanisms to gracefully manage potential service disruptions.
Related Data & ML Packages
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Streamlit — A faster way to build and share data apps.
Subscribe to Updates
Get notified when new versions are released