landingai-ade package and generated from the API specification.
The v2 APIs live under the client.v2 sub-client (for example, client.v2.parse).
Install the Library
Requires Python 3.9 or later.Set Your API Key
The library reads your API key from theVISION_AGENT_API_KEY environment variable. Generate an API key first, then set it using any of the methods below. Do not hard-code your API key in source files.
Method 1: Set the API Key as an Environment Variable
-
Set the environment variable. To persist the key across sessions on macOS or Linux, add the
exportcommand to your shell profile (.zshrcor.bashrc), then runsource ~/.zshrc. -
Initialize the client. It reads the
VISION_AGENT_API_KEYenvironment variable automatically:
Method 2: Store the API Key in a .env File
Store your API key in a.env file. The library reads the key from the environment; it does not load .env files on its own, so use python-dotenv to load the file.
- Install the
python-dotenvpackage: - Create a
.envfile in your project root and add your API key: - Load the
.envfile before you initialize the client:
Method 3: Set the API Key in a Notebook
In IPython-based notebooks (Jupyter, JupyterLab, Google Colab, or Kaggle), set the key for the current session with the%env magic command. The key is cleared when the kernel restarts, and it is visible in the notebook file if you share or commit it.
- In a notebook cell, set the environment variable:
- Initialize the client in a later cell:
API Key Precedence
If the API key is set in more than one place, the library resolves it in this order (the first match wins):- The
apikeypassed to the client constructor. - The
VISION_AGENT_API_KEYenvironment variable, whether you set it directly or loaded it from a.envfile. A value already set in your environment is not overridden by a.envfile.
Initialize the Client
Create a client. It readsVISION_AGENT_API_KEY from the environment automatically.
environment parameter to eu. API keys are region-specific: an EU key works only with the EU environment.
Parse a Document
Useclient.v2.parse to convert a document into Markdown, a structure tree, and per-element grounding. Pass a local file as a Path with the document parameter, or a remote file with document_url.
V2ParseResponse with markdown, structure, and metadata. For the full parameters and response shape, see Parse Documents.
Extract Data
Useclient.v2.extract to pull structured fields from parsed Markdown. Provide the Markdown as a string with markdown (or a remote URL with markdown_url) and a schema. The schema parameter accepts a Pydantic model, a dictionary, or a JSON string.
V2ExtractResult with extraction, extraction_metadata, markdown, and metadata. For the full parameters and response shape, see Extract Data.
Process Documents Asynchronously
For large documents or long-running work, use the async jobs interface. The client exposesparse_jobs and extract_jobs, each with create, get, list, and wait methods. The wait method polls until the job reaches a terminal state and returns the finished job.
service_tier parameter on create to "priority" for faster turnaround, or omit it to run on the standard tier. For the full workflow, service tiers, and saving output to a URL, see Parse Asynchronously and Asynchronous Extraction.
Set the Model Version
Themodel parameter is optional. When you omit it, the API uses the latest model. To pin a specific version, pass a model string such as dpt-3-pro-latest or a dated snapshot. See Model Version.
Save Output to a File
Pass the optionalsave_to parameter on parse or extract to write the full response to a JSON file. Pass a directory to use an auto-generated file name, or a path ending in .json to choose the exact file. The async job create methods do not accept save_to.
Handle Errors
The synchronousparse and extract methods raise V2SyncTimeoutError if the request exceeds the server’s synchronous time limit (HTTP 504). For large documents, use the async jobs interface instead.
When a parse partially succeeds (some pages fail), the API returns the full response with an HTTP 206 status, and the failed pages are listed in metadata. See Troubleshoot Parsing.
The job wait method returns the finished job regardless of outcome, so check job.status. To raise instead when a job fails, pass raise_on_failure=True, which raises JobFailedError. If a job does not finish within the timeout, wait raises JobWaitTimeoutError.
Additional Resources
- Python library on GitHub. The README covers client configuration not documented here, including retries, timeouts, the async client, logging, raw response access, and custom requests.
- API reference
- Parse Documents and Extract Data