# Sutro Docs

## Docs

- [Available Models](https://docs.sutro.sh/available-models/index.md): Reference documentation for Available Models.
- [Cancelling a Job](https://docs.sutro.sh/batch-api-reference/cancel-job.md): Cancel a batch inference job by its job_id
- [Fetch Job Details](https://docs.sutro.sh/batch-api-reference/fetch-job.md): Retrieve details for a specific job by its ID
- [Retrieving Results](https://docs.sutro.sh/batch-api-reference/job-results.md): Retrieve the results of a batch inference job by its job_id
- [Getting a Results Download URL](https://docs.sutro.sh/batch-api-reference/job-results-url.md): Materialize a cached unified results artifact in R2 and return presigned GET/HEAD URLs
- [Checking Job Status](https://docs.sutro.sh/batch-api-reference/job-status.md): Retrieve the status of a batch inference job by its job_id
- [Listing All Jobs](https://docs.sutro.sh/batch-api-reference/list-jobs.md): List all current and historical jobs with optional pagination
- [Creating a Batch Inference Job](https://docs.sutro.sh/batch-api-reference/running-batch-inference.md): Run batch inference on inline inputs, a dataset, a download URL, or a published Sutro Function.
- [Account Management](https://docs.sutro.sh/command-line-interface/account-management.md): Sutro account management with the Command Line Interface (CLI).
- [Cache Management Commands](https://docs.sutro.sh/command-line-interface/cache-commands.md): Cache management commands available with the Command Line Interface (CLI).
- [Dataset Commands](https://docs.sutro.sh/command-line-interface/dataset-commands.md): Dataset commands available with the Command Line Interface (CLI).
- [Job Commands](https://docs.sutro.sh/command-line-interface/job-commands.md): Job commands available with the Command Line Interface (CLI).
- [Cost Estimates](https://docs.sutro.sh/concepts/cost-estimates.md): Reference documentation for Cost Estimates.
- [Cumulative Logprobs (Experimental)](https://docs.sutro.sh/concepts/cumulative-logprobs.md): Reference documentation for Cumulative Logprobs (Experimental).
- [Data Retention](https://docs.sutro.sh/concepts/data-retention.md): Reference documentation for Data Retention.
- [Datasets](https://docs.sutro.sh/concepts/datasets.md): Reference documentation for Using Datasets.
- [Using Embedding Models](https://docs.sutro.sh/concepts/embeddings.md): Reference documentation for Using Embedding Models.
- [Increasing Quotas](https://docs.sutro.sh/concepts/increasing-quotas.md): Reference documentation for Increasing Quotas.
- [Job Priority](https://docs.sutro.sh/concepts/job-priority.md): Reference documentation for Job Priority.
- [Random Seeds](https://docs.sutro.sh/concepts/random-seeds.md): Reference documentation for Using Random Seeds.
- [Using Reasoning Models](https://docs.sutro.sh/concepts/reasoning-models.md): Reference documentation for Using Reasoning Models.
- [Sampling Parameters](https://docs.sutro.sh/concepts/sampling-parameters.md)
- [Structured Outputs](https://docs.sutro.sh/concepts/structured-outputs.md): Reference documentation for Structured Outputs.
- [System Prompts](https://docs.sutro.sh/concepts/system-prompts.md): Reference documentation for System Prompts.
- [Creating Datasets](https://docs.sutro.sh/datasets-api-reference/creating-datasets.md): Create a new internal dataset
- [Downloading a File](https://docs.sutro.sh/datasets-api-reference/downloading.md): Download a file from a dataset
- [Listing Datasets](https://docs.sutro.sh/datasets-api-reference/list-datasets.md): List all datasets
- [Listing Files in a Dataset](https://docs.sutro.sh/datasets-api-reference/list-files.md): List all files in a dataset
- [Uploading a File](https://docs.sutro.sh/datasets-api-reference/uploading.md): Upload a file to a dataset
- [Large Scale Embedding Generation with Qwen3 0.6B](https://docs.sutro.sh/examples/large-scale-embeddings.md): Easily (and inexpensively) create a semantic search index of over 4M document chunks from Apple's patent literature, using Sutro
- [LLM-as-a-Judge - Iteratively Improve Models, AI Apps, and Agents Offline](https://docs.sutro.sh/examples/llm-as-a-judge.md): Learn three LLM-as-a-judge techniques to improve models and agents without human feedback
- [Synthetic Data For Privacy Preservation](https://docs.sutro.sh/examples/synthetic-data-privacy.md): Learn how to create useful synthetic data from the relevant characteristics of another dataset while reducing privacy concerns.
- [Generating Representative Synthetic Data with LLMs - Zero to Hero](https://docs.sutro.sh/examples/synthetic-data-zero-to-hero.md): Get up and running with synthetic data generation using the Sutro Python SDK.
- [Running a Function](https://docs.sutro.sh/functions-api-reference/running-functions.md): Run a deployed Sutro Function by name.
- [Installation](https://docs.sutro.sh/installation/index.md): Reference documentation for Installation.
- [Introduction](https://docs.sutro.sh/introduction/index.md): Reference documentation for Sutro.
- [Batch Inference](https://docs.sutro.sh/python-sdk/batch-inference.md): Reference documentation for Batch Inference.
- [Datasets](https://docs.sutro.sh/python-sdk/datasets.md): Reference documentation for Python SDK.
- [Functions](https://docs.sutro.sh/python-sdk/functions.md): Run published Sutro Functions through the Python SDK.
- [Job Methods](https://docs.sutro.sh/python-sdk/job-methods.md): Reference documentation for Job Methods.
- [Setting Up](https://docs.sutro.sh/python-sdk/setup.md): Getting started with our Python SDK.
- [Quickstart](https://docs.sutro.sh/quickstart/index.md): Quickly get up and running with the Sutro Python SDK.
- [Sutro Functions](https://docs.sutro.sh/sutro-functions/index.md): Overview of Sutro Functions.

## OpenAPI Specs

- [openapi](https://docs.sutro.sh/api-reference/openapi.json)

## Optional

- [Models & Pricing](https://sutro.sh/pricing)