Metadata-Version: 2.4
Name: auto_survey
Version: 0.1.0
Summary: Automated literature surveys.
Project-URL: Repository, https://github.com/alexandrainst/auto_survey
Project-URL: Issues, https://github.com/alexandrainst/auto_survey/issues
Author-email: Dan Saattrup Smart <saattrupdan@gmail.com>
Maintainer-email: Dan Saattrup Smart <saattrupdan@gmail.com>
License: MIT License
        
        Copyright (c) 2025 Dan Saattrup Smart
        
        Permission is hereby granted, free of charge, to any person obtaining a copy of this
        software and associated documentation files (the "Software"), to deal in the Software
        without restriction, including without limitation the rights to use, copy, modify,
        merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
        permit persons to whom the Software is furnished to do so, subject to the following
        conditions:
        
        The above copyright notice and this permission notice shall be included in all copies
        or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
        INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
        PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
        HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
        CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
        THE USE OR OTHER DEALINGS IN THE SOFTWARE.
License-File: LICENSE
Requires-Python: <4.0,>=3.11
Requires-Dist: click>=8.3.0
Requires-Dist: docling>=2.7.0
Requires-Dist: httpx==0.27.2
Requires-Dist: litellm>=1.77.7
Requires-Dist: python-dotenv>=1.1.1
Requires-Dist: termcolor>=3.1.0
Description-Content-Type: text/markdown

# AutoSurvey

Conduct your literature survey in 10 minutes for $0.05.

______________________________________________________________________
[![Code Coverage](https://img.shields.io/badge/Coverage-0%25-red.svg)](https://github.com/saattrupdan/auto-survey/tree/main/tests)
[![Documentation](https://img.shields.io/badge/docs-passing-green)](https://saattrupdan.github.io/auto-survey)
[![License](https://img.shields.io/github/license/saattrupdan/auto-survey)](https://github.com/saattrupdan/auto-survey/blob/main/LICENSE)
[![LastCommit](https://img.shields.io/github/last-commit/saattrupdan/auto-survey)](https://github.com/saattrupdan/auto-survey/commits/main)
[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg)](https://github.com/saattrupdan/auto-survey/blob/main/CODE_OF_CONDUCT.md)

Developer:

- Dan Saattrup Smart (<saattrupdan@gmail.com>)

## Getting Started

### Get a Semantic Scholar API key

The first thing to do is to [request an API key for Semantic
Scholar](https://www.semanticscholar.org/product/api#api-key-form). Note that this can
only be used for research purposes. Here are some suggested answers for the form:

```markdown
> How do you plan to use Semantic Scholar API in your project? (50 words or more)*

Creating literature surveys using the AutoSurvey package.

> Which endpoints do you plan to use?

The /paper/search endpoint.

> How many requests per day do you anticipate using?

Around 100 requests per day.
```

When you have it, you create a file called `.env` in your current directory with the
following content:

```bash
SEMANTIC_SCHOLAR_API_KEY="<your key here>"
```

If you already had a `.env` file, you can just append the line above to it.

### Set up an LLM API key

Next, you need to set up an API key for the large language model (LLM) that you want to
use. The default model is `gpt-4.1-mini` from OpenAI, which requires you to have an OpenAI
API key, and again add it to your `.env` file:

```bash
OPENAI_API_KEY="<your key here>"
```

### Installing and Running

The easiest way to use the package is as a
[uv](https://docs.astral.sh/uv/getting-started/installation/) tool. You can simply start
searching for properties using the following command:

```bash
uvx auto-survey "<your topic here>"
```

This both installs the package and creates the literature survey. All the available
options are listed below, but you can always get these by running the following command:

```bash
uvx auto-survey --help
```

## Using Different Model Providers

The package supports all of [LiteLLM's
providers](https://docs.litellm.ai/docs/providers/), including OpenAI, Anthropic,
Google, xAI, local models, and more. You can simply set the `--model` argument to the
model you want to use. For example, to use Claude Sonnet 4.5 from Anthropic, use

```bash
uvx auto-survey "<your topic here>" --model "claude-sonnet-4-5"
```

Some providers require you to prefix the model ID with the provider name. For instance,
to use the Grok-3-mini model from xAI, you need to use

```bash
uvx auto-survey "<your topic here>" --model "xai/grok-3-mini"
```

All of this is documented in the [LiteLLM provider
documentation](https://docs.litellm.ai/docs/providers). If you use a different provider,
you need to set different environment variables. See the [LiteLLM provider
documentation](https://docs.litellm.ai/docs/providers) for more information on which
environment variables to set.

### Custom Inference API

You can also run the package with a custom inference API. In this case you need to set
the `--base-url` argument with the URL to the inference API, and also set the
`--api-key-env-var` argument with the name of the environment variable that contains the
API key for the inference API. This variable must again be set in the `.env` file:

```bash
<value-of-api-key-env-var>="<your key here>"
```

Lastly, when using custom inference APIs, you need to use a custom prefix as well,
dependending on what kind of inference server you're using. If it is running with vLLM,
you need to use the `hosted_vllm/` prefix, for instance, and Ollama models use the
`ollama_chat/` prefix. See the [LiteLLM provider
documentation](https://docs.litellm.ai/docs/providers) for more information on which
prefixes to use.
