### Install Python dependencies

Source: https://docs.humata.ai/guides/readme.md

Run this command to install all required Python packages listed in requirements.txt.

```bash
pip3 install -r requirements.txt
```

--------------------------------

### Query documentation via HTTP GET

Source: https://docs.humata.ai/guides/llms.txt

Perform a GET request to the documentation index with an ask parameter and an optional goal parameter to receive a direct answer.

```http
GET https://docs.humata.ai/guides/readme/website-import.md?ask=<question>&goal=<end_goal>
```

--------------------------------

### GET /guides/readme/website-import.md

Source: https://docs.humata.ai/guides/llms.txt

Performs a natural language query against the documentation index to retrieve answers and relevant excerpts.

```APIDOC
## GET /guides/readme/website-import.md

### Description
Perform an HTTP GET request on the documentation index with the `ask` parameter, and the optional `goal` parameter to retrieve a direct answer and relevant excerpts.

### Method
GET

### Endpoint
https://docs.humata.ai/guides/readme/website-import.md

### Parameters
#### Query Parameters
- **ask** (string) - Required - The immediate question to ask, written in natural language.
- **goal** (string) - Optional - Describes the broader end goal to tailor the answer.

### Request Example
GET https://docs.humata.ai/guides/readme/website-import.md?ask=How+do+I+import+a+website?&goal=Setup+my+knowledge+base
```

--------------------------------

### Handle Server-Sent Events from Ask Endpoint

Source: https://docs.humata.ai/guides/humata-api/how-to-ask.md

Example of the streaming response format returned by the Ask endpoint when querying a document.

```text
data: { 'content': 'George Washington was ' }
data: { 'content': 'the first ' }
data: { 'content': 'president of the United States[3].' }
data: { 'content': '\n\nReferences - [3]: Page 10 of History of the United States.pdf' }
```

--------------------------------

### GET /v1/insights/download

Source: https://docs.humata.ai/guides/humata-api/how-to-download-data.md

Initiates a request to download user data from the Humata platform.

```APIDOC
## GET /v1/insights/download

### Description
Initiates a request to retrieve and download your data from Humata.

### Method
GET

### Endpoint
/v1/insights/download
```

--------------------------------

### GET /v1/pdf/{pdf-id}

Source: https://docs.humata.ai/guides/humata-api/how-to-get-pdf.md

Fetches the information of an already created PDF. This is typically used to poll the status of the PDF until it reaches a 'SUCCESS' state.

```APIDOC
## GET /v1/pdf/{pdf-id}

### Description
Fetch the information of an already created PDF. Typically this is useful to poll until `pdf.read_status == 'SUCCESS'` (and not `pdf.read_status == 'FAILED'`) before asking questions against the PDF.

### Method
GET

### Endpoint
/v1/pdf/{pdf-id}

### Parameters
#### Path Parameters
- **pdf-id** (string) - Required - The unique identifier of the PDF.
```

--------------------------------

### POST /v1/users

Source: https://docs.humata.ai/guides/humata-api/how-to-create-new-users.md

Creates a new user in the system.

```APIDOC
## POST /v1/users

### Description
Creates a new user account.

### Method
POST

### Endpoint
/v1/users
```

--------------------------------

### POST /v1/users/token

Source: https://docs.humata.ai/guides/humata-api/how-to-create-new-users.md

Generates an authentication token for a user.

```APIDOC
## POST /v1/users/token

### Description
Generates an authentication token for the specified user.

### Method
POST

### Endpoint
/v1/users/token
```

--------------------------------

### POST /v1/ask

Source: https://docs.humata.ai/guides/humata-api/how-to-ask.md

Sends a question to the Humata Ask endpoint to initiate a conversation and receive a streaming response based on the provided documents.

```APIDOC
## POST /v1/ask

### Description
Allows you to chat with your document by sending a question to the Ask endpoint. The response is returned as a stream of server-sent events.

### Method
POST

### Endpoint
/v1/ask

### Response
#### Success Response (200)
- **data** (string) - A stream of server-sent events containing the answer content and references.

#### Response Example
data: { 'content': 'George Washington was ' }
data: { 'content': 'the first ' }
data: { 'content': 'president of the United States[3].' }
data: { 'content': '\n\nReferences - [3]: Page 10 of History of the United States.pdf' }
```

--------------------------------

### POST /v2/import-url

Source: https://docs.humata.ai/guides/humata-api/how-to-import-document.md

Imports a document into Humata by providing a URL to the document.

```APIDOC
## POST /v2/import-url

### Description
Imports a new document into Humata by passing a publicly available URL or a signed URL. The document is downloaded and processed on the Humata server.

### Method
POST

### Endpoint
/v2/import-url
```

--------------------------------

### POST /v1/conversations

Source: https://docs.humata.ai/guides/humata-api/how-to-create-conversations.md

Creates a new conversation associated with a set of documents. This is a prerequisite step before asking questions.

```APIDOC
## POST /v1/conversations

### Description
Creates a conversation with a set of documents. A conversation must be created before asking questions to documents.

### Method
POST

### Endpoint
/v1/conversations
```

--------------------------------

### Validate OpenAPI specification

Source: https://docs.humata.ai/guides/readme.md

Execute the validation script to ensure the OpenAPI specification is correctly formatted.

```bash
python3 validate-openapi.py
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.