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Ask a question to your Guru
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Ask Question
Ask a question to your AI-powered Q&A assistant and receive a detailed response with references.
To ask follow-up questions, include the
session_id from a previous response in your request. This allows the Guru to maintain context of the conversation.Path Parameters
string
required
The slug of the Guru to ask a question to
Headers
string
required
Your API key for authentication. You can obtain your API key from the Gurubase dashboard.
Body Parameters
string
required
The question to ask your Guru
boolean
default:false
Whether to stream the response or not. If true, only the content of the response will be returned in chunks.
string
default:"chat"
Selects the answer pipeline for this request. Accepted values:
chat(default): the classic single-pass answer pipeline.agent: the autonomous tool loop, which lets the Guru chain Agentic Actions and other tools before answering.
agent requires an agent-capable Guru (multi-step answers enabled with at least one usable tool). If the Guru does not qualify, the request silently falls back to chat. Any unrecognized value is also treated as chat.string
Maintain conversation context for follow-up questions. When a question is asked, the response includes a session_id that can be used in subsequent requests. On the Gurubase platform, these conversation sessions are called “Binges”.
string
External user identifier for tracking user-specific conversation sessions. When provided, this ID is stored in the session. If a session already exists with a different external_user_id, the request will be rejected.
boolean
default:false
Fetch an existing answer. Do not ask a new question (generally used after streaming to fetch the answer fields like references etc.).
array
Optional list of image attachments to include with the question. Each item is an object with:
data(string): Base64-encoded image as a data URL, formatted asdata:<mime>;base64,<payload>(see theencode_binaryhelper in the “Asking With Attachments” example).name(string): File name (e.g.screenshot.png).type(string): MIME type (e.g.image/png).
array
Optional list of log file attachments to include with the question. Each item is an object with:
data(string): Raw UTF-8 log text (see theread_loghelper in the “Asking With Attachments” example). Not base64-encoded.name(string): File name (e.g.app.log).
array
Optional list of PDF attachments to include with the question. Each item is an object with:
data(string): Base64-encoded PDF as a data URL, formatted asdata:<mime>;base64,<payload>(see theencode_binaryhelper in the “Asking With Attachments” example).name(string): File name (e.g.doc.pdf).type(string): MIME type (typicallyapplication/pdf).
Response
string
Unique identifier for the question-answer pair
string
The answer in Markdown format
string
The original question
string
The date when the answer was generated
number
Confidence score of the answer (0-100)
array
Array of reference sources used to generate the answer
string
Unique identifier for the conversation session
string
URL link to open the question on the app
boolean
Whether the question can receive votes and feedback. Returns
false for simple interactions and clarifications, true for normal answers. See the Record Vote endpoint for more information on providing feedbacks and votes.When
stream=true, the response will be a text stream containing only the answer content in chunks, not the full JSON object. The JSON response format shown below applies only when stream=false (default).Code Examples
- Streaming and Fetching
- Asking With Attachments
Stream a response for real-time output, then fetch the completed answer to get metadata like
trust_score, references, and session_id.