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Google Bard API

Google Bard API is a Python FastAPI wrapper that exposes a REST endpoint for sending messages to Google Bard and receiving conversational responses.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Google Bard API — OpenViST project profile in AI APIs & Platforms.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need a REST interface between a Python application or other HTTP client and Google Bard, and can supply the required Bard session cookie.

Who it is for

  • Developers building applications that need to submit messages to Bard through an HTTP endpoint.
  • Python developers who want to run the documented wrapper locally or in a Docker container.

Documented uses

  • Send a message and session identifier to the `/ask` endpoint.
  • Receive a Bard response as JSON for use in an application or service.
  • Run the wrapper locally with Uvicorn or use the documented Docker build and container commands.
Before you choose

Requirements & limits

  • The documented /ask request requires a session_id corresponding to the __Secure-1PSID cookie from an authorized Bard session.
  • The README lists Python 3.9 or newer and Docker as prerequisites; its local setup uses Python, a virtual environment, pip and Uvicorn.
  • An optional USER_AUTH_KEY environment variable is documented for checking the Authorization header.
  • The repository is public, but no license is specified in the repository metadata.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the local FastAPI server

Install the project and start its documented local development server.

Before you start

  • Python 3.9 or newer
  • Docker is listed as a prerequisite in the README
  • The project repository and its requirements.txt file

Steps

  1. Clone the repository and change into its directory.

  2. Create and activate a Python virtual environment.

  3. Install dependencies with pip install -r requirements.txt.

  4. Start the app with uvicorn main:app --reload --port 8000.

Expected outcome

The README says the application should be available at http://localhost:8000.

Guide limitations

  • These are README setup instructions, not execution or compatibility tests.
  • The documented local launch command uses Uvicorn; the separate Docker deployment flow is not required for this setup.
Documentation 1 ↗
Source-based practical guide

Send a message to the /ask endpoint

Submit a message through the documented REST endpoint and receive a Bard response.

Before you start

  • A running instance of the project
  • Cookies from an authorized Bard session
  • The session_id value corresponding to the __Secure-1PSID cookie

Steps

  1. Prepare a POST request to the running server's /ask endpoint.

  2. Set the Content-Type header to application/json.

  3. Send a JSON body containing session_id and message.

  4. Read the returned JSON response.

Expected outcome

The README describes a JSON response containing the response message from Google Bard.

Guide limitations

  • The request requires a Bard session cookie obtained from an authorized session.
  • The README documents an optional USER_AUTH_KEY setting for checking the Authorization header; it does not establish current Bard compatibility.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
18 October 2026
Original website title
ra83205/google-bard-api · Official homepage title · retained in its source language
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