A Vision-First Architecture for Robust Web Agents
Project description
Websight
Vision first browser agents based on Websight-7B, a custom 7B parameter model.
Installation
pip install websight
# or
uv add websight
Quickstart
Call the model directly on an image:
from websight import websight_call
action = websight_call(
prompt="Click the Login button",
history=[], # prior (reasoning, action) pairs if you have them
image_base64="data:image/png;base64,<...>",
)
print(action.action) # e.g., "click"
print(action.args) # e.g., {"x": "175", "y": "514"}
Reference
- websight.websight_call
def websight_call(
prompt: str,
history: list[tuple[str, str]],
image_base64: str,
console: rich.console.Console | None = None,
max_new_tokens: int = 1000,
) -> Action
Calls the Websight VLM with a screenshot and instruction, returning a structured Action.
- websight.Action
class Action(BaseModel):
action: str # e.g. "click", "drag", "type", "scroll", ...
args: dict[str, str] # e.g. {"x": "175", "y": "514"}
reasoning: str # model rationale
- websight.Agent
from websight.agent import Agent
agent = Agent(show_browser=False)
result = agent.run("Open https://example.com and search for 'websight'", max_iterations=10)
Basic Agent loop using Playwright: takes a screenshot, calls websight_call, parses and executes the predicted action, and repeats until it sees finished(...).
Project details
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