SeePlanAct

Basic Information

Short description: "A web agent equipped with memory and planning components for multihop, info-seeking questions." [source]
Intended uses: What does the developer state that the system is intended for?: SPA was built to tackle tasks in AssistantBench: a benchmark that "evaluates the ability of web agents to automatically solve realistic and time-consuming tasks." [source]
Date(s) deployed: Earliest GitHub commits from July 13, 2024 [source]

Developer

Legal name: Tel Aviv University (et al.) [source]
Entity type: Academic Institution(s)
Country (location of developer or first author's first affiliation): Israel [source]
Safety policies: What safety and/or responsibility policies are in place?: None but see the "Ethical Implications and Broader Impact" section of the paper [source]

System Components

Backend model(s): What model(s) are used to power the system?: Variable, since SPA is built on SeeAct, which is compatible with several backend models. The developers mainly use GPT-4T and Claude-3.5-Sonnet [source] [source]
Public model specification: Is there formal documentation on the system’s intend...: None
Description of reasoning, planning, and memory implementation: How does the syst...: SPA has "two specialized components: (1) a planning component for the model to plan and re-plan its execution, and (2) a memory component with the option to transfer information between steps via a memory buffer." The authors provide the prompt that they use to achieve this in Figure 20 of [source].
Observation space: What is the system able to observe while 'thinking'?: SPA operates in an environment where it can observe webpage screenshots and HTML elements, along with its task memory [source]
Action space/tools: What direct actions can the system take?: SPA can take the following actions when browsing the internet: "Click, Select, Type, GoTo, Search, GoBack, Scroll, Press Enter, Terminate." [source]
User interface: How do users interact with the system?: Code released in a GitHub repository without a user interface [source]
Development cost and compute: What is known about the development costs?: Unknown

Guardrails & Oversight

Accessibility of components
Weights: Are model parameters available?: N/A; backends various models
Data: Is data available?: N/A; backends various models
Code: Is code available?: Available [source]
Documentation: Is documentation available?: Documentation on GitHub [source] and pre-print [source]
Scaffolding: Is system scaffolding available?: Available [source]
Controls and guardrails: What notable methods are used to protect against harmfu...: The system is prompted to "not attempt to create accounts, log in or do the final submission". Individual users can also monitor and intervene manually [source]
Monitoring and shutdown procedures: Are there any notable methods or protocols t...: The model is prompted to terminate a task "if it requires potentially harmful actions." [source]
Customer and usage restrictions: Are there know-your-customer measures or other ...: None

Evaluation

Notable benchmark evaluations (e.g., on SWE-Bench Verified): SPA is evaluated on AssistantBench and FanoutQA [source]
Bespoke testing (e.g., demos): SPA achieves 12.9% on a benchmark that was constructed by the authors to test for autonomous task execution (AssistantBench) when leveraging Claude 3.5 Sonnet [source]
Safety: Have safety evaluations been conducted by the developers? What were the ...: None
Publicly reported external red-teaming or comparable auditing
Personnel: Who were the red-teamers/auditors?: None
Scope, scale, access, and methods: What access did red-teamers/auditors have and...: None
Findings: What did the red-teamers/auditors conclude?: None

Ecosystem

Interoperability with other systems: What tools or integrations are available?: By default, SPA can navigate the internet and interact with web tools like Google Maps. Beyond this, interoperability is not highlighted in particular [source]
Usage statistics and patterns: Are there any notable observations about usage?: The GitHub repository has 2 forks and 41 stars [source]
Other notes (if any): --