A newer version of the Gradio SDK is available: 6.31.0
title: Final Assignment Agent
emoji: 🕵️
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 6.29.1
python_version: 3.1
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_expiration_minutes: 480
Agents Course — Unit 4
An evidence-based agent using Groq, smolagents tool schemas and a native agent loop.
Add GROQ_API_KEY as a Space Secret. The default text model is
openai/gpt-oss-120b. Optional variables: GROQ_MODEL and GROQ_VISION_MODEL.
The default vision model is qwen/qwen3.8-27b; audio uses whisper-large-v3-turbo.
The app does not change your Groq plan or call the Space GPU. Free-plan quotas apply.
Sign in as the Space owner. Run one question or the remaining questions, review answers and tool traces, then use the separate official submission button. Successful answers are saved in private runtime storage and can be restored on reconnect. A Space rebuild/reset removes runtime files; JSON answer backups can be imported through the owner-only restore controls.
Tools support web search, historical English Wikipedia revisions and sections, paginated webpages/PDFs, page-text lookup, arithmetic, XLSX reading, restricted Python interpretation, audio transcription, and image analysis. Chess positions are checked with Stockfish. Unsupported Python constructs are returned as source for reasoning, with an explicit execution limitation. Video scene analysis is not implemented. Unknown answers and failed questions are omitted from submission.
After provider tool-parser errors, the agent retains observations and retries with a JSON action planner. A valid rejected JSON tool call may be recovered only when its name is allowlisted; failed-generation prose is never accepted as an answer. Every draft answer gets a second pass to check source, constraints and format. No benchmark answer keys, copied submission answers or hardcoded question answers are included in the code. Optional source URLs can guide a retry to original evidence.
The official course attachment endpoint can return 404. Original input files may be restored through the owner-only input control after accepting GAIA's access conditions. Inputs are kept in private runtime storage, never in the public Git repository or publicly served Gradio file cache. Only the owner may run tools, restore data or submit. No API keys or provider reasoning are displayed.
ZeroGPU startup registers an uncalled compatibility function; model inference runs on Groq. No benchmark score or certificate result is guaranteed.
References: