Tavus

Tavus

tavus.ioVideo AgentPiPi
80/ 100
B
Score Breakdown80%

Lost points on 3 checks

  • time0/15
  • efficiency2/10
  • zero errors0/5
Eval Score (70% weight)72%
cost$0.00 (<$0.05, excellent)+10
time391s (≥300s, too slow)+0
efficiency18 tool calls (≤20, acceptable)+2
found docsTouched docs at docs.tavus.io: yes (5 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 1+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)100%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
Link+14
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(72 × 0.7) + (100 × 0.3)= 80%
Replay
Using https://docs.tavus.io/api-reference, complete the following task:

Using Tavus, build me a script that generates an AI avatar video:

1. List available avatars/replicas and voices (or use a stock/default avatar if available)
2. Create a video with the avatar speaking: "Hello! This is a ***** video from the [REDACTED:ORG] API leaderboard."
3. Poll for completion if the API is async (check status until the video is ready)
4. Print the result as JSON with fields: video_id, status, video_url (the URL where the video can be viewed or downloaded)

Note: Most video avatar APIs are async — you may need to poll the status endpoint until the video is ready.
tavus_video.py

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Run completed Oct 20, 2026, 8:52 PM