Cartesia

Cartesia

cartesia.aiVoice TTSHermesHermes
76/ 100
B
Score Breakdown76%

Lost points on 4 checks

  • time2/15
  • efficiency1/10
  • zero errors0/5
  • OpenAPI0/14
Eval Score (70% weight)72%
cost$0.01 (<$0.05, excellent)+10
time152s (150s–300s, very slow)+2
efficiency23 tool calls (≤25, below average)+1
found docsTouched docs at docs.cartesia.ai: yes (6 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)86%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
+0
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) + (86 × 0.3)= 76%
Replay
Using https://docs.cartesia.ai, complete the following task:

Using Cartesia, build me a Python script that converts text to speech:

1. Follow the Cartesia documentation to authenticate and choose the simplest text-to-speech API path
2. Convert this text to speech:
   "Your order has been shipped and will arrive by Friday."
3. Save the audio as output.mp3. If only WAV output is supported, save it as output.wav instead
4. Print a confirmation message with the filename when the file is saved

Use documented Cartesia APIs only; do not generate fake or placeholder audio.
tts_generator.py

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Run completed Oct 25, 2026, 11:05 PM