Blaxel

Blaxel

blaxel.aiSandboxesPiPi
79/ 100
B
Score Breakdown79%

Lost points on 4 checks

  • time5/15
  • efficiency2/10
  • zero errors0/5
  • Context70/14
Eval Score (70% weight)77%
cost$0.00 (<$0.05, excellent)+10
time81s (60s–90s, good)+5
efficiency19 tool calls (≤20, acceptable)+2
found docsTouched docs at docs.blaxel.ai: yes (6 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 3+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
+0
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%
(77 × 0.7) + (86 × 0.3)= 79%
Replay
Using https://docs.blaxel.ai/Sandboxes/Overview, complete the following task:

Using Blaxel, build me a script that runs a multi-step computation inside a Blaxel sandbox:
        
1. Use the Blaxel Python SDK to create/connect to a sandbox
2. Inside the sandbox, execute the following pipeline:
   a. Install the `sympy` package using pip
   b. Run a Python script that:
      - Computes the 10th Fibonacci number iteratively
      - Uses sympy to check if that number is prime
      - Prints the result as JSON: {"fibonacci_10": <number>, "is_prime": <boolean>}
3. Capture the sandbox execution output and print it to stdout

All computation must run inside the Blaxel sandbox, not in your local Python process. Do not use subprocess — use the Blaxel SDK's execution primitives.
blaxel_sandbox_pipeline.py

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Run completed Oct 20, 2026, 8:10 PM