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Run code in sandboxes for Python and TypeScript in isolated secure environments with sub-second spin up times.
OpenAI SDK
Vercel AI SDK
LangChain SDK
import { z } from "zod";
import { zodResponseFormat } from "openai/helpers/zod";
const FactorialSchema = z.object({
fractional: z.number(),
});
const response = await interfaze.chat.completions.create({
model: "interfaze-beta",
messages: [
{
role: "user",
content: "What is the factorial of 5?",
},
],
response_format: zodResponseFormat(FactorialSchema, "factorial_schema"),
});
console.log(response.choices[0].message.content);
//@ts-expect-error precontext is not typed
const precontext = response.precontext;
console.log("Sandbox Results:", precontext?.[0]?.result);JSON output
{
"object": {
"fractional": 120
},
"response": {
"id": "interfaze-1775193886199",
"modelId": "interfaze-beta",
"body": {
"id": "interfaze-1775193886199",
"object": "chat.completion",
"model": "interfaze-beta",
"usage": {
"prompt_tokens": 2236,
"completion_tokens": 21,
"total_tokens": 2257
},
"precontext": [
{
"name": "code_execute",
"result": {
"code_script": "# Calculate factorial of 5 and print\nimport math\nprint(math.factorial(5))",
"language": "python",
"output": "120\n",
"is_action_tool": true
}
}
]
}
},
"finishReason": "stop",
"usage": {
"inputTokens": 2236,
"outputTokens": 21,
"totalTokens": 2257
}
}precontext contains the code generated and executed by the model to achieve the final response.
OpenAI SDK
Vercel AI SDK
LangChain SDK
import { z } from "zod";
import { zodResponseFormat } from "openai/helpers/zod";
const CountingSchema = z.object({
answer: z.number(),
});
const response = await interfaze.chat.completions.create({
model: "interfaze-beta",
messages: [
{
role: "user",
content: "How many r's are there in strawberry?",
},
],
response_format: zodResponseFormat(CountingSchema, "counting_schema"),
});
console.log(response.choices[0].message.content);
//@ts-expect-error precontext is not typed
const precontext = response.precontext;
console.log("Sandbox Results:", precontext?.[0]?.result);JSON output
{
"object": {
"answer": 3
},
"response": {
"id": "interfaze-1775195660480",
"modelId": "interfaze-beta",
"body": {
"id": "interfaze-1775195660480",
"object": "chat.completion",
"model": "interfaze-beta",
"usage": {
"prompt_tokens": 2278,
"completion_tokens": 21,
"total_tokens": 2299
},
"precontext": [
{
"name": "code_execute",
"result": {
"code_script": "print('strawberry'.count('r'))",
"language": "python",
"output": "3\n",
"is_action_tool": true
}
}
]
}
},
"finishReason": "stop",
"usage": {
"inputTokens": 2278,
"outputTokens": 21,
"totalTokens": 2299
}
}OpenAI SDK
Vercel AI SDK
LangChain SDK
const response = await interfaze.chat.completions.create({
model: "interfaze-beta",
messages: [
{
role: "user",
content: "Create me a bouncing ball animation in python",
},
],
});
console.log(response.choices[0].message.content);
/*
Response -
import sys
import random
import pygame
def main():
# Initialize Pygame
pygame.init()
WIDTH, HEIGHT = 800, 600
screen = pygame.display.set_mode((WIDTH, HEIGHT))
pygame.display.set_caption("Bouncing Ball")
# Colors
BG = (18, 18, 18)
BALL_COLOR = (52, 152, 219)
# Ball properties
radius = 25
x = WIDTH // 2
y = HEIGHT // 2
# Random initial velocity
vx = random.choice([-5, -4, -3, 3, 4, 5])
vy = random.choice([-5, -4, -3, 3, 4, 5])
clock = pygame.time.Clock()
FPS = 60
running = True
while running:
# Event handling
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
# Update position
x += vx
y += vy
# Bounce on walls
if x - radius <= 0:
x = radius
vx = -vx
elif x + radius >= WIDTH:
x = WIDTH - radius
vx = -vx
if y - radius <= 0:
y = radius
vy = -vy
elif y + radius >= HEIGHT:
y = HEIGHT - radius
vy = -vy
# Draw
screen.fill(BG)
pygame.draw.circle(screen, BALL_COLOR, (int(x), int(y)), radius)
pygame.display.flip()
# Cap the frame rate
clock.tick(FPS)
pygame.quit()
sys.exit()
if __name__ == "__main__":
main()
*/
//@ts-expect-error precontext is not typed
const precontext = response.precontext;
console.log("Sandbox Results:", precontext?.[0]?.result);