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The complete platform for building, testing, and scaling AI-powered software engineering products.
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from openai import OpenAI
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from anthropic import Anthropic
ai = Anthropic()
completion = ai.messages.create(
model="claude-3-5-sonnet-latest",
messages=[{"role": "user", "content": "Generate a python script to generate a maze!"}]
)
client = Runloop()
devbox = client.devboxes.create()
client.devboxes.write_file(
id=devbox.id,
contents=message.content,
file_path="maze_generator.py"
)
diagnostics = client.devboxes.language_server.get_diagnostics(devbox.id,file="maze_generator.py")
client.devboxes.language_server.apply_autofixes(devbox.id, diagnostics=diagnostics)
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from openai import OpenAI
ai_client = OpenAI(
base_url="https://api-inference.huggingface.co/v1/", api_key=os.environ.get("HF_API_KEY")
)
completion = ai_client.completions.create(
model="meta-llama/CodeLlama-70b-hf",
messages=[{"role": "user", "content": "Generate a python script to generate a maze!"}]
)
runloop_client = Runloop()
devbox = runloop_client.devboxes.create() runloop_client.devboxes.write_file(
id=devbox.id,
contents=completion.choices[0].message,
file_path="maze_generator.py"
)
snapshot = runloop_client.devboxes.snapshot_disk(id=devbox.id)
runloop_client.devboxes.create(snapshot_id=snapshot.id)
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from openai import OpenAI
ai_client = OpenAI(
base_url="https://api-inference.huggingface.co/v1/", api_key=os.environ.get("HF_API_KEY")
)
completion = ai_client.completions.create(
model="meta-llama/CodeLlama-70b-hf",
messages=[{"role": "user", "content": "Generate a python script to generate a maze!"}]
)
runloop_client = Runloop()
devbox = runloop_client.devboxes.create() runloop_client.devboxes.write_file(
id=devbox.id,
contents=completion.choices[0].message,
file_path="maze_generator.py"
)
snapshot = runloop_client.devboxes.snapshot_disk(id=devbox.id)
runloop_client.devboxes.create(snapshot_id=snapshot.id)
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Observable Development Environment for AI
Advanced Code Understanding Tools
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