OpenAI-Compatible API
Compile Labs provides full compatibility with the OpenAI API, making it easy to use any OpenAI-compatible model through our unified interface.
Chat Completions
curl https://api.compilelabs.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5",
"messages": [
{"role": "user", "content": "Hello, how are you?"}
],
"temperature": 0.7,
"max_tokens": 100
}'
Streaming Responses
curl https://api.compilelabs.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5",
"messages": [
{"role": "user", "content": "Tell me a story"}
],
"stream": true
}'
Using OpenAI Python SDK
import openai
client = openai.OpenAI(
api_key = "YOUR_API_KEY" ,
base_url = "https://api.compilelabs.com/v1"
)
response = client.chat.completions.create(
model = "openai/gpt-5" ,
messages = [
{ "role" : "user" , "content" : "Explain quantum computing" }
]
)
print (response.choices[ 0 ].message.content)
Streaming with Python SDK
import openai
client = openai.OpenAI(
api_key = "YOUR_API_KEY" ,
base_url = "https://api.compilelabs.com/v1"
)
stream = client.chat.completions.create(
model = "openai/gpt-5" ,
messages = [
{ "role" : "user" , "content" : "Tell me a story" }
],
stream = True
)
for chunk in stream:
if chunk.choices[ 0 ].delta.content:
print (chunk.choices[ 0 ].delta.content, end = "" )
System Prompts
response = client.chat.completions.create(
model = "openai/gpt-5" ,
messages = [
{ "role" : "system" , "content" : "You are a helpful coding assistant." },
{ "role" : "user" , "content" : "Write a Python function to calculate fibonacci numbers" }
],
temperature = 0.7 ,
max_tokens = 500
)
Multi-Turn Conversations
messages = [
{ "role" : "system" , "content" : "You are a helpful assistant." },
{ "role" : "user" , "content" : "What is the capital of France?" },
{ "role" : "assistant" , "content" : "The capital of France is Paris." },
{ "role" : "user" , "content" : "What is its population?" }
]
response = client.chat.completions.create(
model = "openai/gpt-5" ,
messages = messages
)
print (response.choices[ 0 ].message.content)
Using Different Models
Compile Labs supports multiple OpenAI-compatible models:
# OpenAI models
gpt_response = client.chat.completions.create(
model = "openai/gpt-5" ,
messages = [{ "role" : "user" , "content" : "Hello!" }]
)
# Meta models
llama_response = client.chat.completions.create(
model = "moonshotai/kimi-k2-0905" ,
messages = [{ "role" : "user" , "content" : "Hello!" }]
)
# DeepSeek models
deepseek_response = client.chat.completions.create(
model = "deepseek/deepseek-v3" ,
messages = [{ "role" : "user" , "content" : "Hello!" }]
)
List Available Models
curl "https://api.compilelabs.com/v1/models?type=text_to_text" \
-H "Authorization: Bearer YOUR_API_KEY"
SDK Compatibility
Compile Labs is compatible with:
OpenAI SDK (openai Python package)
Any OpenAI-compatible library (LlamaIndex, LangChain, etc.)
Use your existing OpenAI SDK code with Compile Labs - just change the base_url to https://api.compilelabs.com/v1 and you’re ready to go!
Next Steps
Image Generation Generate images with AI models
Chat Completions Deep dive into chat functionality
API Reference Browse complete API documentation