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LlamaIndex

LlamaIndex has native support for Apertis through the llama-index-llms-apertis package.

Installation

pip install llama-index-llms-apertis llama-index

Basic Setup

from llama_index.llms.apertis import Apertis
from llama_index.core.llms import ChatMessage

# Configure with your API key from https://apertis.ai/token
llm = Apertis(
api_key="sk-your-api-key",
model="gpt-5.2",
max_tokens=256,
context_window=4096,
)

Chat API

message = ChatMessage(role="user", content="Tell me a joke")
resp = llm.chat([message])
print(resp)

Streaming Chat

message = ChatMessage(role="user", content="Tell me a story in 250 words")
resp = llm.stream_chat([message])
for r in resp:
print(r.delta, end="")

Completion API

resp = llm.complete("Tell me a joke")
print(resp)

Streaming Completion

resp = llm.stream_complete("Tell me a story in 250 words")
for r in resp:
print(r.delta, end="")

Using Different Models

Access 400+ models through Apertis:

# OpenAI GPT
llm = Apertis(model="gpt-5.2")

# Anthropic Claude
llm = Apertis(model="claude-sonnet-4.5")

# Google Gemini
llm = Apertis(model="gemini-3-flash-preview")

Supported Models

ProviderModel ID
OpenAIgpt-5.2, gpt-4.1-mini
Anthropicclaude-sonnet-4.5, claude-haiku-4.5
Googlegemini-3-pro-preview, gemini-3-flash-preview

For the full list of models, visit Apertis Models.