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cubesGL SDK Package Installation

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What is the GL SDK Package?

The GL SDK package is a meta package for GenAI, GL Connectors, GL Observability and many more. It acts as a centralized installer for the entire GL SDK family.

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Installation

# you can use a Conda environment
pip install --extra-index-url https://oauth2accesstoken:$(gcloud auth print-access-token)@glsdk.gdplabs.id/gen-ai-internal/simple/ "gl-sdk"
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If you want to try the snippet code in this page:

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Using a Library in GL SDK

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Create a script called main.py:

import asyncio
from gllm_inference.lm_invoker import OpenAILMInvoker
from gllm_inference.model import OpenAILM

lm_invoker = OpenAILMInvoker(OpenAILM.GPT_5_NANO)
response = asyncio.run(lm_invoker.invoke("What is the capital city of Indonesia?"))
print(f"Response: {response}")
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Run the script:

python main.py
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The script will generate the following output (more or less):

[2025-09-17T15:12:36+0700.389 OpenAILMInvoker INFO] Invoking 'OpenAILMInvoker'
[2025-09-17T15:12:42+0700.907 httpx INFO] HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
Response: Jakarta. (Note: Indonesia has been planning to move its administrative capital to Nusantara in East Kalimantan, but Jakarta remains the capital for now.)

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Extras

By default, if you install GL SDK you will get gllm-core and gllm-inference.

To keep the installation lean, GL SDK provides several extras. So you don't have to install libraries you don't need:

  1. genai = gllm-privacy, gllm-datastore, gllm-misc, gllm-docproc, gllm-retrieval, gllm-generation, gllm-pipeline, gllm-rag

  2. agent = gllm-agent, gllm-agents

  3. gl-connectors = gl-connectors

  4. gl-observability = gl-observability

  5. eval = gllm-evals

You can install the extras as follows:

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