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Merge pull request #14 from madebygps/update-model-gpt-4.1-mini
Switch default model from gpt-5-mini to gpt-4.1-mini
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‎.env.sample‎

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@@ -7,7 +7,7 @@ AZURE_OPENAI_CHAT_DEPLOYMENT=YOUR-AZURE-DEPLOYMENT-NAME
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OPENAI_API_KEY=YOUR-OPENAI-KEY
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OPENAI_MODEL=gpt-3.5-turbo
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# Configure for GitHub models: (GITHUB_TOKEN already exists inside Codespaces)
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GITHUB_MODEL=gpt-5-mini
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GITHUB_MODEL=gpt-4.1-mini
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GITHUB_TOKEN=YOUR-GITHUB-PERSONAL-ACCESS-TOKEN
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# Configure for Redis (used by agent_history_redis.py, defaults to dev container Redis):
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REDIS_URL=redis://localhost:6379

‎README.md‎

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export GITHUB_TOKEN=your_personal_access_token
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```
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10. Optionally, you can use a model other than "gpt-5-mini" by setting the `GITHUB_MODEL` environment variable. Use a model that supports function calling, such as: `gpt-5`, `gpt-5-mini`, `gpt-4o`, `gpt-4o-mini`, `o3-mini`, `AI21-Jamba-1.5-Large`, `AI21-Jamba-1.5-Mini`, `Codestral-2501`, `Cohere-command-r`, `Ministral-3B`, `Mistral-Large-2411`, `Mistral-Nemo`, `Mistral-small`
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10. Optionally, you can use a model other than "gpt-4.1-mini" by setting the `GITHUB_MODEL` environment variable. Use a model that supports function calling, such as: `gpt-5`, `gpt-4.1-mini`, `gpt-4o`, `gpt-4o-mini`, `o3-mini`, `AI21-Jamba-1.5-Large`, `AI21-Jamba-1.5-Mini`, `Codestral-2501`, `Cohere-command-r`, `Ministral-3B`, `Mistral-Large-2411`, `Mistral-Nemo`, `Mistral-small`
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## Using Azure AI Foundry models
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You can run all examples in this repository using GitHub Models. If you want to run the examples using models from Azure AI Foundry instead, you need to provision the Azure AI resources, which will incur costs.
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This project includes infrastructure as code (IaC) to provision Azure OpenAI deployments of "gpt-5-mini" and "text-embedding-3-large" via Azure AI Foundry. The IaC is defined in the `infra` directory and uses the Azure Developer CLI to provision the resources.
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This project includes infrastructure as code (IaC) to provision Azure OpenAI deployments of "gpt-4.1-mini" and "text-embedding-3-large" via Azure AI Foundry. The IaC is defined in the `infra` directory and uses the Azure Developer CLI to provision the resources.
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1. Make sure the [Azure Developer CLI (azd)](https://aka.ms/install-azd) is installed.
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‎examples/agent_basic.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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agent = Agent(client=client, instructions="You're an informational agent. Answer questions cheerfully.")

‎examples/agent_evaluation.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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eval_model_config = OpenAIModelConfiguration(
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type="openai",
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model="openai/gpt-5-mini",
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model="openai/gpt-4.1-mini",
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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eval_model_config = OpenAIModelConfiguration(
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type="openai",
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api_key=os.environ["OPENAI_API_KEY"],
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model=os.environ.get("OPENAI_MODEL", "gpt-5-mini"),
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model=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini"),
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)
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‎examples/agent_evaluation_batch.py‎

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type="openai",
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model="openai/gpt-5-mini",
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model="openai/gpt-4.1-mini",
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)
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else:
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model_config = OpenAIModelConfiguration(
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type="openai",
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api_key=os.environ["OPENAI_API_KEY"],
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model=os.environ.get("OPENAI_MODEL", "gpt-5-mini"),
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model=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini"),
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)
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# Optional: Set AZURE_AI_PROJECT in .env to log results to Azure AI Foundry.

‎examples/agent_evaluation_generate.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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‎examples/agent_history_redis.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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‎examples/agent_history_sqlite.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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‎examples/agent_knowledge_aisearch.py‎

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client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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else:
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client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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# ── Azure AI Search context provider ─────────────────────────────────

‎examples/agent_knowledge_pg.py‎

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chat_client = OpenAIChatClient(
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base_url="https://models.github.ai/inference",
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api_key=os.environ["GITHUB_TOKEN"],
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-5-mini"),
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model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4.1-mini"),
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)
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embed_client = OpenAI(
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base_url="https://models.github.ai/inference",
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embed_model = "text-embedding-3-small"
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else:
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chat_client = OpenAIChatClient(
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-5-mini")
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api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4.1-mini")
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)
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embed_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
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embed_model = "text-embedding-3-small"

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