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Switch base endpoint to github.ai
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‎cookbooks/python/langchain/lc_openai_getting_started.ipynb

Lines changed: 3 additions & 3 deletions
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@@ -50,9 +50,9 @@
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" raise ValueError(\"GITHUB_TOKEN is not set\")\n",
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"\n",
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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.inference.ai.azure.com/\"\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.github.ai/inference\"\n",
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"\n",
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"GPT_MODEL = \"gpt-4o-mini\"\n",
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"GPT_MODEL = \"openai/gpt-4o-mini\"\n",
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"\n",
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"llm = ChatOpenAI(model=GPT_MODEL)"
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]
@@ -359,7 +359,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "gh-cookbook",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},

‎cookbooks/python/llamaindex/rag_getting_started.ipynb

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@@ -244,7 +244,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "gh-cookbook",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},

‎cookbooks/python/mistralai/evaluation.ipynb

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@@ -33,8 +33,8 @@
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"github_token = os.environ[\"GITHUB_TOKEN\"]\n",
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"\n",
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"# We can use some defaults for the other two variables\n",
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"endpoint = \"https://models.inference.ai.azure.com\"\n",
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"model_name = \"mistral-large\""
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"endpoint = \"https://models.github.ai/inference\"\n",
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"model_name = \"mistral-ai/mistral-large\""
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]
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},
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{
@@ -100,7 +100,7 @@
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"from mistralai.models.chat_completion import ChatMessage\n",
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"\n",
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"\n",
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"def run_mistral(user_message, model=\"mistral-small\"):\n",
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"def run_mistral(user_message, model=\"mistral-ai/mistral-small\"):\n",
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" client = MistralClient(api_key=github_token, endpoint=endpoint)\n",
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" messages = [ChatMessage(role=\"user\", content=user_message)]\n",
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" chat_response = client.chat(\n",
@@ -225,7 +225,7 @@
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"from mistralai.models.chat_completion import ChatMessage\n",
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"\n",
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"\n",
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"def run_mistral(user_message, model=\"mistral-small\"):\n",
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"def run_mistral(user_message, model=\"mistral-ai/mistral-small\"):\n",
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" client = MistralClient(api_key=github_token, endpoint=endpoint)\n",
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" messages = [ChatMessage(role=\"user\", content=user_message)]\n",
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" chat_response = client.chat(model=model, messages=messages)\n",
@@ -379,7 +379,7 @@
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"from mistralai.models.chat_completion import ChatMessage\n",
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"\n",
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"\n",
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"def run_mistral(user_message, model=\"mistral-small\", is_json=False):\n",
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"def run_mistral(user_message, model=\"mistral-ai/mistral-small\", is_json=False):\n",
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" client = MistralClient(api_key=github_token, endpoint=endpoint)\n",
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" messages = [ChatMessage(role=\"user\", content=user_message)]\n",
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"\n",
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" scoring_prompt.format(\n",
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" news=news, summary=summary, metric=i[\"metric\"], rubrics=i[\"rubrics\"]\n",
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" ),\n",
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" model=\"mistral-small\",\n",
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" model=\"mistral-ai/mistral-small\",\n",
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" is_json=True,\n",
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" )\n",
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" print(eval_output)"
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},

‎cookbooks/python/mistralai/function_calling.ipynb

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"github_token = os.environ[\"GITHUB_TOKEN\"]\n",
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"\n",
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"# We can use some defaults for the other two variables\n",
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"endpoint = \"https://models.inference.ai.azure.com\"\n",
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"model_name = \"mistral-large\"\n",
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"endpoint = \"https://models.github.ai/inference\"\n",
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"model_name = \"mistral-ai/mistral-small\"\n",
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"\n",
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"\n",
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"# Assuming we have the following data\n",
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"source": [
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"from mistralai.client import MistralClient\n",
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"\n",
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"model = \"mistral-large\"\n",
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"model = \"mistral-ai/mistral-small\"\n",
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"\n",
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"client = MistralClient(api_key=github_token, endpoint=endpoint)\n",
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"\n",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},

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