Files
wehub-resource-sync 6b7e6b44f1
Python Build and Type Check / python-ci (ubuntu-latest, 3.11) (push) Has been cancelled
Python Build and Type Check / python-ci (ubuntu-latest, 3.13) (push) Has been cancelled
Python Build and Type Check / python-ci (windows-latest, 3.11) (push) Has been cancelled
Python Build and Type Check / python-ci (windows-latest, 3.13) (push) Has been cancelled
Python Integration Tests / python-ci (ubuntu-latest, 3.13) (push) Has been cancelled
Python Integration Tests / python-ci (windows-latest, 3.13) (push) Has been cancelled
Python Notebook Tests / python-ci (ubuntu-latest, 3.13) (push) Has been cancelled
Python Notebook Tests / python-ci (windows-latest, 3.13) (push) Has been cancelled
Python Smoke Tests / python-ci (ubuntu-latest, 3.13) (push) Has been cancelled
Python Smoke Tests / python-ci (windows-latest, 3.13) (push) Has been cancelled
Python Unit Tests / python-ci (ubuntu-latest, 3.13) (push) Has been cancelled
Python Unit Tests / python-ci (windows-latest, 3.13) (push) Has been cancelled
gh-pages / build (push) Has been cancelled
Python Publish (pypi) / Upload release to PyPI (push) Has been cancelled
Spellcheck / spellcheck (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:37:31 +08:00

116 lines
3.5 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"id": "d75247ed",
"metadata": {},
"source": [
"# Retries\n",
"\n",
"Retries are disabled by default. Retries can be enabled with the following example.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "299065b7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Metrics for: azure/gpt-4o\n",
"{\n",
" \"attempted_request_count\": 1,\n",
" \"successful_response_count\": 1,\n",
" \"failed_response_count\": 0,\n",
" \"failure_rate\": 0.0,\n",
" \"requests_with_retries\": 1,\n",
" \"retries\": 2,\n",
" \"retry_rate\": 0.6666666666666666,\n",
" \"compute_duration_seconds\": 2.6571085453033447,\n",
" \"compute_duration_per_response_seconds\": 2.6571085453033447,\n",
" \"cache_hit_rate\": 0.0,\n",
" \"streaming_responses\": 0,\n",
" \"responses_with_tokens\": 1,\n",
" \"prompt_tokens\": 14,\n",
" \"completion_tokens\": 8,\n",
" \"total_tokens\": 22,\n",
" \"tokens_per_response\": 22.0,\n",
" \"responses_with_cost\": 1,\n",
" \"input_cost\": 3.5000000000000004e-05,\n",
" \"output_cost\": 8e-05,\n",
" \"total_cost\": 0.000115,\n",
" \"cost_per_response\": 0.000115\n",
"}\n"
]
}
],
"source": [
"# Copyright (c) 2024 Microsoft Corporation.\n",
"# Licensed under the MIT License\n",
"\n",
"import json\n",
"import logging\n",
"import os\n",
"\n",
"from dotenv import load_dotenv\n",
"from graphrag_llm.completion import LLMCompletion, create_completion\n",
"from graphrag_llm.config import AuthMethod, ModelConfig, RetryConfig, RetryType\n",
"\n",
"load_dotenv()\n",
"\n",
"logging.basicConfig(level=logging.CRITICAL)\n",
"\n",
"\n",
"api_key = os.getenv(\"GRAPHRAG_API_KEY\")\n",
"model_config = ModelConfig(\n",
" model_provider=\"azure\",\n",
" model=os.getenv(\"GRAPHRAG_MODEL\", \"gpt-4o\"),\n",
" azure_deployment_name=os.getenv(\"GRAPHRAG_MODEL\", \"gpt-4o\"),\n",
" api_base=os.getenv(\"GRAPHRAG_API_BASE\"),\n",
" api_version=os.getenv(\"GRAPHRAG_API_VERSION\", \"2025-04-01-preview\"),\n",
" api_key=api_key,\n",
" auth_method=AuthMethod.AzureManagedIdentity if not api_key else AuthMethod.ApiKey,\n",
" retry=RetryConfig(\n",
" type=RetryType.ExponentialBackoff, max_retries=7, base_delay=2.0, jitter=True\n",
" ),\n",
" # Internal option to test error handling and retries\n",
" failure_rate_for_testing=0.5, # type: ignore\n",
")\n",
"\n",
"llm_completion: LLMCompletion = create_completion(model_config)\n",
"\n",
"response = llm_completion.completion(\n",
" messages=\"What is the capital of France?\",\n",
")\n",
"\n",
"print(f\"Metrics for: {llm_completion.metrics_store.id}\")\n",
"print(json.dumps(llm_completion.metrics_store.get_metrics(), indent=2))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}