mirror of
https://github.com/tiennm99/litellm.git
synced 2026-07-06 07:08:05 +00:00
Krish Dholakia
d57be47b0f
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
import openai
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import httpx
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import os
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from dotenv import load_dotenv
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load_dotenv()
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client = openai.OpenAI(
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api_key="anything",
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base_url="http://0.0.0.0:8000",
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http_client=httpx.Client(verify=False),
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)
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try:
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# request sent to model set on litellm proxy, `litellm --model`
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response = client.chat.completions.create(
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model="azure-gpt-3.5",
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messages=[
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{
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"role": "user",
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"content": "this is a test request, write a short poem" * 2000,
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}
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],
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)
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print(response)
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except Exception as e:
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print(e)
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variables_proxy_exception = vars(e)
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print("proxy exception variables", variables_proxy_exception.keys())
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print(variables_proxy_exception["body"])
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api_key = os.getenv("AZURE_API_KEY")
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azure_endpoint = os.getenv("AZURE_API_BASE")
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print(api_key, azure_endpoint)
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client = openai.AzureOpenAI(
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api_key=os.getenv("AZURE_API_KEY"),
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azure_endpoint=os.getenv("AZURE_API_BASE", "default"),
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)
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try:
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response = client.chat.completions.create(
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model="chatgpt-v-2",
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messages=[
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{
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"role": "user",
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"content": "this is a test request, write a short poem" * 2000,
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}
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],
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)
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except Exception as e:
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print(e)
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variables_exception = vars(e)
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print("openai client exception variables", variables_exception.keys())
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