forked from phoenix/litellm-mirror
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
21 lines
533 B
Python
21 lines
533 B
Python
import openai
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client = openai.OpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000")
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# # request sent to model set on litellm proxy, `litellm --model`
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response = client.embeddings.create(
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model="multimodalembedding@001",
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input=[],
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extra_body={
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"instances": [
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{
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"image": {
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"gcsUri": "gs://cloud-samples-data/vertex-ai/llm/prompts/landmark1.png"
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},
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"text": "this is a unicorn",
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},
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],
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},
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)
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print(response)
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