litellm/cookbook/litellm_proxy_server/batch_api/bedrock/bedrock.py
devin-ai-integration[bot] 837c6a7481
fix(security): remove the publicly known master key from the repo (#44718)
* fix(security): hash the publicly known master key

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* docs: replace weak master key examples and regenerate artifacts

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test: replace weak key fixtures with generated test keys

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: generate master keys for proxy startup

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: preserve lens dev key entropy

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: restore proxy key compatibility in scrub examples

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: scrub merged SSO fixture and refresh dashboard bundle

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(ci): stabilize test keys and metadata collection

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* chore: drop the rebuilt dashboard bundle

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-10-06 10:55:24 -07:00

27 lines
655 B
Python

import os
from openai import OpenAI
client = OpenAI(
base_url="http://0.0.0.0:4000",
api_key=os.environ["LITELLM_MASTER_KEY"],
)
BEDROCK_BATCH_MODEL = "bedrock/batch-anthropic.claude-3-5-sonnet-20240620-v1:0"
# Upload file
batch_input_file = client.files.create(
file=open("./bedrock_batch_completions.jsonl", "rb"),
purpose="batch",
extra_body={"target_model_names": BEDROCK_BATCH_MODEL},
)
print(batch_input_file)
# Create batch
batch = client.batches.create(
input_file_id=batch_input_file.id,
endpoint="/v1/chat/completions",
completion_window="24h",
metadata={"description": "Test batch job"},
)
print(batch)