aws_sdk_bedrock_runtime
aws_sdk_bedrock_runtime client
Decision gist · record as of 2026-08-14
Yes, if you need to invoke Bedrock models from Python and are comfortable with a pre-1.0 API. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Pin the version to avoid unexpected breaking changes, and review the migration guide when upgrading toward 1.0.0.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later; AWS credentials must be configured (via environment variables, config file, or IAM role).
- Low friction installation with pure Python wheels.
- Active development status means the API may change before version 1.0.0, so pin versions carefully if stability is critical.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most production scenarios.
last release 2026-08-13 (1 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 227,870 downloads/mo, #9,164 on PyPI
Alternatives
Verify before relying
pip install aws-sdk-bedrock-runtime
from aws_sdk_bedrock_runtime import BedrockRuntime
client = BedrockRuntime()
response = client.invoke_model(modelId='model-id', body=b'request')- Whether the package is feature-complete for all Bedrock runtime operations or if certain model types or invocation modes are not yet supported.
- Specific breaking changes expected between 0.9.0 and 1.0.0 and their migration path.
- Performance characteristics and rate-limiting behavior when invoking multiple models concurrently.
What it is and what it does
aws_sdk_bedrock_runtime is an official AWS SDK client for Python that wraps the Amazon Bedrock runtime API. It lets you invoke foundation models hosted on Bedrock—such as Claude, Llama, or other providers—directly from Python code without managing the underlying model infrastructure. The package is built on the Smithy framework (smithy-core, smithy-aws-core, smithy-http) and handles request serialization, authentication, and response parsing automatically.
The package is currently in pre-alpha (version 0.9.0) and under active development, meaning the API may change significantly before reaching 1.0.0. It requires Python 3.12 or later and has low installation friction as a pure Python wheel. It is suitable for prototyping, integration into data pipelines, and production use once the API stabilizes, but you should expect to pin versions and review release notes carefully during the pre-1.0 phase.
Use it for
- Build Python applications that invoke AWS foundation models (Claude, Llama, etc.) for text generation, summarization, or analysis.
- Integrate Bedrock model inference into data processing pipelines or batch jobs without managing model infrastructure.
- Prototype and test generative AI features in development before deploying to production.
- Create chatbots or conversational agents that delegate inference to managed Bedrock models.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to invoke Bedrock models from Python and are comfortable with a pre-1.0 API.
The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Pin the version to avoid unexpected breaking changes, and review the migration guide when upgrading toward 1.0.0.
Install
aws-sdk-bedrock-runtime on PyPI
Before you install
Low friction installation with pure Python wheels. Active development status means the API may change before version 1.0.0, so pin versions carefully if stability is critical.
Requires Python 3.12 or later; AWS credentials must be configured (via environment variables, config file, or IAM role).
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most production scenarios.
Quickstart
pip install aws-sdk-bedrock-runtime
from aws_sdk_bedrock_runtime import BedrockRuntime
client = BedrockRuntime()
response = client.invoke_model(modelId='model-id', body=b'request')Verify before relying
- Whether the package is feature-complete for all Bedrock runtime operations or if certain model types or invocation modes are not yet supported.
- Specific breaking changes expected between 0.9.0 and 1.0.0 and their migration path.
- Performance characteristics and rate-limiting behavior when invoking multiple models concurrently.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagessmithy-aws-coresmithy-coresmithy-http |
| Maintenance | Actively maintained 1 days since the last release |
| First released | |
| Downloads | 227,870 / month, #9,164 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 2 - Pre-AlphaIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: aws_sdk_bedrock_runtime-0.9.0-py3-none-any.whl
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See also agent-framework-bedrock · bedrock-agentcore-starter-toolkit · smithy-aws-core · openinference-instrumentation-bedrock · awslabs.bedrock-kb-retrieval-mcp-server · llama-index-embeddings-bedrock · bedrock-agentcore · aws_sdk_transcribe_streaming · smithy-core · smithy-json