Prerequisites (do this before deploying)
0.1 Authenticate to AWS
The deploy needs valid AWS credentials in your shell. If your session has expired you'll see "Your session has expired ... Please reauthenticate".
- AWS IAM Identity Center (SSO):
aws sso login # or: aws sso login --profile <your-profile> - Legacy / custom login wrapper:
aws login
Verify you're authenticated before continuing:
aws sts get-caller-identity
If you use a named profile, export it so radar.py picks it up:
export AWS_PROFILE=<your-profile>
export AWS_REGION=us-east-1
0.2 Python environment
radar.py needs boto3. On externally-managed Python (Homebrew/PEP 668) use a venv:
python3 -m venv .venv
.venv/bin/python -m pip install boto3 "botocore[crt]"
Then run radar with that interpreter, e.g. .venv/bin/python radar.py deploy --dry-run.
0.3 Enable Bedrock model access
The test step (and any real invocation) needs the model enabled in the Bedrock
console for your region: Bedrock > Model access > enable
anthropic.claude-sonnet-4-20250514-v1:0 in us-east-1. This is a one-time manual
grant that the deploy does not perform.
Update Lambda runtime (IMPORTANT) When creating the lambda, use: Runtime: python3.11 Handler: lambda_function.lambda_handler
1.1 Before creating the lambda:
create Create the IAM role
aws iam create-role
--role-name bedrock-lambda-role
--assume-role-policy-document file://trust-policy.json
1.2. Attach Lambda basic logging
aws iam attach-role-policy
--role-name bedrock-lambda-role
--policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
1.3 Attach Bedrock access
aws iam attach-role-policy
--role-name bedrock-lambda-role
--policy-arn arn:aws:iam::aws:policy/AmazonBedrockFullAccess
1.4 Attach S3 access (for logging)
aws iam attach-role-policy
--role-name bedrock-lambda-role
--policy-arn arn:aws:iam::aws:policy/AmazonS3FullAccess
1.5 Get the role ARN (IMPORTANT)
aws iam get-role
--role-name bedrock-lambda-role
--query 'Role.Arn'
--output text
you should get something like that arn:aws:iam::<ACCOUNT_ID>:role/bedrock-lambda-role
starting now let's chcek : aws iam get-role --role-name bedrock-lambda-role --query 'Role.Arn' --output text
When all seccusfully created:
- Create Lambda (again, clean)
- Fix handler issues
- Test invocation
- Add API Gateway
radar.py — these steps as flags
radar.py deploy automates every step above. Each maps to a named step you can
run on its own with --steps or exclude with --skip (see --list-steps):
| readme step | radar step |
|---|---|
| 1.1 create IAM role | role |
| 1.2-1.4 attach policies | policies (or --least-privilege for scoped) |
| create S3 log bucket | bucket |
| Create Lambda + fix handler | function |
| Add API Gateway | api |
| (write config.json) | config |
| Test invocation | test (--test-prompt "...") |
Examples:
python3 radar.py deploy --dry-run # preview every step, no AWS calls
python3 radar.py deploy --list-steps # show steps and what is selected
python3 radar.py deploy --steps role,policies # just the IAM steps
python3 radar.py deploy --skip test # everything except the test
python3 radar.py deploy # full deploy
Metadata
Release files for aws-bedrock-radar 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aws_bedrock_radar-0.1.1.tar.gz | 12.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aws_bedrock_radar-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / aws_bedrock_radar-0.1.1.tar.gz
| Download URL | aws_bedrock_radar-0.1.1.tar.gz |
|---|---|
| Size | 12.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / aws_bedrock_radar-0.1.1-py3-none-any.whl
| Download URL | aws_bedrock_radar-0.1.1-py3-none-any.whl |
|---|---|
| Size | 11.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
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