# API Reference — Agentic AI Tool Invocation Controls ## NVIDIA NeMo Guardrails Install: `pip install nemoguardrails` | API | Description | |-----|-------------| | `RailsConfig.from_path("./guardrails_config")` | Load rails config (config.yml, prompts.yml, *.co flows) | | `RailsConfig.from_content(yaml_content=..., colang_content=...)` | Load config inline | | `LLMRails(config)` | Build a guarded LLM wrapper | | `rails.generate(messages=[...])` | Run input/output/tool rails around generation | | `rails.register_action(fn, name=...)` | Register a custom tool/action under rail control | Built-in flows: `self check input`, `self check output`, `self check facts`. Rail types: `input`, `output`, `dialog`, `retrieval`, `execution/tool`. ## jsonschema Install: `pip install jsonschema` | API | Description | |-----|-------------| | `validate(instance=args, schema=schema)` | Raise `ValidationError` if args violate schema | | `additionalProperties: false` | Deny-by-default extra arguments | | `pattern` / `maxLength` / `enum` | Constrain argument values (e.g. recipient domain allowlist) | ## AWS STS (boto3) — scoped identity Install: `pip install boto3` | API | Description | |-----|-------------| | `sts.assume_role(RoleArn, RoleSessionName, Policy, DurationSeconds)` | Assume a role with an inline session policy that *further restricts* permissions | | `DurationSeconds=900` | Short-lived (15 min) credentials, least privilege | | `boto3.Session(aws_access_key_id=..., aws_session_token=...)` | Use the scoped creds for the tool call | ## Policy decision contract | Decision | Meaning | Action | |----------|---------|--------| | `allow` | Allowlisted, args valid, low impact | Execute tool | | `require_approval` | High-impact tool | Route to human-in-the-loop, fail-closed | | `deny` | Unknown tool or invalid args | Reject and log | ## External References - NeMo Guardrails docs: https://docs.nvidia.com/nemo/guardrails/ - jsonschema docs: https://python-jsonschema.readthedocs.io/ - OWASP Agentic AI Top 10: https://genai.owasp.org/resource/agentic-ai-threats-and-mitigations/