Add content safety guardrail hosted-agent sample (16-content-safety-guardrail)#772
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Add a new Agent Framework / Responses hosted-agent sample that attaches a Responsible AI content safety guardrail via a definition-level policies block (type: rai_policy, rai_policy_name = full ARM resource ID). Includes a README covering prerequisites, azd and VS Code deploy paths, and runtime verification (benign prompt returns 200, a blocked prompt returns 400 content_filter). Add a learning-path entry to the hosted-agents catalog README. Verified end-to-end with azd deploy: the deployed agent reaches active with the rai_config persisted, and a harmful prompt is blocked at the input stage. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Summary
Adds a new azd-deployable hosted-agent sample,
16-content-safety-guardrail, demonstrating how to attach a Responsible AI content safety guardrail (rai_config/policieswithrai_policy_name) to a hosted agent so the platform screens prompts and responses against a safety policy.What's included
samples/python/hosted-agents/agent-framework/responses/16-content-safety-guardrail/(derived from01-basic):agent.yamlwith a top-levelpolicies:block (RAI policy ARM ID placeholder)agent.manifest.yamlwith thepolicies:block undertemplate:README.md(prerequisites, azd + VS Code deploy, runtime verification)main.py,Dockerfile,requirements.txt,.env.example,.azdignore,.dockerignoresamples/python/hosted-agents/README.md.Validation
LoadAndValidateAgentManifest+ExtractAgentDefinition).rai_configpersisted; benign prompt -> HTTP 200, harmful prompt -> HTTP 400content_filter.Diff scope
Only the 10 new sample files + 1 catalog README line. No unrelated/infra changes.