Repository navigation

Smoke Pydantic AI #453

Workflow file for this run

.github/workflows/smoke-pydantic.lock.yml at 8dfdef5

	# gh-aw-metadata: {"schema_version":"v4","frontmatter_hash":"f840ae0748a19e19aff14c1163aadcc748c669111a9051cd903512bdab16cd58","body_hash":"e5fed55f43b1e9f4af8fa910958a3a43453be0f8f0c5250280264d9e28054509","strict":true,"agent_id":"pydantic-ai","agent_model":"copilot/auto","engine_versions":{"pydantic-ai":"0.35.0"}}
	# gh-aw-manifest: {"version":1,"secrets":["COPILOT_GITHUB_TOKEN","GH_AW_DEFAULT_OTLP_ENDPOINT","GH_AW_DEFAULT_OTLP_HEADERS","GH_AW_GITHUB_MCP_SERVER_TOKEN","GH_AW_GITHUB_TOKEN","GITHUB_TOKEN"],"actions":[{"repo":"actions/checkout","sha":"3d3c42e5aac5ba805825da76410c181273ba90b1","version":"v7.0.1"},{"repo":"actions/download-artifact","sha":"9000827ccba6bdab643e8b6fd33ac0654aef8333","version":"v8.0.2"},{"repo":"actions/github-script","sha":"3a2844b7e9c422d3c10d287c895573f7108da1b3","version":"v9.0.0"},{"repo":"actions/setup-node","sha":"949feb2413d6458794dcd2491c4babbbce0c15c1","version":"v7.1.0"},{"repo":"actions/setup-python","sha":"5fda3b95a4ea91299a34e894583c3862153e4b97","version":"v7.0.0"},{"repo":"actions/upload-artifact","sha":"cf430e030ddbb5b0abf93d22962f4752f3646cd9","version":"v7.0.2"}],"containers":[{"image":"ghcr.io/github/gh-aw-firewall/agent:0.28.50","digest":"sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620","pinned_image":"ghcr.io/github/gh-aw-firewall/agent:0.28.50@sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620"},{"image":"ghcr.io/github/gh-aw-firewall/api-proxy:0.28.50","digest":"sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965","pinned_image":"ghcr.io/github/gh-aw-firewall/api-proxy:0.28.50@sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965"},{"image":"ghcr.io/github/gh-aw-firewall/squid:0.28.50","digest":"sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9","pinned_image":"ghcr.io/github/gh-aw-firewall/squid:0.28.50@sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9"},{"image":"ghcr.io/github/gh-aw-mcpg:v0.4.30","digest":"sha256:ab5a436a1490438db473e4e3d4c973cb1d75e3cb233fb08b73d31b42d7d18fba","pinned_image":"ghcr.io/github/gh-aw-mcpg:v0.4.30@sha256:ab5a436a1490438db473e4e3d4c973cb1d75e3cb233fb08b73d31b42d7d18fba"},{"image":"ghcr.io/github/gh-aw-node","digest":"sha256:11c2c544876cdbaffefe0f7f1283b74838c209654b4934a78e23ed11f750490f","pinned_image":"ghcr.io/github/gh-aw-node@sha256:11c2c544876cdbaffefe0f7f1283b74838c209654b4934a78e23ed11f750490f"},{"image":"ghcr.io/github/github-mcp-server:v1.12.2","digest":"sha256:508a0857ec762b1ab1cece29193345b501fab1dd9d1228a7b617062954cecac6","pinned_image":"ghcr.io/github/github-mcp-server:v1.12.2@sha256:508a0857ec762b1ab1cece29193345b501fab1dd9d1228a7b617062954cecac6"}],"has_pull_request":true,"mcp_servers":[{"name":"github","tools":["get_commit","get_file_contents","get_latest_release","get_me","get_pull_request","get_pull_request_comments","get_pull_request_diff","get_pull_request_files","get_pull_request_review_comments","get_pull_request_reviews","get_pull_request_status","get_release_by_tag","get_tag","issue_read","list_branches","list_commits","list_issue_types","list_issues","list_pull_requests","list_releases","list_starred_repositories","list_tags","pull_request_read","search_code","search_issues","search_pull_requests","search_repositories"]},{"name":"safeoutputs","tools":["add_comment","add_labels","create_issue","missing_data","missing_tool","noop","report_incomplete"]}],"threat_detection":{"mode":"enabled"}}
	# This file was automatically generated by gh-aw. DO NOT EDIT. To debug this workflow, load the skill at https://github.com/github/gh-aw/blob/main/debug.md
	#
	# ___ _ _
	# / _ \ \| \| (_)
	# \| \|_\| \| __ _ ___ _ __ \| \|_ _ ___
	# \| _ \|/ _` \|/ _ \ '_ \\| __\| \|/ __\|
	# \| \| \| \| (_\| \| __/ \| \| \| \|_\| \| (__
	# \_\| \|_/\__, \|\___\|_\| \|_\|\__\|_\|\___\|
	# __/ \|
	# _ _ \|___/
	# \| \| \| \| / _\| \|
	# \| \| \| \| ___ _ __ _ __\| \|_\| \| _____ ____
	# \| \|/\\| \|/ _ \ '__\| \|/ /\| _\| \|/ _ \ \ /\ / / ___\|
	# \ /\ / (_) \| \| \| \| ( \| \| \| \| (_) \ V V /\__ \
	# \/ \/ \___/\|_\| \|_\|\_\\|_\| \|_\|\___/ \_/\_/ \|___/
	#
	#
	# To update this file, edit the corresponding .md file and run:
	# gh aw compile
	# Not all edits will cause changes to this file.
	#
	# For more information: https://github.github.com/gh-aw/introduction/overview/
	#
	# Smoke test workflow that validates Pydantic AI engine functionality
	#
	# Resolved workflow manifest:
	# Imports:
	# - pydantic/pydantic-ai/src/pydantic_ai_harness/gh-aw/pydantic.md@319d72ccf220427e59b9f4e61f17d7be52c90d68
	# - shared/smoke-test-brevity.md
	# - shared/reporting.md
	#
	# Secrets used:
	# - COPILOT_GITHUB_TOKEN
	# - GH_AW_DEFAULT_OTLP_ENDPOINT
	# - GH_AW_DEFAULT_OTLP_HEADERS
	# - GH_AW_GITHUB_MCP_SERVER_TOKEN
	# - GH_AW_GITHUB_TOKEN
	# - GITHUB_TOKEN
	#
	# Custom actions used:
	# - actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	# - actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	# - actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	# - actions/setup-node@949feb2413d6458794dcd2491c4babbbce0c15c1 # v7.1.0
	# - actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
	# - actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	#
	# Container images used:
	# - ghcr.io/github/gh-aw-firewall/agent:0.28.50@sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620
	# - ghcr.io/github/gh-aw-firewall/api-proxy:0.28.50@sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965
	# - ghcr.io/github/gh-aw-firewall/squid:0.28.50@sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9
	# - ghcr.io/github/gh-aw-mcpg:v0.4.30@sha256:ab5a436a1490438db473e4e3d4c973cb1d75e3cb233fb08b73d31b42d7d18fba
	# - ghcr.io/github/gh-aw-node@sha256:11c2c544876cdbaffefe0f7f1283b74838c209654b4934a78e23ed11f750490f
	# - ghcr.io/github/github-mcp-server:v1.12.2@sha256:508a0857ec762b1ab1cece29193345b501fab1dd9d1228a7b617062954cecac6

	name: "Smoke Pydantic AI"
	on:
	pull_request:
	# names: # Label filtering applied via job conditions
	# - water # Label filtering applied via job conditions
	types:
	- labeled
	schedule:
	- cron: "0 0 /2 *"
	workflow_dispatch:
	inputs:
	aw_context:
	default: ""
	description: "Agent caller context (Reserved for Agentic Workflows)."
	required: false
	type: string

	# Jobs receive only their explicitly declared permissions.
	permissions: {}

	concurrency:
	group: "gh-aw-${{ github.workflow }}-${{ github.event.issue.number \|\| github.event.pull_request.number \|\| github.run_id }}-${{ github.event_name == 'pull_request' && 'pull_request' \|\| 'command' }}"
	cancel-in-progress: ${{ github.event_name == 'pull_request' }}

	run-name: "Smoke Pydantic AI"

	env:
	OTEL_EXPORTER_OTLP_ENDPOINT: ${{ secrets.GH_AW_DEFAULT_OTLP_ENDPOINT \|\| vars.GH_AW_DEFAULT_OTLP_ENDPOINT }}
	OTEL_SERVICE_NAME: gh-aw.smoke-pydantic
	OTEL_RESOURCE_ATTRIBUTES: 'gh-aw.workflow.name=Smoke%20Pydantic%20AI,gh-aw.repository=${{ github.repository }},gh-aw.run.id=${{ github.run_id }},github.run_id=${{ github.run_id }},gh-aw.engine.id=pydantic-ai'
	OTEL_EXPORTER_OTLP_HEADERS: ${{ secrets.GH_AW_DEFAULT_OTLP_HEADERS }}
	GH_AW_OTLP_ENDPOINTS: '[{"url":"${{ secrets.GH_AW_DEFAULT_OTLP_ENDPOINT \|\| vars.GH_AW_DEFAULT_OTLP_ENDPOINT }}","headers":"${{ secrets.GH_AW_DEFAULT_OTLP_HEADERS }}"}]'
	GH_AW_OTLP_IF_MISSING: ignore

	jobs:
	activation:
	name: activation
	needs: pre_activation
	if: >
	needs.pre_activation.outputs.activated == 'true' && (((github.event_name != 'pull_request' \|\| github.event.pull_request.head.repo.id == github.repository_id) &&
	((github.event_name != 'pull_request' && github.event_name != 'pull_request_review') \|\| github.event.pull_request.stack == null \|\|
	github.event.pull_request.stack.position == github.event.pull_request.stack.size)) && (github.event_name != 'pull_request' \|\|
	github.event.action != 'labeled' \|\| github.event.label.name == 'water'))
	runs-on: ubuntu-slim
	# Permissions for the activation job (workflow permissions default to none).
	permissions:
	actions: read
	contents: read
	issues: write
	pull-requests: write
	env:
	GH_AW_MAX_DAILY_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_MAX_DAILY_AI_CREDITS \|\| '5000' }}
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	outputs:
	aw_context: ${{ steps.generate_aw_info.outputs.aw_context }}
	body: ${{ steps.sanitized.outputs.body }}
	comment_id: ${{ steps.add-comment.outputs.comment-id }}
	comment_repo: ${{ steps.add-comment.outputs.comment-repo }}
	comment_url: ${{ steps.add-comment.outputs.comment-url }}
	daily_ai_credits_estimated: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_estimated \|\| '' }}
	daily_ai_credits_exceeded: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_exceeded == 'true' }}
	daily_ai_credits_guardrail_error: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_guardrail_error \|\| '' }}
	daily_ai_credits_guardrail_status: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_guardrail_status \|\| '' }}
	daily_ai_credits_threshold: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_threshold \|\| '' }}
	daily_ai_credits_total: ${{ steps.daily-ai-credits-workflow-guardrail.outputs.daily_ai_credits_total \|\| '' }}
	engine_id: ${{ steps.generate_aw_info.outputs.engine_id }}
	lockdown_check_failed: ${{ steps.generate_aw_info.outputs.lockdown_check_failed == 'true' }}
	model: ${{ steps.generate_aw_info.outputs.model }}
	oauth_token_check_failed: ${{ steps.check-oauth-tokens.outputs.oauth_token_check_failed == 'true' }}
	setup-parent-span-id: ${{ steps.setup.outputs.parent-span-id \|\| steps.setup.outputs.span-id }}
	setup-span-id: ${{ steps.setup.outputs.span-id }}
	setup-trace-id: ${{ steps.setup.outputs.trace-id }}
	slash_command: ${{ needs.pre_activation.outputs.matched_command }}
	stale_lock_file_failed: ${{ steps.check-lock-file.outputs.stale_lock_file_failed == 'true' }}
	text: ${{ steps.sanitized.outputs.text }}
	title: ${{ steps.sanitized.outputs.title }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	trace-id: ${{ needs.pre_activation.outputs.setup-trace-id }}
	parent-span-id: ${{ needs.pre_activation.outputs.setup-parent-span-id \|\| needs.pre_activation.outputs.setup-span-id }}
	safe-output-artifact-client: ${{ env.GH_AW_MAX_DAILY_AI_CREDITS != '' }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Mask OTLP telemetry headers
	run: bash "${RUNNER_TEMP}/gh-aw/actions/mask_otlp_headers.sh"
	- name: Generate agentic run info
	id: generate_aw_info
	env:
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_INFO_ENGINE_NAME: "Pydantic AI"
	GH_AW_INFO_MODEL: "copilot/auto"
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_AGENT_VERSION: "0.35.0"
	GH_AW_INFO_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_INFO_EXPERIMENTAL: "false"
	GH_AW_INFO_SUPPORTS_TOOLS_ALLOWLIST: "false"
	GH_AW_INFO_STAGED: "false"
	GH_AW_INFO_ALLOWED_DOMAINS: '[]'
	GH_AW_INFO_FIREWALL_ENABLED: "false"
	GH_AW_INFO_AWF_VERSION: ""
	GH_AW_INFO_AWMG_VERSION: ""
	GH_AW_INFO_FIREWALL_TYPE: "squid"
	GH_AW_INFO_AGENT_RUNTIME: ""
	GH_AW_INFO_FRONTMATTER_EMOJI: "🐍"
	GH_AW_COMPILED_STRICT: "true"
	GH_AW_INFO_FEATURES: '{"gh-aw-detection":false}'
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'generate_aw_info.cjs'));
	await main(core, context);
	- name: Restore daily AIC scan observations
	id: restore-daily-aic-cache-fallback
	if: ${{ env.GH_AW_MAX_DAILY_AI_CREDITS != '' }}
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_HAS_SLASH_COMMAND: "true"
	GH_AW_HAS_LABEL_COMMAND: "false"
	with:
	github-token: ${{ secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'restore_aic_scan_cache.cjs'));
	await main();
	- name: Check daily workflow token guardrail
	id: daily-ai-credits-workflow-guardrail
	if: ${{ env.GH_AW_MAX_DAILY_AI_CREDITS != '' }}
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_ID: "smoke-pydantic"
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_WORKFLOW_DISPATCH_AW_CONTEXT: ${{ github.event.inputs.aw_context \|\| '' }}
	GH_AW_HAS_SLASH_COMMAND: "true"
	GH_AW_HAS_LABEL_COMMAND: "false"
	GH_AW_GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	GH_AW_MAX_DAILY_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_MAX_DAILY_AI_CREDITS \|\| '5000' }}
	GH_AW_MAX_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_MAX_AI_CREDITS \|\| '1000' }}
	with:
	github-token: ${{ secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'check_daily_aic_workflow_guardrail.cjs'));
	await main();
	- name: Publish daily AIC scan observations
	if: always() && env.GH_AW_MAX_DAILY_AI_CREDITS != ''
	continue-on-error: true
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: aic-usage-scan-v2
	path: /tmp/gh-aw/agentic-workflow-usage-scan-v2.jsonl
	overwrite: true
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '3' }}
	- name: Add rocket reaction for immediate feedback
	id: react
	if: github.event_name == 'issues' \|\| github.event_name == 'issue_comment' \|\| github.event_name == 'pull_request_review_comment' \|\| github.event_name == 'discussion' \|\| github.event_name == 'discussion_comment' \|\| github.event_name == 'pull_request' && github.event.pull_request.head.repo.id == github.repository_id \|\| github.event_name == 'workflow_dispatch' && (fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'issues' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'issue_comment' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'pull_request_review_comment' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'pull_request' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'discussion' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'discussion_comment')
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_REACTION: "rocket"
	with:
	github-token: ${{ secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'add_reaction.cjs'));
	await main();
	- name: Check for OAuth tokens
	id: check-oauth-tokens
	run: bash "${RUNNER_TEMP}/gh-aw/actions/check_oauth_tokens.sh"
	env:
	COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
	GH_AW_GITHUB_TOKEN: ${{ secrets.GH_AW_GITHUB_TOKEN }}
	GH_AW_GITHUB_MCP_SERVER_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN }}
	- name: Checkout .github and .agents folders
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	persist-credentials: false
	ref: ${{ (github.event_name == 'pull_request' \|\| github.event_name == 'pull_request_review' \|\| github.event_name == 'pull_request_review_comment') && github.event.pull_request != null && github.event.pull_request.base.sha \|\| github.sha }}
	sparse-checkout: \|
	.github
	.agents
	actions/setup
	.claude
	.codex
	.gemini
	.pi
	.pydantic-ai
	sparse-checkout-cone-mode: true
	fetch-depth: 1
	- name: Save agent config folders for base branch restoration
	env:
	GH_AW_AGENT_FOLDERS: ".agents .github .pydantic-ai"
	GH_AW_AGENT_FILES: "AGENTS.md"
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/save_base_github_folders.sh"
	- name: Check workflow lock file
	id: check-lock-file
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_WORKFLOW_FILE: "smoke-pydantic.lock.yml"
	GH_AW_CONTEXT_WORKFLOW_REF: "${{ github.workflow_ref }}"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'check_workflow_timestamp_api.cjs'));
	await main();
	- name: Compute current body text
	id: sanitized
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_ALLOWED_DOMAINS: ".githubusercontent.com,.pythonhosted.org,127.0.0.1,::1,anaconda.org,api.snapcraft.io,app.renovatebot.com,appveyor.com,archive.ubuntu.com,azure.archive.ubuntu.com,badgen.net,binstar.org,bootstrap.pypa.io,circleci.com,codacy.com,codeclimate.com,codecov.io,codeload.github.com,conda.anaconda.org,conda.binstar.org,coveralls.io,crl.geotrust.com,crl.globalsign.com,crl.identrust.com,crl.sectigo.com,crl.thawte.com,crl.usertrust.com,crl.verisign.com,crl3.digicert.com,crl4.digicert.com,crls.ssl.com,deepsource.io,docs.github.com,drone.io,files.pythonhosted.org,github-cloud.githubusercontent.com,github-cloud.s3.amazonaws.com,github.blog,github.com,github.githubassets.com,img.shields.io,json-schema.org,json.schemastore.org,keyserver.ubuntu.com,lfs.github.com,localhost,objects.githubusercontent.com,ocsp.digicert.com,ocsp.geotrust.com,ocsp.globalsign.com,ocsp.identrust.com,ocsp.sectigo.com,ocsp.ssl.com,ocsp.thawte.com,ocsp.usertrust.com,ocsp.verisign.com,packagecloud.io,packages.cloud.google.com,packages.microsoft.com,patch-diff.githubusercontent.com,patchdiff.githubusercontent.com,pip.pypa.io,ppa.launchpad.net,pypi.org,pypi.python.org,raw.githubusercontent.com,readthedocs.io,readthedocs.org,renovatebot.com,repo.anaconda.com,repo.continuum.io,s.symcb.com,s.symcd.com,security.ubuntu.com,semaphoreci.com,shields.io,snyk.io,sonarcloud.io,sonarqube.com,travis-ci.com,ts-crl.ws.symantec.com,ts-ocsp.ws.symantec.com,www.googleapis.com"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'compute_text.cjs'));
	await main();
	- name: Add comment with workflow run link
	id: add-comment
	if: github.event_name == 'issues' \|\| github.event_name == 'issue_comment' \|\| github.event_name == 'pull_request_review_comment' \|\| github.event_name == 'discussion' \|\| github.event_name == 'discussion_comment' \|\| github.event_name == 'pull_request' && github.event.pull_request.head.repo.id == github.repository_id \|\| github.event_name == 'workflow_dispatch' && (fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'issues' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'issue_comment' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'pull_request_review_comment' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'pull_request' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'discussion' \|\| fromJSON(github.event.inputs.aw_context \|\| '{}').event_type == 'discussion_comment')
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_EMOJI: "🐍"
	GH_AW_SAFE_OUTPUT_MESSAGES: "{\"footer\":\"\\u003e 🐍 [{workflow_name}]({run_url}) — Powered by Pydantic AI{ai_credits_suffix}{history_link}\",\"runStarted\":\"🐍 Pydantic AI initializing... [{workflow_name}]({run_url}) begins on this {event_type}...\",\"runSuccess\":\"🐍 [{workflow_name}]({run_url}) Pydantic AI delivered.\",\"runFailure\":\"⚠️ [{workflow_name}]({run_url}) {status}. Pydantic AI encountered unexpected challenges...\"}"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'add_workflow_run_comment.cjs'));
	await main();
	- name: Log runtime features
	if: ${{ contains(toJSON(vars), '"GH_AW_RUNTIME_FEATURES":') }}
	run: bash "${RUNNER_TEMP}/gh-aw/actions/log_runtime_features_summary.sh"
	- name: Create prompt with built-in context
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_ACTIONS_DIR: ${{ runner.temp }}/gh-aw/actions
	GH_AW_PROMPT: ${{ runner.temp }}/gh-aw/aw-prompts/prompt.txt
	GH_AW_SAFE_OUTPUTS: ${{ runner.temp }}/gh-aw/safeoutputs/outputs.jsonl
	GH_AW_PROMPT_CONFIG: "{\"items\":[{\"content_env\":\"GH_AW_PROMPT_CONTENT_0000\"},{\"file\":\"xpia.md\"},{\"file\":\"temp_folder_prompt.md\"},{\"file\":\"markdown.md\"},{\"file\":\"safe_outputs_mcp_transport_prompt.md\"},{\"file\":\"safe_outputs_prompt.md\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0001\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0002\"},{\"file\":\"mcp_cli_tools_with_safeoutputs_prompt.md\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0003\"},{\"file\":\"github_mcp_tools_with_safeoutputs_prompt.md\"},{\"file\":\"pr_context_prompt.md\",\"condition_env\":\"GH_AW_INCLUDE_PR_CONTEXT\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0004\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0005\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0006\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0007\"},{\"content_env\":\"GH_AW_PROMPT_CONTENT_0008\"}],\"system_item_count\":13}"
	GH_AW_EXPR_76DF9333: ${{ github.event.pull_request.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'pull_request' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_EXPR_77C1A4D2: ${{ github.event.comment.id \|\| fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').comment_id }}
	GH_AW_EXPR_7C248226: ${{ github.event.issue.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'issue' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_EXPR_C19C384F: ${{ github.event.discussion.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'discussion' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_GITHUB_ACTOR: ${{ github.actor }}
	GH_AW_GITHUB_REPOSITORY: ${{ github.repository }}
	GH_AW_GITHUB_RUN_ID: ${{ github.run_id }}
	GH_AW_GITHUB_SERVER_URL: ${{ github.server_url }}
	GH_AW_GITHUB_WORKSPACE: ${{ github.workspace }}
	GH_AW_INCLUDE_PR_CONTEXT: ${{ (github.event_name == 'issue_comment' && github.event.issue.pull_request != null) \|\| github.event_name == 'pull_request_review_comment' \|\| github.event_name == 'pull_request_review' }}
	GH_AW_PROMPT_CONTENT_0000: "<system>\n"
	GH_AW_PROMPT_CONTENT_0001: "<safe-output-tools>\nTools: add_comment(max:2), create_issue, add_labels, missing_tool, missing_data, noop(max:2)\n"
	GH_AW_PROMPT_CONTENT_0002: "</safe-output-tools>\n"
	GH_AW_PROMPT_CONTENT_0003: "<github-context>\nThe following GitHub context information is available for this workflow:\n{{#if github.actor}}\n- actor: __GH_AW_GITHUB_ACTOR__\n{{/if}}\n{{#if github.repository}}\n- repository: __GH_AW_GITHUB_REPOSITORY__\n{{/if}}\n{{#if github.workspace}}\n- workspace: __GH_AW_GITHUB_WORKSPACE__\n{{/if}}\n{{#if github.event.issue.number \|\| (github.aw.context.item_type == 'issue' && github.aw.context.item_number)}}\n- issue-number: #__GH_AW_EXPR_7C248226__\n{{/if}}\n{{#if github.event.discussion.number \|\| (github.aw.context.item_type == 'discussion' && github.aw.context.item_number)}}\n- discussion-number: #__GH_AW_EXPR_C19C384F__\n{{/if}}\n{{#if github.event.pull_request.number \|\| (github.aw.context.item_type == 'pull_request' && github.aw.context.item_number)}}\n- pull-request-number: #__GH_AW_EXPR_76DF9333__\n{{/if}}\n{{#if github.event.comment.id \|\| github.aw.context.comment_id}}\n- comment-id: __GH_AW_EXPR_77C1A4D2__\n{{/if}}\n{{#if github.run_id}}\n- workflow-run-id: __GH_AW_GITHUB_RUN_ID__\n{{/if}}\n</github-context>\n\n"
	GH_AW_PROMPT_CONTENT_0004: "</system>\n"
	GH_AW_PROMPT_CONTENT_0005: "{{#runtime-import .github/aw/imports/pydantic/pydantic-ai/319d72ccf220427e59b9f4e61f17d7be52c90d68/src_pydantic_ai_harness_gh-aw_pydantic.md}}\n"
	GH_AW_PROMPT_CONTENT_0006: "{{#runtime-import .github/workflows/shared/smoke-test-brevity.md}}\n"
	GH_AW_PROMPT_CONTENT_0007: "{{#runtime-import .github/workflows/shared/reporting.md}}\n"
	GH_AW_PROMPT_CONTENT_0008: "{{#runtime-import .github/workflows/smoke-pydantic.md}}\n"
	with:
	script: \|
	const { setupGlobals } = require(process.env.GH_AW_ACTIONS_DIR + '/setup_globals.cjs');
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(process.env.GH_AW_ACTIONS_DIR + '/create_prompt.cjs');
	await main(core);
	- name: Interpolate variables and render templates
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_PROMPT: ${{ runner.temp }}/gh-aw/aw-prompts/prompt.txt
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_SUB_AGENT_DIR: ".pydantic-ai/agents"
	GH_AW_SUB_AGENT_EXT: ".agent.md"
	GH_AW_SKILL_DIR: ".pydantic-ai/skills"
	GH_AW_SKILL_EXT: "/SKILL.md"
	GH_AW_GITHUB_REPOSITORY: ${{ github.repository }}
	GH_AW_GITHUB_RUN_ID: ${{ github.run_id }}
	GH_AW_GITHUB_SERVER_URL: ${{ github.server_url }}
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'interpolate_prompt.cjs'));
	await main();
	- name: Substitute placeholders
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_PROMPT: ${{ runner.temp }}/gh-aw/aw-prompts/prompt.txt
	GH_AW_EXPR_76DF9333: ${{ github.event.pull_request.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'pull_request' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_EXPR_77C1A4D2: ${{ github.event.comment.id \|\| fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').comment_id }}
	GH_AW_EXPR_7C248226: ${{ github.event.issue.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'issue' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_EXPR_C19C384F: ${{ github.event.discussion.number \|\| (fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_type == 'discussion' && fromJSON(steps.generate_aw_info.outputs.aw_context \|\| '{}').item_number) }}
	GH_AW_GITHUB_ACTOR: ${{ github.actor }}
	GH_AW_GITHUB_REPOSITORY: ${{ github.repository }}
	GH_AW_GITHUB_RUN_ID: ${{ github.run_id }}
	GH_AW_GITHUB_SERVER_URL: ${{ github.server_url }}
	GH_AW_GITHUB_WORKSPACE: ${{ github.workspace }}
	GH_AW_INCLUDE_PR_CONTEXT: ${{ (github.event_name == 'issue_comment' && github.event.issue.pull_request != null) \|\| github.event_name == 'pull_request_review_comment' \|\| github.event_name == 'pull_request_review' }}
	GH_AW_MCP_CLI_SERVERS_LIST: '- `safeoutputs` — run `safeoutputs --help` to see available tools'
	GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_ACTIVATED: ${{ needs.pre_activation.outputs.activated }}
	GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_MATCHED_COMMAND: ${{ needs.pre_activation.outputs.matched_command }}
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);

	const substitutePlaceholders = require(path.join(actionsDir, 'substitute_placeholders.cjs'));

	// Call the substitution function
	return await substitutePlaceholders({
	file: process.env.GH_AW_PROMPT,
	substitutions: {
	GH_AW_EXPR_76DF9333: process.env.GH_AW_EXPR_76DF9333,
	GH_AW_EXPR_77C1A4D2: process.env.GH_AW_EXPR_77C1A4D2,
	GH_AW_EXPR_7C248226: process.env.GH_AW_EXPR_7C248226,
	GH_AW_EXPR_C19C384F: process.env.GH_AW_EXPR_C19C384F,
	GH_AW_GITHUB_ACTOR: process.env.GH_AW_GITHUB_ACTOR,
	GH_AW_GITHUB_REPOSITORY: process.env.GH_AW_GITHUB_REPOSITORY,
	GH_AW_GITHUB_RUN_ID: process.env.GH_AW_GITHUB_RUN_ID,
	GH_AW_GITHUB_SERVER_URL: process.env.GH_AW_GITHUB_SERVER_URL,
	GH_AW_GITHUB_WORKSPACE: process.env.GH_AW_GITHUB_WORKSPACE,
	GH_AW_INCLUDE_PR_CONTEXT: process.env.GH_AW_INCLUDE_PR_CONTEXT,
	GH_AW_MCP_CLI_SERVERS_LIST: process.env.GH_AW_MCP_CLI_SERVERS_LIST,
	GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_ACTIVATED: process.env.GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_ACTIVATED,
	GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_MATCHED_COMMAND: process.env.GH_AW_NEEDS_PRE_ACTIVATION_OUTPUTS_MATCHED_COMMAND
	}
	});
	- name: Validate prompt placeholders
	env:
	GH_AW_PROMPT: ${{ runner.temp }}/gh-aw/aw-prompts/prompt.txt
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/validate_prompt_placeholders.sh"
	- name: Print prompt
	env:
	GH_AW_PROMPT: ${{ runner.temp }}/gh-aw/aw-prompts/prompt.txt
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/print_prompt_summary.sh"
	- name: Upload info artifact
	if: success() \|\| failure()
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: info
	path: /tmp/gh-aw/aw_info.json
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}
	- name: Stage prompt files for artifact upload
	run: \|
	mkdir -p /tmp/gh-aw/aw-prompts
	cp -a "${RUNNER_TEMP}/gh-aw/aw-prompts/." /tmp/gh-aw/aw-prompts/
	- name: Upload activation artifact
	if: success() \|\| failure()
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: activation
	include-hidden-files: true
	path: \|
	/tmp/gh-aw/aw_info.json
	/tmp/gh-aw/models.json
	/tmp/gh-aw/aw-prompts/prompt.txt
	/tmp/gh-aw/aw-prompts/system.txt
	/tmp/gh-aw/aw-prompts/user.txt
	/tmp/gh-aw/aw-prompts/prompt-template.txt
	/tmp/gh-aw/aw-prompts/prompt-import-tree.json
	/tmp/gh-aw/github_rate_limits.jsonl
	/tmp/gh-aw/base
	/tmp/gh-aw/.pydantic-ai/agents
	/tmp/gh-aw/.pydantic-ai/skills
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '1' }}

	agent:
	name: agent
	needs: activation
	if: needs.activation.outputs.daily_ai_credits_exceeded != 'true'
	runs-on: ubuntu-latest
	# Permissions for the agent job (workflow permissions default to none).
	permissions:
	contents: read
	issues: read
	pull-requests: read
	timeout-minutes: 60
	env:
	DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
	GH_AW_ASSETS_ALLOWED_EXTS: ""
	GH_AW_ASSETS_BRANCH: ""
	GH_AW_ASSETS_MAX_SIZE_KB: 0
	GH_AW_ENGINE_VERSION: "0.35.0"
	GH_AW_MCP_LOG_DIR: /tmp/gh-aw/mcp-logs/safeoutputs
	GH_AW_PROJECT_UTC: "-08:00"
	GH_AW_PR_HEAD_BASE_BRANCH: ""
	GH_AW_PR_HEAD_BASE_PR_NUMBER: ""
	GH_AW_PR_HEAD_BASE_REF: ""
	GH_AW_PR_HEAD_BASE_REPO: ""
	GH_AW_PR_HEAD_BASE_SHA: ""
	GH_AW_PR_HEAD_REPO: ""
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	GH_AW_WORKFLOW_ID_SANITIZED: smokepydantic
	outputs:
	ai_credits_rate_limit_error: ${{ steps.parse-mcp-gateway.outputs.ai_credits_rate_limit_error \|\| 'false' }}
	aic: ${{ steps.parse-token-usage.outputs.aic }}
	ambient_context: ${{ steps.parse-token-usage.outputs.ambient_context }}
	checkout_pr_success: ${{ steps.checkout-pr.outputs.checkout_pr_success \|\| 'true' }}
	has_patch: ${{ steps.collect_output.outputs.has_patch }}
	model: ${{ needs.activation.outputs.model }}
	output: ${{ steps.collect_output.outputs.output }}
	output_types: ${{ steps.collect_output.outputs.output_types }}
	setup-parent-span-id: ${{ steps.setup.outputs.parent-span-id \|\| steps.setup.outputs.span-id }}
	setup-span-id: ${{ steps.setup.outputs.span-id }}
	setup-trace-id: ${{ steps.setup.outputs.trace-id }}
	unknown_model_ai_credits: ${{ steps.parse-mcp-gateway.outputs.unknown_model_ai_credits \|\| 'false' }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	trace-id: ${{ needs.activation.outputs.setup-trace-id }}
	parent-span-id: ${{ needs.activation.outputs.setup-parent-span-id \|\| needs.activation.outputs.setup-span-id }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Set runtime paths
	id: set-runtime-paths
	env:
	GH_AW_RUNNER_TOOL_CACHE: ${{ runner.tool_cache }}
	run: \| # zizmor: ignore[github-env] - runner.tool_cache is set by GitHub Actions, not user input.
	if [ -z "${RUNNER_TOOL_CACHE:-}" ]; then
	echo "RUNNER_TOOL_CACHE=${GH_AW_RUNNER_TOOL_CACHE}" >> "$GITHUB_ENV"
	fi
	{
	echo "GH_AW_SAFE_OUTPUTS=${RUNNER_TEMP}/gh-aw/safeoutputs/outputs.jsonl"
	echo "GH_AW_SAFE_OUTPUTS_CONFIG_PATH=${RUNNER_TEMP}/gh-aw/safeoutputs/config.json"
	echo "GH_AW_SAFE_OUTPUTS_TOOLS_PATH=${RUNNER_TEMP}/gh-aw/safeoutputs/tools.json"
	} >> "$GITHUB_OUTPUT"
	- name: Mask OTLP telemetry headers
	run: bash "${RUNNER_TEMP}/gh-aw/actions/mask_otlp_headers.sh"
	- name: Check OTLP telemetry configuration
	run: bash "${RUNNER_TEMP}/gh-aw/actions/check_otlp_default_credentials.sh"
	- name: Checkout repository (gh-aw default)
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	persist-credentials: false
	- name: Initialize agent execution evidence
	run: \|
	mkdir -p "/tmp/gh-aw"
	evidence_tmp="/tmp/gh-aw/agent_execution.json.tmp"
	printf '{"version":1,"component":"agent","run_id":%s,"run_attempt":%s,"state":"not_started"}\n' "$GITHUB_RUN_ID" "$GITHUB_RUN_ATTEMPT" > "$evidence_tmp"
	mv "$evidence_tmp" "/tmp/gh-aw/agent_execution.json"
	- name: Setup Python
	uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
	with:
	python-version: '3.12'
	- name: Create gh-aw temp directory
	run: bash "${RUNNER_TEMP}/gh-aw/actions/create_gh_aw_tmp_dir.sh"
	- name: Configure gh CLI for GitHub Enterprise
	run: bash "${RUNNER_TEMP}/gh-aw/actions/configure_gh_for_ghe.sh"
	env:
	GH_TOKEN: ${{ github.token }}
	- name: Download activation artifact
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	name: activation
	path: /tmp/gh-aw
	- name: Configure Git credentials
	env:
	GITHUB_REPOSITORY: ${{ github.repository }}
	GITHUB_SERVER_URL: ${{ github.server_url }}
	GITHUB_TOKEN: ${{ github.token }}
	run: bash "${RUNNER_TEMP}/gh-aw/actions/configure_git_credentials.sh"
	- name: Checkout PR branch
	id: checkout-pr
	if: \|
	github.event.pull_request \|\| github.event.issue.pull_request \|\| github.event_name == 'workflow_dispatch'
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN \|\| secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN \|\| secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'checkout_pr_branch.cjs'));
	await main();
	- name: Setup Node.js
	uses: actions/setup-node@949feb2413d6458794dcd2491c4babbbce0c15c1 # v7.1.0
	with:
	node-version: '24'
	package-manager-cache: false
	- name: Install AWF binary
	run: bash "${RUNNER_TEMP}/gh-aw/actions/install_awf_binary.sh" v0.28.50 --rootless
	- name: Determine automatic lockdown mode for GitHub MCP Server
	id: determine-automatic-lockdown
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_GITHUB_TOKEN: ${{ secrets.GH_AW_GITHUB_TOKEN }}
	GH_AW_GITHUB_MCP_SERVER_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN }}
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const determineAutomaticLockdown = require(path.join(actionsDir, 'determine_automatic_lockdown.cjs'));
	await determineAutomaticLockdown(github, context, core);
	- name: Restore agent config folders from base branch
	if: steps.checkout-pr.outcome == 'success'
	env:
	GH_AW_AGENT_FOLDERS: ".agents .github .pydantic-ai"
	GH_AW_AGENT_FILES: "AGENTS.md"
	run: bash "${RUNNER_TEMP}/gh-aw/actions/restore_base_github_folders.sh"
	- name: Restore inline sub-agents from activation artifact
	env:
	GH_AW_SUB_AGENT_DIR: ".pydantic-ai/agents"
	GH_AW_SUB_AGENT_EXT: ".agent.md"
	run: bash "${RUNNER_TEMP}/gh-aw/actions/restore_inline_sub_agents.sh"
	- name: Restore inline skills from activation artifact
	env:
	GH_AW_SKILL_DIR: ".pydantic-ai/skills"
	run: bash "${RUNNER_TEMP}/gh-aw/actions/restore_inline_skills.sh"
	- name: Preinstall Pydantic AI coder agent
	run: "# This step runs on the host runner with the checkout as its working\n# directory, before the AWF sandbox exists. -P keeps that directory off\n# sys.path, so a repo-local pip.py or pydantic_ai_harness/ cannot be\n# imported in place of the installed packages.\n#\n# 2.36.0 carried `pai --mcp-config`, which is how the gateway's MCP servers\n# reach the agent. The floor is 2.44.0 for a second reason: it is the first\n# release where `Agent.from_spec()` accepts a spec that names no model, so a\n# `PAI_AGENT` spec file no longer has to carry a `model:` that the engine's\n# own `-m` immediately replaces.\n#\n# The anthropic extra is what an `anthropic/` model runs on: that backend of\n# the api-proxy serves the Messages API, not Chat Completions.\n# The spec extra supplies YAML parsing for PAI_AGENT spec files.\npython3 -P -m pip install --quiet --user --disable-pip-version-check \"pydantic-ai-harness[cli]==$GH_AW_ENGINE_VERSION\" \"pydantic-ai-slim[anthropic,openai,mcp,spec]>=2.44.0\"\n# Logfire 4.39.0 is pydantic-ai-slim's compatibility floor. Install it only\n# when gh-aw supplies an OTLP endpoint, so other runs pay no installation cost.\nif [ -n \"${OTEL_EXPORTER_OTLP_ENDPOINT:-}\" ]; then\n python3 -P -m pip install --quiet --user --disable-pip-version-check \"logfire>=4.39.0\"\nfi\n\"$HOME/.local/bin/pai\" --version\npython3 -P -c \"from pydantic_ai_harness import Coder\"\n"

	- name: Download container images
	run: bash "${RUNNER_TEMP}/gh-aw/actions/download_docker_images.sh" ghcr.io/github/gh-aw-firewall/agent:0.28.50@sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620 ghcr.io/github/gh-aw-firewall/api-proxy:0.28.50@sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965 ghcr.io/github/gh-aw-firewall/squid:0.28.50@sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9 ghcr.io/github/gh-aw-mcpg:v0.4.30@sha256:ab5a436a1490438db473e4e3d4c973cb1d75e3cb233fb08b73d31b42d7d18fba ghcr.io/github/gh-aw-node@sha256:11c2c544876cdbaffefe0f7f1283b74838c209654b4934a78e23ed11f750490f ghcr.io/github/github-mcp-server:v1.12.2@sha256:508a0857ec762b1ab1cece29193345b501fab1dd9d1228a7b617062954cecac6
	- name: Prepare Safe Outputs Directories
	run: \|
	mkdir -p "${RUNNER_TEMP}/gh-aw/safeoutputs"
	mkdir -p /tmp/gh-aw/safeoutputs
	mkdir -p /tmp/gh-aw/mcp-logs/safeoutputs
	- name: Generate Safe Outputs Config
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_FILE_ROOT: "${{ runner.temp }}/gh-aw"
	GH_AW_FILE_CONFIG: "{\"files\":[{\"path\":\"safeoutputs/config.json\",\"content_env\":\"GH_AW_SAFE_OUTPUTS_CONFIG\"}]}"
	GH_AW_SAFE_OUTPUTS_CONFIG: "{\"add_comment\":{\"hide_older_comments\":true,\"max\":2},\"add_labels\":{\"allowed\":[\"smoke-pydantic\"]},\"create_issue\":{\"close_older_issues\":true,\"close_older_key\":\"smoke-pydantic\",\"expires\":2,\"labels\":[\"automation\",\"testing\"],\"max\":1},\"create_report_incomplete_issue\":{},\"missing_data\":{},\"missing_tool\":{},\"noop\":{\"max\":2,\"report-as-issue\":\"false\"},\"report_incomplete\":{}}"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'create_files.cjs'));
	await main();
	- name: Generate Safe Outputs Tools
	env:
	GH_AW_TOOLS_META_JSON: \|
	{
	"description_suffixes": {
	"add_comment": " CONSTRAINTS: Maximum 2 comment(s) can be added. Supports reply_to_id for discussion threading.",
	"add_labels": " CONSTRAINTS: Maximum 5 add_labels call(s) allowed. Maximum 10 label(s) per call. Only these labels are allowed: [\"smoke-pydantic\"].",
	"create_issue": " CONSTRAINTS: Maximum 1 issue(s) can be created. Labels [\"automation\" \"testing\"] will be automatically added."
	},
	"repo_params": {},
	"dynamic_tools": []
	}
	GH_AW_VALIDATION_JSON: \|
	{
	"add_comment": {
	"defaultMax": 1,
	"fields": {
	"body": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 65000
	},
	"comment_id": {
	"optionalPositiveInteger": true
	},
	"item_number": {
	"issueOrPRNumber": true
	},
	"pr": {
	"issueOrPRNumber": true
	},
	"pr_number": {
	"issueOrPRNumber": true
	},
	"reply_to_id": {
	"type": "string",
	"maxLength": 256
	},
	"repo": {
	"type": "string",
	"maxLength": 256
	},
	"target": {
	"type": "string",
	"enum": [
	"status"
	]
	},
	"temporary_id": {
	"type": "string",
	"pattern": "^#?aw_[A-Za-z0-9_]{3,12}$"
	}
	}
	},
	"add_labels": {
	"defaultMax": 5,
	"fields": {
	"item_number": {
	"issueNumberOrTemporaryId": true
	},
	"labels": {
	"required": true,
	"type": "array"
	},
	"repo": {
	"type": "string",
	"maxLength": 256
	}
	}
	},
	"create_issue": {
	"defaultMax": 1,
	"fields": {
	"blocked_by": {},
	"body": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 65000,
	"minLength": 20
	},
	"fields": {
	"type": "array"
	},
	"labels": {
	"type": "array",
	"itemType": "string",
	"itemSanitize": true,
	"itemMaxLength": 128
	},
	"parent": {
	"issueOrPRNumber": true
	},
	"repo": {
	"type": "string",
	"maxLength": 256
	},
	"temporary_id": {
	"type": "string"
	},
	"title": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 128
	}
	},
	"collapseData": true
	},
	"missing_data": {
	"defaultMax": 20,
	"fields": {
	"alternatives": {
	"type": "string",
	"sanitize": true,
	"maxLength": 256
	},
	"context": {
	"type": "string",
	"sanitize": true,
	"maxLength": 256
	},
	"data_type": {
	"type": "string",
	"sanitize": true,
	"maxLength": 128
	},
	"reason": {
	"type": "string",
	"sanitize": true,
	"maxLength": 256
	}
	}
	},
	"missing_tool": {
	"defaultMax": 20,
	"fields": {
	"alternatives": {
	"type": "string",
	"sanitize": true,
	"maxLength": 512
	},
	"reason": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 256
	},
	"tool": {
	"type": "string",
	"sanitize": true,
	"maxLength": 128
	}
	}
	},
	"noop": {
	"defaultMax": 2,
	"fields": {
	"message": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 65000
	}
	}
	},
	"report_incomplete": {
	"defaultMax": 5,
	"fields": {
	"details": {
	"type": "string",
	"sanitize": true,
	"maxLength": 65000
	},
	"reason": {
	"required": true,
	"type": "string",
	"sanitize": true,
	"maxLength": 1024
	}
	}
	}
	}
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'generate_safe_outputs_tools.cjs'));
	await main();
	- name: Write Pydantic AI MCP config adapter script
	run: \|
	mkdir -p "${RUNNER_TEMP}/gh-aw/actions"
	cat <<'GHAW_MCP_CONFIG_ADAPTER_SCRIPT_7e1a4d2c_EOF' > "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_mcp_config_adapter.cjs"
	// Renders the MCP gateway's configuration as the Claude-style
	// `mcpServers` document that `pydantic_ai.mcp.load_mcp_toolsets` reads,
	// which the harness script hands to `pai --mcp-config`. Only HTTP entries
	// are carried: `load_mcp_toolsets` can host stdio
	// servers too, but the gateway already fronts every configured server
	// over HTTP, and CLI-mounted servers are excluded because the agent
	// reaches those as executables on PATH instead.
	const fs = require("fs");
	const path = require("path");

	const requireEnvVar = name => {
	const value = process.env[name];
	if (!value) throw new Error(`${name} environment variable is required`);
	return value;
	};

	const gatewayOutputPath = requireEnvVar("MCP_GATEWAY_OUTPUT");
	const gatewayDomain = process.env.MCP_GATEWAY_DOMAIN \|\| "host.docker.internal";
	const gatewayPort = requireEnvVar("MCP_GATEWAY_PORT");
	const gatewayURL = `http://${gatewayDomain}:${gatewayPort}`;

	let cliServers;
	try {
	cliServers = new Set(JSON.parse(process.env.GH_AW_MCP_CLI_SERVERS \|\| "[]"));
	} catch (error) {
	throw new Error(`Failed to parse GH_AW_MCP_CLI_SERVERS: ${error instanceof Error ? error.message : String(error)}`);
	}

	const gatewayOutput = JSON.parse(fs.readFileSync(gatewayOutputPath, "utf8"));
	const rawServers = gatewayOutput.mcpServers;
	const servers = rawServers && typeof rawServers === "object" && !Array.isArray(rawServers) ? rawServers : {};

	const mcpServers = {};
	for (const [name, entry] of Object.entries(servers)) {
	if (cliServers.has(name) \|\| !entry \|\| typeof entry !== "object") continue;
	if (typeof entry.url !== "string") {
	console.log(`Skipping MCP server ${name}: the Pydantic AI engine only supports HTTP MCP servers`);
	continue;
	}
	const server = { url: entry.url.replace(/^http:\/\/[^/]+\/mcp\//, `${gatewayURL}/mcp/`) };
	if (entry.headers && typeof entry.headers === "object") server.headers = entry.headers;
	mcpServers[name] = server;
	}

	// This script runs on the host runner, in the Start MCP Gateway step, so it
	// writes where that step already created a directory and where the agent step
	// mounts `${RUNNER_TEMP}/gh-aw` read-only -- the same file the built-in Claude
	// converter produces, which is also the path gh-aw's log redaction scans for
	// the gateway bearer token. The harness script resolves it by the same
	// expression. Keeping it out of the checkout is what stops a committed
	// `mcp.json` from reaching `pai --mcp-config`; see the harness script.
	const configPath = path.join(process.env.RUNNER_TEMP \|\| "/tmp", "gh-aw", "mcp-config", "mcp-servers.json");
	fs.mkdirSync(path.dirname(configPath), { recursive: true, mode: 0o700 });
	fs.writeFileSync(configPath, JSON.stringify({ mcpServers }, null, 2), { mode: 0o600 });
	fs.chmodSync(configPath, 0o600);
	console.log(`Wrote ${Object.keys(mcpServers).length} MCP server(s) to ${configPath}`);

	GHAW_MCP_CONFIG_ADAPTER_SCRIPT_7e1a4d2c_EOF
	chmod 755 "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_mcp_config_adapter.cjs"
	- name: Start MCP Gateway
	id: start-mcp-gateway
	env:
	GH_AW_POLICY_ALLOW_CREATE_PULL_REQUEST: ${{ vars.GH_AW_POLICY_ALLOW_CREATE_PULL_REQUEST \|\| 'true' }}
	GH_AW_SAFE_OUTPUTS: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS }}
	GH_AW_SAFE_OUTPUTS_CONFIG_PATH: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS_CONFIG_PATH }}
	GH_AW_SAFE_OUTPUTS_TOOLS_PATH: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS_TOOLS_PATH }}
	GH_AW_SINK_VISIBILITY: ${{ steps.determine-automatic-lockdown.outputs.visibility }}
	GITHUB_MCP_GUARD_MIN_INTEGRITY: ${{ steps.determine-automatic-lockdown.outputs.min_integrity }}
	GITHUB_MCP_GUARD_REPOS: ${{ steps.determine-automatic-lockdown.outputs.repos }}
	GITHUB_MCP_SERVER_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN \|\| secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	run: \|
	set -eo pipefail
	mkdir -p "${RUNNER_TEMP}/gh-aw/mcp-config"
	if [ -n "${GITHUB_EVENT_PATH:-}" ] && [ -r "${GITHUB_EVENT_PATH}" ]; then
	GH_AW_SAFEOUTPUTS_EVENT_PATH="${RUNNER_TEMP}/gh-aw/safeoutputs/github_event.json"
	cp "${GITHUB_EVENT_PATH}" "${GH_AW_SAFEOUTPUTS_EVENT_PATH}"
	export GITHUB_EVENT_PATH="${GH_AW_SAFEOUTPUTS_EVENT_PATH}"
	fi

	# Export gateway environment variables for MCP config and gateway script
	export MCP_GATEWAY_PORT="8080"
	export MCP_GATEWAY_DOMAIN="awmg-mcpg"
	export MCP_GATEWAY_HOST_DOMAIN="localhost"
	MCP_GATEWAY_AGENT_ID=$(openssl rand -base64 45 \| tr -d '/+=')
	echo "::add-mask::${MCP_GATEWAY_AGENT_ID}"
	export MCP_GATEWAY_AGENT_ID
	export MCP_GATEWAY_PAYLOAD_DIR="/tmp/gh-aw/mcp-payloads"
	mkdir -p "${MCP_GATEWAY_PAYLOAD_DIR}"
	export MCP_GATEWAY_PAYLOAD_SIZE_THRESHOLD="524288"
	export MCP_GATEWAY_ALLOWED_MOUNT_ROOTS="${GITHUB_WORKSPACE}:rw,${RUNNER_TEMP}/gh-aw:ro,${RUNNER_TEMP}/gh-aw/safeoutputs:rw,/opt:ro,/tmp:rw,/usr/bin/gh:ro"
	export GH_AW_PR_HEAD_BASE_BRANCH="${GH_AW_PR_HEAD_BASE_BRANCH:-}"
	export GH_AW_PR_HEAD_BASE_SHA="${GH_AW_PR_HEAD_BASE_SHA:-}"
	export GH_AW_PR_HEAD_BASE_REPO="${GH_AW_PR_HEAD_BASE_REPO:-}"
	export GH_AW_PR_HEAD_BASE_PR_NUMBER="${GH_AW_PR_HEAD_BASE_PR_NUMBER:-}"
	export GH_AW_PR_HEAD_BASE_REF="${GH_AW_PR_HEAD_BASE_REF:-}"
	export GH_AW_PR_HEAD_REPO="${GH_AW_PR_HEAD_REPO:-}"
	export DEBUG="*"

	export GH_AW_ENGINE="pydantic-ai"
	export GH_AW_MCP_CONFIG_ADAPTER="pydantic-ai_mcp_config_adapter.cjs"
	MCP_GATEWAY_UID=$(id -u 2>/dev/null \|\| echo '0')
	MCP_GATEWAY_GID=$(id -g 2>/dev/null \|\| echo '0')
	source "${RUNNER_TEMP}/gh-aw/actions/resolve_docker_socket_gid.sh"
	export MCP_GATEWAY_DOCKER_COMMAND='docker run -i --rm --network bridge -p 127.0.0.1:'"${MCP_GATEWAY_PORT}"':'"${MCP_GATEWAY_PORT}"' --name awmg-mcpg --add-host host.docker.internal:host-gateway --user '"${MCP_GATEWAY_UID}"':'"${MCP_GATEWAY_GID}"' --group-add '"${DOCKER_SOCK_GID}"' -v '"${DOCKER_SOCK_PATH}"':/var/run/docker.sock -e MCP_GATEWAY_PORT -e MCP_GATEWAY_DOMAIN -e MCP_GATEWAY_AGENT_ID -e MCP_GATEWAY_PAYLOAD_DIR -e MCP_GATEWAY_PAYLOAD_SIZE_THRESHOLD -e DOCKER_HOST=unix:///var/run/docker.sock -e DEBUG -e MCP_GATEWAY_LOG_DIR -e GH_AW_MCP_LOG_DIR -e GH_AW_SAFE_OUTPUTS -e GH_AW_SAFE_OUTPUTS_CONFIG_PATH -e GH_AW_SAFE_OUTPUTS_TOOLS_PATH -e GH_AW_PR_HEAD_BASE_BRANCH -e GH_AW_PR_HEAD_BASE_SHA -e GH_AW_PR_HEAD_BASE_REPO -e GH_AW_PR_HEAD_BASE_PR_NUMBER -e GH_AW_PR_HEAD_BASE_REF -e GH_AW_PR_HEAD_REPO -e GH_AW_POLICY_ALLOW_CREATE_PULL_REQUEST -e GH_AW_ASSETS_BRANCH -e GH_AW_ASSETS_MAX_SIZE_KB -e GH_AW_ASSETS_ALLOWED_EXTS -e DEFAULT_BRANCH -e GITHUB_MCP_SERVER_TOKEN -e GITHUB_MCP_GUARD_MIN_INTEGRITY -e GITHUB_MCP_GUARD_REPOS -e GH_AW_SINK_VISIBILITY -e GITHUB_REPOSITORY -e GITHUB_SERVER_URL -e GITHUB_SHA -e GITHUB_WORKSPACE -e GITHUB_TOKEN -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e GITHUB_JOB -e GITHUB_ACTION -e GITHUB_EVENT_NAME -e GITHUB_EVENT_PATH -e GITHUB_ACTOR -e GITHUB_ACTOR_ID -e GITHUB_TRIGGERING_ACTOR -e GITHUB_WORKFLOW -e GITHUB_WORKFLOW_REF -e GITHUB_WORKFLOW_SHA -e GITHUB_REF -e GITHUB_REF_NAME -e GITHUB_REF_TYPE -e GITHUB_HEAD_REF -e GITHUB_BASE_REF -e RUNNER_TEMP -e RUNNER_TOOL_CACHE -e MCP_GATEWAY_ALLOWED_MOUNT_ROOTS -e GITHUB_AW_OTEL_TRACE_ID -e GITHUB_AW_OTEL_PARENT_SPAN_ID -e OTEL_EXPORTER_OTLP_HEADERS -v /tmp/gh-aw/mcp-payloads:/tmp/gh-aw/mcp-payloads:rw -v /opt:/opt:ro -v /tmp:/tmp:rw -v '"${GITHUB_WORKSPACE}"':'"${GITHUB_WORKSPACE}"':rw -v '"${RUNNER_TEMP}"'/gh-aw/safeoutputs:'"${RUNNER_TEMP}"'/gh-aw/safeoutputs:rw ghcr.io/github/gh-aw-mcpg:v0.4.30@sha256:ab5a436a1490438db473e4e3d4c973cb1d75e3cb233fb08b73d31b42d7d18fba'

	GH_AW_NODE=$(which node 2>/dev/null \|\| command -v node 2>/dev/null \|\| echo node)
	cat << GH_AW_MCP_CONFIG_6ec59d22a52cb8cf_EOF \| "$GH_AW_NODE" "${RUNNER_TEMP}/gh-aw/actions/start_mcp_gateway.cjs"
	{
	"mcpServers": {
	"github": {
	"container": "ghcr.io/github/github-mcp-server:v1.12.2",
	"env": {
	"GITHUB_FEATURES": "fields_param",
	"GITHUB_HOST": "$GITHUB_SERVER_URL",
	"GITHUB_PERSONAL_ACCESS_TOKEN": "$GITHUB_MCP_SERVER_TOKEN",
	"GITHUB_READ_ONLY": "1",
	"GITHUB_TOOLSETS": "context,repos,issues,pull_requests"
	},
	"guard-policies": {
	"allow-only": {
	"min-integrity": "$GITHUB_MCP_GUARD_MIN_INTEGRITY",
	"repos": "$GITHUB_MCP_GUARD_REPOS"
	}
	}
	},
	"safeoutputs": {
	"container": "ghcr.io/github/gh-aw-node",
	"mounts": ["\${GITHUB_WORKSPACE}:\${GITHUB_WORKSPACE}:rw", "${RUNNER_TEMP}/gh-aw/safeoutputs:${RUNNER_TEMP}/gh-aw/safeoutputs:rw", "/tmp/gh-aw:/tmp/gh-aw:rw"],
	"args": ["-w", "\${GITHUB_WORKSPACE}"],
	"entrypoint": "sh",
	"entrypointArgs": ["-c", "sh ${RUNNER_TEMP}/gh-aw/safeoutputs/start_safe_outputs_mcp.sh"],
	"env": {
	"DEBUG": "*",
	"DEFAULT_BRANCH": "\${DEFAULT_BRANCH}",
	"GH_AW_ASSETS_ALLOWED_EXTS": "\${GH_AW_ASSETS_ALLOWED_EXTS}",
	"GH_AW_ASSETS_BRANCH": "\${GH_AW_ASSETS_BRANCH}",
	"GH_AW_ASSETS_MAX_SIZE_KB": "\${GH_AW_ASSETS_MAX_SIZE_KB}",
	"GH_AW_MCP_LOG_DIR": "\${GH_AW_MCP_LOG_DIR}",
	"GH_AW_SAFE_OUTPUTS": "\${GH_AW_SAFE_OUTPUTS}",
	"GH_AW_SAFE_OUTPUTS_CONFIG_PATH": "\${GH_AW_SAFE_OUTPUTS_CONFIG_PATH}",
	"GH_AW_SAFE_OUTPUTS_TOOLS_PATH": "\${GH_AW_SAFE_OUTPUTS_TOOLS_PATH}",
	"GH_AW_POLICY_ALLOW_CREATE_PULL_REQUEST": "\${GH_AW_POLICY_ALLOW_CREATE_PULL_REQUEST}",
	"GH_AW_PR_HEAD_BASE_BRANCH": "\${GH_AW_PR_HEAD_BASE_BRANCH}",
	"GH_AW_PR_HEAD_BASE_SHA": "\${GH_AW_PR_HEAD_BASE_SHA}",
	"GH_AW_PR_HEAD_BASE_REPO": "\${GH_AW_PR_HEAD_BASE_REPO}",
	"GH_AW_PR_HEAD_BASE_PR_NUMBER": "\${GH_AW_PR_HEAD_BASE_PR_NUMBER}",
	"GH_AW_PR_HEAD_BASE_REF": "\${GH_AW_PR_HEAD_BASE_REF}",
	"GH_AW_PR_HEAD_REPO": "\${GH_AW_PR_HEAD_REPO}",
	"GITHUB_EVENT_NAME": "\${GITHUB_EVENT_NAME}",
	"GITHUB_EVENT_PATH": "\${GITHUB_EVENT_PATH}",
	"GITHUB_REPOSITORY": "\${GITHUB_REPOSITORY}",
	"GITHUB_SHA": "\${GITHUB_SHA}",
	"GITHUB_TOKEN": "\${GITHUB_TOKEN}",
	"GITHUB_WORKSPACE": "\${GITHUB_WORKSPACE}",
	"RUNNER_TEMP": "\${RUNNER_TEMP}"
	},
	"guard-policies": {
	"write-sink": {
	"accept": [
	"*"
	],
	"sink-visibility": "${GH_AW_SINK_VISIBILITY}"
	}
	}
	}
	},
	"gateway": {
	"port": $MCP_GATEWAY_PORT,
	"domain": "${MCP_GATEWAY_DOMAIN}",
	"agentId": "${MCP_GATEWAY_AGENT_ID}",
	"payloadDir": "${MCP_GATEWAY_PAYLOAD_DIR}",
	"startupTimeout": 120,
	"opentelemetry": {
	"endpoint": "${OTEL_EXPORTER_OTLP_ENDPOINT}",
	"traceId": "${GITHUB_AW_OTEL_TRACE_ID}",
	"spanId": "${GITHUB_AW_OTEL_PARENT_SPAN_ID}"
	}
	}
	}
	GH_AW_MCP_CONFIG_6ec59d22a52cb8cf_EOF
	- name: Mount MCP servers as CLIs
	id: mount-mcp-clis
	continue-on-error: true
	env:
	MCP_GATEWAY_AGENT_ID: ${{ steps.start-mcp-gateway.outputs.gateway-agent-id }}
	MCP_GATEWAY_DOMAIN: ${{ steps.start-mcp-gateway.outputs.gateway-domain }}
	MCP_GATEWAY_PORT: ${{ steps.start-mcp-gateway.outputs.gateway-port }}
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io);
	const { main } = require(path.join(actionsDir, 'mount_mcp_as_cli.cjs'));
	await main();
	- name: Clean credentials
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/clean_git_credentials.sh"
	bash "${RUNNER_TEMP}/gh-aw/actions/verify_git_credentials.sh"
	- name: Audit pre-agent workspace
	id: pre_agent_audit
	continue-on-error: true
	run: bash "${RUNNER_TEMP}/gh-aw/actions/audit_pre_agent_workspace.sh"
	- name: Write Pydantic AI harness script
	run: \|
	mkdir -p "${RUNNER_TEMP}/gh-aw/actions"
	cat <<'GHAW_HARNESS_SCRIPT_3c7b9f1a_EOF' > "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_harness.cjs"
	const { spawnSync } = require("child_process");
	const { chmodSync, existsSync, mkdtempSync, readFileSync, writeFileSync } = require("fs");
	const { homedir, tmpdir } = require("os");
	const { join } = require("path");
	const { fetchAWFReflect, resolveProviderEndpointFromReflect, deriveBaseUrlFromModelsURL } = require("./awf_reflect.cjs");

	// gh-aw passes `execution.command-name` (or a workflow's `engine.command`)
	// first, then `execution.args`. The name is not spawned -- the CLI is started
	// by the interpreter that owns the install, see LAUNCHER below -- so only the
	// arguments after it are forwarded.
	const commandArgs = process.argv.slice(3);
	const log = message => process.stderr.write(`[pydantic-ai] ${message}\n`);

	// `pai -a` takes one target, either an import path or a JSON/YAML agent
	// spec, and the spec format resolves capability names through a closed
	// registry that the harness capabilities are not part of, so the coder
	// composition cannot be expressed as a spec. It is written as a Python
	// module instead: `Coder()` supplies six filesystem and shell tools,
	// repository context and context management.
	//
	// The gateway's MCP servers are deliberately not part of the module.
	// `pai --mcp-config` reads the same Claude-shaped config file through the
	// same `pydantic_ai.mcp.load_mcp_toolsets`, `${VAR}` expansion included, so
	// routing them through the CLI is what lets a `PAI_AGENT` agent receive
	// them on identical terms.
	const AGENT_MODULE = `from pydantic_ai import Agent
	from pydantic_ai_harness import Coder

	agent = Agent(name="coder", capabilities=[Coder()])
	`;
	const DEFAULT_AGENT = "gh_aw_agent:agent";

	// The CLI runs inside the interpreter that owns the install rather than as a
	// separate `pai` process, so the agent module is imported once, in the process
	// that runs it. Three things follow from that.
	//
	// `pai` reduces any failed `-a` load to one line naming the target, so an
	// agent that raises on import would reach the step log without its traceback.
	// The import here happens before the CLI starts, and an unhandled exception is
	// the step's failure, traceback included.
	//
	// `pydantic_ai._cli.load_agent` prepends the working directory -- the checkout
	// -- to sys.path before resolving the target, ahead of PYTHONPATH. A
	// repository file named `gh_aw_agent.py` would therefore be loaded in place of
	// the generated module. Importing the target first settles which file the name
	// means, because an import of a module already in sys.modules does not search
	// the path again.
	//
	// A separate preflight process could do neither: it would import the module in
	// one interpreter and leave the CLI to import it again in another, running any
	// module-level work in the agent twice.
	//
	// The residual is `load_agent`'s insert itself: everything the agent imports
	// after that point still sees the checkout first on sys.path. That is the
	// CLI's documented behavior for its own users, and not something this file
	// can change from the outside.
	//
	// `-P` keeps the `-c` invocation from putting the working directory on
	// sys.path on its own account; PYTHONPATH below is what makes the agent
	// importable. A spec file, and the dotted `module.attribute` form the CLI also
	// accepts, are left to the CLI as before.
	const LAUNCHER = `import os
	import runpy
	import sys

	target, *cli_args = sys.argv[1:]
	module, separator, attribute = target.rpartition(":")
	# The endpoint is gh-aw's signal that observability is configured. The
	# "if-token-present" setting avoids a missing-LOGFIRE_TOKEN failure while
	# preserving OTLP export, and console=False keeps spans out of the engine's
	# log parser, while distributed_tracing=True marks the propagated context as
	# deliberate because joining gh-aw's trace is why it is attached.
	# gh-aw supplies run identity through OTEL_RESOURCE_ATTRIBUTES,
	# so the engine adds no resource attributes. This runs before the agent
	# target import, so a user's own configure() call runs later and overrides it.
	if os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT"):
	import atexit
	import tempfile

	# Ignore checkout configuration and credentials, including when TMPDIR
	# points into the checkout. Register cleanup before Logfire's shutdown
	# handlers so its exporters finish before the directory is removed.
	logfire_dir = tempfile.TemporaryDirectory(prefix="gh-aw-logfire-", dir="/tmp")
	atexit.register(logfire_dir.cleanup)

	import logfire

	logfire.configure(
	send_to_logfire="if-token-present", console=False, distributed_tracing=True,
	config_dir=logfire_dir.name, data_dir=logfire_dir.name,
	)
	logfire.instrument_pydantic_ai()

	# gh-aw supplies TRACEPARENT for exactly this purpose: it lets engines
	# nest their spans under the workflow run's span. OpenTelemetry does not
	# read it from the environment on its own; without explicit extraction,
	# the agent and workflow spans reach the backend as unrelated traces
	# correlated only by shared resource attributes.
	traceparent = os.environ.get("TRACEPARENT")
	if traceparent:
	from opentelemetry.context import attach
	from opentelemetry.propagate import extract

	attach(extract({"traceparent": traceparent}))

	if separator and not target.lower().endswith((".yml", ".yaml", ".json")):
	import importlib

	from pydantic_ai import Agent

	loaded = getattr(importlib.import_module(module), attribute)
	if not isinstance(loaded, Agent):
	raise TypeError(f"{target} is {type(loaded).__name__}, not pydantic_ai.Agent")

	sys.argv = ["pai", *cli_args]
	runpy.run_module("pydantic_ai", run_name="__main__", alter_sys=True)
	`;

	const main = async () => {
	const workspace = process.env.GITHUB_WORKSPACE;
	if (!workspace) throw new Error("GITHUB_WORKSPACE is required");
	const promptFile = process.env.GH_AW_PROMPT;
	if (!promptFile) throw new Error("GH_AW_PROMPT is required");

	// Neither the generated module nor the gateway's MCP config is written into
	// the checkout. A file committed at a path the engine reads is
	// repository-controlled input to a process that runs with the gateway's
	// credentials: an `mcp.json` there can name a stdio server for the CLI to
	// spawn, and a package there shadows an installed one for the whole run. The
	// module goes to a private directory created inside the sandbox; the config
	// adapter writes on the host into the `${RUNNER_TEMP}/gh-aw` tree that the
	// agent step mounts read-only, where gh-aw's own Claude and Codex converters
	// write theirs.
	//
	// `PAI_AGENT` runs an agent the repository defines, in whichever form
	// `pai -a` accepts. The generated module is not written in that case:
	// nothing would load it, and a stale copy on disk is worse than none.
	const configuredAgent = process.env.PAI_AGENT;
	const agentTarget = configuredAgent \|\| DEFAULT_AGENT;
	const moduleDir = configuredAgent ? "" : mkdtempSync(join(tmpdir(), "gh-aw-pydantic-ai-"));
	if (moduleDir) {
	const agentModulePath = join(moduleDir, "gh_aw_agent.py");
	writeFileSync(agentModulePath, AGENT_MODULE, { mode: 0o600 });
	chmodSync(agentModulePath, 0o600);
	}

	const env = { ...process.env };
	// `pip install --user` puts `pai` here. The runner tool cache that holds
	// `uv` and the interpreter's own bin directory is under /opt, which the
	// sandbox exposes read-only, but the home directory is where the CLI and
	// its user site-packages actually live.
	//
	// Which interpreter owns those user site-packages matters: only the one
	// that ran the pre-agent `pip install --user` can import them, and the
	// sandbox prelude prepends every `bin` directory under the runner tool
	// cache — which caches several Python versions — so a bare `python3`
	// there resolves by `find` order rather than to the installing
	// interpreter. `actions/setup-python` names that one in `pythonLocation`;
	// putting its `bin` on PATH also gives the agent's own shell tool a
	// `python3` that can see the installed packages.
	const pythonBin = process.env.pythonLocation ? join(process.env.pythonLocation, "bin") : "";
	const python = pythonBin ? join(pythonBin, "python3") : "python3";
	env.PATH = [join(homedir(), ".local", "bin"), pythonBin, process.env.PATH \|\| ""].filter(Boolean).join(":");
	// The module is reached through PYTHONPATH rather than by importing it as a
	// package, and prepending keeps a caller-supplied PYTHONPATH usable.
	//
	// The checkout itself joins the path only under `PAI_AGENT`. That is the
	// opt-in: it makes repository code importable, which is the whole point
	// of running your own agent, and it is exactly what `-P` on the install
	// step keeps off the path for the default composition.
	env.PYTHONPATH = [moduleDir, configuredAgent ? workspace : "", process.env.PYTHONPATH \|\| ""].filter(Boolean).join(":");
	if (process.env.OTEL_EXPORTER_OTLP_ENDPOINT) {
	// Traces-only backends return 404 noise for metrics and logs. A workflow
	// can override either default when its backend accepts those signals.
	if (!env.OTEL_METRICS_EXPORTER) env.OTEL_METRICS_EXPORTER = "none";
	if (!env.OTEL_LOGS_EXPORTER) env.OTEL_LOGS_EXPORTER = "none";
	}
	delete env.COPILOT_GITHUB_TOKEN;

	const provider = process.env.GH_AW_LLM_PROVIDER;
	const configuredBaseUrl = process.env.PAI_BASE_URL;

	// `pai` sends the model name verbatim, minus the provider marker that
	// selects one of its clients, so the bare model ID reaches the api-proxy —
	// which steers to the configured provider by the port it is reached on, not
	// by a prefix in the model name: Copilot rejects `copilot/<model>` with
	// `model_not_supported`.
	// Only the first segment is the provider. Stripping greedily would eat an
	// org namespace out of ids like `meta-llama/Llama-3.1`, so this mirrors the
	// `SplitN(model, "/", 2)` gh-aw itself uses to read the provider off.
	if (!env.PAI_MODEL) throw new Error("PAI_MODEL is required");
	const modelProvider = env.PAI_MODEL.split("/", 1)[0].trim().toLowerCase();
	const requestedModel = env.PAI_MODEL.replace(/^[^/]*\//, "");
	// The api-proxy's Anthropic backend forwards the request path to
	// api.anthropic.com unchanged and rewrites Messages-shaped bodies; it does
	// not translate Chat Completions into Messages. So `anthropic/` is addressed
	// with the Messages API: `anthropic:` on `-m`, and ANTHROPIC_BASE_URL for
	// the endpoint. The Copilot and Codex backends are OpenAI-shaped and stay on
	// Chat Completions, and `PAI_BASE_URL` names a Chat Completions endpoint by
	// definition, so it keeps every provider there too.
	const useMessagesAPI = !configuredBaseUrl && modelProvider === "anthropic";
	// The dotted-alias rewrite describes the api-proxy's Copilot backend,
	// which publishes Copilot's Claude models under dotted IDs. Every other
	// destination — the anthropic and openai backends, or an endpoint named
	// by PAI_BASE_URL — gets the id the workflow wrote: a model actually
	// called `claude-sonnet-4-5` there has to arrive as that.
	const model = !configuredBaseUrl && modelProvider === "copilot"
	? requestedModel.replace(/^(claude-(?:haiku\|sonnet\|opus)-\d+)-(\d+)$/, "$1.$2")
	: requestedModel;

	// `PAI_BASE_URL` points the engine at an OpenAI-compatible endpoint of the
	// workflow's choosing instead of the AWF api-proxy. Two constraints shape
	// it.
	//
	// It has to be a variable of this definition's own, because AWF sets the
	// backend's own base URL variable on this step itself (OPENAI_BASE_URL, or
	// ANTHROPIC_BASE_URL for the anthropic backend), pointing at the api-proxy
	// on host.docker.internal whenever the firewall is enabled, so its presence
	// cannot carry the workflow's intent, and reading it as intent is what
	// made the pre-#52843 definition pick the wrong endpoint.
	//
	// There is deliberately no matching key knob. gh-aw excludes any
	// `engine.env` value holding a secret from the agent sandbox
	// (`awf --exclude-env`), so a credential cannot be delivered here at all
	// and the API key below stays the placeholder. The endpoint therefore
	// has to accept that placeholder, or be fronted by something upstream of
	// the agent that adds the real credential.
	let baseUrl = configuredBaseUrl \|\| (useMessagesAPI ? process.env.ANTHROPIC_BASE_URL : process.env.OPENAI_BASE_URL);
	if (!configuredBaseUrl) {
	// Only /reflect discovery needs the provider: it selects which of the
	// api-proxy's configured endpoints to use. A caller-supplied base URL
	// names the endpoint outright, so demanding a provider alongside it
	// would reject a complete configuration.
	if (!provider) throw new Error("GH_AW_LLM_PROVIDER is required");
	if (process.env.AWF_REFLECT_ENABLED === "1") {
	const result = await fetchAWFReflect({ logger: log });
	if (!result.ok \|\| !result.reflectData) {
	throw new Error(`Unable to discover the Pydantic AI LLM endpoint from /reflect: ${result.reason \|\| "empty response"}`);
	}
	const endpoint = resolveProviderEndpointFromReflect({
	provider,
	reflectData: result.reflectData,
	logger: log,
	});
	if (!endpoint?.baseUrl) {
	throw new Error(`No configured /reflect endpoint found for provider ${provider}`);
	}
	baseUrl = endpoint.baseUrl;
	const reflectedEndpoint = result.reflectData.endpoints?.find(
	entry => entry?.configured === true && entry.provider === endpoint.endpointProvider
	);
	if (!useMessagesAPI && typeof reflectedEndpoint?.models_url === "string") {
	// `endpoint.baseUrl` is the models-listing origin, while the
	// OpenAI-compatible client posts to `<base>/chat/completions`, so the
	// path prefix carried by models_url (`/v1` on some providers) has to
	// come along — and this helper applies the same api-proxy ->
	// host.docker.internal rewrite.
	//
	// The Anthropic client keeps the origin instead: it appends
	// `/v1/messages` itself, so carrying the prefix over would post to
	// `/v1/v1/messages`.
	baseUrl = deriveBaseUrlFromModelsURL(reflectedEndpoint.models_url);
	}
	}
	}
	if (!baseUrl) {
	throw new Error(
	`Pydantic AI requires AWF endpoint discovery, PAI_BASE_URL or ${useMessagesAPI ? "ANTHROPIC_BASE_URL" : "OPENAI_BASE_URL"}`
	);
	}
	// The AWF api-proxy injects the real upstream credentials and ignores the
	// inbound key, but neither client constructs itself without one. Setting it
	// also replaces whatever key this step inherited, so the agent process holds
	// the placeholder rather than a provider credential.
	if (useMessagesAPI) {
	env.ANTHROPIC_BASE_URL = baseUrl;
	env.ANTHROPIC_API_KEY = "awf-anthropic-proxy";
	} else {
	env.OPENAI_BASE_URL = baseUrl;
	env.OPENAI_API_KEY = "awf-copilot-proxy";
	}

	// `-m` is always passed: the composed agent carries no model, and without
	// the flag `pai` silently falls back to its own `openai:gpt-5` default,
	// billing a model the workflow never asked for. gh-aw validates
	// `provider/model` at compile time, so PAI_MODEL is set for every compiled
	// workflow, and the throw above covers any other invocation.
	//
	// An explicit `-m` also replaces the model a loaded agent declares, so a
	// `PAI_AGENT` agent runs on the workflow's `engine.model` whatever it was
	// constructed with. That is what routes it through the endpoint above.
	const cliArgs = [...commandArgs, "-a", agentTarget];
	// The config adapter writes this file only for a workflow that configures
	// MCP tools, and `--mcp-config` fails on a path that is not there, so its
	// absence has to mean "no servers" rather than an error. The
	// `RUNNER_TEMP \|\| "/tmp"` fallback is the one gh-aw's own converters use, and
	// the adapter resolves this path by the same expression.
	const mcpConfig = join(process.env.RUNNER_TEMP \|\| "/tmp", "gh-aw", "mcp-config", "mcp-servers.json");
	if (existsSync(mcpConfig)) cliArgs.push("--mcp-config", mcpConfig);
	cliArgs.push("-m", `${useMessagesAPI ? "anthropic" : "openai-chat"}:${model}`, readFileSync(promptFile, "utf8"));
	// Log only the origin because endpoint userinfo and query parameters can
	// contain credentials, and workflow run logs are not private.
	const otlpEndpoint = process.env.OTEL_EXPORTER_OTLP_ENDPOINT;
	let otlpOrigin = "";
	if (otlpEndpoint) {
	try {
	otlpOrigin = new URL(otlpEndpoint).origin;
	} catch {
	otlpOrigin = "(unparsable)";
	}
	}
	log(
	`provider=${configuredBaseUrl ? "(PAI_BASE_URL)" : provider} model=${model} baseUrl=${baseUrl}` +
	(configuredAgent ? ` agent=${configuredAgent}` : "") +
	(otlpOrigin ? ` otlp=${otlpOrigin}` : "")
	);
	// The target is passed twice on purpose: once for LAUNCHER, which imports it
	// and hands the CLI a module already in sys.modules, and once as the `-a`
	// the CLI parses for itself.
	const result = spawnSync(python, ["-P", "-c", LAUNCHER, agentTarget, ...cliArgs], { cwd: workspace, env, stdio: "inherit" });
	if (result.error) throw result.error;
	if (result.status !== 0) {
	const error = new Error(`Pydantic AI execution failed with exit code ${result.status ?? "unknown"}`);
	// Surface the child's own status so the step fails with the same code.
	error.exitCode = typeof result.status === "number" && result.status !== 0 ? result.status : 1;
	throw error;
	}
	};

	main().catch(error => {
	log(error instanceof Error ? error.message : String(error));
	process.exitCode = typeof error?.exitCode === "number" && error.exitCode !== 0 ? error.exitCode : 1;
	});

	GHAW_HARNESS_SCRIPT_3c7b9f1a_EOF
	chmod 755 "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_harness.cjs"
	- name: Write Pydantic AI log parser script
	if: always()
	run: \|
	mkdir -p "${RUNNER_TEMP}/gh-aw/actions"
	cat <<'GHAW_LOG_PARSER_SCRIPT_5d2e8b3f_EOF' > "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_log_parser.cjs"
	// @ts-check
	// Auto-generated log parser for behavior-defined engine "Pydantic AI".
	const { createEngineLogParser } = require("./log_parser_shared.cjs");

	// --- begin engine-provided parse function ---
	function parseLog(logContent) {
	const lines = logContent.split("\n");
	const logEntries = [];
	const mcpFailures = [];
	let maxTurnsHit = false;
	const AWF_INFRA_RE = /^\[(INFO\|WARN\|SUCCESS\|ERROR\|entrypoint\|health-check\|pydantic-ai)\]\|^ (?:Container\|Network\|Volume) \|^Process exiting with code:/;
	let inputTokens = 0;
	let outputTokens = 0;
	let toolCallIndex = 0;
	let turnCount = 0;
	let pendingText = [];

	function flushText() {
	if (pendingText.length === 0) return;
	const text = pendingText.join("\n").trim();
	if (text) {
	logEntries.push({ type: "assistant", message: { content: [{ type: "text", text }] } });
	turnCount++;
	}
	pendingText = [];
	}

	logEntries.push({ type: "system", subtype: "init", model: null, session_id: null });

	for (const line of lines) {
	if (!line.trim()) continue;
	if (AWF_INFRA_RE.test(line)) continue;
	if (/max.?turns\|maximum.turns.reached\|turn limit/i.test(line)) maxTurnsHit = true;
	if (/MCP server .* failed\|MCP.connection.error\|Failed to connect to MCP/i.test(line)) {
	const serverMatch = line.match(/MCP server ['"]?([^\s'"]+)['"]?/i);
	mcpFailures.push(serverMatch ? serverMatch[1] : line.trim());
	}

	let parsed = null;
	try {
	if (line.trim().startsWith("{")) parsed = JSON.parse(line.trim());
	} catch (e) { /* not JSON */ }

	if (parsed) {
	if (parsed.input_tokens) inputTokens += parsed.input_tokens;
	if (parsed.output_tokens) outputTokens += parsed.output_tokens;
	const entryType = parsed.type != null ? String(parsed.type) : "log";
	const msg = parsed.msg \|\| parsed.message \|\| parsed.content \|\| "";

	if (/tool[._]call\|tool[._]use/i.test(entryType)) {
	flushText();
	const toolId = `pai_tool_${toolCallIndex++}`;
	const toolName = parsed.tool \|\| parsed.name \|\| entryType;
	logEntries.push({ type: "assistant", message: { content: [{ type: "tool_use", id: toolId, name: toolName, input: {} }] } });
	logEntries.push({ type: "user", message: { content: [{ type: "tool_result", tool_use_id: toolId, content: msg }] } });
	} else if (msg) {
	pendingText.push(msg);
	} else if (!parsed.input_tokens && !parsed.output_tokens) {
	// A JSON line carrying none of the text fields is still assistant output --
	// a reply that is bare JSON, say -- so it is kept as written. A usage record
	// is not: its numbers were just added to the totals.
	pendingText.push(line.trim());
	}
	} else {
	pendingText.push(line.trim());
	}
	}
	flushText();

	const usage = {};
	if (inputTokens) usage.input_tokens = inputTokens;
	if (outputTokens) usage.output_tokens = outputTokens;
	logEntries.push({ type: "result", num_turns: turnCount, usage });
	const parts = [`Turns: ${turnCount}`, `Tool calls: ${toolCallIndex}`];
	if (inputTokens \|\| outputTokens) parts.push(`Tokens: ${((inputTokens ?? 0) + (outputTokens ?? 0)).toLocaleString()}`);
	if (mcpFailures.length) parts.push(`MCP failures: ${mcpFailures.length}`);
	if (maxTurnsHit) parts.push("Max turns reached");
	return { markdown: parts.join(" · "), logEntries, mcpFailures, maxTurnsHit };
	}

	// --- end engine-provided parse function ---

	const main = createEngineLogParser({
	parserName: "Pydantic AI",
	parseFunction: parseLog,
	supportsDirectories: false,
	});

	if (typeof module !== "undefined" && module.exports) {
	module.exports = { main, parseLog };
	}
	GHAW_LOG_PARSER_SCRIPT_5d2e8b3f_EOF
	chmod 755 "${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_log_parser.cjs"
	- name: Execute Pydantic AI CLI
	id: agentic_execution
	timeout-minutes: 10
	run: \|
	set -o pipefail
	gh_aw_exit_code=0
	trap 'gh_aw_exit_code=$?; mkdir -p /tmp/gh-aw >/dev/null 2>&1 \|\| true; printf "%s" "$gh_aw_exit_code" > /tmp/gh-aw/agent_execution_exit_code.txt \|\| true; if [ "$gh_aw_exit_code" -ne 0 ]; then echo "::error::Agent execution exited with code $gh_aw_exit_code"; fi' EXIT
	mkdir -p "/tmp/gh-aw"
	evidence_tmp="/tmp/gh-aw/agent_execution.json.tmp"
	printf '{"version":1,"component":"agent","run_id":%s,"run_attempt":%s,"state":"started"}\n' "$GITHUB_RUN_ID" "$GITHUB_RUN_ATTEMPT" > "$evidence_tmp"
	mv "$evidence_tmp" "/tmp/gh-aw/agent_execution.json"
	export GH_AW_AWF_EXECUTION_COMPONENT="agent"
	export GH_AW_AWF_EXECUTION_EVIDENCE_FILE="/tmp/gh-aw/agent_execution.json"
	printf '%s' "$(date +%s%3N)" > /tmp/gh-aw/agent_cli_start_ms.txt
	(umask 177 && touch /tmp/gh-aw/agent-stdio.log)
	GH_AW_MAX_AI_CREDITS="${GH_AW_MAX_AI_CREDITS:-1000}"
	if [[ ! "$GH_AW_MAX_AI_CREDITS" =~ ^[0-9]+$ ]]; then
	GH_AW_MAX_AI_CREDITS="1000"
	fi
	printf '%s\n' "{\"\$schema\":\"https://github.com/github/gh-aw-firewall/releases/download/v0.28.50/awf-config.schema.json\",\"network\":{\"allowDomains\":[\".pythonhosted.org\",\"anaconda.org\",\"api.github.com\",\"api.githubcopilot.com\",\"binstar.org\",\"bootstrap.pypa.io\",\"conda.anaconda.org\",\"conda.binstar.org\",\"files.pythonhosted.org\",\"github.com\",\"host.docker.internal\",\"objects.githubusercontent.com\",\"pip.pypa.io\",\"pypi.org\",\"pypi.python.org\",\"raw.githubusercontent.com\",\"repo.anaconda.com\",\"repo.continuum.io\"],\"isolation\":true,\"topologyAttach\":[\"awmg-mcpg\"]},\"apiProxy\":{\"enabled\":true,\"enableTokenSteering\":true,\"maxRuns\":500,\"maxAiCredits\":${GH_AW_MAX_AI_CREDITS},\"maxCacheMisses\":5,\"models\":{\"agent\":[\"sonnet-6x\",\"gpt-6\",\"gpt-5.4\",\"gpt-5.5\",\"gpt-5.6\",\"gpt-5.3\",\"gemini-pro\",\"any\"],\"antigravity\":[\"copilot/antigravity\",\"google/antigravity\",\"gemini/antigravity\"],\"any\":[\"copilot/\",\"anthropic/\",\"openai/\",\"google/\",\"gemini/\"],\"auto\":[\"copilot/auto\",\"large\"],\"claude\":[\"agent\"],\"codex\":[\"agent\"],\"coding\":[\"copilot/gpt-5codex\",\"openai/gpt-5codex\",\"gpt-5-codex\",\"kimi\"],\"computer-use\":[\"copilot/computer-use\",\"google/computer-use\",\"gemini/computer-use\",\"openai/computer-use\"],\"copilot\":[\"agent\"],\"deep-research\":[\"copilot/deep-research\",\"copilot/o3-deep-research\",\"copilot/o4-mini-deep-research\",\"google/deep-research\",\"gemini/deep-research\",\"openai/o3-deep-research\",\"openai/o4-mini-deep-research\"],\"detection\":[\"small\"],\"evals\":[\"small\"],\"fable\":[\"copilot/fable\",\"anthropic/fable\"],\"gemini\":[\"agent\"],\"gemini-3-flash\":[\"copilot/gemini-3flash\",\"google/gemini-3flash\",\"gemini/gemini-3flash\"],\"gemini-3-pro\":[\"copilot/gemini-3pro\",\"google/gemini-3pro\",\"google/nano-banana\",\"gemini/gemini-3pro\"],\"gemini-3.1-flash\":[\"copilot/gemini-3.1flash\",\"google/gemini-3.1flash\",\"gemini/gemini-3.1flash\"],\"gemini-3.1-pro\":[\"copilot/gemini-3.1pro\",\"google/gemini-3.1pro\",\"gemini/gemini-3.1pro\"],\"gemini-3.5-flash\":[\"copilot/gemini-3.5flash\",\"google/gemini-3.5flash\",\"gemini/gemini-3.5flash\"],\"gemini-3.6-flash\":[\"copilot/gemini-3.6flash\",\"google/gemini-3.6flash\",\"gemini/gemini-3.6flash\"],\"gemini-3.7-flash\":[\"copilot/gemini-3.7flash\",\"google/gemini-3.7flash\",\"gemini/gemini-3.7flash\"],\"gemini-3.8-flash\":[\"copilot/gemini-3.8flash\",\"google/gemini-3.8flash\",\"gemini/gemini-3.8flash\"],\"gemini-flash\":[\"copilot/gemini-flash\",\"google/gemini-flash\",\"gemini/gemini-flash\"],\"gemini-flash-lite\":[\"copilot/gemini-flashlite\",\"google/gemini-flashlite\",\"gemini/gemini-flashlite\"],\"gemini-omni\":[\"copilot/gemini-omni\",\"google/gemini-omni\",\"gemini/gemini-omni\"],\"gemini-pro\":[\"copilot/gemini-pro\",\"google/gemini-pro\",\"gemini/gemini-pro\"],\"gemma\":[\"copilot/gemma\",\"google/gemma\",\"gemini/gemma\"],\"gpt-5\":[\"copilot/gpt-5\",\"openai/gpt-5\"],\"gpt-5-codex\":[\"copilot/gpt-5codex\",\"openai/gpt-5codex\"],\"gpt-5-mini\":[\"copilot/gpt-5mini\",\"openai/gpt-5mini\"],\"gpt-5-nano\":[\"copilot/gpt-5nano\",\"openai/gpt-5nano\"],\"gpt-5-pro\":[\"copilot/gpt-5pro\",\"openai/gpt-5pro\"],\"gpt-5.1\":[\"copilot/gpt-5.1\",\"openai/gpt-5.1\"],\"gpt-5.2\":[\"copilot/gpt-5.2\",\"openai/gpt-5.2\"],\"gpt-5.3\":[\"copilot/gpt-5.3\",\"openai/gpt-5.3\"],\"gpt-5.4\":[\"copilot/gpt-5.4\",\"openai/gpt-5.4\"],\"gpt-5.5\":[\"copilot/gpt-5.5\",\"openai/gpt-5.5\"],\"gpt-5.6\":[\"copilot/gpt-5.6\",\"openai/gpt-5.6\"],\"gpt-6\":[\"copilot/gpt-6\",\"openai/gpt-6\"],\"grok\":[\"copilot/grok\",\"openai/grok\"],\"haiku\":[\"copilot/haiku\",\"anthropic/haiku\"],\"image-generation\":[\"copilot/gpt-image\",\"openai/gpt-image\",\"openai/chatgpt-image\",\"copilot/gemini-image\",\"google/gemini-image\",\"gemini/gemini-image\",\"google/imagen\"],\"kimi\":[\"copilot/kimi\",\"openai/kimi\"],\"kiwi\":[\"copilot/kiwi\",\"openai/kiwi\"],\"large\":[\"sonnet\",\"gpt-6\",\"gpt-5-pro\",\"gpt-5\",\"gemini-pro\"],\"lyria\":[\"google/lyria\",\"gemini/lyria\",\"copilot/lyria\"],\"mai-code\":[\"copilot/MAI-Code\",\"copilot/mai-code\",\"openai/MAI-Code\"],\"mai-code-1-flash-picker\":[\"copilot/MAI-Code-1-Flash-picker\",\"copilot/mai-code-1-flash-picker\",\"openai/MAI-Code-1-Flash-picker\"],\"mini\":[\"haiku\",\"gpt-5-mini\",\"gpt-5-nano\",\"gemini-flash-lite\"],\"nano-banana\":[\"copilot/nano-banana\",\"google/nano-banana\",\"gemini/nano-banana\"],\"opus\":[\"copilot/opus\",\"anthropic/opus\"],\"opusplan\":[\"opus?effort=high\"],\"raptor-mini\":[\"copilot/raptor\",\"openai/raptor\"],\"reasoning\":[\"copilot/o1\",\"copilot/o3\",\"copilot/o4\",\"openai/o1\",\"openai/o3\",\"openai/o4\"],\"robotics\":[\"copilot/robotics\",\"google/robotics\",\"gemini/robotics\"],\"small\":[\"mini\"],\"small-agent\":[\"haiku\",\"gpt-5-mini\",\"gemini-flash\"],\"sonnet\":[\"copilot/sonnet\",\"anthropic/sonnet\"],\"sonnet-6x\":[\"copilot/sonnet-4.5\",\"copilot/sonnet-4.6\",\"copilot/sonnet-5\",\"copilot/sonnet-4-5-\",\"anthropic/sonnet-4-5-\",\"copilot/sonnet-4-6\",\"anthropic/sonnet-4-6\",\"anthropic/sonnet-5\"],\"summarization\":[\"haiku\",\"gpt-5-mini\",\"gemini-flash-lite\",\"mini\"],\"veo\":[\"google/veo\",\"gemini/veo\"],\"vision\":[\"copilot/gemini-image\",\"google/gemini-image\",\"gemini/gemini-image\",\"copilot/gemini-flash\",\"google/gemini-flash\",\"gemini/gemini-flash\"]}},\"container\":{\"imageTag\":\"0.28.50,squid=sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9,agent=sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620,api-proxy=sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965,cli-proxy=sha256:afa9c2c1ef66009ab88eee8af0dd43a31b6cc5a481a990d0b1b93ebda4f744ce\"},\"logging\":{\"proxyLogsDir\":\"/tmp/gh-aw/sandbox/firewall/logs\",\"auditDir\":\"/tmp/gh-aw/sandbox/firewall/audit\"}}" > "${RUNNER_TEMP}/gh-aw/awf-config.json"
	cp "${RUNNER_TEMP}/gh-aw/awf-config.json" /tmp/gh-aw/awf-config.json
	export GH_AW_MODELS_JSON_PATH="/tmp/gh-aw/models.json"
	GH_AW_DOCKER_HOST=""
	if [[ "${DOCKER_HOST:-}" =~ ^tcp:// ]]; then
	GH_AW_DOCKER_HOST="${DOCKER_HOST}"
	fi
	if [[ "${DOCKER_HOST:-}" =~ ^tcp:// ]]; then
	GH_AW_CHROOT_BINARIES_SOURCE_PATH="${RUNNER_TEMP}/gh-aw" GH_AW_CHROOT_IDENTITY_HOME="${RUNNER_TEMP}/gh-aw/home" node "${RUNNER_TEMP}/gh-aw/actions/patch_awf_chroot_config.cjs"
	fi
	GH_AW_TOOL_CACHE_MOUNT=""
	GH_AW_TOOL_CACHE="${RUNNER_TOOL_CACHE:?RUNNER_TOOL_CACHE must be set}"
	if [ -d "$GH_AW_TOOL_CACHE" ]; then
	if [[ "$GH_AW_TOOL_CACHE" != /opt/* ]]; then
	GH_AW_TOOL_CACHE_MOUNT="$GH_AW_TOOL_CACHE:$GH_AW_TOOL_CACHE:ro"
	fi
	fi
	# shellcheck disable=SC1003,SC2016,SC2086
	awf --config "${RUNNER_TEMP}/gh-aw/awf-config.json" --container-workdir "${GITHUB_WORKSPACE}" --mount "${RUNNER_TEMP}/gh-aw:${RUNNER_TEMP}/gh-aw:ro" --mount "${RUNNER_TEMP}/gh-aw:/host${RUNNER_TEMP}/gh-aw:ro" ${GH_AW_TOOL_CACHE_MOUNT:+--mount "$GH_AW_TOOL_CACHE_MOUNT"} ${GH_AW_DOCKER_HOST:+--docker-host "$GH_AW_DOCKER_HOST"} --env-all --exclude-env ACTIONS_ID_TOKEN_REQUEST_TOKEN --exclude-env ACTIONS_ID_TOKEN_REQUEST_URL --exclude-env COPILOT_GITHUB_TOKEN --exclude-env GH_AW_OTLP_ENDPOINTS --exclude-env GITHUB_MCP_SERVER_TOKEN --exclude-env MCP_GATEWAY_AGENT_ID --exclude-env OTEL_EXPORTER_OTLP_ENDPOINT --exclude-env OTEL_EXPORTER_OTLP_HEADERS --mount /tmp/gh-aw:/tmp/gh-aw:rw --log-level info --skip-pull \
	-- /bin/bash -c 'set +o histexpand; export PATH="${RUNNER_TEMP}/gh-aw/mcp-cli/bin:$PATH" && export no_proxy="${NO_PROXY:-}" && : "${RUNNER_TOOL_CACHE:?RUNNER_TOOL_CACHE must be set}"; GH_AW_TOOL_CACHE="$RUNNER_TOOL_CACHE"; GH_AW_TOOL_BINS="$(find "$GH_AW_TOOL_CACHE" -maxdepth 5 -type d -name bin 2>/dev/null \| tr "\n" ":")"; GH_AW_TOOL_BINS="${GH_AW_TOOL_BINS%:}"; export PATH="$PATH${GH_AW_TOOL_BINS:+:}$GH_AW_TOOL_BINS"; [ -n "$GOROOT" ] && export PATH="$GOROOT/bin:$PATH" \|\| true; [ -n "$ERLANG_HOME" ] && export PATH="$ERLANG_HOME/bin:$PATH" \|\| true && GH_AW_NODE_EXEC="${GH_AW_NODE_BIN:-}"; if [ -z "$GH_AW_NODE_EXEC" ] \|\| [ ! -x "$GH_AW_NODE_EXEC" ]; then GH_AW_NODE_EXEC="$(command -v node 2>/dev/null \|\| true)"; fi; if [ -z "$GH_AW_NODE_EXEC" ]; then echo "node runtime missing on this runner — check runtimes.node in workflow YAML" >&2; exit 127; fi; GH_AW_NPM_GLOBAL_ROOT="$(npm root -g 2>/dev/null \|\| true)"; if [ -n "$GH_AW_NPM_GLOBAL_ROOT" ]; then export NODE_PATH="${GH_AW_NPM_GLOBAL_ROOT}${NODE_PATH:+:${NODE_PATH}}"; fi; "$GH_AW_NODE_EXEC" ${RUNNER_TEMP}/gh-aw/actions/pydantic-ai_harness.cjs pai' 2>&1 \| tee -a /tmp/gh-aw/agent-stdio.log
	env:
	AWF_REFLECT_ENABLED: 1
	COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
	GH_AW_ENGINE_VERSION: 0.35.0
	GH_AW_LLM_PROVIDER: github
	GH_AW_MAX_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_MAX_AI_CREDITS \|\| '1000' }}
	GH_AW_MAX_TURNS: ${{ vars.GH_AW_DEFAULT_MAX_TURNS \|\| '' }}
	GH_AW_PROMPT: /tmp/gh-aw/aw-prompts/prompt.txt
	GH_AW_SAFE_OUTPUTS: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS }}
	GITHUB_COPILOT_BASE_URL: http://api-proxy:10002
	GITHUB_WORKSPACE: ${{ github.workspace }}
	NO_PROXY: localhost,127.0.0.1,host.docker.internal,host.docker.internal:10000,host.docker.internal:10001,host.docker.internal:10002,host.docker.internal:10003,172.30.0.30,172.30.0.30:10000,172.30.0.30:10001,172.30.0.30:10002,172.30.0.30:10003
	OPENAI_API_KEY: ${{ secrets.COPILOT_GITHUB_TOKEN }}
	OPENAI_BASE_URL: http://api-proxy:10002
	PAI_MODEL: copilot/auto
	RUNNER_TEMP: ${{ runner.temp }}
	TRACEPARENT: ${{ env.GITHUB_AW_OTEL_TRACE_ID != '' && env.GITHUB_AW_OTEL_PARENT_SPAN_ID != '' && format('00-{0}-{1}-01', env.GITHUB_AW_OTEL_TRACE_ID, env.GITHUB_AW_OTEL_PARENT_SPAN_ID) \|\| '' }}
	- name: Configure Git credentials
	env:
	GITHUB_REPOSITORY: ${{ github.repository }}
	GITHUB_SERVER_URL: ${{ github.server_url }}
	GITHUB_TOKEN: ${{ github.token }}
	run: bash "${RUNNER_TEMP}/gh-aw/actions/configure_git_credentials.sh"
	- name: Stop MCP Gateway
	if: always()
	continue-on-error: true
	env:
	MCP_GATEWAY_PORT: ${{ steps.start-mcp-gateway.outputs.gateway-port }}
	MCP_GATEWAY_AGENT_ID: ${{ steps.start-mcp-gateway.outputs.gateway-agent-id }}
	GATEWAY_PID: ${{ steps.start-mcp-gateway.outputs.gateway-pid }}
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/stop_mcp_gateway.sh" "$GATEWAY_PID"
	- name: Redact secrets in logs
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'redact_secrets.cjs'));
	await main();
	env:
	GH_AW_SECRET_NAMES: 'COPILOT_GITHUB_TOKEN,GH_AW_GITHUB_MCP_SERVER_TOKEN,GH_AW_GITHUB_TOKEN,GITHUB_TOKEN'
	SECRET_COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
	SECRET_GH_AW_GITHUB_MCP_SERVER_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN }}
	SECRET_GH_AW_GITHUB_TOKEN: ${{ secrets.GH_AW_GITHUB_TOKEN }}
	SECRET_GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	- name: Append agent step summary
	if: always()
	run: bash "${RUNNER_TEMP}/gh-aw/actions/append_agent_step_summary.sh"
	- name: Copy Safe Outputs
	if: always()
	env:
	GH_AW_SAFE_OUTPUTS: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS }}
	run: \|
	mkdir -p /tmp/gh-aw
	cp "$GH_AW_SAFE_OUTPUTS" /tmp/gh-aw/safeoutputs.jsonl 2>/dev/null \|\| true
	- name: Ingest agent output
	id: collect_output
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_SAFE_OUTPUTS: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS }}
	GH_AW_ALLOWED_DOMAINS: ".githubusercontent.com,.pythonhosted.org,127.0.0.1,::1,anaconda.org,api.snapcraft.io,app.renovatebot.com,appveyor.com,archive.ubuntu.com,azure.archive.ubuntu.com,badgen.net,binstar.org,bootstrap.pypa.io,circleci.com,codacy.com,codeclimate.com,codecov.io,codeload.github.com,conda.anaconda.org,conda.binstar.org,coveralls.io,crl.geotrust.com,crl.globalsign.com,crl.identrust.com,crl.sectigo.com,crl.thawte.com,crl.usertrust.com,crl.verisign.com,crl3.digicert.com,crl4.digicert.com,crls.ssl.com,deepsource.io,docs.github.com,drone.io,files.pythonhosted.org,github-cloud.githubusercontent.com,github-cloud.s3.amazonaws.com,github.blog,github.com,github.githubassets.com,img.shields.io,json-schema.org,json.schemastore.org,keyserver.ubuntu.com,lfs.github.com,localhost,objects.githubusercontent.com,ocsp.digicert.com,ocsp.geotrust.com,ocsp.globalsign.com,ocsp.identrust.com,ocsp.sectigo.com,ocsp.ssl.com,ocsp.thawte.com,ocsp.usertrust.com,ocsp.verisign.com,packagecloud.io,packages.cloud.google.com,packages.microsoft.com,patch-diff.githubusercontent.com,patchdiff.githubusercontent.com,pip.pypa.io,ppa.launchpad.net,pypi.org,pypi.python.org,raw.githubusercontent.com,readthedocs.io,readthedocs.org,renovatebot.com,repo.anaconda.com,repo.continuum.io,s.symcb.com,s.symcd.com,security.ubuntu.com,semaphoreci.com,shields.io,snyk.io,sonarcloud.io,sonarqube.com,travis-ci.com,ts-crl.ws.symantec.com,ts-ocsp.ws.symantec.com,www.googleapis.com"
	GITHUB_SERVER_URL: ${{ github.server_url }}
	GITHUB_API_URL: ${{ github.api_url }}
	GH_AW_COMMANDS: "[\"smoke-pydantic\"]"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'collect_ndjson_output.cjs'));
	await main();
	- name: Parse agent logs for step summary
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: /tmp/gh-aw/agent-stdio.log
	GH_AW_SAFE_OUTPUTS: ${{ steps.set-runtime-paths.outputs.GH_AW_SAFE_OUTPUTS }}
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'pydantic-ai_log_parser.cjs'));
	await main();
	- name: Parse MCP Gateway logs for step summary
	if: always()
	id: parse-mcp-gateway
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'parse_mcp_gateway_log.cjs'));
	await main();
	- name: Print firewall logs
	if: always()
	continue-on-error: true
	env:
	AWF_LOGS_DIR: /tmp/gh-aw/sandbox/firewall/logs
	run: bash "${RUNNER_TEMP}/gh-aw/actions/print_firewall_logs.sh" --rootless
	- name: Parse token usage for step summary
	if: always()
	id: parse-token-usage
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'parse_token_usage.cjs'));
	await main();
	- name: Print AWF reflect summary
	if: always()
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'awf_reflect_summary.cjs'));
	await main();
	- name: Generate observability summary
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'generate_observability_summary.cjs'));
	await main(core);
	- name: Write agent output placeholder if missing
	if: always()
	run: \|
	if [ ! -f /tmp/gh-aw/agent_output.json ]; then
	echo '{"items":[]}' > /tmp/gh-aw/agent_output.json
	fi
	# Small dedicated copy of the agent output so safe-output processing
	# survives a failed or timed-out upload of the larger agent artifact
	- name: Upload agent output fallback artifact
	if: always()
	continue-on-error: true
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: agent-output-fallback
	path: \|
	/tmp/gh-aw/agent_output.json
	/tmp/gh-aw/safeoutputs.jsonl
	/tmp/gh-aw/agent_execution.json
	/tmp/gh-aw/agent_execution_exit_code.txt
	/tmp/gh-aw/agent_usage.jsonl
	/tmp/gh-aw/agent_usage.json
	/tmp/gh-aw/sandbox/firewall-audit-logs/api-proxy-logs/token-usage.jsonl
	/tmp/gh-aw/sandbox/firewall-audit-logs/api-proxy-logs/model-routing.jsonl
	/tmp/gh-aw/sandbox/firewall/logs/api-proxy-logs/token-usage.jsonl
	/tmp/gh-aw/sandbox/firewall/logs/api-proxy-logs/model-routing.jsonl
	/tmp/gh-aw/sandbox/firewall/audit/api-proxy-logs/token-usage.jsonl
	/tmp/gh-aw/sandbox/firewall/audit/api-proxy-logs/model-routing.jsonl
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}
	- name: Upload agent artifacts
	if: always()
	continue-on-error: true
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: agent
	path: \|
	/tmp/gh-aw/aw-prompts/prompt.txt
	/tmp/gh-aw/agent_execution.json
	/tmp/gh-aw/agent_execution_exit_code.txt
	/tmp/gh-aw/agent-session.jsonl
	/tmp/gh-aw/agent-errors.jsonl
	/tmp/gh-aw/aw-prompts/user.txt
	/tmp/gh-aw/aw-prompts/system.txt
	/tmp/gh-aw/mcp-logs/
	/tmp/gh-aw/agent_usage.json
	/tmp/gh-aw/agent-stdio.log
	/tmp/gh-aw/pre-agent-audit.txt
	/tmp/gh-aw/github_rate_limits.jsonl
	/tmp/gh-aw/otel.jsonl
	/tmp/gh-aw/otlp-export-errors.jsonl
	/tmp/gh-aw/safeoutputs.jsonl
	/tmp/gh-aw/agent_output.json
	/tmp/gh-aw/aw-*.patch
	/tmp/gh-aw/aw-*.bundle
	/tmp/gh-aw/awf-config.json
	/tmp/gh-aw/sandbox/firewall/logs/
	/tmp/gh-aw/sandbox/firewall/audit/
	/tmp/gh-aw/sandbox/firewall/awf-reflect.json
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}

	conclusion:
	name: conclusion
	needs:
	- activation
	- agent
	- detection
	- safe_outputs
	if: >
	always() && (needs.agent.result != 'skipped' \|\| needs.activation.outputs.lockdown_check_failed == 'true' \|\|
	needs.activation.outputs.oauth_token_check_failed == 'true' \|\| needs.activation.outputs.stale_lock_file_failed == 'true' \|\|
	needs.activation.outputs.daily_ai_credits_exceeded == 'true' \|\| needs.activation.outputs.daily_ai_credits_guardrail_status == 'structural_error' \|\|
	needs.activation.outputs.daily_ai_credits_guardrail_status == 'transient_error')
	runs-on: ubuntu-slim
	# Permissions for the conclusion job (workflow permissions default to none).
	permissions:
	actions: read
	issues: write
	pull-requests: write
	concurrency:
	group: "gh-aw-conclusion-smoke-pydantic"
	cancel-in-progress: false
	queue: max
	env:
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	outputs:
	incomplete_count: ${{ steps.report_incomplete.outputs.incomplete_count }}
	noop_message: ${{ steps.noop.outputs.noop_message }}
	tools_reported: ${{ steps.missing_tool.outputs.tools_reported }}
	total_count: ${{ steps.missing_tool.outputs.total_count }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	trace-id: ${{ needs.activation.outputs.setup-trace-id }}
	parent-span-id: ${{ needs.activation.outputs.setup-parent-span-id \|\| needs.activation.outputs.setup-span-id }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Download agent output artifact
	id: download-agent-output
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	pattern: "{agent,agent-output-fallback}"
	merge-multiple: true
	path: /tmp/gh-aw/
	- name: Setup agent output environment variable
	id: setup-agent-output-env
	if: steps.download-agent-output.outcome == 'success'
	run: \|
	mkdir -p /tmp/gh-aw/
	find "/tmp/gh-aw/" -type f -print
	if [ -f "/tmp/gh-aw/agent_output.json" ]; then
	echo "GH_AW_AGENT_OUTPUT=/tmp/gh-aw/agent_output.json" >> "$GITHUB_OUTPUT"
	fi
	- name: Warn if threat detection produced no verdict
	if: always() && needs.detection.result != 'skipped' && (needs.detection.outputs.detection_reason == 'agent_failure' \|\| needs.detection.outputs.detection_reason == 'parse_error' \|\| needs.detection.outputs.detection_conclusion == '')
	run: echo "::warning::Threat detection produced no security verdict. Review the detection job logs before trusting the agent outputs."
	- name: Download detection artifact
	id: download-detection-artifact
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	name: detection
	path: /tmp/gh-aw/threat-detection/
	- name: Download Safe Outputs Items Manifest
	id: download-safe-outputs-manifest
	if: always()
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	pattern: safe-outputs-items
	merge-multiple: true
	path: /tmp/gh-aw/
	- name: Process no-op messages
	id: noop
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_NOOP_MAX: "2"
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_ENGINE_VERSION: "0.35.0"
	GH_AW_ENGINE_MODEL: "copilot/auto"
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_AGENT_CONCLUSION: ${{ needs.agent.result }}
	GH_AW_NOOP_REPORT_AS_ISSUE: "false"
	GH_AW_AIC: ${{ needs.agent.outputs.aic }}
	GH_AW_THREAT_DETECTION_AIC: ${{ needs.detection.outputs.aic }}
	GH_AW_AMBIENT_CONTEXT: ${{ needs.agent.outputs.ambient_context }}
	GH_AW_WORKFLOW_ID: "smoke-pydantic"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'handle_noop_message.cjs'));
	await main();
	- name: Log detection run
	id: detection_runs
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_DETECTION_CONCLUSION: ${{ needs.detection.outputs.detection_conclusion }}
	GH_AW_DETECTION_REASON: ${{ needs.detection.outputs.detection_reason }}
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'handle_detection_runs.cjs'));
	await main();
	- name: Record missing tool
	id: missing_tool
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_MISSING_TOOL_CREATE_ISSUE: "true"
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_ENGINE_VERSION: "0.35.0"
	GH_AW_ENGINE_MODEL: "copilot/auto"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'missing_tool.cjs'));
	await main();
	- name: Record incomplete
	id: report_incomplete
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_REPORT_INCOMPLETE_CREATE_ISSUE: "true"
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_ENGINE_VERSION: "0.35.0"
	GH_AW_ENGINE_MODEL: "copilot/auto"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'report_incomplete_handler.cjs'));
	await main();
	- name: Handle agent failure
	id: handle_agent_failure
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_AGENT_CONCLUSION: ${{ needs.agent.result }}
	GH_AW_WORKFLOW_ID: "smoke-pydantic"
	GH_AW_ACTION_FAILURE_ISSUE_EXPIRES_HOURS: "12"
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_CHECKOUT_PR_SUCCESS: ${{ needs.agent.outputs.checkout_pr_success }}
	GH_AW_AI_CREDITS_RATE_LIMIT_ERROR: ${{ needs.agent.outputs.ai_credits_rate_limit_error \|\| 'false' }}
	GH_AW_UNKNOWN_MODEL_AI_CREDITS: ${{ needs.agent.outputs.unknown_model_ai_credits \|\| 'false' }}
	GH_AW_AIC: ${{ needs.agent.outputs.aic }}
	GH_AW_THREAT_DETECTION_AIC: ${{ needs.detection.outputs.aic }}
	GH_AW_MAX_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_MAX_AI_CREDITS \|\| '1000' }}
	GH_AW_DEFAULT_CHECKOUT_USES_TRIGGER_REF: "true"
	GH_AW_LOCKDOWN_CHECK_FAILED: ${{ needs.activation.outputs.lockdown_check_failed }}
	GH_AW_OAUTH_TOKEN_CHECK_FAILED: ${{ needs.activation.outputs.oauth_token_check_failed }}
	GH_AW_STALE_LOCK_FILE_FAILED: ${{ needs.activation.outputs.stale_lock_file_failed }}
	GH_AW_DAILY_AI_CREDITS_EXCEEDED: ${{ needs.activation.outputs.daily_ai_credits_exceeded }}
	GH_AW_DAILY_AI_CREDITS_GUARDRAIL_STATUS: ${{ needs.activation.outputs.daily_ai_credits_guardrail_status }}
	GH_AW_DAILY_AI_CREDITS_GUARDRAIL_ERROR: ${{ needs.activation.outputs.daily_ai_credits_guardrail_error }}
	GH_AW_DAILY_AI_CREDITS_TOTAL: ${{ needs.activation.outputs.daily_ai_credits_total }}
	GH_AW_DAILY_AI_CREDITS_ESTIMATED: ${{ needs.activation.outputs.daily_ai_credits_estimated }}
	GH_AW_DAILY_AI_CREDITS_THRESHOLD: ${{ needs.activation.outputs.daily_ai_credits_threshold }}
	GH_AW_DAILY_AI_CREDITS_CONTINUE_ON_ERROR: "false"
	GH_AW_SAFE_OUTPUT_MESSAGES: "{\"footer\":\"\\u003e 🐍 [{workflow_name}]({run_url}) — Powered by Pydantic AI{ai_credits_suffix}{history_link}\",\"runStarted\":\"🐍 Pydantic AI initializing... [{workflow_name}]({run_url}) begins on this {event_type}...\",\"runSuccess\":\"🐍 [{workflow_name}]({run_url}) Pydantic AI delivered.\",\"runFailure\":\"⚠️ [{workflow_name}]({run_url}) {status}. Pydantic AI encountered unexpected challenges...\"}"
	GH_AW_GROUP_REPORTS: "false"
	GH_AW_FAILURE_REPORT_AS_ISSUE: "true"
	GH_AW_MISSING_TOOL_REPORT_AS_FAILURE: "true"
	GH_AW_MISSING_DATA_REPORT_AS_FAILURE: "true"
	GH_AW_TIMEOUT_MINUTES: "10"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'handle_agent_failure.cjs'));
	await main();
	- name: Report failed jobs
	id: report_failed_jobs
	if: always()
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_JOB_RESULTS: ${{ toJSON(needs) }}
	GH_AW_JOB_DISPLAY_NAMES: "{\"activation\":\"Activation\",\"agent\":\"Agent\",\"check_token_telemetry\":\"Check token telemetry\",\"conclusion\":\"Conclusion\",\"detection\":\"Detection\",\"evals\":\"Evaluations\",\"pre_activation\":\"Pre-activation\",\"push_evals_state\":\"Push evaluations state\",\"push_experiments_state\":\"Push experiments state\",\"push_ledger_changes\":\"Push ledger changes\",\"push_repo_memory\":\"Push repository memory\",\"safe_outputs\":\"Safe outputs\",\"send_slack_message\":\"Send Slack message\",\"unlock\":\"Unlock\",\"update_cache_memory\":\"Update cache memory\",\"update_drive_memory\":\"Update drive memory\",\"upload_assets\":\"Upload assets\",\"upload_code_coverage\":\"Upload code coverage\",\"upload_code_scanning_sarif\":\"Upload code scanning results\"}"
	GH_AW_REPORT_FAILED_JOBS: "true"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'report_failed_jobs.cjs'));
	await main();
	- name: Update reaction comment with completion status
	id: conclusion
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_COMMENT_ID: ${{ needs.activation.outputs.comment_id }}
	GH_AW_COMMENT_REPO: ${{ needs.activation.outputs.comment_repo }}
	GH_AW_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_AGENT_CONCLUSION: ${{ needs.agent.result }}
	GH_AW_SAFE_OUTPUTS_RESULT: ${{ needs.safe_outputs.result }}
	GH_AW_DETECTION_CONCLUSION: ${{ needs.detection.outputs.detection_conclusion }}
	GH_AW_DETECTION_REASON: ${{ needs.detection.outputs.detection_reason }}
	GH_AW_SAFE_OUTPUT_MESSAGES: "{\"footer\":\"\\u003e 🐍 [{workflow_name}]({run_url}) — Powered by Pydantic AI{ai_credits_suffix}{history_link}\",\"runStarted\":\"🐍 Pydantic AI initializing... [{workflow_name}]({run_url}) begins on this {event_type}...\",\"runSuccess\":\"🐍 [{workflow_name}]({run_url}) Pydantic AI delivered.\",\"runFailure\":\"⚠️ [{workflow_name}]({run_url}) {status}. Pydantic AI encountered unexpected challenges...\"}"
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'notify_comment_error.cjs'));
	await main();
	- name: Collect usage artifact files
	if: always()
	continue-on-error: true
	env:
	GH_AW_DETECTION_JOB_RESULT: ${{ needs.detection.result }}
	GH_AW_DETECTION_CONCLUSION: ${{ needs.detection.outputs.detection_conclusion }}
	GH_AW_DETECTION_REASON: ${{ needs.detection.outputs.detection_reason }}
	run: bash "${RUNNER_TEMP}/gh-aw/actions/collect_usage_artifact_files.sh"
	- name: Generate usage activity summary and unified session
	if: always()
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_DAILY_AI_CREDITS_GUARDRAIL_STATUS: ${{ needs.activation.outputs.daily_ai_credits_guardrail_status }}
	GH_AW_DAILY_AI_CREDITS_EXCEEDED: ${{ needs.activation.outputs.daily_ai_credits_exceeded }}
	GH_AW_DAILY_AI_CREDITS_TOTAL: ${{ needs.activation.outputs.daily_ai_credits_total }}
	GH_AW_DAILY_AI_CREDITS_ESTIMATED: ${{ needs.activation.outputs.daily_ai_credits_estimated }}
	GH_AW_DAILY_AI_CREDITS_THRESHOLD: ${{ needs.activation.outputs.daily_ai_credits_threshold }}
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'generate_usage_artifacts.cjs'));
	await main();
	- name: Upload usage artifact
	id: upload-usage-artifact
	if: always()
	continue-on-error: true
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: usage
	path: \|
	/tmp/gh-aw/usage/aw_session.jsonl
	/tmp/gh-aw/usage/aw_info.json
	/tmp/gh-aw/usage/aw-info.jsonl
	/tmp/gh-aw/usage/agent_usage.json
	/tmp/gh-aw/usage/agent_usage.jsonl
	/tmp/gh-aw/usage/detection_usage.jsonl
	/tmp/gh-aw/usage/evals.jsonl
	/tmp/gh-aw/usage/graders/grader_manifest.json
	/tmp/gh-aw/usage/graders/grader_results.json
	/tmp/gh-aw/usage/github_rate_limits.jsonl
	/tmp/gh-aw/usage/agent/token_usage.jsonl
	/tmp/gh-aw/usage/agent/model-routing.jsonl
	/tmp/gh-aw/usage/agent/execution.json
	/tmp/gh-aw/usage/detection/token_usage.jsonl
	/tmp/gh-aw/usage/detection/execution.json
	/tmp/gh-aw/usage/detection/detection_result.json
	/tmp/gh-aw/usage/evals/token_usage.jsonl
	/tmp/gh-aw/usage/evals/execution.json
	/tmp/gh-aw/usage/experiment/state.jsonl
	/tmp/gh-aw/usage/experiment/state.json
	/tmp/gh-aw/usage/experiment/assignments.json
	/tmp/gh-aw/usage/activity/summary.json
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}
	- name: Wait before retrying usage artifact upload
	if: always() && steps.upload-usage-artifact.outcome == 'failure'
	run: sleep 10
	- name: Retry upload usage artifact
	id: upload-usage-artifact-retry
	if: always() && steps.upload-usage-artifact.outcome == 'failure'
	continue-on-error: true
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: usage
	path: \|
	/tmp/gh-aw/usage/aw_session.jsonl
	/tmp/gh-aw/usage/aw_info.json
	/tmp/gh-aw/usage/aw-info.jsonl
	/tmp/gh-aw/usage/agent_usage.json
	/tmp/gh-aw/usage/agent_usage.jsonl
	/tmp/gh-aw/usage/detection_usage.jsonl
	/tmp/gh-aw/usage/evals.jsonl
	/tmp/gh-aw/usage/graders/grader_manifest.json
	/tmp/gh-aw/usage/graders/grader_results.json
	/tmp/gh-aw/usage/github_rate_limits.jsonl
	/tmp/gh-aw/usage/agent/token_usage.jsonl
	/tmp/gh-aw/usage/agent/model-routing.jsonl
	/tmp/gh-aw/usage/agent/execution.json
	/tmp/gh-aw/usage/detection/token_usage.jsonl
	/tmp/gh-aw/usage/detection/execution.json
	/tmp/gh-aw/usage/detection/detection_result.json
	/tmp/gh-aw/usage/evals/token_usage.jsonl
	/tmp/gh-aw/usage/evals/execution.json
	/tmp/gh-aw/usage/experiment/state.jsonl
	/tmp/gh-aw/usage/experiment/state.json
	/tmp/gh-aw/usage/experiment/assignments.json
	/tmp/gh-aw/usage/activity/summary.json
	if-no-files-found: ignore
	overwrite: true
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}

	detection:
	name: detection
	needs:
	- activation
	- agent
	if: always() && needs.agent.result != 'skipped'
	runs-on: ubuntu-latest
	# Permissions for the detection job (workflow permissions default to none).
	permissions:
	contents: read
	timeout-minutes: 10
	env:
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	outputs:
	aic: ${{ steps.parse_detection_token_usage.outputs.aic }}
	detection_conclusion: ${{ steps.detection_conclusion.outputs.conclusion }}
	detection_reason: ${{ steps.detection_conclusion.outputs.reason }}
	detection_success: ${{ steps.detection_conclusion.outputs.success }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	trace-id: ${{ needs.activation.outputs.setup-trace-id }}
	parent-span-id: ${{ needs.activation.outputs.setup-parent-span-id \|\| needs.activation.outputs.setup-span-id }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Download activation artifact
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	name: activation
	path: /tmp/gh-aw
	- name: Download agent output artifact
	id: download-agent-output
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	pattern: "{agent,agent-output-fallback}"
	merge-multiple: true
	path: /tmp/gh-aw/
	- name: Setup agent output environment variable
	id: setup-agent-output-env
	if: steps.download-agent-output.outcome == 'success'
	run: \|
	mkdir -p /tmp/gh-aw/
	find "/tmp/gh-aw/" -type f -print
	if [ -f "/tmp/gh-aw/agent_output.json" ]; then
	echo "GH_AW_AGENT_OUTPUT=/tmp/gh-aw/agent_output.json" >> "$GITHUB_OUTPUT"
	fi
	- name: Checkout repository for patch context
	if: needs.agent.outputs.has_patch == 'true'
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	persist-credentials: false
	# --- Threat Detection ---
	- name: Initialize detection execution evidence
	run: \|
	mkdir -p "/tmp/gh-aw/threat-detection"
	evidence_tmp="/tmp/gh-aw/threat-detection/execution.json.tmp"
	printf '{"version":1,"component":"detection","run_id":%s,"run_attempt":%s,"state":"not_started"}\n' "$GITHUB_RUN_ID" "$GITHUB_RUN_ATTEMPT" > "$evidence_tmp"
	mv "$evidence_tmp" "/tmp/gh-aw/threat-detection/execution.json"
	- name: Clear inherited Copilot session state
	run: rm -rf /tmp/gh-aw/sandbox/agent/logs/copilot-session-state
	- name: Clean stale firewall files from agent artifact
	run: \|
	rm -rf /tmp/gh-aw/sandbox/firewall/logs
	rm -rf /tmp/gh-aw/sandbox/firewall/audit
	- name: Download container images
	run: bash "${RUNNER_TEMP}/gh-aw/actions/download_docker_images.sh" ghcr.io/github/gh-aw-firewall/agent:0.28.50@sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620 ghcr.io/github/gh-aw-firewall/api-proxy:0.28.50@sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965 ghcr.io/github/gh-aw-firewall/squid:0.28.50@sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9
	- name: Check if detection needed
	id: detection_guard
	if: always()
	env:
	OUTPUT_TYPES: ${{ needs.agent.outputs.output_types }}
	HAS_PATCH: ${{ needs.agent.outputs.has_patch }}
	run: \|
	if [[ -n "$OUTPUT_TYPES" \|\| "$HAS_PATCH" == "true" ]]; then
	echo "run_detection=true" >> "$GITHUB_OUTPUT"
	echo "Detection will run: output_types=$OUTPUT_TYPES, has_patch=$HAS_PATCH"
	else
	echo "run_detection=false" >> "$GITHUB_OUTPUT"
	echo "Detection skipped: no agent outputs or patches to analyze"
	fi
	- name: Clear MCP Config for detection
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	run: \|
	rm -f "${RUNNER_TEMP}/gh-aw/mcp-config/mcp-servers.json"
	rm -f "$HOME/.copilot/mcp-config.json"
	rm -f "$GITHUB_WORKSPACE/.gemini/settings.json"
	- name: Prepare threat detection files
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	run: \|
	bash "${RUNNER_TEMP}/gh-aw/actions/prepare_threat_detection_files.sh"
	- name: Setup threat detection
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	WORKFLOW_NAME: "Smoke Pydantic AI"
	WORKFLOW_DESCRIPTION: "Smoke test workflow that validates Pydantic AI engine functionality"
	HAS_PATCH: ${{ needs.agent.outputs.has_patch }}
	GH_AW_DETECTION_CONTINUE_ON_ERROR: "true"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'setup_threat_detection.cjs'));
	await main();
	- name: Ensure threat-detection directory and log
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	run: \|
	mkdir -p /tmp/gh-aw/threat-detection
	touch /tmp/gh-aw/threat-detection/detection.log
	rm -f /tmp/gh-aw/step-summary.md
	touch /tmp/gh-aw/step-summary.md
	- name: Setup Node.js
	uses: actions/setup-node@949feb2413d6458794dcd2491c4babbbce0c15c1 # v7.1.0
	with:
	node-version: '24'
	package-manager-cache: false
	- name: Install GitHub Copilot CLI
	run: bash "${RUNNER_TEMP}/gh-aw/actions/install_copilot_cli.sh"
	env:
	GH_HOST: github.com
	GH_AW_COMPILED_VERSION: dev
	- name: Install AWF binary
	run: bash "${RUNNER_TEMP}/gh-aw/actions/install_awf_binary.sh" v0.28.50 --rootless
	- name: Execute GitHub Copilot CLI
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	continue-on-error: true
	id: detection_agentic_execution
	# Copilot CLI tool arguments (sorted):
	timeout-minutes: 10
	run: \|
	set -o pipefail
	printf '%s' "$(date +%s%3N)" > /tmp/gh-aw/agent_cli_start_ms.txt
	gh_aw_exit_code=0
	trap 'gh_aw_exit_code=$?; mkdir -p /tmp/gh-aw >/dev/null 2>&1 \|\| true; printf "%s" "$gh_aw_exit_code" > /tmp/gh-aw/agent_execution_exit_code.txt \|\| true; rm -f "$HOME/.copilot/settings.json"; if [ "$gh_aw_exit_code" -ne 0 ]; then echo "::error::Agent execution exited with code $gh_aw_exit_code"; fi' EXIT
	mkdir -p "$HOME/.copilot"
	printf '%s' '{"builtInAgents":{"rubberDuck":false},"enabledFeatureFlags":{"EXTENSIONS":false}}' > "$HOME/.copilot/settings.json"
	export XDG_CONFIG_HOME="$HOME"
	GH_AW_COPILOT_SRC="$(command -v copilot 2>/dev/null \|\| true)"
	if [ -z "$GH_AW_COPILOT_SRC" ] \|\| [ ! -x "$GH_AW_COPILOT_SRC" ]; then
	echo "GitHub Copilot CLI executable not found on PATH after installation" >&2
	exit 127
	fi
	GH_AW_COPILOT_BIN="${RUNNER_TEMP}/gh-aw/bin/copilot"
	mkdir -p "${RUNNER_TEMP}/gh-aw/bin"
	if [ "$GH_AW_COPILOT_SRC" != "$GH_AW_COPILOT_BIN" ]; then
	cp "$GH_AW_COPILOT_SRC" "$GH_AW_COPILOT_BIN"
	fi
	chmod 755 "$GH_AW_COPILOT_BIN"

	touch /tmp/gh-aw/step-summary.md
	GH_AW_NODE_BIN=$(command -v node 2>/dev/null \|\| true)
	export GH_AW_NODE_BIN
	export COPILOT_API_KEY="$COPILOT_DUMMY_BYOK"
	(umask 177 && touch /tmp/gh-aw/threat-detection/detection.log)
	GH_AW_MAX_AI_CREDITS="${GH_AW_MAX_AI_CREDITS:-400}"
	if [[ ! "$GH_AW_MAX_AI_CREDITS" =~ ^[0-9]+$ ]]; then
	GH_AW_MAX_AI_CREDITS="400"
	fi
	printf '%s\n' "{\"\$schema\":\"https://github.com/github/gh-aw-firewall/releases/download/v0.28.50/awf-config.schema.json\",\"network\":{\"allowDomains\":[\"api.business.githubcopilot.com\",\"api.enterprise.githubcopilot.com\",\"api.github.com\",\"api.githubcopilot.com\",\"api.individual.githubcopilot.com\",\"github.com\",\"host.docker.internal\",\"registry.npmjs.org\",\"telemetry.enterprise.githubcopilot.com\"]},\"apiProxy\":{\"enabled\":true,\"enableTokenSteering\":true,\"maxRuns\":500,\"maxAiCredits\":${GH_AW_MAX_AI_CREDITS},\"maxCacheMisses\":5,\"models\":{\"agent\":[\"sonnet-6x\",\"gpt-6\",\"gpt-5.4\",\"gpt-5.5\",\"gpt-5.6\",\"gpt-5.3\",\"gemini-pro\",\"any\"],\"antigravity\":[\"copilot/antigravity\",\"google/antigravity\",\"gemini/antigravity\"],\"any\":[\"copilot/\",\"anthropic/\",\"openai/\",\"google/\",\"gemini/\"],\"auto\":[\"copilot/auto\",\"large\"],\"claude\":[\"agent\"],\"codex\":[\"agent\"],\"coding\":[\"copilot/gpt-5codex\",\"openai/gpt-5codex\",\"gpt-5-codex\",\"kimi\"],\"computer-use\":[\"copilot/computer-use\",\"google/computer-use\",\"gemini/computer-use\",\"openai/computer-use\"],\"copilot\":[\"agent\"],\"deep-research\":[\"copilot/deep-research\",\"copilot/o3-deep-research\",\"copilot/o4-mini-deep-research\",\"google/deep-research\",\"gemini/deep-research\",\"openai/o3-deep-research\",\"openai/o4-mini-deep-research\"],\"detection\":[\"small\"],\"evals\":[\"small\"],\"fable\":[\"copilot/fable\",\"anthropic/fable\"],\"gemini\":[\"agent\"],\"gemini-3-flash\":[\"copilot/gemini-3flash\",\"google/gemini-3flash\",\"gemini/gemini-3flash\"],\"gemini-3-pro\":[\"copilot/gemini-3pro\",\"google/gemini-3pro\",\"google/nano-banana\",\"gemini/gemini-3pro\"],\"gemini-3.1-flash\":[\"copilot/gemini-3.1flash\",\"google/gemini-3.1flash\",\"gemini/gemini-3.1flash\"],\"gemini-3.1-pro\":[\"copilot/gemini-3.1pro\",\"google/gemini-3.1pro\",\"gemini/gemini-3.1pro\"],\"gemini-3.5-flash\":[\"copilot/gemini-3.5flash\",\"google/gemini-3.5flash\",\"gemini/gemini-3.5flash\"],\"gemini-3.6-flash\":[\"copilot/gemini-3.6flash\",\"google/gemini-3.6flash\",\"gemini/gemini-3.6flash\"],\"gemini-3.7-flash\":[\"copilot/gemini-3.7flash\",\"google/gemini-3.7flash\",\"gemini/gemini-3.7flash\"],\"gemini-3.8-flash\":[\"copilot/gemini-3.8flash\",\"google/gemini-3.8flash\",\"gemini/gemini-3.8flash\"],\"gemini-flash\":[\"copilot/gemini-flash\",\"google/gemini-flash\",\"gemini/gemini-flash\"],\"gemini-flash-lite\":[\"copilot/gemini-flashlite\",\"google/gemini-flashlite\",\"gemini/gemini-flashlite\"],\"gemini-omni\":[\"copilot/gemini-omni\",\"google/gemini-omni\",\"gemini/gemini-omni\"],\"gemini-pro\":[\"copilot/gemini-pro\",\"google/gemini-pro\",\"gemini/gemini-pro\"],\"gemma\":[\"copilot/gemma\",\"google/gemma\",\"gemini/gemma\"],\"gpt-5\":[\"copilot/gpt-5\",\"openai/gpt-5\"],\"gpt-5-codex\":[\"copilot/gpt-5codex\",\"openai/gpt-5codex\"],\"gpt-5-mini\":[\"copilot/gpt-5mini\",\"openai/gpt-5mini\"],\"gpt-5-nano\":[\"copilot/gpt-5nano\",\"openai/gpt-5nano\"],\"gpt-5-pro\":[\"copilot/gpt-5pro\",\"openai/gpt-5pro\"],\"gpt-5.1\":[\"copilot/gpt-5.1\",\"openai/gpt-5.1\"],\"gpt-5.2\":[\"copilot/gpt-5.2\",\"openai/gpt-5.2\"],\"gpt-5.3\":[\"copilot/gpt-5.3\",\"openai/gpt-5.3\"],\"gpt-5.4\":[\"copilot/gpt-5.4\",\"openai/gpt-5.4\"],\"gpt-5.5\":[\"copilot/gpt-5.5\",\"openai/gpt-5.5\"],\"gpt-5.6\":[\"copilot/gpt-5.6\",\"openai/gpt-5.6\"],\"gpt-6\":[\"copilot/gpt-6\",\"openai/gpt-6\"],\"grok\":[\"copilot/grok\",\"openai/grok\"],\"haiku\":[\"copilot/haiku\",\"anthropic/haiku\"],\"image-generation\":[\"copilot/gpt-image\",\"openai/gpt-image\",\"openai/chatgpt-image\",\"copilot/gemini-image\",\"google/gemini-image\",\"gemini/gemini-image\",\"google/imagen\"],\"kimi\":[\"copilot/kimi\",\"openai/kimi\"],\"kiwi\":[\"copilot/kiwi\",\"openai/kiwi\"],\"large\":[\"sonnet\",\"gpt-6\",\"gpt-5-pro\",\"gpt-5\",\"gemini-pro\"],\"lyria\":[\"google/lyria\",\"gemini/lyria\",\"copilot/lyria\"],\"mai-code\":[\"copilot/MAI-Code\",\"copilot/mai-code\",\"openai/MAI-Code\"],\"mai-code-1-flash-picker\":[\"copilot/MAI-Code-1-Flash-picker\",\"copilot/mai-code-1-flash-picker\",\"openai/MAI-Code-1-Flash-picker\"],\"mini\":[\"haiku\",\"gpt-5-mini\",\"gpt-5-nano\",\"gemini-flash-lite\"],\"nano-banana\":[\"copilot/nano-banana\",\"google/nano-banana\",\"gemini/nano-banana\"],\"opus\":[\"copilot/opus\",\"anthropic/opus\"],\"opusplan\":[\"opus?effort=high\"],\"raptor-mini\":[\"copilot/raptor\",\"openai/raptor\"],\"reasoning\":[\"copilot/o1\",\"copilot/o3\",\"copilot/o4\",\"openai/o1\",\"openai/o3\",\"openai/o4\"],\"robotics\":[\"copilot/robotics\",\"google/robotics\",\"gemini/robotics\"],\"small\":[\"mini\"],\"small-agent\":[\"haiku\",\"gpt-5-mini\",\"gemini-flash\"],\"sonnet\":[\"copilot/sonnet\",\"anthropic/sonnet\"],\"sonnet-6x\":[\"copilot/sonnet-4.5\",\"copilot/sonnet-4.6\",\"copilot/sonnet-5\",\"copilot/sonnet-4-5-\",\"anthropic/sonnet-4-5-\",\"copilot/sonnet-4-6\",\"anthropic/sonnet-4-6\",\"anthropic/sonnet-5\"],\"summarization\":[\"haiku\",\"gpt-5-mini\",\"gemini-flash-lite\",\"mini\"],\"veo\":[\"google/veo\",\"gemini/veo\"],\"vision\":[\"copilot/gemini-image\",\"google/gemini-image\",\"gemini/gemini-image\",\"copilot/gemini-flash\",\"google/gemini-flash\",\"gemini/gemini-flash*\"]}},\"container\":{\"imageTag\":\"0.28.50,squid=sha256:cc9b6b979edf4aafbb3811c2bdc4891039d5346473afa88e304aa692167004f9,agent=sha256:91fe4af8373c723d4d2e0706a0c35d310c2eeadaea5e0738c725b3861042f620,api-proxy=sha256:11f12bcd3dde377ba822df7c670d6b937e9e0cebc46218946d4edc972d7fd965,cli-proxy=sha256:afa9c2c1ef66009ab88eee8af0dd43a31b6cc5a481a990d0b1b93ebda4f744ce\"},\"logging\":{\"proxyLogsDir\":\"/tmp/gh-aw/sandbox/firewall/logs\",\"auditDir\":\"/tmp/gh-aw/sandbox/firewall/audit\"}}" > "${RUNNER_TEMP}/gh-aw/awf-config.json"
	cp "${RUNNER_TEMP}/gh-aw/awf-config.json" /tmp/gh-aw/awf-config.json
	export GH_AW_MODELS_JSON_PATH="/tmp/gh-aw/models.json"
	GH_AW_DOCKER_HOST=""
	if [[ "${DOCKER_HOST:-}" =~ ^tcp:// ]]; then
	GH_AW_DOCKER_HOST="${DOCKER_HOST}"
	fi
	if [[ "${DOCKER_HOST:-}" =~ ^tcp:// ]]; then
	_GH_AW_CHROOT_JSON=$(jq -c --arg src "${RUNNER_TEMP}/gh-aw" --arg user "$(id -un)" --argjson uid "$(id -u)" --argjson gid "$(id -g)" --arg home "${RUNNER_TEMP}/gh-aw/home" '.chroot={"binariesSourcePath":$src,"identity":{"user":$user,"uid":$uid,"gid":$gid,"home":$home}}' "${RUNNER_TEMP}/gh-aw/awf-config.json") \|\| { echo "chroot config patch failed" >&2; exit 1; }
	printf '%s\n' "$_GH_AW_CHROOT_JSON" > "${RUNNER_TEMP}/gh-aw/awf-config.json"
	fi
	GH_AW_TOOL_CACHE_MOUNT=""
	GH_AW_TOOL_CACHE="${RUNNER_TOOL_CACHE:?RUNNER_TOOL_CACHE must be set}"
	if [ -d "$GH_AW_TOOL_CACHE" ]; then
	if [[ "$GH_AW_TOOL_CACHE" != /opt/* ]]; then
	GH_AW_TOOL_CACHE_MOUNT="$GH_AW_TOOL_CACHE:$GH_AW_TOOL_CACHE:ro"
	fi
	fi
	# shellcheck disable=SC1003,SC2016,SC2086
	mkdir -p "/tmp/gh-aw/threat-detection"
	evidence_tmp="/tmp/gh-aw/threat-detection/execution.json.tmp"
	printf '{"version":1,"component":"detection","run_id":%s,"run_attempt":%s,"state":"started"}\n' "$GITHUB_RUN_ID" "$GITHUB_RUN_ATTEMPT" > "$evidence_tmp"
	mv "$evidence_tmp" "/tmp/gh-aw/threat-detection/execution.json"
	export GH_AW_AWF_EXECUTION_COMPONENT="detection"
	export GH_AW_AWF_EXECUTION_EVIDENCE_FILE="/tmp/gh-aw/threat-detection/execution.json"
	GH_AW_AWF_ENGINE_NAME=copilot \
	GH_AW_AWF_HARNESS_MARKER='[copilot-harness]' \
	GH_AW_AWF_LOG_FILE=/tmp/gh-aw/threat-detection/detection.log \
	GH_AW_AWF_ATTEMPT_LOG_NAME=copilot \
	bash "${RUNNER_TEMP}/gh-aw/actions/run_awf_with_startup_retries.sh" -- \
	awf --config "${RUNNER_TEMP}/gh-aw/awf-config.json" --container-workdir "${GITHUB_WORKSPACE}" --mount "${RUNNER_TEMP}/gh-aw:${RUNNER_TEMP}/gh-aw:ro" --mount "${RUNNER_TEMP}/gh-aw:/host${RUNNER_TEMP}/gh-aw:ro" ${GH_AW_TOOL_CACHE_MOUNT:+--mount "$GH_AW_TOOL_CACHE_MOUNT"} ${GH_AW_DOCKER_HOST:+--docker-host "$GH_AW_DOCKER_HOST"} --env-all --exclude-env ACTIONS_ID_TOKEN_REQUEST_TOKEN --exclude-env ACTIONS_ID_TOKEN_REQUEST_URL --exclude-env COPILOT_GITHUB_TOKEN --exclude-env GH_AW_OTLP_ENDPOINTS --exclude-env OTEL_EXPORTER_OTLP_ENDPOINT --exclude-env OTEL_EXPORTER_OTLP_HEADERS --mount /tmp/gh-aw:/tmp/gh-aw:rw --log-level info --session-state-dir /tmp/gh-aw/sandbox/agent/session-state --skip-pull \
	-- /bin/bash -c 'set +o histexpand; : "${RUNNER_TOOL_CACHE:?RUNNER_TOOL_CACHE must be set}"; GH_AW_TOOL_CACHE="$RUNNER_TOOL_CACHE"; GH_AW_TOOL_BINS="$(find "$GH_AW_TOOL_CACHE" -maxdepth 5 -type d -name bin 2>/dev/null \| tr "\n" ":")"; GH_AW_TOOL_BINS="${GH_AW_TOOL_BINS%:}"; export PATH="$PATH${GH_AW_TOOL_BINS:+:}$GH_AW_TOOL_BINS"; [ -n "$GOROOT" ] && export PATH="$GOROOT/bin:$PATH" \|\| true; [ -n "$ERLANG_HOME" ] && export PATH="$ERLANG_HOME/bin:$PATH" \|\| true && GH_AW_NODE_EXEC="${GH_AW_NODE_BIN:-}"; if [ -z "$GH_AW_NODE_EXEC" ] \|\| [ ! -x "$GH_AW_NODE_EXEC" ]; then GH_AW_NODE_EXEC="$(command -v node 2>/dev/null \|\| true)"; fi; if [ -z "$GH_AW_NODE_EXEC" ]; then echo "node runtime missing on this runner — check runtimes.node in workflow YAML" >&2; exit 127; fi; GH_AW_NPM_GLOBAL_ROOT="$(npm root -g 2>/dev/null \|\| true)"; if [ -n "$GH_AW_NPM_GLOBAL_ROOT" ]; then export NODE_PATH="${GH_AW_NPM_GLOBAL_ROOT}${NODE_PATH:+:${NODE_PATH}}"; fi; "$GH_AW_NODE_EXEC" "${RUNNER_TEMP}/gh-aw/actions/copilot_harness.cjs" "${RUNNER_TEMP}/gh-aw/bin/copilot" --add-dir /tmp/gh-aw/ --log-level all --log-dir /tmp/gh-aw/sandbox/agent/logs/ --disable-builtin-mcps --no-ask-user --allow-all-tools --deny-tool workflow --add-dir "${GITHUB_WORKSPACE}" --prompt-file /tmp/gh-aw/aw-prompts/prompt.txt'
	env:
	GITHUB_STEP_SUMMARY: /tmp/gh-aw/step-summary.md
	AWF_REFLECT_ENABLED: 1
	COPILOT_AGENT_RUNNER_TYPE: STANDALONE
	COPILOT_DUMMY_BYOK: dummy-byok-key-for-offline-mode
	COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
	COPILOT_MODEL: detection
	GH_AW_HARNESS_MAX_RETRIES: 0
	GH_AW_LLM_PROVIDER: github
	GH_AW_MAX_AI_CREDITS: ${{ vars.GH_AW_DEFAULT_DETECTION_MAX_AI_CREDITS \|\| '400' }}
	GH_AW_MAX_TURNS: ${{ vars.GH_AW_DEFAULT_MAX_TURNS \|\| '' }}
	GH_AW_PHASE: detection
	GH_AW_PROMPT: /tmp/gh-aw/aw-prompts/prompt.txt
	GH_AW_TIMEOUT_MINUTES: 10
	GH_AW_VERSION: dev
	GITHUB_API_URL: ${{ github.api_url }}
	GITHUB_AW: true
	GITHUB_COPILOT_INTEGRATION_ID: agentic-workflows
	GITHUB_COPILOT_PROMPT_MODE_EXTENSIONS: false
	GITHUB_HEAD_REF: ${{ github.head_ref }}
	GITHUB_REF_NAME: ${{ github.ref_name }}
	GITHUB_SERVER_URL: ${{ github.server_url }}
	GITHUB_WORKSPACE: ${{ github.workspace }}
	GIT_AUTHOR_EMAIL: github-actions[bot]@users.noreply.github.com
	GIT_AUTHOR_NAME: github-actions[bot]
	GIT_COMMITTER_EMAIL: github-actions[bot]@users.noreply.github.com
	GIT_COMMITTER_NAME: github-actions[bot]
	RUNNER_TEMP: ${{ runner.temp }}
	TRACEPARENT: ${{ env.GITHUB_AW_OTEL_TRACE_ID != '' && env.GITHUB_AW_OTEL_PARENT_SPAN_ID != '' && format('00-{0}-{1}-01', env.GITHUB_AW_OTEL_TRACE_ID, env.GITHUB_AW_OTEL_PARENT_SPAN_ID) \|\| '' }}
	- name: Echo detection step summary
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	continue-on-error: true
	run: \|
	if [ -s /tmp/gh-aw/step-summary.md ]; then
	cat /tmp/gh-aw/step-summary.md
	fi
	- name: Render detection log
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'render_detection_log.cjs'));
	await main();
	- name: Copy detection firewall logs
	if: always() && steps.detection_guard.outputs.run_detection == 'true'
	continue-on-error: true
	run: \|
	mkdir -p /tmp/gh-aw/threat-detection/sandbox/firewall
	if [ -d /tmp/gh-aw/sandbox/firewall/logs ]; then mkdir -p /tmp/gh-aw/threat-detection/sandbox/firewall/logs && cp -r /tmp/gh-aw/sandbox/firewall/logs/. /tmp/gh-aw/threat-detection/sandbox/firewall/logs/; fi
	if [ -d /tmp/gh-aw/sandbox/firewall/audit ]; then mkdir -p /tmp/gh-aw/threat-detection/sandbox/firewall/audit && cp -r /tmp/gh-aw/sandbox/firewall/audit/. /tmp/gh-aw/threat-detection/sandbox/firewall/audit/; fi
	- name: Parse threat detection token usage for step summary
	id: parse_detection_token_usage
	if: always()
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_TOKEN_USAGE_SUMMARY_TITLE: Threat Detection Token Usage
	GH_AW_PHASE: detection
	GH_AW_AGENT_USAGE_PATH: /tmp/gh-aw/threat-detection/detection_usage.json
	GH_AW_AGENT_USAGE_JSONL_PATH: /tmp/gh-aw/threat-detection/detection_usage.jsonl
	GH_AW_WRITE_EMPTY_USAGE: "true"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'parse_token_usage.cjs'));
	await main();
	- name: Upload threat detection log
	if: always()
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: detection
	path: \|
	/tmp/gh-aw/threat-detection/detection.log
	/tmp/gh-aw/threat-detection/execution.json
	/tmp/gh-aw/threat-detection/detection_usage.json
	/tmp/gh-aw/threat-detection/detection_usage.jsonl
	/tmp/gh-aw/threat-detection/sandbox/firewall/logs/
	/tmp/gh-aw/threat-detection/sandbox/firewall/audit/
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}
	- name: Parse and conclude threat detection
	id: detection_conclusion
	if: always()
	continue-on-error: true
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	RUN_DETECTION: ${{ steps.detection_guard.outputs.run_detection }}
	DETECTION_AGENTIC_EXECUTION_OUTCOME: ${{ steps.detection_agentic_execution.outcome }}
	GH_AW_DETECTION_CONTINUE_ON_ERROR: "true"
	with:
	script: \|
	try {
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'parse_threat_detection_results.cjs'));
	await main();
	} catch (loadErr) {
	const continueOnError = process.env.GH_AW_DETECTION_CONTINUE_ON_ERROR !== 'false';
	const detectionExecutionFailed = process.env.DETECTION_AGENTIC_EXECUTION_OUTCOME === 'failure';
	const msg = 'ERR_SYSTEM: \u274C Unexpected error loading threat detection module: ' + (loadErr && loadErr.message ? loadErr.message : String(loadErr));
	core.error(msg);
	core.setOutput('reason', 'parse_error');
	if (continueOnError && !detectionExecutionFailed) {
	core.warning('\u26A0\uFE0F ' + msg);
	core.setOutput('conclusion', 'warning');
	core.setOutput('success', 'false');
	} else {
	core.setOutput('conclusion', 'failure');
	core.setOutput('success', 'false');
	core.setFailed(msg);
	}
	}

	pre_activation:
	name: pre_activation
	if: >
	((github.event_name != 'pull_request' \|\| github.event.pull_request.head.repo.id == github.repository_id) &&
	((github.event_name != 'pull_request' && github.event_name != 'pull_request_review') \|\| github.event.pull_request.stack == null \|\|
	github.event.pull_request.stack.position == github.event.pull_request.stack.size)) && (github.event_name != 'pull_request' \|\|
	github.event.action != 'labeled' \|\| github.event.label.name == 'water')
	runs-on: ubuntu-slim
	# Permissions for the pre_activation job (workflow permissions default to none).
	permissions:
	contents: read
	pull-requests: read
	env:
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	outputs:
	activated: ${{ steps.check_membership.outputs.is_team_member == 'true' && steps.check_command_position.outputs.command_position_ok == 'true' }}
	matched_command: ${{ steps.check_command_position.outputs.matched_command }}
	setup-parent-span-id: ${{ steps.setup.outputs.parent-span-id \|\| steps.setup.outputs.span-id }}
	setup-span-id: ${{ steps.setup.outputs.span-id }}
	setup-trace-id: ${{ steps.setup.outputs.trace-id }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Check command position
	id: check_command_position
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_COMMANDS: "[\"smoke-pydantic\"]"
	with:
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'check_command_position.cjs'));
	await main();
	- name: Check team membership for command workflow
	id: check_membership
	if: steps.check_command_position.outputs.command_position_ok == 'true'
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_REQUIRED_ROLES: "admin,maintainer,write"
	with:
	github-token: ${{ secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit);
	const { main } = require(path.join(actionsDir, 'check_membership.cjs'));
	await main();

	safe_outputs:
	name: safe_outputs
	needs:
	- activation
	- agent
	- detection
	if: (!cancelled()) && needs.agent.result != 'skipped' && needs.detection.result == 'success'
	runs-on: ubuntu-slim
	# Permissions for the safe_outputs job (workflow permissions default to none).
	permissions:
	issues: write
	pull-requests: write
	timeout-minutes: 45
	env:
	GH_AW_AGENT_AIC: ${{ needs.agent.outputs.aic }}
	GH_AW_AIC: ${{ needs.agent.outputs.aic }}
	GH_AW_AMBIENT_CONTEXT: ${{ needs.agent.outputs.ambient_context }}
	GH_AW_CALLER_WORKFLOW_ID: "${{ github.repository }}/smoke-pydantic"
	GH_AW_COMMANDS: "[\"smoke-pydantic\"]"
	GH_AW_DETECTION_CONCLUSION: ${{ needs.detection.outputs.detection_conclusion }}
	GH_AW_DETECTION_REASON: ${{ needs.detection.outputs.detection_reason }}
	GH_AW_ENGINE_ID: "pydantic-ai"
	GH_AW_ENGINE_MODEL: "copilot/auto"
	GH_AW_ENGINE_VERSION: "0.35.0"
	GH_AW_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
	GH_AW_PROJECT_UTC: "-08:00"
	GH_AW_RUNTIME_FEATURES: ${{ vars.GH_AW_RUNTIME_FEATURES }}
	GH_AW_SAFE_OUTPUT_MESSAGES: "{\"footer\":\"\\u003e 🐍 [{workflow_name}]({run_url}) — Powered by Pydantic AI{ai_credits_suffix}{history_link}\",\"runStarted\":\"🐍 Pydantic AI initializing... [{workflow_name}]({run_url}) begins on this {event_type}...\",\"runSuccess\":\"🐍 [{workflow_name}]({run_url}) Pydantic AI delivered.\",\"runFailure\":\"⚠️ [{workflow_name}]({run_url}) {status}. Pydantic AI encountered unexpected challenges...\"}"
	GH_AW_THREAT_DETECTION_AIC: ${{ needs.detection.outputs.aic }}
	GH_AW_WORKFLOW_EMOJI: "🐍"
	GH_AW_WORKFLOW_ID: "smoke-pydantic"
	GH_AW_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_WORKFLOW_SOURCE_URL: "${{ github.server_url }}/${{ github.repository }}/blob/${{ github.ref_name }}/.github/workflows/smoke-pydantic.md"
	outputs:
	code_push_failure_count: ${{ steps.process_safe_outputs.outputs.code_push_failure_count }}
	code_push_failure_errors: ${{ steps.process_safe_outputs.outputs.code_push_failure_errors }}
	comment_id: ${{ steps.process_safe_outputs.outputs.comment_id }}
	comment_url: ${{ steps.process_safe_outputs.outputs.comment_url }}
	create_discussion_error_count: ${{ steps.process_safe_outputs.outputs.create_discussion_error_count }}
	create_discussion_errors: ${{ steps.process_safe_outputs.outputs.create_discussion_errors }}
	created_issue_number: ${{ steps.process_safe_outputs.outputs.created_issue_number }}
	created_issue_url: ${{ steps.process_safe_outputs.outputs.created_issue_url }}
	process_safe_outputs_items_applied: ${{ steps.process_safe_outputs.outputs.items_applied }}
	process_safe_outputs_items_cancelled: ${{ steps.process_safe_outputs.outputs.items_cancelled }}
	process_safe_outputs_items_deferred: ${{ steps.process_safe_outputs.outputs.items_deferred }}
	process_safe_outputs_items_failed: ${{ steps.process_safe_outputs.outputs.items_failed }}
	process_safe_outputs_items_skipped: ${{ steps.process_safe_outputs.outputs.items_skipped }}
	process_safe_outputs_items_succeeded: ${{ steps.process_safe_outputs.outputs.items_succeeded }}
	process_safe_outputs_items_warnings: ${{ steps.process_safe_outputs.outputs.items_warnings }}
	process_safe_outputs_processed_count: ${{ steps.process_safe_outputs.outputs.processed_count }}
	process_safe_outputs_status: ${{ steps.process_safe_outputs.outputs.status }}
	steps:
	- name: Checkout actions folder
	uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
	with:
	repository: github/gh-aw
	sparse-checkout: \|
	actions
	fetch-depth: 1
	clean: false
	persist-credentials: false
	- name: Setup Scripts
	id: setup
	uses: ./actions/setup
	with:
	destination: ${{ runner.temp }}/gh-aw/actions
	job-name: ${{ github.job }}
	trace-id: ${{ needs.activation.outputs.setup-trace-id }}
	parent-span-id: ${{ needs.activation.outputs.setup-parent-span-id \|\| needs.activation.outputs.setup-span-id }}
	env:
	GH_AW_SETUP_WORKFLOW_NAME: "Smoke Pydantic AI"
	GH_AW_CURRENT_WORKFLOW_REF: ${{ github.repository }}/.github/workflows/smoke-pydantic.lock.yml@${{ github.ref }}
	GH_AW_INFO_VERSION: "0.35.0"
	GH_AW_INFO_ENGINE_ID: "pydantic-ai"
	GH_AW_SETUP_AW_CONTEXT: ${{ inputs.aw_context }}
	- name: Mask OTLP telemetry headers
	run: bash "${RUNNER_TEMP}/gh-aw/actions/mask_otlp_headers.sh"
	- name: Download agent output artifact
	id: download-agent-output
	continue-on-error: true
	uses: actions/download-artifact@9000827ccba6bdab643e8b6fd33ac0654aef8333 # v8.0.2
	with:
	pattern: "{agent,agent-output-fallback}"
	merge-multiple: true
	path: /tmp/gh-aw/
	- name: Setup agent output environment variable
	id: setup-agent-output-env
	if: steps.download-agent-output.outcome == 'success'
	run: \|
	mkdir -p /tmp/gh-aw/
	find "/tmp/gh-aw/" -type f -print
	if [ -f "/tmp/gh-aw/agent_output.json" ]; then
	echo "GH_AW_AGENT_OUTPUT=/tmp/gh-aw/agent_output.json" >> "$GITHUB_OUTPUT"
	fi
	- name: Configure GH_HOST for enterprise compatibility
	id: ghes-host-config
	shell: bash
	run: \| # zizmor: ignore[github-env] - GITHUB_SERVER_URL is set by GitHub Actions, not user input.
	# Derive GH_HOST from GITHUB_SERVER_URL so the gh CLI targets the correct
	# GitHub instance (GHES/GHEC). On github.com this is a harmless no-op.
	GH_HOST="${GITHUB_SERVER_URL#https://}"
	GH_HOST="${GH_HOST#http://}"
	echo "GH_HOST=${GH_HOST}" >> "$GITHUB_ENV"
	- name: Process Safe Outputs
	id: process_safe_outputs
	uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
	env:
	GH_AW_AGENT_OUTPUT: ${{ steps.setup-agent-output-env.outputs.GH_AW_AGENT_OUTPUT }}
	GH_AW_COMMENT_ID: ${{ needs.activation.outputs.comment_id }}
	GH_AW_MENTIONS_GITHUB_TOKEN: ${{ github.token }}
	GH_AW_ALLOWED_DOMAINS: ".githubusercontent.com,.pythonhosted.org,127.0.0.1,::1,anaconda.org,api.snapcraft.io,app.renovatebot.com,appveyor.com,archive.ubuntu.com,azure.archive.ubuntu.com,badgen.net,binstar.org,bootstrap.pypa.io,circleci.com,codacy.com,codeclimate.com,codecov.io,codeload.github.com,conda.anaconda.org,conda.binstar.org,coveralls.io,crl.geotrust.com,crl.globalsign.com,crl.identrust.com,crl.sectigo.com,crl.thawte.com,crl.usertrust.com,crl.verisign.com,crl3.digicert.com,crl4.digicert.com,crls.ssl.com,deepsource.io,docs.github.com,drone.io,files.pythonhosted.org,github-cloud.githubusercontent.com,github-cloud.s3.amazonaws.com,github.blog,github.com,github.githubassets.com,img.shields.io,json-schema.org,json.schemastore.org,keyserver.ubuntu.com,lfs.github.com,localhost,objects.githubusercontent.com,ocsp.digicert.com,ocsp.geotrust.com,ocsp.globalsign.com,ocsp.identrust.com,ocsp.sectigo.com,ocsp.ssl.com,ocsp.thawte.com,ocsp.usertrust.com,ocsp.verisign.com,packagecloud.io,packages.cloud.google.com,packages.microsoft.com,patch-diff.githubusercontent.com,patchdiff.githubusercontent.com,pip.pypa.io,ppa.launchpad.net,pypi.org,pypi.python.org,raw.githubusercontent.com,readthedocs.io,readthedocs.org,renovatebot.com,repo.anaconda.com,repo.continuum.io,s.symcb.com,s.symcd.com,security.ubuntu.com,semaphoreci.com,shields.io,snyk.io,sonarcloud.io,sonarqube.com,travis-ci.com,ts-crl.ws.symantec.com,ts-ocsp.ws.symantec.com,www.googleapis.com"
	GITHUB_SERVER_URL: ${{ github.server_url }}
	GITHUB_API_URL: ${{ github.api_url }}
	GH_AW_SAFE_OUTPUTS_HANDLER_CONFIG: "{\"add_comment\":{\"hide_older_comments\":true,\"max\":2},\"add_labels\":{\"allowed\":[\"smoke-pydantic\"]},\"create_issue\":{\"close_older_issues\":true,\"close_older_key\":\"smoke-pydantic\",\"expires\":2,\"labels\":[\"automation\",\"testing\"],\"max\":1},\"create_report_incomplete_issue\":{},\"missing_data\":{},\"missing_tool\":{},\"noop\":{\"max\":2,\"report-as-issue\":\"false\"},\"report_incomplete\":{}}"
	GH_AW_GITHUB_TOKEN_SOURCE: ${{ secrets.GH_AW_GITHUB_TOKEN != '' && 'pat' \|\| 'github_actions' }}
	with:
	github-token: ${{ secrets.GH_AW_GITHUB_TOKEN \|\| secrets.GITHUB_TOKEN }}
	script: \|
	const path = require('path');
	const actionsDir = path.join(process.env.RUNNER_TEMP, 'gh-aw', 'actions');
	const { setupGlobals } = require(path.join(actionsDir, 'setup_globals.cjs'));
	setupGlobals(core, github, context, exec, io, getOctokit, process.env.GH_AW_GITHUB_TOKEN_SOURCE);
	const { main } = require(path.join(actionsDir, 'process_safe_outputs.cjs'));
	await main();
	- name: Upload Safe Outputs Items
	if: always()
	uses: actions/upload-artifact@cf430e030ddbb5b0abf93d22962f4752f3646cd9 # v7.0.2
	with:
	name: safe-outputs-items
	path: \|
	/tmp/gh-aw/safe-output-items.jsonl
	/tmp/gh-aw/temporary-id-map.json
	/tmp/gh-aw/safe-output-errors.json
	if-no-files-found: ignore
	retention-days: ${{ vars.GH_AW_DEFAULT_ARTIFACT_RETENTION_DAYS \|\| '0' }}

Navigation Menu

Repository navigation

Smoke Pydantic AI #453

Workflow file

Smoke Pydantic AI #453

Uh oh!

Workflow file for this run