FISH-14066 Jakarta Agentic AI: use released API 1.0.0-M1 and EE11 TCK branch - #8331

…flowScopeContext, WorkflowScopeManager)

…ic AI runtime

…I registration

…ayara distribution

…jakarta-agentic-ai-1-0-tck-support-in-payara-server

…on order

…ery when @outcome failed

…croProfile Config

Evolve the internal LlmBackend SPI to carry role-tagged conversation turns and an optional system prompt, and store assistant replies in LargeLanguageModelImpl so per-workflow conversational state is complete and providers receive a correctly alternating history.

Add Ollama and Anthropic backends (raw java.net.http + JSON-B, no SDK) and an LlmBackendFactory that selects the provider from MicroProfile Config under payara.agentic.llm.*. The Anthropic backend marks the system prompt with cache_control for prompt caching across workflow phases. The no-op backend remains the default when no provider is configured.

Wire the factory into AgenticAIExtension and add the microprofile-config-api dependency.

…generator

quickstart: a minimal @agent that answers a question, exercising the @Trigger/@Decision/@Action/@outcome phases. Selects a small local Ollama model via MicroProfile Config and ships a CI-safe Arquillian IT that uses a stub LargeLanguageModel, so it runs without a live model.

tutorial generator: an agent that writes a field-by-field guide for a Customer registration form (contract Azul Payara Server) and refines it through a chat loop, passing the current HTML plus the instruction each turn. Uses the Anthropic provider, ships a side-by-side form/guide UI, and a CI-safe IT with a stub model.

Register both modules in the payara-samples reactor.

… configurable LLM backends) into the samples branch

… sample

- Add VertexLlmBackend: authenticates via ADC (gcloud subprocess) or
  GOOGLE_ACCESS_TOKEN env var; builds the rawPredict endpoint URL handling
  the 'global' pseudo-region; sends anthropic_version in the request body
  as required by Vertex AI
- Register 'vertex' provider in LlmBackendFactory; project-id and region
  fall back to the ANTHROPIC_VERTEX_PROJECT_ID / CLOUD_ML_REGION env vars
- Switch sample config to vertex provider with claude-sonnet-4-6 model
- Update system prompt to suppress the form-level title/intro in generated HTML
- Redesign index.html with Azul brand tokens: navy header, white cards,
  Inter font, pill buttons (#0055cc), and chat bubbles styled after the brand

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

… chat

- Redesign UI: form centred on the left; clicking a field slides in a
  contextual panel on the right showing only that field's AI explanation
- Add POST /api/tutorial/refine-field endpoint: isolates one field's
  description, refines it via the agent, and merges the result back into
  the full guide JSON (other fields preserved)
- Switch agent prompts and system prompt to return structured JSON
  (fieldName → plain-text explanation) instead of a free-form HTML fragment
- Per-field chat history: each field keeps its own conversation thread,
  restored when the user switches between fields
- Toast notification after generation guides the user to click a field
- Guide panel styled to match the form card (white, clean border); removed
  metallic gradient
- Graceful handling of non-JSON agent responses in the chat

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

…-agentic-ai-on-payara-server

…erge

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

…nt-samples-with-jakarta-agentic-ai-on-payara-server

…ON_JSON

The test requests TEXT_HTML and the store holds HTML; the wrong @produces
annotation caused HTTP 406 on every CI run.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

…lAgent

The stub checked for "Apply this change requested" but TutorialAgent sends
"Apply this change to the explanations", so refine always returned GENERATED.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

- Rename local variable `html` to `content` in TutorialAgent.render() to
  avoid confusion with JSON output
- Add Logger to TutorialResource and log caught exceptions in extractField
  and mergeField instead of silently discarding them
- Add Javadoc to TutorialStore explaining why @ApplicationScoped + volatile
  is intentional (guide must persist across generate/refine requests)
- Add refinesField IT test covering the /api/tutorial/refine-field endpoint

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

…to FISH-13709-create-agent-samples-with-jakarta-agentic-ai-on-payara-server

…/ai/agent/engine/ClassMethodOrder.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…/ai/agent/engine/ClassMethodOrder.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…/ai/agent/engine/WorkflowEngine.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…/ai/agent/engine/WorkflowEngine.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…/ai/agent/engine/WorkflowEngine.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…/ai/agent/extension/AgenticAIExtension.java

Co-authored-by: Alfonso Valdez <alfonso.altamirano@payara.fish>

…-jakarta-agentic-ai-1-0-tck-support-in-payara-server

…-jakarta-agentic-ai-1-0-tck-support-in-payara-server

…ta-agentic-ai-1-0-tck-support-in-payara-server

FISH-13708 implement jakarta agentic ai 1 0 tck support in payara server

…to FISH-13709-create-agent-samples-with-jakarta-agentic-ai-on-payara-server

…mples-with-jakarta-agentic-ai-on-payara-server

FISH-13709 Add Jakarta Agentic AI samples (quickstart and tutorial generator)

…ntic-AI

# Conflicts:
#	Jenkinsfile

…ic-ai modules

The agentic-ai modules exist only on the Agentic AI branch, so the version
bump merged from main (7.2026.7 -> 7.2026.8) did not touch them and they did
not appear as merge conflicts. This left the agentic-ai packager building as
7.2026.7, so payara-web-featureset (7.2026.8) could not resolve the
agentic-ai:zip:7.2026.8 dependency and the build failed.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

…ntic-AI

Update the jakarta.agentic-ai-api dependency from 1.0.0-SNAPSHOT to the
released 1.0.0-M1 version available on Maven Central.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Point the Jakarta Agentic AI TCK stage at the EE11 branch of the
jakartaee-10-tck-runners repository.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

…ai-1-0-spec

FISH-13708: Fix stale parent versions (7.2026.7 -> 7.2026.8) in agentic-ai modules

…rsion

Replace the hardcoded 1.0.0-M1 version of jakarta.agentic-ai-api with the
${jakarta.agentic-ai-api.version} property (defined in the root
payara-aggregator pom) in agentic-ai-core and the two agentic-ai samples,
so the version is managed in a single place.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>