first commit

.env.example

@@ -0,0 +1,26 @@
+# LLM — any OpenAI-compatible endpoint
+# OpenAI:            MODEL_BASE_URL=https://api.openai.com/v1        MODEL_NAME=gpt-4o
+# Anthropic via LiteLLM: MODEL_BASE_URL=http://localhost:4000        MODEL_NAME=claude-sonnet-4-6
+# Ollama:            MODEL_BASE_URL=http://localhost:11434/v1         MODEL_NAME=llama3.2  MODEL_API_KEY=ollama
+MODEL_API_KEY=
+MODEL_BASE_URL=https://api.openai.com/v1
+MODEL_NAME=gpt-4o
+
+# Google OAuth2 ("Sign in with Google")
+GOOGLE_CLIENT_ID=
+GOOGLE_CLIENT_SECRET=
+
+# HashiCorp Vault (agent identities for A2A)
+VAULT_ADDR=http://localhost:8200
+VAULT_ROLE=backlog-agent
+VAULT_JWKS_URL=http://localhost:8200/v1/identity/oidc/.well-known/keys
+
+# Jira MCP server (pm-jira-mcp)
+JIRA_MCP_URL=http://localhost:9000/mcp
+
+# Google Calendar
+GOOGLE_CALENDAR_SCOPES=https://www.googleapis.com/auth/calendar.events
+
+# Metabase
+METABASE_URL=
+METABASE_API_KEY=

.gitignore

@@ -0,0 +1,8 @@
+.venv/
+__pycache__/
+*.pyc
+.env
+.pytest_cache/
+.ruff_cache/
+dist/
+*.egg-info/

.python-version

@@ -0,0 +1 @@
+3.12

CLAUDE.md

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+# pm-backlog-agent
+
+AI agent for managing the backlog of one or several products. Supports multiple personas (PM, developer, tester, designer) with role-based access control.
+
+## Coding Guidelines
+
+- **Language**: all code, comments, commit messages, and documentation in English.
+- **Comments**: only when the why is non-obvious. No block comments, no section dividers.
+- **Conciseness**: no boilerplate, no placeholders, no "coming soon" stubs.
+- **No over-engineering**: solve the problem at hand; don't design for hypothetical futures.
+- **Images**: always use `latest` when the tag exists; pin to the latest known version only when `latest` is not published (e.g. Harbor). Keeps images up to date with security patches.
+
+## Architecture
+
+### Protocol stack
+
+Four complementary layers — each owns a distinct concern:
+
+```
+┌─────────────────────────────────────────┐
+│  A2UI (Google)                          │  WHAT to render — declarative UI spec
+├─────────────────────────────────────────┤
+│  AG-UI (CopilotKit)                     │  HOW agent ↔ UI talk — event transport
+├─────────────────────────────────────────┤
+│  A2A (Google)                           │  HOW agents ↔ agents talk
+├─────────────────────────────────────────┤
+│  MCP                                    │  HOW agent ↔ tools talk
+└─────────────────────────────────────────┘
+```
+
+- **MCP** — outbound only; the agent calls Jira, Confluence, Calendar, and Metabase as MCP tools. No MCP server is exposed publicly.
+- **A2A** — inbound from other agents (security, market watch, communication). OAuth2 Client Credentials; each peer agent has its own service account.
+- **AG-UI** — inbound from human users via the React frontend. Bidirectional event bus (SSE/WebSocket): streams chat tokens, tool call results, state deltas, thinking steps, and A2UI component payloads back to the UI; user actions flow back to the agent through the same channel.
+- **A2UI** — declarative JSON component descriptions embedded inside AG-UI events. Agents describe UI components (sprint board, story card, approval dialog); the client renders them using its own native widgets from a trusted catalog. No arbitrary code execution — UI is data, not code.
+
+### Agent (backend)
+**PydanticAI** (Python) — structured outputs via Pydantic models map naturally to Jira issues, epics, and sprint plans. FastAPI serves both the AG-UI endpoint and the A2A endpoint on a single process.
+
+### UI (frontend)
+Handled by the shared **`pm-ui`** microservice (separate repo). `pm-ui` is a Next.js + CopilotKit app that serves as the single frontend for all agents in the ecosystem. It routes to each agent's AG-UI endpoint depending on context. This agent does not own or ship any UI code.
+
+### Auth
+- **Human users** — "Sign in with Google" (OAuth2 Authorization Code + PKCE). Free, no infrastructure. Google Calendar scopes requested at login time — one consent flow covers both authentication and Calendar access. Actions in Calendar appear as the actual user, not a service account. RBAC enforced in FastAPI middleware (PM / developer / tester / designer roles mapped from JWT claims).
+- **Peer agents** — HashiCorp Vault (AppRole / JWT auth). Short-lived tokens, automatic rotation. One Vault role per agent. OAuth2 Client Credentials flow on the A2A endpoint.
+- **Downstream APIs** (Jira, Confluence, Metabase) — agent's own Vault-managed service account. User identity recorded in the agent's audit log, not delegated downstream.
+
+### Attack surface
+Two inbound surfaces on one FastAPI server, one port, one TLS certificate:
+
+```
+/ag-ui/*   → human users     (OAuth2 Auth Code + PKCE)
+/a2a/*     → peer agents     (OAuth2 Client Credentials)
+```
+
+Outbound only: MCP calls to Jira, Confluence, Calendar, Metabase, and the communication agent over A2A.
+
+### Integrations
+- **Jira** — create, update, prioritize, and triage backlog items
+- **Confluence** — link stories to specs, auto-generate acceptance criteria docs
+- **Calendar** (Google Calendar / Outlook) — sync sprint ceremonies, deadlines, and stakeholder meetings
+- **Metabase** — backlog health dashboards (open-source, self-hostable, REST API)
+
+### Communication
+**Do not add Slack, email, or other notification tools directly to this agent.** All delivery is delegated to a dedicated **communication agent** called over A2A. This centralises credential management, channel routing, rate limiting, and de-duplication across the entire multi-agent system.
+
+---
+
+## User Stories
+
+### Persona & Access Control
+- As a **PM**, I can log in and get full read/write access to all backlog items, epics, and settings.
+- As a **developer**, I can view and update items assigned to me but cannot reprioritize or delete items.
+- As a **tester**, I can view backlog items, add test notes, and transition items to "ready for QA".
+- As a **designer**, I can view items, attach design assets, and flag items needing UX review.
+- As any persona, I can see only the boards and projects I have been granted access to.
+
+### Backlog Management
+- As a **PM**, I can ask the agent in natural language to create a new Jira story with title, description, acceptance criteria, and priority.
+- As a **PM**, I can ask the agent to reprioritize the backlog based on business value and effort, and get a ranked list with reasoning.
+- As a **PM**, I can ask the agent to split an epic into stories and have them created automatically in Jira.
+- As a **PM**, I can ask the agent to find duplicate or similar stories and propose merges.
+- As a **PM**, I can ask the agent to identify stale items (no activity for N days) and propose archiving or updating them.
+- As a **PM**, I can ask the agent to generate a sprint plan given team capacity and story estimates.
+
+### Triage & Enrichment
+- As a **PM**, I can paste raw feature requests or bug reports and have the agent create properly formatted Jira items.
+- As any persona, I can ask the agent to enrich a story with acceptance criteria generated from its description.
+- As a **PM**, I can ask the agent to label and categorize a batch of untagged items.
+- As a **PM**, I can ask the agent to estimate story points for items that lack them, with a brief rationale.
+
+### Calendar & Ceremony Sync
+- As a **PM**, I can ask the agent to schedule a backlog refinement session and have it appear in team calendars.
+- As a **PM**, I can ask the agent to show me what is due before a given date, cross-referencing Jira due dates and calendar events.
+- As any persona, I can get a daily or weekly digest of upcoming deadlines and ceremonies.
+
+### Dashboards & Reporting
+- As a **PM**, I can ask the agent to generate a backlog health report (velocity, age distribution, blocked items).
+- As a **PM**, I can ask the agent to show the current sprint progress and flag items at risk.
+- As a **PM**, I can ask the agent to produce a release notes draft from items marked "done" in a sprint.
+- As a **stakeholder**, I can ask the agent for a plain-language summary of what the team is working on this sprint.
+
+### Agent-to-Agent Intake
+- As the **security agent**, I can submit a vulnerability finding and have the agent create a Jira security issue with the correct priority, label, and assignee.
+- As the **market watch agent**, I can submit a competitive insight and have the agent create a discovery story linked to the relevant epic.
+- As any **external agent**, I can query the backlog API to check whether a given topic already has an open item before creating a duplicate.
+- As a **PM**, I can review, approve, or reject agent-submitted items from a dedicated intake queue.
+
+### Confluence Integration
+- As a **PM**, I can ask the agent to generate a Confluence page for a new epic from the associated Jira stories.
+- As any persona, I can ask the agent to find the Confluence spec linked to a story.
+- As a **PM**, I can ask the agent to update a Confluence decision log with the outcome of a backlog discussion.
+
+### Notifications & Alerts
+Notifications are delivered by the **communication agent** over A2A — this agent does not call Slack or email directly.
+
+- As any persona, I can opt in to receive a notification when an item I am watching changes status.
+- As a **PM**, I can configure alerts for when the backlog exceeds a size threshold or when no items are estimated.
+- As a **PM**, I can choose my preferred notification channel (email, Slack, etc.) in my profile; the communication agent handles delivery.

pyproject.toml

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+[project]
+name = "backlog-agent"
+version = "0.1.0"
+requires-python = ">=3.12,<3.13"
+dependencies = [
+    "pydantic-ai-slim[ag-ui,openai]>=1.87",
+    "fastapi>=0.136",
+    "uvicorn[standard]>=0.46",
+    "httpx>=0.28.1",
+    "google-auth>=2.49",
+    "hvac>=2.4",
+    "pydantic-settings>=2.14",
+    "python-jose[cryptography]>=3.5",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0",
+    "pytest-asyncio>=1.3",
+    "ruff>=0.15",
+    "pyright>=1.1.409",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/backlog_agent"]
+
+[tool.ruff]
+line-length = 100
+
+[tool.ruff.lint]
+select = ["E", "F", "I"]
+
+[tool.pyright]
+pythonVersion = "3.12"
+venvPath = "."
+venv = ".venv"
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"

src/backlog_agent/agent.py

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+from openai import AsyncOpenAI
+from pydantic_ai import Agent
+from pydantic_ai.mcp import MCPServerHTTP
+from pydantic_ai.models.openai import OpenAIModel
+
+from .models.backlog import BacklogItem, SprintPlan
+from .settings import settings
+
+_llm = OpenAIModel(
+    settings.model_name,
+    openai_client=AsyncOpenAI(
+        api_key=settings.model_api_key,
+        base_url=settings.model_base_url,
+    ),
+)
+
+jira_mcp = MCPServerHTTP(url=settings.jira_mcp_url)
+
+agent = Agent(
+    _llm,
+    mcp_servers=[jira_mcp],
+    system_prompt=(
+        "You are a backlog management agent. You help product teams create, prioritize, "
+        "and maintain their Jira backlog. Always produce structured, actionable output. "
+        "When creating backlog items, ensure every item has clear acceptance criteria. "
+        "When prioritizing, explain your reasoning."
+    ),
+    result_type=BacklogItem | SprintPlan | str,
+)

src/backlog_agent/auth.py

@@ -0,0 +1,70 @@
+from enum import StrEnum
+from typing import Annotated
+
+import httpx
+from fastapi import Depends, HTTPException
+from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
+from google.auth.transport import requests as google_requests
+from google.oauth2 import id_token
+from jose import JWTError, jwt
+
+from .settings import settings
+
+bearer = HTTPBearer()
+
+
+class Role(StrEnum):
+    PM = "pm"
+    DEVELOPER = "developer"
+    TESTER = "tester"
+    DESIGNER = "designer"
+    AGENT = "agent"
+
+
+class User:
+    def __init__(self, sub: str, email: str, role: Role):
+        self.sub = sub
+        self.email = email
+        self.role = role
+
+
+async def require_user(
+    credentials: Annotated[HTTPAuthorizationCredentials, Depends(bearer)],
+) -> User:
+    try:
+        claims = id_token.verify_oauth2_token(
+            credentials.credentials,
+            google_requests.Request(),
+            settings.google_client_id,
+        )
+    except Exception:
+        raise HTTPException(status_code=401, detail="Invalid Google token")
+
+    role = Role(claims.get("role", Role.DEVELOPER))
+    return User(sub=claims["sub"], email=claims["email"], role=role)
+
+
+async def require_agent(
+    credentials: Annotated[HTTPAuthorizationCredentials, Depends(bearer)],
+) -> str:
+    """Validates a Vault-issued JWT from a peer agent. Returns the agent's subject."""
+    async with httpx.AsyncClient() as client:
+        resp = await client.get(settings.vault_jwks_url)
+        resp.raise_for_status()
+        jwks = resp.json()
+
+    try:
+        claims = jwt.decode(credentials.credentials, jwks, algorithms=["RS256"])
+    except JWTError:
+        raise HTTPException(status_code=401, detail="Invalid agent token")
+
+    return claims["sub"]
+
+
+def require_role(*roles: Role):
+    async def check(user: Annotated[User, Depends(require_user)]) -> User:
+        if user.role not in roles:
+            raise HTTPException(status_code=403, detail="Insufficient role")
+        return user
+
+    return check

src/backlog_agent/main.py

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+from fastapi import FastAPI
+
+from .routes.a2a import router as a2a_router
+from .routes.agui import router as agui_router
+
+app = FastAPI(title="backlog-agent", docs_url=None, redoc_url=None)
+
+app.include_router(agui_router, prefix="/ag-ui")
+app.include_router(a2a_router, prefix="/a2a")

src/backlog_agent/models/backlog.py

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+from enum import StrEnum
+
+from pydantic import BaseModel
+
+
+class Priority(StrEnum):
+    CRITICAL = "critical"
+    HIGH = "high"
+    MEDIUM = "medium"
+    LOW = "low"
+
+
+class IssueType(StrEnum):
+    STORY = "story"
+    BUG = "bug"
+    EPIC = "epic"
+    TASK = "task"
+
+
+class BacklogItem(BaseModel):
+    title: str
+    description: str
+    issue_type: IssueType = IssueType.STORY
+    priority: Priority = Priority.MEDIUM
+    acceptance_criteria: list[str] = []
+    labels: list[str] = []
+    story_points: int | None = None
+    epic_key: str | None = None
+
+
+class SprintPlan(BaseModel):
+    sprint_name: str
+    items: list[BacklogItem]
+    total_points: int
+    rationale: str

src/backlog_agent/routes/a2a.py

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+"""A2A protocol endpoint for peer agents (security, market watch, etc.)."""
+
+from typing import Annotated, Any
+
+from fastapi import APIRouter, Depends
+from fastapi.responses import JSONResponse
+from pydantic import BaseModel
+
+from ..agent import agent
+from ..auth import require_agent
+from ..models.backlog import BacklogItem
+
+router = APIRouter()
+
+
+class A2ATask(BaseModel):
+    id: str
+    method: str
+    params: dict[str, Any]
+
+
+class A2AResult(BaseModel):
+    id: str
+    result: Any | None = None
+    error: dict[str, Any] | None = None
+
+
+@router.get("/.well-known/agent.json")
+async def agent_card() -> dict:
+    return {
+        "name": "backlog-agent",
+        "description": "Manages product backlog: creates, prioritizes, and triages Jira items.",
+        "version": "0.1.0",
+        "capabilities": ["tasks/send"],
+        "authentication": {"type": "bearer", "issuer": "vault"},
+    }
+
+
+@router.post("/tasks/send")
+async def tasks_send(
+    task: A2ATask,
+    agent_sub: Annotated[str, Depends(require_agent)],
+) -> A2AResult:
+    prompt = task.params.get("prompt", "")
+    if not prompt:
+        return A2AResult(id=task.id, error={"code": -32602, "message": "Missing prompt"})
+
+    result = await agent.run(prompt)
+    return A2AResult(id=task.id, result=result.data)

src/backlog_agent/routes/agui.py

@@ -0,0 +1,24 @@
+from typing import Annotated
+
+from fastapi import APIRouter, Depends
+from pydantic_ai.ui.ag_ui import AGUIAdapter
+from starlette.requests import Request
+from starlette.responses import Response
+
+from ..agent import agent
+from ..auth import User, require_user
+
+router = APIRouter()
+
+
+@router.post("")
+async def ag_ui_endpoint(
+    request: Request,
+    user: Annotated[User, Depends(require_user)],
+) -> Response:
+    return await AGUIAdapter.dispatch_request(
+        request,
+        agent=agent,
+        # User identity passed as deps so the agent can apply role-aware logic
+        deps={"user_email": user.email, "user_role": user.role},
+    )

src/backlog_agent/settings.py

@@ -0,0 +1,25 @@
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
+
+    # OpenAI-compatible LLM endpoint — works with OpenAI, LiteLLM, Ollama, vLLM, etc.
+    model_api_key: str = "ollama"  # placeholder for providers that don't require a real key
+    model_base_url: str = "https://api.openai.com/v1"
+    model_name: str = "gpt-4o"
+
+    google_client_id: str
+    google_client_secret: str
+
+    vault_addr: str = "http://localhost:8200"
+    vault_role: str = "backlog-agent"
+    vault_jwks_url: str = "http://localhost:8200/v1/identity/oidc/.well-known/keys"
+
+    jira_mcp_url: str = "http://localhost:9000/mcp"
+
+    metabase_url: str = ""
+    metabase_api_key: str = ""
+
+
+settings = Settings()

uv.lock

@@ -0,0 +1,952 @@
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+
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+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "fastapi" },
+    { name = "google-auth" },
+    { name = "httpx" },
+    { name = "hvac" },
+    { name = "pydantic-ai-slim", extra = ["ag-ui", "openai"] },
+    { name = "pydantic-settings" },
+    { name = "python-jose", extra = ["cryptography"] },
+    { name = "uvicorn", extra = ["standard"] },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pyright" },
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "fastapi", specifier = ">=0.136" },
+    { name = "google-auth", specifier = ">=2.49" },
+    { name = "httpx", specifier = ">=0.28.1" },
+    { name = "hvac", specifier = ">=2.4" },
+    { name = "pydantic-ai-slim", extras = ["ag-ui", "openai"], specifier = ">=1.87" },
+    { name = "pydantic-settings", specifier = ">=2.14" },
+    { name = "python-jose", extras = ["cryptography"], specifier = ">=3.5" },
+    { name = "uvicorn", extras = ["standard"], specifier = ">=0.46" },
+]
+
+[package.metadata.requires-dev]
+dev = [
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