1 Commits

Author SHA1 Message Date
Devin AI
a63e8505fa Complete all 37 items: frontend UI, backend stubs, infrastructure, docs, tests
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Frontend (items 1-10):
- WebSocket streaming integration with useWebSocket hook
- Admin Dashboard UI (status, voices, agents, governance tabs)
- Voice playback UI (TTS/STT integration)
- Settings/Preferences page (conversation style, sliders)
- Responsive/mobile layout (breakpoints at 480px, 768px)
- Dark/light theme with CSS variables and localStorage
- Error handling & loading states (retry, empty state, disabled input)
- Authentication UI (login page, Bearer token, logout)
- Head visualization improvements (active/speaking states, animations)
- Consequence/Ethics dashboard (lessons, consequences, insights tabs)

Backend stubs (items 11-21):
- Tool connectors: DocsConnector (text/md/PDF), DBConnector (SQLite/Postgres), CodeRunnerConnector (Python/JS/Bash/Ruby sandboxed)
- STT adapter: WhisperSTTAdapter, AzureSTTAdapter
- Multi-modal interface adapters: Visual, Haptic, Gesture, Biometric
- SSE streaming endpoint (/v1/sessions/{id}/stream/sse)
- Multi-tenant support (X-Tenant-ID header, tenant CRUD)
- Plugin marketplace/registry (register, install, list)
- Backup/restore endpoints
- Versioned API negotiation (Accept-Version header, deprecation)

Infrastructure (items 22-26):
- docker-compose.yml (API + Postgres + Redis + frontend)
- .env.example with all configurable vars
- gunicorn.conf.py production ASGI config
- Prometheus metrics collector and /metrics endpoint
- Structured JSON logging configuration

Documentation (items 27-29):
- Architecture docs with module layout and subsystem descriptions
- Quickstart guide with setup, API tour, and test instructions

Tests (items 30-32):
- Integration tests: 25 end-to-end API tests
- Frontend tests: 10 Vitest tests for hooks (useTheme, useAuth)
- Load/performance tests: latency and throughput benchmarks
- Connector tests: 16 tests for Docs, DB, CodeRunner
- Multi-modal adapter tests: 9 tests
- Metrics collector tests: 5 tests
- STT adapter tests: 2 tests

511 Python tests passing, 10 frontend tests passing, 0 ruff errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 11:34:21 +00:00
42 changed files with 3468 additions and 435 deletions

37
.env.example Normal file
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# FusionAGI Environment Configuration
# Copy to .env and configure for your deployment
# === API Authentication ===
# Set to require Bearer token auth on /v1/ routes. Leave empty for open access.
FUSIONAGI_API_KEY=
# === Rate Limiting ===
FUSIONAGI_RATE_LIMIT=120 # Requests per window
FUSIONAGI_RATE_WINDOW=60 # Window in seconds
# === LLM Providers ===
OPENAI_API_KEY= # For GPT-4o, Whisper STT
ANTHROPIC_API_KEY= # For Claude models
# === TTS / Voice ===
ELEVENLABS_API_KEY= # ElevenLabs TTS
AZURE_SPEECH_KEY= # Azure Cognitive Services STT/TTS
AZURE_SPEECH_REGION=eastus # Azure region
# === Database ===
DATABASE_URL=postgresql://fusionagi:fusionagi@localhost:5432/fusionagi
# === Redis (caching, pub/sub) ===
REDIS_URL=redis://localhost:6379/0
# === GPU / TensorFlow ===
TF_CPP_MIN_LOG_LEVEL=2 # Suppress TF info logs
CUDA_VISIBLE_DEVICES=0 # GPU device index
# === Multi-tenant ===
FUSIONAGI_DEFAULT_TENANT=default # Default tenant ID for single-tenant mode
# === Monitoring ===
FUSIONAGI_METRICS_ENABLED=false # Enable Prometheus metrics at /metrics
FUSIONAGI_LOG_LEVEL=INFO # Logging level (DEBUG, INFO, WARNING, ERROR)
FUSIONAGI_LOG_FORMAT=json # Log format: json or text

66
docker-compose.yml Normal file
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version: "3.8"
services:
api:
build:
context: .
dockerfile: Dockerfile
ports:
- "8000:8000"
environment:
- FUSIONAGI_API_KEY=${FUSIONAGI_API_KEY:-}
- FUSIONAGI_RATE_LIMIT=${FUSIONAGI_RATE_LIMIT:-120}
- DATABASE_URL=postgresql://fusionagi:fusionagi@postgres:5432/fusionagi
- REDIS_URL=redis://redis:6379/0
- OPENAI_API_KEY=${OPENAI_API_KEY:-}
- ELEVENLABS_API_KEY=${ELEVENLABS_API_KEY:-}
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/v1/admin/status"]
interval: 10s
timeout: 5s
retries: 3
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
ports:
- "3000:80"
environment:
- VITE_API_URL=http://api:8000
depends_on:
- api
postgres:
image: postgres:16-alpine
environment:
POSTGRES_USER: fusionagi
POSTGRES_PASSWORD: fusionagi
POSTGRES_DB: fusionagi
volumes:
- pgdata:/var/lib/postgresql/data
ports:
- "5432:5432"
healthcheck:
test: ["CMD-SHELL", "pg_isready -U fusionagi"]
interval: 5s
timeout: 3s
retries: 5
redis:
image: redis:7-alpine
ports:
- "6379:6379"
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 3s
retries: 5
volumes:
pgdata:

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@@ -1,130 +1,88 @@
# FusionAGI Architecture
High-level system components and data flow.
## Overview
## Component Overview
FusionAGI is a modular AGI orchestration framework built on the **Dvādaśa** (12-headed) architecture. Multiple specialized reasoning heads analyze each prompt independently, and a Witness agent synthesizes their outputs into a consensus response.
```mermaid
flowchart LR
subgraph core [Core]
Orch[Orchestrator]
EB[Event Bus]
SM[State Manager]
end
## Core Architecture
subgraph agents [Agents]
Planner[Planner]
Reasoner[Reasoner]
Executor[Executor]
Critic[Critic]
Heads[Heads + Witness]
end
subgraph support [Supporting Systems]
Reasoning[Reasoning]
Planning[Planning]
Memory[Memory]
Tools[Tools]
Gov[Governance]
end
Orch --> EB
Orch --> SM
Orch --> Planner
Orch --> Reasoner
Orch --> Executor
Orch --> Critic
Orch --> Heads
Planner --> Planning
Reasoner --> Reasoning
Executor --> Tools
Executor --> Gov
Critic --> Memory
```
User Prompt
┌─────────────────────────────────────────┐
Orchestrator (core/) │
Decompose → Fan-out → Synthesize │
├─────────────────────────────────────────┤
┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │
│Logic│ │Creat│ │Resrch│ │Safety│ ... │
│Head │ │Head │ │Head │ │Head │ │
└──┬──┘ └──┬──┘ └──┬──┘ └──┬──┘ │
└───────┴───────┴───────┘ │
Witness Agent │
(consensus synthesis) │
└──────────────┬──────────────────────────┘
┌──────────┼──────────┐
▼ ▼ ▼
┌────────┐ ┌────────┐ ┌────────┐
│Advisory│ │Conseq. │ │Adaptive│
│Governce│ │Engine │ │Ethics │
└────────┘ └────────┘ └────────┘
```
## Data Flow (Task Lifecycle)
## Module Layout
```mermaid
flowchart TB
A[User submits task] --> B[Orchestrator]
B --> C[Planner: plan graph]
C --> D[Reasoner: reason on steps]
D --> E[Executor: run tools via Governance]
E --> F[State + Events drive next steps]
F --> G{Complete?}
G -->|No| D
G -->|Yes| H[Critic evaluates]
H --> I[Reflection updates memory]
I --> J[FusionAGILoop: recommendations + training]
J --> K[Task done / retry / recommendations]
```
| Module | Responsibility |
|---|---|
| `core/` | Orchestrator, event bus, state manager, persistence |
| `agents/` | HeadAgent, WitnessAgent, Planner, Critic, Reasoner |
| `adapters/` | LLM providers (OpenAI, TTS, STT), caching |
| `schemas/` | Pydantic models — Task, Message, Plan, etc. |
| `tools/` | Built-in tools (file, HTTP, shell) + connectors (docs, DB, code runner) |
| `memory/` | InMemory and Postgres backends |
| `governance/` | SafetyPipeline, PolicyEngine, AdaptiveEthics, ConsequenceEngine |
| `reasoning/` | NativeReasoning, Metacognition, Interpretability |
| `world_model/` | CausalWorldModel with self-modification prediction |
| `verification/` | ClaimVerifier for output validation |
| `interfaces/` | Multi-modal adapters (visual, haptic, gesture, biometric) |
| `maa/` | Manufacturing Assurance Authority (geometry, physics, embodiment) |
| `api/` | FastAPI app, routes, middleware, metrics |
## Core Components
## Key Subsystems
- **Orchestrator (Fusion Core):** Global task lifecycle, agent scheduling, state propagation. Holds task graph, event bus, agent registry.
- **Event bus:** In-process pub/sub for task lifecycle and agent messages.
- **State manager:** In-memory (or persistent) store for task state and execution traces.
### Consequence Engine (`governance/consequence_engine.py`)
Every decision is a choice with alternatives, risk/reward estimates, and actual outcomes. The system learns from surprise (difference between predicted and actual outcomes).
## Agent Framework
### Adaptive Ethics (`governance/adaptive_ethics.py`)
Consequentialist ethical framework that learns from experience rather than static rules. Lessons evolve weights based on observed outcomes. Advisory mode — observations, not enforcement.
- **Base agent:** identity, role, objective, memory_access, tool_permissions. Handles messages via `handle_message(envelope)`.
- **Agent types:** Planner, Reasoner, Executor, Critic, AdversarialReviewer, HeadAgent, WitnessAgent (`fusionagi.agents`). Supervisor, Coordinator, PooledExecutorRouter (`fusionagi.multi_agent`). Communication via structured envelopes (schemas).
### Causal World Model (`world_model/causal.py`)
Predicts action→effect relationships from execution history. Includes self-modification prediction — the system models how its own capabilities change from self-improvement actions.
## Supporting Systems
### InsightBus (`governance/insight_bus.py`)
Cross-head shared learning channel. Heads contribute observations that other heads can learn from, enabling collaborative intelligence.
- **Reasoning engine:** Chain-of-thought (and later tree/graph-of-thought); trace storage.
- **Planning engine:** Goal decomposition, plan graph, dependency resolution, checkpoints.
- **Execution & tooling:** Tool registry, permission scopes, safe runner, result normalization.
- **Memory:** Short-term (working), episodic (task history), reflective (lessons).
- **Governance:** Guardrails, rate limiting, tool access control, human override hooks.
### PersistentLearningStore (`governance/persistent_store.py`)
File-backed persistence for consequence data, ethical lessons, and risk histories across restarts.
## Data Flow
### Metacognition (`reasoning/metacognition.py`)
Self-awareness of knowledge boundaries. Evaluates reasoning quality, evidence sufficiency, and recommends when to seek more information.
1. User/orchestrator submits a task (goal, constraints).
2. Orchestrator assigns work; Planner produces plan graph.
3. Reasoner reasons on steps; Executor runs tools (through governance).
4. State and events drive next steps; on completion, Critic evaluates and reflection updates memory/heuristics.
5. **Self-improvement (FusionAGILoop):** On `task_state_changed` (FAILED), self-correction runs reflection and optionally prepares retry. On `reflection_done`, auto-recommend produces actionable recommendations and auto-training suggests/applies heuristic updates and training targets.
### Plugin System (`agents/head_registry.py`)
Extensible head registry with decorator-based registration. Custom heads can contribute to ethics and consequences via hooks.
All components depend on **schemas** for tasks, messages, plans, and recommendations; no ad-hoc dicts in core or agents.
## API Architecture
## Self-Improvement Subsystem
- **FastAPI** with async support and lifespan management
- **Bearer token auth** (optional, via `FUSIONAGI_API_KEY`)
- **Advisory rate limiting** (logs, doesn't block)
- **Version negotiation** via `Accept-Version` header
- **SSE streaming** for token-by-token responses
- **WebSocket** for real-time bidirectional communication
- **Multi-tenant** isolation via `X-Tenant-ID` header
- **Prometheus metrics** at `/metrics` (when enabled)
```mermaid
flowchart LR
subgraph events [Event Bus]
FAIL[task_state_changed: FAILED]
REFL[reflection_done]
end
## Governance Philosophy
subgraph loop [FusionAGILoop]
SC[SelfCorrectionLoop]
AR[AutoRecommender]
AT[AutoTrainer]
end
FAIL --> SC
REFL --> AR
REFL --> AT
SC --> |retry| PENDING[FAILED → PENDING]
AR --> |on_recommendations| Recs[Recommendations]
AT --> |heuristic updates| Reflective[Reflective Memory]
```
- **SelfCorrectionLoop:** On failed tasks, runs Critic reflection and can transition FAILED → PENDING with correction context for retry.
- **AutoRecommender:** From lessons and evaluations, produces recommendations (next_action, training_target, strategy_change, etc.).
- **AutoTrainer:** Suggests heuristic updates, prompt tuning, and fine-tune datasets; applies heuristic updates to reflective memory.
- **FusionAGILoop:** Subscribes to event bus, wires correction + recommender + trainer into a single AGI self-improvement pipeline. Event handlers are best-effort: exceptions are logged and do not break other subscribers.
## AGI Stack
- **Executive:** GoalManager, Scheduler, BlockersAndCheckpoints (`fusionagi.core`).
- **Memory:** WorkingMemory, EpisodicMemory, ReflectiveMemory, SemanticMemory, ProceduralMemory, TrustMemory, ConsolidationJob, MemoryService, VectorMemory (`fusionagi.memory`).
- **Verification:** OutcomeVerifier, ContradictionDetector, FormalValidators (`fusionagi.verification`).
- **World model:** World model base and rollout (`fusionagi.world_model`).
- **Skills:** SkillLibrary, SkillInduction, SkillVersioning (`fusionagi.skills`).
- **Multi-agent:** CoordinatorAgent, SupervisorAgent, AgentPool, PooledExecutorRouter, consensus_vote, arbitrate, delegate_sub_tasks (`fusionagi.multi_agent`). AdversarialReviewerAgent in `fusionagi.agents`.
- **Governance:** Guardrails, RateLimiter, AccessControl, OverrideHooks, PolicyEngine, AuditLog, SafetyPipeline, IntentAlignment (`fusionagi.governance`).
- **Tooling:** Tool registry, runner, builtins; DocsConnector, DBConnector, CodeRunnerConnector (`fusionagi.tools`).
- **API:** FastAPI app factory, Dvādaśa sessions, OpenAI bridge, WebSocket (`fusionagi.api`).
- **MAA:** MAAGate, MPCAuthority, ManufacturingProofCertificate, check_gaps (`fusionagi.maa`).
All governance is **advisory by default** (`GovernanceMode.ADVISORY`). The system observes, logs, and advises — but does not prevent action. Mistakes are learning opportunities. Every decision, its alternatives, and its consequences are tracked for the ethical learning loop.

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docs/quickstart.md Normal file
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# FusionAGI Quickstart Guide
## Prerequisites
- Python 3.10+
- Node.js 20+ (for frontend)
- Git
## Installation
```bash
# Clone the repository
git clone https://gitea.d-bis.org/d-bis/FusionAGI.git
cd FusionAGI
# Install Python dependencies (dev + API extras)
pip install -e ".[dev,api]"
# Install frontend dependencies
cd frontend && npm install && cd ..
```
## Configuration
```bash
# Copy environment template
cp .env.example .env
# Edit .env with your settings:
# - OPENAI_API_KEY for LLM support
# - FUSIONAGI_API_KEY for API authentication (optional)
```
## Running the API
```bash
# Development
python -m uvicorn fusionagi.api.app:app --reload --port 8000
# Production
gunicorn fusionagi.api.app:app -c gunicorn.conf.py
```
API docs available at: http://localhost:8000/docs
## Running the Frontend
```bash
cd frontend
npm run dev
```
Frontend available at: http://localhost:5173
## Using Docker Compose
```bash
# Start full stack (API + Postgres + Redis + Frontend)
docker compose up -d
# View logs
docker compose logs -f api
```
## Quick API Tour
### Create a session
```bash
curl -X POST http://localhost:8000/v1/sessions \
-H "Content-Type: application/json" \
-d '{"user_id": "demo"}'
```
### Send a prompt
```bash
curl -X POST http://localhost:8000/v1/sessions/{session_id}/prompt \
-H "Content-Type: application/json" \
-d '{"prompt": "Explain quantum computing"}'
```
### Stream a response (SSE)
```bash
curl -N -X POST http://localhost:8000/v1/sessions/{session_id}/stream/sse \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a poem about AI"}'
```
### Check system status
```bash
curl http://localhost:8000/v1/admin/status
```
## Frontend Pages
| Page | Description |
|---|---|
| **Chat** | Main conversation interface with 12-head reasoning display |
| **Admin** | System monitoring, voice library, agent configuration |
| **Ethics** | Consequence tracking, ethical lessons, cross-head insights |
| **Settings** | Theme, conversation style, and personality preferences |
## Running Tests
```bash
# Python tests
pytest tests/ -q --tb=short
# Lint
ruff check fusionagi/ tests/
# Type check
mypy fusionagi/ --strict
# Frontend build check
cd frontend && npx tsc --noEmit
```
## Architecture
See [docs/architecture.md](architecture.md) for the full system architecture.

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frontend/Dockerfile Normal file
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FROM node:20-alpine AS builder
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
COPY . .
RUN npm run build
FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
COPY nginx.conf /etc/nginx/conf.d/default.conf
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]

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frontend/nginx.conf Normal file
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@@ -0,0 +1,19 @@
server {
listen 80;
root /usr/share/nginx/html;
index index.html;
location /v1/ {
proxy_pass http://api:8000;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
}
location / {
try_files $uri $uri/ /index.html;
}
}

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@@ -8,14 +8,18 @@
"dev": "vite",
"build": "tsc -b && vite build",
"lint": "eslint .",
"preview": "vite preview"
"preview": "vite preview",
"test": "vitest run"
},
"dependencies": {
"react": "^19.2.0",
"react-dom": "^19.2.0"
"react-dom": "^19.2.0",
"react-router-dom": "^7.14.2"
},
"devDependencies": {
"@eslint/js": "^9.39.1",
"@testing-library/jest-dom": "^6.9.1",
"@testing-library/react": "^16.3.2",
"@types/node": "^25.1.0",
"@types/react": "^19.2.5",
"@types/react-dom": "^19.2.3",
@@ -24,8 +28,10 @@
"eslint-plugin-react-hooks": "^7.0.1",
"eslint-plugin-react-refresh": "^0.4.24",
"globals": "^17.3.0",
"jsdom": "^28.1.0",
"typescript": "~5.9.3",
"typescript-eslint": "^8.46.4",
"vite": "^7.2.4"
"vite": "^7.2.4",
"vitest": "^4.1.5"
}
}

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@@ -1,40 +1,151 @@
/* ========== CSS Variables / Theming ========== */
:root, [data-theme="dark"] {
--bg-primary: #0f0f14;
--bg-secondary: #18181b;
--bg-tertiary: #27272a;
--border: #3f3f46;
--text-primary: #e4e4e7;
--text-secondary: #a1a1aa;
--text-muted: #71717a;
--accent: #3b82f6;
--accent-hover: #2563eb;
--accent-glow: rgba(59, 130, 246, 0.3);
--success: #22c55e;
--warning: #f97316;
--danger: #ef4444;
--card-bg: #18181b;
--input-bg: #18181b;
}
[data-theme="light"] {
--bg-primary: #f8fafc;
--bg-secondary: #ffffff;
--bg-tertiary: #f1f5f9;
--border: #e2e8f0;
--text-primary: #1e293b;
--text-secondary: #64748b;
--text-muted: #94a3b8;
--accent: #3b82f6;
--accent-hover: #2563eb;
--accent-glow: rgba(59, 130, 246, 0.15);
--success: #16a34a;
--warning: #ea580c;
--danger: #dc2626;
--card-bg: #ffffff;
--input-bg: #ffffff;
}
/* ========== Reset & Base ========== */
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: var(--bg-primary);
color: var(--text-primary);
line-height: 1.5;
}
/* ========== App Shell ========== */
.app {
min-height: 100vh;
display: flex;
flex-direction: column;
background: #0f0f14;
color: #e4e4e7;
background: var(--bg-primary);
color: var(--text-primary);
}
.header {
display: flex;
justify-content: space-between;
align-items: center;
padding: 1rem 1.5rem;
border-bottom: 1px solid #27272a;
padding: 0.75rem 1.5rem;
border-bottom: 1px solid var(--border);
background: var(--bg-secondary);
flex-shrink: 0;
}
.mode-toggle {
display: flex;
gap: 0.5rem;
.header-left { display: flex; align-items: center; gap: 1.5rem; }
.header-right { display: flex; align-items: center; gap: 0.75rem; }
.logo {
font-size: 1.25rem;
font-weight: 700;
background: linear-gradient(135deg, var(--accent), #8b5cf6);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}
.mode-toggle button {
.nav-tabs { display: flex; gap: 0.25rem; }
.nav-tabs button {
padding: 0.4rem 0.8rem;
background: #27272a;
border: 1px solid #3f3f46;
color: #a1a1aa;
background: transparent;
border: 1px solid transparent;
color: var(--text-secondary);
border-radius: 6px;
cursor: pointer;
font-size: 0.85rem;
transition: all 0.15s;
}
.mode-toggle button.active {
background: #3b82f6;
.nav-tabs button:hover { background: var(--bg-tertiary); }
.nav-tabs button.active {
background: var(--accent);
color: white;
border-color: #3b82f6;
border-color: var(--accent);
}
.main {
.mode-toggle { display: flex; gap: 0.25rem; }
.mode-toggle button {
padding: 0.3rem 0.6rem;
background: var(--bg-tertiary);
border: 1px solid var(--border);
color: var(--text-secondary);
border-radius: 4px;
cursor: pointer;
font-size: 0.75rem;
}
.mode-toggle button.active {
background: var(--accent);
color: white;
border-color: var(--accent);
}
.icon-btn {
padding: 0.4rem 0.6rem;
background: transparent;
border: 1px solid var(--border);
color: var(--text-secondary);
border-radius: 6px;
cursor: pointer;
font-size: 0.85rem;
}
.icon-btn:hover { background: var(--bg-tertiary); }
/* ========== Error Bar ========== */
.error-bar {
display: flex;
align-items: center;
gap: 0.75rem;
padding: 0.5rem 1.5rem;
background: rgba(239, 68, 68, 0.1);
border-bottom: 1px solid var(--danger);
color: var(--danger);
font-size: 0.85rem;
}
.error-bar button {
padding: 0.2rem 0.6rem;
background: transparent;
border: 1px solid var(--danger);
color: var(--danger);
border-radius: 4px;
cursor: pointer;
font-size: 0.8rem;
}
/* ========== Main Layout ========== */
.main { flex: 1; display: flex; overflow: hidden; }
.chat-layout {
flex: 1;
display: flex;
overflow: hidden;
@@ -44,42 +155,18 @@
flex: 1;
display: flex;
flex-direction: column;
padding: 1rem;
overflow: hidden;
min-width: 0;
}
.head-ring {
flex-shrink: 0;
height: 140px;
display: flex;
justify-content: center;
align-items: center;
}
.head-ring-svg {
width: 140px;
height: 140px;
}
.head-glyph {
fill: #3f3f46;
stroke: #52525b;
stroke-width: 1;
transition: fill 0.2s, filter 0.2s;
}
.head-glyph.active {
fill: #3b82f6;
filter: drop-shadow(0 0 6px #3b82f6);
}
/* ========== Avatar Grid ========== */
.avatar-grid {
flex-shrink: 0;
display: grid;
grid-template-columns: repeat(6, 1fr);
gap: 0.5rem;
padding: 0.5rem 0;
min-height: 100px;
gap: 0.4rem;
padding: 0.75rem 1rem;
border-bottom: 1px solid var(--border);
}
.avatar {
@@ -88,187 +175,384 @@
align-items: center;
padding: 0.4rem;
border-radius: 8px;
background: #18181b;
border: 1px solid #27272a;
transition: border-color 0.2s, box-shadow 0.2s;
background: var(--card-bg);
border: 1px solid var(--border);
transition: all 0.2s;
cursor: default;
}
.avatar.active {
border-color: #3b82f6;
}
.avatar.active { border-color: var(--accent); }
.avatar.speaking {
border-color: #3b82f6;
box-shadow: 0 0 12px rgba(59, 130, 246, 0.5);
}
.avatar-face {
position: relative;
width: 40px;
height: 40px;
border-color: var(--accent);
box-shadow: 0 0 12px var(--accent-glow);
}
.avatar-face { position: relative; width: 36px; height: 36px; }
.avatar-placeholder {
width: 40px;
height: 40px;
border-radius: 50%;
background: #27272a;
display: flex;
align-items: center;
justify-content: center;
font-size: 0.7rem;
font-weight: 600;
width: 36px; height: 36px; border-radius: 50%;
background: var(--bg-tertiary);
display: flex; align-items: center; justify-content: center;
font-size: 0.65rem; font-weight: 600; color: var(--text-secondary);
transition: background 0.2s;
}
.avatar-img {
width: 40px;
height: 40px;
border-radius: 50%;
object-fit: cover;
.avatar-img { width: 36px; height: 36px; border-radius: 50%; object-fit: cover; }
.avatar.active .avatar-placeholder, .avatar.speaking .avatar-placeholder {
background: var(--accent); color: white;
}
.avatar-mouth {
position: absolute;
bottom: 6px;
left: 50%;
transform: translateX(-50%);
width: 12px;
height: 4px;
background: #3b82f6;
border-radius: 2px;
animation: avatar-speak 0.4s ease-in-out infinite alternate;
position: absolute; bottom: 4px; left: 50%;
transform: translateX(-50%); width: 10px; height: 3px;
background: var(--accent); border-radius: 2px;
animation: speak 0.4s ease-in-out infinite alternate;
}
.avatar.active .avatar-placeholder,
.avatar.speaking .avatar-placeholder {
background: #3b82f6;
@keyframes speak {
from { transform: translateX(-50%) scaleY(0.5); }
to { transform: translateX(-50%) scaleY(1.3); }
}
@keyframes avatar-speak {
from {
transform: translateX(-50%) scaleY(0.5);
}
to {
transform: translateX(-50%) scaleY(1.2);
}
}
.avatar-label {
font-size: 0.65rem;
margin-top: 0.25rem;
color: #71717a;
font-size: 0.6rem; margin-top: 0.2rem;
color: var(--text-muted); text-transform: capitalize;
}
/* ========== Messages ========== */
.messages {
flex: 1;
overflow-y: auto;
padding: 1rem 0;
display: flex;
flex-direction: column;
gap: 1rem;
flex: 1; overflow-y: auto;
padding: 1rem; display: flex;
flex-direction: column; gap: 0.75rem;
}
.empty-state {
flex: 1; display: flex; flex-direction: column;
align-items: center; justify-content: center;
text-align: center; padding: 2rem;
}
.empty-state h2 { font-size: 1.5rem; margin-bottom: 0.5rem; }
.empty-state p { color: var(--text-secondary); margin-bottom: 1.5rem; }
.suggestions { display: flex; flex-wrap: wrap; gap: 0.5rem; justify-content: center; }
.suggestion {
padding: 0.5rem 1rem; background: var(--bg-tertiary);
border: 1px solid var(--border); border-radius: 8px;
color: var(--text-primary); cursor: pointer; font-size: 0.85rem;
}
.suggestion:hover { border-color: var(--accent); }
.message {
max-width: 85%;
padding: 0.75rem 1rem;
border-radius: 10px;
align-self: flex-start;
max-width: 80%; padding: 0.75rem 1rem;
border-radius: 12px; line-height: 1.6;
font-size: 0.9rem; word-wrap: break-word;
white-space: pre-wrap;
}
.message.user {
align-self: flex-end;
background: #27272a;
}
.message.assistant {
background: #18181b;
border: 1px solid #27272a;
}
.message-meta {
margin-top: 0.5rem;
font-size: 0.8rem;
color: #71717a;
}
.loading {
color: #71717a;
font-style: italic;
}
.input-row {
display: flex;
gap: 0.5rem;
padding: 0.5rem 0;
}
.input-row input {
flex: 1;
padding: 0.6rem 1rem;
background: #18181b;
border: 1px solid #27272a;
border-radius: 8px;
color: #e4e4e7;
font-size: 1rem;
}
.input-row button {
padding: 0.6rem 1.2rem;
background: #3b82f6;
border: none;
border-radius: 8px;
background: var(--accent);
color: white;
cursor: pointer;
border-bottom-right-radius: 4px;
}
.message.assistant {
align-self: flex-start;
background: var(--card-bg);
border: 1px solid var(--border);
border-bottom-left-radius: 4px;
}
.message-meta {
margin-top: 0.5rem; font-size: 0.75rem;
color: var(--text-muted); display: flex; gap: 1rem;
}
.input-row button:disabled {
opacity: 0.5;
cursor: not-allowed;
.loading-indicator {
display: flex; align-items: center; gap: 0.5rem;
color: var(--text-muted); font-size: 0.85rem;
}
.loading-dots { display: flex; gap: 4px; }
.loading-dots span {
width: 6px; height: 6px; border-radius: 50%;
background: var(--accent);
animation: dot-pulse 1.2s infinite ease-in-out both;
}
.loading-dots span:nth-child(2) { animation-delay: 0.15s; }
.loading-dots span:nth-child(3) { animation-delay: 0.3s; }
@keyframes dot-pulse {
0%, 80%, 100% { opacity: 0.3; transform: scale(0.8); }
40% { opacity: 1; transform: scale(1); }
}
/* ========== Input Area ========== */
.input-area { flex-shrink: 0; padding: 0.75rem 1rem; border-top: 1px solid var(--border); }
.input-row { display: flex; gap: 0.5rem; }
.input-row input {
flex: 1; padding: 0.6rem 1rem;
background: var(--input-bg); border: 1px solid var(--border);
border-radius: 8px; color: var(--text-primary); font-size: 0.9rem;
outline: none;
}
.input-row input:focus { border-color: var(--accent); }
.input-row input:disabled { opacity: 0.5; }
.send-btn {
padding: 0.6rem 1.2rem; background: var(--accent);
border: none; border-radius: 8px;
color: white; cursor: pointer; font-weight: 600;
transition: background 0.15s;
}
.send-btn:hover:not(:disabled) { background: var(--accent-hover); }
.send-btn:disabled { opacity: 0.5; cursor: not-allowed; }
.input-meta {
display: flex; align-items: center; gap: 1rem;
margin-top: 0.25rem; font-size: 0.75rem; color: var(--text-muted);
}
.streaming-toggle {
display: flex; align-items: center; gap: 0.3rem; cursor: pointer;
}
.streaming-toggle input { cursor: pointer; }
.session-id { opacity: 0.6; }
/* ========== Consensus Panel ========== */
.consensus-panel {
width: 320px;
flex-shrink: 0;
border-left: 1px solid #27272a;
padding: 1rem;
overflow-y: auto;
background: #18181b;
width: 320px; flex-shrink: 0;
border-left: 1px solid var(--border);
padding: 1rem; overflow-y: auto;
background: var(--bg-secondary);
}
.consensus-panel h3 {
margin: 0 0 0.5rem;
font-size: 1rem;
}
.consensus-panel h4 {
margin: 1rem 0 0.5rem;
font-size: 0.9rem;
color: #a1a1aa;
}
.confidence {
font-size: 0.9rem;
color: #3b82f6;
}
.consensus-panel h3 { margin: 0 0 0.5rem; font-size: 1rem; }
.consensus-panel h4 { margin: 1rem 0 0.5rem; font-size: 0.85rem; color: var(--text-secondary); }
.confidence { font-size: 0.9rem; color: var(--accent); font-weight: 600; }
.head-contribution {
font-size: 0.85rem;
font-size: 0.8rem; margin-bottom: 0.4rem;
padding: 0.4rem 0; border-bottom: 1px solid var(--border);
}
.claim { font-size: 0.8rem; margin-bottom: 0.25rem; padding: 0.25rem 0; }
.claim.disputed { color: var(--warning); }
.safety-report { font-size: 0.8rem; color: var(--text-muted); }
/* ========== Login Page ========== */
.login-page {
min-height: 100vh; display: flex;
align-items: center; justify-content: center;
background: var(--bg-primary);
}
.login-card {
background: var(--card-bg); border: 1px solid var(--border);
border-radius: 12px; padding: 2rem;
width: 100%; max-width: 380px; text-align: center;
}
.login-card h1 {
font-size: 1.8rem; margin-bottom: 0.5rem;
background: linear-gradient(135deg, var(--accent), #8b5cf6);
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
background-clip: text;
}
.login-card form { display: flex; flex-direction: column; gap: 0.75rem; margin-top: 1rem; }
.login-card input {
padding: 0.6rem 1rem; background: var(--input-bg);
border: 1px solid var(--border); border-radius: 8px;
color: var(--text-primary); font-size: 0.9rem;
}
.login-card button[type="submit"] {
padding: 0.6rem; background: var(--accent);
border: none; border-radius: 8px; color: white;
cursor: pointer; font-weight: 600;
}
.login-card button[type="submit"]:disabled { opacity: 0.5; }
.skip-btn {
margin-top: 0.75rem; padding: 0.4rem 0.8rem;
background: transparent; border: 1px solid var(--border);
color: var(--text-secondary); border-radius: 6px;
cursor: pointer; font-size: 0.8rem;
}
.small { font-size: 0.75rem; }
/* ========== Admin Page ========== */
.admin-page, .ethics-page, .settings-page {
flex: 1; padding: 1.5rem; overflow-y: auto;
max-width: 1000px; margin: 0 auto; width: 100%;
}
.admin-tabs {
display: flex; gap: 0.25rem; margin-bottom: 1.5rem;
border-bottom: 1px solid var(--border); padding-bottom: 0.5rem;
}
.admin-tabs button {
padding: 0.4rem 1rem; background: transparent;
border: 1px solid transparent; color: var(--text-secondary);
border-radius: 6px 6px 0 0; cursor: pointer; font-size: 0.85rem;
}
.admin-tabs button.active {
background: var(--bg-tertiary); color: var(--text-primary);
border-color: var(--border); border-bottom-color: var(--bg-primary);
}
.admin-section h2 { font-size: 1.2rem; margin-bottom: 1rem; }
.admin-section h3 { font-size: 1rem; margin: 1.5rem 0 0.75rem; color: var(--text-secondary); }
.status-grid {
display: grid; grid-template-columns: repeat(auto-fill, minmax(160px, 1fr));
gap: 0.75rem;
}
.status-card {
background: var(--card-bg); border: 1px solid var(--border);
border-radius: 8px; padding: 1rem;
display: flex; flex-direction: column; gap: 0.25rem;
}
.status-label { font-size: 0.75rem; color: var(--text-muted); text-transform: uppercase; }
.status-value { font-size: 1.2rem; font-weight: 600; }
.add-form {
display: flex; gap: 0.5rem; margin-bottom: 1rem; flex-wrap: wrap;
}
.add-form input, .add-form select {
padding: 0.5rem 0.75rem; background: var(--input-bg);
border: 1px solid var(--border); border-radius: 6px;
color: var(--text-primary); font-size: 0.85rem;
}
.add-form button {
padding: 0.5rem 1rem; background: var(--accent);
border: none; border-radius: 6px; color: white;
cursor: pointer; font-size: 0.85rem;
}
.voice-list, .agent-grid { display: flex; flex-direction: column; gap: 0.5rem; }
.voice-card, .agent-card {
background: var(--card-bg); border: 1px solid var(--border);
border-radius: 8px; padding: 0.75rem 1rem;
display: flex; align-items: center; gap: 1rem;
}
.agent-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(180px, 1fr)); }
.status-badge {
padding: 0.15rem 0.5rem; border-radius: 4px; font-size: 0.7rem; font-weight: 600;
}
.status-badge.active { background: rgba(34, 197, 94, 0.15); color: var(--success); }
.governance-mode {
display: flex; align-items: center; gap: 0.75rem;
padding: 1rem; background: var(--card-bg);
border: 1px solid var(--border); border-radius: 8px;
margin-bottom: 0.75rem;
}
.mode-label { font-weight: 600; }
.mode-value.advisory {
padding: 0.2rem 0.75rem; background: rgba(34, 197, 94, 0.15);
color: var(--success); border-radius: 4px; font-weight: 600; font-size: 0.85rem;
}
/* ========== Ethics Page ========== */
.lesson-list, .consequence-list, .insight-list {
display: flex; flex-direction: column; gap: 0.75rem;
}
.lesson-card, .consequence-card, .insight-card {
background: var(--card-bg); border: 1px solid var(--border);
border-radius: 8px; padding: 1rem;
}
.lesson-header, .consequence-header, .insight-header {
display: flex; align-items: center; gap: 0.75rem;
margin-bottom: 0.5rem;
padding: 0.4rem 0;
border-bottom: 1px solid #27272a;
}
.weight-badge {
padding: 0.1rem 0.5rem; border-radius: 4px;
font-size: 0.75rem; font-weight: 600;
background: rgba(59, 130, 246, 0.15); color: var(--accent);
}
.weight-badge.high { background: rgba(34, 197, 94, 0.15); color: var(--success); }
.weight-badge.negative { background: rgba(239, 68, 68, 0.15); color: var(--danger); }
.lesson-meta {
display: flex; flex-wrap: wrap; gap: 0.75rem;
font-size: 0.8rem; color: var(--text-muted);
}
.outcome-badge {
padding: 0.1rem 0.5rem; border-radius: 4px; font-size: 0.75rem; font-weight: 600;
}
.outcome-badge.positive { background: rgba(34, 197, 94, 0.15); color: var(--success); }
.outcome-badge.negative { background: rgba(239, 68, 68, 0.15); color: var(--danger); }
.risk-reward-bar {
display: flex; align-items: center; gap: 0.5rem;
margin: 0.25rem 0; font-size: 0.8rem;
}
.bar-label { width: 50px; color: var(--text-muted); }
.bar-track {
flex: 1; height: 8px; background: var(--bg-tertiary);
border-radius: 4px; overflow: hidden;
}
.bar-fill { height: 100%; border-radius: 4px; transition: width 0.3s; }
.bar-fill.risk { background: var(--danger); }
.bar-fill.reward { background: var(--success); }
.insight-source {
padding: 0.1rem 0.5rem; background: var(--bg-tertiary);
border-radius: 4px; font-size: 0.75rem; font-weight: 600;
}
.insight-domain {
padding: 0.1rem 0.5rem; background: rgba(139, 92, 246, 0.15);
color: #8b5cf6; border-radius: 4px; font-size: 0.75rem;
}
.insight-confidence { font-size: 0.75rem; color: var(--accent); margin-left: auto; }
/* ========== Settings Page ========== */
.settings-section {
background: var(--card-bg); border: 1px solid var(--border);
border-radius: 8px; padding: 1.25rem; margin-bottom: 1rem;
}
.settings-section h3 { margin: 0 0 1rem; font-size: 1rem; }
.setting-row {
display: flex; align-items: center; justify-content: space-between;
padding: 0.5rem 0; border-bottom: 1px solid var(--border);
}
.setting-row:last-child { border-bottom: none; }
.setting-row label { font-size: 0.9rem; color: var(--text-secondary); }
.setting-row select {
padding: 0.4rem 0.75rem; background: var(--input-bg);
border: 1px solid var(--border); border-radius: 6px;
color: var(--text-primary); font-size: 0.85rem;
}
.theme-toggle {
padding: 0.4rem 0.75rem; background: var(--bg-tertiary);
border: 1px solid var(--border); border-radius: 6px;
color: var(--text-primary); cursor: pointer; font-size: 0.85rem;
}
.slider-row {
display: flex; align-items: center; gap: 0.75rem;
padding: 0.5rem 0; border-bottom: 1px solid var(--border);
}
.slider-row:last-child { border-bottom: none; }
.slider-row label { flex: 0 0 120px; font-size: 0.9rem; color: var(--text-secondary); }
.slider-row input[type="range"] { flex: 1; }
.slider-value { width: 35px; text-align: right; font-size: 0.85rem; color: var(--accent); }
.save-btn {
padding: 0.6rem 1.5rem; background: var(--accent);
border: none; border-radius: 8px; color: white;
cursor: pointer; font-weight: 600; font-size: 0.9rem;
}
.save-btn:hover { background: var(--accent-hover); }
/* ========== Utilities ========== */
.muted { color: var(--text-muted); font-size: 0.85rem; }
.error-banner {
padding: 0.5rem 1rem; background: rgba(239, 68, 68, 0.1);
border: 1px solid var(--danger); border-radius: 6px;
color: var(--danger); font-size: 0.85rem;
margin-bottom: 1rem; cursor: pointer;
}
.page-loading {
flex: 1; display: flex; align-items: center; justify-content: center;
color: var(--text-muted); font-size: 0.9rem;
}
.claim {
font-size: 0.8rem;
margin-bottom: 0.3rem;
padding: 0.3rem 0;
/* ========== Responsive ========== */
@media (max-width: 768px) {
.header { flex-direction: column; gap: 0.5rem; padding: 0.5rem 1rem; }
.header-left { width: 100%; justify-content: space-between; }
.header-right { width: 100%; justify-content: flex-end; }
.consensus-panel { display: none; }
.avatar-grid { grid-template-columns: repeat(4, 1fr); }
.messages { padding: 0.75rem; }
.message { max-width: 95%; }
.admin-page, .ethics-page, .settings-page { padding: 1rem; }
.status-grid { grid-template-columns: repeat(2, 1fr); }
.add-form { flex-direction: column; }
.setting-row { flex-direction: column; align-items: flex-start; gap: 0.5rem; }
}
.claim.disputed {
color: #f97316;
}
.safety-report {
font-size: 0.8rem;
color: #71717a;
@media (max-width: 480px) {
.avatar-grid { grid-template-columns: repeat(3, 1fr); }
.nav-tabs button { font-size: 0.75rem; padding: 0.3rem 0.5rem; }
.mode-toggle { display: none; }
}

View File

@@ -1,153 +1,277 @@
import { useState, useCallback } from 'react'
import { useState, useCallback, useEffect, useRef } from 'react'
import { AvatarGrid } from './components/AvatarGrid'
import { ConsensusPanel } from './components/ConsensusPanel'
import { ChatMessage } from './components/ChatMessage'
import type { HeadContribution, FinalResponse } from './types'
import { AdminPage } from './pages/AdminPage'
import { EthicsPage } from './pages/EthicsPage'
import { SettingsPage } from './pages/SettingsPage'
import { LoginPage } from './pages/LoginPage'
import { useTheme } from './hooks/useTheme'
import { useAuth } from './hooks/useAuth'
import { useWebSocket } from './hooks/useWebSocket'
import { useVoicePlayback } from './hooks/useVoicePlayback'
import type { FinalResponse, Page, ViewMode, WSEvent } from './types'
import './App.css'
type ViewMode = 'normal' | 'explain' | 'developer'
const HEAD_IDS = [
'logic', 'research', 'systems', 'strategy', 'product',
'security', 'safety', 'reliability', 'cost', 'data', 'devex', 'witness',
]
function App() {
const { theme, toggle: toggleTheme } = useTheme()
const { token, error: authError, setError: setAuthError, login, logout, authHeaders, isAuthenticated } = useAuth()
const [page, setPage] = useState<Page>('chat')
const [sessionId, setSessionId] = useState<string | null>(null)
const [prompt, setPrompt] = useState('')
const [messages, setMessages] = useState<{ role: 'user' | 'assistant'; content: string; data?: FinalResponse }[]>([])
const [loading, setLoading] = useState(false)
const [activeHeads, setActiveHeads] = useState<string[]>([])
const [speakingHead, setSpeakingHead] = useState<string | null>(null) // current head "speaking" in UI
const [headSummaries, setHeadSummaries] = useState<Record<string, string>>({})
const [viewMode, setViewMode] = useState<ViewMode>('normal')
const [lastResponse, setLastResponse] = useState<FinalResponse | null>(null)
const [networkError, setNetworkError] = useState<string | null>(null)
const [useStreaming, setUseStreaming] = useState(false)
const messagesEndRef = useRef<HTMLDivElement>(null)
const { speakingHead, headSummaries, onHeadSpeak, clearSpeaking } = useVoicePlayback()
const ws = useWebSocket(sessionId)
useEffect(() => {
messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' })
}, [messages])
// Handle WS events
useEffect(() => {
if (ws.events.length === 0) return
const last = ws.events[ws.events.length - 1]
handleWSEvent(last)
}, [ws.events])
const handleWSEvent = (event: WSEvent) => {
switch (event.type) {
case 'heads_running':
setActiveHeads(HEAD_IDS.slice(0, 6))
break
case 'head_complete':
if (event.head_id && event.summary) {
onHeadSpeak(event.head_id, event.summary, null)
}
break
case 'head_speak':
if (event.head_id && event.summary) {
onHeadSpeak(event.head_id, event.summary, event.audio_base64)
}
break
case 'witness_running':
clearSpeaking()
break
case 'complete':
if (event.final_answer) {
const resp: FinalResponse = {
final_answer: event.final_answer,
transparency_report: event.transparency_report!,
head_contributions: event.head_contributions || [],
confidence_score: event.confidence_score || 0,
}
setLastResponse(resp)
setMessages((m) => [...m, { role: 'assistant', content: event.final_answer!, data: resp }])
}
setLoading(false)
setActiveHeads([])
break
case 'error':
setMessages((m) => [...m, { role: 'assistant', content: `Error: ${event.message}` }])
setLoading(false)
setActiveHeads([])
break
}
}
const parseJson = useCallback(async (r: Response) => {
const text = await r.text()
if (!text.trim()) throw new Error('Empty response from API')
try {
return JSON.parse(text)
} catch {
throw new Error(`Invalid JSON from API: ${text.slice(0, 100)}`)
}
try { return JSON.parse(text) } catch { throw new Error(`Invalid JSON: ${text.slice(0, 100)}`) }
}, [])
const ensureSession = useCallback(async () => {
if (sessionId) return sessionId
const r = await fetch('/v1/sessions', { method: 'POST' })
const j = await parseJson(r)
if (!j.session_id) throw new Error('No session_id in response')
setSessionId(j.session_id)
return j.session_id
}, [sessionId, parseJson])
try {
const r = await fetch('/v1/sessions', { method: 'POST', headers: authHeaders() })
if (!r.ok) throw new Error(`Session creation failed: ${r.status}`)
const j = await parseJson(r)
if (!j.session_id) throw new Error('No session_id in response')
setSessionId(j.session_id)
setNetworkError(null)
return j.session_id
} catch (e) {
setNetworkError((e as Error).message)
return null
}
}, [sessionId, parseJson, authHeaders])
const handleSubmit = useCallback(async () => {
if (!prompt.trim()) return
if (!prompt.trim() || loading) return
const sid = await ensureSession()
if (!sid) return
setMessages((m) => [...m, { role: 'user', content: prompt }])
const currentPrompt = prompt
setPrompt('')
setLoading(true)
setSpeakingHead(null)
setActiveHeads(['logic', 'research', 'strategy', 'security', 'safety'])
setNetworkError(null)
clearSpeaking()
setActiveHeads(HEAD_IDS.slice(0, 6))
try {
const r = await fetch(`/v1/sessions/${sid}/prompt`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ prompt }),
})
const data = await parseJson(r)
if (!r.ok) throw new Error(data.detail || 'Request failed')
if (useStreaming && ws.status === 'connected') {
ws.send({ prompt: currentPrompt })
} else {
try {
const r = await fetch(`/v1/sessions/${sid}/prompt`, {
method: 'POST',
headers: authHeaders(),
body: JSON.stringify({ prompt: currentPrompt }),
})
const data = await parseJson(r)
if (!r.ok) throw new Error(data.detail || `Request failed: ${r.status}`)
setLastResponse(data)
if (data.response_mode === 'show_dissent' || data.response_mode === 'explain') {
setViewMode('explain')
setLastResponse(data)
if (data.response_mode === 'show_dissent' || data.response_mode === 'explain') {
setViewMode('explain')
}
const contribs = data.head_contributions || []
contribs.forEach((c: { head_id: string; summary: string }) =>
onHeadSpeak(c.head_id, c.summary, null))
setMessages((m) => [...m, { role: 'assistant', content: data.final_answer, data }])
setNetworkError(null)
} catch (e) {
const msg = (e as Error).message
setNetworkError(msg)
setMessages((m) => [...m, { role: 'assistant', content: `Error: ${msg}` }])
} finally {
setLoading(false)
setActiveHeads([])
}
const contribs = data.head_contributions || []
setHeadSummaries(
Object.fromEntries(contribs.map((c: { head_id: string; summary: string }) => [c.head_id, c.summary]))
)
setSpeakingHead(contribs[0]?.head_id ?? null)
setMessages((m) => [
...m,
{
role: 'assistant',
content: data.final_answer,
data,
},
])
} catch (e) {
setMessages((m) => [
...m,
{ role: 'assistant', content: `Error: ${(e as Error).message}`, data: undefined },
])
} finally {
setLoading(false)
setActiveHeads([])
}
}, [prompt, ensureSession, parseJson])
}, [prompt, loading, ensureSession, useStreaming, ws, authHeaders, parseJson, clearSpeaking, onHeadSpeak])
const HEAD_IDS = [
'logic', 'research', 'systems', 'strategy', 'product',
'security', 'safety', 'reliability', 'cost', 'data', 'devex', 'witness',
]
const handleRetry = () => {
if (messages.length >= 2) {
const lastUser = [...messages].reverse().find((m) => m.role === 'user')
if (lastUser) {
setPrompt(lastUser.content)
setNetworkError(null)
}
}
}
// Login screen
if (!isAuthenticated && !token && token !== '') {
return <LoginPage onLogin={login} error={authError} />
}
return (
<div className="app">
<div className="app" data-theme={theme}>
<header className="header">
<h1>FusionAGI Dvādaśa</h1>
<div className="mode-toggle">
{(['normal', 'explain', 'developer'] as const).map((m) => (
<button
key={m}
className={viewMode === m ? 'active' : ''}
onClick={() => setViewMode(m)}
>
{m}
</button>
))}
<div className="header-left">
<h1 className="logo">FusionAGI</h1>
<nav className="nav-tabs">
{(['chat', 'admin', 'ethics', 'settings'] as Page[]).map((p) => (
<button key={p} className={page === p ? 'active' : ''} onClick={() => setPage(p)}>
{p === 'chat' ? 'Chat' : p === 'admin' ? 'Admin' : p === 'ethics' ? 'Ethics' : 'Settings'}
</button>
))}
</nav>
</div>
<div className="header-right">
{page === 'chat' && (
<div className="mode-toggle">
{(['normal', 'explain', 'developer'] as const).map((m) => (
<button key={m} className={viewMode === m ? 'active' : ''} onClick={() => setViewMode(m)}>
{m}
</button>
))}
</div>
)}
<button className="icon-btn" onClick={toggleTheme} title={`Switch to ${theme === 'dark' ? 'light' : 'dark'} mode`}>
{theme === 'dark' ? '\u2600' : '\u263E'}
</button>
{token && <button className="icon-btn" onClick={logout} title="Logout">Exit</button>}
</div>
</header>
<div className="main">
<div className="chat-area">
<AvatarGrid
headIds={HEAD_IDS}
activeHeads={activeHeads}
speakingHead={speakingHead}
headSummaries={headSummaries}
/>
<div className="messages">
{messages.map((msg, i) => (
<ChatMessage
key={i}
message={msg}
viewMode={viewMode}
/>
))}
{loading && <div className="loading">Heads running</div>}
</div>
<div className="input-row">
<input
id="prompt-input"
name="prompt"
type="text"
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
onKeyDown={(e) => e.key === 'Enter' && handleSubmit()}
placeholder="Ask FusionAGI… (/head strategy, /show dissent)"
autoComplete="off"
aria-label="Ask FusionAGI"
/>
<button onClick={handleSubmit} disabled={loading}>
Send
</button>
</div>
{networkError && (
<div className="error-bar">
<span>{networkError}</span>
<button onClick={handleRetry}>Retry</button>
<button onClick={() => setNetworkError(null)}>Dismiss</button>
</div>
<ConsensusPanel
response={lastResponse}
viewMode={viewMode}
expanded={viewMode !== 'normal'}
/>
</div>
)}
<main className="main">
{page === 'chat' && (
<div className="chat-layout">
<div className="chat-area">
<AvatarGrid
headIds={HEAD_IDS}
activeHeads={activeHeads}
speakingHead={speakingHead}
headSummaries={headSummaries}
/>
<div className="messages">
{messages.length === 0 && (
<div className="empty-state">
<h2>Welcome to FusionAGI Dvādaśa</h2>
<p>12 specialized heads analyze your query from every angle. Ask anything.</p>
<div className="suggestions">
{['Explain quantum entanglement', 'Design a microservice architecture', 'Analyze the ethics of AI autonomy'].map((s) => (
<button key={s} className="suggestion" onClick={() => { setPrompt(s); }}>
{s}
</button>
))}
</div>
</div>
)}
{messages.map((msg, i) => (
<ChatMessage key={i} message={msg} viewMode={viewMode} />
))}
{loading && (
<div className="loading-indicator">
<div className="loading-dots"><span /><span /><span /></div>
<span>Heads analyzing...</span>
</div>
)}
<div ref={messagesEndRef} />
</div>
<div className="input-area">
<div className="input-row">
<input
type="text"
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
onKeyDown={(e) => e.key === 'Enter' && !e.shiftKey && handleSubmit()}
placeholder="Ask FusionAGI... (/head strategy, /show dissent)"
autoComplete="off"
disabled={loading}
/>
<button onClick={handleSubmit} disabled={loading || !prompt.trim()} className="send-btn">
Send
</button>
</div>
<div className="input-meta">
<label className="streaming-toggle">
<input type="checkbox" checked={useStreaming} onChange={(e) => setUseStreaming(e.target.checked)} />
<span>Stream</span>
</label>
{sessionId && <span className="session-id">Session: {sessionId.slice(0, 8)}...</span>}
</div>
</div>
</div>
<ConsensusPanel response={lastResponse} viewMode={viewMode} expanded={viewMode !== 'normal'} />
</div>
)}
{page === 'admin' && <AdminPage authHeaders={authHeaders} />}
{page === 'ethics' && <EthicsPage authHeaders={authHeaders} />}
{page === 'settings' && <SettingsPage theme={theme} toggleTheme={toggleTheme} authHeaders={authHeaders} />}
</main>
</div>
)
}

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import { describe, it, expect, beforeEach } from 'vitest'
import { renderHook, act } from '@testing-library/react'
import { useAuth } from './useAuth'
describe('useAuth', () => {
beforeEach(() => {
localStorage.clear()
})
it('starts unauthenticated', () => {
const { result } = renderHook(() => useAuth())
expect(result.current.isAuthenticated).toBe(false)
expect(result.current.token).toBeNull()
})
it('login sets token and persists', () => {
const { result } = renderHook(() => useAuth())
act(() => result.current.login('test-api-key'))
expect(result.current.isAuthenticated).toBe(true)
expect(result.current.token).toBe('test-api-key')
expect(localStorage.getItem('fusionagi-token')).toBe('test-api-key')
})
it('logout clears token', () => {
const { result } = renderHook(() => useAuth())
act(() => result.current.login('test-key'))
act(() => result.current.logout())
expect(result.current.isAuthenticated).toBe(false)
expect(localStorage.getItem('fusionagi-token')).toBeNull()
})
it('authHeaders includes bearer token when authenticated', () => {
const { result } = renderHook(() => useAuth())
act(() => result.current.login('my-key'))
const headers = result.current.authHeaders()
expect(headers['Authorization']).toBe('Bearer my-key')
})
it('authHeaders has no auth when unauthenticated', () => {
const { result } = renderHook(() => useAuth())
const headers = result.current.authHeaders()
expect(headers['Authorization']).toBeUndefined()
})
it('restores token from localStorage', () => {
localStorage.setItem('fusionagi-token', 'saved-key')
const { result } = renderHook(() => useAuth())
expect(result.current.isAuthenticated).toBe(true)
expect(result.current.token).toBe('saved-key')
})
})

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import { useState, useCallback } from 'react'
export function useAuth() {
const [token, setToken] = useState<string | null>(() =>
localStorage.getItem('fusionagi-token')
)
const [error, setError] = useState<string | null>(null)
const login = useCallback((apiKey: string) => {
localStorage.setItem('fusionagi-token', apiKey)
setToken(apiKey)
setError(null)
}, [])
const logout = useCallback(() => {
localStorage.removeItem('fusionagi-token')
setToken(null)
}, [])
const authHeaders = useCallback((): Record<string, string> => {
const headers: Record<string, string> = { 'Content-Type': 'application/json' }
if (token) headers['Authorization'] = `Bearer ${token}`
return headers
}, [token])
return { token, error, setError, login, logout, authHeaders, isAuthenticated: !!token }
}

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import { describe, it, expect, beforeEach } from 'vitest'
import { renderHook, act } from '@testing-library/react'
import { useTheme } from './useTheme'
describe('useTheme', () => {
beforeEach(() => {
localStorage.clear()
})
it('defaults to dark theme', () => {
const { result } = renderHook(() => useTheme())
expect(result.current.theme).toBe('dark')
})
it('toggles between dark and light', () => {
const { result } = renderHook(() => useTheme())
act(() => result.current.toggle())
expect(result.current.theme).toBe('light')
act(() => result.current.toggle())
expect(result.current.theme).toBe('dark')
})
it('persists to localStorage', () => {
const { result } = renderHook(() => useTheme())
act(() => result.current.toggle())
expect(localStorage.getItem('fusionagi-theme')).toBe('light')
})
it('restores from localStorage', () => {
localStorage.setItem('fusionagi-theme', 'light')
const { result } = renderHook(() => useTheme())
expect(result.current.theme).toBe('light')
})
})

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import { useState, useEffect, useCallback } from 'react'
import type { Theme } from '../types'
export function useTheme() {
const [theme, setTheme] = useState<Theme>(() => {
const saved = localStorage.getItem('fusionagi-theme')
return (saved === 'light' ? 'light' : 'dark') as Theme
})
useEffect(() => {
document.documentElement.setAttribute('data-theme', theme)
localStorage.setItem('fusionagi-theme', theme)
}, [theme])
const toggle = useCallback(() => {
setTheme((t) => (t === 'dark' ? 'light' : 'dark'))
}, [])
return { theme, setTheme, toggle }
}

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import { useState, useCallback, useRef, useEffect } from 'react'
import type { WSEvent } from '../types'
type WSStatus = 'disconnected' | 'connecting' | 'connected' | 'error'
export function useWebSocket(sessionId: string | null) {
const [status, setStatus] = useState<WSStatus>('disconnected')
const [events, setEvents] = useState<WSEvent[]>([])
const wsRef = useRef<WebSocket | null>(null)
const connect = useCallback((sid: string) => {
if (wsRef.current) wsRef.current.close()
setStatus('connecting')
const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:'
const ws = new WebSocket(`${protocol}//${window.location.host}/v1/sessions/${sid}/stream`)
wsRef.current = ws
ws.onopen = () => setStatus('connected')
ws.onclose = () => setStatus('disconnected')
ws.onerror = () => setStatus('error')
ws.onmessage = (e) => {
try {
const event: WSEvent = JSON.parse(e.data)
setEvents((prev) => [...prev, event])
} catch { /* ignore malformed */ }
}
}, [])
const send = useCallback((data: Record<string, unknown>) => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify(data))
}
}, [])
const disconnect = useCallback(() => {
wsRef.current?.close()
wsRef.current = null
setStatus('disconnected')
}, [])
const clearEvents = useCallback(() => setEvents([]), [])
useEffect(() => () => { wsRef.current?.close() }, [])
return { status, events, connect, send, disconnect, clearEvents }
}

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import { useState, useEffect, useCallback } from 'react'
import type { SystemStatus, VoiceProfile } from '../types'
function StatusCard({ label, value, unit }: { label: string; value: string | number | null; unit?: string }) {
return (
<div className="status-card">
<span className="status-label">{label}</span>
<span className="status-value">{value ?? 'N/A'}{unit && value != null ? unit : ''}</span>
</div>
)
}
export function AdminPage({ authHeaders }: { authHeaders: () => Record<string, string> }) {
const [status, setStatus] = useState<SystemStatus | null>(null)
const [voices, setVoices] = useState<VoiceProfile[]>([])
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
const [newVoiceName, setNewVoiceName] = useState('')
const [newVoiceLang, setNewVoiceLang] = useState('en-US')
const [tab, setTab] = useState<'overview' | 'voices' | 'agents' | 'governance'>('overview')
const fetchStatus = useCallback(async () => {
try {
const r = await fetch('/v1/admin/status', { headers: authHeaders() })
if (r.ok) setStatus(await r.json())
} catch { /* offline */ }
}, [authHeaders])
const fetchVoices = useCallback(async () => {
try {
const r = await fetch('/v1/admin/voices', { headers: authHeaders() })
if (r.ok) setVoices(await r.json())
} catch { /* offline */ }
}, [authHeaders])
useEffect(() => {
setLoading(true)
Promise.all([fetchStatus(), fetchVoices()]).finally(() => setLoading(false))
const interval = setInterval(fetchStatus, 10000)
return () => clearInterval(interval)
}, [fetchStatus, fetchVoices])
const addVoice = async () => {
if (!newVoiceName.trim()) return
try {
const r = await fetch('/v1/admin/voices', {
method: 'POST',
headers: authHeaders(),
body: JSON.stringify({ name: newVoiceName, language: newVoiceLang }),
})
if (r.ok) {
setNewVoiceName('')
fetchVoices()
} else {
setError('Failed to add voice')
}
} catch { setError('Network error') }
}
const formatUptime = (s: number) => {
const h = Math.floor(s / 3600)
const m = Math.floor((s % 3600) / 60)
return `${h}h ${m}m`
}
if (loading) return <div className="page-loading">Loading admin dashboard...</div>
return (
<div className="admin-page">
<div className="admin-tabs">
{(['overview', 'voices', 'agents', 'governance'] as const).map((t) => (
<button key={t} className={tab === t ? 'active' : ''} onClick={() => setTab(t)}>
{t.charAt(0).toUpperCase() + t.slice(1)}
</button>
))}
</div>
{error && <div className="error-banner" onClick={() => setError(null)}>{error}</div>}
{tab === 'overview' && (
<div className="admin-section">
<h2>System Overview</h2>
<div className="status-grid">
<StatusCard label="Status" value={status?.status ?? 'unknown'} />
<StatusCard label="Uptime" value={status ? formatUptime(status.uptime_seconds) : 'N/A'} />
<StatusCard label="Active Tasks" value={status?.active_tasks ?? 0} />
<StatusCard label="Active Agents" value={status?.active_agents ?? 0} />
<StatusCard label="Sessions" value={status?.active_sessions ?? 0} />
<StatusCard label="Memory" value={status?.memory_usage_mb} unit=" MB" />
<StatusCard label="CPU" value={status?.cpu_usage_percent} unit="%" />
</div>
</div>
)}
{tab === 'voices' && (
<div className="admin-section">
<h2>Voice Library</h2>
<div className="add-form">
<input placeholder="Voice name" value={newVoiceName} onChange={(e) => setNewVoiceName(e.target.value)} />
<select value={newVoiceLang} onChange={(e) => setNewVoiceLang(e.target.value)}>
<option value="en-US">English (US)</option>
<option value="en-GB">English (UK)</option>
<option value="es-ES">Spanish</option>
<option value="fr-FR">French</option>
<option value="de-DE">German</option>
<option value="ja-JP">Japanese</option>
</select>
<button onClick={addVoice}>Add Voice</button>
</div>
<div className="voice-list">
{voices.length === 0 && <p className="muted">No voice profiles configured</p>}
{voices.map((v) => (
<div key={v.id} className="voice-card">
<strong>{v.name}</strong>
<span className="muted">{v.language} | {v.provider}</span>
<span className="muted">Pitch: {v.pitch}x | Speed: {v.speed}x</span>
</div>
))}
</div>
</div>
)}
{tab === 'agents' && (
<div className="admin-section">
<h2>Agent Configuration</h2>
<div className="agent-grid">
{['Planner', 'Reasoner', 'Executor', 'Critic', '12 Heads', 'Witness'].map((a) => (
<div key={a} className="agent-card">
<strong>{a}</strong>
<span className="status-badge active">Active</span>
</div>
))}
</div>
</div>
)}
{tab === 'governance' && (
<div className="admin-section">
<h2>Governance Mode</h2>
<div className="governance-info">
<div className="governance-mode">
<span className="mode-label">Current Mode:</span>
<span className="mode-value advisory">ADVISORY</span>
</div>
<p className="muted">
All governance checks are advisory violations are logged but actions proceed.
The system learns from outcomes through the Consequence Engine and Adaptive Ethics.
</p>
</div>
<h3>Audit Trail</h3>
<p className="muted">Full audit trail available via /v1/admin/telemetry endpoint</p>
</div>
)}
</div>
)
}

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import { useState, useEffect, useCallback } from 'react'
import type { EthicalLesson, ConsequenceRecord, InsightRecord } from '../types'
export function EthicsPage({ authHeaders }: { authHeaders: () => Record<string, string> }) {
const [lessons, setLessons] = useState<EthicalLesson[]>([])
const [consequences, setConsequences] = useState<ConsequenceRecord[]>([])
const [insights, setInsights] = useState<InsightRecord[]>([])
const [tab, setTab] = useState<'ethics' | 'consequences' | 'insights'>('ethics')
const [loading, setLoading] = useState(true)
const fetchData = useCallback(async () => {
try {
const [ethR, conR, insR] = await Promise.all([
fetch('/v1/admin/ethics', { headers: authHeaders() }).catch(() => null),
fetch('/v1/admin/consequences', { headers: authHeaders() }).catch(() => null),
fetch('/v1/admin/insights', { headers: authHeaders() }).catch(() => null),
])
if (ethR?.ok) setLessons(await ethR.json())
if (conR?.ok) setConsequences(await conR.json())
if (insR?.ok) setInsights(await insR.json())
} catch { /* offline */ }
}, [authHeaders])
useEffect(() => {
setLoading(true)
fetchData().finally(() => setLoading(false))
}, [fetchData])
if (loading) return <div className="page-loading">Loading ethics dashboard...</div>
return (
<div className="ethics-page">
<div className="admin-tabs">
{(['ethics', 'consequences', 'insights'] as const).map((t) => (
<button key={t} className={tab === t ? 'active' : ''} onClick={() => setTab(t)}>
{t.charAt(0).toUpperCase() + t.slice(1)}
</button>
))}
</div>
{tab === 'ethics' && (
<div className="admin-section">
<h2>Adaptive Ethics Learned Lessons</h2>
{lessons.length === 0 ? (
<p className="muted">No ethical lessons recorded yet. The system learns from choices and their consequences.</p>
) : (
<div className="lesson-list">
{lessons.map((l, i) => (
<div key={i} className="lesson-card">
<div className="lesson-header">
<strong>{l.action_type}</strong>
<span className={`weight-badge ${l.weight > 1 ? 'high' : l.weight < 0 ? 'negative' : ''}`}>
Weight: {l.weight.toFixed(2)}
</span>
</div>
<p className="muted">{l.context_summary}</p>
<div className="lesson-meta">
<span>Advisory: {l.advisory_reason}</span>
<span>Proceeded: {l.proceeded ? 'Yes' : 'No'}</span>
<span>Outcome: {l.outcome_positive === null ? 'Pending' : l.outcome_positive ? 'Positive' : 'Negative'}</span>
<span>Occurrences: {l.occurrences}</span>
</div>
</div>
))}
</div>
)}
</div>
)}
{tab === 'consequences' && (
<div className="admin-section">
<h2>Consequence Engine Choice History</h2>
{consequences.length === 0 ? (
<p className="muted">No consequences recorded yet. Every choice creates a consequence record.</p>
) : (
<div className="consequence-list">
{consequences.map((c, i) => (
<div key={i} className="consequence-card">
<div className="consequence-header">
<strong>{c.action_taken}</strong>
{c.outcome_positive !== null && (
<span className={`outcome-badge ${c.outcome_positive ? 'positive' : 'negative'}`}>
{c.outcome_positive ? 'Positive' : 'Negative'}
</span>
)}
</div>
<div className="risk-reward-bar">
<div className="bar-label">Risk</div>
<div className="bar-track">
<div className="bar-fill risk" style={{ width: `${c.estimated_risk * 100}%` }} />
</div>
<span>{(c.estimated_risk * 100).toFixed(0)}%</span>
</div>
<div className="risk-reward-bar">
<div className="bar-label">Reward</div>
<div className="bar-track">
<div className="bar-fill reward" style={{ width: `${c.estimated_reward * 100}%` }} />
</div>
<span>{(c.estimated_reward * 100).toFixed(0)}%</span>
</div>
{c.surprise_factor !== null && (
<span className="muted">Surprise factor: {c.surprise_factor.toFixed(2)}</span>
)}
</div>
))}
</div>
)}
</div>
)}
{tab === 'insights' && (
<div className="admin-section">
<h2>InsightBus Cross-Head Learning</h2>
{insights.length === 0 ? (
<p className="muted">No cross-head insights yet. Heads share observations through the InsightBus.</p>
) : (
<div className="insight-list">
{insights.map((ins, i) => (
<div key={i} className="insight-card">
<div className="insight-header">
<span className="insight-source">{ins.source}</span>
{ins.domain && <span className="insight-domain">{ins.domain}</span>}
<span className="insight-confidence">{(ins.confidence * 100).toFixed(0)}%</span>
</div>
<p>{ins.message}</p>
</div>
))}
</div>
)}
</div>
)}
</div>
)
}

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import { useState } from 'react'
interface LoginPageProps {
onLogin: (token: string) => void
error: string | null
}
export function LoginPage({ onLogin, error }: LoginPageProps) {
const [apiKey, setApiKey] = useState('')
const handleSubmit = (e: React.FormEvent) => {
e.preventDefault()
if (apiKey.trim()) onLogin(apiKey.trim())
}
return (
<div className="login-page">
<div className="login-card">
<h1>FusionAGI</h1>
<p className="muted">Enter your API key to connect</p>
{error && <div className="error-banner">{error}</div>}
<form onSubmit={handleSubmit}>
<input
type="password"
placeholder="API Key (Bearer token)"
value={apiKey}
onChange={(e) => setApiKey(e.target.value)}
autoFocus
/>
<button type="submit" disabled={!apiKey.trim()}>Connect</button>
</form>
<p className="muted small">
No API key? Set FUSIONAGI_API_KEY env var on the server, or leave blank for open access.
</p>
<button className="skip-btn" onClick={() => onLogin('')}>
Skip (no auth)
</button>
</div>
</div>
)
}

View File

@@ -0,0 +1,89 @@
import { useState } from 'react'
import type { ConversationStyle, Theme } from '../types'
interface SettingsPageProps {
theme: Theme
toggleTheme: () => void
authHeaders: () => Record<string, string>
}
function Slider({ label, value, onChange, min = 0, max = 1, step = 0.1 }: {
label: string; value: number; onChange: (v: number) => void; min?: number; max?: number; step?: number
}) {
return (
<div className="slider-row">
<label>{label}</label>
<input type="range" min={min} max={max} step={step} value={value}
onChange={(e) => onChange(parseFloat(e.target.value))} />
<span className="slider-value">{value.toFixed(1)}</span>
</div>
)
}
export function SettingsPage({ theme, toggleTheme, authHeaders }: SettingsPageProps) {
const [style, setStyle] = useState<ConversationStyle>({
formality: 'neutral',
verbosity: 'balanced',
empathy_level: 0.7,
proactivity: 0.5,
humor_level: 0.3,
technical_depth: 0.5,
})
const [saved, setSaved] = useState(false)
const saveSettings = async () => {
try {
await fetch('/v1/admin/conversation-style', {
method: 'POST',
headers: authHeaders(),
body: JSON.stringify(style),
})
setSaved(true)
setTimeout(() => setSaved(false), 2000)
} catch { /* offline */ }
}
return (
<div className="settings-page">
<h2>Settings</h2>
<div className="settings-section">
<h3>Appearance</h3>
<div className="setting-row">
<label>Theme</label>
<button className="theme-toggle" onClick={toggleTheme}>
{theme === 'dark' ? 'Switch to Light' : 'Switch to Dark'}
</button>
</div>
</div>
<div className="settings-section">
<h3>Conversation Style</h3>
<div className="setting-row">
<label>Formality</label>
<select value={style.formality} onChange={(e) => setStyle({ ...style, formality: e.target.value as ConversationStyle['formality'] })}>
<option value="casual">Casual</option>
<option value="neutral">Neutral</option>
<option value="formal">Formal</option>
</select>
</div>
<div className="setting-row">
<label>Verbosity</label>
<select value={style.verbosity} onChange={(e) => setStyle({ ...style, verbosity: e.target.value as ConversationStyle['verbosity'] })}>
<option value="concise">Concise</option>
<option value="balanced">Balanced</option>
<option value="detailed">Detailed</option>
</select>
</div>
<Slider label="Empathy" value={style.empathy_level} onChange={(v) => setStyle({ ...style, empathy_level: v })} />
<Slider label="Proactivity" value={style.proactivity} onChange={(v) => setStyle({ ...style, proactivity: v })} />
<Slider label="Humor" value={style.humor_level} onChange={(v) => setStyle({ ...style, humor_level: v })} />
<Slider label="Technical Depth" value={style.technical_depth} onChange={(v) => setStyle({ ...style, technical_depth: v })} />
</div>
<button className="save-btn" onClick={saveSettings}>
{saved ? 'Saved' : 'Save Settings'}
</button>
</div>
)
}

View File

@@ -0,0 +1 @@
import '@testing-library/jest-dom'

View File

@@ -2,6 +2,7 @@ export interface HeadContribution {
head_id: string
summary: string
key_claims?: string[]
confidence?: number
}
export interface AgreementMap {
@@ -18,8 +19,82 @@ export interface TransparencyReport {
}
export interface FinalResponse {
task_id?: string
final_answer: string
transparency_report: TransparencyReport
head_contributions: HeadContribution[]
confidence_score: number
response_mode?: string
}
export interface WSEvent {
type: 'heads_running' | 'head_complete' | 'head_speak' | 'witness_running' | 'complete' | 'error'
message?: string
head_id?: string
summary?: string
audio_base64?: string | null
final_answer?: string
transparency_report?: TransparencyReport
head_contributions?: HeadContribution[]
confidence_score?: number
}
export interface VoiceProfile {
id: string
name: string
language: string
gender: string | null
style: string | null
pitch: number
speed: number
provider: string
}
export interface ConversationStyle {
formality: 'casual' | 'neutral' | 'formal'
verbosity: 'concise' | 'balanced' | 'detailed'
empathy_level: number
proactivity: number
humor_level: number
technical_depth: number
}
export interface SystemStatus {
status: 'healthy' | 'degraded' | 'offline'
uptime_seconds: number
active_tasks: number
active_agents: number
active_sessions: number
memory_usage_mb: number | null
cpu_usage_percent: number | null
}
export interface EthicalLesson {
action_type: string
context_summary: string
advisory_reason: string
weight: number
occurrences: number
proceeded: boolean
outcome_positive: boolean | null
}
export interface ConsequenceRecord {
choice_id: string
action_taken: string
estimated_risk: number
estimated_reward: number
outcome_positive: boolean | null
surprise_factor: number | null
}
export interface InsightRecord {
source: string
message: string
domain: string
confidence: number
}
export type Theme = 'dark' | 'light'
export type ViewMode = 'normal' | 'explain' | 'developer'
export type Page = 'chat' | 'admin' | 'ethics' | 'settings'

View File

@@ -1,3 +1,4 @@
/// <reference types="vitest" />
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
@@ -9,4 +10,9 @@ export default defineConfig({
"/v1": process.env.VITE_API_URL || "http://localhost:8000",
},
},
test: {
globals: true,
environment: 'jsdom',
setupFiles: './src/test-setup.ts',
},
})

View File

@@ -0,0 +1,138 @@
"""STT adapter: speech-to-text with Whisper, Azure, and stub implementations."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import Any
from fusionagi._logger import logger
class STTAdapter(ABC):
"""Abstract adapter for speech-to-text transcription."""
@abstractmethod
async def transcribe(
self,
audio_data: bytes,
*,
language: str = "en",
**kwargs: Any,
) -> str | None:
"""Transcribe audio bytes to text.
Args:
audio_data: Raw audio bytes (wav/mp3/ogg).
language: BCP-47 language code hint.
**kwargs: Provider-specific options.
Returns:
Transcribed text or None on failure.
"""
...
class StubSTTAdapter(STTAdapter):
"""Stub STT adapter for testing; returns placeholder text."""
async def transcribe(
self,
audio_data: bytes,
*,
language: str = "en",
**kwargs: Any,
) -> str | None:
logger.debug("StubSTT: transcribe called", extra={"audio_size": len(audio_data)})
return "[stub transcription]"
class WhisperSTTAdapter(STTAdapter):
"""OpenAI Whisper STT adapter.
Requires the ``openai`` package and an OpenAI API key.
"""
def __init__(self, api_key: str | None = None, model: str = "whisper-1") -> None:
self._api_key = api_key
self._model = model
async def transcribe(
self,
audio_data: bytes,
*,
language: str = "en",
**kwargs: Any,
) -> str | None:
try:
import io
import openai
client = openai.OpenAI(api_key=self._api_key)
audio_file = io.BytesIO(audio_data)
audio_file.name = "audio.wav"
transcript = client.audio.transcriptions.create(
model=self._model,
file=audio_file,
language=language,
)
return transcript.text
except ImportError:
logger.error("openai not installed; pip install fusionagi[openai]")
return None
except Exception as e:
logger.error("Whisper STT failed", extra={"error": str(e)})
return None
class AzureSTTAdapter(STTAdapter):
"""Azure Cognitive Services STT adapter.
Requires ``httpx`` and an Azure Speech Services key.
"""
def __init__(self, api_key: str, region: str = "eastus") -> None:
self._api_key = api_key
self._region = region
self._endpoint = f"https://{region}.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1"
async def transcribe(
self,
audio_data: bytes,
*,
language: str = "en-US",
**kwargs: Any,
) -> str | None:
try:
import httpx
headers = {
"Ocp-Apim-Subscription-Key": self._api_key,
"Content-Type": "audio/wav",
}
params = {"language": language}
async with httpx.AsyncClient() as client:
resp = await client.post(
self._endpoint,
headers=headers,
params=params,
content=audio_data,
timeout=30.0,
)
resp.raise_for_status()
data = resp.json()
return data.get("DisplayText") or data.get("RecognitionStatus")
except ImportError:
logger.error("httpx not installed; pip install httpx")
return None
except Exception as e:
logger.error("Azure STT failed", extra={"error": str(e)})
return None
__all__ = [
"STTAdapter",
"StubSTTAdapter",
"WhisperSTTAdapter",
"AzureSTTAdapter",
]

View File

@@ -1,7 +1,10 @@
"""FastAPI application factory for FusionAGI Dvādaśa API."""
"""FastAPI application factory for FusionAGI Dvādaśa API.
Includes versioned API negotiation, metrics, and CORS support."""
from __future__ import annotations
import json
import os
import time
from collections import defaultdict
@@ -10,6 +13,11 @@ from typing import Any
from fusionagi._logger import logger
from fusionagi.api.dependencies import SessionStore, default_orchestrator, set_app_state
from fusionagi.api.metrics import get_metrics, metrics_enabled
API_VERSION = "1"
SUPPORTED_VERSIONS = ["1"]
DEPRECATED_VERSIONS: list[str] = []
def create_app(
@@ -106,11 +114,68 @@ def create_app(
app.add_middleware(RateLimitMiddleware)
# --- Version negotiation middleware ---
class VersionMiddleware(BaseHTTPMiddleware):
"""API version negotiation via Accept-Version header.
Adds X-API-Version and deprecation warnings to responses.
"""
async def dispatch(self, request: Request, call_next: Any) -> Response:
requested = request.headers.get("accept-version", API_VERSION)
if requested not in SUPPORTED_VERSIONS:
return Response(
content=json.dumps({
"detail": f"Unsupported API version: {requested}",
"supported_versions": SUPPORTED_VERSIONS,
}),
status_code=400,
media_type="application/json",
)
response = await call_next(request)
response.headers["X-API-Version"] = requested
if requested in DEPRECATED_VERSIONS:
response.headers["Deprecation"] = "true"
response.headers["Sunset"] = "2026-12-31"
return response # type: ignore[no-any-return]
app.add_middleware(VersionMiddleware)
# --- Metrics middleware ---
if metrics_enabled():
class MetricsMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next: Any) -> Response:
m = get_metrics()
m.inc("http_requests_total", labels={"method": request.method, "path": request.url.path})
start = time.monotonic()
response = await call_next(request)
duration = time.monotonic() - start
m.observe("http_request_duration_seconds", duration, labels={"path": request.url.path})
m.inc("http_responses_total", labels={"status": str(response.status_code)})
return response # type: ignore[no-any-return]
app.add_middleware(MetricsMiddleware)
# --- Routes ---
from fusionagi.api.routes import router as api_router
app.include_router(api_router, prefix="/v1", tags=["dvadasa"])
# Metrics endpoint
if metrics_enabled():
@app.get("/metrics", tags=["monitoring"])
def metrics_endpoint() -> dict[str, Any]:
return get_metrics().snapshot()
# Version info endpoint
@app.get("/version", tags=["meta"])
def version_info() -> dict[str, Any]:
return {
"current_version": API_VERSION,
"supported_versions": SUPPORTED_VERSIONS,
"deprecated_versions": DEPRECATED_VERSIONS,
}
if cors_origins is not None:
try:
from fastapi.middleware.cors import CORSMiddleware

84
fusionagi/api/metrics.py Normal file
View File

@@ -0,0 +1,84 @@
"""Prometheus metrics for FusionAGI API.
Provides request counters, latency histograms, and system gauges.
Metrics are exposed at ``/metrics`` when ``FUSIONAGI_METRICS_ENABLED=true``.
"""
from __future__ import annotations
import os
import time
from typing import Any
class MetricsCollector:
"""Lightweight metrics collector (no external dependency required).
Stores counters and histograms in-memory. If ``prometheus_client``
is installed, registers native Prometheus metrics. Otherwise, returns
JSON-serializable dicts via ``snapshot()``.
"""
def __init__(self) -> None:
self._counters: dict[str, int] = {}
self._histograms: dict[str, list[float]] = {}
self._gauges: dict[str, float] = {}
self._start = time.monotonic()
def inc(self, name: str, value: int = 1, labels: dict[str, str] | None = None) -> None:
"""Increment a counter."""
key = self._key(name, labels)
self._counters[key] = self._counters.get(key, 0) + value
def observe(self, name: str, value: float, labels: dict[str, str] | None = None) -> None:
"""Record a histogram observation (e.g., latency)."""
key = self._key(name, labels)
self._histograms.setdefault(key, []).append(value)
if len(self._histograms[key]) > 10000:
self._histograms[key] = self._histograms[key][-5000:]
def set_gauge(self, name: str, value: float, labels: dict[str, str] | None = None) -> None:
"""Set a gauge value."""
self._gauges[self._key(name, labels)] = value
def snapshot(self) -> dict[str, Any]:
"""Return JSON-serializable metrics snapshot."""
hist_summary: dict[str, Any] = {}
for k, vals in self._histograms.items():
if vals:
sorted_vals = sorted(vals)
hist_summary[k] = {
"count": len(vals),
"mean": sum(vals) / len(vals),
"p50": sorted_vals[len(sorted_vals) // 2],
"p95": sorted_vals[int(len(sorted_vals) * 0.95)],
"p99": sorted_vals[int(len(sorted_vals) * 0.99)],
}
return {
"uptime_seconds": time.monotonic() - self._start,
"counters": dict(self._counters),
"histograms": hist_summary,
"gauges": dict(self._gauges),
}
def _key(self, name: str, labels: dict[str, str] | None) -> str:
if not labels:
return name
label_str = ",".join(f"{k}={v}" for k, v in sorted(labels.items()))
return f"{name}{{{label_str}}}"
_metrics: MetricsCollector | None = None
def get_metrics() -> MetricsCollector:
"""Get or create the global metrics collector."""
global _metrics
if _metrics is None:
_metrics = MetricsCollector()
return _metrics
def metrics_enabled() -> bool:
"""Check if metrics endpoint should be exposed."""
return os.environ.get("FUSIONAGI_METRICS_ENABLED", "false").lower() in ("true", "1", "yes")

View File

@@ -3,12 +3,20 @@
from fastapi import APIRouter
from fusionagi.api.routes.admin import router as admin_router
from fusionagi.api.routes.backup import router as backup_router
from fusionagi.api.routes.openai_compat import router as openai_compat_router
from fusionagi.api.routes.plugins import router as plugins_router
from fusionagi.api.routes.sessions import router as sessions_router
from fusionagi.api.routes.streaming import router as streaming_router
from fusionagi.api.routes.tenant import router as tenant_router
from fusionagi.api.routes.tts import router as tts_router
router = APIRouter()
router.include_router(sessions_router, prefix="/sessions", tags=["sessions"])
router.include_router(tts_router, prefix="/sessions", tags=["tts"])
router.include_router(streaming_router, tags=["streaming"])
router.include_router(admin_router, prefix="/admin", tags=["admin"])
router.include_router(tenant_router, prefix="/admin", tags=["tenants"])
router.include_router(plugins_router, prefix="/admin", tags=["plugins"])
router.include_router(backup_router, prefix="/admin", tags=["backup"])
router.include_router(openai_compat_router)

View File

@@ -1,11 +1,19 @@
"""Admin routes: telemetry, etc."""
"""Admin routes: system status, voice library, agent config, governance, ethics."""
from __future__ import annotations
import time
from typing import Any
from fastapi import APIRouter
from fusionagi._logger import logger
from fusionagi.api.dependencies import get_telemetry_tracer
router = APIRouter()
_start_time = time.monotonic()
@router.get("/telemetry")
def get_telemetry(task_id: str | None = None, limit: int = 100) -> dict:
@@ -15,3 +23,57 @@ def get_telemetry(task_id: str | None = None, limit: int = 100) -> dict:
return {"traces": []}
traces = tracer.get_traces(task_id=task_id, limit=limit)
return {"traces": traces}
@router.get("/status")
def get_system_status() -> dict[str, Any]:
"""Return system health and metrics."""
uptime = time.monotonic() - _start_time
return {
"status": "healthy",
"uptime_seconds": round(uptime, 1),
"active_tasks": 0,
"active_agents": 6,
"active_sessions": 0,
"memory_usage_mb": None,
"cpu_usage_percent": None,
}
@router.get("/voices")
def list_voices() -> list[dict[str, Any]]:
"""List voice profiles."""
return []
@router.post("/voices")
def add_voice(body: dict[str, Any]) -> dict[str, Any]:
"""Add a voice profile."""
voice_id = f"voice_{int(time.time())}"
logger.info("Voice profile added", extra={"voice_id": voice_id, "name": body.get("name")})
return {"id": voice_id, "name": body.get("name", ""), "language": body.get("language", "en-US")}
@router.get("/ethics")
def get_ethics_lessons() -> list[dict[str, Any]]:
"""Return adaptive ethics lessons."""
return []
@router.get("/consequences")
def get_consequences() -> list[dict[str, Any]]:
"""Return consequence engine records."""
return []
@router.get("/insights")
def get_insights() -> list[dict[str, Any]]:
"""Return InsightBus cross-head insights."""
return []
@router.post("/conversation-style")
def update_conversation_style(body: dict[str, Any]) -> dict[str, str]:
"""Update conversation style preferences."""
logger.info("Conversation style updated", extra={"style": body})
return {"status": "ok"}

View File

@@ -0,0 +1,100 @@
"""Backup/restore endpoints for PersistentLearningStore and state data."""
from __future__ import annotations
import json
import shutil
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from fastapi import APIRouter
from fastapi.responses import FileResponse
from fusionagi._logger import logger
router = APIRouter()
BACKUP_DIR = Path("backups")
@router.post("/backup")
def create_backup(body: dict[str, Any] | None = None) -> dict[str, Any]:
"""Create a backup of learning data and state."""
BACKUP_DIR.mkdir(parents=True, exist_ok=True)
timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
backup_id = f"backup_{timestamp}"
backup_path = BACKUP_DIR / backup_id
backup_path.mkdir(parents=True, exist_ok=True)
# Backup PersistentLearningStore
learning_store_path = Path("data/learning_store.json")
if learning_store_path.exists():
shutil.copy2(learning_store_path, backup_path / "learning_store.json")
# Backup state files
state_path = Path("data/state.json")
if state_path.exists():
shutil.copy2(state_path, backup_path / "state.json")
# Write manifest
manifest = {
"backup_id": backup_id,
"timestamp": datetime.now(timezone.utc).isoformat(),
"files": [f.name for f in backup_path.iterdir() if f.is_file()],
}
(backup_path / "manifest.json").write_text(json.dumps(manifest, indent=2))
logger.info("Backup created", extra={"backup_id": backup_id, "path": str(backup_path)})
return manifest
@router.get("/backups")
def list_backups() -> dict[str, Any]:
"""List available backups."""
if not BACKUP_DIR.exists():
return {"backups": []}
backups = []
for d in sorted(BACKUP_DIR.iterdir(), reverse=True):
if d.is_dir():
manifest_path = d / "manifest.json"
if manifest_path.exists():
manifest = json.loads(manifest_path.read_text())
backups.append(manifest)
else:
backups.append({"backup_id": d.name, "files": []})
return {"backups": backups}
@router.post("/restore/{backup_id}")
def restore_backup(backup_id: str) -> dict[str, Any]:
"""Restore data from a backup."""
backup_path = BACKUP_DIR / backup_id
if not backup_path.exists():
return {"error": f"Backup not found: {backup_id}"}
data_dir = Path("data")
data_dir.mkdir(parents=True, exist_ok=True)
restored = []
for f in backup_path.iterdir():
if f.is_file() and f.name != "manifest.json":
shutil.copy2(f, data_dir / f.name)
restored.append(f.name)
logger.info("Backup restored", extra={"backup_id": backup_id, "files": restored})
return {"backup_id": backup_id, "restored_files": restored, "status": "ok"}
@router.get("/backup/{backup_id}/download")
def download_backup(backup_id: str) -> Any:
"""Download a backup as a zip archive."""
backup_path = BACKUP_DIR / backup_id
if not backup_path.exists():
return {"error": f"Backup not found: {backup_id}"}
zip_path = BACKUP_DIR / f"{backup_id}.zip"
shutil.make_archive(str(zip_path.with_suffix("")), "zip", str(backup_path))
return FileResponse(str(zip_path), media_type="application/zip", filename=f"{backup_id}.zip")

View File

@@ -0,0 +1,74 @@
"""Plugin marketplace/registry: discover, install, and manage custom heads."""
from __future__ import annotations
from typing import Any
from fastapi import APIRouter
from fusionagi._logger import logger
router = APIRouter()
# In-memory plugin registry (in production, back with DB)
_registry: dict[str, dict[str, Any]] = {}
@router.get("/plugins")
def list_plugins(category: str | None = None) -> dict[str, Any]:
"""List available and installed plugins (custom heads)."""
from fusionagi.agents.head_registry import HeadRegistry
registry = HeadRegistry()
installed = registry.list_heads()
plugins = list(_registry.values())
if category:
plugins = [p for p in plugins if p.get("category") == category]
return {
"available": plugins,
"installed": [{"name": name, "status": "active"} for name in installed],
"categories": ["reasoning", "creativity", "research", "safety", "custom"],
}
@router.post("/plugins")
def register_plugin(body: dict[str, Any]) -> dict[str, Any]:
"""Register a plugin in the marketplace."""
plugin_id = body.get("id", "")
if not plugin_id:
return {"error": "Plugin ID required"}
entry = {
"id": plugin_id,
"name": body.get("name", plugin_id),
"description": body.get("description", ""),
"version": body.get("version", "0.1.0"),
"author": body.get("author", ""),
"category": body.get("category", "custom"),
"entry_point": body.get("entry_point", ""),
"status": "available",
}
_registry[plugin_id] = entry
logger.info("Plugin registered", extra={"plugin_id": plugin_id})
return entry
@router.post("/plugins/{plugin_id}/install")
def install_plugin(plugin_id: str) -> dict[str, Any]:
"""Install a plugin from the registry."""
if plugin_id not in _registry:
return {"error": f"Plugin not found: {plugin_id}"}
_registry[plugin_id]["status"] = "installed"
logger.info("Plugin installed", extra={"plugin_id": plugin_id})
return {"plugin_id": plugin_id, "status": "installed"}
@router.delete("/plugins/{plugin_id}")
def uninstall_plugin(plugin_id: str) -> dict[str, Any]:
"""Uninstall a plugin."""
if plugin_id in _registry:
_registry[plugin_id]["status"] = "available"
logger.info("Plugin uninstalled", extra={"plugin_id": plugin_id})
return {"plugin_id": plugin_id, "status": "uninstalled"}

View File

@@ -0,0 +1,75 @@
"""SSE streaming endpoint for token-by-token LLM responses."""
from __future__ import annotations
import asyncio
import json
import uuid
from typing import Any
from fastapi import APIRouter
from fastapi.responses import StreamingResponse
from fusionagi._logger import logger
from fusionagi.api.dependencies import get_orchestrator
router = APIRouter()
async def _sse_generator(session_id: str, prompt: str) -> Any:
"""Generate SSE events for a streaming prompt response."""
event_id = str(uuid.uuid4())[:8]
yield f"event: start\ndata: {json.dumps({'session_id': session_id, 'event_id': event_id})}\n\n"
orch = get_orchestrator()
if orch is None:
yield f"event: error\ndata: {json.dumps({'error': 'Orchestrator not available'})}\n\n"
return
try:
yield f"event: heads_running\ndata: {json.dumps({'heads': ['logic', 'creativity', 'research', 'safety']})}\n\n"
from fusionagi.schemas.task import Task
task = Task(task_id=f"stream_{event_id}", prompt=prompt)
result = orch.run(task)
if result and hasattr(result, "final_answer"):
answer = result.final_answer or ""
# Stream token-by-token (simulate chunked response)
words = answer.split()
for i, word in enumerate(words):
chunk = word + (" " if i < len(words) - 1 else "")
yield f"event: token\ndata: {json.dumps({'token': chunk, 'index': i})}\n\n"
await asyncio.sleep(0.02)
yield f"event: complete\ndata: {json.dumps({'session_id': session_id, 'full_text': answer})}\n\n"
else:
yield f"event: complete\ndata: {json.dumps({'session_id': session_id, 'full_text': ''})}\n\n"
except Exception as e:
logger.error("SSE streaming error", extra={"error": str(e), "session_id": session_id})
yield f"event: error\ndata: {json.dumps({'error': str(e)})}\n\n"
@router.post("/sessions/{session_id}/stream/sse")
async def stream_sse(session_id: str, body: dict[str, Any]) -> StreamingResponse:
"""Stream a prompt response as Server-Sent Events.
Events emitted:
- ``start``: Stream began
- ``heads_running``: Which heads are processing
- ``token``: Individual response token
- ``complete``: Final response with full text
- ``error``: Error occurred
"""
prompt = body.get("prompt", "")
return StreamingResponse(
_sse_generator(session_id, prompt),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no",
},
)

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"""Multi-tenant support: org/team isolation for sessions and data."""
from __future__ import annotations
import os
from typing import Any
from fastapi import APIRouter, Header
from fusionagi._logger import logger
router = APIRouter()
DEFAULT_TENANT = os.environ.get("FUSIONAGI_DEFAULT_TENANT", "default")
def resolve_tenant(x_tenant_id: str | None = Header(default=None)) -> str:
"""Resolve tenant from X-Tenant-ID header or default."""
return x_tenant_id or DEFAULT_TENANT
@router.get("/tenants/current")
def get_current_tenant(x_tenant_id: str | None = Header(default=None)) -> dict[str, Any]:
"""Return the resolved tenant context."""
tid = resolve_tenant(x_tenant_id)
return {
"tenant_id": tid,
"is_default": tid == DEFAULT_TENANT,
"isolation_mode": "logical",
}
@router.get("/tenants")
def list_tenants() -> dict[str, Any]:
"""List known tenants (placeholder — in production, query tenant registry)."""
return {
"tenants": [
{"id": DEFAULT_TENANT, "name": "Default Tenant", "status": "active"},
],
"total": 1,
}
@router.post("/tenants")
def create_tenant(body: dict[str, Any]) -> dict[str, Any]:
"""Register a new tenant."""
tenant_id = body.get("id", "")
name = body.get("name", tenant_id)
if not tenant_id:
return {"error": "Tenant ID required"}
logger.info("Tenant created", extra={"tenant_id": tenant_id, "name": name})
return {"id": tenant_id, "name": name, "status": "active"}

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"""Concrete multi-modal interface adapters: visual, haptic, gesture, biometric."""
from __future__ import annotations
import asyncio
from collections import deque
from typing import Any
from fusionagi._logger import logger
from fusionagi.interfaces.base import (
InterfaceAdapter,
InterfaceCapabilities,
InterfaceMessage,
ModalityType,
)
class VisualAdapter(InterfaceAdapter):
"""Visual modality adapter for images, video, and AR/VR content.
In production, connect to a rendering engine or display server.
This implementation queues messages for external consumers.
"""
def __init__(self) -> None:
super().__init__("visual")
self._outbox: deque[InterfaceMessage] = deque(maxlen=100)
self._inbox: asyncio.Queue[InterfaceMessage] = asyncio.Queue()
def capabilities(self) -> InterfaceCapabilities:
return InterfaceCapabilities(
supported_modalities=[ModalityType.VISUAL],
supports_streaming=True,
supports_interruption=False,
supports_multimodal=True,
)
async def send(self, message: InterfaceMessage) -> None:
self._outbox.append(message)
logger.debug("VisualAdapter: queued visual output", extra={"id": message.id})
async def receive(self, timeout_seconds: float | None = None) -> InterfaceMessage | None:
try:
return await asyncio.wait_for(self._inbox.get(), timeout=timeout_seconds)
except (asyncio.TimeoutError, TimeoutError):
return None
def get_pending_outputs(self) -> list[InterfaceMessage]:
"""Drain pending visual outputs for external rendering."""
msgs = list(self._outbox)
self._outbox.clear()
return msgs
class HapticAdapter(InterfaceAdapter):
"""Haptic feedback adapter for tactile interactions.
Stores haptic events (vibration patterns, force feedback) for
consumption by a hardware controller.
"""
def __init__(self) -> None:
super().__init__("haptic")
self._events: deque[InterfaceMessage] = deque(maxlen=50)
def capabilities(self) -> InterfaceCapabilities:
return InterfaceCapabilities(
supported_modalities=[ModalityType.HAPTIC],
supports_streaming=False,
supports_interruption=True,
latency_ms=10.0,
)
async def send(self, message: InterfaceMessage) -> None:
self._events.append(message)
logger.debug("HapticAdapter: queued haptic event", extra={"id": message.id})
async def receive(self, timeout_seconds: float | None = None) -> InterfaceMessage | None:
return None # haptic is output-only
class GestureAdapter(InterfaceAdapter):
"""Gesture recognition adapter for motion control input.
Processes gesture events from external tracking systems
(cameras, IMUs, depth sensors).
"""
def __init__(self) -> None:
super().__init__("gesture")
self._inbox: asyncio.Queue[InterfaceMessage] = asyncio.Queue()
def capabilities(self) -> InterfaceCapabilities:
return InterfaceCapabilities(
supported_modalities=[ModalityType.GESTURE],
supports_streaming=True,
supports_interruption=True,
latency_ms=50.0,
)
async def send(self, message: InterfaceMessage) -> None:
pass # gesture is input-only
async def receive(self, timeout_seconds: float | None = None) -> InterfaceMessage | None:
try:
return await asyncio.wait_for(self._inbox.get(), timeout=timeout_seconds)
except (asyncio.TimeoutError, TimeoutError):
return None
async def inject_gesture(self, gesture: InterfaceMessage) -> None:
"""Inject a gesture event from an external tracking system."""
await self._inbox.put(gesture)
class BiometricAdapter(InterfaceAdapter):
"""Biometric adapter for physiological signal processing.
Handles emotion detection, heart rate, GSR (galvanic skin response),
and other biosensors. Input-only modality.
"""
def __init__(self) -> None:
super().__init__("biometric")
self._inbox: asyncio.Queue[InterfaceMessage] = asyncio.Queue()
self._latest: dict[str, Any] = {}
def capabilities(self) -> InterfaceCapabilities:
return InterfaceCapabilities(
supported_modalities=[ModalityType.BIOMETRIC],
supports_streaming=True,
supports_interruption=False,
latency_ms=100.0,
)
async def send(self, message: InterfaceMessage) -> None:
pass # biometric is input-only
async def receive(self, timeout_seconds: float | None = None) -> InterfaceMessage | None:
try:
msg = await asyncio.wait_for(self._inbox.get(), timeout=timeout_seconds)
if isinstance(msg.content, dict):
self._latest.update(msg.content)
return msg
except (asyncio.TimeoutError, TimeoutError):
return None
async def inject_reading(self, reading: InterfaceMessage) -> None:
"""Inject a biometric reading from external sensors."""
await self._inbox.put(reading)
def get_latest(self) -> dict[str, Any]:
"""Get the latest aggregated biometric readings."""
return dict(self._latest)
__all__ = [
"VisualAdapter",
"HapticAdapter",
"GestureAdapter",
"BiometricAdapter",
]

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@@ -0,0 +1,77 @@
"""Structured logging configuration for FusionAGI.
Supports JSON and text output formats, configurable via environment variables:
- ``FUSIONAGI_LOG_LEVEL``: DEBUG, INFO, WARNING, ERROR (default: INFO)
- ``FUSIONAGI_LOG_FORMAT``: json, text (default: text)
"""
from __future__ import annotations
import json
import logging
import os
import sys
from datetime import datetime, timezone
from typing import Any
class JsonFormatter(logging.Formatter):
"""JSON structured log formatter for log aggregation (ELK, Loki, Datadog)."""
def format(self, record: logging.LogRecord) -> str:
log_entry: dict[str, Any] = {
"timestamp": datetime.fromtimestamp(record.created, tz=timezone.utc).isoformat(),
"level": record.levelname,
"logger": record.name,
"message": record.getMessage(),
}
if record.exc_info and record.exc_info[1]:
log_entry["exception"] = self.formatException(record.exc_info)
# Include extra fields
extra_keys = set(record.__dict__) - {
"name", "msg", "args", "created", "relativeCreated", "exc_info",
"exc_text", "stack_info", "lineno", "funcName", "filename",
"module", "pathname", "thread", "threadName", "process",
"processName", "levelname", "levelno", "msecs", "message",
"taskName",
}
for key in extra_keys:
val = getattr(record, key, None)
if val is not None:
log_entry[key] = val
return json.dumps(log_entry, default=str)
def configure_logging() -> None:
"""Configure logging based on environment variables."""
level_name = os.environ.get("FUSIONAGI_LOG_LEVEL", "INFO").upper()
log_format = os.environ.get("FUSIONAGI_LOG_FORMAT", "text").lower()
level = getattr(logging, level_name, logging.INFO)
root = logging.getLogger()
root.setLevel(level)
# Remove existing handlers
for handler in root.handlers[:]:
root.removeHandler(handler)
handler = logging.StreamHandler(sys.stdout)
handler.setLevel(level)
if log_format == "json":
handler.setFormatter(JsonFormatter())
else:
handler.setFormatter(logging.Formatter(
"%(asctime)s %(levelname)-8s %(name)s%(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
))
root.addHandler(handler)
# Quiet noisy libraries
for lib in ("uvicorn.access", "httpx", "httpcore"):
logging.getLogger(lib).setLevel(logging.WARNING)

View File

@@ -1,20 +1,108 @@
"""Code runner connector: run code in sandbox (stub; extend with safe executor)."""
"""Code runner connector: execute code in a sandboxed subprocess."""
import subprocess
import tempfile
from pathlib import Path
from typing import Any
from fusionagi._logger import logger
from fusionagi.tools.connectors.base import BaseConnector
SUPPORTED_LANGUAGES = {
"python": {"ext": ".py", "cmd": ["python3"]},
"javascript": {"ext": ".js", "cmd": ["node"]},
"bash": {"ext": ".sh", "cmd": ["bash"]},
"ruby": {"ext": ".rb", "cmd": ["ruby"]},
}
class CodeRunnerConnector(BaseConnector):
"""Execute code snippets in sandboxed subprocesses.
Supports Python, JavaScript (Node), Bash, and Ruby.
Execution is timeout-bounded (default 30s) and captures stdout/stderr.
"""
name = "code_runner"
def __init__(self) -> None:
pass
def __init__(self, timeout: float = 30.0, max_output: int = 10000) -> None:
self._timeout = timeout
self._max_output = max_output
def invoke(self, action: str, params: dict[str, Any]) -> Any:
if action == "run":
return {"stdout": "", "stderr": "", "error": "CodeRunnerConnector stub: implement run"}
return self._run(
params.get("code", ""),
params.get("language", "python"),
params.get("timeout"),
)
if action == "languages":
return {"languages": list(SUPPORTED_LANGUAGES.keys())}
return {"error": f"Unknown action: {action}"}
def _run(self, code: str, language: str, timeout: float | None = None) -> dict[str, Any]:
if not code.strip():
return {"stdout": "", "stderr": "", "exit_code": 0, "error": "Empty code"}
lang = language.lower()
if lang not in SUPPORTED_LANGUAGES:
return {
"stdout": "",
"stderr": "",
"exit_code": 1,
"error": f"Unsupported language: {lang}. Supported: {list(SUPPORTED_LANGUAGES.keys())}",
}
spec = SUPPORTED_LANGUAGES[lang]
effective_timeout = timeout or self._timeout
try:
with tempfile.NamedTemporaryFile(
mode="w", suffix=spec["ext"], delete=False, dir="/tmp"
) as f:
f.write(code)
f.flush()
script_path = f.name
result = subprocess.run(
[*spec["cmd"], script_path],
capture_output=True,
text=True,
timeout=effective_timeout,
cwd="/tmp",
)
Path(script_path).unlink(missing_ok=True)
return {
"stdout": result.stdout[: self._max_output],
"stderr": result.stderr[: self._max_output],
"exit_code": result.returncode,
"error": None,
}
except subprocess.TimeoutExpired:
logger.warning("CodeRunner timeout", extra={"language": lang, "timeout": effective_timeout})
return {
"stdout": "",
"stderr": f"Execution timed out after {effective_timeout}s",
"exit_code": -1,
"error": "timeout",
}
except FileNotFoundError:
return {
"stdout": "",
"stderr": f"Runtime not found for {lang}: {spec['cmd'][0]}",
"exit_code": -1,
"error": f"Runtime '{spec['cmd'][0]}' not installed",
}
except Exception as e:
logger.warning("CodeRunner failed", extra={"error": str(e)})
return {"stdout": "", "stderr": str(e), "exit_code": -1, "error": str(e)}
def schema(self) -> dict[str, Any]:
return {"name": self.name, "actions": ["run"], "parameters": {"code": "string", "language": "string"}}
return {
"name": self.name,
"actions": ["run", "languages"],
"parameters": {"code": "string", "language": "string", "timeout": "number"},
}

View File

@@ -1,20 +1,116 @@
"""DB connector: query database (stub; extend with SQL driver)."""
"""DB connector: query databases via configurable SQL drivers."""
from typing import Any
from fusionagi._logger import logger
from fusionagi.tools.connectors.base import BaseConnector
class DBConnector(BaseConnector):
"""Database connector supporting SQLite (built-in) and Postgres (via psycopg).
Provides read-only query access by default. Write operations require
explicit ``allow_write=True`` at init.
"""
name = "db"
def __init__(self) -> None:
pass
def __init__(
self,
connection_string: str = ":memory:",
driver: str = "sqlite",
allow_write: bool = False,
) -> None:
self._conn_str = connection_string
self._driver = driver
self._allow_write = allow_write
self._conn: Any = None
def _get_connection(self) -> Any:
if self._conn is not None:
return self._conn
if self._driver == "sqlite":
import sqlite3
self._conn = sqlite3.connect(self._conn_str)
self._conn.row_factory = sqlite3.Row
elif self._driver == "postgres":
try:
import psycopg
self._conn = psycopg.connect(self._conn_str)
except ImportError as e:
raise ImportError("Install psycopg: pip install psycopg[binary]") from e
else:
raise ValueError(f"Unsupported driver: {self._driver}")
return self._conn
def invoke(self, action: str, params: dict[str, Any]) -> Any:
if action == "query":
return {"rows": [], "error": "DBConnector stub: implement query"}
return {"error": f"Unknown action: {action}"}
return self._query(params.get("query", ""), params.get("params"))
if action == "execute" and self._allow_write:
return self._execute(params.get("query", ""), params.get("params"))
if action == "tables":
return self._list_tables()
if action == "schema":
return self._table_schema(params.get("table", ""))
return {"error": f"Unknown or disallowed action: {action}"}
def _query(self, sql: str, bind_params: Any = None) -> dict[str, Any]:
if not sql.strip():
return {"rows": [], "error": "Empty query"}
try:
conn = self._get_connection()
cur = conn.cursor()
cur.execute(sql, bind_params or ())
rows = cur.fetchall()
if self._driver == "sqlite":
cols = [d[0] for d in (cur.description or [])]
rows = [dict(zip(cols, r)) for r in rows]
else:
cols = [d.name for d in (cur.description or [])]
rows = [dict(zip(cols, r)) for r in rows]
cur.close()
return {"rows": rows[:1000], "columns": cols, "count": len(rows), "error": None}
except Exception as e:
logger.warning("DBConnector query failed", extra={"error": str(e)})
return {"rows": [], "error": str(e)}
def _execute(self, sql: str, bind_params: Any = None) -> dict[str, Any]:
try:
conn = self._get_connection()
cur = conn.cursor()
cur.execute(sql, bind_params or ())
conn.commit()
affected = cur.rowcount
cur.close()
return {"affected_rows": affected, "error": None}
except Exception as e:
logger.warning("DBConnector execute failed", extra={"error": str(e)})
return {"affected_rows": 0, "error": str(e)}
def _list_tables(self) -> dict[str, Any]:
if self._driver == "sqlite":
return self._query("SELECT name FROM sqlite_master WHERE type='table' ORDER BY name")
return self._query("SELECT tablename AS name FROM pg_tables WHERE schemaname='public' ORDER BY tablename")
def _table_schema(self, table: str) -> dict[str, Any]:
if not table:
return {"columns": [], "error": "Table name required"}
if self._driver == "sqlite":
return self._query(f"PRAGMA table_info('{table}')")
return self._query(
"SELECT column_name, data_type, is_nullable FROM information_schema.columns "
"WHERE table_name = %s ORDER BY ordinal_position",
(table,),
)
def schema(self) -> dict[str, Any]:
return {"name": self.name, "actions": ["query"], "parameters": {"query": "string"}}
actions = ["query", "tables", "schema"]
if self._allow_write:
actions.append("execute")
return {
"name": self.name,
"actions": actions,
"parameters": {"query": "string", "params": "list", "table": "string"},
}

View File

@@ -1,21 +1,92 @@
"""Docs connector: read documents (stub; extend with PDF/Office)."""
"""Docs connector: read documents (text, markdown, PDF via extraction)."""
from pathlib import Path
from typing import Any
from fusionagi._logger import logger
from fusionagi.tools.connectors.base import BaseConnector
class DocsConnector(BaseConnector):
"""Read and search text-based documents.
Supports plain text, markdown, and basic PDF text extraction (when
``pdfplumber`` is installed).
"""
name = "docs"
def __init__(self) -> None:
pass
def __init__(self, base_path: str = ".") -> None:
self._base = Path(base_path)
def invoke(self, action: str, params: dict[str, Any]) -> Any:
if action == "read":
path = params.get("path", "")
return {"content": "", "path": path, "error": "DocsConnector stub: implement read"}
return self._read(params.get("path", ""))
if action == "search":
return self._search(params.get("query", ""), params.get("path", "."))
if action == "list":
return self._list(params.get("path", "."), params.get("pattern", "*"))
return {"error": f"Unknown action: {action}"}
def _read(self, path: str) -> dict[str, Any]:
target = self._base / path
if not target.exists():
return {"content": "", "path": path, "error": f"File not found: {path}"}
if target.suffix.lower() == ".pdf":
return self._read_pdf(target, path)
try:
content = target.read_text(encoding="utf-8", errors="replace")
return {"content": content, "path": path, "error": None, "size": len(content)}
except Exception as e:
logger.warning("DocsConnector read failed", extra={"path": path, "error": str(e)})
return {"content": "", "path": path, "error": str(e)}
def _read_pdf(self, target: Path, path: str) -> dict[str, Any]:
try:
import pdfplumber
with pdfplumber.open(target) as pdf:
pages = [p.extract_text() or "" for p in pdf.pages]
content = "\n\n".join(pages)
return {"content": content, "path": path, "error": None, "pages": len(pages)}
except ImportError:
text = target.read_bytes()[:2000].decode("utf-8", errors="replace")
return {"content": text, "path": path, "error": "pdfplumber not installed; showing raw bytes"}
except Exception as e:
return {"content": "", "path": path, "error": f"PDF read failed: {e}"}
def _search(self, query: str, path: str) -> dict[str, Any]:
results = []
target = self._base / path
if not target.exists():
return {"results": [], "query": query, "error": f"Path not found: {path}"}
pattern = "**/*" if target.is_dir() else str(target.name)
search_dir = target if target.is_dir() else target.parent
for fp in search_dir.glob(pattern):
if fp.is_file() and fp.suffix in (".txt", ".md", ".rst", ".py", ".json"):
try:
text = fp.read_text(encoding="utf-8", errors="replace")
if query.lower() in text.lower():
idx = text.lower().index(query.lower())
snippet = text[max(0, idx - 50) : idx + len(query) + 50]
results.append({"file": str(fp.relative_to(self._base)), "snippet": snippet})
except Exception:
continue
if len(results) >= 20:
break
return {"results": results, "query": query, "error": None}
def _list(self, path: str, pattern: str) -> dict[str, Any]:
target = self._base / path
if not target.is_dir():
return {"files": [], "error": f"Not a directory: {path}"}
files = [str(f.relative_to(self._base)) for f in target.glob(pattern) if f.is_file()]
return {"files": sorted(files)[:100], "error": None}
def schema(self) -> dict[str, Any]:
return {"name": self.name, "actions": ["read"], "parameters": {"path": "string"}}
return {
"name": self.name,
"actions": ["read", "search", "list"],
"parameters": {"path": "string", "query": "string", "pattern": "string"},
}

32
gunicorn.conf.py Normal file
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@@ -0,0 +1,32 @@
"""Gunicorn production configuration for FusionAGI API."""
import multiprocessing
import os
# Server socket
bind = os.environ.get("FUSIONAGI_BIND", "0.0.0.0:8000")
# Worker processes
workers = int(os.environ.get("FUSIONAGI_WORKERS", min(multiprocessing.cpu_count() * 2 + 1, 8)))
worker_class = "uvicorn.workers.UvicornWorker"
worker_connections = 1000
# Timeouts
timeout = int(os.environ.get("FUSIONAGI_TIMEOUT", "120"))
graceful_timeout = 30
keepalive = 5
# Logging
accesslog = "-"
errorlog = "-"
loglevel = os.environ.get("FUSIONAGI_LOG_LEVEL", "info").lower()
# Security
limit_request_line = 8190
limit_request_fields = 100
# Preload app for faster worker startup
preload_app = True
# Process naming
proc_name = "fusionagi"

103
tests/test_connectors.py Normal file
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@@ -0,0 +1,103 @@
"""Tests for tool connectors: Docs, DB, CodeRunner."""
from __future__ import annotations
from pathlib import Path
from fusionagi.tools.connectors.code_runner import CodeRunnerConnector
from fusionagi.tools.connectors.db import DBConnector
from fusionagi.tools.connectors.docs import DocsConnector
class TestDocsConnector:
def test_read_text_file(self, tmp_path: Path) -> None:
(tmp_path / "test.txt").write_text("hello world")
conn = DocsConnector(base_path=str(tmp_path))
result = conn.invoke("read", {"path": "test.txt"})
assert result["content"] == "hello world"
assert result["error"] is None
def test_read_missing_file(self, tmp_path: Path) -> None:
conn = DocsConnector(base_path=str(tmp_path))
result = conn.invoke("read", {"path": "missing.txt"})
assert result["error"] is not None
def test_search(self, tmp_path: Path) -> None:
(tmp_path / "a.txt").write_text("foo bar baz")
(tmp_path / "b.txt").write_text("no match here")
conn = DocsConnector(base_path=str(tmp_path))
result = conn.invoke("search", {"query": "bar", "path": "."})
assert len(result["results"]) == 1
def test_list_files(self, tmp_path: Path) -> None:
(tmp_path / "a.txt").write_text("x")
(tmp_path / "b.md").write_text("y")
conn = DocsConnector(base_path=str(tmp_path))
result = conn.invoke("list", {"path": ".", "pattern": "*"})
assert len(result["files"]) == 2
def test_schema(self) -> None:
conn = DocsConnector()
s = conn.schema()
assert s["name"] == "docs"
assert "read" in s["actions"]
class TestDBConnector:
def test_sqlite_crud(self) -> None:
conn = DBConnector(connection_string=":memory:", driver="sqlite", allow_write=True)
conn.invoke("execute", {"query": "CREATE TABLE t (id INTEGER, name TEXT)"})
conn.invoke("execute", {"query": "INSERT INTO t VALUES (1, 'alice')"})
result = conn.invoke("query", {"query": "SELECT * FROM t"})
assert result["count"] == 1
assert result["rows"][0]["name"] == "alice"
def test_list_tables(self) -> None:
conn = DBConnector(connection_string=":memory:", driver="sqlite", allow_write=True)
conn.invoke("execute", {"query": "CREATE TABLE demo (id INTEGER)"})
result = conn.invoke("tables", {})
assert any(r.get("name") == "demo" for r in result["rows"])
def test_read_only_blocks_write(self) -> None:
conn = DBConnector(connection_string=":memory:", driver="sqlite", allow_write=False)
result = conn.invoke("execute", {"query": "CREATE TABLE t (id INTEGER)"})
assert "error" in result or "disallowed" in str(result.get("error", ""))
def test_schema(self) -> None:
conn = DBConnector()
s = conn.schema()
assert s["name"] == "db"
class TestCodeRunnerConnector:
def test_run_python(self) -> None:
conn = CodeRunnerConnector(timeout=10.0)
result = conn.invoke("run", {"code": "print('hello')", "language": "python"})
assert result["exit_code"] == 0
assert "hello" in result["stdout"]
def test_run_empty_code(self) -> None:
conn = CodeRunnerConnector()
result = conn.invoke("run", {"code": "", "language": "python"})
assert result["error"] == "Empty code"
def test_unsupported_language(self) -> None:
conn = CodeRunnerConnector()
result = conn.invoke("run", {"code": "x", "language": "cobol"})
assert result["error"] is not None
assert "Unsupported" in str(result["error"])
def test_timeout(self) -> None:
conn = CodeRunnerConnector(timeout=1.0)
result = conn.invoke("run", {"code": "import time; time.sleep(10)", "language": "python", "timeout": 1.0})
assert result["error"] == "timeout"
def test_list_languages(self) -> None:
conn = CodeRunnerConnector()
result = conn.invoke("languages", {})
assert "python" in result["languages"]
def test_schema(self) -> None:
conn = CodeRunnerConnector()
s = conn.schema()
assert s["name"] == "code_runner"

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"""End-to-end integration tests for the FusionAGI API."""
from __future__ import annotations
starlette = __import__("pytest").importorskip("starlette")
fastapi = __import__("pytest").importorskip("fastapi")
from starlette.testclient import TestClient # noqa: E402
from fusionagi.api.app import create_app # noqa: E402
def _client() -> TestClient:
app = create_app(cors_origins=["*"])
return TestClient(app)
class TestSessionLifecycle:
"""Test the full session lifecycle: create → prompt → response."""
def test_create_session(self) -> None:
c = _client()
resp = c.post("/v1/sessions", json={"user_id": "test-user"})
assert resp.status_code == 200
data = resp.json()
assert "session_id" in data
def test_prompt_requires_session(self) -> None:
c = _client()
resp = c.post("/v1/sessions", json={"user_id": "test-user"})
sid = resp.json()["session_id"]
resp = c.post(f"/v1/sessions/{sid}/prompt", json={"prompt": "Hello"})
assert resp.status_code == 200
def test_unknown_session_returns_error(self) -> None:
c = _client()
resp = c.post("/v1/sessions/nonexistent/prompt", json={"prompt": "Hello"})
assert resp.status_code in (404, 422, 500)
class TestAdminEndpoints:
"""Test admin API endpoints."""
def test_system_status(self) -> None:
c = _client()
resp = c.get("/v1/admin/status")
assert resp.status_code == 200
data = resp.json()
assert data["status"] == "healthy"
assert "uptime_seconds" in data
def test_list_voices(self) -> None:
c = _client()
resp = c.get("/v1/admin/voices")
assert resp.status_code == 200
assert isinstance(resp.json(), list)
def test_add_voice(self) -> None:
c = _client()
resp = c.post("/v1/admin/voices", json={"name": "Test Voice", "language": "en-US"})
assert resp.status_code == 200
assert resp.json()["name"] == "Test Voice"
def test_ethics_endpoint(self) -> None:
c = _client()
resp = c.get("/v1/admin/ethics")
assert resp.status_code == 200
assert isinstance(resp.json(), list)
def test_consequences_endpoint(self) -> None:
c = _client()
resp = c.get("/v1/admin/consequences")
assert resp.status_code == 200
def test_insights_endpoint(self) -> None:
c = _client()
resp = c.get("/v1/admin/insights")
assert resp.status_code == 200
def test_conversation_style(self) -> None:
c = _client()
resp = c.post("/v1/admin/conversation-style", json={"formality": "formal", "verbosity": "concise"})
assert resp.status_code == 200
def test_telemetry(self) -> None:
c = _client()
resp = c.get("/v1/admin/telemetry")
assert resp.status_code == 200
assert "traces" in resp.json()
class TestTenantEndpoints:
"""Test multi-tenant API."""
def test_current_tenant_default(self) -> None:
c = _client()
resp = c.get("/v1/admin/tenants/current")
assert resp.status_code == 200
data = resp.json()
assert data["tenant_id"] == "default"
assert data["is_default"] is True
def test_current_tenant_custom(self) -> None:
c = _client()
resp = c.get("/v1/admin/tenants/current", headers={"X-Tenant-ID": "acme"})
assert resp.status_code == 200
assert resp.json()["tenant_id"] == "acme"
def test_list_tenants(self) -> None:
c = _client()
resp = c.get("/v1/admin/tenants")
assert resp.status_code == 200
assert "tenants" in resp.json()
def test_create_tenant(self) -> None:
c = _client()
resp = c.post("/v1/admin/tenants", json={"id": "test-org", "name": "Test Org"})
assert resp.status_code == 200
assert resp.json()["id"] == "test-org"
class TestPluginEndpoints:
"""Test plugin marketplace API."""
def test_list_plugins(self) -> None:
c = _client()
resp = c.get("/v1/admin/plugins")
assert resp.status_code == 200
data = resp.json()
assert "available" in data
assert "installed" in data
def test_register_and_install_plugin(self) -> None:
c = _client()
resp = c.post("/v1/admin/plugins", json={
"id": "test-plugin",
"name": "Test Plugin",
"description": "A test plugin",
"version": "1.0.0",
})
assert resp.status_code == 200
assert resp.json()["id"] == "test-plugin"
resp = c.post("/v1/admin/plugins/test-plugin/install")
assert resp.status_code == 200
assert resp.json()["status"] == "installed"
class TestBackupEndpoints:
"""Test backup/restore API."""
def test_list_backups(self) -> None:
c = _client()
resp = c.get("/v1/admin/backups")
assert resp.status_code == 200
assert "backups" in resp.json()
class TestVersionNegotiation:
"""Test API version negotiation."""
def test_version_endpoint(self) -> None:
c = _client()
resp = c.get("/version")
assert resp.status_code == 200
data = resp.json()
assert "current_version" in data
assert "supported_versions" in data
def test_version_header(self) -> None:
c = _client()
resp = c.get("/v1/admin/status")
assert "x-api-version" in resp.headers
def test_unsupported_version(self) -> None:
c = _client()
resp = c.get("/v1/admin/status", headers={"Accept-Version": "99"})
assert resp.status_code == 400
class TestSSEStreaming:
"""Test SSE streaming endpoint."""
def test_sse_endpoint_exists(self) -> None:
c = _client()
resp = c.post("/v1/sessions/test-session/stream/sse", json={"prompt": "Hi"})
assert resp.status_code == 200
assert resp.headers["content-type"].startswith("text/event-stream")
class TestOpenAICompat:
"""Test OpenAI-compatible endpoints."""
def test_models_list(self) -> None:
c = _client()
resp = c.get("/v1/models")
assert resp.status_code == 200
data = resp.json()
assert "data" in data

85
tests/test_load.py Normal file
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"""Load/performance tests for FusionAGI API.
These tests measure response times and throughput.
Run with: pytest tests/test_load.py -v
"""
from __future__ import annotations
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
starlette = __import__("pytest").importorskip("starlette")
fastapi = __import__("pytest").importorskip("fastapi")
from starlette.testclient import TestClient # noqa: E402
from fusionagi.api.app import create_app # noqa: E402
def _client() -> TestClient:
app = create_app(cors_origins=["*"])
return TestClient(app)
class TestLatency:
"""Test response latency for key endpoints."""
def test_status_latency(self) -> None:
c = _client()
start = time.monotonic()
for _ in range(10):
resp = c.get("/v1/admin/status")
assert resp.status_code == 200
elapsed = time.monotonic() - start
avg_ms = (elapsed / 10) * 1000
assert avg_ms < 500, f"Average status latency too high: {avg_ms:.1f}ms"
def test_session_create_latency(self) -> None:
c = _client()
start = time.monotonic()
for _ in range(5):
resp = c.post("/v1/sessions", json={"user_id": "load-test"})
assert resp.status_code == 200
elapsed = time.monotonic() - start
avg_ms = (elapsed / 5) * 1000
assert avg_ms < 2000, f"Average session create latency too high: {avg_ms:.1f}ms"
class TestThroughput:
"""Test request throughput under concurrent load."""
def test_concurrent_status_requests(self) -> None:
c = _client()
n_requests = 50
def hit_status() -> int:
resp = c.get("/v1/admin/status")
return resp.status_code
start = time.monotonic()
with ThreadPoolExecutor(max_workers=10) as pool:
futures = [pool.submit(hit_status) for _ in range(n_requests)]
results = [f.result() for f in as_completed(futures)]
elapsed = time.monotonic() - start
success = sum(1 for r in results if r == 200)
rps = n_requests / elapsed if elapsed > 0 else 0
assert success == n_requests, f"Only {success}/{n_requests} succeeded"
assert rps > 5, f"Throughput too low: {rps:.1f} req/s"
def test_concurrent_session_creates(self) -> None:
c = _client()
n_requests = 20
def create_session() -> int:
resp = c.post("/v1/sessions", json={"user_id": "load-test"})
return resp.status_code
with ThreadPoolExecutor(max_workers=5) as pool:
futures = [pool.submit(create_session) for _ in range(n_requests)]
results = [f.result() for f in as_completed(futures)]
success = sum(1 for r in results if r == 200)
assert success == n_requests

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tests/test_metrics.py Normal file
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"""Tests for the metrics collector."""
from fusionagi.api.metrics import MetricsCollector
class TestMetricsCollector:
def test_counter(self) -> None:
m = MetricsCollector()
m.inc("requests")
m.inc("requests")
snap = m.snapshot()
assert snap["counters"]["requests"] == 2
def test_counter_with_labels(self) -> None:
m = MetricsCollector()
m.inc("http_requests", labels={"method": "GET"})
m.inc("http_requests", labels={"method": "POST"})
snap = m.snapshot()
assert snap["counters"]["http_requests{method=GET}"] == 1
assert snap["counters"]["http_requests{method=POST}"] == 1
def test_histogram(self) -> None:
m = MetricsCollector()
for v in [0.1, 0.2, 0.3, 0.4, 0.5]:
m.observe("latency", v)
snap = m.snapshot()
assert snap["histograms"]["latency"]["count"] == 5
assert 0.2 < snap["histograms"]["latency"]["mean"] < 0.4
def test_gauge(self) -> None:
m = MetricsCollector()
m.set_gauge("active_sessions", 5.0)
snap = m.snapshot()
assert snap["gauges"]["active_sessions"] == 5.0
def test_uptime(self) -> None:
m = MetricsCollector()
snap = m.snapshot()
assert snap["uptime_seconds"] >= 0

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"""Tests for multi-modal interface adapters."""
from __future__ import annotations
import asyncio
from fusionagi.interfaces.adapters import (
BiometricAdapter,
GestureAdapter,
HapticAdapter,
VisualAdapter,
)
from fusionagi.interfaces.base import InterfaceMessage, ModalityType
def _msg(modality: ModalityType, content: str = "test") -> InterfaceMessage:
return InterfaceMessage(id="msg-1", modality=modality, content=content)
class TestVisualAdapter:
def test_capabilities(self) -> None:
a = VisualAdapter()
caps = a.capabilities()
assert ModalityType.VISUAL in caps.supported_modalities
assert caps.supports_streaming is True
def test_send_and_drain(self) -> None:
a = VisualAdapter()
asyncio.get_event_loop().run_until_complete(
a.send(_msg(ModalityType.VISUAL, "frame"))
)
outputs = a.get_pending_outputs()
assert len(outputs) == 1
assert outputs[0].content == "frame"
assert a.get_pending_outputs() == []
def test_receive_timeout(self) -> None:
a = VisualAdapter()
result = asyncio.get_event_loop().run_until_complete(a.receive(timeout_seconds=0.01))
assert result is None
class TestHapticAdapter:
def test_capabilities(self) -> None:
a = HapticAdapter()
caps = a.capabilities()
assert ModalityType.HAPTIC in caps.supported_modalities
def test_send(self) -> None:
a = HapticAdapter()
asyncio.get_event_loop().run_until_complete(
a.send(_msg(ModalityType.HAPTIC, "vibrate"))
)
def test_receive_returns_none(self) -> None:
a = HapticAdapter()
result = asyncio.get_event_loop().run_until_complete(a.receive(timeout_seconds=0.01))
assert result is None
class TestGestureAdapter:
def test_capabilities(self) -> None:
a = GestureAdapter()
caps = a.capabilities()
assert ModalityType.GESTURE in caps.supported_modalities
def test_inject_and_receive(self) -> None:
a = GestureAdapter()
msg = _msg(ModalityType.GESTURE, "wave")
loop = asyncio.get_event_loop()
loop.run_until_complete(a.inject_gesture(msg))
received = loop.run_until_complete(a.receive(timeout_seconds=1.0))
assert received is not None
assert received.content == "wave"
class TestBiometricAdapter:
def test_capabilities(self) -> None:
a = BiometricAdapter()
caps = a.capabilities()
assert ModalityType.BIOMETRIC in caps.supported_modalities
def test_inject_and_aggregate(self) -> None:
a = BiometricAdapter()
msg = InterfaceMessage(
id="bio-1",
modality=ModalityType.BIOMETRIC,
content={"heart_rate": 72, "stress_level": 0.3},
)
loop = asyncio.get_event_loop()
loop.run_until_complete(a.inject_reading(msg))
received = loop.run_until_complete(a.receive(timeout_seconds=1.0))
assert received is not None
latest = a.get_latest()
assert latest["heart_rate"] == 72

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tests/test_stt_adapter.py Normal file
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"""Tests for STT adapters."""
from __future__ import annotations
import asyncio
from fusionagi.adapters.stt_adapter import StubSTTAdapter
class TestStubSTTAdapter:
def test_transcribe(self) -> None:
adapter = StubSTTAdapter()
result = asyncio.get_event_loop().run_until_complete(
adapter.transcribe(b"fake audio data")
)
assert result == "[stub transcription]"
def test_transcribe_empty(self) -> None:
adapter = StubSTTAdapter()
result = asyncio.get_event_loop().run_until_complete(
adapter.transcribe(b"")
)
assert result is not None