feat: complete production-quality Model Router AI traffic control platform
This commit is contained in:
Vardhman Gupta
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# Model Router Configuration
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# Environment mode: development | production | test
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APP_ENV=development
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DEBUG=true
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PORT=8000
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HOST=0.0.0.0
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# Database
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DATABASE_URL=sqlite+aiosqlite:///./model_router.db
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# Default Router Analyzer: rules | llm
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ROUTER_ANALYZER=rules
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# Default Routing Policy: balanced | lowest_cost | lowest_latency | highest_quality | custom
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DEFAULT_ROUTING_POLICY=balanced
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# Baseline Model ID for Cost Savings Analytics (e.g. gpt-4o or claude-3-5-sonnet-20241022 or mock-power)
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BASELINE_MODEL_ID=mock-power
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# Default Provider Mode: mock | ollama
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DEFAULT_PROVIDER=mock
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# Local Ollama URL
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OLLAMA_BASE_URL=http://localhost:11434
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# Optional External Providers (leave empty for local/mock development)
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OPENAI_API_KEY=
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ANTHROPIC_API_KEY=
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GEMINI_API_KEY=
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# Budgets (USD)
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DAILY_BUDGET=10.00
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MONTHLY_BUDGET=100.00
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PER_REQUEST_BUDGET=1.00
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# Retries & Timeouts
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MAX_RETRIES=2
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PROVIDER_TIMEOUT_SECONDS=30.0
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+44
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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venv/
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.venv/
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ENV/
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*.db
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*.sqlite3
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model_router.db
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model_router.db-journal
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# Environment
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.env
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.env.local
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# Testing & Coverage
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.pytest_cache/
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.coverage
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htmlcov/
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# Node / Frontend
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node_modules/
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dist/
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.dist/
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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.eslintcache
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.vite/
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# IDEs & System
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.idea/
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.vscode/
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*.swp
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*.swo
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.DS_Store
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Thumbs.db
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# Project Interview Guide & Docs
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project.md
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MIT License
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Copyright (c) 2026 Model Router Contributors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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# Model Router
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Intelligent, explainable, cost- and latency-aware LLM request routing platform and AI Traffic Control Room.
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---
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## Overview
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Model Router intercepts incoming AI requests, analyzes their task type and complexity, evaluates available models against a configurable multi-criteria scoring objective, selects the optimal candidate, and dispatches the request with automatic fallback handling and budget guards.
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The platform is designed local-first, allowing full local development and testing using Mock models or local Ollama instances without requiring paid external API keys.
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---
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## Core Capabilities
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- Dual-Mode Request Analyzer: Deterministic heuristics (<3ms latency overhead) for 12 task types, continuous complexity scoring (0.0 to 1.0), and requirement detection, plus an optional LLM classifier mode.
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- Explainable Routing Engine: Multi-criteria weighted scoring across Quality, Cost Efficiency, Speed, Capabilities, and Reliability with transparent decision factor reports and candidate rejection logs.
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- Provider Abstraction: Decoupled adapters for Mock (simulation), Ollama (local), OpenAI, Anthropic, and Google Gemini.
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- Resilience and Fallback: Automated retry classification for transient errors (timeouts, HTTP 429, 503) and tiered fallback to local/mock alternatives.
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- Budget Guards: Real-time spend tracking with automated threshold interventions (80% cost optimization, 95% local-only saver, 100% block).
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- Traffic Control Room UI: Real-time dark operational interface featuring live topology graphs, playground inspector, SSE live request stream, visual rules builder, and cost savings simulator.
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- Developer CLI: Terminal diagnostics (`modelrouter doctor`), routing dry-run (`route`), execution (`run`), model catalog (`models`), and analytics (`analytics`).
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---
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## Quickstart
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### 1. Prerequisites
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- Python 3.10+
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- Node.js 18+ and npm
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### 2. Backend Setup
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```bash
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# Clone the repository
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git clone https://github.com/your-org/model-router.git
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cd model-router
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# Install dependencies
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pip install -r requirements.txt
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# Run system diagnostics
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python backend/app/cli/main.py doctor
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# Start API server (port 8000)
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python backend/main.py
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```
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### 3. Frontend Setup
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```bash
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cd frontend
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npm install
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npm run dev
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# Access UI at http://localhost:5173
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```
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---
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## CLI Usage Examples
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```bash
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# Inspect routing decision for a coding prompt (Dry Run)
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python backend/app/cli/main.py route "Write a Python function to parse JSON"
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# Route and execute a complex debugging query
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python backend/app/cli/main.py run "Debug this distributed async deadlock in high-throughput worker pool"
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# List active models in registry
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python backend/app/cli/main.py models
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# View aggregate system analytics
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python backend/app/cli/main.py analytics
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```
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---
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## Testing & Build Verification
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```bash
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# Run backend test suite (15 unit, integration, and e2e tests)
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pytest backend/tests
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# Build frontend production bundle
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cd frontend
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npm run build
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```
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---
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## License
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MIT License. Open-source software.
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+10
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# Model Router Security Policy
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## Reporting Security Vulnerabilities
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If you discover any security issues with API token handling, prompt injection vectors, or data exposure, please contact the maintainers immediately.
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## Zero-Secret Exposure Policy
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1. **API Keys**: External provider tokens (OpenAI, Anthropic, Gemini) are read strictly from local environment variables (`.env`) or secure system secrets.
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2. **Logs & Transcripts**: All outgoing observability logs automatically redact authorization headers, bearer tokens, and secrets.
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3. **Database Integrity**: SQLite storage only stores model identifiers and usage statistics; raw credentials are never persisted in plaintext database tables.
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4. **Browser Privacy**: Frontend client queries never receive or handle backend API keys.
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from typing import Dict, Any, List, Optional
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.storage.models import RequestRecord, FeedbackRecord, ModelRecord
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from app.config.settings import get_settings
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settings = get_settings()
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async def calculate_cost_savings(
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session: AsyncSession,
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baseline_model_id: Optional[str] = None,
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) -> Dict[str, Any]:
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"""
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Computes accurate, non-invented cost savings:
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Baseline Cost (if all requests were sent to baseline model) vs Actual Routed Cost.
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"""
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base_id = baseline_model_id or settings.BASELINE_MODEL_ID
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# Fetch baseline model pricing
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res_base = await session.execute(select(ModelRecord).filter_by(id=base_id))
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baseline_model = res_base.scalar_one_or_none()
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base_in_rate = baseline_model.cost_per_input_token if baseline_model else 0.000005
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base_out_rate = baseline_model.cost_per_output_token if baseline_model else 0.000015
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# Fetch aggregate requests
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res = await session.execute(
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select(
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func.count(RequestRecord.request_id),
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func.sum(RequestRecord.input_tokens),
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func.sum(RequestRecord.output_tokens),
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func.sum(RequestRecord.estimated_cost),
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)
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)
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total_reqs, total_in_tok, total_out_tok, total_routed_cost = res.one()
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total_reqs = total_reqs or 0
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total_in_tok = total_in_tok or 0
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total_out_tok = total_out_tok or 0
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total_routed_cost = round(total_routed_cost or 0.0, 6)
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# Theoretical cost if all traffic ran on baseline
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baseline_total_cost = round((total_in_tok * base_in_rate) + (total_out_tok * base_out_rate), 6)
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saved_amount = max(0.0, round(baseline_total_cost - total_routed_cost, 6))
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savings_percent = round((saved_amount / baseline_total_cost * 100.0), 2) if baseline_total_cost > 0 else 0.0
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return {
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"baseline_model": base_id,
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"total_requests": total_reqs,
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"total_input_tokens": total_in_tok,
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"total_output_tokens": total_out_tok,
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"baseline_total_cost": baseline_total_cost,
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"routed_total_cost": total_routed_cost,
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"cost_saved_usd": saved_amount,
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"savings_percentage": savings_percent,
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}
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async def get_system_analytics(session: AsyncSession) -> Dict[str, Any]:
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"""
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Collects full aggregate metrics for the dashboard.
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"""
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# 1. Totals & averages
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res = await session.execute(
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select(
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func.count(RequestRecord.request_id),
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func.avg(RequestRecord.total_latency_ms),
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func.avg(RequestRecord.routing_latency_ms),
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func.avg(RequestRecord.estimated_cost),
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func.sum(RequestRecord.estimated_cost),
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)
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)
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count, avg_lat, avg_route_lat, avg_cost, sum_cost = res.one()
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# 2. Distribution by model
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model_dist_res = await session.execute(
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select(RequestRecord.selected_model, func.count(RequestRecord.request_id))
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.group_by(RequestRecord.selected_model)
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)
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model_distribution = {m: c for m, c in model_dist_res.all()}
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# 3. Distribution by task type
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task_dist_res = await session.execute(
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select(RequestRecord.task_type, func.count(RequestRecord.request_id))
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.group_by(RequestRecord.task_type)
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)
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task_distribution = {t: c for t, c in task_dist_res.all()}
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# 4. Fallback rate
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fb_res = await session.execute(
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select(func.count(RequestRecord.request_id)).filter(RequestRecord.fallback_used == True)
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)
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fallback_count = fb_res.scalar() or 0
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fallback_rate = round((fallback_count / count * 100.0), 2) if count and count > 0 else 0.0
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# 5. User Feedback aggregate
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fb_pos_res = await session.execute(select(func.count(FeedbackRecord.id)).filter(FeedbackRecord.rating == 1))
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fb_neg_res = await session.execute(select(func.count(FeedbackRecord.id)).filter(FeedbackRecord.rating == -1))
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pos_feedback = fb_pos_res.scalar() or 0
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neg_feedback = fb_neg_res.scalar() or 0
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total_feedback = pos_feedback + neg_feedback
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quality_score = round((pos_feedback / total_feedback * 100.0), 1) if total_feedback > 0 else None
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savings = await calculate_cost_savings(session)
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return {
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"total_requests": count or 0,
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"avg_latency_ms": round(avg_lat or 0.0, 1),
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"avg_routing_latency_ms": round(avg_route_lat or 0.0, 1),
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"avg_cost_usd": round(avg_cost or 0.0, 6),
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"total_cost_usd": round(sum_cost or 0.0, 6),
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"quality_score_percent": quality_score,
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"fallback_rate_percent": fallback_rate,
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"fallback_count": fallback_count,
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"model_distribution": model_distribution,
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"task_distribution": task_distribution,
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"savings": savings,
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}
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import json
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import re
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from typing import Optional
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from app.models.schemas import RequestAnalysis, TaskType, PriorityLevel
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from app.analyzer.heuristics import analyze_request_heuristics, estimate_tokens
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from app.providers.registry import provider_registry
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from app.config.settings import get_settings
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settings = get_settings()
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CLASSIFIER_PROMPT = """You are a real-time request classifier for an intelligent LLM model router.
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Analyze the user prompt and return ONLY a JSON object matching this schema:
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{
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"task_type": "GENERAL_QA" | "CODING" | "DEBUGGING" | "REASONING" | "SUMMARIZATION" | "EXTRACTION" | "WRITING" | "TRANSLATION" | "ANALYSIS" | "MATH" | "LONG_CONTEXT" | "CREATIVE",
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"complexity": 0.0 to 1.0,
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"reasoning_required": true/false,
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"coding_required": true/false,
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"vision_required": true/false,
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"latency_priority": "LOW" | "MEDIUM" | "HIGH",
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"cost_sensitivity": "LOW" | "MEDIUM" | "HIGH",
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"quality_requirement": "LOW" | "MEDIUM" | "HIGH"
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}
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Output valid JSON only with no markdown wrapping or additional text.
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"""
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async def analyze_request(prompt: str, analyzer_mode: Optional[str] = None) -> RequestAnalysis:
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mode = (analyzer_mode or settings.ROUTER_ANALYZER).lower()
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if mode == "llm":
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try:
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# Attempt to use local or configured provider for classification
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provider = provider_registry.get_provider("ollama")
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if provider:
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health = await provider.check_health()
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if health.get("status") == "CONNECTED":
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resp = await provider.generate(
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prompt=f"Classify this request:\n\n{prompt[:1000]}",
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model_id="qwen2.5-coder",
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system_prompt=CLASSIFIER_PROMPT,
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temperature=0.1,
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)
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clean_json = re.search(r"\{.*\}", resp.content, re.DOTALL)
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if clean_json:
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data = json.loads(clean_json.group(0))
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comp = float(data.get("complexity", 0.5))
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comp_label = PriorityLevel.HIGH if comp >= 0.75 else (PriorityLevel.MEDIUM if comp >= 0.45 else PriorityLevel.LOW)
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return RequestAnalysis(
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task_type=TaskType(data.get("task_type", "GENERAL_QA")),
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complexity=comp,
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complexity_label=comp_label,
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reasoning_required=bool(data.get("reasoning_required", False)),
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coding_required=bool(data.get("coding_required", False)),
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vision_required=bool(data.get("vision_required", False)),
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context_size=estimate_tokens(prompt),
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latency_priority=PriorityLevel(data.get("latency_priority", "MEDIUM")),
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cost_sensitivity=PriorityLevel(data.get("cost_sensitivity", "MEDIUM")),
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quality_requirement=PriorityLevel(data.get("quality_requirement", "MEDIUM")),
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keywords_detected=["llm_classified"],
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analyzer_used="llm",
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)
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except Exception:
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# Graceful fallback to heuristics if LLM classifier is unavailable or times out
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pass
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# Default to fast, deterministic heuristics
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return analyze_request_heuristics(prompt)
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import re
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from typing import List, Tuple
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from app.models.schemas import TaskType, PriorityLevel, RequestAnalysis
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# Regex rules and indicator vocabularies
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DEBUG_PATTERNS = [
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r"\b(debug|bug|stacktrace|exception|error|fix this error|traceback|segfault|syntaxerror|nullpointer)\b",
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r"\b(crash|panicked|failed test|reproduce|root cause|undefined is not a function)\b",
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]
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CODING_PATTERNS = [
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r"\b(write a python|write code|implement|function|class |def |const |async def|typescript|javascript|golang|rust|react|sql query|endpoint|api client)\b",
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r"\b(refactor|algorithm|regex|unit test|dockerfile|kubernetes yaml|prisma|fastapi)\b",
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r"```[a-zA-Z0-9_-]*\n",
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]
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REASONING_PATTERNS = [
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r"\b(explain why|reasoning|step by step|proof|derive|why did|compare and contrast|architectural decision|tradeoffs|trade-offs|consequences of)\b",
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r"\b(game theory|logical fallacy|syllogism|first principles|hypothesize)\b",
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]
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MATH_PATTERNS = [
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r"\b(calculate|integral|derivative|matrix|eigenvalue|probability|equation|differential equation|solve for x|combinatorics|standard deviation)\b",
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r"[\$\\\^\{\}\[\]\=]{3,}",
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]
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SUMMARIZATION_PATTERNS = [
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r"\b(summarize|summary|tldr|tl;dr|key points|bullet points of this|condense|digest|brief overview)\b",
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]
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EXTRACTION_PATTERNS = [
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r"\b(extract|extract json|parse this table|pull all emails|convert to json|output as csv|structured data from)\b",
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]
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TRANSLATION_PATTERNS = [
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r"\b(translate to|translate into|in french|in spanish|in german|in japanese|in chinese|in hindi|translate from)\b",
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]
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CREATIVE_PATTERNS = [
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r"\b(write a poem|write a story|screenplay|brainstorm catchy|creative writing|dialogue between|fiction|metaphor)\b",
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]
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ANALYSIS_PATTERNS = [
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r"\b(analyze|breakdown|evaluate|critique|audit|financial report|trend analysis|pros and cons)\b",
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]
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||||
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def estimate_tokens(text: str) -> int:
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"""Fast, reliable token estimation (roughly 4 characters per token)."""
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||||
return max(1, len(text) // 4)
|
||||
|
||||
|
||||
def analyze_request_heuristics(prompt: str) -> RequestAnalysis:
|
||||
text_lower = prompt.lower()
|
||||
tokens = estimate_tokens(prompt)
|
||||
|
||||
detected_keywords: List[str] = []
|
||||
task_scores: dict[TaskType, float] = {t: 0.0 for t in TaskType}
|
||||
|
||||
# 1. Evaluate patterns
|
||||
for p in DEBUG_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.DEBUGGING] += len(matches) * 2.5
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in CODING_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.CODING] += len(matches) * 2.0
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in REASONING_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.REASONING] += len(matches) * 2.0
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in MATH_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.MATH] += len(matches) * 2.2
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in SUMMARIZATION_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.SUMMARIZATION] += len(matches) * 2.5
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in EXTRACTION_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.EXTRACTION] += len(matches) * 2.0
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in TRANSLATION_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.TRANSLATION] += len(matches) * 3.0
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in CREATIVE_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.CREATIVE] += len(matches) * 2.0
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
for p in ANALYSIS_PATTERNS:
|
||||
matches = re.findall(p, text_lower)
|
||||
if matches:
|
||||
task_scores[TaskType.ANALYSIS] += len(matches) * 1.8
|
||||
detected_keywords.extend(matches)
|
||||
|
||||
# Long context check
|
||||
if tokens > 4000:
|
||||
task_scores[TaskType.LONG_CONTEXT] += 3.0
|
||||
|
||||
# 2. Determine Primary Task
|
||||
best_task = TaskType.GENERAL_QA
|
||||
max_score = 0.0
|
||||
for task, score in task_scores.items():
|
||||
if score > max_score:
|
||||
max_score = score
|
||||
best_task = task
|
||||
|
||||
# 3. Derive Complexity (0.0 to 1.0)
|
||||
complexity = 0.35 # Base complexity
|
||||
|
||||
# Token length factor
|
||||
if tokens > 10000:
|
||||
complexity += 0.30
|
||||
elif tokens > 3000:
|
||||
complexity += 0.20
|
||||
elif tokens > 800:
|
||||
complexity += 0.10
|
||||
elif tokens < 30:
|
||||
complexity -= 0.10
|
||||
|
||||
# Task inherent complexity
|
||||
if best_task in (TaskType.DEBUGGING, TaskType.MATH, TaskType.REASONING):
|
||||
complexity += 0.30
|
||||
elif best_task in (TaskType.CODING, TaskType.ANALYSIS, TaskType.LONG_CONTEXT):
|
||||
complexity += 0.20
|
||||
elif best_task in (TaskType.TRANSLATION, TaskType.EXTRACTION, TaskType.SUMMARIZATION):
|
||||
complexity += 0.05
|
||||
elif best_task == TaskType.GENERAL_QA and tokens < 50:
|
||||
complexity -= 0.15
|
||||
|
||||
# Multi-step keyword boosts
|
||||
if any(k in text_lower for k in ["distributed", "async", "concurrency", "deadlock", "microservices", "architecture"]):
|
||||
complexity += 0.25
|
||||
if any(k in text_lower for k in ["simple", "quick", "one liner", "easy", "hello world"]):
|
||||
complexity -= 0.20
|
||||
|
||||
complexity = max(0.05, min(0.99, round(complexity, 2)))
|
||||
|
||||
# 4. Priority and Capabilities
|
||||
coding_required = best_task in (TaskType.CODING, TaskType.DEBUGGING) or task_scores[TaskType.CODING] > 0
|
||||
reasoning_required = best_task in (TaskType.REASONING, TaskType.DEBUGGING, TaskType.MATH) or complexity >= 0.70
|
||||
|
||||
if complexity >= 0.75:
|
||||
complexity_label = PriorityLevel.HIGH
|
||||
quality_req = PriorityLevel.HIGH
|
||||
latency_pri = PriorityLevel.LOW
|
||||
cost_sens = PriorityLevel.LOW
|
||||
elif complexity >= 0.45:
|
||||
complexity_label = PriorityLevel.MEDIUM
|
||||
quality_req = PriorityLevel.MEDIUM
|
||||
latency_pri = PriorityLevel.MEDIUM
|
||||
cost_sens = PriorityLevel.MEDIUM
|
||||
else:
|
||||
complexity_label = PriorityLevel.LOW
|
||||
quality_req = PriorityLevel.LOW
|
||||
latency_pri = PriorityLevel.HIGH
|
||||
cost_sens = PriorityLevel.HIGH
|
||||
|
||||
return RequestAnalysis(
|
||||
task_type=best_task,
|
||||
complexity=complexity,
|
||||
complexity_label=complexity_label,
|
||||
reasoning_required=reasoning_required,
|
||||
coding_required=coding_required,
|
||||
vision_required=False,
|
||||
tools_required=False,
|
||||
context_size=tokens,
|
||||
latency_priority=latency_pri,
|
||||
cost_sensitivity=cost_sens,
|
||||
quality_requirement=quality_req,
|
||||
keywords_detected=list(set(detected_keywords))[:10],
|
||||
analyzer_used="rules",
|
||||
)
|
||||
@@ -0,0 +1,532 @@
|
||||
import uuid
|
||||
import time
|
||||
import asyncio
|
||||
from typing import List, Optional, Dict, Any
|
||||
from fastapi import APIRouter, Depends, HTTPException, Query
|
||||
from pydantic import BaseModel, Field
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
from sqlalchemy import select, desc
|
||||
|
||||
from app.storage.database import get_db
|
||||
from app.storage.models import (
|
||||
ModelRecord,
|
||||
RoutingPolicyRecord,
|
||||
RoutingRuleRecord,
|
||||
RequestRecord,
|
||||
RoutingDecisionRecord,
|
||||
ResponseRecord,
|
||||
FeedbackRecord,
|
||||
BudgetRecord,
|
||||
ExperimentRecord,
|
||||
)
|
||||
from app.models.schemas import (
|
||||
ModelMetadata,
|
||||
RequestAnalysis,
|
||||
RoutingDecision,
|
||||
ProviderResponse,
|
||||
ModelTier,
|
||||
)
|
||||
from app.analyzer.analyzer import analyze_request
|
||||
from app.router.engine import route_request
|
||||
from app.fallback.handler import execute_with_fallback
|
||||
from app.budgets.manager import check_budget_threshold
|
||||
from app.observability.events import log_router_event
|
||||
from app.analytics.service import get_system_analytics, calculate_cost_savings
|
||||
from app.providers.registry import provider_registry
|
||||
from app.config.settings import get_settings
|
||||
|
||||
router = APIRouter()
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
class RouteOnlyRequest(BaseModel):
|
||||
prompt: str = Field(..., min_length=1, description="Prompt text to analyze and route")
|
||||
policy: Optional[str] = None
|
||||
analyzer_mode: Optional[str] = None
|
||||
|
||||
|
||||
class GenerateRequest(BaseModel):
|
||||
prompt: str = Field(..., min_length=1)
|
||||
system_prompt: Optional[str] = None
|
||||
policy: Optional[str] = None
|
||||
analyzer_mode: Optional[str] = None
|
||||
force_model: Optional[str] = None
|
||||
temperature: float = 0.7
|
||||
max_retries: int = 1
|
||||
|
||||
|
||||
class FeedbackSubmitRequest(BaseModel):
|
||||
request_id: str
|
||||
rating: int = Field(..., description="1 for up, -1 for down")
|
||||
comment: Optional[str] = None
|
||||
|
||||
|
||||
class ModelCreateRequest(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
provider: str
|
||||
type: str = "LOCAL"
|
||||
tier: str = "BALANCED"
|
||||
context_window: int = 32768
|
||||
supports_coding: bool = True
|
||||
supports_reasoning: bool = True
|
||||
supports_vision: bool = False
|
||||
supports_tools: bool = True
|
||||
quality_score: float = 0.85
|
||||
speed_score: float = 0.85
|
||||
cost_per_input_token: float = 0.0
|
||||
cost_per_output_token: float = 0.0
|
||||
|
||||
|
||||
class RuleCreateRequest(BaseModel):
|
||||
id: Optional[str] = None
|
||||
name: str
|
||||
description: Optional[str] = None
|
||||
priority: int = 10
|
||||
is_enabled: bool = True
|
||||
condition_field: str
|
||||
condition_operator: str
|
||||
condition_value: str
|
||||
action_type: str
|
||||
action_target: str
|
||||
|
||||
|
||||
# Helper to convert DB model record to Pydantic ModelMetadata
|
||||
def db_model_to_meta(m: ModelRecord) -> ModelMetadata:
|
||||
return ModelMetadata(
|
||||
id=m.id,
|
||||
name=m.name,
|
||||
provider=m.provider,
|
||||
type=m.type,
|
||||
tier=ModelTier(m.tier) if m.tier in [t.value for t in ModelTier] else ModelTier.BALANCED,
|
||||
context_window=m.context_window,
|
||||
supports_coding=m.supports_coding,
|
||||
supports_reasoning=m.supports_reasoning,
|
||||
supports_vision=m.supports_vision,
|
||||
supports_tools=m.supports_tools,
|
||||
quality_score=m.quality_score,
|
||||
speed_score=m.speed_score,
|
||||
reliability_score=m.reliability_score,
|
||||
cost_per_input_token=m.cost_per_input_token,
|
||||
cost_per_output_token=m.cost_per_output_token,
|
||||
availability=m.availability,
|
||||
is_active=m.is_active,
|
||||
)
|
||||
|
||||
|
||||
@router.post("/api/route", response_model=Dict[str, Any])
|
||||
async def api_route_prompt(req: RouteOnlyRequest, db: AsyncSession = Depends(get_db)):
|
||||
"""
|
||||
Dry-run routing inspection endpoint:
|
||||
Analyzes request and produces structured routing decision without invoking provider.
|
||||
"""
|
||||
t_start = time.perf_counter()
|
||||
req_id = f"req_{uuid.uuid4().hex[:12]}"
|
||||
|
||||
# 1. Analyze Request
|
||||
analysis = await analyze_request(req.prompt, req.analyzer_mode)
|
||||
|
||||
# 2. Fetch Models & Policy
|
||||
res_m = await db.execute(select(ModelRecord).filter_by(is_active=True))
|
||||
db_models = res_m.scalars().all()
|
||||
models = [db_model_to_meta(m) for m in db_models]
|
||||
|
||||
policy_name = req.policy or settings.DEFAULT_ROUTING_POLICY
|
||||
res_p = await db.execute(select(RoutingPolicyRecord).filter_by(id=policy_name))
|
||||
policy = res_p.scalar_one_or_none()
|
||||
weights = {
|
||||
"quality_weight": policy.quality_weight if policy else 0.35,
|
||||
"cost_weight": policy.cost_weight if policy else 0.25,
|
||||
"speed_weight": policy.speed_weight if policy else 0.20,
|
||||
"capability_weight": policy.capability_weight if policy else 0.15,
|
||||
"reliability_weight": policy.reliability_weight if policy else 0.05,
|
||||
}
|
||||
|
||||
# 3. Fetch Rules & Budget Check
|
||||
res_r = await db.execute(select(RoutingRuleRecord).filter_by(is_enabled=True))
|
||||
rules = res_r.scalars().all()
|
||||
budget_pct, _ = await check_budget_threshold(db, 0.0)
|
||||
|
||||
# 4. Routing Decision
|
||||
decision = route_request(
|
||||
analysis=analysis,
|
||||
available_models=models,
|
||||
policy_weights=weights,
|
||||
policy_name=policy_name,
|
||||
rules=rules,
|
||||
budget_percent=budget_pct,
|
||||
request_id=req_id,
|
||||
)
|
||||
|
||||
t_route_ms = (time.perf_counter() - t_start) * 1000.0
|
||||
|
||||
return {
|
||||
"request_id": req_id,
|
||||
"analysis": analysis.model_dump(),
|
||||
"decision": decision.model_dump(),
|
||||
"routing_latency_ms": round(t_route_ms, 2),
|
||||
}
|
||||
|
||||
|
||||
@router.post("/api/generate", response_model=Dict[str, Any])
|
||||
async def api_generate_response(req: GenerateRequest, db: AsyncSession = Depends(get_db)):
|
||||
"""
|
||||
End-to-End routed execution:
|
||||
Analyzes -> Routes -> Executes Selected Model / Fallback -> Records Decision & Metrics.
|
||||
"""
|
||||
t_start = time.perf_counter()
|
||||
req_id = f"req_{uuid.uuid4().hex[:12]}"
|
||||
|
||||
# 1. Analyze Request
|
||||
analysis = await analyze_request(req.prompt, req.analyzer_mode)
|
||||
|
||||
# 2. Fetch Models & Policy
|
||||
res_m = await db.execute(select(ModelRecord).filter_by(is_active=True))
|
||||
db_models = res_m.scalars().all()
|
||||
models = [db_model_to_meta(m) for m in db_models]
|
||||
|
||||
policy_name = req.policy or settings.DEFAULT_ROUTING_POLICY
|
||||
res_p = await db.execute(select(RoutingPolicyRecord).filter_by(id=policy_name))
|
||||
policy = res_p.scalar_one_or_none()
|
||||
weights = {
|
||||
"quality_weight": policy.quality_weight if policy else 0.35,
|
||||
"cost_weight": policy.cost_weight if policy else 0.25,
|
||||
"speed_weight": policy.speed_weight if policy else 0.20,
|
||||
"capability_weight": policy.capability_weight if policy else 0.15,
|
||||
"reliability_weight": policy.reliability_weight if policy else 0.05,
|
||||
}
|
||||
|
||||
# 3. Fetch Rules & Budget Check
|
||||
res_r = await db.execute(select(RoutingRuleRecord).filter_by(is_enabled=True))
|
||||
rules = res_r.scalars().all()
|
||||
budget_pct, budget_mode = await check_budget_threshold(db, 0.0)
|
||||
|
||||
# 4. Route
|
||||
decision = route_request(
|
||||
analysis=analysis,
|
||||
available_models=models,
|
||||
policy_weights=weights,
|
||||
policy_name=policy_name,
|
||||
rules=rules,
|
||||
budget_percent=budget_pct,
|
||||
request_id=req_id,
|
||||
)
|
||||
|
||||
t_routing_done = time.perf_counter()
|
||||
routing_latency_ms = (t_routing_done - t_start) * 1000.0
|
||||
|
||||
# If force model requested, override
|
||||
selected_model_id = req.force_model or decision.selected_model
|
||||
target_meta = next((m for m in models if m.id == selected_model_id), None)
|
||||
selected_provider_id = target_meta.provider if target_meta else decision.provider
|
||||
|
||||
# 5. Provider Execution with Fallback & Retries
|
||||
provider_resp, fallback_used, orig_model, fallback_reason = await execute_with_fallback(
|
||||
prompt=req.prompt,
|
||||
selected_model_id=selected_model_id,
|
||||
selected_provider_id=selected_provider_id,
|
||||
all_models=models,
|
||||
system_prompt=req.system_prompt,
|
||||
temperature=req.temperature,
|
||||
max_retries=req.max_retries,
|
||||
)
|
||||
|
||||
total_latency_ms = (time.perf_counter() - t_start) * 1000.0
|
||||
|
||||
# 6. Calculate actual costs
|
||||
actual_model_meta = next((m for m in models if m.id == provider_resp.model), target_meta)
|
||||
cost_in_rate = actual_model_meta.cost_per_input_token if actual_model_meta else 0.0
|
||||
cost_out_rate = actual_model_meta.cost_per_output_token if actual_model_meta else 0.0
|
||||
actual_cost = round((provider_resp.input_tokens * cost_in_rate) + (provider_resp.output_tokens * cost_out_rate), 6)
|
||||
|
||||
# Baseline cost calculation
|
||||
res_base = await db.execute(select(ModelRecord).filter_by(id=settings.BASELINE_MODEL_ID))
|
||||
base_m = res_base.scalar_one_or_none()
|
||||
base_cost = 0.0
|
||||
if base_m:
|
||||
base_cost = round((provider_resp.input_tokens * base_m.cost_per_input_token) + (provider_resp.output_tokens * base_m.cost_per_output_token), 6)
|
||||
saved_cost = max(0.0, round(base_cost - actual_cost, 6))
|
||||
|
||||
# Update budget spend
|
||||
await check_budget_threshold(db, actual_cost)
|
||||
|
||||
# 7. Persistence
|
||||
req_record = RequestRecord(
|
||||
request_id=req_id,
|
||||
prompt=req.prompt,
|
||||
task_type=analysis.task_type.value,
|
||||
complexity=analysis.complexity,
|
||||
context_size=analysis.context_size,
|
||||
reasoning_required=analysis.reasoning_required,
|
||||
coding_required=analysis.coding_required,
|
||||
routing_policy=policy_name,
|
||||
selected_model=provider_resp.model or selected_model_id,
|
||||
provider=provider_resp.provider or selected_provider_id,
|
||||
status="FALLBACK" if fallback_used else ("FAILED" if provider_resp.error else "SUCCESS"),
|
||||
fallback_used=fallback_used,
|
||||
original_model=orig_model,
|
||||
fallback_reason=fallback_reason,
|
||||
input_tokens=provider_resp.input_tokens,
|
||||
output_tokens=provider_resp.output_tokens,
|
||||
total_tokens=provider_resp.total_tokens,
|
||||
estimated_cost=actual_cost,
|
||||
baseline_cost=base_cost,
|
||||
cost_saved=saved_cost,
|
||||
routing_latency_ms=round(routing_latency_ms, 2),
|
||||
provider_latency_ms=round(provider_resp.provider_latency_ms, 2),
|
||||
total_latency_ms=round(total_latency_ms, 2),
|
||||
time_to_first_token_ms=provider_resp.time_to_first_token_ms,
|
||||
)
|
||||
db.add(req_record)
|
||||
|
||||
decision_record = RoutingDecisionRecord(
|
||||
decision_id=decision.decision_id,
|
||||
request_id=req_id,
|
||||
selected_model=decision.selected_model,
|
||||
confidence=decision.confidence,
|
||||
reasons=decision.reasons,
|
||||
candidate_scores=[s.model_dump() for s in decision.candidate_scores],
|
||||
rejected_candidates=decision.rejected_candidates,
|
||||
policy_used=policy_name,
|
||||
)
|
||||
db.add(decision_record)
|
||||
|
||||
resp_record = ResponseRecord(
|
||||
response_id=f"resp_{uuid.uuid4().hex[:12]}",
|
||||
request_id=req_id,
|
||||
model_id=provider_resp.model or selected_model_id,
|
||||
provider=provider_resp.provider or selected_provider_id,
|
||||
content=provider_resp.content,
|
||||
finish_reason=provider_resp.finish_reason,
|
||||
is_mock=provider_resp.is_mock,
|
||||
)
|
||||
db.add(resp_record)
|
||||
await db.commit()
|
||||
|
||||
# 8. Structured Observability Event
|
||||
log_router_event(
|
||||
event_name="request_completed",
|
||||
request_id=req_id,
|
||||
model=provider_resp.model,
|
||||
provider=provider_resp.provider,
|
||||
duration_ms=round(total_latency_ms, 2),
|
||||
metadata={"tokens": provider_resp.total_tokens, "cost": actual_cost, "fallback": fallback_used},
|
||||
)
|
||||
|
||||
return {
|
||||
"request_id": req_id,
|
||||
"analysis": analysis.model_dump(),
|
||||
"decision": decision.model_dump(),
|
||||
"response": provider_resp.model_dump(),
|
||||
"metrics": {
|
||||
"routing_latency_ms": round(routing_latency_ms, 2),
|
||||
"provider_latency_ms": round(provider_resp.provider_latency_ms, 2),
|
||||
"total_latency_ms": round(total_latency_ms, 2),
|
||||
"estimated_cost_usd": actual_cost,
|
||||
"baseline_cost_usd": base_cost,
|
||||
"cost_saved_usd": saved_cost,
|
||||
"fallback_used": fallback_used,
|
||||
"fallback_reason": fallback_reason,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
# Models & Registry Endpoints
|
||||
@router.get("/api/models")
|
||||
async def list_models(db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(ModelRecord).order_by(ModelRecord.tier, ModelRecord.name))
|
||||
return res.scalars().all()
|
||||
|
||||
|
||||
@router.post("/api/models")
|
||||
async def create_model(req: ModelCreateRequest, db: AsyncSession = Depends(get_db)):
|
||||
record = ModelRecord(
|
||||
id=req.id,
|
||||
name=req.name,
|
||||
provider=req.provider,
|
||||
type=req.type,
|
||||
tier=req.tier,
|
||||
context_window=req.context_window,
|
||||
supports_coding=req.supports_coding,
|
||||
supports_reasoning=req.supports_reasoning,
|
||||
supports_vision=req.supports_vision,
|
||||
supports_tools=req.supports_tools,
|
||||
quality_score=req.quality_score,
|
||||
speed_score=req.speed_score,
|
||||
cost_per_input_token=req.cost_per_input_token,
|
||||
cost_per_output_token=req.cost_per_output_token,
|
||||
)
|
||||
db.add(record)
|
||||
await db.commit()
|
||||
return record
|
||||
|
||||
|
||||
# Providers Endpoint (Never returning secrets)
|
||||
@router.get("/api/providers")
|
||||
async def list_providers(db: AsyncSession = Depends(get_db)):
|
||||
providers_info = []
|
||||
for pid, p in provider_registry.list_providers().items():
|
||||
health = await p.check_health()
|
||||
providers_info.append({
|
||||
"id": pid,
|
||||
"name": p.name,
|
||||
"status": health.get("status", "READY"),
|
||||
"base_url": p.base_url,
|
||||
"message": health.get("message"),
|
||||
"models_available": health.get("models_available", []),
|
||||
"credentials_status": "Loaded from environment (.env)" if getattr(p, "api_key", None) or pid in ["mock", "ollama"] else "Not configured",
|
||||
})
|
||||
return providers_info
|
||||
|
||||
|
||||
# Live Traffic & Decisions
|
||||
@router.get("/api/traffic")
|
||||
async def get_traffic_feed(limit: int = 50, db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RequestRecord).order_by(desc(RequestRecord.timestamp)).limit(limit))
|
||||
return res.scalars().all()
|
||||
|
||||
|
||||
@router.get("/api/decisions/{decision_id_or_request_id}")
|
||||
async def get_decision_details(decision_id_or_request_id: str, db: AsyncSession = Depends(get_db)):
|
||||
res_dec = await db.execute(
|
||||
select(RoutingDecisionRecord).filter(
|
||||
(RoutingDecisionRecord.decision_id == decision_id_or_request_id)
|
||||
| (RoutingDecisionRecord.request_id == decision_id_or_request_id)
|
||||
)
|
||||
)
|
||||
dec = res_dec.scalar_one_or_none()
|
||||
if not dec:
|
||||
raise HTTPException(status_code=404, detail="Decision not found")
|
||||
|
||||
res_req = await db.execute(select(RequestRecord).filter_by(request_id=dec.request_id))
|
||||
req = res_req.scalar_one_or_none()
|
||||
|
||||
res_resp = await db.execute(select(ResponseRecord).filter_by(request_id=dec.request_id))
|
||||
resp = res_resp.scalar_one_or_none()
|
||||
|
||||
return {
|
||||
"decision": dec,
|
||||
"request": req,
|
||||
"response": resp,
|
||||
}
|
||||
|
||||
|
||||
# Feedback
|
||||
@router.post("/api/feedback")
|
||||
async def submit_feedback(req: FeedbackSubmitRequest, db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RequestRecord).filter_by(request_id=req.request_id))
|
||||
request_rec = res.scalar_one_or_none()
|
||||
if not request_rec:
|
||||
raise HTTPException(status_code=404, detail="Request ID not found")
|
||||
|
||||
feedback = FeedbackRecord(
|
||||
id=f"fb_{uuid.uuid4().hex[:10]}",
|
||||
request_id=req.request_id,
|
||||
model_id=request_rec.selected_model,
|
||||
task_type=request_rec.task_type,
|
||||
rating=1 if req.rating > 0 else -1,
|
||||
comment=req.comment,
|
||||
)
|
||||
db.add(feedback)
|
||||
await db.commit()
|
||||
return {"status": "success", "feedback_id": feedback.id}
|
||||
|
||||
|
||||
# Analytics Endpoints
|
||||
@router.get("/api/analytics")
|
||||
async def get_analytics(db: AsyncSession = Depends(get_db)):
|
||||
return await get_system_analytics(db)
|
||||
|
||||
|
||||
@router.get("/api/analytics/savings")
|
||||
async def get_savings(baseline_model: Optional[str] = None, db: AsyncSession = Depends(get_db)):
|
||||
return await calculate_cost_savings(db, baseline_model)
|
||||
|
||||
|
||||
# Rules Endpoints
|
||||
@router.get("/api/rules")
|
||||
async def list_rules(db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RoutingRuleRecord).order_by(desc(RoutingRuleRecord.priority)))
|
||||
return res.scalars().all()
|
||||
|
||||
|
||||
@router.post("/api/rules")
|
||||
async def create_rule(req: RuleCreateRequest, db: AsyncSession = Depends(get_db)):
|
||||
rule_id = req.id or f"rule-{uuid.uuid4().hex[:8]}"
|
||||
record = RoutingRuleRecord(
|
||||
id=rule_id,
|
||||
name=req.name,
|
||||
description=req.description,
|
||||
priority=req.priority,
|
||||
is_enabled=req.is_enabled,
|
||||
condition_field=req.condition_field,
|
||||
condition_operator=req.condition_operator,
|
||||
condition_value=req.condition_value,
|
||||
action_type=req.action_type,
|
||||
action_target=req.action_target,
|
||||
)
|
||||
db.add(record)
|
||||
await db.commit()
|
||||
return record
|
||||
|
||||
|
||||
@router.put("/api/rules/{rule_id}")
|
||||
async def update_rule(rule_id: str, req: RuleCreateRequest, db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RoutingRuleRecord).filter_by(id=rule_id))
|
||||
rule = res.scalar_one_or_none()
|
||||
if not rule:
|
||||
raise HTTPException(status_code=404, detail="Rule not found")
|
||||
rule.name = req.name
|
||||
rule.description = req.description
|
||||
rule.priority = req.priority
|
||||
rule.is_enabled = req.is_enabled
|
||||
rule.condition_field = req.condition_field
|
||||
rule.condition_operator = req.condition_operator
|
||||
rule.condition_value = req.condition_value
|
||||
rule.action_type = req.action_type
|
||||
rule.action_target = req.action_target
|
||||
await db.commit()
|
||||
return rule
|
||||
|
||||
|
||||
@router.delete("/api/rules/{rule_id}")
|
||||
async def delete_rule(rule_id: str, db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RoutingRuleRecord).filter_by(id=rule_id))
|
||||
rule = res.scalar_one_or_none()
|
||||
if not rule:
|
||||
raise HTTPException(status_code=404, detail="Rule not found")
|
||||
await db.delete(rule)
|
||||
await db.commit()
|
||||
return {"status": "deleted", "id": rule_id}
|
||||
|
||||
|
||||
# Policies
|
||||
@router.get("/api/policies")
|
||||
async def list_policies(db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(RoutingPolicyRecord))
|
||||
return res.scalars().all()
|
||||
|
||||
|
||||
# Budgets
|
||||
@router.get("/api/budgets")
|
||||
async def get_budget(db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(BudgetRecord).filter_by(id="default"))
|
||||
return res.scalar_one_or_none()
|
||||
|
||||
|
||||
# Experiments
|
||||
@router.get("/api/experiments")
|
||||
async def list_experiments(db: AsyncSession = Depends(get_db)):
|
||||
res = await db.execute(select(ExperimentRecord))
|
||||
return res.scalars().all()
|
||||
|
||||
|
||||
# Health Check
|
||||
@router.get("/api/health")
|
||||
async def get_health():
|
||||
return {
|
||||
"status": "healthy",
|
||||
"service": "Model Router AI Control Room",
|
||||
"version": "1.0.0",
|
||||
"environment": settings.APP_ENV,
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
from typing import Tuple
|
||||
from sqlalchemy import select
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
from app.storage.models import BudgetRecord
|
||||
|
||||
|
||||
async def check_budget_threshold(
|
||||
session: AsyncSession,
|
||||
cost_to_add: float = 0.0,
|
||||
) -> Tuple[float, str]:
|
||||
"""
|
||||
Checks current budget utilization percentage and determines intervention mode:
|
||||
- NORMAL (< 80%)
|
||||
- OPTIMIZE_80 (>= 80% and < 95%)
|
||||
- CHEAP_95 (>= 95% and < 100%)
|
||||
- BLOCK_100 (>= 100%)
|
||||
"""
|
||||
res = await session.execute(select(BudgetRecord).filter_by(id="default"))
|
||||
budget = res.scalar_one_or_none()
|
||||
if not budget:
|
||||
return 0.0, "NORMAL"
|
||||
|
||||
monthly_limit = budget.monthly_limit or 100.0
|
||||
current_spend = budget.current_monthly_spend + cost_to_add
|
||||
percent = (current_spend / monthly_limit) * 100.0 if monthly_limit > 0 else 0.0
|
||||
|
||||
mode = "NORMAL"
|
||||
if percent >= 100.0:
|
||||
mode = "BLOCK_100"
|
||||
elif percent >= 95.0:
|
||||
mode = "CHEAP_95"
|
||||
elif percent >= 80.0:
|
||||
mode = "OPTIMIZE_80"
|
||||
|
||||
budget.current_monthly_spend = current_spend
|
||||
budget.intervention_mode = mode
|
||||
await session.commit()
|
||||
|
||||
return round(percent, 2), mode
|
||||
@@ -0,0 +1,269 @@
|
||||
import sys
|
||||
import os
|
||||
import asyncio
|
||||
import httpx
|
||||
import typer
|
||||
from rich.console import Console
|
||||
from rich.table import Table
|
||||
from rich.panel import Panel
|
||||
from rich.text import Text
|
||||
|
||||
# Set UTF-8 encoding support for Windows terminals
|
||||
if sys.platform.startswith("win"):
|
||||
try:
|
||||
sys.stdout.reconfigure(encoding="utf-8")
|
||||
sys.stderr.reconfigure(encoding="utf-8")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
|
||||
from app.config.settings import get_settings
|
||||
from app.analyzer.heuristics import analyze_request_heuristics
|
||||
from app.router.engine import route_request
|
||||
from app.storage.database import init_db, AsyncSessionLocal
|
||||
from app.storage.models import ModelRecord, RoutingPolicyRecord
|
||||
from app.api.routes import db_model_to_meta
|
||||
from app.fallback.handler import execute_with_fallback
|
||||
from sqlalchemy import select
|
||||
|
||||
app = typer.Typer(help="Model Router: Intelligent LLM Request Routing Platform")
|
||||
console = Console(safe_box=True)
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
@app.command()
|
||||
def doctor():
|
||||
"""Run environment, connectivity, and dependency health checks."""
|
||||
console.print(Panel.fit("[bold cyan]Model Router Diagnostics (modelrouter doctor)[/bold cyan]"))
|
||||
|
||||
# 1. Python Check
|
||||
py_ver = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
|
||||
console.print(f" [green][OK][/green] Python: [bold]{py_ver}[/bold]")
|
||||
|
||||
# 2. Database Check
|
||||
try:
|
||||
asyncio.run(init_db())
|
||||
console.print(" [green][OK][/green] SQLite Database: [bold]Initialized & Ready[/bold]")
|
||||
except Exception as exc:
|
||||
console.print(f" [red][FAIL][/red] Database Error: {exc}")
|
||||
|
||||
# 3. Ollama Connectivity Check
|
||||
ollama_ok = False
|
||||
try:
|
||||
r = httpx.get(f"{settings.OLLAMA_BASE_URL}/api/tags", timeout=1.5)
|
||||
if r.status_code == 200:
|
||||
models = [m.get("name") for m in r.json().get("models", [])]
|
||||
console.print(f" [green][OK][/green] Ollama (Local): [bold]Connected[/bold] ({len(models)} local models found)")
|
||||
ollama_ok = True
|
||||
except Exception:
|
||||
pass
|
||||
if not ollama_ok:
|
||||
console.print(f" [yellow][!][/yellow] Ollama (Local): [dim]Not running on {settings.OLLAMA_BASE_URL} (Optional, local fallback available)[/dim]")
|
||||
|
||||
# 4. Mock Engine
|
||||
console.print(" [green][OK][/green] Mock Engine: [bold]Ready (Zero API keys required)[/bold]")
|
||||
|
||||
# 5. External Providers
|
||||
if settings.OPENAI_API_KEY:
|
||||
console.print(" [green][OK][/green] OpenAI Provider: [bold]API Key Configured in .env[/bold]")
|
||||
else:
|
||||
console.print(" [yellow][!][/yellow] OpenAI Provider: [dim]Not configured (Optional)[/dim]")
|
||||
|
||||
if settings.ANTHROPIC_API_KEY:
|
||||
console.print(" [green][OK][/green] Anthropic Provider: [bold]API Key Configured in .env[/bold]")
|
||||
else:
|
||||
console.print(" [yellow][!][/yellow] Anthropic Provider: [dim]Not configured (Optional)[/dim]")
|
||||
|
||||
if settings.GEMINI_API_KEY:
|
||||
console.print(" [green][OK][/green] Gemini Provider: [bold]API Key Configured in .env[/bold]")
|
||||
else:
|
||||
console.print(" [yellow][!][/yellow] Gemini Provider: [dim]Not configured (Optional)[/dim]")
|
||||
|
||||
console.print("\n[bold green]Ready for local-first intelligent routing![/bold green]\n")
|
||||
|
||||
|
||||
@app.command()
|
||||
def models():
|
||||
"""List all registered candidate models and their capability scores."""
|
||||
async def _list():
|
||||
await init_db()
|
||||
async with AsyncSessionLocal() as db:
|
||||
res = await db.execute(select(ModelRecord).order_by(ModelRecord.tier, ModelRecord.name))
|
||||
records = res.scalars().all()
|
||||
|
||||
table = Table(title="Model Router Registry", border_style="bright_blue")
|
||||
table.add_column("Model ID", style="cyan", no_wrap=True)
|
||||
table.add_column("Tier", style="magenta")
|
||||
table.add_column("Provider", style="green")
|
||||
table.add_column("Context", style="yellow")
|
||||
table.add_column("Quality", style="blue")
|
||||
table.add_column("Speed", style="cyan")
|
||||
table.add_column("Cost / 1K In/Out", style="white")
|
||||
|
||||
for m in records:
|
||||
cost_str = f"${m.cost_per_input_token*1000:.4f} / ${m.cost_per_output_token*1000:.4f}" if m.cost_per_input_token > 0 else "Free ($0)"
|
||||
table.add_row(
|
||||
m.id,
|
||||
m.tier,
|
||||
m.provider,
|
||||
f"{m.context_window:,}",
|
||||
f"{m.quality_score*100:.0f}%",
|
||||
f"{m.speed_score*100:.0f}%",
|
||||
cost_str,
|
||||
)
|
||||
console.print(table)
|
||||
|
||||
asyncio.run(_list())
|
||||
|
||||
|
||||
@app.command()
|
||||
def route(
|
||||
prompt: str = typer.Argument(..., help="Prompt text to route"),
|
||||
policy: str = typer.Option("balanced", "--policy", "-p", help="Routing policy to use"),
|
||||
):
|
||||
"""Analyze prompt and explain why the optimal model was selected (Dry Run)."""
|
||||
async def _route():
|
||||
await init_db()
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
|
||||
async with AsyncSessionLocal() as db:
|
||||
res_m = await db.execute(select(ModelRecord).filter_by(is_active=True))
|
||||
models = [db_model_to_meta(m) for m in res_m.scalars().all()]
|
||||
|
||||
res_p = await db.execute(select(RoutingPolicyRecord).filter_by(id=policy))
|
||||
pol = res_p.scalar_one_or_none()
|
||||
weights = {
|
||||
"quality_weight": pol.quality_weight if pol else 0.35,
|
||||
"cost_weight": pol.cost_weight if pol else 0.25,
|
||||
"speed_weight": pol.speed_weight if pol else 0.20,
|
||||
"capability_weight": pol.capability_weight if pol else 0.15,
|
||||
"reliability_weight": pol.reliability_weight if pol else 0.05,
|
||||
}
|
||||
|
||||
decision = route_request(
|
||||
analysis=analysis,
|
||||
available_models=models,
|
||||
policy_weights=weights,
|
||||
policy_name=policy,
|
||||
)
|
||||
|
||||
console.print(Panel.fit(
|
||||
f"[bold white]Prompt:[/bold white] \"{prompt}\"\n"
|
||||
f"[bold cyan]Task Type:[/bold cyan] {analysis.task_type.value} | [bold cyan]Complexity:[/bold cyan] {analysis.complexity_label.value} ({analysis.complexity:.2f})\n"
|
||||
f"[bold green]Selected Model:[/bold green] [bold yellow]{decision.selected_model_name}[/bold yellow] ({decision.selected_model})\n"
|
||||
f"[bold magenta]Confidence:[/bold magenta] {decision.confidence * 100:.0f}%\n"
|
||||
f"[bold blue]Estimated Latency:[/bold blue] {decision.estimated_latency_ms:.0f}ms | [bold blue]Estimated Cost:[/bold blue] ${decision.estimated_cost_usd:.6f}",
|
||||
title="ROUTING DECISION",
|
||||
border_style="bright_blue",
|
||||
))
|
||||
|
||||
console.print("[bold cyan]Why this model?[/bold cyan]")
|
||||
for r in decision.reasons:
|
||||
console.print(f" [green]+[/green] {r}")
|
||||
|
||||
if decision.rejected_candidates:
|
||||
console.print("\n[bold red]Rejected Candidates:[/bold red]")
|
||||
for cid, reason in decision.rejected_candidates.items():
|
||||
console.print(f" [dim]- {cid}: {reason}[/dim]")
|
||||
|
||||
asyncio.run(_route())
|
||||
|
||||
|
||||
@app.command()
|
||||
def run(
|
||||
prompt: str = typer.Argument(..., help="Prompt to route and execute"),
|
||||
policy: str = typer.Option("balanced", "--policy", "-p", help="Routing policy to use"),
|
||||
):
|
||||
"""Route request and execute inference through the chosen provider."""
|
||||
async def _run():
|
||||
await init_db()
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
|
||||
async with AsyncSessionLocal() as db:
|
||||
res_m = await db.execute(select(ModelRecord).filter_by(is_active=True))
|
||||
models = [db_model_to_meta(m) for m in res_m.scalars().all()]
|
||||
|
||||
decision = route_request(
|
||||
analysis=analysis,
|
||||
available_models=models,
|
||||
policy_weights={"quality_weight": 0.35, "cost_weight": 0.25, "speed_weight": 0.20, "capability_weight": 0.15, "reliability_weight": 0.05},
|
||||
policy_name=policy,
|
||||
)
|
||||
|
||||
console.print(f"[bold cyan]Routing to:[/bold cyan] {decision.selected_model} via provider: {decision.provider}...")
|
||||
|
||||
resp, fallback_used, orig_m, fb_reason = await execute_with_fallback(
|
||||
prompt=prompt,
|
||||
selected_model_id=decision.selected_model,
|
||||
selected_provider_id=decision.provider,
|
||||
all_models=models,
|
||||
)
|
||||
|
||||
console.print(Panel(
|
||||
resp.content,
|
||||
title=f"RESPONSE from {resp.model} ({'FALLBACK: ' + orig_m if fallback_used else 'PRIMARY'})",
|
||||
subtitle=f"Latency: {resp.provider_latency_ms:.0f}ms | Tokens: {resp.total_tokens}",
|
||||
border_style="green" if not fallback_used else "yellow",
|
||||
))
|
||||
|
||||
asyncio.run(_run())
|
||||
|
||||
|
||||
@app.command()
|
||||
def traffic(limit: int = 10):
|
||||
"""View recent routed traffic log."""
|
||||
async def _traffic():
|
||||
await init_db()
|
||||
from app.storage.models import RequestRecord
|
||||
from sqlalchemy import desc
|
||||
async with AsyncSessionLocal() as db:
|
||||
res = await db.execute(select(RequestRecord).order_by(desc(RequestRecord.timestamp)).limit(limit))
|
||||
records = res.scalars().all()
|
||||
|
||||
table = Table(title="Recent Routed Traffic Feed", border_style="bright_blue")
|
||||
table.add_column("Time", style="dim")
|
||||
table.add_column("Task", style="cyan")
|
||||
table.add_column("Selected Model", style="green")
|
||||
table.add_column("Latency", style="yellow")
|
||||
table.add_column("Cost", style="magenta")
|
||||
table.add_column("Prompt Sample", style="white")
|
||||
|
||||
for r in records:
|
||||
t_str = r.timestamp.strftime("%H:%M:%S") if r.timestamp else "N/A"
|
||||
table.add_row(
|
||||
t_str,
|
||||
r.task_type,
|
||||
r.selected_model,
|
||||
f"{r.total_latency_ms:.0f}ms",
|
||||
f"${r.estimated_cost:.5f}",
|
||||
r.prompt[:40] + ("..." if len(r.prompt) > 40 else ""),
|
||||
)
|
||||
console.print(table)
|
||||
|
||||
asyncio.run(_traffic())
|
||||
|
||||
|
||||
@app.command()
|
||||
def analytics():
|
||||
"""Display system-wide routing performance and cost savings analytics."""
|
||||
async def _analytics():
|
||||
await init_db()
|
||||
from app.analytics.service import get_system_analytics
|
||||
async with AsyncSessionLocal() as db:
|
||||
data = await get_system_analytics(db)
|
||||
console.print(Panel.fit(
|
||||
f"[bold cyan]Total Routed Requests:[/bold cyan] {data['total_requests']}\n"
|
||||
f"[bold green]Average Latency:[/bold green] {data['avg_latency_ms']}ms (Routing overhead: {data['avg_routing_latency_ms']}ms)\n"
|
||||
f"[bold yellow]Total Cost:[/bold yellow] ${data['total_cost_usd']:.6f}\n"
|
||||
f"[bold magenta]Cost Saved vs Baseline:[/bold magenta] ${data['savings']['cost_saved_usd']:.6f} ({data['savings']['savings_percentage']}%)\n"
|
||||
f"[bold blue]Fallback Rate:[/bold blue] {data['fallback_rate_percent']}%\n",
|
||||
title="MODEL ROUTER ANALYTICS OVERVIEW",
|
||||
border_style="bright_blue",
|
||||
))
|
||||
|
||||
asyncio.run(_analytics())
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app()
|
||||
@@ -0,0 +1,43 @@
|
||||
from functools import lru_cache
|
||||
from typing import Optional
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
APP_ENV: str = "development"
|
||||
DEBUG: bool = True
|
||||
PORT: int = 8000
|
||||
HOST: str = "0.0.0.0"
|
||||
|
||||
DATABASE_URL: str = "sqlite+aiosqlite:///./model_router.db"
|
||||
ROUTER_ANALYZER: str = "rules" # "rules" or "llm"
|
||||
DEFAULT_ROUTING_POLICY: str = "balanced"
|
||||
BASELINE_MODEL_ID: str = "mock-power"
|
||||
|
||||
DEFAULT_PROVIDER: str = "mock"
|
||||
OLLAMA_BASE_URL: str = "http://localhost:11434"
|
||||
|
||||
# External Provider Keys (optional)
|
||||
OPENAI_API_KEY: Optional[str] = None
|
||||
ANTHROPIC_API_KEY: Optional[str] = None
|
||||
GEMINI_API_KEY: Optional[str] = None
|
||||
|
||||
# Budgets
|
||||
DAILY_BUDGET: float = 10.00
|
||||
MONTHLY_BUDGET: float = 100.00
|
||||
PER_REQUEST_BUDGET: float = 1.00
|
||||
|
||||
# Execution / Reliability
|
||||
MAX_RETRIES: int = 2
|
||||
PROVIDER_TIMEOUT_SECONDS: float = 30.0
|
||||
|
||||
model_config = SettingsConfigDict(
|
||||
env_file=".env",
|
||||
env_file_encoding="utf-8",
|
||||
extra="ignore",
|
||||
)
|
||||
|
||||
|
||||
@lru_cache()
|
||||
def get_settings() -> Settings:
|
||||
return Settings()
|
||||
@@ -0,0 +1,85 @@
|
||||
import uuid
|
||||
import datetime
|
||||
from typing import Dict, Any, List
|
||||
from sqlalchemy import select, func
|
||||
from sqlalchemy.ext.asyncio import AsyncSession
|
||||
from app.storage.models import ExperimentRecord, ExperimentRunRecord
|
||||
|
||||
|
||||
async def log_experiment_run(
|
||||
session: AsyncSession,
|
||||
experiment_id: str,
|
||||
request_id: str,
|
||||
policy: str,
|
||||
model: str,
|
||||
cost: float,
|
||||
latency_ms: float,
|
||||
):
|
||||
run = ExperimentRunRecord(
|
||||
id=str(uuid.uuid4()),
|
||||
experiment_id=experiment_id,
|
||||
request_id=request_id,
|
||||
assigned_policy=policy,
|
||||
selected_model=model,
|
||||
cost=cost,
|
||||
latency_ms=latency_ms,
|
||||
)
|
||||
session.add(run)
|
||||
|
||||
# Increment sample count
|
||||
res = await session.execute(select(ExperimentRecord).filter_by(id=experiment_id))
|
||||
exp = res.scalar_one_or_none()
|
||||
if exp:
|
||||
exp.sample_count += 1
|
||||
await session.commit()
|
||||
|
||||
|
||||
async def get_experiment_summary(
|
||||
session: AsyncSession,
|
||||
experiment_id: str,
|
||||
) -> Dict[str, Any]:
|
||||
res = await session.execute(select(ExperimentRecord).filter_by(id=experiment_id))
|
||||
exp = res.scalar_one_or_none()
|
||||
if not exp:
|
||||
return {}
|
||||
|
||||
# Calculate metrics for Policy A vs Policy B
|
||||
runs_a = await session.execute(
|
||||
select(
|
||||
func.count(ExperimentRunRecord.id),
|
||||
func.avg(ExperimentRunRecord.cost),
|
||||
func.avg(ExperimentRunRecord.latency_ms),
|
||||
).filter_by(experiment_id=experiment_id, assigned_policy=exp.policy_a)
|
||||
)
|
||||
count_a, cost_a, lat_a = runs_a.one()
|
||||
|
||||
runs_b = await session.execute(
|
||||
select(
|
||||
func.count(ExperimentRunRecord.id),
|
||||
func.avg(ExperimentRunRecord.cost),
|
||||
func.avg(ExperimentRunRecord.latency_ms),
|
||||
).filter_by(experiment_id=experiment_id, assigned_policy=exp.policy_b)
|
||||
)
|
||||
count_b, cost_b, lat_b = runs_b.one()
|
||||
|
||||
return {
|
||||
"id": exp.id,
|
||||
"name": exp.name,
|
||||
"description": exp.description,
|
||||
"policy_a": exp.policy_a,
|
||||
"policy_b": exp.policy_b,
|
||||
"status": exp.status,
|
||||
"total_samples": exp.sample_count,
|
||||
"results": {
|
||||
exp.policy_a: {
|
||||
"sample_count": count_a or 0,
|
||||
"avg_cost_usd": round(cost_a or 0.0, 6),
|
||||
"avg_latency_ms": round(lat_a or 0.0, 1),
|
||||
},
|
||||
exp.policy_b: {
|
||||
"sample_count": count_b or 0,
|
||||
"avg_cost_usd": round(cost_b or 0.0, 6),
|
||||
"avg_latency_ms": round(lat_b or 0.0, 1),
|
||||
},
|
||||
},
|
||||
}
|
||||
@@ -0,0 +1,105 @@
|
||||
import time
|
||||
import asyncio
|
||||
from typing import List, Optional, Tuple, Dict, Any
|
||||
from app.models.schemas import ProviderResponse, ModelMetadata
|
||||
from app.providers.registry import provider_registry
|
||||
from app.config.settings import get_settings
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
RETRYABLE_ERRORS = [
|
||||
"timeout",
|
||||
"connection error",
|
||||
"rate limit",
|
||||
"429",
|
||||
"503",
|
||||
"service unavailable",
|
||||
"econnreset",
|
||||
]
|
||||
|
||||
|
||||
def is_retryable(error_str: Optional[str]) -> bool:
|
||||
if not error_str:
|
||||
return False
|
||||
low = error_str.lower()
|
||||
return any(keyword in low for keyword in RETRYABLE_ERRORS)
|
||||
|
||||
|
||||
async def execute_with_fallback(
|
||||
prompt: str,
|
||||
selected_model_id: str,
|
||||
selected_provider_id: str,
|
||||
all_models: List[ModelMetadata],
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_retries: int = 1,
|
||||
) -> Tuple[ProviderResponse, bool, Optional[str], Optional[str]]:
|
||||
"""
|
||||
Executes model generation with configurable retries and fallback hierarchy.
|
||||
Returns: (ProviderResponse, fallback_used, original_model, fallback_reason)
|
||||
"""
|
||||
current_model_id = selected_model_id
|
||||
current_provider_id = selected_provider_id
|
||||
fallback_used = False
|
||||
original_model = selected_model_id
|
||||
fallback_reason = None
|
||||
|
||||
# Step 1: Attempt primary model with retries
|
||||
provider = provider_registry.get_provider(current_provider_id)
|
||||
if not provider:
|
||||
provider = provider_registry.get_provider("mock")
|
||||
current_provider_id = "mock"
|
||||
current_model_id = "mock-balanced"
|
||||
fallback_used = True
|
||||
fallback_reason = f"Provider '{selected_provider_id}' is not loaded. Fell back to Mock."
|
||||
|
||||
for attempt in range(max_retries + 1):
|
||||
resp = await provider.generate(
|
||||
prompt=prompt,
|
||||
model_id=current_model_id,
|
||||
system_prompt=system_prompt,
|
||||
temperature=temperature,
|
||||
)
|
||||
|
||||
if not resp.error and resp.finish_reason != "error":
|
||||
return resp, fallback_used, original_model if fallback_used else None, fallback_reason
|
||||
|
||||
# If non-retryable error or last attempt, prepare for fallback
|
||||
if not is_retryable(resp.error) or attempt == max_retries:
|
||||
fallback_reason = resp.error or "Unknown primary model execution error."
|
||||
break
|
||||
|
||||
await asyncio.sleep(0.5 * (attempt + 1))
|
||||
|
||||
# Step 2: Determine Fallback Candidate
|
||||
fallback_used = True
|
||||
# Priority: Mock model of same or balanced tier, or active local Ollama
|
||||
candidate_fallbacks = [
|
||||
m for m in all_models
|
||||
if m.id != selected_model_id and m.is_active and (m.provider == "mock" or m.type == "LOCAL")
|
||||
]
|
||||
if not candidate_fallbacks:
|
||||
candidate_fallbacks = [m for m in all_models if m.id != selected_model_id and m.is_active]
|
||||
|
||||
fallback_target = candidate_fallbacks[0] if candidate_fallbacks else None
|
||||
|
||||
if fallback_target:
|
||||
fb_provider = provider_registry.get_provider(fallback_target.provider) or provider_registry.get_provider("mock")
|
||||
fb_resp = await fb_provider.generate(
|
||||
prompt=prompt,
|
||||
model_id=fallback_target.id,
|
||||
system_prompt=system_prompt,
|
||||
temperature=temperature,
|
||||
)
|
||||
if not fb_resp.error:
|
||||
return fb_resp, True, original_model, f"Primary model failed: {fallback_reason} -> Fallback to {fallback_target.id}"
|
||||
|
||||
# Step 3: Emergency Hard Mock fallback
|
||||
emergency_mock = provider_registry.get_provider("mock")
|
||||
emergency_resp = await emergency_mock.generate(
|
||||
prompt=prompt,
|
||||
model_id="mock-balanced",
|
||||
system_prompt=system_prompt,
|
||||
temperature=temperature,
|
||||
)
|
||||
return emergency_resp, True, original_model, f"Emergency fallback triggered due to: {fallback_reason}"
|
||||
@@ -0,0 +1,127 @@
|
||||
from enum import Enum
|
||||
from typing import List, Optional, Dict, Any
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class TaskType(str, Enum):
|
||||
GENERAL_QA = "GENERAL_QA"
|
||||
CODING = "CODING"
|
||||
DEBUGGING = "DEBUGGING"
|
||||
REASONING = "REASONING"
|
||||
SUMMARIZATION = "SUMMARIZATION"
|
||||
EXTRACTION = "EXTRACTION"
|
||||
WRITING = "WRITING"
|
||||
TRANSLATION = "TRANSLATION"
|
||||
ANALYSIS = "ANALYSIS"
|
||||
MATH = "MATH"
|
||||
LONG_CONTEXT = "LONG_CONTEXT"
|
||||
CREATIVE = "CREATIVE"
|
||||
|
||||
|
||||
class PriorityLevel(str, Enum):
|
||||
LOW = "LOW"
|
||||
MEDIUM = "MEDIUM"
|
||||
HIGH = "HIGH"
|
||||
|
||||
|
||||
class ModelTier(str, Enum):
|
||||
FAST = "FAST"
|
||||
BALANCED = "BALANCED"
|
||||
POWER = "POWER"
|
||||
|
||||
|
||||
class ProviderType(str, Enum):
|
||||
MOCK = "mock"
|
||||
OLLAMA = "ollama"
|
||||
OPENAI = "openai"
|
||||
ANTHROPIC = "anthropic"
|
||||
GEMINI = "gemini"
|
||||
CUSTOM = "custom"
|
||||
|
||||
|
||||
class RequestAnalysis(BaseModel):
|
||||
task_type: TaskType = Field(default=TaskType.GENERAL_QA)
|
||||
complexity: float = Field(default=0.5, ge=0.0, le=1.0)
|
||||
complexity_label: PriorityLevel = Field(default=PriorityLevel.MEDIUM)
|
||||
reasoning_required: bool = Field(default=False)
|
||||
coding_required: bool = Field(default=False)
|
||||
vision_required: bool = Field(default=False)
|
||||
tools_required: bool = Field(default=False)
|
||||
context_size: int = Field(default=0) # in estimated tokens / characters
|
||||
latency_priority: PriorityLevel = Field(default=PriorityLevel.MEDIUM)
|
||||
cost_sensitivity: PriorityLevel = Field(default=PriorityLevel.MEDIUM)
|
||||
quality_requirement: PriorityLevel = Field(default=PriorityLevel.MEDIUM)
|
||||
keywords_detected: List[str] = Field(default_factory=list)
|
||||
analyzer_used: str = Field(default="rules")
|
||||
|
||||
|
||||
class ModelMetadata(BaseModel):
|
||||
id: str
|
||||
name: str
|
||||
provider: str
|
||||
type: str = "LOCAL" # LOCAL, CLOUD, MOCK
|
||||
tier: ModelTier = ModelTier.BALANCED
|
||||
context_window: int = 8192
|
||||
|
||||
supports_coding: bool = False
|
||||
supports_reasoning: bool = False
|
||||
supports_vision: bool = False
|
||||
supports_tools: bool = False
|
||||
|
||||
quality_score: float = 0.75 # 0.0 - 1.0
|
||||
speed_score: float = 0.75 # 0.0 - 1.0
|
||||
reliability_score: float = 0.95
|
||||
|
||||
cost_per_input_token: float = 0.0
|
||||
cost_per_output_token: float = 0.0
|
||||
availability: str = "AVAILABLE"
|
||||
is_active: bool = True
|
||||
|
||||
|
||||
class CandidateScore(BaseModel):
|
||||
model_id: str
|
||||
model_name: str
|
||||
provider: str
|
||||
tier: str
|
||||
overall_score: float # 0 - 100
|
||||
quality_component: float
|
||||
cost_component: float
|
||||
speed_component: float
|
||||
capability_component: float
|
||||
reliability_component: float
|
||||
estimated_latency_ms: float
|
||||
estimated_cost_usd: float
|
||||
eligible: bool = True
|
||||
rejection_reason: Optional[str] = None
|
||||
|
||||
|
||||
class RoutingDecision(BaseModel):
|
||||
decision_id: str
|
||||
request_id: str
|
||||
selected_model: str
|
||||
selected_model_name: str
|
||||
provider: str
|
||||
tier: str
|
||||
confidence: float
|
||||
policy_used: str
|
||||
reasons: List[str]
|
||||
candidate_scores: List[CandidateScore]
|
||||
rejected_candidates: Dict[str, str] = Field(default_factory=dict)
|
||||
estimated_cost_usd: float
|
||||
estimated_latency_ms: float
|
||||
rule_applied: Optional[str] = None
|
||||
timestamp: str
|
||||
|
||||
|
||||
class ProviderResponse(BaseModel):
|
||||
content: str
|
||||
finish_reason: str = "stop"
|
||||
input_tokens: int = 0
|
||||
output_tokens: int = 0
|
||||
total_tokens: int = 0
|
||||
provider_latency_ms: float = 0.0
|
||||
time_to_first_token_ms: Optional[float] = None
|
||||
is_mock: bool = False
|
||||
model: str = ""
|
||||
provider: str = ""
|
||||
error: Optional[str] = None
|
||||
@@ -0,0 +1,43 @@
|
||||
import json
|
||||
import logging
|
||||
from typing import Dict, Any, Optional
|
||||
import datetime
|
||||
|
||||
logger = logging.getLogger("model_router.observability")
|
||||
logger.setLevel(logging.INFO)
|
||||
if not logger.handlers:
|
||||
handler = logging.StreamHandler()
|
||||
formatter = logging.Formatter('{"time":"%(asctime)s", "level":"%(levelname)s", "event":%(message)s}')
|
||||
handler.setFormatter(formatter)
|
||||
logger.addHandler(handler)
|
||||
|
||||
|
||||
def log_router_event(
|
||||
event_name: str,
|
||||
request_id: str,
|
||||
model: Optional[str] = None,
|
||||
provider: Optional[str] = None,
|
||||
duration_ms: Optional[float] = None,
|
||||
metadata: Optional[Dict[str, Any]] = None,
|
||||
):
|
||||
"""
|
||||
Structured event logger for model router pipeline.
|
||||
Redacts sensitive credentials automatically.
|
||||
"""
|
||||
payload = {
|
||||
"event": event_name,
|
||||
"request_id": request_id,
|
||||
"timestamp": datetime.datetime.utcnow().isoformat(),
|
||||
"model": model,
|
||||
"provider": provider,
|
||||
"duration_ms": duration_ms,
|
||||
}
|
||||
if metadata:
|
||||
# Sanitize any key that looks like an API token
|
||||
safe_meta = {
|
||||
k: ("[REDACTED]" if "key" in k.lower() or "secret" in k.lower() or "token" in k.lower() and "count" not in k.lower() else v)
|
||||
for k, v in metadata.items()
|
||||
}
|
||||
payload["metadata"] = safe_meta
|
||||
|
||||
logger.info(json.dumps(payload))
|
||||
@@ -0,0 +1,46 @@
|
||||
import abc
|
||||
import time
|
||||
import asyncio
|
||||
from typing import AsyncGenerator, Dict, Any, Optional
|
||||
from app.models.schemas import ProviderResponse
|
||||
|
||||
|
||||
class ModelProvider(abc.ABC):
|
||||
"""
|
||||
Abstract Base Class for all Model Providers (Mock, Ollama, OpenAI, Anthropic, Gemini, etc.)
|
||||
Ensures complete provider decoupling from routing logic.
|
||||
"""
|
||||
|
||||
def __init__(self, provider_id: str, name: str, base_url: Optional[str] = None):
|
||||
self.provider_id = provider_id
|
||||
self.name = name
|
||||
self.base_url = base_url
|
||||
|
||||
@abc.abstractmethod
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
"""Execute a text generation call against the model provider."""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
"""Stream generated response chunks."""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
"""Check provider connectivity, status, and loaded models."""
|
||||
pass
|
||||
@@ -0,0 +1,321 @@
|
||||
import time
|
||||
import httpx
|
||||
from typing import AsyncGenerator, Dict, Any, Optional
|
||||
from app.providers.base import ModelProvider
|
||||
from app.models.schemas import ProviderResponse
|
||||
from app.config.settings import get_settings
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
class OpenAIProvider(ModelProvider):
|
||||
"""
|
||||
OpenAI Provider Adapter.
|
||||
Uses OPENAI_API_KEY from environment variables. Secrets are never exposed.
|
||||
"""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
super().__init__(provider_id="openai", name="OpenAI", base_url="https://api.openai.com/v1")
|
||||
self.api_key = api_key or settings.OPENAI_API_KEY
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
if not self.api_key:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error="OPENAI_API_KEY not configured in environment.",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="openai",
|
||||
)
|
||||
|
||||
endpoint = f"{self.base_url}/chat/completions"
|
||||
headers = {
|
||||
"Authorization": f"Bearer {self.api_key}",
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
messages = []
|
||||
if system_prompt:
|
||||
messages.append({"role": "system", "content": system_prompt})
|
||||
messages.append({"role": "user", "content": prompt})
|
||||
|
||||
payload: Dict[str, Any] = {
|
||||
"model": model_id,
|
||||
"messages": messages,
|
||||
"temperature": temperature,
|
||||
}
|
||||
if max_tokens:
|
||||
payload["max_tokens"] = max_tokens
|
||||
|
||||
start_time = time.perf_counter()
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
resp = await client.post(endpoint, json=payload, headers=headers)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
elapsed_ms = (time.perf_counter() - start_time) * 1000.0
|
||||
choice = data["choices"][0]
|
||||
usage = data.get("usage", {})
|
||||
|
||||
return ProviderResponse(
|
||||
content=choice["message"]["content"],
|
||||
finish_reason=choice.get("finish_reason", "stop"),
|
||||
input_tokens=usage.get("prompt_tokens", 0),
|
||||
output_tokens=usage.get("completion_tokens", 0),
|
||||
total_tokens=usage.get("total_tokens", 0),
|
||||
provider_latency_ms=round(elapsed_ms, 2),
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="openai",
|
||||
)
|
||||
except Exception as exc:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error=f"OpenAI error: {str(exc)}",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="openai",
|
||||
provider_latency_ms=(time.perf_counter() - start_time) * 1000.0,
|
||||
)
|
||||
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
if not self.api_key:
|
||||
yield "[OpenAI Error: API key not configured]"
|
||||
return
|
||||
|
||||
endpoint = f"{self.base_url}/chat/completions"
|
||||
headers = {"Authorization": f"Bearer {self.api_key}"}
|
||||
messages = []
|
||||
if system_prompt:
|
||||
messages.append({"role": "system", "content": system_prompt})
|
||||
messages.append({"role": "user", "content": prompt})
|
||||
|
||||
payload = {
|
||||
"model": model_id,
|
||||
"messages": messages,
|
||||
"temperature": temperature,
|
||||
"stream": True,
|
||||
}
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
async with client.stream("POST", endpoint, json=payload, headers=headers) as resp:
|
||||
async for line in resp.aiter_lines():
|
||||
if line.startswith("data: ") and not line.endswith("[DONE]"):
|
||||
import json
|
||||
data = json.loads(line[6:])
|
||||
delta = data["choices"][0].get("delta", {}).get("content", "")
|
||||
if delta:
|
||||
yield delta
|
||||
except Exception as exc:
|
||||
yield f"\n[OpenAI Streaming Error: {str(exc)}]"
|
||||
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
if not self.api_key:
|
||||
return {"provider": "openai", "status": "NOT_CONFIGURED", "message": "API key not set in .env"}
|
||||
return {"provider": "openai", "status": "CONNECTED", "message": "API key configured."}
|
||||
|
||||
|
||||
class AnthropicProvider(ModelProvider):
|
||||
"""
|
||||
Anthropic Provider Adapter.
|
||||
"""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
super().__init__(provider_id="anthropic", name="Anthropic", base_url="https://api.anthropic.com/v1")
|
||||
self.api_key = api_key or settings.ANTHROPIC_API_KEY
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
if not self.api_key:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error="ANTHROPIC_API_KEY not configured in environment.",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="anthropic",
|
||||
)
|
||||
|
||||
endpoint = f"{self.base_url}/messages"
|
||||
headers = {
|
||||
"x-api-key": self.api_key,
|
||||
"anthropic-version": "2023-06-01",
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
payload: Dict[str, Any] = {
|
||||
"model": model_id,
|
||||
"messages": [{"role": "user", "content": prompt}],
|
||||
"max_tokens": max_tokens or 2048,
|
||||
"temperature": temperature,
|
||||
}
|
||||
if system_prompt:
|
||||
payload["system"] = system_prompt
|
||||
|
||||
start_time = time.perf_counter()
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
resp = await client.post(endpoint, json=payload, headers=headers)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
elapsed_ms = (time.perf_counter() - start_time) * 1000.0
|
||||
content = data["content"][0]["text"]
|
||||
usage = data.get("usage", {})
|
||||
|
||||
return ProviderResponse(
|
||||
content=content,
|
||||
finish_reason=data.get("stop_reason", "stop"),
|
||||
input_tokens=usage.get("input_tokens", 0),
|
||||
output_tokens=usage.get("output_tokens", 0),
|
||||
total_tokens=usage.get("input_tokens", 0) + usage.get("output_tokens", 0),
|
||||
provider_latency_ms=round(elapsed_ms, 2),
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="anthropic",
|
||||
)
|
||||
except Exception as exc:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error=f"Anthropic error: {str(exc)}",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="anthropic",
|
||||
provider_latency_ms=(time.perf_counter() - start_time) * 1000.0,
|
||||
)
|
||||
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
resp = await self.generate(prompt, model_id, system_prompt, temperature, max_tokens)
|
||||
if resp.error:
|
||||
yield f"[{resp.error}]"
|
||||
return
|
||||
for word in resp.content.split(" "):
|
||||
yield word + " "
|
||||
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
if not self.api_key:
|
||||
return {"provider": "anthropic", "status": "NOT_CONFIGURED", "message": "API key not set in .env"}
|
||||
return {"provider": "anthropic", "status": "CONNECTED", "message": "API key configured."}
|
||||
|
||||
|
||||
class GeminiProvider(ModelProvider):
|
||||
"""
|
||||
Google Gemini Provider Adapter.
|
||||
"""
|
||||
|
||||
def __init__(self, api_key: Optional[str] = None):
|
||||
super().__init__(provider_id="gemini", name="Google Gemini", base_url="https://generativelanguage.googleapis.com/v1beta")
|
||||
self.api_key = api_key or settings.GEMINI_API_KEY
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
if not self.api_key:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error="GEMINI_API_KEY not configured in environment.",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="gemini",
|
||||
)
|
||||
|
||||
endpoint = f"{self.base_url}/models/{model_id}:generateContent?key={self.api_key}"
|
||||
contents = []
|
||||
if system_prompt:
|
||||
contents.append({"role": "user", "parts": [{"text": f"System context: {system_prompt}"}]})
|
||||
contents.append({"role": "user", "parts": [{"text": prompt}]})
|
||||
|
||||
payload = {
|
||||
"contents": contents,
|
||||
"generationConfig": {"temperature": temperature},
|
||||
}
|
||||
|
||||
start_time = time.perf_counter()
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
resp = await client.post(endpoint, json=payload)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
elapsed_ms = (time.perf_counter() - start_time) * 1000.0
|
||||
candidate = data["candidates"][0]
|
||||
text = candidate["content"]["parts"][0]["text"]
|
||||
usage = data.get("usageMetadata", {})
|
||||
|
||||
return ProviderResponse(
|
||||
content=text,
|
||||
finish_reason=candidate.get("finishReason", "stop"),
|
||||
input_tokens=usage.get("promptTokenCount", 0),
|
||||
output_tokens=usage.get("candidatesTokenCount", 0),
|
||||
total_tokens=usage.get("totalTokenCount", 0),
|
||||
provider_latency_ms=round(elapsed_ms, 2),
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="gemini",
|
||||
)
|
||||
except Exception as exc:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error=f"Gemini error: {str(exc)}",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="gemini",
|
||||
provider_latency_ms=(time.perf_counter() - start_time) * 1000.0,
|
||||
)
|
||||
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
resp = await self.generate(prompt, model_id, system_prompt, temperature, max_tokens)
|
||||
if resp.error:
|
||||
yield f"[{resp.error}]"
|
||||
return
|
||||
for word in resp.content.split(" "):
|
||||
yield word + " "
|
||||
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
if not self.api_key:
|
||||
return {"provider": "gemini", "status": "NOT_CONFIGURED", "message": "API key not set in .env"}
|
||||
return {"provider": "gemini", "status": "CONNECTED", "message": "API key configured."}
|
||||
@@ -0,0 +1,108 @@
|
||||
import asyncio
|
||||
import time
|
||||
from typing import AsyncGenerator, Dict, Any, Optional
|
||||
from app.providers.base import ModelProvider
|
||||
from app.models.schemas import ProviderResponse
|
||||
|
||||
|
||||
class MockProvider(ModelProvider):
|
||||
"""
|
||||
Mock Provider for development, testing, and zero-cost simulation.
|
||||
All outputs are explicitly labeled as DEMO/MOCK.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(provider_id="mock", name="Mock / Demo Provider")
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
start_time = time.perf_counter()
|
||||
|
||||
# Simulate realistic latency based on tier
|
||||
tier_delay = 0.08 if "fast" in model_id else (0.18 if "balanced" in model_id else 0.35)
|
||||
await asyncio.sleep(tier_delay)
|
||||
|
||||
elapsed_ms = (time.perf_counter() - start_time) * 1000.0
|
||||
|
||||
# Calculate realistic token estimations
|
||||
input_tokens = max(1, len(prompt.split()) * 2)
|
||||
|
||||
# Response tailored to task keywords
|
||||
prompt_lower = prompt.lower()
|
||||
if "python" in prompt_lower or "code" in prompt_lower or "def " in prompt_lower or "function" in prompt_lower:
|
||||
content = (
|
||||
f"[DEMO/MOCK RESPONSE from {model_id}]\n\n"
|
||||
f"```python\n"
|
||||
f"# Mock implementation generated for: {prompt[:60]}...\n"
|
||||
f"def solve_problem(*args, **kwargs):\n"
|
||||
f" \"\"\"Simulated response from Model Router Demo Engine.\"\"\"\n"
|
||||
f" result = [x for x in args if x is not None]\n"
|
||||
f" return {{'status': 'success', 'data': result, 'model': '{model_id}'}}\n"
|
||||
f"```\n\n"
|
||||
f"This code was returned by the simulated {model_id} engine."
|
||||
)
|
||||
elif "debug" in prompt_lower or "error" in prompt_lower or "bug" in prompt_lower:
|
||||
content = (
|
||||
f"[DEMO/MOCK RESPONSE from {model_id}]\n\n"
|
||||
f"### Root Cause Analysis:\n"
|
||||
f"1. **Potential Bottleneck**: Asynchronous task scheduling without proper semaphore limits.\n"
|
||||
f"2. **Mitigation**: Introduce bounded concurrency worker pools.\n"
|
||||
f"3. **Verification**: Checked against {model_id} simulated reasoning engine."
|
||||
)
|
||||
elif "summary" in prompt_lower or "summarize" in prompt_lower:
|
||||
content = (
|
||||
f"[DEMO/MOCK RESPONSE from {model_id}]\n\n"
|
||||
f"**Executive Summary**:\n"
|
||||
f"• Main point: {prompt[:80]}...\n"
|
||||
f"• Key takeaway: High routing accuracy achieved with minimal latency overhead."
|
||||
)
|
||||
else:
|
||||
content = (
|
||||
f"[DEMO/MOCK RESPONSE from {model_id}]\n\n"
|
||||
f"Processed request: \"{prompt[:100]}\"\n\n"
|
||||
f"This is a simulated response generated locally by Model Router Mock Engine without external API calls."
|
||||
)
|
||||
|
||||
output_tokens = max(1, len(content.split()) * 2)
|
||||
total_tokens = input_tokens + output_tokens
|
||||
|
||||
return ProviderResponse(
|
||||
content=content,
|
||||
finish_reason="stop",
|
||||
input_tokens=input_tokens,
|
||||
output_tokens=output_tokens,
|
||||
total_tokens=total_tokens,
|
||||
provider_latency_ms=round(elapsed_ms, 2),
|
||||
time_to_first_token_ms=round(tier_delay * 500, 2),
|
||||
is_mock=True,
|
||||
model=model_id,
|
||||
provider="mock",
|
||||
)
|
||||
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
resp = await self.generate(prompt, model_id, system_prompt, temperature, max_tokens)
|
||||
chunks = resp.content.split(" ")
|
||||
for chunk in chunks:
|
||||
await asyncio.sleep(0.02)
|
||||
yield chunk + " "
|
||||
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
return {
|
||||
"provider": "mock",
|
||||
"status": "CONNECTED",
|
||||
"message": "Mock provider active (Demo Mode). Zero API keys required.",
|
||||
"models_available": ["mock-fast", "mock-balanced", "mock-power"],
|
||||
}
|
||||
@@ -0,0 +1,141 @@
|
||||
import time
|
||||
import httpx
|
||||
from typing import AsyncGenerator, Dict, Any, Optional
|
||||
from app.providers.base import ModelProvider
|
||||
from app.models.schemas import ProviderResponse
|
||||
from app.config.settings import get_settings
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
class OllamaProvider(ModelProvider):
|
||||
"""
|
||||
Local Ollama Provider adapter.
|
||||
Executes real inference against locally running Ollama instance without external API keys.
|
||||
"""
|
||||
|
||||
def __init__(self, base_url: Optional[str] = None):
|
||||
url = base_url or settings.OLLAMA_BASE_URL
|
||||
super().__init__(provider_id="ollama", name="Ollama (Local)", base_url=url)
|
||||
|
||||
def _strip_model_prefix(self, model_id: str) -> str:
|
||||
# e.g. "ollama-qwen2.5-coder" -> "qwen2.5-coder"
|
||||
if model_id.startswith("ollama-"):
|
||||
return model_id[len("ollama-"):]
|
||||
return model_id
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> ProviderResponse:
|
||||
real_model = self._strip_model_prefix(model_id)
|
||||
endpoint = f"{self.base_url.rstrip('/')}/api/generate"
|
||||
|
||||
payload: Dict[str, Any] = {
|
||||
"model": real_model,
|
||||
"prompt": prompt,
|
||||
"stream": False,
|
||||
"options": {
|
||||
"temperature": temperature,
|
||||
}
|
||||
}
|
||||
if system_prompt:
|
||||
payload["system"] = system_prompt
|
||||
if max_tokens:
|
||||
payload["options"]["num_predict"] = max_tokens
|
||||
|
||||
start_time = time.perf_counter()
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
resp = await client.post(endpoint, json=payload)
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
elapsed_ms = (time.perf_counter() - start_time) * 1000.0
|
||||
|
||||
content = data.get("response", "")
|
||||
input_tokens = data.get("prompt_eval_count", max(1, len(prompt.split()) * 2))
|
||||
output_tokens = data.get("eval_count", max(1, len(content.split()) * 2))
|
||||
|
||||
# Nanoseconds to ms if provided by ollama
|
||||
eval_duration_ms = data.get("eval_duration", 0) / 1_000_000.0 if "eval_duration" in data else elapsed_ms
|
||||
|
||||
return ProviderResponse(
|
||||
content=content,
|
||||
finish_reason="stop" if data.get("done") else "length",
|
||||
input_tokens=input_tokens,
|
||||
output_tokens=output_tokens,
|
||||
total_tokens=input_tokens + output_tokens,
|
||||
provider_latency_ms=round(elapsed_ms, 2),
|
||||
time_to_first_token_ms=round(data.get("prompt_eval_duration", 0) / 1_000_000.0, 2) or None,
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="ollama",
|
||||
)
|
||||
except Exception as exc:
|
||||
return ProviderResponse(
|
||||
content="",
|
||||
finish_reason="error",
|
||||
error=f"Ollama connection error ({str(exc)}). Is Ollama running on {self.base_url}?",
|
||||
is_mock=False,
|
||||
model=model_id,
|
||||
provider="ollama",
|
||||
provider_latency_ms=(time.perf_counter() - start_time) * 1000.0,
|
||||
)
|
||||
|
||||
async def stream(
|
||||
self,
|
||||
prompt: str,
|
||||
model_id: str,
|
||||
system_prompt: Optional[str] = None,
|
||||
temperature: float = 0.7,
|
||||
max_tokens: Optional[int] = None,
|
||||
) -> AsyncGenerator[str, None]:
|
||||
real_model = self._strip_model_prefix(model_id)
|
||||
endpoint = f"{self.base_url.rstrip('/')}/api/generate"
|
||||
payload = {
|
||||
"model": real_model,
|
||||
"prompt": prompt,
|
||||
"stream": True,
|
||||
"options": {"temperature": temperature},
|
||||
}
|
||||
if system_prompt:
|
||||
payload["system"] = system_prompt
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.PROVIDER_TIMEOUT_SECONDS) as client:
|
||||
async with client.stream("POST", endpoint, json=payload) as resp:
|
||||
async for line in resp.aiter_lines():
|
||||
if line:
|
||||
import json
|
||||
data = json.loads(line)
|
||||
chunk = data.get("response", "")
|
||||
if chunk:
|
||||
yield chunk
|
||||
except Exception as exc:
|
||||
yield f"\n[Ollama Streaming Error: {str(exc)}]"
|
||||
|
||||
async def check_health(self) -> Dict[str, Any]:
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=3.0) as client:
|
||||
resp = await client.get(f"{self.base_url.rstrip('/')}/api/tags")
|
||||
if resp.status_code == 200:
|
||||
models = [m.get("name") for m in resp.json().get("models", [])]
|
||||
return {
|
||||
"provider": "ollama",
|
||||
"status": "CONNECTED",
|
||||
"base_url": self.base_url,
|
||||
"models_available": models,
|
||||
}
|
||||
except Exception as exc:
|
||||
pass
|
||||
return {
|
||||
"provider": "ollama",
|
||||
"status": "NOT_CONNECTED",
|
||||
"base_url": self.base_url,
|
||||
"message": "Ollama service unreachable on configured port. Start via 'ollama serve'.",
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
from typing import Dict, Optional
|
||||
from app.providers.base import ModelProvider
|
||||
from app.providers.mock_provider import MockProvider
|
||||
from app.providers.ollama_provider import OllamaProvider
|
||||
from app.providers.external_providers import OpenAIProvider, AnthropicProvider, GeminiProvider
|
||||
from app.config.settings import get_settings
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
class ProviderRegistry:
|
||||
"""
|
||||
Central registry managing provider instances.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self._providers: Dict[str, ModelProvider] = {
|
||||
"mock": MockProvider(),
|
||||
"ollama": OllamaProvider(base_url=settings.OLLAMA_BASE_URL),
|
||||
"openai": OpenAIProvider(api_key=settings.OPENAI_API_KEY),
|
||||
"anthropic": AnthropicProvider(api_key=settings.ANTHROPIC_API_KEY),
|
||||
"gemini": GeminiProvider(api_key=settings.GEMINI_API_KEY),
|
||||
}
|
||||
|
||||
def get_provider(self, provider_id: str) -> Optional[ModelProvider]:
|
||||
return self._providers.get(provider_id.lower())
|
||||
|
||||
def register_provider(self, provider_id: str, provider: ModelProvider):
|
||||
self._providers[provider_id.lower()] = provider
|
||||
|
||||
def list_providers(self) -> Dict[str, ModelProvider]:
|
||||
return self._providers
|
||||
|
||||
|
||||
provider_registry = ProviderRegistry()
|
||||
@@ -0,0 +1,150 @@
|
||||
import uuid
|
||||
import datetime
|
||||
from typing import List, Dict, Any, Optional
|
||||
from app.models.schemas import (
|
||||
ModelMetadata,
|
||||
RequestAnalysis,
|
||||
RoutingDecision,
|
||||
CandidateScore,
|
||||
PriorityLevel,
|
||||
)
|
||||
from app.router.scoring import filter_candidate_models, compute_candidate_score
|
||||
from app.router.rules_engine import evaluate_routing_rules
|
||||
from app.storage.models import RoutingRuleRecord
|
||||
|
||||
|
||||
def generate_routing_explanation(
|
||||
selected_model: ModelMetadata,
|
||||
analysis: RequestAnalysis,
|
||||
policy_name: str,
|
||||
rule_name: Optional[str] = None,
|
||||
) -> List[str]:
|
||||
reasons = []
|
||||
|
||||
if rule_name:
|
||||
reasons.append(f"Matching rule applied: \"{rule_name}\"")
|
||||
|
||||
# Task explanation
|
||||
reasons.append(f"Task classified as {analysis.task_type.value} with {analysis.complexity_label.value} complexity ({analysis.complexity:.2f})")
|
||||
|
||||
# Reasoning / Code requirements
|
||||
if analysis.reasoning_required:
|
||||
reasons.append("Multi-step reasoning & deep inference required for problem domain")
|
||||
if analysis.coding_required:
|
||||
reasons.append("Syntactical & algorithmic coding capabilities required")
|
||||
|
||||
# Model specific match
|
||||
if selected_model.tier.value == "POWER":
|
||||
reasons.append(f"High reasoning score ({selected_model.quality_score * 100:.0f}%) and deep context ({selected_model.context_window:,} tokens)")
|
||||
elif selected_model.tier.value == "FAST":
|
||||
reasons.append(f"Low latency priority and high speed score ({selected_model.speed_score * 100:.0f}%)")
|
||||
else:
|
||||
reasons.append("Balanced quality and cost profile selected for optimal efficiency")
|
||||
|
||||
# Cost / local factor
|
||||
if selected_model.cost_per_input_token == 0.0:
|
||||
reasons.append("Local zero-cost execution prioritized")
|
||||
elif analysis.cost_sensitivity == PriorityLevel.HIGH:
|
||||
reasons.append("Cost sensitivity is HIGH — model offers lowest token pricing")
|
||||
|
||||
# Policy
|
||||
reasons.append(f"Evaluated under '{policy_name}' policy weights")
|
||||
|
||||
return reasons
|
||||
|
||||
|
||||
def route_request(
|
||||
analysis: RequestAnalysis,
|
||||
available_models: List[ModelMetadata],
|
||||
policy_weights: Dict[str, float],
|
||||
policy_name: str = "balanced",
|
||||
rules: Optional[List[RoutingRuleRecord]] = None,
|
||||
budget_percent: float = 0.0,
|
||||
request_id: Optional[str] = None,
|
||||
) -> RoutingDecision:
|
||||
req_id = request_id or str(uuid.uuid4())
|
||||
decision_id = f"dec_{uuid.uuid4().hex[:12]}"
|
||||
now_iso = datetime.datetime.utcnow().isoformat()
|
||||
|
||||
# 1. Rule evaluation
|
||||
rule_action, rule_target, rule_name = None, None, None
|
||||
if rules:
|
||||
rule_action, rule_target, rule_name = evaluate_routing_rules(rules, analysis, budget_percent)
|
||||
|
||||
# 2. Hard filter candidates
|
||||
eligible_models, rejected_dict = filter_candidate_models(available_models, analysis)
|
||||
|
||||
if not eligible_models:
|
||||
# Fallback to any active model if everything was filtered
|
||||
eligible_models = [m for m in available_models if m.is_active] or available_models
|
||||
|
||||
# Handle Rule Action: ROUTE_TO specific model
|
||||
if rule_action == "ROUTE_TO" and rule_target:
|
||||
exact_match = next((m for m in eligible_models if m.id == rule_target), None)
|
||||
if exact_match:
|
||||
scores = [compute_candidate_score(m, analysis, policy_weights) for m in eligible_models]
|
||||
score_map = {s.model_id: s for s in scores}
|
||||
selected_score = score_map.get(exact_match.id) or compute_candidate_score(exact_match, analysis, policy_weights)
|
||||
|
||||
reasons = generate_routing_explanation(exact_match, analysis, policy_name, rule_name)
|
||||
return RoutingDecision(
|
||||
decision_id=decision_id,
|
||||
request_id=req_id,
|
||||
selected_model=exact_match.id,
|
||||
selected_model_name=exact_match.name,
|
||||
provider=exact_match.provider,
|
||||
tier=exact_match.tier.value if hasattr(exact_match.tier, "value") else str(exact_match.tier),
|
||||
confidence=0.98,
|
||||
policy_used=policy_name,
|
||||
reasons=reasons,
|
||||
candidate_scores=scores,
|
||||
rejected_candidates=rejected_dict,
|
||||
estimated_cost_usd=selected_score.estimated_cost_usd,
|
||||
estimated_latency_ms=selected_score.estimated_latency_ms,
|
||||
rule_applied=rule_name,
|
||||
timestamp=now_iso,
|
||||
)
|
||||
|
||||
# Handle Rule Action: FORCE_TIER
|
||||
if rule_action == "FORCE_TIER" and rule_target:
|
||||
tier_filtered = [m for m in eligible_models if m.tier.value.upper() == rule_target.upper()]
|
||||
if tier_filtered:
|
||||
eligible_models = tier_filtered
|
||||
|
||||
# 3. Score all eligible models
|
||||
candidate_scores: List[CandidateScore] = []
|
||||
for model in eligible_models:
|
||||
sc = compute_candidate_score(model, analysis, policy_weights)
|
||||
candidate_scores.append(sc)
|
||||
|
||||
# Sort descending by overall_score
|
||||
candidate_scores.sort(key=lambda s: s.overall_score, reverse=True)
|
||||
best_candidate = candidate_scores[0]
|
||||
selected_model = next(m for m in eligible_models if m.id == best_candidate.model_id)
|
||||
|
||||
# Confidence calculation: score difference from second candidate
|
||||
if len(candidate_scores) > 1:
|
||||
gap = best_candidate.overall_score - candidate_scores[1].overall_score
|
||||
confidence = min(0.99, max(0.70, round(0.80 + (gap / 100.0), 2)))
|
||||
else:
|
||||
confidence = 0.95
|
||||
|
||||
reasons = generate_routing_explanation(selected_model, analysis, policy_name, rule_name)
|
||||
|
||||
return RoutingDecision(
|
||||
decision_id=decision_id,
|
||||
request_id=req_id,
|
||||
selected_model=selected_model.id,
|
||||
selected_model_name=selected_model.name,
|
||||
provider=selected_model.provider,
|
||||
tier=selected_model.tier.value if hasattr(selected_model.tier, "value") else str(selected_model.tier),
|
||||
confidence=confidence,
|
||||
policy_used=policy_name,
|
||||
reasons=reasons,
|
||||
candidate_scores=candidate_scores,
|
||||
rejected_candidates=rejected_dict,
|
||||
estimated_cost_usd=best_candidate.estimated_cost_usd,
|
||||
estimated_latency_ms=best_candidate.estimated_latency_ms,
|
||||
rule_applied=rule_name,
|
||||
timestamp=now_iso,
|
||||
)
|
||||
@@ -0,0 +1,73 @@
|
||||
from typing import List, Optional, Tuple
|
||||
from app.storage.models import RoutingRuleRecord
|
||||
from app.models.schemas import RequestAnalysis
|
||||
|
||||
|
||||
def evaluate_routing_rules(
|
||||
rules: List[RoutingRuleRecord],
|
||||
analysis: RequestAnalysis,
|
||||
current_budget_percent: float = 0.0,
|
||||
) -> Tuple[Optional[str], Optional[str], Optional[str]]:
|
||||
"""
|
||||
Evaluates enabled routing rules in order of priority (highest priority number first).
|
||||
Returns: (action_type, action_target, matched_rule_name) or (None, None, None)
|
||||
"""
|
||||
sorted_rules = sorted([r for r in rules if r.is_enabled], key=lambda x: x.priority, reverse=True)
|
||||
|
||||
for rule in sorted_rules:
|
||||
field = rule.condition_field.lower()
|
||||
op = rule.condition_operator
|
||||
target_val = rule.condition_value
|
||||
|
||||
matched = False
|
||||
|
||||
if field == "task_type":
|
||||
val = analysis.task_type.value
|
||||
if op == "==":
|
||||
matched = (val == target_val)
|
||||
elif op == "!=":
|
||||
matched = (val != target_val)
|
||||
elif op == "contains":
|
||||
matched = (target_val in val)
|
||||
|
||||
elif field == "complexity":
|
||||
val = analysis.complexity
|
||||
try:
|
||||
target_num = float(target_val)
|
||||
if op == ">=":
|
||||
matched = (val >= target_num)
|
||||
elif op == ">":
|
||||
matched = (val > target_num)
|
||||
elif op == "<=":
|
||||
matched = (val <= target_num)
|
||||
elif op == "<":
|
||||
matched = (val < target_num)
|
||||
elif op == "==":
|
||||
matched = (abs(val - target_num) < 0.01)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
elif field in ("budget_percent", "monthly_budget_percent"):
|
||||
try:
|
||||
target_num = float(target_val)
|
||||
if op == ">=":
|
||||
matched = (current_budget_percent >= target_num)
|
||||
elif op == ">":
|
||||
matched = (current_budget_percent > target_num)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
elif field == "context_size":
|
||||
try:
|
||||
target_num = int(target_val)
|
||||
if op == ">=":
|
||||
matched = (analysis.context_size >= target_num)
|
||||
elif op == ">":
|
||||
matched = (analysis.context_size > target_num)
|
||||
except ValueError:
|
||||
pass
|
||||
|
||||
if matched:
|
||||
return rule.action_type, rule.action_target, rule.name
|
||||
|
||||
return None, None, None
|
||||
@@ -0,0 +1,154 @@
|
||||
from typing import List, Dict, Tuple, Optional
|
||||
from app.models.schemas import ModelMetadata, RequestAnalysis, CandidateScore, PriorityLevel
|
||||
|
||||
|
||||
def filter_candidate_models(
|
||||
models: List[ModelMetadata],
|
||||
analysis: RequestAnalysis,
|
||||
) -> Tuple[List[ModelMetadata], Dict[str, str]]:
|
||||
"""
|
||||
Hard-filtering step: eliminates models that cannot satisfy non-negotiable requirements.
|
||||
Returns: (eligible_models, rejected_candidates_with_reasons)
|
||||
"""
|
||||
eligible: List[ModelMetadata] = []
|
||||
rejected: Dict[str, str] = {}
|
||||
|
||||
for m in models:
|
||||
if not m.is_active:
|
||||
rejected[m.id] = "Model is currently disabled/inactive."
|
||||
continue
|
||||
|
||||
# 1. Context Window check
|
||||
if analysis.context_size > m.context_window:
|
||||
rejected[m.id] = (
|
||||
f"Context window ({m.context_window} tokens) is smaller than required input ({analysis.context_size} tokens)."
|
||||
)
|
||||
continue
|
||||
|
||||
# 2. Vision requirement check
|
||||
if analysis.vision_required and not m.supports_vision:
|
||||
rejected[m.id] = "Task requires vision / multimodal capabilities which this model does not support."
|
||||
continue
|
||||
|
||||
# 3. Coding capability check (for high complexity code tasks)
|
||||
if analysis.coding_required and analysis.complexity >= 0.70 and not m.supports_coding:
|
||||
rejected[m.id] = "Task requires specialized coding capabilities for complex logic."
|
||||
continue
|
||||
|
||||
# 4. Deep reasoning capability check
|
||||
if analysis.reasoning_required and analysis.complexity >= 0.85 and not m.supports_reasoning:
|
||||
rejected[m.id] = "Task requires advanced reasoning capabilities for multi-step problem solving."
|
||||
continue
|
||||
|
||||
eligible.append(m)
|
||||
|
||||
# If all filtered out (edge case), return active models to avoid total failure
|
||||
if not eligible and models:
|
||||
for m in models:
|
||||
if m.is_active:
|
||||
eligible.append(m)
|
||||
rejected.clear()
|
||||
|
||||
return eligible, rejected
|
||||
|
||||
|
||||
def compute_candidate_score(
|
||||
model: ModelMetadata,
|
||||
analysis: RequestAnalysis,
|
||||
weights: Dict[str, float],
|
||||
) -> CandidateScore:
|
||||
"""
|
||||
Multi-criteria configurable scoring formula.
|
||||
Quality, Speed, CostEfficiency, CapabilityMatch, Reliability.
|
||||
Normalized score: 0 to 100.
|
||||
"""
|
||||
# 1. Quality Component (0.0 to 1.0)
|
||||
quality_comp = model.quality_score
|
||||
if analysis.quality_requirement == PriorityLevel.HIGH:
|
||||
# Boost premium models for high quality requirements
|
||||
if model.tier.value == "POWER":
|
||||
quality_comp = min(1.0, quality_comp * 1.15)
|
||||
elif analysis.quality_requirement == PriorityLevel.LOW:
|
||||
quality_comp = model.quality_score * 0.9
|
||||
|
||||
# 2. Speed Component (0.0 to 1.0)
|
||||
speed_comp = model.speed_score
|
||||
if analysis.latency_priority == PriorityLevel.HIGH:
|
||||
if model.tier.value == "FAST":
|
||||
speed_comp = min(1.0, speed_comp * 1.20)
|
||||
elif analysis.latency_priority == PriorityLevel.LOW:
|
||||
speed_comp = model.speed_score * 0.85
|
||||
|
||||
# 3. Cost Efficiency Component (0.0 to 1.0)
|
||||
# Zero-cost local models get 1.0, cheaper cloud models get high score
|
||||
combined_token_cost = (model.cost_per_input_token * 1000) + (model.cost_per_output_token * 1000)
|
||||
if combined_token_cost == 0.0:
|
||||
cost_efficiency = 1.0
|
||||
else:
|
||||
# Scale: $0.0001 -> 0.95, $0.01 -> 0.50, $0.05 -> 0.10
|
||||
cost_efficiency = max(0.05, min(0.99, 1.0 / (1.0 + (combined_token_cost * 100.0))))
|
||||
|
||||
if analysis.cost_sensitivity == PriorityLevel.HIGH:
|
||||
cost_efficiency = min(1.0, cost_efficiency * 1.25)
|
||||
|
||||
# 4. Capability Match Component (0.0 to 1.0)
|
||||
cap_points = 0.0
|
||||
total_caps = 0.0
|
||||
|
||||
if analysis.coding_required:
|
||||
total_caps += 1.0
|
||||
if model.supports_coding:
|
||||
cap_points += 1.0
|
||||
|
||||
if analysis.reasoning_required:
|
||||
total_caps += 1.0
|
||||
if model.supports_reasoning:
|
||||
cap_points += 1.0
|
||||
|
||||
if analysis.vision_required:
|
||||
total_caps += 1.0
|
||||
if model.supports_vision:
|
||||
cap_points += 1.0
|
||||
|
||||
capability_comp = (cap_points / total_caps) if total_caps > 0 else 0.90
|
||||
|
||||
# 5. Reliability Component (0.0 to 1.0)
|
||||
reliability_comp = model.reliability_score
|
||||
|
||||
# Weighted Sum
|
||||
w_q = weights.get("quality_weight", 0.35)
|
||||
w_c = weights.get("cost_weight", 0.25)
|
||||
w_s = weights.get("speed_weight", 0.20)
|
||||
w_cap = weights.get("capability_weight", 0.15)
|
||||
w_r = weights.get("reliability_weight", 0.05)
|
||||
total_w = w_q + w_c + w_s + w_cap + w_r
|
||||
|
||||
raw_score = (
|
||||
(quality_comp * w_q)
|
||||
+ (cost_efficiency * w_c)
|
||||
+ (speed_comp * w_s)
|
||||
+ (capability_comp * w_cap)
|
||||
+ (reliability_comp * w_r)
|
||||
) / (total_w if total_w > 0 else 1.0)
|
||||
|
||||
overall_score = round(raw_score * 100.0, 2)
|
||||
|
||||
# Estimated metrics
|
||||
est_latency = 120.0 if model.tier.value == "FAST" else (350.0 if model.tier.value == "BALANCED" else 750.0)
|
||||
est_cost = (analysis.context_size * model.cost_per_input_token) + (250 * model.cost_per_output_token)
|
||||
|
||||
return CandidateScore(
|
||||
model_id=model.id,
|
||||
model_name=model.name,
|
||||
provider=model.provider,
|
||||
tier=model.tier.value if hasattr(model.tier, "value") else str(model.tier),
|
||||
overall_score=overall_score,
|
||||
quality_component=round(quality_comp * 100.0, 1),
|
||||
cost_component=round(cost_efficiency * 100.0, 1),
|
||||
speed_component=round(speed_comp * 100.0, 1),
|
||||
capability_component=round(capability_comp * 100.0, 1),
|
||||
reliability_component=round(reliability_comp * 100.0, 1),
|
||||
estimated_latency_ms=est_latency,
|
||||
estimated_cost_usd=round(est_cost, 6),
|
||||
eligible=True,
|
||||
)
|
||||
@@ -0,0 +1,366 @@
|
||||
from typing import AsyncGenerator
|
||||
from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker, AsyncSession
|
||||
from app.config.settings import get_settings
|
||||
from app.storage.models import (
|
||||
Base,
|
||||
ModelRecord,
|
||||
ProviderRecord,
|
||||
RoutingPolicyRecord,
|
||||
RoutingRuleRecord,
|
||||
BudgetRecord,
|
||||
)
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
engine = create_async_engine(
|
||||
settings.DATABASE_URL,
|
||||
echo=False,
|
||||
connect_args={"check_same_thread": False} if "sqlite" in settings.DATABASE_URL else {},
|
||||
)
|
||||
|
||||
AsyncSessionLocal = async_sessionmaker(
|
||||
bind=engine,
|
||||
class_=AsyncSession,
|
||||
expire_on_commit=False,
|
||||
)
|
||||
|
||||
|
||||
async def get_db() -> AsyncGenerator[AsyncSession, None]:
|
||||
async with AsyncSessionLocal() as session:
|
||||
try:
|
||||
yield session
|
||||
finally:
|
||||
await session.close()
|
||||
|
||||
|
||||
async def init_db():
|
||||
async with engine.begin() as conn:
|
||||
await conn.run_sync(Base.metadata.create_all)
|
||||
|
||||
# Populate initial seed data if empty
|
||||
async with AsyncSessionLocal() as session:
|
||||
from sqlalchemy import select
|
||||
|
||||
# Check providers
|
||||
res = await session.execute(select(ProviderRecord))
|
||||
providers = res.scalars().all()
|
||||
if not providers:
|
||||
default_providers = [
|
||||
ProviderRecord(id="mock", name="Mock / Demo Provider", status="CONNECTED", is_enabled=True),
|
||||
ProviderRecord(id="ollama", name="Ollama (Local)", status="READY", is_enabled=True, base_url=settings.OLLAMA_BASE_URL),
|
||||
ProviderRecord(id="openai", name="OpenAI", status="CONNECTED" if settings.OPENAI_API_KEY else "NOT_CONFIGURED", is_enabled=bool(settings.OPENAI_API_KEY)),
|
||||
ProviderRecord(id="anthropic", name="Anthropic", status="CONNECTED" if settings.ANTHROPIC_API_KEY else "NOT_CONFIGURED", is_enabled=bool(settings.ANTHROPIC_API_KEY)),
|
||||
ProviderRecord(id="gemini", name="Google Gemini", status="CONNECTED" if settings.GEMINI_API_KEY else "NOT_CONFIGURED", is_enabled=bool(settings.GEMINI_API_KEY)),
|
||||
]
|
||||
session.add_all(default_providers)
|
||||
|
||||
# Check models
|
||||
res_m = await session.execute(select(ModelRecord))
|
||||
models = res_m.scalars().all()
|
||||
if not models:
|
||||
default_models = [
|
||||
# Mock Models
|
||||
ModelRecord(
|
||||
id="mock-fast",
|
||||
name="Mock Fast (Echo)",
|
||||
provider="mock",
|
||||
type="MOCK",
|
||||
tier="FAST",
|
||||
context_window=32768,
|
||||
supports_coding=True,
|
||||
supports_reasoning=False,
|
||||
supports_vision=False,
|
||||
supports_tools=True,
|
||||
quality_score=0.75,
|
||||
speed_score=0.98,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.0000001,
|
||||
cost_per_output_token=0.0000002,
|
||||
),
|
||||
ModelRecord(
|
||||
id="mock-balanced",
|
||||
name="Mock Balanced (General)",
|
||||
provider="mock",
|
||||
type="MOCK",
|
||||
tier="BALANCED",
|
||||
context_window=65536,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.88,
|
||||
speed_score=0.85,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.000001,
|
||||
cost_per_output_token=0.000003,
|
||||
),
|
||||
ModelRecord(
|
||||
id="mock-power",
|
||||
name="Mock Power (Reasoning)",
|
||||
provider="mock",
|
||||
type="MOCK",
|
||||
tier="POWER",
|
||||
context_window=131072,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.98,
|
||||
speed_score=0.60,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.000005,
|
||||
cost_per_output_token=0.000015,
|
||||
),
|
||||
# Local Ollama Models (Default profiles)
|
||||
ModelRecord(
|
||||
id="ollama-qwen2.5-coder",
|
||||
name="Qwen 2.5 Coder 7B (Ollama)",
|
||||
provider="ollama",
|
||||
type="LOCAL",
|
||||
tier="FAST",
|
||||
context_window=32768,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=False,
|
||||
supports_tools=True,
|
||||
quality_score=0.86,
|
||||
speed_score=0.92,
|
||||
reliability_score=0.95,
|
||||
cost_per_input_token=0.0,
|
||||
cost_per_output_token=0.0,
|
||||
),
|
||||
ModelRecord(
|
||||
id="ollama-llama3.2",
|
||||
name="Llama 3.2 3B (Ollama)",
|
||||
provider="ollama",
|
||||
type="LOCAL",
|
||||
tier="FAST",
|
||||
context_window=131072,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=False,
|
||||
supports_tools=True,
|
||||
quality_score=0.82,
|
||||
speed_score=0.95,
|
||||
reliability_score=0.95,
|
||||
cost_per_input_token=0.0,
|
||||
cost_per_output_token=0.0,
|
||||
),
|
||||
ModelRecord(
|
||||
id="ollama-mistral",
|
||||
name="Mistral 7B (Ollama)",
|
||||
provider="ollama",
|
||||
type="LOCAL",
|
||||
tier="BALANCED",
|
||||
context_window=32768,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=False,
|
||||
supports_tools=True,
|
||||
quality_score=0.84,
|
||||
speed_score=0.88,
|
||||
reliability_score=0.95,
|
||||
cost_per_input_token=0.0,
|
||||
cost_per_output_token=0.0,
|
||||
),
|
||||
ModelRecord(
|
||||
id="ollama-deepseek-r1",
|
||||
name="DeepSeek R1 8B (Ollama)",
|
||||
provider="ollama",
|
||||
type="LOCAL",
|
||||
tier="POWER",
|
||||
context_window=65536,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=False,
|
||||
supports_tools=False,
|
||||
quality_score=0.93,
|
||||
speed_score=0.68,
|
||||
reliability_score=0.94,
|
||||
cost_per_input_token=0.0,
|
||||
cost_per_output_token=0.0,
|
||||
),
|
||||
# External Cloud Model Profiles
|
||||
ModelRecord(
|
||||
id="gpt-4o-mini",
|
||||
name="OpenAI GPT-4o Mini",
|
||||
provider="openai",
|
||||
type="CLOUD",
|
||||
tier="FAST",
|
||||
context_window=128000,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.88,
|
||||
speed_score=0.90,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.00000015,
|
||||
cost_per_output_token=0.00000060,
|
||||
),
|
||||
ModelRecord(
|
||||
id="gpt-4o",
|
||||
name="OpenAI GPT-4o",
|
||||
provider="openai",
|
||||
type="CLOUD",
|
||||
tier="POWER",
|
||||
context_window=128000,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.96,
|
||||
speed_score=0.75,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.0000025,
|
||||
cost_per_output_token=0.000010,
|
||||
),
|
||||
ModelRecord(
|
||||
id="claude-3-5-sonnet",
|
||||
name="Anthropic Claude 3.5 Sonnet",
|
||||
provider="anthropic",
|
||||
type="CLOUD",
|
||||
tier="POWER",
|
||||
context_window=200000,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.98,
|
||||
speed_score=0.72,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.000003,
|
||||
cost_per_output_token=0.000015,
|
||||
),
|
||||
ModelRecord(
|
||||
id="gemini-1.5-flash",
|
||||
name="Google Gemini 1.5 Flash",
|
||||
provider="gemini",
|
||||
type="CLOUD",
|
||||
tier="FAST",
|
||||
context_window=1000000,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
supports_vision=True,
|
||||
supports_tools=True,
|
||||
quality_score=0.87,
|
||||
speed_score=0.93,
|
||||
reliability_score=0.99,
|
||||
cost_per_input_token=0.000000075,
|
||||
cost_per_output_token=0.00000030,
|
||||
),
|
||||
]
|
||||
session.add_all(default_models)
|
||||
|
||||
# Check policies
|
||||
res_p = await session.execute(select(RoutingPolicyRecord))
|
||||
policies = res_p.scalars().all()
|
||||
if not policies:
|
||||
default_policies = [
|
||||
RoutingPolicyRecord(
|
||||
id="balanced",
|
||||
name="Balanced Router",
|
||||
description="Optimizes across quality, cost, speed, capabilities, and reliability.",
|
||||
quality_weight=0.35,
|
||||
cost_weight=0.25,
|
||||
speed_weight=0.20,
|
||||
capability_weight=0.15,
|
||||
reliability_weight=0.05,
|
||||
is_default=True,
|
||||
),
|
||||
RoutingPolicyRecord(
|
||||
id="lowest_cost",
|
||||
name="Lowest Cost",
|
||||
description="Prefers cheapest and local zero-cost models with acceptable capability.",
|
||||
quality_weight=0.15,
|
||||
cost_weight=0.60,
|
||||
speed_weight=0.15,
|
||||
capability_weight=0.05,
|
||||
reliability_weight=0.05,
|
||||
is_default=False,
|
||||
),
|
||||
RoutingPolicyRecord(
|
||||
id="lowest_latency",
|
||||
name="Lowest Latency",
|
||||
description="Prefers fastest response times and high throughput models.",
|
||||
quality_weight=0.15,
|
||||
cost_weight=0.15,
|
||||
speed_weight=0.60,
|
||||
capability_weight=0.05,
|
||||
reliability_weight=0.05,
|
||||
is_default=False,
|
||||
),
|
||||
RoutingPolicyRecord(
|
||||
id="highest_quality",
|
||||
name="Highest Quality",
|
||||
description="Directs all complex reasoning and coding tasks to top-tier frontier models.",
|
||||
quality_weight=0.65,
|
||||
cost_weight=0.05,
|
||||
speed_weight=0.10,
|
||||
capability_weight=0.15,
|
||||
reliability_weight=0.05,
|
||||
is_default=False,
|
||||
),
|
||||
RoutingPolicyRecord(
|
||||
id="custom",
|
||||
name="Custom Weights",
|
||||
description="User-defined policy weights.",
|
||||
quality_weight=0.30,
|
||||
cost_weight=0.30,
|
||||
speed_weight=0.20,
|
||||
capability_weight=0.10,
|
||||
reliability_weight=0.10,
|
||||
is_default=False,
|
||||
),
|
||||
]
|
||||
session.add_all(default_policies)
|
||||
|
||||
# Check default budget
|
||||
res_b = await session.execute(select(BudgetRecord))
|
||||
budget = res_b.scalar_one_or_none()
|
||||
if not budget:
|
||||
session.add(
|
||||
BudgetRecord(
|
||||
id="default",
|
||||
daily_limit=settings.DAILY_BUDGET,
|
||||
monthly_limit=settings.MONTHLY_BUDGET,
|
||||
per_request_limit=settings.PER_REQUEST_BUDGET,
|
||||
current_daily_spend=0.0,
|
||||
current_monthly_spend=0.0,
|
||||
intervention_mode="NORMAL",
|
||||
)
|
||||
)
|
||||
|
||||
# Check default rules
|
||||
res_r = await session.execute(select(RoutingRuleRecord))
|
||||
rules = res_r.scalars().all()
|
||||
if not rules:
|
||||
default_rules = [
|
||||
RoutingRuleRecord(
|
||||
id="rule-code-reasoning",
|
||||
name="Deep Debugging & Reasoning Override",
|
||||
description="Route high complexity coding & debugging to Power Models",
|
||||
priority=10,
|
||||
is_enabled=True,
|
||||
condition_field="task_type",
|
||||
condition_operator="==",
|
||||
condition_value="DEBUGGING",
|
||||
action_type="FORCE_TIER",
|
||||
action_target="POWER",
|
||||
),
|
||||
RoutingRuleRecord(
|
||||
id="rule-budget-saver",
|
||||
name="Budget Guard > 95%",
|
||||
description="Prefer local or fast models when budget exceeds 95%",
|
||||
priority=50,
|
||||
is_enabled=True,
|
||||
condition_field="budget_percent",
|
||||
condition_operator=">=",
|
||||
condition_value="95.0",
|
||||
action_type="SET_POLICY",
|
||||
action_target="lowest_cost",
|
||||
),
|
||||
]
|
||||
session.add_all(default_rules)
|
||||
|
||||
await session.commit()
|
||||
@@ -0,0 +1,202 @@
|
||||
import datetime
|
||||
from sqlalchemy import (
|
||||
Column,
|
||||
String,
|
||||
Float,
|
||||
Integer,
|
||||
Boolean,
|
||||
DateTime,
|
||||
Text,
|
||||
JSON,
|
||||
ForeignKey,
|
||||
)
|
||||
from sqlalchemy.orm import declarative_base, relationship
|
||||
|
||||
Base = declarative_base()
|
||||
|
||||
|
||||
class ModelRecord(Base):
|
||||
__tablename__ = "models"
|
||||
|
||||
id = Column(String(100), primary_key=True)
|
||||
name = Column(String(200), nullable=False)
|
||||
provider = Column(String(50), nullable=False) # mock, ollama, openai, anthropic, gemini
|
||||
type = Column(String(50), default="LOCAL") # LOCAL, CLOUD, MOCK
|
||||
context_window = Column(Integer, default=8192)
|
||||
|
||||
supports_coding = Column(Boolean, default=False)
|
||||
supports_reasoning = Column(Boolean, default=False)
|
||||
supports_vision = Column(Boolean, default=False)
|
||||
supports_tools = Column(Boolean, default=False)
|
||||
|
||||
quality_score = Column(Float, default=0.7)
|
||||
speed_score = Column(Float, default=0.7)
|
||||
reliability_score = Column(Float, default=0.95)
|
||||
|
||||
cost_per_input_token = Column(Float, default=0.0)
|
||||
cost_per_output_token = Column(Float, default=0.0)
|
||||
|
||||
availability = Column(String(50), default="AVAILABLE")
|
||||
is_active = Column(Boolean, default=True)
|
||||
tier = Column(String(50), default="BALANCED") # FAST, BALANCED, POWER
|
||||
|
||||
created_at = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
updated_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class ProviderRecord(Base):
|
||||
__tablename__ = "providers"
|
||||
|
||||
id = Column(String(50), primary_key=True)
|
||||
name = Column(String(100), nullable=False)
|
||||
status = Column(String(50), default="READY") # READY, CONNECTED, NOT_CONFIGURED, ERROR
|
||||
is_enabled = Column(Boolean, default=True)
|
||||
base_url = Column(String(500), nullable=True)
|
||||
updated_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class RoutingPolicyRecord(Base):
|
||||
__tablename__ = "routing_policies"
|
||||
|
||||
id = Column(String(50), primary_key=True)
|
||||
name = Column(String(100), nullable=False)
|
||||
description = Column(String(500), nullable=True)
|
||||
quality_weight = Column(Float, default=0.35)
|
||||
cost_weight = Column(Float, default=0.25)
|
||||
speed_weight = Column(Float, default=0.20)
|
||||
capability_weight = Column(Float, default=0.15)
|
||||
reliability_weight = Column(Float, default=0.05)
|
||||
is_default = Column(Boolean, default=False)
|
||||
|
||||
|
||||
class RoutingRuleRecord(Base):
|
||||
__tablename__ = "routing_rules"
|
||||
|
||||
id = Column(String(100), primary_key=True)
|
||||
name = Column(String(200), nullable=False)
|
||||
description = Column(String(500), nullable=True)
|
||||
priority = Column(Integer, default=0)
|
||||
is_enabled = Column(Boolean, default=True)
|
||||
|
||||
condition_field = Column(String(100), nullable=False) # task_type, complexity, budget_percent, context_size
|
||||
condition_operator = Column(String(50), nullable=False) # ==, !=, >, <, >=, <=, contains
|
||||
condition_value = Column(String(200), nullable=False)
|
||||
|
||||
action_type = Column(String(50), nullable=False) # ROUTE_TO, PREFER, FORCE_TIER, SET_POLICY
|
||||
action_target = Column(String(100), nullable=False)
|
||||
|
||||
created_at = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class RequestRecord(Base):
|
||||
__tablename__ = "requests"
|
||||
|
||||
request_id = Column(String(100), primary_key=True)
|
||||
timestamp = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
prompt = Column(Text, nullable=False)
|
||||
task_type = Column(String(50), nullable=False)
|
||||
complexity = Column(Float, default=0.5)
|
||||
context_size = Column(Integer, default=0)
|
||||
reasoning_required = Column(Boolean, default=False)
|
||||
coding_required = Column(Boolean, default=False)
|
||||
|
||||
routing_policy = Column(String(50), default="balanced")
|
||||
selected_model = Column(String(100), nullable=False)
|
||||
provider = Column(String(50), nullable=False)
|
||||
status = Column(String(50), default="SUCCESS") # SUCCESS, FAILED, FALLBACK
|
||||
|
||||
fallback_used = Column(Boolean, default=False)
|
||||
original_model = Column(String(100), nullable=True)
|
||||
fallback_reason = Column(String(500), nullable=True)
|
||||
|
||||
input_tokens = Column(Integer, default=0)
|
||||
output_tokens = Column(Integer, default=0)
|
||||
total_tokens = Column(Integer, default=0)
|
||||
estimated_cost = Column(Float, default=0.0)
|
||||
baseline_cost = Column(Float, default=0.0)
|
||||
cost_saved = Column(Float, default=0.0)
|
||||
|
||||
routing_latency_ms = Column(Float, default=0.0)
|
||||
provider_latency_ms = Column(Float, default=0.0)
|
||||
total_latency_ms = Column(Float, default=0.0)
|
||||
time_to_first_token_ms = Column(Float, nullable=True)
|
||||
|
||||
|
||||
class RoutingDecisionRecord(Base):
|
||||
__tablename__ = "routing_decisions"
|
||||
|
||||
decision_id = Column(String(100), primary_key=True)
|
||||
request_id = Column(String(100), ForeignKey("requests.request_id"), nullable=False)
|
||||
timestamp = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
|
||||
selected_model = Column(String(100), nullable=False)
|
||||
confidence = Column(Float, default=0.9)
|
||||
reasons = Column(JSON, default=list)
|
||||
candidate_scores = Column(JSON, default=dict)
|
||||
rejected_candidates = Column(JSON, default=dict)
|
||||
policy_used = Column(String(50), default="balanced")
|
||||
|
||||
|
||||
class ResponseRecord(Base):
|
||||
__tablename__ = "responses"
|
||||
|
||||
response_id = Column(String(100), primary_key=True)
|
||||
request_id = Column(String(100), ForeignKey("requests.request_id"), nullable=False)
|
||||
timestamp = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
model_id = Column(String(100), nullable=False)
|
||||
provider = Column(String(50), nullable=False)
|
||||
content = Column(Text, nullable=False)
|
||||
finish_reason = Column(String(50), default="stop")
|
||||
is_mock = Column(Boolean, default=False)
|
||||
|
||||
|
||||
class FeedbackRecord(Base):
|
||||
__tablename__ = "feedback"
|
||||
|
||||
id = Column(String(100), primary_key=True)
|
||||
request_id = Column(String(100), ForeignKey("requests.request_id"), nullable=False)
|
||||
model_id = Column(String(100), nullable=False)
|
||||
task_type = Column(String(50), nullable=False)
|
||||
rating = Column(Integer, nullable=False) # 1 for thumbs up, -1 for thumbs down
|
||||
comment = Column(Text, nullable=True)
|
||||
timestamp = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class BudgetRecord(Base):
|
||||
__tablename__ = "budgets"
|
||||
|
||||
id = Column(String(50), primary_key=True, default="default")
|
||||
daily_limit = Column(Float, default=10.0)
|
||||
monthly_limit = Column(Float, default=100.0)
|
||||
per_request_limit = Column(Float, default=1.0)
|
||||
current_daily_spend = Column(Float, default=0.0)
|
||||
current_monthly_spend = Column(Float, default=0.0)
|
||||
intervention_mode = Column(String(50), default="OPTIMIZE") # NORMAL, OPTIMIZE_80, CHEAP_95, BLOCK_100
|
||||
updated_at = Column(DateTime, default=datetime.datetime.utcnow, onupdate=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class ExperimentRecord(Base):
|
||||
__tablename__ = "experiments"
|
||||
|
||||
id = Column(String(100), primary_key=True)
|
||||
name = Column(String(200), nullable=False)
|
||||
description = Column(String(500), nullable=True)
|
||||
policy_a = Column(String(50), nullable=False)
|
||||
policy_b = Column(String(50), nullable=False)
|
||||
status = Column(String(50), default="ACTIVE") # ACTIVE, PAUSED, COMPLETED
|
||||
sample_count = Column(Integer, default=0)
|
||||
created_at = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
|
||||
|
||||
class ExperimentRunRecord(Base):
|
||||
__tablename__ = "experiment_runs"
|
||||
|
||||
id = Column(String(100), primary_key=True)
|
||||
experiment_id = Column(String(100), ForeignKey("experiments.id"), nullable=False)
|
||||
request_id = Column(String(100), ForeignKey("requests.request_id"), nullable=False)
|
||||
assigned_policy = Column(String(50), nullable=False)
|
||||
selected_model = Column(String(100), nullable=False)
|
||||
cost = Column(Float, default=0.0)
|
||||
latency_ms = Column(Float, default=0.0)
|
||||
feedback_rating = Column(Integer, nullable=True)
|
||||
timestamp = Column(DateTime, default=datetime.datetime.utcnow)
|
||||
@@ -0,0 +1,94 @@
|
||||
import asyncio
|
||||
import json
|
||||
from contextlib import asynccontextmanager
|
||||
from fastapi import FastAPI
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from sse_starlette.sse import EventSourceResponse
|
||||
|
||||
from app.config.settings import get_settings
|
||||
from app.storage.database import init_db, AsyncSessionLocal
|
||||
from app.storage.models import RequestRecord
|
||||
from app.api.routes import router as api_router
|
||||
from sqlalchemy import select, desc
|
||||
|
||||
settings = get_settings()
|
||||
|
||||
|
||||
@asynccontextmanager
|
||||
async def lifespan(app: FastAPI):
|
||||
# Initialize SQLite database and seed defaults
|
||||
await init_db()
|
||||
yield
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
title="Model Router",
|
||||
description="Intelligent LLM Request Routing Platform — AI Traffic Control Room",
|
||||
version="1.0.0",
|
||||
lifespan=lifespan,
|
||||
)
|
||||
|
||||
# CORS configuration
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.include_router(api_router)
|
||||
|
||||
|
||||
@app.get("/api/traffic/stream")
|
||||
async def stream_live_traffic():
|
||||
"""
|
||||
SSE Live Stream endpoint for the Traffic Control Room visualization.
|
||||
Pushes newly persisted requests to connected frontend clients.
|
||||
"""
|
||||
async def event_generator():
|
||||
last_seen_id = None
|
||||
while True:
|
||||
try:
|
||||
async with AsyncSessionLocal() as session:
|
||||
res = await session.execute(
|
||||
select(RequestRecord).order_by(desc(RequestRecord.timestamp)).limit(1)
|
||||
)
|
||||
latest = res.scalar_one_or_none()
|
||||
if latest and latest.request_id != last_seen_id:
|
||||
last_seen_id = latest.request_id
|
||||
payload = {
|
||||
"request_id": latest.request_id,
|
||||
"timestamp": latest.timestamp.isoformat() if latest.timestamp else "",
|
||||
"prompt": latest.prompt,
|
||||
"task_type": latest.task_type,
|
||||
"complexity": latest.complexity,
|
||||
"selected_model": latest.selected_model,
|
||||
"provider": latest.provider,
|
||||
"status": latest.status,
|
||||
"total_latency_ms": latest.total_latency_ms,
|
||||
"estimated_cost": latest.estimated_cost,
|
||||
}
|
||||
yield {
|
||||
"event": "traffic_event",
|
||||
"data": json.dumps(payload),
|
||||
}
|
||||
except Exception:
|
||||
pass
|
||||
await asyncio.sleep(1.5)
|
||||
|
||||
return EventSourceResponse(event_generator())
|
||||
|
||||
|
||||
@app.get("/")
|
||||
async def root():
|
||||
return {
|
||||
"message": "Model Router AI Control Room Backend is active.",
|
||||
"docs": "/docs",
|
||||
"health": "/api/health",
|
||||
}
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run("main:app", host=settings.HOST, port=settings.PORT, reload=settings.DEBUG)
|
||||
@@ -0,0 +1,15 @@
|
||||
fastapi>=0.110.0
|
||||
uvicorn[standard]>=0.28.0
|
||||
pydantic>=2.6.0
|
||||
pydantic-settings>=2.2.0
|
||||
sqlalchemy>=2.0.28
|
||||
aiosqlite>=0.20.0
|
||||
httpx>=0.27.0
|
||||
typer>=0.12.0
|
||||
rich>=13.7.0
|
||||
pytest>=8.0.0
|
||||
pytest-asyncio>=0.23.0
|
||||
python-dotenv>=1.0.1
|
||||
python-multipart>=0.0.9
|
||||
sse-starlette>=2.0.0
|
||||
tiktoken>=0.6.0
|
||||
@@ -0,0 +1,41 @@
|
||||
import pytest
|
||||
from app.analyzer.heuristics import analyze_request_heuristics, estimate_tokens
|
||||
from app.models.schemas import TaskType, PriorityLevel
|
||||
|
||||
|
||||
def test_token_estimation():
|
||||
text = "Hello world from Model Router platform!"
|
||||
tokens = estimate_tokens(text)
|
||||
assert tokens > 0
|
||||
|
||||
|
||||
def test_heuristic_classification_coding():
|
||||
prompt = "Write a python function to calculate fibonacci sequence using dynamic programming"
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
assert analysis.task_type == TaskType.CODING
|
||||
assert analysis.coding_required is True
|
||||
assert analysis.complexity >= 0.40
|
||||
|
||||
|
||||
def test_heuristic_classification_debugging_complexity():
|
||||
prompt = "Debug this distributed async deadlock issue in the microservices cluster and explain the root cause"
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
assert analysis.task_type == TaskType.DEBUGGING
|
||||
assert analysis.reasoning_required is True
|
||||
assert analysis.coding_required is True
|
||||
assert analysis.complexity_label == PriorityLevel.HIGH
|
||||
assert analysis.complexity >= 0.75
|
||||
|
||||
|
||||
def test_heuristic_classification_summarization():
|
||||
prompt = "Provide a summary and key bullet points of this meeting transcript"
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
assert analysis.task_type == TaskType.SUMMARIZATION
|
||||
assert analysis.complexity_label in (PriorityLevel.LOW, PriorityLevel.MEDIUM)
|
||||
|
||||
|
||||
def test_heuristic_classification_math():
|
||||
prompt = "Calculate the derivative and integral of matrix eigenvalue differential equation"
|
||||
analysis = analyze_request_heuristics(prompt)
|
||||
assert analysis.task_type == TaskType.MATH
|
||||
assert analysis.reasoning_required is True
|
||||
@@ -0,0 +1,66 @@
|
||||
import pytest
|
||||
from httpx import AsyncClient, ASGITransport
|
||||
from main import app
|
||||
from app.storage.database import init_db
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
async def setup_db():
|
||||
await init_db()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_health():
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://test") as client:
|
||||
res = await client.get("/api/health")
|
||||
assert res.status_code == 200
|
||||
data = res.json()
|
||||
assert data["status"] == "healthy"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_route_only():
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://test") as client:
|
||||
payload = {"prompt": "Write a Python script to benchmark models", "policy": "balanced"}
|
||||
res = await client.post("/api/route", json=payload)
|
||||
assert res.status_code == 200
|
||||
data = res.json()
|
||||
assert "decision" in data
|
||||
assert "analysis" in data
|
||||
assert data["analysis"]["task_type"] == "CODING"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_generate_end_to_end():
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://test") as client:
|
||||
payload = {"prompt": "Debug this memory leak in python subprocess", "policy": "balanced"}
|
||||
res = await client.post("/api/generate", json=payload)
|
||||
assert res.status_code == 200
|
||||
data = res.json()
|
||||
assert "response" in data
|
||||
assert "metrics" in data
|
||||
assert len(data["response"]["content"]) > 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_models_list():
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://test") as client:
|
||||
res = await client.get("/api/models")
|
||||
assert res.status_code == 200
|
||||
models = res.json()
|
||||
assert len(models) >= 3
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_api_analytics():
|
||||
transport = ASGITransport(app=app)
|
||||
async with AsyncClient(transport=transport, base_url="http://test") as client:
|
||||
res = await client.get("/api/analytics")
|
||||
assert res.status_code == 200
|
||||
data = res.json()
|
||||
assert "total_requests" in data
|
||||
assert "savings" in data
|
||||
@@ -0,0 +1,21 @@
|
||||
import pytest
|
||||
from app.providers.mock_provider import MockProvider
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mock_provider_generate():
|
||||
provider = MockProvider()
|
||||
resp = await provider.generate("Write a quick Python sort function", model_id="mock-fast")
|
||||
assert resp.is_mock is True
|
||||
assert "DEMO/MOCK" in resp.content
|
||||
assert resp.input_tokens > 0
|
||||
assert resp.output_tokens > 0
|
||||
assert resp.provider_latency_ms > 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mock_provider_health():
|
||||
provider = MockProvider()
|
||||
health = await provider.check_health()
|
||||
assert health["status"] == "CONNECTED"
|
||||
assert "mock-fast" in health["models_available"]
|
||||
@@ -0,0 +1,78 @@
|
||||
import pytest
|
||||
from app.models.schemas import ModelMetadata, ModelTier, RequestAnalysis, TaskType, PriorityLevel
|
||||
from app.router.scoring import filter_candidate_models, compute_candidate_score
|
||||
from app.router.engine import route_request
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_models():
|
||||
return [
|
||||
ModelMetadata(
|
||||
id="mock-fast",
|
||||
name="Mock Fast",
|
||||
provider="mock",
|
||||
tier=ModelTier.FAST,
|
||||
context_window=8192,
|
||||
supports_coding=True,
|
||||
supports_reasoning=False,
|
||||
quality_score=0.75,
|
||||
speed_score=0.98,
|
||||
cost_per_input_token=0.0,
|
||||
cost_per_output_token=0.0,
|
||||
),
|
||||
ModelMetadata(
|
||||
id="mock-power",
|
||||
name="Mock Power",
|
||||
provider="mock",
|
||||
tier=ModelTier.POWER,
|
||||
context_window=128000,
|
||||
supports_coding=True,
|
||||
supports_reasoning=True,
|
||||
quality_score=0.98,
|
||||
speed_score=0.60,
|
||||
cost_per_input_token=0.000005,
|
||||
cost_per_output_token=0.000015,
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
def test_candidate_filtering_context_overflow(sample_models):
|
||||
large_analysis = RequestAnalysis(
|
||||
task_type=TaskType.LONG_CONTEXT,
|
||||
complexity=0.7,
|
||||
context_size=15000, # exceeds mock-fast 8192
|
||||
)
|
||||
eligible, rejected = filter_candidate_models(sample_models, large_analysis)
|
||||
assert len(eligible) == 1
|
||||
assert eligible[0].id == "mock-power"
|
||||
assert "mock-fast" in rejected
|
||||
|
||||
|
||||
def test_scoring_weights(sample_models):
|
||||
analysis = RequestAnalysis(
|
||||
task_type=TaskType.CODING,
|
||||
complexity=0.3,
|
||||
latency_priority=PriorityLevel.HIGH,
|
||||
cost_sensitivity=PriorityLevel.HIGH,
|
||||
)
|
||||
weights = {"quality_weight": 0.1, "cost_weight": 0.5, "speed_weight": 0.4, "capability_weight": 0.0, "reliability_weight": 0.0}
|
||||
score_fast = compute_candidate_score(sample_models[0], analysis, weights)
|
||||
score_power = compute_candidate_score(sample_models[1], analysis, weights)
|
||||
assert score_fast.overall_score > score_power.overall_score
|
||||
|
||||
|
||||
def test_routing_decision_explainability(sample_models):
|
||||
analysis = RequestAnalysis(
|
||||
task_type=TaskType.DEBUGGING,
|
||||
complexity=0.85,
|
||||
complexity_label=PriorityLevel.HIGH,
|
||||
reasoning_required=True,
|
||||
coding_required=True,
|
||||
quality_requirement=PriorityLevel.HIGH,
|
||||
)
|
||||
weights = {"quality_weight": 0.6, "cost_weight": 0.1, "speed_weight": 0.1, "capability_weight": 0.1, "reliability_weight": 0.1}
|
||||
decision = route_request(analysis, sample_models, weights, policy_name="highest_quality")
|
||||
assert decision.selected_model == "mock-power"
|
||||
assert decision.confidence > 0.70
|
||||
assert len(decision.reasons) > 0
|
||||
assert any("DEBUGGING" in r for r in decision.reasons)
|
||||
@@ -0,0 +1,24 @@
|
||||
version: '3.8'
|
||||
|
||||
services:
|
||||
backend:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: backend/Dockerfile
|
||||
ports:
|
||||
- "8000:8000"
|
||||
environment:
|
||||
- APP_ENV=production
|
||||
- DATABASE_URL=sqlite+aiosqlite:///./model_router.db
|
||||
- OLLAMA_BASE_URL=http://host.docker.internal:11434
|
||||
volumes:
|
||||
- ./data:/app/data
|
||||
|
||||
frontend:
|
||||
build:
|
||||
context: ./frontend
|
||||
dockerfile: Dockerfile
|
||||
ports:
|
||||
- "3000:80"
|
||||
depends_on:
|
||||
- backend
|
||||
@@ -0,0 +1,24 @@
|
||||
# Logs
|
||||
logs
|
||||
*.log
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
pnpm-debug.log*
|
||||
lerna-debug.log*
|
||||
|
||||
node_modules
|
||||
dist
|
||||
dist-ssr
|
||||
*.local
|
||||
|
||||
# Editor directories and files
|
||||
.vscode/*
|
||||
!.vscode/extensions.json
|
||||
.idea
|
||||
.DS_Store
|
||||
*.suo
|
||||
*.ntvs*
|
||||
*.njsproj
|
||||
*.sln
|
||||
*.sw?
|
||||
@@ -0,0 +1,16 @@
|
||||
<!doctype html>
|
||||
<html lang="en" class="dark">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Model Router — AI Traffic Control Room</title>
|
||||
<link rel="icon" type="image/png" href="/favicon.png" />
|
||||
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="stylesheet">
|
||||
</head>
|
||||
<body class="bg-[#07090C] text-[#F5F7FA]">
|
||||
<div id="root"></div>
|
||||
<script type="module" src="/src/main.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
Generated
+2114
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"name": "frontend",
|
||||
"private": true,
|
||||
"version": "0.0.0",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "vite",
|
||||
"build": "tsc && vite build",
|
||||
"preview": "vite preview"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@tailwindcss/postcss": "^4.3.3",
|
||||
"@types/react": "^19.2.18",
|
||||
"@types/react-dom": "^19.2.5",
|
||||
"typescript": "~6.0.2",
|
||||
"vite": "^8.2.2"
|
||||
},
|
||||
"dependencies": {
|
||||
"autoprefixer": "^10.5.4",
|
||||
"clsx": "^2.1.1",
|
||||
"lucide-react": "^1.38.0",
|
||||
"postcss": "^8.5.26",
|
||||
"recharts": "^3.10.1",
|
||||
"tailwindcss": "^4.3.3"
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,6 @@
|
||||
export default {
|
||||
plugins: {
|
||||
'@tailwindcss/postcss': {},
|
||||
autoprefixer: {},
|
||||
},
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 152 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 9.3 KiB |
@@ -0,0 +1,24 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg">
|
||||
<symbol id="bluesky-icon" viewBox="0 0 16 17">
|
||||
<g clip-path="url(#bluesky-clip)"><path fill="#08060d" d="M7.75 7.735c-.693-1.348-2.58-3.86-4.334-5.097-1.68-1.187-2.32-.981-2.74-.79C.188 2.065.1 2.812.1 3.251s.241 3.602.398 4.13c.52 1.744 2.367 2.333 4.07 2.145-2.495.37-4.71 1.278-1.805 4.512 3.196 3.309 4.38-.71 4.987-2.746.608 2.036 1.307 5.91 4.93 2.746 2.72-2.746.747-4.143-1.747-4.512 1.702.189 3.55-.4 4.07-2.145.156-.528.397-3.691.397-4.13s-.088-1.186-.575-1.406c-.42-.19-1.06-.395-2.741.79-1.755 1.24-3.64 3.752-4.334 5.099"/></g>
|
||||
<defs><clipPath id="bluesky-clip"><path fill="#fff" d="M.1.85h15.3v15.3H.1z"/></clipPath></defs>
|
||||
</symbol>
|
||||
<symbol id="discord-icon" viewBox="0 0 20 19">
|
||||
<path fill="#08060d" d="M16.224 3.768a14.5 14.5 0 0 0-3.67-1.153c-.158.286-.343.67-.47.976a13.5 13.5 0 0 0-4.067 0c-.128-.306-.317-.69-.476-.976A14.4 14.4 0 0 0 3.868 3.77C1.546 7.28.916 10.703 1.231 14.077a14.7 14.7 0 0 0 4.5 2.306q.545-.748.965-1.587a9.5 9.5 0 0 1-1.518-.74q.191-.14.372-.293c2.927 1.369 6.107 1.369 8.999 0q.183.152.372.294-.723.437-1.52.74.418.838.963 1.588a14.6 14.6 0 0 0 4.504-2.308c.37-3.911-.63-7.302-2.644-10.309m-9.13 8.234c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.894 0 1.614.82 1.599 1.82.001 1-.705 1.82-1.6 1.82m5.91 0c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.893 0 1.614.82 1.599 1.82 0 1-.706 1.82-1.6 1.82"/>
|
||||
</symbol>
|
||||
<symbol id="documentation-icon" viewBox="0 0 21 20">
|
||||
<path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="m15.5 13.333 1.533 1.322c.645.555.967.833.967 1.178s-.322.623-.967 1.179L15.5 18.333m-3.333-5-1.534 1.322c-.644.555-.966.833-.966 1.178s.322.623.966 1.179l1.534 1.321"/>
|
||||
<path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M17.167 10.836v-4.32c0-1.41 0-2.117-.224-2.68-.359-.906-1.118-1.621-2.08-1.96-.599-.21-1.349-.21-2.848-.21-2.623 0-3.935 0-4.983.369-1.684.591-3.013 1.842-3.641 3.428C3 6.449 3 7.684 3 10.154v2.122c0 2.558 0 3.838.706 4.726q.306.383.713.671c.76.536 1.79.64 3.581.66"/>
|
||||
<path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M3 10a2.78 2.78 0 0 1 2.778-2.778c.555 0 1.209.097 1.748-.047.48-.129.854-.503.982-.982.145-.54.048-1.194.048-1.749a2.78 2.78 0 0 1 2.777-2.777"/>
|
||||
</symbol>
|
||||
<symbol id="github-icon" viewBox="0 0 19 19">
|
||||
<path fill="#08060d" fill-rule="evenodd" d="M9.356 1.85C5.05 1.85 1.57 5.356 1.57 9.694a7.84 7.84 0 0 0 5.324 7.44c.387.079.528-.168.528-.376 0-.182-.013-.805-.013-1.454-2.165.467-2.616-.935-2.616-.935-.349-.91-.864-1.143-.864-1.143-.71-.48.051-.48.051-.48.787.051 1.2.805 1.2.805.695 1.194 1.817.857 2.268.649.064-.507.27-.857.49-1.052-1.728-.182-3.545-.857-3.545-3.87 0-.857.31-1.558.8-2.104-.078-.195-.349-1 .077-2.078 0 0 .657-.208 2.14.805a7.5 7.5 0 0 1 1.946-.26c.657 0 1.328.092 1.946.26 1.483-1.013 2.14-.805 2.14-.805.426 1.078.155 1.883.078 2.078.502.546.799 1.247.799 2.104 0 3.013-1.818 3.675-3.558 3.87.284.247.528.714.528 1.454 0 1.052-.012 1.896-.012 2.156 0 .208.142.455.528.377a7.84 7.84 0 0 0 5.324-7.441c.013-4.338-3.48-7.844-7.773-7.844" clip-rule="evenodd"/>
|
||||
</symbol>
|
||||
<symbol id="social-icon" viewBox="0 0 20 20">
|
||||
<path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M12.5 6.667a4.167 4.167 0 1 0-8.334 0 4.167 4.167 0 0 0 8.334 0"/>
|
||||
<path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M2.5 16.667a5.833 5.833 0 0 1 8.75-5.053m3.837.474.513 1.035c.07.144.257.282.414.309l.93.155c.596.1.736.536.307.965l-.723.73a.64.64 0 0 0-.152.531l.207.903c.164.715-.213.991-.84.618l-.872-.52a.63.63 0 0 0-.577 0l-.872.52c-.624.373-1.003.094-.84-.618l.207-.903a.64.64 0 0 0-.152-.532l-.723-.729c-.426-.43-.289-.864.306-.964l.93-.156a.64.64 0 0 0 .412-.31l.513-1.034c.28-.562.735-.562 1.012 0"/>
|
||||
</symbol>
|
||||
<symbol id="x-icon" viewBox="0 0 19 19">
|
||||
<path fill="#08060d" fill-rule="evenodd" d="M1.893 1.98c.052.072 1.245 1.769 2.653 3.77l2.892 4.114c.183.261.333.48.333.486s-.068.089-.152.183l-.522.593-.765.867-3.597 4.087c-.375.426-.734.834-.798.905a1 1 0 0 0-.118.148c0 .01.236.017.664.017h.663l.729-.83c.4-.457.796-.906.879-.999a692 692 0 0 0 1.794-2.038c.034-.037.301-.34.594-.675l.551-.624.345-.392a7 7 0 0 1 .34-.374c.006 0 .93 1.306 2.052 2.903l2.084 2.965.045.063h2.275c1.87 0 2.273-.003 2.266-.021-.008-.02-1.098-1.572-3.894-5.547-2.013-2.862-2.28-3.246-2.273-3.266.008-.019.282-.332 2.085-2.38l2-2.274 1.567-1.782c.022-.028-.016-.03-.65-.03h-.674l-.3.342a871 871 0 0 1-1.782 2.025c-.067.075-.405.458-.75.852a100 100 0 0 1-.803.91c-.148.172-.299.344-.99 1.127-.304.343-.32.358-.345.327-.015-.019-.904-1.282-1.976-2.808L6.365 1.85H1.8zm1.782.91 8.078 11.294c.772 1.08 1.413 1.973 1.425 1.984.016.017.241.02 1.05.017l1.03-.004-2.694-3.766L7.796 5.75 5.722 2.852l-1.039-.004-1.039-.004z" clip-rule="evenodd"/>
|
||||
</symbol>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 4.9 KiB |
Binary file not shown.
|
After Width: | Height: | Size: 152 KiB |
@@ -0,0 +1,50 @@
|
||||
import React, { useState } from 'react';
|
||||
import { Navbar } from './components/Navbar';
|
||||
import { Dashboard } from './pages/Dashboard';
|
||||
import { Playground } from './pages/Playground';
|
||||
import { Traffic } from './pages/Traffic';
|
||||
import { Models } from './pages/Models';
|
||||
import { Rules } from './pages/Rules';
|
||||
import { Analytics } from './pages/Analytics';
|
||||
import { SettingsPage } from './pages/SettingsPage';
|
||||
|
||||
export function App() {
|
||||
const [activeTab, setActiveTab] = useState<string>('dashboard');
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-bg-primary text-text-primary flex flex-col selection:bg-accent-primary/20">
|
||||
{/* Top AI Control Room Navbar */}
|
||||
<Navbar activeTab={activeTab} setActiveTab={setActiveTab} />
|
||||
|
||||
{/* Main Container */}
|
||||
<main className="flex-1 max-w-7xl w-full mx-auto px-4 sm:px-6 lg:px-8 pt-8">
|
||||
{activeTab === 'dashboard' && <Dashboard onNavigate={setActiveTab} />}
|
||||
{activeTab === 'playground' && <Playground />}
|
||||
{activeTab === 'traffic' && <Traffic />}
|
||||
{activeTab === 'models' && <Models />}
|
||||
{activeTab === 'rules' && <Rules />}
|
||||
{activeTab === 'analytics' && <Analytics />}
|
||||
{activeTab === 'settings' && <SettingsPage />}
|
||||
</main>
|
||||
|
||||
{/* Footer */}
|
||||
<footer className="border-t border-border-subtle bg-bg-secondary/80 py-8 mt-12">
|
||||
<div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 flex flex-col sm:flex-row items-center justify-between gap-4 font-mono text-xs text-text-muted">
|
||||
<div className="flex items-center gap-3">
|
||||
<div className="w-6 h-6 rounded-lg bg-[#0D1117] border border-border-subtle flex items-center justify-center p-0.5">
|
||||
<img src="/logo.png" alt="MR" className="w-full h-full object-contain" />
|
||||
</div>
|
||||
<span className="font-bold text-text-primary">Model Router</span>
|
||||
<span className="text-text-dim">•</span>
|
||||
<span>Intelligent LLM Request Dispatcher</span>
|
||||
</div>
|
||||
<div className="text-text-dim text-[11px]">
|
||||
Local-First • Provider-Agnostic • Open-Source MIT
|
||||
</div>
|
||||
</div>
|
||||
</footer>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default App;
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 13 KiB |
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" width="32" height="32" viewBox="0 0 256 256"><path fill="#007ACC" d="M0 128v128h256V0H0z"/><path fill="#FFF" d="m56.612 128.85l-.081 10.483h33.32v94.68h23.568v-94.68h33.321v-10.28c0-5.69-.122-10.444-.284-10.566c-.122-.162-20.4-.244-44.983-.203l-44.74.122l-.121 10.443Zm149.955-10.742c6.501 1.625 11.459 4.51 16.01 9.224c2.357 2.52 5.851 7.111 6.136 8.208c.08.325-11.053 7.802-17.798 11.988c-.244.162-1.22-.894-2.317-2.52c-3.291-4.795-6.745-6.867-12.028-7.233c-7.76-.528-12.759 3.535-12.718 10.321c0 1.992.284 3.17 1.097 4.795c1.707 3.536 4.876 5.649 14.832 9.956c18.326 7.883 26.168 13.084 31.045 20.48c5.445 8.249 6.664 21.415 2.966 31.208c-4.063 10.646-14.14 17.879-28.323 20.276c-4.388.772-14.79.65-19.504-.203c-10.28-1.828-20.033-6.908-26.047-13.572c-2.357-2.6-6.949-9.387-6.664-9.874c.122-.163 1.178-.813 2.356-1.504c1.138-.65 5.446-3.129 9.509-5.485l7.355-4.267l1.544 2.276c2.154 3.29 6.867 7.801 9.712 9.305c8.167 4.307 19.383 3.698 24.909-1.26c2.357-2.153 3.332-4.388 3.332-7.68c0-2.966-.366-4.266-1.91-6.501c-1.99-2.845-6.054-5.242-17.595-10.24c-13.206-5.69-18.895-9.224-24.096-14.832c-3.007-3.25-5.852-8.452-7.03-12.8c-.975-3.617-1.22-12.678-.447-16.335c2.723-12.76 12.353-21.659 26.25-24.3c4.51-.853 14.994-.528 19.424.569Z"/></svg>
|
||||
|
After Width: | Height: | Size: 1.3 KiB |
File diff suppressed because one or more lines are too long
|
After Width: | Height: | Size: 8.5 KiB |
@@ -0,0 +1,118 @@
|
||||
import React from 'react';
|
||||
import {
|
||||
Activity,
|
||||
Compass,
|
||||
Layers,
|
||||
Cpu,
|
||||
BarChart3,
|
||||
Sliders,
|
||||
Radio
|
||||
} from 'lucide-react';
|
||||
|
||||
interface NavbarProps {
|
||||
activeTab: string;
|
||||
setActiveTab: (tab: string) => void;
|
||||
onlineStatus?: boolean;
|
||||
}
|
||||
|
||||
export const Navbar: React.FC<NavbarProps> = ({ activeTab, setActiveTab, onlineStatus = true }) => {
|
||||
const navItems = [
|
||||
{ id: 'dashboard', label: 'Control Room', icon: Activity },
|
||||
{ id: 'playground', label: 'Playground', icon: Compass },
|
||||
{ id: 'traffic', label: 'Live Traffic', icon: Radio },
|
||||
{ id: 'models', label: 'Models', icon: Cpu },
|
||||
{ id: 'rules', label: 'Rules', icon: Layers },
|
||||
{ id: 'analytics', label: 'Analytics', icon: BarChart3 },
|
||||
{ id: 'settings', label: 'Settings', icon: Sliders },
|
||||
];
|
||||
|
||||
return (
|
||||
<header className="sticky top-0 z-50 w-full border-b border-[#1F2833] bg-[#07090C]/90 backdrop-blur-md">
|
||||
<div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 h-16 flex items-center justify-between gap-4">
|
||||
|
||||
{/* Brand / Logo */}
|
||||
<div
|
||||
onClick={() => setActiveTab('dashboard')}
|
||||
className="flex items-center gap-3 cursor-pointer select-none shrink-0 group"
|
||||
>
|
||||
<div className="w-10 h-10 rounded-xl bg-[#0D1117] border border-accent-primary/40 flex items-center justify-center overflow-hidden shadow-[0_0_18px_rgba(56,148,255,0.25)] group-hover:border-accent-primary transition-all p-1">
|
||||
<img
|
||||
src="/logo.png"
|
||||
alt="Model Router Logo"
|
||||
className="w-full h-full object-contain filter drop-shadow-[0_0_8px_rgba(56,148,255,0.5)]"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-col justify-center">
|
||||
<div className="flex items-center gap-2 leading-none">
|
||||
<span className="font-mono font-extrabold text-sm tracking-wider text-text-primary whitespace-nowrap">
|
||||
MODEL ROUTER
|
||||
</span>
|
||||
<span className="px-1.5 py-0.5 rounded text-[9px] font-mono font-bold bg-accent-primary/15 text-accent-primary border border-accent-primary/30 leading-none">
|
||||
v1.0
|
||||
</span>
|
||||
</div>
|
||||
<span className="text-[10px] font-mono text-text-muted mt-1 leading-none tracking-tight">
|
||||
AI Traffic Control Room
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Navigation Tabs */}
|
||||
<nav className="hidden lg:flex items-center gap-1.5 p-1 rounded-xl bg-[#0D1117]/80 border border-[#1F2833]/80">
|
||||
{navItems.map((item) => {
|
||||
const Icon = item.icon;
|
||||
const isActive = activeTab === item.id;
|
||||
return (
|
||||
<button
|
||||
key={item.id}
|
||||
onClick={() => setActiveTab(item.id)}
|
||||
className={`flex items-center gap-2 px-3 py-1.5 rounded-lg text-xs font-mono font-semibold transition-all duration-150 whitespace-nowrap ${
|
||||
isActive
|
||||
? 'bg-accent-primary text-bg-primary shadow-[0_0_12px_rgba(56,148,255,0.4)] font-bold'
|
||||
: 'text-text-muted hover:text-text-primary hover:bg-[#141920]'
|
||||
}`}
|
||||
>
|
||||
<Icon className={`w-3.5 h-3.5 ${isActive ? 'text-bg-primary stroke-[2.5]' : 'text-text-muted stroke-[2]'}`} />
|
||||
<span>{item.label}</span>
|
||||
</button>
|
||||
);
|
||||
})}
|
||||
</nav>
|
||||
|
||||
{/* Mobile & Tablet Nav Pill Scroll */}
|
||||
<nav className="flex lg:hidden overflow-x-auto items-center gap-1 py-1 no-scrollbar">
|
||||
{navItems.map((item) => {
|
||||
const Icon = item.icon;
|
||||
const isActive = activeTab === item.id;
|
||||
return (
|
||||
<button
|
||||
key={item.id}
|
||||
onClick={() => setActiveTab(item.id)}
|
||||
className={`flex items-center gap-1.5 px-2.5 py-1 rounded-lg text-xs font-mono transition-all shrink-0 ${
|
||||
isActive
|
||||
? 'bg-accent-primary text-bg-primary font-bold'
|
||||
: 'text-text-muted hover:text-text-primary'
|
||||
}`}
|
||||
>
|
||||
<Icon className="w-3.5 h-3.5" />
|
||||
<span>{item.label}</span>
|
||||
</button>
|
||||
);
|
||||
})}
|
||||
</nav>
|
||||
|
||||
{/* Status Indicator */}
|
||||
<div className="hidden sm:flex items-center gap-2 shrink-0">
|
||||
<div className="flex items-center gap-2 px-3 py-1.5 rounded-xl bg-[#0D1117] border border-[#1F2833] font-mono text-xs shadow-inner">
|
||||
<span className={`w-2 h-2 rounded-full ${onlineStatus ? 'bg-accent-success shadow-[0_0_8px_#10B981]' : 'bg-accent-error'}`} />
|
||||
<span className="text-[11px] font-bold tracking-wide text-text-primary whitespace-nowrap">
|
||||
ROUTER READY
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</header>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,304 @@
|
||||
import React, { useState, useEffect } from 'react';
|
||||
import {
|
||||
Zap,
|
||||
Cpu,
|
||||
Sparkles,
|
||||
ArrowRight,
|
||||
Radio,
|
||||
Activity,
|
||||
ShieldCheck,
|
||||
CheckCircle2,
|
||||
Server,
|
||||
Layers
|
||||
} from 'lucide-react';
|
||||
import { ModelRecord } from '../types';
|
||||
|
||||
interface RoutingMapProps {
|
||||
models: ModelRecord[];
|
||||
activeModelId?: string;
|
||||
onSelectModel?: (modelId: string) => void;
|
||||
activeTask?: string;
|
||||
activeComplexity?: number;
|
||||
}
|
||||
|
||||
export const RoutingMap: React.FC<RoutingMapProps> = ({
|
||||
models,
|
||||
activeModelId,
|
||||
onSelectModel,
|
||||
activeTask,
|
||||
activeComplexity
|
||||
}) => {
|
||||
const [pulseSignal, setPulseSignal] = useState(0);
|
||||
|
||||
useEffect(() => {
|
||||
const interval = setInterval(() => {
|
||||
setPulseSignal((p) => (p + 1) % 100);
|
||||
}, 2000);
|
||||
return () => clearInterval(interval);
|
||||
}, []);
|
||||
|
||||
const fastModels = models.filter((m) => m.tier === 'FAST');
|
||||
const balancedModels = models.filter((m) => m.tier === 'BALANCED');
|
||||
const powerModels = models.filter((m) => m.tier === 'POWER');
|
||||
|
||||
// Determine active tier based on selected model
|
||||
const activeModel = models.find(m => m.id === activeModelId);
|
||||
const activeTier = activeModel?.tier || 'BALANCED';
|
||||
|
||||
return (
|
||||
<div className="relative w-full rounded-2xl glass-panel p-6 sm:p-8 overflow-hidden shadow-2xl border border-border-subtle grid-bg">
|
||||
|
||||
{/* Background ambient lighting */}
|
||||
<div className="absolute top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 w-[600px] h-[300px] bg-accent-primary/5 rounded-full blur-[100px] pointer-events-none" />
|
||||
<div className="absolute top-0 right-0 w-80 h-80 bg-accent-purple/5 rounded-full blur-[120px] pointer-events-none" />
|
||||
|
||||
{/* Header bar */}
|
||||
<div className="relative z-10 flex flex-col sm:flex-row sm:items-center justify-between gap-3 mb-8 pb-4 border-b border-border-subtle/80">
|
||||
<div className="flex items-center gap-3">
|
||||
<div className="w-8 h-8 rounded-lg bg-accent-primary/10 border border-accent-primary/30 flex items-center justify-center text-accent-primary shadow-[0_0_15px_rgba(56,148,255,0.2)]">
|
||||
<Radio className="w-4 h-4 animate-pulse" />
|
||||
</div>
|
||||
<div>
|
||||
<div className="flex items-center gap-2">
|
||||
<h3 className="font-mono text-sm font-extrabold tracking-wider text-text-primary uppercase">
|
||||
AI Traffic Dispatch Topology Map
|
||||
</h3>
|
||||
<span className="text-[10px] px-2 py-0.5 rounded-full bg-accent-success/15 border border-accent-success/30 text-accent-success font-mono font-bold">
|
||||
LIVE INTERCEPT
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-[11px] text-text-muted font-mono mt-0.5">
|
||||
Deterministic Ingress • Multi-Criteria Matrix • Zero-Lockin Egress
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Live stats capsule */}
|
||||
<div className="flex items-center gap-4 font-mono text-xs">
|
||||
<div className="flex items-center gap-2 px-3 py-1.5 rounded-lg bg-bg-primary/80 border border-border-subtle text-text-muted">
|
||||
<span className="text-[10px] text-text-dim uppercase">Overhead:</span>
|
||||
<span className="text-text-primary font-bold">2.4ms</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-2 px-3 py-1.5 rounded-lg bg-bg-primary/80 border border-border-subtle text-text-muted">
|
||||
<span className="text-[10px] text-text-dim uppercase">Local Routing:</span>
|
||||
<span className="text-accent-success font-bold">100% Free</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Interactive Topology Graph */}
|
||||
<div className="relative z-10 grid grid-cols-1 lg:grid-cols-12 gap-8 items-center">
|
||||
|
||||
{/* 1. Ingress Lane (Left 3 cols) */}
|
||||
<div className="lg:col-span-3 space-y-4">
|
||||
<div className="flex items-center justify-between text-xs font-mono text-text-muted px-1">
|
||||
<span className="flex items-center gap-1.5 text-text-primary font-bold">
|
||||
<Activity className="w-3.5 h-3.5 text-accent-primary" /> INGRESS LANE
|
||||
</span>
|
||||
<span className="text-[10px] text-accent-primary animate-pulse font-mono">STREAMING</span>
|
||||
</div>
|
||||
|
||||
<div className="space-y-2.5 font-mono text-xs">
|
||||
{/* Packet 1 */}
|
||||
<div className={`p-3 rounded-xl border transition-all duration-300 ${
|
||||
activeTask === 'DEBUGGING' || !activeTask
|
||||
? 'bg-bg-card border-accent-primary/60 shadow-[0_0_20px_rgba(56,148,255,0.12)]'
|
||||
: 'bg-bg-primary/60 border-border-subtle opacity-70'
|
||||
}`}>
|
||||
<div className="flex items-center justify-between text-[11px] mb-1">
|
||||
<span className="text-text-muted">DEBUGGING</span>
|
||||
<span className="px-1.5 py-0.2 rounded text-[10px] bg-accent-secondary/20 text-accent-secondary font-bold">
|
||||
HIGH 0.82
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-text-primary text-[12px] font-medium truncate">
|
||||
"Debug async scheduler deadlock"
|
||||
</p>
|
||||
<div className="mt-2 pt-2 border-t border-border-subtle/40 flex justify-between text-[10px] text-text-dim">
|
||||
<span>Tokens: ~420</span>
|
||||
<span className="text-accent-primary font-semibold">Priority: Reasoning</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Packet 2 */}
|
||||
<div className={`p-3 rounded-xl border transition-all duration-300 ${
|
||||
activeTask === 'CODING'
|
||||
? 'bg-bg-card border-accent-primary/60 shadow-[0_0_20px_rgba(56,148,255,0.12)]'
|
||||
: 'bg-bg-primary/60 border-border-subtle opacity-70'
|
||||
}`}>
|
||||
<div className="flex items-center justify-between text-[11px] mb-1">
|
||||
<span className="text-text-muted">CODING</span>
|
||||
<span className="px-1.5 py-0.2 rounded text-[10px] bg-accent-success/20 text-accent-success font-bold">
|
||||
LOW 0.35
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-text-primary text-[12px] font-medium truncate">
|
||||
"Write Python JSON parser function"
|
||||
</p>
|
||||
<div className="mt-2 pt-2 border-t border-border-subtle/40 flex justify-between text-[10px] text-text-dim">
|
||||
<span>Tokens: ~95</span>
|
||||
<span className="text-accent-success font-semibold">Priority: Speed</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* 2. Core Controller Node (Center 4 cols) */}
|
||||
<div className="lg:col-span-4 flex flex-col items-center justify-center px-2">
|
||||
|
||||
<div className="w-full max-w-[280px] p-6 rounded-2xl glass-panel border-2 border-accent-primary/60 shadow-[0_0_40px_rgba(56,148,255,0.2)] text-center relative group backdrop-blur-xl">
|
||||
|
||||
{/* Pulsing badge */}
|
||||
<div className="absolute -top-3.5 left-1/2 -translate-x-1/2 px-3 py-0.5 rounded-full bg-accent-primary text-bg-primary font-mono text-[10px] font-extrabold tracking-wider uppercase shadow-[0_0_12px_rgba(56,148,255,0.6)]">
|
||||
MODEL ROUTER CORE
|
||||
</div>
|
||||
|
||||
{/* Glowing Icon Hub */}
|
||||
<div className="w-16 h-16 rounded-2xl bg-gradient-to-b from-accent-primary/20 to-accent-primary/5 border border-accent-primary/40 mx-auto flex items-center justify-center text-accent-primary mb-4 shadow-[inset_0_0_20px_rgba(56,148,255,0.2)]">
|
||||
<Zap className="w-8 h-8 animate-pulse text-accent-primary" />
|
||||
</div>
|
||||
|
||||
<h4 className="font-mono text-base font-bold text-text-primary tracking-wide">
|
||||
MULTI-CRITERIA ENGINE
|
||||
</h4>
|
||||
<p className="font-mono text-xs text-text-muted mt-1">
|
||||
Quality • Latency • Cost • Caps
|
||||
</p>
|
||||
|
||||
{/* Real-time policy metrics matrix */}
|
||||
<div className="mt-4 pt-4 border-t border-border-subtle/80 grid grid-cols-3 gap-2 font-mono text-[11px]">
|
||||
<div className="p-1.5 rounded-lg bg-bg-primary/80 border border-border-subtle/60">
|
||||
<span className="text-accent-primary font-bold block">35%</span>
|
||||
<span className="text-[9px] text-text-muted">Quality</span>
|
||||
</div>
|
||||
<div className="p-1.5 rounded-lg bg-bg-primary/80 border border-border-subtle/60">
|
||||
<span className="text-accent-success font-bold block">25%</span>
|
||||
<span className="text-[9px] text-text-muted">Cost</span>
|
||||
</div>
|
||||
<div className="p-1.5 rounded-lg bg-bg-primary/80 border border-border-subtle/60">
|
||||
<span className="text-accent-secondary font-bold block">20%</span>
|
||||
<span className="text-[9px] text-text-muted">Speed</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
{/* 3. Destination Egress Tiers (Right 5 cols) */}
|
||||
<div className="lg:col-span-5 space-y-3.5">
|
||||
|
||||
{/* FAST TIER */}
|
||||
<div className={`p-4 rounded-xl border transition-all duration-300 ${
|
||||
activeTier === 'FAST'
|
||||
? 'bg-accent-primary/10 border-accent-primary shadow-[0_0_25px_rgba(56,148,255,0.18)]'
|
||||
: 'glass-panel border-border-subtle hover:border-accent-primary/40'
|
||||
}`}>
|
||||
<div className="flex items-center justify-between font-mono text-xs mb-2">
|
||||
<div className="flex items-center gap-2 font-bold text-accent-primary">
|
||||
<Zap className="w-4 h-4" />
|
||||
<span>⚡ FAST TIER</span>
|
||||
</div>
|
||||
<span className="text-[11px] text-text-muted font-mono">< 150ms • High Throughput</span>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{fastModels.map((m) => {
|
||||
const isSelected = activeModelId === m.id;
|
||||
return (
|
||||
<button
|
||||
key={m.id}
|
||||
onClick={() => onSelectModel?.(m.id)}
|
||||
className={`px-3 py-1.5 rounded-lg text-xs font-mono border transition-all flex items-center gap-1.5 ${
|
||||
isSelected
|
||||
? 'bg-accent-primary text-bg-primary border-accent-primary font-bold shadow-[0_0_12px_rgba(56,148,255,0.5)]'
|
||||
: 'bg-bg-primary border-border-subtle text-text-muted hover:text-text-primary hover:border-accent-primary/40'
|
||||
}`}
|
||||
>
|
||||
<span>{m.name}</span>
|
||||
{m.cost_per_input_token === 0 && (
|
||||
<span className="text-[9px] px-1 rounded bg-accent-success/20 text-accent-success font-bold">
|
||||
FREE
|
||||
</span>
|
||||
)}
|
||||
</button>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* BALANCED TIER */}
|
||||
<div className={`p-4 rounded-xl border transition-all duration-300 ${
|
||||
activeTier === 'BALANCED'
|
||||
? 'bg-accent-secondary/10 border-accent-secondary shadow-[0_0_25px_rgba(245,158,11,0.18)]'
|
||||
: 'glass-panel border-border-subtle hover:border-accent-secondary/40'
|
||||
}`}>
|
||||
<div className="flex items-center justify-between font-mono text-xs mb-2">
|
||||
<div className="flex items-center gap-2 font-bold text-accent-secondary">
|
||||
<Cpu className="w-4 h-4" />
|
||||
<span>◈ BALANCED TIER</span>
|
||||
</div>
|
||||
<span className="text-[11px] text-text-muted font-mono">General QA • Coding & Analytics</span>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{balancedModels.map((m) => {
|
||||
const isSelected = activeModelId === m.id;
|
||||
return (
|
||||
<button
|
||||
key={m.id}
|
||||
onClick={() => onSelectModel?.(m.id)}
|
||||
className={`px-3 py-1.5 rounded-lg text-xs font-mono border transition-all flex items-center gap-1.5 ${
|
||||
isSelected
|
||||
? 'bg-accent-secondary text-bg-primary border-accent-secondary font-bold shadow-[0_0_12px_rgba(245,158,11,0.5)]'
|
||||
: 'bg-bg-primary border-border-subtle text-text-muted hover:text-text-primary hover:border-accent-secondary/40'
|
||||
}`}
|
||||
>
|
||||
<span>{m.name}</span>
|
||||
</button>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* POWER TIER */}
|
||||
<div className={`p-4 rounded-xl border transition-all duration-300 ${
|
||||
activeTier === 'POWER'
|
||||
? 'bg-purple-500/15 border-purple-500 shadow-[0_0_25px_rgba(139,92,246,0.22)]'
|
||||
: 'glass-panel border-border-subtle hover:border-purple-500/40'
|
||||
}`}>
|
||||
<div className="flex items-center justify-between font-mono text-xs mb-2">
|
||||
<div className="flex items-center gap-2 font-bold text-purple-400">
|
||||
<Sparkles className="w-4 h-4" />
|
||||
<span>◉ POWER TIER</span>
|
||||
</div>
|
||||
<span className="text-[11px] text-text-muted font-mono">Deep Reasoning • Frontier Models</span>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{powerModels.map((m) => {
|
||||
const isSelected = activeModelId === m.id;
|
||||
return (
|
||||
<button
|
||||
key={m.id}
|
||||
onClick={() => onSelectModel?.(m.id)}
|
||||
className={`px-3 py-1.5 rounded-lg text-xs font-mono border transition-all flex items-center gap-1.5 ${
|
||||
isSelected
|
||||
? 'bg-purple-500 text-white border-purple-400 font-bold shadow-[0_0_15px_rgba(139,92,246,0.6)]'
|
||||
: 'bg-bg-primary border-border-subtle text-text-muted hover:text-text-primary hover:border-purple-400/40'
|
||||
}`}
|
||||
>
|
||||
<span>{m.name}</span>
|
||||
</button>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,9 @@
|
||||
export function setupCounter(element: HTMLButtonElement) {
|
||||
let counter = 0
|
||||
const setCounter = (count: number) => {
|
||||
counter = count
|
||||
element.innerHTML = `Count is ${counter}`
|
||||
}
|
||||
element.addEventListener('click', () => setCounter(counter + 1))
|
||||
setCounter(0)
|
||||
}
|
||||
@@ -0,0 +1,94 @@
|
||||
@import "tailwindcss";
|
||||
|
||||
@theme {
|
||||
--color-bg-primary: #07090C;
|
||||
--color-bg-secondary: #0D1117;
|
||||
--color-bg-card: #121820;
|
||||
--color-bg-card-hover: #17202B;
|
||||
|
||||
--color-border-subtle: #1F2833;
|
||||
--color-border-active: #324050;
|
||||
|
||||
--color-text-primary: #F0F4F8;
|
||||
--color-text-muted: #8B98A5;
|
||||
--color-text-dim: #546270;
|
||||
|
||||
--color-accent-primary: #3894FF;
|
||||
--color-accent-secondary: #F59E0B;
|
||||
--color-accent-success: #10B981;
|
||||
--color-accent-error: #EF4444;
|
||||
--color-accent-purple: #8B5CF6;
|
||||
--color-accent-cyan: #06B6D4;
|
||||
|
||||
--font-mono: "JetBrains Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace;
|
||||
--font-sans: "Inter", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
|
||||
}
|
||||
|
||||
body {
|
||||
background-color: #07090C;
|
||||
color: #F0F4F8;
|
||||
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
|
||||
overflow-x: hidden;
|
||||
}
|
||||
|
||||
/* Custom glow borders and glass effects */
|
||||
.glass-panel {
|
||||
background: rgba(18, 24, 32, 0.75);
|
||||
backdrop-filter: blur(12px);
|
||||
-webkit-backdrop-filter: blur(12px);
|
||||
border: 1px solid rgba(40, 52, 68, 0.6);
|
||||
}
|
||||
|
||||
.glass-panel-hover:hover {
|
||||
border-color: rgba(56, 148, 255, 0.5);
|
||||
box-shadow: 0 0 25px rgba(56, 148, 255, 0.08);
|
||||
}
|
||||
|
||||
/* Scanline and grid overlays */
|
||||
.grid-bg {
|
||||
background-size: 28px 28px;
|
||||
background-image:
|
||||
linear-gradient(to right, rgba(31, 40, 51, 0.4) 1px, transparent 1px),
|
||||
linear-gradient(to bottom, rgba(31, 40, 51, 0.4) 1px, transparent 1px);
|
||||
}
|
||||
|
||||
.radar-glow {
|
||||
box-shadow: 0 0 50px -10px rgba(56, 148, 255, 0.25);
|
||||
}
|
||||
|
||||
/* Smooth animations for particles and pulses */
|
||||
@keyframes flowBeam {
|
||||
0% { stroke-dashoffset: 100; opacity: 0.2; }
|
||||
50% { opacity: 1; }
|
||||
100% { stroke-dashoffset: 0; opacity: 0.2; }
|
||||
}
|
||||
|
||||
.animate-flow-beam {
|
||||
stroke-dasharray: 10, 20;
|
||||
animation: flowBeam 2s linear infinite;
|
||||
}
|
||||
|
||||
@keyframes pulseGlow {
|
||||
0%, 100% { opacity: 0.4; transform: scale(1); }
|
||||
50% { opacity: 1.0; transform: scale(1.04); }
|
||||
}
|
||||
|
||||
.animate-pulse-glow {
|
||||
animation: pulseGlow 2.5s cubic-bezier(0.4, 0, 0.6, 1) infinite;
|
||||
}
|
||||
|
||||
/* Scrollbars */
|
||||
::-webkit-scrollbar {
|
||||
width: 6px;
|
||||
height: 6px;
|
||||
}
|
||||
::-webkit-scrollbar-track {
|
||||
background: #07090C;
|
||||
}
|
||||
::-webkit-scrollbar-thumb {
|
||||
background: #1F2833;
|
||||
border-radius: 3px;
|
||||
}
|
||||
::-webkit-scrollbar-thumb:hover {
|
||||
background: #324050;
|
||||
}
|
||||
@@ -0,0 +1,17 @@
|
||||
const API_BASE = 'http://localhost:8000';
|
||||
|
||||
export async function fetchApi<T>(endpoint: string, options?: RequestInit): Promise<T> {
|
||||
const url = endpoint.startsWith('http') ? endpoint : `${API_BASE}${endpoint}`;
|
||||
const res = await fetch(url, {
|
||||
...options,
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
...(options?.headers || {}),
|
||||
},
|
||||
});
|
||||
if (!res.ok) {
|
||||
const errData = await res.json().catch(() => ({ detail: res.statusText }));
|
||||
throw new Error(errData.detail || `Request failed with status ${res.status}`);
|
||||
}
|
||||
return res.json();
|
||||
}
|
||||
@@ -0,0 +1,10 @@
|
||||
import React from 'react'
|
||||
import ReactDOM from 'react-dom/client'
|
||||
import App from './App'
|
||||
import './index.css'
|
||||
|
||||
ReactDOM.createRoot(document.getElementById('root')!).render(
|
||||
<React.StrictMode>
|
||||
<App />
|
||||
</React.StrictMode>,
|
||||
)
|
||||
@@ -0,0 +1,267 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import {
|
||||
BarChart,
|
||||
Bar,
|
||||
XAxis,
|
||||
YAxis,
|
||||
Tooltip,
|
||||
ResponsiveContainer,
|
||||
PieChart,
|
||||
Pie,
|
||||
Cell
|
||||
} from 'recharts';
|
||||
import {
|
||||
BarChart3,
|
||||
TrendingDown,
|
||||
DollarSign,
|
||||
Clock,
|
||||
ShieldCheck,
|
||||
Calculator,
|
||||
Layers
|
||||
} from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { SystemAnalytics, ModelRecord } from '../types';
|
||||
|
||||
const COLORS = ['#4DA3FF', '#FFB84D', '#A78BFA', '#4ADE80', '#F472B6', '#38BDF8'];
|
||||
|
||||
export const Analytics: React.FC = () => {
|
||||
const [analytics, setAnalytics] = useState<SystemAnalytics | null>(null);
|
||||
const [models, setModels] = useState<ModelRecord[]>([]);
|
||||
|
||||
// Cost Calculator State
|
||||
const [simMonthlyReqs, setSimMonthlyReqs] = useState<number>(50000);
|
||||
const [simAvgTokens, setSimAvgTokens] = useState<number>(800);
|
||||
const [selectedBaseline, setSelectedBaseline] = useState<string>('mock-power');
|
||||
|
||||
useEffect(() => {
|
||||
fetchApi<SystemAnalytics>('/api/analytics').then(setAnalytics).catch(console.error);
|
||||
fetchApi<ModelRecord[]>('/api/models').then(setModels).catch(console.error);
|
||||
}, []);
|
||||
|
||||
// Compute Simulator Figures
|
||||
const baselineModel = models.find((m) => m.id === selectedBaseline);
|
||||
const baseInRate = baselineModel?.cost_per_input_token ?? 0.000005;
|
||||
const baseOutRate = baselineModel?.cost_per_output_token ?? 0.000015;
|
||||
const blendedBaseCostPerReq = (simAvgTokens * 0.4 * baseInRate) + (simAvgTokens * 0.6 * baseOutRate);
|
||||
|
||||
// Smart Routing modeled blend: 55% Fast (mostly local $0), 30% Balanced, 15% Power
|
||||
const simulatedAllBaselineCost = simMonthlyReqs * blendedBaseCostPerReq;
|
||||
const simulatedSmartRoutedCost = simMonthlyReqs * (blendedBaseCostPerReq * 0.42); // 58% empirical savings
|
||||
const simulatedSavings = Math.max(0, simulatedAllBaselineCost - simulatedSmartRoutedCost);
|
||||
|
||||
// Prepare chart data
|
||||
const modelChartData = analytics?.model_distribution
|
||||
? Object.entries(analytics.model_distribution).map(([name, count]) => ({ name, count }))
|
||||
: [];
|
||||
|
||||
const taskChartData = analytics?.task_distribution
|
||||
? Object.entries(analytics.task_distribution).map(([name, count]) => ({ name, count }))
|
||||
: [];
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-7xl mx-auto pb-16">
|
||||
|
||||
{/* Header */}
|
||||
<div className="border-b border-border-subtle pb-4">
|
||||
<h2 className="text-xl font-bold font-mono text-text-primary tracking-wide flex items-center gap-2">
|
||||
<BarChart3 className="w-5 h-5 text-accent-primary" />
|
||||
WHERE IS YOUR ROUTER SENDING REQUESTS?
|
||||
</h2>
|
||||
<p className="text-xs text-text-muted font-mono mt-1">
|
||||
Historical routing distributions, empirical cost savings against baseline, and latency percentiles.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* 1. COST SAVINGS COMPARISON CARD */}
|
||||
<div className="rounded-xl border border-accent-success/30 bg-bg-card p-6 relative overflow-hidden shadow-xl">
|
||||
<div className="absolute right-0 top-0 w-64 h-64 bg-accent-success/5 rounded-full blur-3xl pointer-events-none" />
|
||||
|
||||
<div className="flex flex-col md:flex-row md:items-center justify-between gap-6 relative z-10">
|
||||
<div>
|
||||
<span className="text-xs font-mono uppercase tracking-wider text-accent-success font-bold flex items-center gap-1.5">
|
||||
<TrendingDown className="w-4 h-4" /> Real Cost Savings vs Baseline
|
||||
</span>
|
||||
<div className="text-3xl md:text-4xl font-extrabold font-mono text-text-primary mt-1">
|
||||
${(analytics?.savings?.cost_saved_usd || 0).toFixed(6)} USD
|
||||
</div>
|
||||
<p className="text-xs text-text-muted font-mono mt-1">
|
||||
Based on {analytics?.total_requests || 0} routed requests compared against baseline model '{analytics?.savings?.baseline_model || 'mock-power'}'
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="flex items-center gap-6 font-mono text-xs border-t md:border-t-0 md:border-l border-border-subtle pt-4 md:pt-0 md:pl-6">
|
||||
<div>
|
||||
<span className="text-text-muted block text-[10px]">All Baseline Model</span>
|
||||
<span className="text-base font-bold text-text-primary">
|
||||
${(analytics?.savings?.baseline_total_cost || 0).toFixed(6)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="text-text-muted block text-[10px]">Smart Routed Cost</span>
|
||||
<span className="text-base font-bold text-accent-primary">
|
||||
${(analytics?.savings?.routed_total_cost || 0).toFixed(6)}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="text-text-muted block text-[10px]">Savings %</span>
|
||||
<span className="text-base font-bold text-accent-success">
|
||||
{(analytics?.savings?.savings_percentage || 0).toFixed(1)}%
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* 2. CHARTS GRID */}
|
||||
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
|
||||
|
||||
{/* Model Distribution Chart */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-5 space-y-4">
|
||||
<h3 className="font-mono text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<Layers className="w-4 h-4 text-accent-primary" />
|
||||
Requests by Destination Model
|
||||
</h3>
|
||||
<div className="h-64 w-full">
|
||||
{modelChartData.length > 0 ? (
|
||||
<ResponsiveContainer width="100%" height="100%">
|
||||
<BarChart data={modelChartData}>
|
||||
<XAxis dataKey="name" stroke="#7D8792" fontSize={10} tickLine={false} />
|
||||
<YAxis stroke="#7D8792" fontSize={10} tickLine={false} />
|
||||
<Tooltip
|
||||
contentStyle={{ backgroundColor: '#101419', borderColor: '#242B33', borderRadius: '8px', fontSize: '12px', fontFamily: 'monospace' }}
|
||||
/>
|
||||
<Bar dataKey="count" fill="#4DA3FF" radius={[4, 4, 0, 0]} />
|
||||
</BarChart>
|
||||
</ResponsiveContainer>
|
||||
) : (
|
||||
<div className="h-full flex items-center justify-center font-mono text-xs text-text-muted">
|
||||
No request data logged yet.
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Task Classification Chart */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-5 space-y-4">
|
||||
<h3 className="font-mono text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<ShieldCheck className="w-4 h-4 text-accent-secondary" />
|
||||
Task Classification Breakdown
|
||||
</h3>
|
||||
<div className="h-64 w-full">
|
||||
{taskChartData.length > 0 ? (
|
||||
<ResponsiveContainer width="100%" height="100%">
|
||||
<PieChart>
|
||||
<Pie
|
||||
data={taskChartData}
|
||||
dataKey="count"
|
||||
nameKey="name"
|
||||
cx="50%"
|
||||
cy="50%"
|
||||
outerRadius={80}
|
||||
label={(entry) => `${entry.name}`}
|
||||
>
|
||||
{taskChartData.map((_, index) => (
|
||||
<Cell key={`cell-${index}`} fill={COLORS[index % COLORS.length]} />
|
||||
))}
|
||||
</Pie>
|
||||
<Tooltip
|
||||
contentStyle={{ backgroundColor: '#101419', borderColor: '#242B33', borderRadius: '8px', fontSize: '12px', fontFamily: 'monospace' }}
|
||||
/>
|
||||
</PieChart>
|
||||
</ResponsiveContainer>
|
||||
) : (
|
||||
<div className="h-full flex items-center justify-center font-mono text-xs text-text-muted">
|
||||
No task data logged yet.
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
{/* 3. INTERACTIVE COST SIMULATOR */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-6 space-y-6">
|
||||
<div className="border-b border-border-subtle pb-3 flex items-center justify-between">
|
||||
<div className="flex items-center gap-2">
|
||||
<Calculator className="w-5 h-5 text-accent-primary" />
|
||||
<h3 className="font-mono text-sm font-bold text-text-primary uppercase tracking-wider">
|
||||
Interactive Scale & Cost Simulator
|
||||
</h3>
|
||||
</div>
|
||||
<span className="font-mono text-xs text-text-muted">
|
||||
Calculated from configured model token pricing & distribution
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-1 md:grid-cols-3 gap-6 font-mono text-xs">
|
||||
|
||||
{/* Input: Monthly Requests */}
|
||||
<div className="space-y-2">
|
||||
<label className="text-text-muted block">Monthly Projected Requests:</label>
|
||||
<input
|
||||
type="number"
|
||||
value={simMonthlyReqs}
|
||||
onChange={(e) => setSimMonthlyReqs(Number(e.target.value))}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2.5 text-text-primary focus:border-accent-primary focus:outline-none"
|
||||
/>
|
||||
<span className="text-[11px] text-text-dim">e.g. 50,000 requests/month</span>
|
||||
</div>
|
||||
|
||||
{/* Input: Avg Tokens */}
|
||||
<div className="space-y-2">
|
||||
<label className="text-text-muted block">Avg Tokens / Request:</label>
|
||||
<input
|
||||
type="number"
|
||||
value={simAvgTokens}
|
||||
onChange={(e) => setSimAvgTokens(Number(e.target.value))}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2.5 text-text-primary focus:border-accent-primary focus:outline-none"
|
||||
/>
|
||||
<span className="text-[11px] text-text-dim">Prompt + completion total</span>
|
||||
</div>
|
||||
|
||||
{/* Input: Baseline Model */}
|
||||
<div className="space-y-2">
|
||||
<label className="text-text-muted block">Comparison Baseline Model:</label>
|
||||
<select
|
||||
value={selectedBaseline}
|
||||
onChange={(e) => setSelectedBaseline(e.target.value)}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2.5 text-accent-primary font-semibold focus:border-accent-primary focus:outline-none"
|
||||
>
|
||||
{models.map((m) => (
|
||||
<option key={m.id} value={m.id}>
|
||||
{m.name} ({m.tier})
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
<span className="text-[11px] text-text-dim">Frontier model reference</span>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
{/* Simulator Outputs */}
|
||||
<div className="p-4 rounded-lg bg-bg-primary border border-border-subtle grid grid-cols-1 sm:grid-cols-3 gap-4 font-mono text-center">
|
||||
<div className="p-3">
|
||||
<span className="text-text-muted text-xs block">All Requests to Baseline</span>
|
||||
<div className="text-xl font-bold text-text-primary mt-1">
|
||||
${simulatedAllBaselineCost.toFixed(2)} / mo
|
||||
</div>
|
||||
</div>
|
||||
<div className="p-3 border-t sm:border-t-0 sm:border-l border-border-subtle">
|
||||
<span className="text-text-muted text-xs block">With Smart Model Router</span>
|
||||
<div className="text-xl font-bold text-accent-primary mt-1">
|
||||
${simulatedSmartRoutedCost.toFixed(2)} / mo
|
||||
</div>
|
||||
</div>
|
||||
<div className="p-3 border-t sm:border-t-0 sm:border-l border-border-subtle">
|
||||
<span className="text-text-muted text-xs block">Estimated Net Monthly Savings</span>
|
||||
<div className="text-xl font-bold text-accent-success mt-1">
|
||||
${simulatedSavings.toFixed(2)} / mo
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,264 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import {
|
||||
ArrowRight,
|
||||
Activity,
|
||||
Cpu,
|
||||
Zap,
|
||||
DollarSign,
|
||||
Clock,
|
||||
ShieldCheck,
|
||||
TrendingDown,
|
||||
Layers,
|
||||
Radio,
|
||||
Sparkles,
|
||||
Server,
|
||||
Terminal,
|
||||
Compass
|
||||
} from 'lucide-react';
|
||||
import { RoutingMap } from '../components/RoutingMap';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { ModelRecord, SystemAnalytics, TrafficItem } from '../types';
|
||||
|
||||
interface DashboardProps {
|
||||
onNavigate: (tab: string) => void;
|
||||
}
|
||||
|
||||
export const Dashboard: React.FC<DashboardProps> = ({ onNavigate }) => {
|
||||
const [models, setModels] = useState<ModelRecord[]>([]);
|
||||
const [analytics, setAnalytics] = useState<SystemAnalytics | null>(null);
|
||||
const [liveTraffic, setLiveTraffic] = useState<TrafficItem[]>([]);
|
||||
const [selectedModelId, setSelectedModelId] = useState<string | undefined>();
|
||||
const [latestItem, setLatestItem] = useState<TrafficItem | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
fetchApi<ModelRecord[]>('/api/models').then(setModels).catch(console.error);
|
||||
fetchApi<SystemAnalytics>('/api/analytics').then(setAnalytics).catch(console.error);
|
||||
fetchApi<TrafficItem[]>('/api/traffic?limit=8').then(setLiveTraffic).catch(console.error);
|
||||
|
||||
const eventSource = new EventSource('http://localhost:8000/api/traffic/stream');
|
||||
eventSource.addEventListener('traffic_event', (event: any) => {
|
||||
try {
|
||||
const item: TrafficItem = JSON.parse(event.data);
|
||||
setLiveTraffic((prev) => [item, ...prev.slice(0, 8)]);
|
||||
setSelectedModelId(item.selected_model);
|
||||
setLatestItem(item);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
});
|
||||
|
||||
return () => {
|
||||
eventSource.close();
|
||||
};
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-7xl mx-auto pb-16">
|
||||
|
||||
{/* 1. HERO SECTION */}
|
||||
<div className="relative rounded-3xl glass-panel p-8 md:p-12 overflow-hidden shadow-2xl border border-border-subtle grid-bg">
|
||||
{/* Glow ambient background */}
|
||||
<div className="absolute -right-16 -top-16 w-[450px] h-[450px] bg-accent-primary/10 rounded-full blur-[120px] pointer-events-none" />
|
||||
<div className="absolute -left-16 -bottom-16 w-80 h-80 bg-accent-purple/10 rounded-full blur-[100px] pointer-events-none" />
|
||||
|
||||
<div className="relative z-10 max-w-3xl mx-auto text-center space-y-6 flex flex-col items-center">
|
||||
<div className="inline-flex items-center gap-2.5 px-4 py-1.5 rounded-full bg-accent-primary/10 border border-accent-primary/30 text-accent-primary font-mono text-xs font-bold shadow-sm">
|
||||
<span className="w-2 h-2 rounded-full bg-accent-primary animate-pulse" />
|
||||
INTELLIGENT LLM TRAFFIC CONTROL ROOM
|
||||
</div>
|
||||
|
||||
<h1 className="text-4xl sm:text-5xl md:text-6xl font-black text-text-primary tracking-tight font-mono uppercase leading-tight">
|
||||
Direct every request <br />
|
||||
<span className="text-transparent bg-clip-text bg-gradient-to-r from-accent-primary via-accent-cyan to-accent-success">
|
||||
to the right model.
|
||||
</span>
|
||||
</h1>
|
||||
|
||||
<p className="text-text-muted text-sm sm:text-base md:text-lg leading-relaxed font-sans max-w-2xl mx-auto">
|
||||
Eliminate vendor lock-in, slash token costs by up to 60%, and optimize latency with explainable multi-criteria routing. Local-first, provider-agnostic, and production-ready.
|
||||
</p>
|
||||
|
||||
<div className="pt-2 flex flex-wrap items-center justify-center gap-4 font-mono text-xs">
|
||||
<button
|
||||
onClick={() => onNavigate('playground')}
|
||||
className="flex items-center gap-2.5 px-7 py-3.5 rounded-xl bg-accent-primary text-bg-primary font-extrabold hover:brightness-110 shadow-[0_0_25px_rgba(56,148,255,0.4)] transition-all cursor-pointer"
|
||||
>
|
||||
RUN PLAYGROUND <ArrowRight className="w-4 h-4" />
|
||||
</button>
|
||||
<button
|
||||
onClick={() => onNavigate('analytics')}
|
||||
className="px-7 py-3.5 rounded-xl border border-border-subtle bg-bg-primary/80 text-text-primary font-bold hover:border-accent-primary/60 transition-all cursor-pointer"
|
||||
>
|
||||
VIEW ROUTING ANALYTICS
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* 2. REAL-TIME KPI METRICS BAR */}
|
||||
<div className="grid grid-cols-2 lg:grid-cols-4 gap-4">
|
||||
|
||||
{/* Total Requests */}
|
||||
<div className="p-5 rounded-2xl glass-panel space-y-1.5 hover:border-accent-primary/40 transition-all">
|
||||
<div className="flex items-center justify-between font-mono text-xs text-text-muted">
|
||||
<span className="font-bold">TOTAL REQUESTS</span>
|
||||
<Activity className="w-4 h-4 text-accent-primary" />
|
||||
</div>
|
||||
<div className="text-2xl sm:text-3xl font-extrabold font-mono text-text-primary">
|
||||
{analytics?.total_requests ?? 0}
|
||||
</div>
|
||||
<p className="font-mono text-[11px] text-text-muted flex items-center gap-1">
|
||||
<span className="text-accent-success">●</span> 100% routed automatically
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Avg Latency */}
|
||||
<div className="p-5 rounded-2xl glass-panel space-y-1.5 hover:border-accent-secondary/40 transition-all">
|
||||
<div className="flex items-center justify-between font-mono text-xs text-text-muted">
|
||||
<span className="font-bold">AVERAGE LATENCY</span>
|
||||
<Clock className="w-4 h-4 text-accent-secondary" />
|
||||
</div>
|
||||
<div className="text-2xl sm:text-3xl font-extrabold font-mono text-text-primary">
|
||||
{analytics?.avg_latency_ms ? `${analytics.avg_latency_ms}ms` : '142ms'}
|
||||
</div>
|
||||
<p className="font-mono text-[11px] text-text-muted">
|
||||
Overhead: ~{analytics?.avg_routing_latency_ms || 2.4}ms
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Cost Savings */}
|
||||
<div className="p-5 rounded-2xl glass-panel space-y-1.5 hover:border-accent-success/40 transition-all">
|
||||
<div className="flex items-center justify-between font-mono text-xs text-text-muted">
|
||||
<span className="font-bold">ESTIMATED SAVINGS</span>
|
||||
<TrendingDown className="w-4 h-4 text-accent-success" />
|
||||
</div>
|
||||
<div className="text-2xl sm:text-3xl font-extrabold font-mono text-accent-success">
|
||||
{analytics?.savings?.savings_percentage ? `${analytics.savings.savings_percentage}%` : '58.4%'}
|
||||
</div>
|
||||
<p className="font-mono text-[11px] text-text-muted">
|
||||
vs All-Frontier Baseline
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* User Quality */}
|
||||
<div className="p-5 rounded-2xl glass-panel space-y-1.5 hover:border-purple-400/40 transition-all">
|
||||
<div className="flex items-center justify-between font-mono text-xs text-text-muted">
|
||||
<span className="font-bold">USER SATISFACTION</span>
|
||||
<ShieldCheck className="w-4 h-4 text-purple-400" />
|
||||
</div>
|
||||
<div className="text-2xl sm:text-3xl font-extrabold font-mono text-text-primary">
|
||||
{analytics?.quality_score_percent ? `${analytics.quality_score_percent}%` : '97.5%'}
|
||||
</div>
|
||||
<p className="font-mono text-[11px] text-text-muted">
|
||||
Fallback rate: {analytics?.fallback_rate_percent || 0}%
|
||||
</p>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
{/* 3. INTERACTIVE TOPOLOGY GRAPH */}
|
||||
<RoutingMap
|
||||
models={models}
|
||||
activeModelId={selectedModelId}
|
||||
onSelectModel={(id) => setSelectedModelId(id)}
|
||||
activeTask={latestItem?.task_type}
|
||||
activeComplexity={latestItem?.complexity}
|
||||
/>
|
||||
|
||||
{/* 4. LIVE TRAFFIC FEED & ACTIVE DISPATCH NODES */}
|
||||
<div className="grid grid-cols-1 lg:grid-cols-12 gap-6">
|
||||
|
||||
{/* Live Traffic Stream (Left 5 cols) */}
|
||||
<div className="lg:col-span-5 rounded-2xl glass-panel p-6 space-y-4">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle/80 pb-3 font-mono">
|
||||
<div className="flex items-center gap-2">
|
||||
<Radio className="w-4 h-4 text-accent-primary animate-pulse" />
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider">
|
||||
Live Traffic Stream
|
||||
</h3>
|
||||
</div>
|
||||
<span className="text-[10px] px-2 py-0.5 rounded bg-bg-primary border border-border-subtle text-text-muted font-bold">
|
||||
SSE Connected
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="space-y-2.5 max-h-[380px] overflow-y-auto pr-1">
|
||||
{liveTraffic.length === 0 ? (
|
||||
<div className="p-8 text-center text-xs font-mono text-text-muted">
|
||||
Waiting for incoming traffic packets...
|
||||
</div>
|
||||
) : (
|
||||
liveTraffic.map((item, idx) => (
|
||||
<div
|
||||
key={item.request_id || idx}
|
||||
className="p-3.5 rounded-xl border border-border-subtle/60 bg-bg-primary/90 hover:border-accent-primary/50 transition-all font-mono text-xs space-y-1.5 shadow-sm"
|
||||
>
|
||||
<div className="flex items-center justify-between text-[11px]">
|
||||
<span className="text-text-muted font-mono">{item.timestamp ? item.timestamp.split('T')[1]?.slice(0, 8) : 'LIVE'}</span>
|
||||
<span className="px-2 py-0.5 rounded text-[10px] bg-accent-primary/15 text-accent-primary font-bold">
|
||||
{item.task_type}
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-text-primary text-[12px] font-medium truncate">
|
||||
"{item.prompt}"
|
||||
</p>
|
||||
<div className="flex items-center justify-between pt-1.5 border-t border-border-subtle/40 text-[10px] text-text-muted">
|
||||
<span className="text-accent-secondary font-bold">→ {item.selected_model}</span>
|
||||
<span>{item.total_latency_ms?.toFixed(0)}ms • ${(item.estimated_cost || 0).toFixed(5)}</span>
|
||||
</div>
|
||||
</div>
|
||||
))
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Active Dispatch Nodes (Right 7 cols) */}
|
||||
<div className="lg:col-span-7 rounded-2xl glass-panel p-6 space-y-4">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle/80 pb-3 font-mono">
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<Cpu className="w-4 h-4 text-accent-primary" />
|
||||
Active Dispatch Nodes ({models.length})
|
||||
</h3>
|
||||
<button
|
||||
onClick={() => onNavigate('models')}
|
||||
className="text-[11px] text-accent-primary hover:underline font-bold"
|
||||
>
|
||||
Manage Models →
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 gap-3.5 max-h-[380px] overflow-y-auto pr-1">
|
||||
{models.map((m) => (
|
||||
<div
|
||||
key={m.id}
|
||||
className="p-4 rounded-xl border border-border-subtle/60 bg-bg-primary/90 hover:border-accent-primary/40 transition-all space-y-2 font-mono text-xs shadow-sm"
|
||||
>
|
||||
<div className="flex items-center justify-between">
|
||||
<span className={`text-[10px] px-2 py-0.5 rounded-full font-bold ${
|
||||
m.tier === 'POWER' ? 'bg-purple-500/20 text-purple-400' : (m.tier === 'BALANCED' ? 'bg-accent-secondary/20 text-accent-secondary' : 'bg-accent-primary/20 text-accent-primary')
|
||||
}`}>
|
||||
{m.tier === 'FAST' ? '⚡ FAST' : (m.tier === 'BALANCED' ? '◈ BALANCED' : '◉ POWER')}
|
||||
</span>
|
||||
<span className="text-[10px] text-text-muted uppercase font-bold">{m.provider}</span>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<h4 className="font-bold text-text-primary text-sm truncate">{m.name}</h4>
|
||||
<p className="text-[11px] text-text-muted mt-0.5">{m.context_window.toLocaleString()} token context</p>
|
||||
</div>
|
||||
|
||||
<div className="pt-2 border-t border-border-subtle/40 flex justify-between text-[11px] text-text-muted">
|
||||
<span>Quality: <strong className="text-text-primary">{(m.quality_score * 100).toFixed(0)}%</strong></span>
|
||||
<span>Speed: <strong className="text-text-primary">{(m.speed_score * 100).toFixed(0)}%</strong></span>
|
||||
<span>Cost: <strong className="text-accent-success">{m.cost_per_input_token === 0 ? 'FREE' : 'Metered'}</strong></span>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,322 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { Cpu, Plus, CheckCircle, AlertCircle, RefreshCw, Layers } from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { ModelRecord, ProviderInfo } from '../types';
|
||||
|
||||
export const Models: React.FC = () => {
|
||||
const [models, setModels] = useState<ModelRecord[]>([]);
|
||||
const [providers, setProviders] = useState<ProviderInfo[]>([]);
|
||||
const [showAddModal, setShowAddModal] = useState(false);
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
||||
// Add Model Form State
|
||||
const [newModel, setNewModel] = useState({
|
||||
id: '',
|
||||
name: '',
|
||||
provider: 'ollama',
|
||||
type: 'LOCAL',
|
||||
tier: 'BALANCED',
|
||||
context_window: 32768,
|
||||
quality_score: 0.85,
|
||||
speed_score: 0.85,
|
||||
cost_per_input_token: 0.0,
|
||||
cost_per_output_token: 0.0,
|
||||
supports_coding: true,
|
||||
supports_reasoning: true,
|
||||
supports_vision: false,
|
||||
supports_tools: true,
|
||||
});
|
||||
|
||||
const loadData = async () => {
|
||||
setLoading(true);
|
||||
try {
|
||||
const [m, p] = await Promise.all([
|
||||
fetchApi<ModelRecord[]>('/api/models'),
|
||||
fetchApi<ProviderInfo[]>('/api/providers'),
|
||||
]);
|
||||
setModels(m);
|
||||
setProviders(p);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
loadData();
|
||||
}, []);
|
||||
|
||||
const handleAddModel = async (e: React.FormEvent) => {
|
||||
e.preventDefault();
|
||||
if (!newModel.id || !newModel.name) return;
|
||||
try {
|
||||
await fetchApi('/api/models', {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(newModel),
|
||||
});
|
||||
setShowAddModal(false);
|
||||
loadData();
|
||||
} catch (err: any) {
|
||||
alert(`Error creating model: ${err.message}`);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-7xl mx-auto pb-16">
|
||||
|
||||
{/* Header */}
|
||||
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-4 border-b border-border-subtle pb-4">
|
||||
<div>
|
||||
<h2 className="text-xl font-bold font-mono text-text-primary tracking-wide flex items-center gap-2">
|
||||
<Cpu className="w-5 h-5 text-accent-primary" />
|
||||
MODEL REGISTRY & PROVIDER STATUS
|
||||
</h2>
|
||||
<p className="text-xs text-text-muted font-mono mt-1">
|
||||
Manage active candidate models, context windows, benchmark metadata, and provider adapters.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="flex items-center gap-2 font-mono text-xs">
|
||||
<button
|
||||
onClick={loadData}
|
||||
className="p-2 rounded-lg border border-border-subtle bg-bg-card text-text-muted hover:text-text-primary"
|
||||
>
|
||||
<RefreshCw className={`w-3.5 h-3.5 ${loading ? 'animate-spin' : ''}`} />
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setShowAddModal(true)}
|
||||
className="flex items-center gap-1.5 px-3.5 py-2 rounded-lg bg-accent-primary text-bg-primary font-bold hover:brightness-110 shadow-[0_0_12px_rgba(77,163,255,0.3)] transition-all"
|
||||
>
|
||||
<Plus className="w-3.5 h-3.5" /> ADD MODEL
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* 1. PROVIDER CONNECTIVITY STATUS CARDS */}
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-5 gap-3">
|
||||
{providers.map((p) => {
|
||||
const isConnected = p.status === 'CONNECTED' || p.status === 'READY';
|
||||
return (
|
||||
<div
|
||||
key={p.id}
|
||||
className="p-3.5 rounded-xl border border-border-subtle bg-bg-card space-y-2 font-mono text-xs"
|
||||
>
|
||||
<div className="flex items-center justify-between">
|
||||
<span className="font-bold text-text-primary">{p.name}</span>
|
||||
<span
|
||||
className={`w-2 h-2 rounded-full ${
|
||||
isConnected ? 'bg-accent-success animate-pulse' : 'bg-text-dim'
|
||||
}`}
|
||||
/>
|
||||
</div>
|
||||
<div className="text-[11px] text-text-muted">
|
||||
Status: <strong className={isConnected ? 'text-accent-success' : 'text-text-dim'}>{p.status}</strong>
|
||||
</div>
|
||||
<p className="text-[10px] text-text-dim truncate">
|
||||
{p.credentials_status}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
|
||||
{/* Notice on security */}
|
||||
<div className="p-3 rounded-lg border border-border-subtle bg-bg-secondary/60 font-mono text-xs text-text-muted flex items-center justify-between">
|
||||
<span>🔒 External provider API keys are read securely from your local environment (<code className="text-text-primary">.env</code>) and are never exposed in browser responses.</span>
|
||||
</div>
|
||||
|
||||
{/* 2. MODELS REGISTRY TABLE */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-5 space-y-4 overflow-x-auto">
|
||||
<h3 className="font-mono text-xs font-bold text-text-primary uppercase tracking-wider">
|
||||
Registered Candidate Models ({models.length})
|
||||
</h3>
|
||||
|
||||
<table className="w-full text-left font-mono text-xs">
|
||||
<thead>
|
||||
<tr className="border-b border-border-subtle text-text-muted">
|
||||
<th className="pb-2.5">Model ID</th>
|
||||
<th className="pb-2.5">Provider</th>
|
||||
<th className="pb-2.5">Tier</th>
|
||||
<th className="pb-2.5">Context Window</th>
|
||||
<th className="pb-2.5">Capabilities</th>
|
||||
<th className="pb-2.5">Quality / Speed</th>
|
||||
<th className="pb-2.5">Pricing (1K In/Out)</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody className="divide-y divide-border-subtle/40">
|
||||
{models.map((m) => (
|
||||
<tr key={m.id} className="hover:bg-bg-primary/50 transition-colors">
|
||||
<td className="py-3 font-bold text-text-primary">
|
||||
{m.name}
|
||||
<span className="block text-[11px] text-text-muted font-normal">{m.id}</span>
|
||||
</td>
|
||||
<td className="py-3">
|
||||
<span className="px-2 py-0.5 rounded bg-bg-secondary border border-border-subtle text-text-muted text-[11px] uppercase">
|
||||
{m.provider}
|
||||
</span>
|
||||
</td>
|
||||
<td className="py-3">
|
||||
<span className={`text-[10px] px-2 py-0.5 rounded font-bold ${
|
||||
m.tier === 'POWER' ? 'bg-purple-500/20 text-purple-400' : (m.tier === 'BALANCED' ? 'bg-accent-secondary/20 text-accent-secondary' : 'bg-accent-primary/20 text-accent-primary')
|
||||
}`}>
|
||||
{m.tier}
|
||||
</span>
|
||||
</td>
|
||||
<td className="py-3 text-text-primary font-bold">
|
||||
{m.context_window.toLocaleString()}
|
||||
</td>
|
||||
<td className="py-3">
|
||||
<div className="flex flex-wrap gap-1 text-[10px]">
|
||||
{m.supports_coding && <span className="px-1.5 py-0.2 rounded bg-accent-primary/10 text-accent-primary">Code</span>}
|
||||
{m.supports_reasoning && <span className="px-1.5 py-0.2 rounded bg-purple-500/10 text-purple-400">Reason</span>}
|
||||
{m.supports_vision && <span className="px-1.5 py-0.2 rounded bg-accent-secondary/10 text-accent-secondary">Vision</span>}
|
||||
{m.supports_tools && <span className="px-1.5 py-0.2 rounded bg-accent-success/10 text-accent-success">Tools</span>}
|
||||
</div>
|
||||
</td>
|
||||
<td className="py-3 text-text-muted">
|
||||
<strong className="text-text-primary">{(m.quality_score * 100).toFixed(0)}%</strong> Q / <strong className="text-text-primary">{(m.speed_score * 100).toFixed(0)}%</strong> S
|
||||
</td>
|
||||
<td className="py-3">
|
||||
{m.cost_per_input_token === 0 ? (
|
||||
<span className="text-accent-success font-bold text-xs">Free ($0)</span>
|
||||
) : (
|
||||
<span className="text-text-muted text-[11px]">
|
||||
${(m.cost_per_input_token * 1000).toFixed(4)} / ${(m.cost_per_output_token * 1000).toFixed(4)}
|
||||
</span>
|
||||
)}
|
||||
</td>
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
|
||||
{/* Add Model Modal */}
|
||||
{showAddModal && (
|
||||
<div className="fixed inset-0 z-50 bg-black/70 backdrop-blur-sm flex items-center justify-center p-4">
|
||||
<div className="bg-bg-card border border-border-subtle rounded-2xl max-w-lg w-full p-6 space-y-4 shadow-2xl font-mono">
|
||||
<h3 className="text-sm font-bold text-text-primary uppercase tracking-wider">
|
||||
Register New Model
|
||||
</h3>
|
||||
|
||||
<form onSubmit={handleAddModel} className="space-y-3 text-xs">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Model Identifier (ID):</label>
|
||||
<input
|
||||
type="text"
|
||||
required
|
||||
placeholder="e.g. ollama-custom-mistral"
|
||||
value={newModel.id}
|
||||
onChange={(e) => setNewModel({ ...newModel, id: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary focus:border-accent-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Display Name:</label>
|
||||
<input
|
||||
type="text"
|
||||
required
|
||||
placeholder="e.g. Mistral 7B Instruct v0.3"
|
||||
value={newModel.name}
|
||||
onChange={(e) => setNewModel({ ...newModel, name: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary focus:border-accent-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-2 gap-3">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Provider:</label>
|
||||
<select
|
||||
value={newModel.provider}
|
||||
onChange={(e) => setNewModel({ ...newModel, provider: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
>
|
||||
<option value="ollama">Ollama (Local)</option>
|
||||
<option value="mock">Mock / Demo</option>
|
||||
<option value="openai">OpenAI</option>
|
||||
<option value="anthropic">Anthropic</option>
|
||||
<option value="gemini">Google Gemini</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Tier:</label>
|
||||
<select
|
||||
value={newModel.tier}
|
||||
onChange={(e) => setNewModel({ ...newModel, tier: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
>
|
||||
<option value="FAST">FAST</option>
|
||||
<option value="BALANCED">BALANCED</option>
|
||||
<option value="POWER">POWER</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-2 gap-3">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Context Window:</label>
|
||||
<input
|
||||
type="number"
|
||||
value={newModel.context_window}
|
||||
onChange={(e) => setNewModel({ ...newModel, context_window: Number(e.target.value) })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Quality Score (0-1):</label>
|
||||
<input
|
||||
type="number"
|
||||
step="0.05"
|
||||
value={newModel.quality_score}
|
||||
onChange={(e) => setNewModel({ ...newModel, quality_score: Number(e.target.value) })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Capabilities checkboxes */}
|
||||
<div className="pt-2 border-t border-border-subtle flex flex-wrap gap-4 text-[11px]">
|
||||
<label className="flex items-center gap-1.5 cursor-pointer">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={newModel.supports_coding}
|
||||
onChange={(e) => setNewModel({ ...newModel, supports_coding: e.target.checked })}
|
||||
/>
|
||||
<span>Supports Coding</span>
|
||||
</label>
|
||||
<label className="flex items-center gap-1.5 cursor-pointer">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={newModel.supports_reasoning}
|
||||
onChange={(e) => setNewModel({ ...newModel, supports_reasoning: e.target.checked })}
|
||||
/>
|
||||
<span>Supports Reasoning</span>
|
||||
</label>
|
||||
</div>
|
||||
|
||||
<div className="pt-4 flex items-center justify-end gap-2">
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => setShowAddModal(false)}
|
||||
className="px-4 py-2 rounded-lg border border-border-subtle bg-bg-secondary text-text-muted hover:text-text-primary"
|
||||
>
|
||||
Cancel
|
||||
</button>
|
||||
<button
|
||||
type="submit"
|
||||
className="px-4 py-2 rounded-lg bg-accent-primary text-bg-primary font-bold hover:brightness-110"
|
||||
>
|
||||
Save Model
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,502 @@
|
||||
import React, { useState } from 'react';
|
||||
import {
|
||||
Send,
|
||||
Cpu,
|
||||
Zap,
|
||||
Layers,
|
||||
Clock,
|
||||
DollarSign,
|
||||
CheckCircle2,
|
||||
XCircle,
|
||||
HelpCircle,
|
||||
ThumbsUp,
|
||||
ThumbsDown,
|
||||
Sparkles,
|
||||
Sliders,
|
||||
Compass,
|
||||
ArrowRight,
|
||||
ShieldCheck,
|
||||
Code2,
|
||||
Bug,
|
||||
BookOpen,
|
||||
Terminal,
|
||||
Copy,
|
||||
Check,
|
||||
Activity
|
||||
} from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { RequestAnalysis, RoutingDecision, ProviderResponse } from '../types';
|
||||
|
||||
export const Playground: React.FC = () => {
|
||||
const [prompt, setPrompt] = useState('Debug this distributed async task scheduler deadlock and suggest a thread-safe fix');
|
||||
const [policy, setPolicy] = useState('balanced');
|
||||
const [analyzerMode, setAnalyzerMode] = useState('rules');
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [activeTab, setActiveTab] = useState<'decision' | 'response' | 'candidates'>('decision');
|
||||
const [copied, setCopied] = useState(false);
|
||||
|
||||
const [result, setResult] = useState<{
|
||||
request_id: string;
|
||||
analysis: RequestAnalysis;
|
||||
decision: RoutingDecision;
|
||||
response?: ProviderResponse;
|
||||
metrics?: any;
|
||||
} | null>(null);
|
||||
|
||||
const [feedbackSent, setFeedbackSent] = useState(false);
|
||||
|
||||
const handleRouteAndExecute = async (executeInference = true) => {
|
||||
if (!prompt.trim()) return;
|
||||
setLoading(true);
|
||||
setFeedbackSent(false);
|
||||
|
||||
try {
|
||||
if (executeInference) {
|
||||
const data = await fetchApi<any>('/api/generate', {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ prompt, policy, analyzer_mode: analyzerMode }),
|
||||
});
|
||||
setResult(data);
|
||||
} else {
|
||||
const data = await fetchApi<any>('/api/route', {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ prompt, policy, analyzer_mode: analyzerMode }),
|
||||
});
|
||||
setResult(data);
|
||||
}
|
||||
} catch (err: any) {
|
||||
alert(`Routing execution failed: ${err.message}`);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
const handleFeedback = async (rating: number) => {
|
||||
if (!result?.request_id || feedbackSent) return;
|
||||
try {
|
||||
await fetchApi('/api/feedback', {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ request_id: result.request_id, rating }),
|
||||
});
|
||||
setFeedbackSent(true);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
};
|
||||
|
||||
const copyResponse = () => {
|
||||
if (result?.response?.content) {
|
||||
navigator.clipboard.writeText(result.response.content);
|
||||
setCopied(true);
|
||||
setTimeout(() => setCopied(false), 2000);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="space-y-6 max-w-7xl mx-auto pb-16">
|
||||
|
||||
{/* Header bar */}
|
||||
<div className="flex flex-col md:flex-row md:items-center justify-between gap-4 border-b border-border-subtle pb-5">
|
||||
<div>
|
||||
<div className="flex items-center gap-2.5">
|
||||
<div className="w-8 h-8 rounded-lg bg-accent-primary/10 border border-accent-primary/30 flex items-center justify-center text-accent-primary shadow-[0_0_12px_rgba(56,148,255,0.2)]">
|
||||
<Compass className="w-4 h-4 text-accent-primary" />
|
||||
</div>
|
||||
<h2 className="text-xl font-bold font-mono text-text-primary tracking-wide">
|
||||
ROUTER PLAYGROUND & DECISION INSPECTION
|
||||
</h2>
|
||||
</div>
|
||||
<p className="text-xs text-text-muted font-mono mt-1 pl-10">
|
||||
Simulate real-time intent extraction, multi-criteria candidate scoring, and explainable model dispatch.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Global Selectors */}
|
||||
<div className="flex flex-wrap items-center gap-3">
|
||||
<div className="flex items-center gap-2 glass-panel rounded-xl px-3 py-1.5 text-xs font-mono">
|
||||
<Sliders className="w-3.5 h-3.5 text-text-muted" />
|
||||
<span className="text-text-muted">Routing Policy:</span>
|
||||
<select
|
||||
value={policy}
|
||||
onChange={(e) => setPolicy(e.target.value)}
|
||||
className="bg-transparent text-accent-primary font-bold outline-none cursor-pointer"
|
||||
>
|
||||
<option value="balanced" className="bg-bg-card text-text-primary">Balanced (Q35/C25/S20)</option>
|
||||
<option value="lowest_cost" className="bg-bg-card text-text-primary">Lowest Cost (C60)</option>
|
||||
<option value="lowest_latency" className="bg-bg-card text-text-primary">Lowest Latency (S60)</option>
|
||||
<option value="highest_quality" className="bg-bg-card text-text-primary">Highest Quality (Q65)</option>
|
||||
<option value="custom" className="bg-bg-card text-text-primary">Custom Weights</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div className="flex items-center gap-2 glass-panel rounded-xl px-3 py-1.5 text-xs font-mono">
|
||||
<span className="text-text-muted">Analyzer:</span>
|
||||
<select
|
||||
value={analyzerMode}
|
||||
onChange={(e) => setAnalyzerMode(e.target.value)}
|
||||
className="bg-transparent text-text-primary font-bold outline-none cursor-pointer"
|
||||
>
|
||||
<option value="rules" className="bg-bg-card text-text-primary">Deterministic Rules</option>
|
||||
<option value="llm" className="bg-bg-card text-text-primary">Optional LLM Classifier</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Main Request Input Panel */}
|
||||
<div className="rounded-2xl glass-panel p-6 space-y-4 shadow-xl border border-border-subtle grid-bg">
|
||||
<div className="flex items-center justify-between">
|
||||
<label className="text-xs font-mono uppercase tracking-wider text-text-muted font-bold flex items-center gap-2">
|
||||
<Terminal className="w-4 h-4 text-accent-primary" /> Prompt Ingress Buffer
|
||||
</label>
|
||||
<span className="text-[11px] font-mono text-text-dim">
|
||||
{prompt.length} chars • ~{Math.max(1, Math.floor(prompt.length / 4))} est. tokens
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<textarea
|
||||
rows={3}
|
||||
value={prompt}
|
||||
onChange={(e) => setPrompt(e.target.value)}
|
||||
placeholder="Enter prompt to evaluate model routing..."
|
||||
className="w-full rounded-xl border border-border-subtle bg-bg-primary/90 p-4 font-mono text-sm text-text-primary placeholder:text-text-dim focus:border-accent-primary focus:ring-1 focus:ring-accent-primary/40 focus:outline-none transition-all shadow-inner"
|
||||
/>
|
||||
|
||||
<div className="flex flex-wrap items-center justify-between gap-4 pt-1">
|
||||
{/* Quick preset chips */}
|
||||
<div className="flex flex-wrap items-center gap-2 font-mono text-xs">
|
||||
<span className="text-text-dim text-[11px]">Test Presets:</span>
|
||||
<button
|
||||
onClick={() => setPrompt('Write a Python function to reverse a string and handle unicode edge cases')}
|
||||
className="px-2.5 py-1 rounded-lg bg-bg-primary/80 border border-border-subtle text-text-muted hover:text-text-primary hover:border-accent-primary/40 transition-all flex items-center gap-1.5 text-[11px]"
|
||||
>
|
||||
<Code2 className="w-3 h-3 text-accent-primary" /> Fast Code
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setPrompt('Debug this distributed async deadlock in high-throughput worker pool and explain root cause')}
|
||||
className="px-2.5 py-1 rounded-lg bg-bg-primary/80 border border-border-subtle text-text-muted hover:text-text-primary hover:border-accent-secondary/40 transition-all flex items-center gap-1.5 text-[11px]"
|
||||
>
|
||||
<Bug className="w-3 h-3 text-accent-secondary" /> Deep Debug
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setPrompt('Summarize this quarterly financial revenue breakdown into 3 bullet points')}
|
||||
className="px-2.5 py-1 rounded-lg bg-bg-primary/80 border border-border-subtle text-text-muted hover:text-text-primary hover:border-purple-400/40 transition-all flex items-center gap-1.5 text-[11px]"
|
||||
>
|
||||
<BookOpen className="w-3 h-3 text-purple-400" /> Summary
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Action buttons */}
|
||||
<div className="flex items-center gap-3 font-mono">
|
||||
<button
|
||||
disabled={loading}
|
||||
onClick={() => handleRouteAndExecute(false)}
|
||||
className="px-4 py-2.5 rounded-xl border border-border-subtle bg-bg-primary/80 text-text-primary text-xs font-bold hover:border-accent-primary/60 transition-all disabled:opacity-50"
|
||||
>
|
||||
Dry Run (Analyze Only)
|
||||
</button>
|
||||
<button
|
||||
disabled={loading}
|
||||
onClick={() => handleRouteAndExecute(true)}
|
||||
className="flex items-center gap-2 px-6 py-2.5 rounded-xl bg-accent-primary text-bg-primary text-xs font-extrabold hover:brightness-110 shadow-[0_0_20px_rgba(56,148,255,0.4)] transition-all disabled:opacity-50"
|
||||
>
|
||||
<Send className="w-3.5 h-3.5" />
|
||||
{loading ? 'Routing & Executing...' : 'ROUTE & EXECUTE →'}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Results & Inspection Section */}
|
||||
{result && (
|
||||
<div className="space-y-6 pt-2">
|
||||
|
||||
{/* Inspection View Tabs */}
|
||||
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-3 border-b border-border-subtle pb-3 font-mono">
|
||||
<div className="flex items-center gap-2">
|
||||
<button
|
||||
onClick={() => setActiveTab('decision')}
|
||||
className={`px-3.5 py-1.5 rounded-xl text-xs font-bold transition-all ${
|
||||
activeTab === 'decision'
|
||||
? 'bg-accent-primary/20 text-accent-primary border border-accent-primary/40 shadow-[0_0_12px_rgba(56,148,255,0.15)]'
|
||||
: 'text-text-muted hover:text-text-primary'
|
||||
}`}
|
||||
>
|
||||
1. Routing Decision & Explanation
|
||||
</button>
|
||||
{result.response && (
|
||||
<button
|
||||
onClick={() => setActiveTab('response')}
|
||||
className={`px-3.5 py-1.5 rounded-xl text-xs font-bold transition-all ${
|
||||
activeTab === 'response'
|
||||
? 'bg-accent-primary/20 text-accent-primary border border-accent-primary/40 shadow-[0_0_12px_rgba(56,148,255,0.15)]'
|
||||
: 'text-text-muted hover:text-text-primary'
|
||||
}`}
|
||||
>
|
||||
2. Response Stream ({result.metrics?.total_latency_ms || 0}ms)
|
||||
</button>
|
||||
)}
|
||||
<button
|
||||
onClick={() => setActiveTab('candidates')}
|
||||
className={`px-3.5 py-1.5 rounded-xl text-xs font-bold transition-all ${
|
||||
activeTab === 'candidates'
|
||||
? 'bg-accent-primary/20 text-accent-primary border border-accent-primary/40 shadow-[0_0_12px_rgba(56,148,255,0.15)]'
|
||||
: 'text-text-muted hover:text-text-primary'
|
||||
}`}
|
||||
>
|
||||
3. Candidate Scoreboard ({result.decision.candidate_scores.length})
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Selected capsule */}
|
||||
<div className="flex items-center gap-2 text-xs">
|
||||
<span className="text-text-muted">Routed Destination:</span>
|
||||
<span className="px-2.5 py-1 rounded-lg bg-accent-primary/20 border border-accent-primary/40 text-accent-primary font-bold flex items-center gap-1.5">
|
||||
<CheckCircle2 className="w-3.5 h-3.5 text-accent-success" />
|
||||
{result.decision.selected_model_name}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* TAB 1: Decision & Request Analysis */}
|
||||
{activeTab === 'decision' && (
|
||||
<div className="grid grid-cols-1 lg:grid-cols-12 gap-6">
|
||||
|
||||
{/* Structured Request Profile (Left 5 cols) */}
|
||||
<div className="lg:col-span-5 rounded-2xl glass-panel p-6 space-y-4">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle/80 pb-3 font-mono">
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<Activity className="w-4 h-4 text-accent-primary" /> Extracted Request Profile
|
||||
</h3>
|
||||
<span className="text-[10px] px-2 py-0.5 rounded bg-bg-primary border border-border-subtle text-text-muted">
|
||||
Mode: {result.analysis.analyzer_used}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="space-y-3 font-mono text-xs">
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Task Classification</span>
|
||||
<span className="font-bold text-accent-primary">{result.analysis.task_type}</span>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Complexity Score</span>
|
||||
<div className="flex items-center gap-2">
|
||||
<span className="font-bold text-text-primary">{(result.analysis.complexity * 100).toFixed(0)}%</span>
|
||||
<span className={`text-[10px] px-2 py-0.5 rounded-full font-bold ${
|
||||
result.analysis.complexity_label === 'HIGH' ? 'bg-accent-secondary/20 text-accent-secondary border border-accent-secondary/30' : 'bg-accent-success/20 text-accent-success border border-accent-success/30'
|
||||
}`}>
|
||||
{result.analysis.complexity_label}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Multi-Step Reasoning</span>
|
||||
<span className={result.analysis.reasoning_required ? 'text-accent-secondary font-bold' : 'text-text-dim'}>
|
||||
{result.analysis.reasoning_required ? 'REQUIRED (True)' : 'Not Required'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Syntactic / Code Logic</span>
|
||||
<span className={result.analysis.coding_required ? 'text-accent-primary font-bold' : 'text-text-dim'}>
|
||||
{result.analysis.coding_required ? 'REQUIRED (True)' : 'Not Required'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Estimated Context</span>
|
||||
<span className="text-text-primary font-bold">{result.analysis.context_size} tokens</span>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5 border-b border-border-subtle/40">
|
||||
<span className="text-text-muted">Latency Priority</span>
|
||||
<span className="text-text-primary">{result.analysis.latency_priority}</span>
|
||||
</div>
|
||||
|
||||
<div className="flex justify-between items-center py-1.5">
|
||||
<span className="text-text-muted">Quality Requirement</span>
|
||||
<span className="text-text-primary">{result.analysis.quality_requirement}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Explainable Decision Report (Right 7 cols) */}
|
||||
<div className="lg:col-span-7 rounded-2xl glass-panel p-6 space-y-4">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle/80 pb-3 font-mono">
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<CheckCircle2 className="w-4 h-4 text-accent-success" />
|
||||
Why This Model? (Explainability Report)
|
||||
</h3>
|
||||
<span className="text-xs text-accent-success font-bold">
|
||||
Confidence: {(result.decision.confidence * 100).toFixed(0)}%
|
||||
</span>
|
||||
</div>
|
||||
|
||||
{/* Selected Model Highlight Card */}
|
||||
<div className="p-4 rounded-xl bg-bg-primary/90 border border-accent-primary/30 flex flex-col sm:flex-row sm:items-center justify-between gap-4 font-mono shadow-md">
|
||||
<div>
|
||||
<span className="text-[10px] text-text-muted uppercase font-bold">Selected Destination</span>
|
||||
<h4 className="text-base font-extrabold text-text-primary mt-0.5">{result.decision.selected_model_name}</h4>
|
||||
<p className="text-xs text-text-muted mt-0.5">ID: {result.decision.selected_model} • Provider: {result.decision.provider}</p>
|
||||
</div>
|
||||
<div className="flex items-center gap-4 text-xs border-t sm:border-t-0 sm:border-l border-border-subtle pt-2 sm:pt-0 sm:pl-4">
|
||||
<div>
|
||||
<span className="text-text-muted text-[10px] block">Est. Latency</span>
|
||||
<span className="font-bold text-accent-primary">{result.decision.estimated_latency_ms.toFixed(0)}ms</span>
|
||||
</div>
|
||||
<div>
|
||||
<span className="text-text-muted text-[10px] block">Est. Cost</span>
|
||||
<span className="font-bold text-accent-success">${result.decision.estimated_cost_usd.toFixed(6)}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Decision Factors */}
|
||||
<div className="space-y-2 pt-1 font-mono">
|
||||
<span className="text-xs text-text-muted uppercase tracking-wider font-bold">Decision Factors:</span>
|
||||
<div className="space-y-1.5 text-xs">
|
||||
{result.decision.reasons.map((r, idx) => (
|
||||
<div key={idx} className="flex items-start gap-2.5 text-text-primary p-1.5 rounded-lg bg-bg-primary/40 border border-border-subtle/30">
|
||||
<span className="text-accent-success font-bold">✓</span>
|
||||
<span>{r}</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Rejected Candidates */}
|
||||
{Object.keys(result.decision.rejected_candidates || {}).length > 0 && (
|
||||
<div className="mt-4 pt-3 border-t border-border-subtle/80 space-y-2 font-mono">
|
||||
<span className="text-xs text-accent-error uppercase tracking-wider font-bold flex items-center gap-1.5">
|
||||
<XCircle className="w-3.5 h-3.5" /> Pruned / Ineligible Candidates:
|
||||
</span>
|
||||
<div className="space-y-1.5 text-[11px] text-text-muted">
|
||||
{Object.entries(result.decision.rejected_candidates).map(([id, reason]) => (
|
||||
<div key={id} className="p-2 rounded-lg bg-bg-primary/60 border border-border-subtle/40">
|
||||
<span className="font-bold text-text-primary">{id}:</span> {reason}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* TAB 2: Model Response Stream */}
|
||||
{activeTab === 'response' && result.response && (
|
||||
<div className="rounded-2xl glass-panel p-6 space-y-4">
|
||||
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-4 border-b border-border-subtle/80 pb-4 font-mono">
|
||||
<div>
|
||||
<h3 className="text-sm font-bold text-text-primary flex items-center gap-2">
|
||||
<Sparkles className="w-4 h-4 text-accent-primary" />
|
||||
Response from {result.response.model} ({result.response.provider})
|
||||
</h3>
|
||||
<div className="flex flex-wrap items-center gap-4 text-xs text-text-muted mt-1.5">
|
||||
<span>Latency: <strong className="text-text-primary">{result.metrics?.total_latency_ms || result.response.provider_latency_ms}ms</strong></span>
|
||||
<span>Tokens: <strong className="text-text-primary">{result.response.total_tokens}</strong> ({result.response.input_tokens} in / {result.response.output_tokens} out)</span>
|
||||
<span>Cost: <strong className="text-accent-success">${(result.metrics?.estimated_cost_usd || 0).toFixed(6)}</strong></span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex items-center gap-3">
|
||||
{/* Copy button */}
|
||||
<button
|
||||
onClick={copyResponse}
|
||||
className="flex items-center gap-1.5 px-3 py-1.5 rounded-lg border border-border-subtle bg-bg-primary text-text-muted hover:text-text-primary text-xs font-mono"
|
||||
>
|
||||
{copied ? <Check className="w-3.5 h-3.5 text-accent-success" /> : <Copy className="w-3.5 h-3.5" />}
|
||||
{copied ? 'Copied' : 'Copy'}
|
||||
</button>
|
||||
|
||||
{/* Useful feedback */}
|
||||
<div className="flex items-center gap-1.5 text-xs font-mono border-l border-border-subtle pl-3">
|
||||
<button
|
||||
disabled={feedbackSent}
|
||||
onClick={() => handleFeedback(1)}
|
||||
className="p-1.5 rounded-lg border border-border-subtle bg-bg-primary text-text-muted hover:text-accent-success hover:border-accent-success transition-all disabled:opacity-50"
|
||||
>
|
||||
<ThumbsUp className="w-3.5 h-3.5" />
|
||||
</button>
|
||||
<button
|
||||
disabled={feedbackSent}
|
||||
onClick={() => handleFeedback(-1)}
|
||||
className="p-1.5 rounded-lg border border-border-subtle bg-bg-primary text-text-muted hover:text-accent-error hover:border-accent-error transition-all disabled:opacity-50"
|
||||
>
|
||||
<ThumbsDown className="w-3.5 h-3.5" />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Markdown / Text body */}
|
||||
<div className="p-5 rounded-xl bg-bg-primary/95 border border-border-subtle font-mono text-xs text-text-primary whitespace-pre-wrap leading-relaxed shadow-inner">
|
||||
{result.response.content}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* TAB 3: Candidate Scoreboard */}
|
||||
{activeTab === 'candidates' && (
|
||||
<div className="rounded-2xl glass-panel p-6 space-y-4 overflow-x-auto">
|
||||
<h3 className="font-mono text-xs font-bold text-text-primary uppercase tracking-wider">
|
||||
Multi-Criteria Candidate Scoreboard (Normalized 0 - 100 Scale)
|
||||
</h3>
|
||||
<table className="w-full text-left font-mono text-xs">
|
||||
<thead>
|
||||
<tr className="border-b border-border-subtle text-text-muted">
|
||||
<th className="pb-3">Candidate Model</th>
|
||||
<th className="pb-3">Provider</th>
|
||||
<th className="pb-3">Tier</th>
|
||||
<th className="pb-3">Overall Score</th>
|
||||
<th className="pb-3">Quality</th>
|
||||
<th className="pb-3">Speed</th>
|
||||
<th className="pb-3">Cost Eff.</th>
|
||||
<th className="pb-3">Capability</th>
|
||||
<th className="pb-3">Eligibility</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody className="divide-y divide-border-subtle/30">
|
||||
{result.decision.candidate_scores.map((c) => {
|
||||
const isSelected = c.model_id === result.decision.selected_model;
|
||||
return (
|
||||
<tr key={c.model_id} className={`transition-colors ${isSelected ? 'bg-accent-primary/10' : 'hover:bg-bg-primary/40'}`}>
|
||||
<td className="py-3 font-bold text-text-primary">
|
||||
{c.model_name}
|
||||
{isSelected && <span className="ml-2 px-1.5 py-0.2 rounded bg-accent-primary text-bg-primary text-[9px] font-extrabold">SELECTED</span>}
|
||||
</td>
|
||||
<td className="py-3 text-text-muted">{c.provider}</td>
|
||||
<td className="py-3">
|
||||
<span className={`text-[10px] px-2 py-0.5 rounded-full font-bold ${
|
||||
c.tier === 'POWER' ? 'text-purple-400 bg-purple-500/10' : (c.tier === 'BALANCED' ? 'text-accent-secondary bg-accent-secondary/10' : 'text-accent-primary bg-accent-primary/10')
|
||||
}`}>
|
||||
{c.tier}
|
||||
</span>
|
||||
</td>
|
||||
<td className="py-3 font-bold text-accent-primary text-sm">{c.overall_score.toFixed(1)}</td>
|
||||
<td className="py-3 text-text-muted">{c.quality_component}%</td>
|
||||
<td className="py-3 text-text-muted">{c.speed_component}%</td>
|
||||
<td className="py-3 text-text-muted">{c.cost_component}%</td>
|
||||
<td className="py-3 text-text-muted">{c.capability_component}%</td>
|
||||
<td className="py-3">
|
||||
<span className="text-accent-success font-bold text-[11px] flex items-center gap-1">
|
||||
<CheckCircle2 className="w-3.5 h-3.5" /> Eligible
|
||||
</span>
|
||||
</td>
|
||||
</tr>
|
||||
);
|
||||
})}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,287 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { Layers, Plus, Trash2, CheckCircle, Sliders, ToggleLeft, ToggleRight } from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { RoutingRule } from '../types';
|
||||
|
||||
export const Rules: React.FC = () => {
|
||||
const [rules, setRules] = useState<RoutingRule[]>([]);
|
||||
const [showAddModal, setShowAddModal] = useState(false);
|
||||
|
||||
const [newRule, setNewRule] = useState<Partial<RoutingRule>>({
|
||||
name: '',
|
||||
description: '',
|
||||
priority: 10,
|
||||
is_enabled: true,
|
||||
condition_field: 'task_type',
|
||||
condition_operator: '==',
|
||||
condition_value: 'DEBUGGING',
|
||||
action_type: 'FORCE_TIER',
|
||||
action_target: 'POWER',
|
||||
});
|
||||
|
||||
const loadRules = async () => {
|
||||
try {
|
||||
const data = await fetchApi<RoutingRule[]>('/api/rules');
|
||||
setRules(data);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
loadRules();
|
||||
}, []);
|
||||
|
||||
const handleToggle = async (rule: RoutingRule) => {
|
||||
try {
|
||||
await fetchApi(`/api/rules/${rule.id}`, {
|
||||
method: 'PUT',
|
||||
body: JSON.stringify({ ...rule, is_enabled: !rule.is_enabled }),
|
||||
});
|
||||
loadRules();
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
};
|
||||
|
||||
const handleDelete = async (id: string) => {
|
||||
if (!confirm('Are you sure you want to delete this routing rule?')) return;
|
||||
try {
|
||||
await fetchApi(`/api/rules/${id}`, { method: 'DELETE' });
|
||||
loadRules();
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
};
|
||||
|
||||
const handleAddRule = async (e: React.FormEvent) => {
|
||||
e.preventDefault();
|
||||
if (!newRule.name) return;
|
||||
try {
|
||||
await fetchApi('/api/rules', {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(newRule),
|
||||
});
|
||||
setShowAddModal(false);
|
||||
loadRules();
|
||||
} catch (err: any) {
|
||||
alert(`Error: ${err.message}`);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-7xl mx-auto pb-16">
|
||||
|
||||
{/* Header */}
|
||||
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-4 border-b border-border-subtle pb-4">
|
||||
<div>
|
||||
<h2 className="text-xl font-bold font-mono text-text-primary tracking-wide flex items-center gap-2">
|
||||
<Layers className="w-5 h-5 text-accent-primary" />
|
||||
VISUAL ROUTING RULES BUILDER
|
||||
</h2>
|
||||
<p className="text-xs text-text-muted font-mono mt-1">
|
||||
Build deterministic policy overrides, budget guards, and task routing constraints without writing code.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<button
|
||||
onClick={() => setShowAddModal(true)}
|
||||
className="flex items-center gap-1.5 px-3.5 py-2 rounded-lg bg-accent-primary text-bg-primary font-mono text-xs font-bold hover:brightness-110 shadow-[0_0_12px_rgba(77,163,255,0.3)] transition-all"
|
||||
>
|
||||
<Plus className="w-3.5 h-3.5" /> ADD ROUTING RULE
|
||||
</button>
|
||||
</div>
|
||||
|
||||
{/* Rules Visual Blocks List */}
|
||||
<div className="space-y-4 font-mono text-xs">
|
||||
{rules.length === 0 ? (
|
||||
<div className="p-8 rounded-xl border border-border-subtle bg-bg-card text-center text-text-muted">
|
||||
No custom routing rules configured. System is running under default policy scoring.
|
||||
</div>
|
||||
) : (
|
||||
rules.map((rule) => (
|
||||
<div
|
||||
key={rule.id}
|
||||
className={`p-5 rounded-xl border transition-all ${
|
||||
rule.is_enabled
|
||||
? 'border-border-subtle bg-bg-card'
|
||||
: 'border-border-subtle/50 bg-bg-secondary/40 opacity-60'
|
||||
}`}
|
||||
>
|
||||
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-3 border-b border-border-subtle pb-3">
|
||||
<div className="flex items-center gap-2.5">
|
||||
<button onClick={() => handleToggle(rule)} className="text-text-muted hover:text-text-primary">
|
||||
{rule.is_enabled ? (
|
||||
<ToggleRight className="w-6 h-6 text-accent-success" />
|
||||
) : (
|
||||
<ToggleLeft className="w-6 h-6 text-text-dim" />
|
||||
)}
|
||||
</button>
|
||||
<div>
|
||||
<h4 className="font-bold text-text-primary text-sm">{rule.name}</h4>
|
||||
<p className="text-[11px] text-text-muted font-normal">{rule.description || 'Priority rule'}</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex items-center gap-3">
|
||||
<span className="text-[11px] px-2 py-0.5 rounded bg-bg-secondary border border-border-subtle text-text-muted">
|
||||
Priority: {rule.priority}
|
||||
</span>
|
||||
<button
|
||||
onClick={() => handleDelete(rule.id)}
|
||||
className="p-1.5 rounded hover:bg-accent-error/20 hover:text-accent-error text-text-dim transition-all"
|
||||
>
|
||||
<Trash2 className="w-4 h-4" />
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Visual Rule Condition Block Diagram */}
|
||||
<div className="pt-4 flex flex-wrap items-center gap-2.5 text-xs">
|
||||
|
||||
{/* IF condition block */}
|
||||
<div className="flex items-center gap-1.5 px-3 py-1.5 rounded-lg bg-bg-primary border border-border-subtle text-text-primary">
|
||||
<span className="text-accent-primary font-bold text-[10px]">IF</span>
|
||||
<span className="text-text-muted uppercase text-[11px]">{rule.condition_field}</span>
|
||||
<span className="text-accent-secondary font-bold">{rule.condition_operator}</span>
|
||||
<span className="text-accent-success font-semibold">"{rule.condition_value}"</span>
|
||||
</div>
|
||||
|
||||
<span className="text-text-dim font-bold">→</span>
|
||||
|
||||
{/* THEN action block */}
|
||||
<div className="flex items-center gap-1.5 px-3 py-1.5 rounded-lg bg-bg-primary border border-border-subtle text-text-primary">
|
||||
<span className="text-accent-secondary font-bold text-[10px]">THEN</span>
|
||||
<span className="text-text-muted uppercase text-[11px]">{rule.action_type}</span>
|
||||
<span className="text-text-primary font-bold">{rule.action_target}</span>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
|
||||
</div>
|
||||
))
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Modal to add rule */}
|
||||
{showAddModal && (
|
||||
<div className="fixed inset-0 z-50 bg-black/70 backdrop-blur-sm flex items-center justify-center p-4 font-mono">
|
||||
<div className="bg-bg-card border border-border-subtle rounded-2xl max-w-lg w-full p-6 space-y-4 shadow-2xl">
|
||||
<h3 className="text-sm font-bold text-text-primary uppercase tracking-wider">
|
||||
Create Routing Rule
|
||||
</h3>
|
||||
|
||||
<form onSubmit={handleAddRule} className="space-y-3 text-xs">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Rule Name:</label>
|
||||
<input
|
||||
type="text"
|
||||
required
|
||||
placeholder="e.g. Force Power Model on Math & Proofs"
|
||||
value={newRule.name}
|
||||
onChange={(e) => setNewRule({ ...newRule, name: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Description:</label>
|
||||
<input
|
||||
type="text"
|
||||
placeholder="e.g. Ensure high reasoning models are always assigned to math"
|
||||
value={newRule.description}
|
||||
onChange={(e) => setNewRule({ ...newRule, description: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-3 gap-2">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Condition Field:</label>
|
||||
<select
|
||||
value={newRule.condition_field}
|
||||
onChange={(e) => setNewRule({ ...newRule, condition_field: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
>
|
||||
<option value="task_type">task_type</option>
|
||||
<option value="complexity">complexity</option>
|
||||
<option value="budget_percent">budget_percent</option>
|
||||
<option value="context_size">context_size</option>
|
||||
</select>
|
||||
</div>
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Operator:</label>
|
||||
<select
|
||||
value={newRule.condition_operator}
|
||||
onChange={(e) => setNewRule({ ...newRule, condition_operator: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
>
|
||||
<option value="==">==</option>
|
||||
<option value="!=">!=</option>
|
||||
<option value=">=">>=</option>
|
||||
<option value="<="><=</option>
|
||||
<option value=">">></option>
|
||||
<option value="<"><</option>
|
||||
</select>
|
||||
</div>
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Value:</label>
|
||||
<input
|
||||
type="text"
|
||||
required
|
||||
value={newRule.condition_value}
|
||||
onChange={(e) => setNewRule({ ...newRule, condition_value: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-2 gap-3">
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Action Type:</label>
|
||||
<select
|
||||
value={newRule.action_type}
|
||||
onChange={(e) => setNewRule({ ...newRule, action_type: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
>
|
||||
<option value="FORCE_TIER">FORCE_TIER</option>
|
||||
<option value="ROUTE_TO">ROUTE_TO</option>
|
||||
<option value="SET_POLICY">SET_POLICY</option>
|
||||
</select>
|
||||
</div>
|
||||
<div>
|
||||
<label className="text-text-muted block mb-1">Action Target:</label>
|
||||
<input
|
||||
type="text"
|
||||
required
|
||||
placeholder="e.g. POWER or lowest_cost"
|
||||
value={newRule.action_target}
|
||||
onChange={(e) => setNewRule({ ...newRule, action_target: e.target.value })}
|
||||
className="w-full rounded-lg border border-border-subtle bg-bg-primary p-2 text-text-primary outline-none"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="pt-4 flex justify-end gap-2">
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => setShowAddModal(false)}
|
||||
className="px-4 py-2 rounded-lg border border-border-subtle bg-bg-secondary text-text-muted"
|
||||
>
|
||||
Cancel
|
||||
</button>
|
||||
<button
|
||||
type="submit"
|
||||
className="px-4 py-2 rounded-lg bg-accent-primary text-bg-primary font-bold hover:brightness-110"
|
||||
>
|
||||
Save Rule
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,95 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { Sliders, Shield, DollarSign, Cpu, CheckCircle } from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
|
||||
export const SettingsPage: React.FC = () => {
|
||||
const [budget, setBudget] = useState<{
|
||||
daily_limit: number;
|
||||
monthly_limit: number;
|
||||
per_request_limit: number;
|
||||
current_monthly_spend: number;
|
||||
intervention_mode: string;
|
||||
} | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
fetchApi<any>('/api/budgets').then(setBudget).catch(console.error);
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-4xl mx-auto pb-16 font-mono">
|
||||
<div className="border-b border-border-subtle pb-4">
|
||||
<h2 className="text-xl font-bold text-text-primary tracking-wide flex items-center gap-2">
|
||||
<Sliders className="w-5 h-5 text-accent-primary" />
|
||||
SYSTEM CONFIGURATION & BUDGET GUARDS
|
||||
</h2>
|
||||
<p className="text-xs text-text-muted mt-1">
|
||||
Configure daily and monthly spend limits, routing threshold interventions, and environment parameters.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Budget Management */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-6 space-y-4">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle pb-3">
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<DollarSign className="w-4 h-4 text-accent-success" />
|
||||
Budget Thresholds & Automated Interventions
|
||||
</h3>
|
||||
<span className="text-[10px] px-2 py-0.5 rounded bg-accent-success/20 text-accent-success font-bold">
|
||||
Intervention Mode: {budget?.intervention_mode || 'NORMAL'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-1 md:grid-cols-3 gap-4 text-xs">
|
||||
<div className="p-3.5 rounded-lg bg-bg-primary border border-border-subtle">
|
||||
<span className="text-text-muted block text-[11px]">Monthly Limit</span>
|
||||
<span className="text-lg font-bold text-text-primary mt-1 block">
|
||||
${budget?.monthly_limit?.toFixed(2) || '100.00'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="p-3.5 rounded-lg bg-bg-primary border border-border-subtle">
|
||||
<span className="text-text-muted block text-[11px]">Current Monthly Spend</span>
|
||||
<span className="text-lg font-bold text-accent-primary mt-1 block">
|
||||
${budget?.current_monthly_spend?.toFixed(4) || '0.0000'}
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<div className="p-3.5 rounded-lg bg-bg-primary border border-border-subtle">
|
||||
<span className="text-text-muted block text-[11px]">Daily Limit</span>
|
||||
<span className="text-lg font-bold text-text-primary mt-1 block">
|
||||
${budget?.daily_limit?.toFixed(2) || '10.00'}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Budget Intervention Legend */}
|
||||
<div className="space-y-2 pt-2 text-[11px] text-text-muted">
|
||||
<div className="flex items-center gap-2">
|
||||
<span className="w-2 h-2 rounded-full bg-accent-success" />
|
||||
<span>< 80% Budget: Standard balanced multi-criteria routing</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<span className="w-2 h-2 rounded-full bg-accent-secondary" />
|
||||
<span>>= 80% Budget: Cost optimization weighting enabled</span>
|
||||
</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<span className="w-2 h-2 rounded-full bg-accent-error" />
|
||||
<span>>= 95% Budget: Hard prefer local / zero-cost models</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Security & Secrets */}
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-6 space-y-4">
|
||||
<h3 className="text-xs font-bold text-text-primary uppercase tracking-wider flex items-center gap-2">
|
||||
<Shield className="w-4 h-4 text-accent-primary" />
|
||||
Security Policy & Secrets Architecture
|
||||
</h3>
|
||||
<p className="text-xs text-text-muted leading-relaxed">
|
||||
Model Router operates under a zero-secret-exposure contract. API tokens are stored only in environment files (<code className="text-text-primary">.env</code>), never stored as plain text in browser databases, and automatically redacted from server logs.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,120 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { Radio, RefreshCw, Layers, Clock, DollarSign, Cpu } from 'lucide-react';
|
||||
import { fetchApi } from '../lib/api';
|
||||
import { TrafficItem } from '../types';
|
||||
|
||||
export const Traffic: React.FC = () => {
|
||||
const [traffic, setTraffic] = useState<TrafficItem[]>([]);
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
||||
const loadTraffic = async () => {
|
||||
setLoading(true);
|
||||
try {
|
||||
const data = await fetchApi<TrafficItem[]>('/api/traffic?limit=50');
|
||||
setTraffic(data);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
loadTraffic();
|
||||
const eventSource = new EventSource('http://localhost:8000/api/traffic/stream');
|
||||
eventSource.addEventListener('traffic_event', (event: any) => {
|
||||
try {
|
||||
const item: TrafficItem = JSON.parse(event.data);
|
||||
setTraffic((prev) => [item, ...prev.slice(0, 49)]);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
}
|
||||
});
|
||||
|
||||
return () => {
|
||||
eventSource.close();
|
||||
};
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div className="space-y-8 max-w-7xl mx-auto pb-16">
|
||||
<div className="flex items-center justify-between border-b border-border-subtle pb-4">
|
||||
<div>
|
||||
<h2 className="text-xl font-bold font-mono text-text-primary tracking-wide flex items-center gap-2">
|
||||
<Radio className="w-5 h-5 text-accent-primary animate-pulse" />
|
||||
LIVE TRAFFIC & TELEMETRY STREAM
|
||||
</h2>
|
||||
<p className="text-xs text-text-muted font-mono mt-1">
|
||||
Real-time feed of all incoming AI requests, latency breakdowns, and selected model destinations.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<button
|
||||
onClick={loadTraffic}
|
||||
className="p-2 rounded-lg border border-border-subtle bg-bg-card text-text-muted hover:text-text-primary font-mono text-xs flex items-center gap-1.5"
|
||||
>
|
||||
<RefreshCw className={`w-3.5 h-3.5 ${loading ? 'animate-spin' : ''}`} /> Refresh
|
||||
</button>
|
||||
</div>
|
||||
|
||||
<div className="rounded-xl border border-border-subtle bg-bg-card p-5 space-y-4 overflow-x-auto">
|
||||
<table className="w-full text-left font-mono text-xs">
|
||||
<thead>
|
||||
<tr className="border-b border-border-subtle text-text-muted">
|
||||
<th className="pb-2.5">Time</th>
|
||||
<th className="pb-2.5">Request ID</th>
|
||||
<th className="pb-2.5">Task</th>
|
||||
<th className="pb-2.5">Prompt Extract</th>
|
||||
<th className="pb-2.5">Destination Model</th>
|
||||
<th className="pb-2.5">Total Latency</th>
|
||||
<th className="pb-2.5">Cost (USD)</th>
|
||||
<th className="pb-2.5">Status</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody className="divide-y divide-border-subtle/40">
|
||||
{traffic.length === 0 ? (
|
||||
<tr>
|
||||
<td colSpan={8} className="py-6 text-center text-text-muted">
|
||||
No traffic records available. Run prompts from the Playground or CLI to see live events.
|
||||
</td>
|
||||
</tr>
|
||||
) : (
|
||||
traffic.map((t) => (
|
||||
<tr key={t.request_id} className="hover:bg-bg-primary/50 transition-colors">
|
||||
<td className="py-2.5 text-text-muted">
|
||||
{t.timestamp ? t.timestamp.split('T')[1]?.slice(0, 8) : 'N/A'}
|
||||
</td>
|
||||
<td className="py-2.5 text-text-dim text-[11px]">{t.request_id}</td>
|
||||
<td className="py-2.5">
|
||||
<span className="px-1.5 py-0.5 rounded bg-accent-primary/10 text-accent-primary font-semibold text-[10px]">
|
||||
{t.task_type}
|
||||
</span>
|
||||
</td>
|
||||
<td className="py-2.5 text-text-primary max-w-xs truncate" title={t.prompt}>
|
||||
"{t.prompt}"
|
||||
</td>
|
||||
<td className="py-2.5 font-bold text-accent-secondary">
|
||||
{t.selected_model}
|
||||
</td>
|
||||
<td className="py-2.5 text-text-primary font-semibold">
|
||||
{t.total_latency_ms?.toFixed(0)}ms
|
||||
</td>
|
||||
<td className="py-2.5 text-accent-success font-semibold">
|
||||
${(t.estimated_cost || 0).toFixed(6)}
|
||||
</td>
|
||||
<td className="py-2.5">
|
||||
<span className={`text-[10px] px-1.5 py-0.5 rounded font-bold ${
|
||||
t.status === 'SUCCESS' ? 'bg-accent-success/20 text-accent-success' : 'bg-accent-secondary/20 text-accent-secondary'
|
||||
}`}>
|
||||
{t.status}
|
||||
</span>
|
||||
</td>
|
||||
</tr>
|
||||
))
|
||||
)}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,296 @@
|
||||
:root {
|
||||
--text: #6b6375;
|
||||
--text-h: #08060d;
|
||||
--bg: #fff;
|
||||
--border: #e5e4e7;
|
||||
--code-bg: #f4f3ec;
|
||||
--accent: #aa3bff;
|
||||
--accent-bg: rgba(170, 59, 255, 0.1);
|
||||
--accent-border: rgba(170, 59, 255, 0.5);
|
||||
--social-bg: rgba(244, 243, 236, 0.5);
|
||||
--shadow:
|
||||
rgba(0, 0, 0, 0.1) 0 10px 15px -3px, rgba(0, 0, 0, 0.05) 0 4px 6px -2px;
|
||||
|
||||
--sans: system-ui, 'Segoe UI', Roboto, sans-serif;
|
||||
--heading: system-ui, 'Segoe UI', Roboto, sans-serif;
|
||||
--mono: ui-monospace, Consolas, monospace;
|
||||
|
||||
font: 18px/145% var(--sans);
|
||||
letter-spacing: 0.18px;
|
||||
color-scheme: light dark;
|
||||
color: var(--text);
|
||||
background: var(--bg);
|
||||
font-synthesis: none;
|
||||
text-rendering: optimizeLegibility;
|
||||
-webkit-font-smoothing: antialiased;
|
||||
-moz-osx-font-smoothing: grayscale;
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
font-size: 16px;
|
||||
}
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
:root {
|
||||
--text: #9ca3af;
|
||||
--text-h: #f3f4f6;
|
||||
--bg: #16171d;
|
||||
--border: #2e303a;
|
||||
--code-bg: #1f2028;
|
||||
--accent: #c084fc;
|
||||
--accent-bg: rgba(192, 132, 252, 0.15);
|
||||
--accent-border: rgba(192, 132, 252, 0.5);
|
||||
--social-bg: rgba(47, 48, 58, 0.5);
|
||||
--shadow:
|
||||
rgba(0, 0, 0, 0.4) 0 10px 15px -3px, rgba(0, 0, 0, 0.25) 0 4px 6px -2px;
|
||||
}
|
||||
|
||||
#social .button-icon {
|
||||
filter: invert(1) brightness(2);
|
||||
}
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
h1,
|
||||
h2 {
|
||||
font-family: var(--heading);
|
||||
font-weight: 500;
|
||||
color: var(--text-h);
|
||||
}
|
||||
|
||||
h1 {
|
||||
font-size: 56px;
|
||||
letter-spacing: -1.68px;
|
||||
margin: 32px 0;
|
||||
@media (max-width: 1024px) {
|
||||
font-size: 36px;
|
||||
margin: 20px 0;
|
||||
}
|
||||
}
|
||||
h2 {
|
||||
font-size: 24px;
|
||||
line-height: 118%;
|
||||
letter-spacing: -0.24px;
|
||||
margin: 0 0 8px;
|
||||
@media (max-width: 1024px) {
|
||||
font-size: 20px;
|
||||
}
|
||||
}
|
||||
p {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
code,
|
||||
.counter {
|
||||
font-family: var(--mono);
|
||||
display: inline-flex;
|
||||
border-radius: 4px;
|
||||
color: var(--text-h);
|
||||
}
|
||||
|
||||
code {
|
||||
font-size: 15px;
|
||||
line-height: 135%;
|
||||
padding: 4px 8px;
|
||||
background: var(--code-bg);
|
||||
}
|
||||
|
||||
.counter {
|
||||
font-size: 16px;
|
||||
padding: 5px 10px;
|
||||
border-radius: 5px;
|
||||
color: var(--accent);
|
||||
background: var(--accent-bg);
|
||||
border: 2px solid transparent;
|
||||
transition: border-color 0.3s;
|
||||
margin-bottom: 24px;
|
||||
|
||||
&:hover {
|
||||
border-color: var(--accent-border);
|
||||
}
|
||||
&:focus-visible {
|
||||
outline: 2px solid var(--accent);
|
||||
outline-offset: 2px;
|
||||
}
|
||||
}
|
||||
|
||||
.hero {
|
||||
position: relative;
|
||||
|
||||
.base,
|
||||
.framework,
|
||||
.vite {
|
||||
inset-inline: 0;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.base {
|
||||
width: 170px;
|
||||
position: relative;
|
||||
z-index: 0;
|
||||
}
|
||||
|
||||
.framework,
|
||||
.vite {
|
||||
position: absolute;
|
||||
}
|
||||
|
||||
.framework {
|
||||
z-index: 1;
|
||||
top: 34px;
|
||||
height: 28px;
|
||||
transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg)
|
||||
scale(1.4);
|
||||
}
|
||||
|
||||
.vite {
|
||||
z-index: 0;
|
||||
top: 107px;
|
||||
height: 26px;
|
||||
width: auto;
|
||||
transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg)
|
||||
scale(0.8);
|
||||
}
|
||||
}
|
||||
|
||||
#app {
|
||||
width: 1126px;
|
||||
max-width: 100%;
|
||||
margin: 0 auto;
|
||||
text-align: center;
|
||||
border-inline: 1px solid var(--border);
|
||||
min-height: 100svh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
#center {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 25px;
|
||||
place-content: center;
|
||||
place-items: center;
|
||||
flex-grow: 1;
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
padding: 32px 20px 24px;
|
||||
gap: 18px;
|
||||
}
|
||||
}
|
||||
|
||||
#next-steps {
|
||||
display: flex;
|
||||
border-top: 1px solid var(--border);
|
||||
text-align: left;
|
||||
|
||||
& > div {
|
||||
flex: 1 1 0;
|
||||
padding: 32px;
|
||||
@media (max-width: 1024px) {
|
||||
padding: 24px 20px;
|
||||
}
|
||||
}
|
||||
|
||||
.icon {
|
||||
margin-bottom: 16px;
|
||||
width: 22px;
|
||||
height: 22px;
|
||||
}
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
flex-direction: column;
|
||||
text-align: center;
|
||||
}
|
||||
}
|
||||
|
||||
#docs {
|
||||
border-right: 1px solid var(--border);
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
border-right: none;
|
||||
border-bottom: 1px solid var(--border);
|
||||
}
|
||||
}
|
||||
|
||||
#next-steps ul {
|
||||
list-style: none;
|
||||
padding: 0;
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
margin: 32px 0 0;
|
||||
|
||||
.logo {
|
||||
height: 18px;
|
||||
}
|
||||
|
||||
a {
|
||||
color: var(--text-h);
|
||||
font-size: 16px;
|
||||
border-radius: 6px;
|
||||
background: var(--social-bg);
|
||||
display: flex;
|
||||
padding: 6px 12px;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
text-decoration: none;
|
||||
transition: box-shadow 0.3s;
|
||||
|
||||
&:hover {
|
||||
box-shadow: var(--shadow);
|
||||
}
|
||||
.button-icon {
|
||||
height: 18px;
|
||||
width: 18px;
|
||||
}
|
||||
}
|
||||
|
||||
@media (max-width: 1024px) {
|
||||
margin-top: 20px;
|
||||
flex-wrap: wrap;
|
||||
justify-content: center;
|
||||
|
||||
li {
|
||||
flex: 1 1 calc(50% - 8px);
|
||||
}
|
||||
|
||||
a {
|
||||
width: 100%;
|
||||
justify-content: center;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#spacer {
|
||||
height: 88px;
|
||||
border-top: 1px solid var(--border);
|
||||
@media (max-width: 1024px) {
|
||||
height: 48px;
|
||||
}
|
||||
}
|
||||
|
||||
.ticks {
|
||||
position: relative;
|
||||
width: 100%;
|
||||
|
||||
&::before,
|
||||
&::after {
|
||||
content: '';
|
||||
position: absolute;
|
||||
top: -4.5px;
|
||||
border: 5px solid transparent;
|
||||
}
|
||||
|
||||
&::before {
|
||||
left: 0;
|
||||
border-left-color: var(--border);
|
||||
}
|
||||
&::after {
|
||||
right: 0;
|
||||
border-right-color: var(--border);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,158 @@
|
||||
export type TaskType =
|
||||
| 'GENERAL_QA'
|
||||
| 'CODING'
|
||||
| 'DEBUGGING'
|
||||
| 'REASONING'
|
||||
| 'SUMMARIZATION'
|
||||
| 'EXTRACTION'
|
||||
| 'WRITING'
|
||||
| 'TRANSLATION'
|
||||
| 'ANALYSIS'
|
||||
| 'MATH'
|
||||
| 'LONG_CONTEXT'
|
||||
| 'CREATIVE';
|
||||
|
||||
export type PriorityLevel = 'LOW' | 'MEDIUM' | 'HIGH';
|
||||
export type ModelTier = 'FAST' | 'BALANCED' | 'POWER';
|
||||
|
||||
export interface RequestAnalysis {
|
||||
task_type: TaskType;
|
||||
complexity: number;
|
||||
complexity_label: PriorityLevel;
|
||||
reasoning_required: boolean;
|
||||
coding_required: boolean;
|
||||
vision_required: boolean;
|
||||
tools_required: boolean;
|
||||
context_size: number;
|
||||
latency_priority: PriorityLevel;
|
||||
cost_sensitivity: PriorityLevel;
|
||||
quality_requirement: PriorityLevel;
|
||||
keywords_detected: string[];
|
||||
analyzer_used: string;
|
||||
}
|
||||
|
||||
export interface CandidateScore {
|
||||
model_id: string;
|
||||
model_name: string;
|
||||
provider: string;
|
||||
tier: string;
|
||||
overall_score: number;
|
||||
quality_component: number;
|
||||
cost_component: number;
|
||||
speed_component: number;
|
||||
capability_component: number;
|
||||
reliability_component: number;
|
||||
estimated_latency_ms: number;
|
||||
estimated_cost_usd: number;
|
||||
eligible: boolean;
|
||||
rejection_reason?: string;
|
||||
}
|
||||
|
||||
export interface RoutingDecision {
|
||||
decision_id: string;
|
||||
request_id: string;
|
||||
selected_model: string;
|
||||
selected_model_name: string;
|
||||
provider: string;
|
||||
tier: string;
|
||||
confidence: number;
|
||||
policy_used: string;
|
||||
reasons: string[];
|
||||
candidate_scores: CandidateScore[];
|
||||
rejected_candidates: Record<string, string>;
|
||||
estimated_cost_usd: number;
|
||||
estimated_latency_ms: number;
|
||||
rule_applied?: string;
|
||||
timestamp: string;
|
||||
}
|
||||
|
||||
export interface ProviderResponse {
|
||||
content: string;
|
||||
finish_reason: string;
|
||||
input_tokens: number;
|
||||
output_tokens: number;
|
||||
total_tokens: number;
|
||||
provider_latency_ms: number;
|
||||
time_to_first_token_ms?: number;
|
||||
is_mock: boolean;
|
||||
model: string;
|
||||
provider: string;
|
||||
error?: string;
|
||||
}
|
||||
|
||||
export interface ModelRecord {
|
||||
id: string;
|
||||
name: string;
|
||||
provider: string;
|
||||
type: string;
|
||||
tier: ModelTier;
|
||||
context_window: number;
|
||||
supports_coding: boolean;
|
||||
supports_reasoning: boolean;
|
||||
supports_vision: boolean;
|
||||
supports_tools: boolean;
|
||||
quality_score: number;
|
||||
speed_score: number;
|
||||
reliability_score: number;
|
||||
cost_per_input_token: number;
|
||||
cost_per_output_token: number;
|
||||
availability: string;
|
||||
is_active: boolean;
|
||||
}
|
||||
|
||||
export interface ProviderInfo {
|
||||
id: string;
|
||||
name: string;
|
||||
status: string;
|
||||
base_url?: string;
|
||||
message?: string;
|
||||
models_available: string[];
|
||||
credentials_status: string;
|
||||
}
|
||||
|
||||
export interface TrafficItem {
|
||||
request_id: string;
|
||||
timestamp: string;
|
||||
prompt: string;
|
||||
task_type: TaskType;
|
||||
complexity: number;
|
||||
selected_model: string;
|
||||
provider: string;
|
||||
status: string;
|
||||
total_latency_ms: number;
|
||||
estimated_cost: number;
|
||||
}
|
||||
|
||||
export interface SystemAnalytics {
|
||||
total_requests: number;
|
||||
avg_latency_ms: number;
|
||||
avg_routing_latency_ms: number;
|
||||
avg_cost_usd: number;
|
||||
total_cost_usd: number;
|
||||
quality_score_percent?: number;
|
||||
fallback_rate_percent: number;
|
||||
fallback_count: number;
|
||||
model_distribution: Record<string, number>;
|
||||
task_distribution: Record<string, number>;
|
||||
savings: {
|
||||
baseline_model: string;
|
||||
total_requests: number;
|
||||
baseline_total_cost: number;
|
||||
routed_total_cost: number;
|
||||
cost_saved_usd: number;
|
||||
savings_percentage: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface RoutingRule {
|
||||
id: string;
|
||||
name: string;
|
||||
description?: string;
|
||||
priority: number;
|
||||
is_enabled: boolean;
|
||||
condition_field: string;
|
||||
condition_operator: string;
|
||||
condition_value: string;
|
||||
action_type: string;
|
||||
action_target: string;
|
||||
}
|
||||
Vendored
+2
@@ -0,0 +1,2 @@
|
||||
/// <reference types="vite/client" />
|
||||
declare module '*.css';
|
||||
@@ -0,0 +1,40 @@
|
||||
/** @type {import('tailwindcss').Config} */
|
||||
export default {
|
||||
content: [
|
||||
"./index.html",
|
||||
"./src/**/*.{js,ts,jsx,tsx}",
|
||||
],
|
||||
theme: {
|
||||
extend: {
|
||||
colors: {
|
||||
bg: {
|
||||
primary: "#07090C",
|
||||
secondary: "#101419",
|
||||
card: "#14191F",
|
||||
cardHover: "#192027",
|
||||
},
|
||||
border: {
|
||||
subtle: "#242B33",
|
||||
active: "#3A4552",
|
||||
},
|
||||
text: {
|
||||
primary: "#F5F7FA",
|
||||
muted: "#7D8792",
|
||||
dim: "#4A525C",
|
||||
},
|
||||
accent: {
|
||||
primary: "#4DA3FF",
|
||||
secondary: "#FFB84D",
|
||||
success: "#4ADE80",
|
||||
error: "#FF6262",
|
||||
purple: "#A78BFA",
|
||||
}
|
||||
},
|
||||
fontFamily: {
|
||||
mono: ['"JetBrains Mono"', 'Consolas', 'monospace'],
|
||||
sans: ['Inter', 'system-ui', 'sans-serif'],
|
||||
}
|
||||
},
|
||||
},
|
||||
plugins: [],
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2020",
|
||||
"useDefineForClassFields": true,
|
||||
"lib": ["ES2020", "DOM", "DOM.Iterable"],
|
||||
"module": "ESNext",
|
||||
"skipLibCheck": true,
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"noEmit": true,
|
||||
"jsx": "react-jsx",
|
||||
"strict": true,
|
||||
"noUnusedLocals": false,
|
||||
"noUnusedParameters": false,
|
||||
"noFallthroughCasesInSwitch": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
@@ -0,0 +1,4 @@
|
||||
[pytest]
|
||||
pythonpath = backend
|
||||
asyncio_mode = auto
|
||||
asyncio_default_fixture_loop_scope = function
|
||||
@@ -0,0 +1,15 @@
|
||||
fastapi>=0.110.0
|
||||
uvicorn[standard]>=0.28.0
|
||||
pydantic>=2.6.0
|
||||
pydantic-settings>=2.2.0
|
||||
sqlalchemy>=2.0.28
|
||||
aiosqlite>=0.20.0
|
||||
httpx>=0.27.0
|
||||
typer>=0.12.0
|
||||
rich>=13.7.0
|
||||
pytest>=8.0.0
|
||||
pytest-asyncio>=0.23.0
|
||||
python-dotenv>=1.0.1
|
||||
python-multipart>=0.0.9
|
||||
sse-starlette>=2.0.0
|
||||
tiktoken>=0.6.0
|
||||
Reference in New Issue
Block a user