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307 lines
12 KiB
Python
307 lines
12 KiB
Python
from pydantic_settings import BaseSettings
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from typing import List, Optional
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import os
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class Settings(BaseSettings):
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# App
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app_env: str = "development"
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app_secret_key: str = "dev-secret-key"
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allowed_origins: str = "http://localhost:5173,http://localhost:3000"
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# Supabase
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supabase_url: str = ""
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supabase_anon_key: str = ""
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supabase_service_role_key: str = ""
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# Qdrant
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qdrant_url: str = "http://localhost:6333"
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qdrant_api_key: Optional[str] = None
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# LLM Providers
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openai_api_key: Optional[str] = None
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anthropic_api_key: Optional[str] = None
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google_api_key: Optional[str] = None
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fireworks_api_key: Optional[str] = None
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# Embeddings
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embedding_model: str = "text-embedding-3-small"
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# Stripe
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stripe_secret_key: str = ""
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stripe_webhook_secret: str = ""
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stripe_starter_price_id: str = ""
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stripe_business_price_id: str = ""
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stripe_agency_price_id: str = ""
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# Redis
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redis_url: str = "redis://localhost:6379"
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# Sentry
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sentry_dsn: Optional[str] = None
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# Files
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max_file_size_mb: int = 50
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# App URL (for widget embedding)
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app_url: str = "http://localhost:5173"
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# Backend API URL (used for Telegram webhook registration)
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api_url: str = "http://localhost:8000"
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# n8n Handoff webhook
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n8n_handoff_webhook_url: Optional[str] = None
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# Supabase Storage
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supabase_storage_url: str = ""
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# WhatsApp Cloud API
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whatsapp_access_token: str = ""
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whatsapp_phone_number_id: str = ""
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whatsapp_verify_token: str = "contexta_whatsapp_verify"
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whatsapp_app_secret: str = ""
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whatsapp_display_number: str = "" # E.164 without '+', e.g. "15551234567"
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@property
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def allowed_origins_list(self) -> List[str]:
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return [o.strip() for o in self.allowed_origins.split(",")]
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class Config:
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env_file = ".env"
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case_sensitive = False
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settings = Settings()
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# ═══════════════════════════════════════════════════════════════════════════════
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# MODEL CATALOG — Single source of truth for all model metadata
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# ═══════════════════════════════════════════════════════════════════════════════
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# To add a new model:
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# 1. Add it here with name/provider/badge/description
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# 2. Add its model_id → provider mapping in MODEL_PROVIDERS
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# 3. Add it to the appropriate plan(s) in PLAN_LIMITS
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# That's it — the frontend loads everything from GET /api/v1/models/available
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# ═══════════════════════════════════════════════════════════════════════════════
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MODEL_CATALOG = {
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# ── Free tier (Fireworks - lightweight) ────────────────────────────────────
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"accounts/fireworks/models/llama-v3p3-70b-instruct": {
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"name": "Llama 3.3 70B",
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"provider": "Fireworks AI",
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"badge": "Free",
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"description": "Free model for building and testing chatbots",
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},
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# ── Starter tier (Fireworks - powerful serverless models) ──────────────────
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"accounts/fireworks/models/qwen3-235b-a22b": {
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"name": "Qwen3 235B",
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"provider": "Fireworks AI",
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"badge": "Powerful",
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"description": "High-capability open model with great reasoning",
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},
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"accounts/fireworks/models/deepseek-v3p1": {
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"name": "DeepSeek V3.1",
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"provider": "Fireworks AI",
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"badge": "Smart",
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"description": "Cost-effective and highly capable model",
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},
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"accounts/fireworks/models/kimi-k2-instruct-0905": {
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"name": "Kimi K2",
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"provider": "Fireworks AI",
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"badge": "Multilingual",
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"description": "Strong multilingual and coding capabilities",
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},
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# ── Pro tier (Premium providers) ───────────────────────────────────────────
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# OpenAI
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"gpt-4o": {
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"name": "GPT-4o",
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"provider": "OpenAI",
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"badge": "Powerful",
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"description": "Most capable OpenAI model",
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},
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"gpt-4o-mini": {
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"name": "GPT-4o Mini",
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"provider": "OpenAI",
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"badge": "Efficient",
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"description": "Fast and cost-effective OpenAI model",
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},
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# Anthropic
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"claude-haiku-4-5-20251001": {
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"name": "Claude Haiku 4.5",
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"provider": "Anthropic",
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"badge": "Fast",
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"description": "Fast and affordable Anthropic model",
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},
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# Google Gemini
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"gemini-2.5-flash": {
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"name": "Gemini 2.5 Flash",
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"provider": "Google",
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"badge": "Fast",
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"description": "Fast and efficient Google model",
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},
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"gemini-2.5-lite": {
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"name": "Gemini 2.5 Lite",
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"provider": "Google",
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"badge": "Lightweight",
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"description": "Cost-effective Google model",
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},
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"gemini-2.5-pro": {
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"name": "Gemini 2.5 Pro",
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"provider": "Google",
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"badge": "Advanced",
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"description": "Most capable Google model with long context",
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},
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}
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# ─── Model ID → LLM provider mapping (used by llm_client.py for routing) ─────
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MODEL_PROVIDERS = {
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# Fireworks
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"accounts/fireworks/models/llama-v3p3-70b-instruct": "fireworks",
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"accounts/fireworks/models/qwen3-235b-a22b": "fireworks",
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"accounts/fireworks/models/deepseek-v3p1": "fireworks",
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"accounts/fireworks/models/kimi-k2-instruct-0905": "fireworks",
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# OpenAI
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"gpt-4o": "openai",
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"gpt-4o-mini": "openai",
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# Anthropic
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"claude-haiku-4-5-20251001": "anthropic",
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# Google
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"gemini-2.5-flash": "google",
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"gemini-2.5-lite": "google",
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"gemini-2.5-pro": "google",
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}
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# ─── Default model per plan (pre-selected in the frontend) ────────────────────
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DEFAULT_MODELS = {
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"free": "accounts/fireworks/models/llama-v3p3-70b-instruct",
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"starter": "accounts/fireworks/models/qwen3-235b-a22b",
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"business": "gpt-4o",
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"agency": "gpt-4o",
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"enterprise": "gpt-4o",
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}
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# ═══════════════════════════════════════════════════════════════════════════════
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# PLAN LIMITS — Pricing: Starter $12/mo, Business $29/mo, Agency $79/mo
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# ═══════════════════════════════════════════════════════════════════════════════
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#
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# Cost analysis (per 1M tokens approx):
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# Fireworks Llama 3.3 70B: $0.90/M
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# Fireworks Qwen3 235B: $0.22 in / $0.88 out
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# Fireworks DeepSeek V3.1: $0.56 in / $1.68 out
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# Fireworks Kimi K2: $0.60 in / $2.50 out
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# GPT-4o: $2.50 in / $10.00 out
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# GPT-4o Mini: $0.15 in / $0.60 out
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# Claude Haiku 4.5: $0.80 in / $4.00 out
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# Gemini 2.5 Flash: ~$0.15 in / $0.60 out
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# Gemini 2.5 Lite: ~$0.075 in / $0.30 out
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# Gemini 2.5 Pro: ~$1.25 in / $10.00 out
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#
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# Avg conversation: ~2K tokens input + 1K output = ~3K tokens
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# Fireworks models: ~$0.001-$0.004 per conversation
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# GPT-4o: ~$0.015 per conversation
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#
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# Starter $12/mo, 1500 convos: max cost ~$6/mo (fireworks mix) → margin OK
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# Business $29/mo, 5000 convos: max cost ~$15/mo (mixed models) → margin OK
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# Agency $79/mo, 20000 convos: max cost ~$30/mo (fireworks) → healthy margin
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# ═══════════════════════════════════════════════════════════════════════════════
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_ALL_FIREWORKS = [
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"accounts/fireworks/models/llama-v3p3-70b-instruct",
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"accounts/fireworks/models/qwen3-235b-a22b",
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"accounts/fireworks/models/deepseek-v3p1",
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"accounts/fireworks/models/kimi-k2-instruct-0905",
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]
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_ALL_PREMIUM = [
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"gpt-4o", "gpt-4o-mini",
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"claude-haiku-4-5-20251001",
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"gemini-2.5-flash", "gemini-2.5-lite", "gemini-2.5-pro",
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]
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PLAN_LIMITS = {
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# ── Free ─────────────────────────────────────────────────────────────────
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# Build, test, and go live with one chatbot — no card needed.
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"free": {
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"max_chatbots": 999999,
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"max_published": 1, # can publish 1 chatbot
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"max_documents_per_chatbot": 3,
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"max_document_size_mb": 5,
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"models": ["accounts/fireworks/models/llama-v3p3-70b-instruct"],
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"conversations_limit": 100, # 100 real conversations/month
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"code_export": False,
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"analytics": False,
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"channels": [], # no messaging channels
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"url_sources": 0,
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"leads_per_month": 0,
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"show_branding": True, # cannot remove badge
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},
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# ── Starter $12/mo ───────────────────────────────────────────────────────
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# For individuals and solo businesses going live.
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"starter": {
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"max_chatbots": 999999,
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"max_published": 1,
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"max_documents_per_chatbot": 10,
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"max_document_size_mb": 10,
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"models": _ALL_FIREWORKS,
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"conversations_limit": 1500,
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"code_export": False,
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"analytics": True,
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"channels": ["telegram"],
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"url_sources": 5,
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"leads_per_month": 500,
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"show_branding": True, # badge stays
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},
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# ── Business $29/mo ──────────────────────────────────────────────────────
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# For growing businesses that need more chatbots and WhatsApp reach.
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"business": {
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"max_chatbots": 999999,
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"max_published": 3,
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"max_documents_per_chatbot": 50,
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"max_document_size_mb": 50,
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"models": _ALL_FIREWORKS + _ALL_PREMIUM,
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"conversations_limit": 5000,
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"code_export": False,
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"analytics": True,
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"channels": ["telegram", "whatsapp"],
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"url_sources": 999999,
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"leads_per_month": 999999,
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"show_branding": False, # can remove badge
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},
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# ── Agency $79/mo ────────────────────────────────────────────────────────
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# For agencies and large businesses managing many chatbots.
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"agency": {
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"max_chatbots": 999999,
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"max_published": 999999,
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"max_documents_per_chatbot": 999999,
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"max_document_size_mb": 200,
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"models": _ALL_FIREWORKS + _ALL_PREMIUM,
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"conversations_limit": 20000,
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"code_export": True,
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"analytics": True,
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"channels": ["telegram", "whatsapp"],
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"url_sources": 999999,
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"leads_per_month": 999999,
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"show_branding": False,
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},
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# ── Enterprise (custom) ───────────────────────────────────────────────────
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"enterprise": {
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"max_chatbots": 999999,
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"max_published": 999999,
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"max_documents_per_chatbot": 999999,
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"max_document_size_mb": 999999,
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"models": ["*"],
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"conversations_limit": 999999,
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"code_export": True,
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"analytics": True,
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"channels": ["telegram", "whatsapp"],
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"url_sources": 999999,
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"leads_per_month": 999999,
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"show_branding": False,
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},
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} |