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belviskhoremk
2026-02-23 17:24:41 +00:00
parent 07c4c55072
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5 changed files with 543 additions and 105 deletions
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app/config.py
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@@ -66,69 +66,72 @@ settings = Settings()
MODEL_CATALOG = {
# ── Free tier (Fireworks - lightweight) ────────────────────────────────────
"accounts/fireworks/models/kimi-k2-instruct-0905": {
"name": "Kimi K2",
"accounts/fireworks/models/llama-v3p3-70b-instruct": {
"name": "Llama 3.3 70B",
"provider": "Fireworks AI",
"badge": "Free",
"description": "Free model for building and testing chatbots",
},
# ── Starter tier (Fireworks - powerful) ────────────────────────────────────
"accounts/fireworks/models/llama-v3p1-70b-instruct": {
"name": "Llama 3.1 70B",
# ── Starter tier (Fireworks - powerful serverless models) ──────────────────
"accounts/fireworks/models/qwen3-235b-a22b": {
"name": "Qwen3 235B",
"provider": "Fireworks AI",
"badge": "Fast",
"description": "Fast open-source model, great for most tasks",
"badge": "Powerful",
"description": "High-capability open model with great reasoning",
},
"accounts/fireworks/models/mixtral-8x7b-instruct": {
"name": "Mixtral 8x7B",
"accounts/fireworks/models/deepseek-v3p1": {
"name": "DeepSeek V3.1",
"provider": "Fireworks AI",
"badge": "Balanced",
"description": "Balanced speed and quality",
"badge": "Smart",
"description": "Cost-effective and highly capable model",
},
"accounts/fireworks/models/qwen2p5-72b-instruct": {
"name": "Qwen 2.5 72B",
"accounts/fireworks/models/kimi-k2-instruct-0905": {
"name": "Kimi K2",
"provider": "Fireworks AI",
"badge": "Multilingual",
"description": "Excellent multilingual capabilities",
"description": "Strong multilingual and coding capabilities",
},
# ── Pro tier (Premium providers) ───────────────────────────────────────────
# OpenAI
"gpt-4o": {
"name": "GPT-4o",
"provider": "OpenAI",
"badge": "Powerful",
"description": "Most capable OpenAI model",
},
"gpt-4-turbo": {
"name": "GPT-4 Turbo",
"provider": "OpenAI",
"badge": "Smart",
"description": "Fast and capable with large context",
},
"gpt-3.5-turbo": {
"name": "GPT-3.5 Turbo",
"gpt-4o-mini": {
"name": "GPT-4o Mini",
"provider": "OpenAI",
"badge": "Efficient",
"description": "Cost-effective for simpler tasks",
"description": "Fast and cost-effective OpenAI model",
},
"claude-3-5-sonnet-20241022": {
"name": "Claude 3.5 Sonnet",
# Anthropic
"claude-haiku-4-5-20251001": {
"name": "Claude Haiku 4.5",
"provider": "Anthropic",
"badge": "Reasoning",
"description": "Excellent at analysis and reasoning",
"badge": "Fast",
"description": "Fast and affordable Anthropic model",
},
"claude-3-opus-20240229": {
"name": "Claude 3 Opus",
"provider": "Anthropic",
"badge": "Advanced",
"description": "Most capable Anthropic model",
},
"gemini-1.5-pro": {
"name": "Gemini 1.5 Pro",
# Google Gemini
"gemini-2.5-flash": {
"name": "Gemini 2.5 Flash",
"provider": "Google",
"badge": "Long Context",
"description": "Handles very long documents well",
"badge": "Fast",
"description": "Fast and efficient Google model",
},
"gemini-2.5-lite": {
"name": "Gemini 2.5 Lite",
"provider": "Google",
"badge": "Lightweight",
"description": "Cost-effective Google model",
},
"gemini-2.5-pro": {
"name": "Gemini 2.5 Pro",
"provider": "Google",
"badge": "Advanced",
"description": "Most capable Google model with long context",
},
}
@@ -136,86 +139,133 @@ MODEL_CATALOG = {
# ─── Model ID → LLM provider mapping (used by llm_client.py for routing) ─────
MODEL_PROVIDERS = {
# Fireworks
"accounts/fireworks/models/llama-v3p3-70b-instruct": "fireworks",
"accounts/fireworks/models/qwen3-235b-a22b": "fireworks",
"accounts/fireworks/models/deepseek-v3p1": "fireworks",
"accounts/fireworks/models/kimi-k2-instruct-0905": "fireworks",
"accounts/fireworks/models/llama-v3p1-70b-instruct": "fireworks",
"accounts/fireworks/models/mixtral-8x7b-instruct": "fireworks",
"accounts/fireworks/models/qwen2p5-72b-instruct": "fireworks",
# OpenAI
"gpt-4o": "openai",
"gpt-4-turbo": "openai",
"gpt-3.5-turbo": "openai",
"claude-3-5-sonnet-20241022": "anthropic",
"claude-3-opus-20240229": "anthropic",
"gemini-1.5-pro": "google",
"gpt-4o-mini": "openai",
# Anthropic
"claude-haiku-4-5-20251001": "anthropic",
# Google
"gemini-2.5-flash": "google",
"gemini-2.5-lite": "google",
"gemini-2.5-pro": "google",
}
# ─── Default model per plan (pre-selected in the frontend) ────────────────────
DEFAULT_MODELS = {
"free": "accounts/fireworks/models/kimi-k2-instruct-0905",
"starter": "accounts/fireworks/models/llama-v3p1-70b-instruct",
"free": "accounts/fireworks/models/llama-v3p3-70b-instruct",
"starter": "accounts/fireworks/models/qwen3-235b-a22b",
"pro": "gpt-4o",
"enterprise": "gpt-4o",
}
# ─── Plan limits ──────────────────────────────────────────────────────────────
# ═══════════════════════════════════════════════════════════════════════════════
# PLAN LIMITS — Pricing: Starter $3/mo, Pro $20/mo
# ═══════════════════════════════════════════════════════════════════════════════
#
# Cost analysis (per 1M tokens approx):
# Fireworks Llama 3.3 70B: $0.90/M
# Fireworks Qwen3 235B: $0.22 in / $0.88 out
# Fireworks DeepSeek V3.1: $0.56 in / $1.68 out
# Fireworks Kimi K2: $0.60 in / $2.50 out
# GPT-4o: $2.50 in / $10.00 out
# GPT-4o Mini: $0.15 in / $0.60 out
# Claude Haiku 4.5: $0.80 in / $4.00 out
# Gemini 2.5 Flash: ~$0.15 in / $0.60 out
# Gemini 2.5 Lite: ~$0.075 in / $0.30 out
# Gemini 2.5 Pro: ~$1.25 in / $10.00 out
#
# Avg conversation: ~2K tokens input + 1K output = ~3K tokens
# Fireworks models: ~$0.001-$0.004 per conversation
# GPT-4o: ~$0.015 per conversation
# GPT-4o Mini: ~$0.001 per conversation
# Claude Haiku: ~$0.006 per conversation
# Gemini Flash: ~$0.001 per conversation
# Gemini Pro: ~$0.013 per conversation
#
# Starter at $3/mo with 500 convos: max cost ~$2/mo (fireworks) → margin OK
# Pro at $20/mo with 2,000 convos: max cost ~$12/mo (if all GPT-4o) → margin OK
# Typical mix: ~$5-8/mo actual cost → healthy margin
# ═══════════════════════════════════════════════════════════════════════════════
PLAN_LIMITS = {
"free": {
"max_chatbots": 999999, # unlimited creation
"max_published": 0, # cannot publish
"max_published": 0, # cannot publish
"max_documents_per_chatbot": 3,
"max_document_size_mb": 5,
"models": [
"accounts/fireworks/models/kimi-k2-instruct-0905",
"accounts/fireworks/models/llama-v3p3-70b-instruct",
],
"conversations_limit": 999999, # unlimited preview
"conversations_limit": 50, # 50 preview conversations/month
"code_export": False,
"analytics": False,
"features": ["preview_mode", "testing"],
},
"starter": {
"max_chatbots": 999999,
"max_published": 1,
"max_documents_per_chatbot": 10,
"max_document_size_mb": 10,
"models": [
"accounts/fireworks/models/llama-v3p3-70b-instruct",
"accounts/fireworks/models/qwen3-235b-a22b",
"accounts/fireworks/models/deepseek-v3p1",
"accounts/fireworks/models/kimi-k2-instruct-0905",
"accounts/fireworks/models/llama-v3p1-70b-instruct",
"accounts/fireworks/models/mixtral-8x7b-instruct",
"accounts/fireworks/models/qwen2p5-72b-instruct",
],
"conversations_limit": 5000,
"conversations_limit": 500, # 500 conversations/month
"code_export": False,
"analytics": True,
"features": ["marketplace", "analytics", "branding"],
},
"pro": {
"max_chatbots": 3,
"max_published": 3,
"max_chatbots": 5,
"max_published": 5,
"max_documents_per_chatbot": 50,
"max_document_size_mb": 50,
"models": [
# Fireworks (included)
"accounts/fireworks/models/llama-v3p3-70b-instruct",
"accounts/fireworks/models/qwen3-235b-a22b",
"accounts/fireworks/models/deepseek-v3p1",
"accounts/fireworks/models/kimi-k2-instruct-0905",
"accounts/fireworks/models/llama-v3p1-70b-instruct",
"accounts/fireworks/models/mixtral-8x7b-instruct",
# OpenAI
"gpt-4o",
"gpt-4-turbo",
"gpt-3.5-turbo",
"claude-3-5-sonnet-20241022",
"claude-3-opus-20240229",
"gemini-1.5-pro",
"gpt-4o-mini",
# Anthropic
"claude-haiku-4-5-20251001",
# Google
"gemini-2.5-flash",
"gemini-2.5-lite",
"gemini-2.5-pro",
],
"conversations_limit": 20000,
"conversations_limit": 2000, # 2,000 conversations/month
"code_export": True,
"analytics": True,
"features": [
"marketplace",
"code_export",
"advanced_analytics",
"priority_support",
"custom_domain",
"ab_testing",
],
},
"enterprise": {
"max_chatbots": 999999,
"max_published": 999999,
"max_documents_per_chatbot": 999999,
"max_document_size_mb": 200,
"models": ["*"], # resolves to all MODEL_CATALOG keys
"conversations_limit": 999999,
"code_export": True,
"analytics": True,
"features": ["*"],
},
}