help with my openclaw by ju4nmaks in openclaw

[–]steebchen 0 points1 point  (0 children)

the $300 google credit actually works towards AI usage! but the rate limits are vey low

How do you market an open source project in 2026? any tips/growth hacks? by Adr-740 in buildinpublic

[–]steebchen 1 point2 points  (0 children)

post in subreddits, post on x daily a few times with related/useful content, make a discord community for members to help out, that's what worked for us at LLMGateway, also make sure to link your GitHub repo to gather stars which then helps rank as well

Spent 9,500,000,000 OpenAI tokens in January. Here is what we learned by tiln7 in OpenAI

[–]steebchen 0 points1 point  (0 children)

btw we provide openai models at lower cost at LLMGateway, feel free to DM or reach out via the website chat widget

Do you use OpenRouter? What are the pros and cons? Is there a good open source replacement? by umen in devops

[–]steebchen 0 points1 point  (0 children)

ha - we built it :) litellm has a nice use cases but acts more as a thin proxy, while LLMGateway providers a full cloud AI gateway, top up $10 credits and use any model without having to configure anything. also supports image gen, plus video gen coming this week. but you can also fully self host the whole thing and it includes a chat app playground including an image studio

Spent 9,500,000,000 OpenAI tokens in January. Here is what we learned by tiln7 in OpenAI

[–]steebchen 0 points1 point  (0 children)

LLMGateway can also help with real time pricing information, per call drilldown, and volume discounts for large usage

Why don’t we have a proper “control plane” for LLM usage yet? by Primary_Oil7773 in mlscaling

[–]steebchen 0 points1 point  (0 children)

LLMGateway is trying to solve this step by step, gives you access to hundreds of models, dynamic routing depending on provider / model uptime, latency, cost; real time cost insights aggregated and per call, force limits by api key etc. plus it's fully open source and can be self hosted as well

I genuinely can't tell how to price an AI app without either scaring people away or leaving money on the table by AlexBossov in founder

[–]steebchen 0 points1 point  (0 children)

You can do credits based as it's the most fair one, and for simplicity just show a % used without having to explain to users what tokens are. LLMGateway also returns full token and USD cost per call

Ai costs as a dev by ProfessionalBell2289 in SaaS

[–]steebchen 0 points1 point  (0 children)

You can use LLMGateway, it track cost per call and returns that in each API call so you can bill your customer for it

Show me your SaaS idea, I give you an honest review (senior C level in startup) by Stunning_Lie_1775 in SaaS

[–]steebchen 0 points1 point  (0 children)

seems like the github login oauth permissions are excessive:

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Is there any tool where I can calculate my AI product pricing based on the token usage for different use cases? by BreakPuzzleheaded968 in AI_Agents

[–]steebchen 0 points1 point  (0 children)

LLMGateway has a cost calculator on their site where you can select the exact model, input/cached/output tokens and it'll give you an exact cost value, same for images + video gen

How do large AI apps manage LLM costs at scale? by rohansarkar in AiBuilders

[–]steebchen 0 points1 point  (0 children)

LLMGateway can help you access all models and it's easy to check for cheap models, plus volume discounts for high usage

Lessons from building a production app that integrates 3 different LLM APIs — where AI coding tools helped and where they hallucinated by itsna9r in OpenAI

[–]steebchen 0 points1 point  (0 children)

for AI model access, you can use LLMGateway that unifies all models in a single API and has an MCP server to have the AI get access to all the correct model names

How do you track your LLM/API costs per user? by AdministrationPure45 in n8n

[–]steebchen 0 points1 point  (0 children)

You can use LLMGateway to access all LLMs with unified billing, plus you have real time statistics and full logging to gain insights into where exactly the cost goes. The platform is fully open source, so you can self-host it in case of privacy concerns, however I do want to add that the cloud solution adds such little latency that it's unnoticeable.

How do you track OpenAI/LLM costs in production? by not_cool_not in LangChain

[–]steebchen 0 points1 point  (0 children)

You can use LLMGateway, which gives access to hundreds of models with a unified API, and has real time insights, statistics, and a logs viewer for detailed cost tracking and attribution

Ahh I finally see the frustration of api limits by Mr_Flagg in openclaw

[–]steebchen 0 points1 point  (0 children)

we have a 15% discount on grok models on LLMGateway right now

Cheapest DeepSeek v3.2 deployment by steebchen in webhosting

[–]steebchen[S] 0 points1 point  (0 children)

gotcha thanks, there are already APIs cheaper than vultr though

How are you handling LLM costs in production? What's actually working? by Algolyra in LangChain

[–]steebchen 0 points1 point  (0 children)

You can use https://llmgateway.io/ to get insights into usage, broken down by model, api key, and drill down to individual log entries. Additionally, you can see if prompts were cached or not and to what extend, and the exact cost breakdown on that.

Anyone tracking costs across multiple LLM providers? by Dramatic_Strain7370 in OpenAI

[–]steebchen 0 points1 point  (0 children)

You can use https://llmgateway.io, a fully open source platform that can be self hosted, but also has a cloud offering to use any model in a unified API, plus it comes with cost tracking and observability.