Gateway alternatives · 2026-05-21
OpenRouter alternative for Turkey: how to choose an OpenAI-compatible LLM API
A practical comparison framework for teams evaluating a multi-model gateway with a Turkey-focused control layer.
LLMTR Blog
LLMTR Blog
Guides on Turkey-focused LLM APIs, OpenAI-compatible gateways, model comparison, pricing, and data policy.
All posts
LLM gateway basics · 2026-05-21
What is an LLM gateway? Multi-model API architecture
A concise explanation of the LLM gateway layer and why production teams use it for multi-model applications.
Integration guides · 2026-05-21
Migrating to LLMTR with the OpenAI SDK: base_url guide
The minimum changes needed to point an existing OpenAI SDK client at the LLMTR gateway.
Model comparison · 2026-05-21
Comparing GPT, Claude, and Gemini models through one API
A practical decision matrix for comparing provider models through one API surface.
Trust and compliance · 2026-05-21
KVKK and LLM APIs: prompts, logging, and data residency
A practical framing for data-processing decisions when using LLM APIs in Turkey-focused products.
Pricing and benchmark · 2026-05-21
AI API cost in Turkey: token prices and credit margin
A clear way to calculate LLM API cost using token units, catalog model prices, and the credit top-up margin.
LLM gateway basics · 2026-05-22
What is an AI API? LLM integration guide for Turkey
A practical starting point for teams planning AI API integrations across endpoints, models, security, pricing, and data-processing decisions.
Gateway alternatives · 2026-05-22
OpenAI API alternative in Turkey: model choice through one gateway
A practical framework for evaluating OpenAI API alternatives by compatibility, model coverage, data policy, cost, and migration effort.
Integration guides · 2026-05-22
Gemini API OpenAI-compatible guide: base URL and model choice
A practical guide to calling Gemini models from OpenAI-compatible clients while separating endpoint compatibility from model capability.
Agent and MCP guides · 2026-05-22
Claude API in Turkey: choosing for coding agents and long context
A technical guide for evaluating Claude models in coding-agent and long-context workflows across quality, cost, security, and gateway choices.
Agent and MCP guides · 2026-05-22
What is MCP? Guide for LLM API and AI agent integration
A practical explanation of Model Context Protocol in agent applications, including data access, tools, permissions, and gateway decisions.
Agent and MCP guides · 2026-05-22
AI agent API architecture: tool calling, security, and LLM gateway
A production architecture view of model calls, tool calls, security boundaries, usage metering, and cost controls for AI agent systems.
RAG and data guides · 2026-05-22
What is RAG? Safer company-data answers with an LLM gateway
A technical overview of RAG architecture across company data, embeddings, retrieval, data security, model choice, and gateway cost control.
Trust and compliance · 2026-05-22
LLM API security: API keys, rate limits, and prompt logging
A security checklist for LLM API integrations covering API keys, rate limits, prompt data policy, and cost safety.
Pricing and benchmark · 2026-05-22
LLM price comparison 2026: GPT, Claude, Gemini, and Qwen
A practical cost model for LLMs across catalog price, real token usage, context, reasoning, free-model risk, and credit top-up margin.
Agent and MCP guides · 2026-05-22
Choosing an LLM API for coding agents: Claude, Codex, Gemini CLI
A practical framework for choosing coding-agent models by context, patch quality, test loops, tool use, security, and gateway cost.
Agent and MCP guides · 2026-05-23
What is Google Antigravity? Building agents with the Gemini API
A practical explanation of Antigravity after Google I/O 2026 for teams evaluating Gemini API agents and multi-model gateways.
Integration guides · 2026-05-23
Antigravity CLI and Gemini CLI: migration guide for developers
A migration framework for Gemini CLI users evaluating Antigravity CLI, focused on settings, MCP, security, and model cost.
Agent and MCP guides · 2026-05-23
What are Managed Agents in the Gemini API?
A technical explanation of Managed Agents and how they differ from classic chat endpoints in production gateway design.
Model comparison · 2026-05-23
Gemini 3.5 Flash API: choosing a model for agent tasks
A practical model-selection guide for Gemini 3.5 Flash in agent and coding workflows, focused on quality, speed, and cost.
Integration guides · 2026-05-23
What is Gemini Omni? Video generation and multimodal API guide
A developer-focused guide to Gemini Omni, covering video generation, multimodal inputs, safety, and gateway integration planning.
Agent and MCP guides · 2026-05-23
What is Gemini Spark? Personal AI agents and safe usage boundaries
A practical view of Gemini Spark as a personal-agent pattern, focused on permissions, connected data, and enterprise safety.
Pricing and benchmark · 2026-05-23
Gemini API pricing and API key guide: cost planning for Turkey
A practical guide to Gemini API cost across token usage, model choice, free-tier expectations, API key safety, and LLMTR credits.
Agent and MCP guides · 2026-05-26
What is the Gemini Interactions API? From generateContent to agent state
A production-oriented guide to the Gemini Interactions API, focused on state, background work, webhooks, usage metering, and gateway boundaries.
LLM gateway basics · 2026-05-23
What is the LLMTR AI Gateway? One API for LLM and AI model access
A practical explanation of the LLMTR AI Gateway layer across one API, model catalog, API keys, usage metering, and Turkey-focused AI infrastructure.
LLM gateway basics · 2026-05-23
AI gateway vs LLM gateway: model access, security, and cost control
A clear distinction between AI gateway and LLM gateway terminology, where LLMTR fits, and how teams should choose based on production needs.
Integration guides · 2026-05-23
OpenAI-compatible AI gateway: base_url, API keys, and model switching with LLMTR
A practical guide to the minimum settings needed when moving an existing OpenAI SDK application to the LLMTR AI Gateway.
Trust and compliance · 2026-05-25
What to do if a Google API key is stolen: Gemini spend caps and proxy controls
A practical response guide for Google and Gemini API key leaks, covering early containment, budget alerts versus hard limits, and proxy-based cost controls.
Integration guides · 2026-05-27
Building Android apps in Google AI Studio: Gemini API and production handoff guide
A production-focused guide for moving Google AI Studio Android prototypes into a secure Gemini API and LLMTR gateway architecture.
Pricing benchmarks · 2026-05-28
GPT-5.5 API and Codex agent cost: usage control guide
A practical guide to controlling tokens, retries, batch work, usage tracking, and budget limits before sending agentic coding traffic to production.
Trust and compliance · 2026-05-28
Claude Managed Agents security architecture: sandbox, permissions, and gateway boundaries
A production-focused guide for sandbox boundaries, tool permissions, egress, approvals, and provider-key safety in long-running agent workflows.
RAG and data · 2026-05-28
X Search API and Grok API: LLM gateway architecture for social signals
How to add X/Twitter social signals to an LLM agent or RAG flow while controlling tool invocation cost, data boundaries, model choice, and the LLMTR gateway.
Agent workflows · 2026-05-31
Grok Build API guide: choosing xAI models for coding agents
Connect Grok Build 0.1 API interest to coding-agent architecture, model choice, MCP-enabled workflows, and LLMTR gateway cost controls.
Integration guides · 2026-05-31
OpenAI model retirement guide: GPT-4.5, o3, and GPT-5.5 Instant migration
Read OpenAI model changes with a clear ChatGPT-versus-API distinction, then turn them into safer fallback, testing, and cost controls in the LLMTR gateway.
RAG and data · 2026-05-31
Google AI Mode SEO guide: AI Overviews and AI search visibility
Explains how technical products like LLMTR can build source-worthy, measurable, and reliable blog and documentation surfaces for AI Mode and AI Overviews.
RAG and data · 2026-06-02
How to measure AI search visibility for LLMTR
A practical guide to measuring AI search visibility for technical products through citations, referrals, source quality, freshness, and structured content surfaces.
RAG and data · 2026-06-02
How to measure ChatGPT referral traffic, including Gemini and Perplexity
A practical guide to measuring AI chatbot visits through citations, referrals, conversions, and technical log validation instead of vanity metrics.
Trust and compliance · 2026-06-02
AI crawler robots.txt and llms.txt guide: OAI-SearchBot, PerplexityBot
A practical guide to AI crawler access that separates training from search and treats llms.txt as a controlled content map, not a ranking guarantee.
RAG and data · 2026-06-03
Search Console AI Mode controls for SEO and GEO visibility
Connects Google's new AI Search control and measurement signals to the LLMTR publishing standard across blog, docs, llms.txt, and usage tracking.
RAG and data · 2026-06-03
AI Overviews performance report: Search Console measurement for LLMTR
Explains how to measure AI Overviews and AI Mode impact with Search Console, GA4, server logs, and product funnel data instead of one vanity metric.
Trust and compliance · 2026-06-03
Preferred Sources AI Search guide: becoming a trusted source
Explains how to become a preferred and citable source in AI Search through original technical content, clear docs, trust boundaries, and measurement discipline.
AI search and data · 2026-06-04
Google Trends Gemini keyword research for AI Search topic selection
Turns Gemini-assisted Google Trends exploration into a measured AI Search/GEO keyword workflow for LLMTR content planning.
AI search and data · 2026-06-04
AI Mode long-query SEO for developer content
Explains how to structure LLMTR content for longer, decision-heavy AI Mode queries with technical accuracy and measurement.
Model comparisons · 2026-06-04
How to build a GEO content calendar for new AI model announcements
A publishing-calendar approach that connects new AI model announcements to model choice, gateway migration, cost, and AI Search source strategy.
AI search and data · 2026-06-04
Bing AI Performance GEO report: citations and grounding queries
Explains Bing Webmaster Tools AI Performance for LLMTR citation visibility, source measurement, content improvement, and funnel analysis.
Trust and compliance · 2026-06-04
OAI-SearchBot ChatGPT Search visibility: robots.txt and referral measurement
Explains how to separate OAI-SearchBot, GPTBot, noindex, referral UTM, and LLMTR security boundaries when targeting ChatGPT Search visibility.
AI search and data · 2026-06-06
Google Trends RSS keyword tracking for AI blog topics
A practical guide for using Google Trends RSS and export surfaces to choose, filter, and measure current AI/API keywords for LLMTR.
Pricing and comparison · 2026-06-06
GPT-5.5 Instant update: API code flow and model sunset checks
Separates OpenAI model updates into ChatGPT and API impact, then gives a code, cost, and sunset checklist for GPT-5.5 Instant update work.
Pricing and comparison · 2026-06-06
Claude Opus 4.8 API agent cost guide: when should you use it?
Explains quality, latency, token efficiency, fast-mode tradeoffs, and LLMTR gateway cost control for Claude Opus 4.8 API agent workflows.
Model comparison · 2026-06-06
Grok Imagine 1.5 API guide for image-to-video model selection
Connects xAI Grok Imagine 1.5 API preview signals to image-to-video model selection, safe payloads, quality measurement, and LLMTR multimodal gateway strategy.
Agent workflows · 2026-06-06
Grok Voice Vapi API guide for building voice AI agent flows
Connects xAI Grok Voice and Vapi signals to voice AI agent architecture, STT/TTS separation, latency budget, safety, and LLMTR usage measurement.
RAG and data · 2026-06-11
World Cup 2026 trend radar with Google Trends, X data, and an LLM API
Turns World Cup 2026 attention into a source-backed trend monitoring and LLM API summarization workflow.
RAG and data · 2026-06-11
AI summarization API for football transfer trends and source-backed updates
Designs transfer-trend summarization as source verification, deduplication, and LLM API cost control instead of rewritten rumors.
Trust and compliance · 2026-06-11
Visa and Schengen news tracking with source-backed RAG and an LLM API
Treats visa and Schengen attention as a sensitive, source-backed, privacy-aware AI summary workflow.
Agent workflows · 2026-06-11
Vehicle inspection AI workflows for fee questions, call centers, and documents
Frames vehicle inspection and fee questions as a real operations automation workflow with document checks, call-center routing, and safe LLM agents.
Agent workflows · 2026-06-11
AI alerts for public hiring results, official pages, and high-intent trends
Turns high-intent public hiring result searches into an official-source monitoring and controlled AI notification workflow.
LLM gateway basics · 2026-06-12
AI models in Turkey: accessing local and global LLMs through LLMTR
Positions LLMTR as the gateway layer for teams evaluating Turkish and global LLM models through one API, catalog, pricing, and data-policy surface.
Model comparison · 2026-06-12
How to choose a local AI model for LLM API production use
Turns the local AI model search into API, data-policy, pricing, Turkish-quality, and gateway-control criteria for production systems.
Model comparison · 2026-06-12
Comparing Turkish LLM models: quality, pricing, and API access
Connects Turkish LLM search intent to benchmarks, practical prompt tests, pricing, context windows, and model trials through one API.
Gateway alternatives · 2026-06-12
Turkey LLM gateway: multi-model access through an OpenAI-compatible API
Connects Turkey LLM gateway search intent directly to LLMTR's OpenAI-compatible API, one API key, model catalog, usage tracking, and multi-provider architecture.
Agent workflows · 2026-06-12
AI agents in Turkey: LLM API and model selection guide
Connects AI agent Turkey search intent to agent architecture, tool calling, MCP, Turkish model choice, safety, and LLMTR gateway usage.
Integration guides · 2026-06-14
GPT-5.5 API migration guide: integrate via an OpenAI-compatible gateway
Explains how to migrate to the GPT-5.5 API by reducing the change to a base URL and model identifier while keeping your existing OpenAI client.
Gateway alternatives · 2026-06-14
Claude Opus 4 and Sonnet 4 retirement: a model migration plan
Explains how to migrate to a new model without breaking production as Claude Opus 4 and Sonnet 4 are retired.
Model comparison · 2026-06-14
GPT-5.5, Gemini 3.5, Claude and Grok: an LLM API comparison from one API
Offers a practical LLM API comparison to pick models by task type instead of hunting for a single winner.
Agent workflows · 2026-06-14
MCP server and LLM gateway: unify agent tools in one API
Explains how to unify MCP server tool access with model calls on one OpenAI-compatible gateway surface.
RAG and data · 2026-06-14
GEO generative engine optimization: becoming a source in ChatGPT and Gemini
Explains GEO generative engine optimization through citation-ready content structure and a tracking method built with an LLM API.
Integration guides · 2026-06-22
How to write a UNIDES project: 2026 application preparation guide
A preparation method for turning a student community idea into a measurable and feasible UNIDES application for the next official call.
Agent workflows · 2026-06-22
UNIDES AI project ideas: examples across 11 policy areas
Project ideas and selection criteria that connect AI to real student needs across the 11 UNIDES policy areas without making technology the objective.
Integration guides · 2026-06-22
UNIDES AI integration: LLMTR support from application to working prototype
Connects application planning with technical delivery to turn a UNIDES idea into a secure, measurable, and budgeted AI prototype.