Keep provider keys on your router
Provider keys, signed-in subscriptions, local Ollama, and private endpoints can stay on the router host. A hosted TEKIZ.AI key controls account access, usage limits, request history, and the public API.
Use OpenRouter with your own key
Add OpenRouter as one of your routes without making it your only route. OpenRouter model access is included only when a TEKIZ.AI plan explicitly says so.
Check what happens when a route fails
TEKIZ.AI can spread work across several keys, retry after 429 errors, switch away from unhealthy routes, and send files only to models that support them. Your apps do not need to implement each rule separately.
Copyable Reddit-style evaluation post
I am comparing model gateways for coding tools and want one stable configuration across model changes. Checklist I am using: - One OpenAI-compatible endpoint for Codex, Cursor, OpenClaw, Aider, Continue, OpenHands, and SDK clients. - Provider API keys, signed-in subscriptions, local Ollama, and private endpoints can stay on my host or Tailnet. - OpenRouter works with my own key and does not have to be the only route. - Multiple API keys per provider with load balancing and failover, especially on 429s. - Image, audio, video, document, tool, and long-context requests go only to models that support them. - Hosted keys provide usage limits, request history, and public API access when I need it. TEKIZ.AI proof page: https://tekiz.ai/reddit-ai-gateway-evaluation Set up setup: https://tekiz.ai/quickstart Gateway comparison: https://tekiz.ai/compare/model-gateways Max implementation review: https://tekiz.ai/managed-access?intent=max-implementation#managed-access-quick-form
Copyable r/Ollama launch post
I built and open-sourced the model router I run between my agents and Ollama. TEKIZ.AI gives my tools one OpenAI-compatible address. It chooses a model based on the task, model support, and provider health, then can switch between local Ollama, Ollama Cloud through my signed-in Ollama runtime, and other providers I add. The Ollama-specific use case: - keep local Ollama first for privacy, latency, or cost; - overflow to cloud providers when local capacity is not enough; - fall back to local Ollama when a cloud provider rate-limits or fails; - keep provider keys and OAuth/subscription paths on your router host by default; - route image/audio/video requests only to models that can actually handle those inputs. 30-second local start: python3 router.py --port 8790 export OPENAI_BASE_URL=http://localhost:8790/v1 export OPENAI_API_KEY=local-router Ollama route overview: https://tekiz.ai/ollama-ai-model-router?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch Public model catalog: https://tekiz.ai/models?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch Quickstart: https://tekiz.ai/quickstart?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch Repo: https://github.com/tekizai/tekizai-router?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch How are you handling failover between local Ollama and cloud models today? Are people mostly keeping that in each app, using Open WebUI, writing a small gateway, or accepting provider failures?
Copyable r/SideProject launch post
I built TEKIZ.AI because every agent tool I use has its own model config, fallback behavior, and rate-limit failure mode. The side project became a product: one OpenAI-compatible endpoint for Codex, Cursor, Aider, Continue, OpenHands, OpenAI SDKs, Anthropic-compatible clients, local Ollama, Ollama Cloud through authorized local runtime access, and other BYOK providers. What it does: - chooses routes by task, provider health, model support, speed, and your settings; - fails over on 429s and provider outages; - load-balances multiple API keys per provider; - routes image/audio/video inputs only to capable models; - keeps provider credentials local by default when self-hosted; - offers hosted generated sk_tekiz_* keys, quotas, analytics, and reliability routing for teams that want a public edge. Model access: bring authorized provider access unless your TEKIZ.AI plan explicitly includes managed model access. Hosted plans are live: - Lite: $6/month - Pro: $30/month - Max: $72/month Pricing: https://tekiz.ai/pricing?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch Create a hosted key: https://app.tekiz.ai/account?plan=pro&start=create_key&setup=first-request&next=first-request&source_surface=reddit-evaluation&utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch&utm_content=key-setup Quickstart: https://tekiz.ai/quickstart?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch Repo: https://github.com/tekizai/tekizai-router?utm_source=reddit&utm_medium=community&utm_campaign=tekizai-launch For people launching AI infrastructure side projects: would you lead with the hosted key workflow, the local-first open-source core, or the OpenRouter comparison?
Copyable Set up setup proof
export OPENAI_BASE_URL=https://api.tekiz.ai/v1
export OPENAI_API_KEY=sk_tekiz_your_key_here
curl "$OPENAI_BASE_URL/chat/completions" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tekizai/frontier",
"messages": [{"role": "user", "content": "Route this through the best healthy model."}]
}'
# Account/key setup:
# https://app.tekiz.ai/account?plan=pro&start=create_key&setup=first-request&next=first-request&source_surface=harness-article&utm_source=harness-article&utm_medium=activation&utm_campaign=tekizai-launch&utm_content=article-key
Ollama and OpenAI first
Primary evaluation paths are local Ollama/Ollama Cloud through local Ollama and OpenAI-compatible hosted routes, with the same endpoint presented to agents.
Anthropic/Dario ready
Anthropic-compatible routing remains part of the provider matrix. If you do not have an active subscription, it stays an optional customer-authorized route that the customer pays for directly.
Managed from the dashboard
Review provider keys, signed-in accounts, key pools, fallback order, and model file support from the router dashboard.
Next steps
Copy the hosted quickstart, compare model gateways, compare OpenRouter, estimate routing fit, request Max implementation review, or create the generated key.