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}.claude, .codex, or opencode configs. back up what's there first if you already use these CLIs. .claude if it doesn't exist. dot-folders may be hidden in finder. create the folder: mkdir $HOME\.claude in powershell — explorer won't make dotfolders. .codex if it doesn't exist. dot-folders may be hidden in finder. create the folder: mkdir $HOME\.codex in powershell — explorer won't make dotfolders. export GOOGLE_GEMINI_BASE_URL=https://vip.jewproxy.tech/proxy/google-ai export GEMINI_API_KEY=YOUR_PROXY_TOKEN GOOGLE_GEMINI_BASE_URL into the sandbox — run unsandboxed against this proxy (upstream google-gemini/gemini-cli#2168). ~/.config/opencode if it doesn't exist. the config uses this proxy as an OpenAI-compatible upstream. create the folder: mkdir $HOME\.config\opencode in powershell. if you run OpenCode in WSL, use the WSL path instead. model or the provider model list to use any model this proxy exposes.jewproxy = api access to many ai models, billed via one token. every app needs the same three values: a base url, an api key, and a model name.
claude opus 4.8, claude fable 5.1, claude fable 5, or claude sonnet 5 in sillytavern, use the openrouter base url (next tab). that's the route most people miss.gemini 3.1, use the google-ai endpoint. same setup, different base url.three lines of config. follow them in order.
https://vip.jewproxy.tech/proxy/openrouter/v1 claude opus 4.8, claude fable 5.1, claude fable 5, or claude sonnet 5 (or another paid openrouter model)show paid openrouter models). it loads the live list, so you can copy the exact name into your app to avoid typos. https://vip.jewproxy.tech/proxy/openrouter/v1claude opus 4.8 · claude fable 5.1 · claude fable 5 · claude sonnet 5 · or another from the dropdowna visual ui for both image and video generation. no api setup required.
https://img.jewproxy.tech the image api, taught as a process. run export TOKEN="..." once with your jewproxy token — every command below sends $TOKEN, never a vendor key. then pick the tab whose model id you have: the id format has already chosen the route. four steps per provider — pick, send, read, fail.
gpt-image* id with no vendor prefix means the native openai route — this tab. a vendor/slug id belongs on the openrouter tab instead, and a bare gemini *-image id on the google tab. pick a model below; the command in step 02 rewrites itself.GET https://vip.jewproxy.tech/proxy/openai-image/v1/models — the selector shows the common ones; the full list is live/v1/images/generations. the bearer header carries $TOKEN. the body is just model + prompt — optional size, quality, n, and response_format fields exist, and gpt-image-2 is the default if you omit the model.curl --request POST \
--url https://vip.jewproxy.tech/proxy/openai-image/v1/images/generations \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data '{"model": "gpt-image-2", "prompt": "a lighthouse at dawn, oil painting"}'data[0].url and is hosted by the proxy — open it or download it. no job id, no polling.data[0].url — proxy-hostedModel family 'gpt-image' is not enabled on this proxy — an admin must allow-list the family. your request was fine.OpenAI image generation is unavailable or not yet verified on this proxy. — the proxy's upstream key is the problem; report it to the admin.You've exceeded your token quota for this model type. means quota: wait for the reset or top up. otherwise it's the rate bucket (4/min default): slow down and retry.error.code and error.type are always present on image routes — read them first, they name the failure before you guess./proxy/openai/v1/chat/completions does not generate images, whichever model id you send it.vendor/slug id — openai/gpt-image-2, black-forest-labs/flux.2-pro — routes to the normalized /images api. the prefix is the cue. this one route speaks for many vendors, so its fields are normalized too (step 02). pick a model below; the command rewrites itself.GET https://vip.jewproxy.tech/proxy/images/v1/models — the selector shows the common ones; the full list is live/images/v1/generations with normalized fields — prompt, negative_prompt, count, quality, image_size (0.5K–4K), aspect_ratio. size does not exist here; that's the native route's word. the answer is 202 accepted with an imgjob_ id — 202 is not success, it only means queued. phase two polls GET /images/v1/generations/$JOB_ID until the status stops being accepted. the script below does both.JOB_ID=$(curl --request POST \
--url https://vip.jewproxy.tech/proxy/images/v1/generations \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data '{"model": "openai/gpt-image-2", "prompt": "a lighthouse at dawn, oil painting", "count": 1, "aspect_ratio": "1:1", "image_size": "1K", "quality": "auto"}' | jq -r .id)
while :; do
RESPONSE=$(curl --silent https://vip.jewproxy.tech/proxy/images/v1/generations/$JOB_ID \
--header "Authorization: Bearer $TOKEN")
STATUS=$(echo "$RESPONSE" | jq -r .status)
[ "$STATUS" = "accepted" ] || break
sleep 2
done
URL=$(echo "$RESPONSE" | jq -r '.images[0].url // empty')
if [ -z "$URL" ]; then echo "$RESPONSE" | jq -r .error.message >&2; exit 1; fi
echo "$URL"accepted, the poll is the verdict. on success the image is at images[0].url, hosted by the proxy, and the script prints it. on failure the script pushes .error.message to stderr and exits 1 — that message tells you which side failed.images[0].url — proxy-hosted, after the pollYou've exceeded your token quota for this model type. means wait for the reset or top up.error.code and error.type are always present on image routes — read them first, they name the failure before you guess./proxy/openrouter/v1/chat/completions cannot make images — only this /images route can.-image — gemini-3.1-flash-image, gemini-3-pro-image — takes the native google-ai route. same rule as the other tabs: the id format chooses the route, and here it chose this one. pick a model below; the command rewrites itself.GET https://vip.jewproxy.tech/proxy/google-ai/v1/models — the selector shows the common ones; the full list is live/v1beta/models/<id>:generateContent. the body is google-shaped: contents[] carries the prompt text, generationConfig.responseModalities asks for IMAGE, and imageConfig sets aspectRatio and imageSize. the bearer header is $TOKEN as always.curl --request POST \
--url https://vip.jewproxy.tech/proxy/google-ai/v1beta/models/gemini-3.1-flash-image:generateContent \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data '{"contents": [{"role": "user", "parts": [{"text": "a lighthouse at dawn, oil painting"}]}], "generationConfig": {"responseModalities": ["IMAGE"], "imageConfig": {"aspectRatio": "1:1", "imageSize": "1K"}}}' \
| jq -r '.candidates[0].content.parts[] | select(.inlineData) | .inlineData.data' | head -n1 | base64 -d > image.pngcandidates[0].content.parts[].inlineData.data. the jq pipe in the command extracts that field and decodes it into image.png — you materialize the file yourself.image.png — no hosted url on this routeYou've exceeded your token quota for this model type. means wait for the reset or top up.error.code and error.type are always present on image routes — read them first, they name the failure before you guess.for local cli agents (claude code, codex, or opencode).
how to use)