Files
9router/skills/9router-chat/SKILL.md
decolua 5c62e73cc6 - Cowork: ComboFormModal
- BaseUrlSelect: add cloud endpoint option, custom URL local state, always
  default to first option; new cliEndpointMatch helper; CLI tool cards refactor
- API: new /v1/audio/voices and /v1/models/info; /v1/models filters disabled
  models, drop unused timestamp
- initializeApp: guard tunnel/tailscale auto-resume to once-per-process
- geminiHelper: ensureObjectType for schemas with properties but no type
- skills: minor SKILL.md tweaks (chat/embeddings/image/stt/tts/web-*)
2026-05-07 15:45:09 +07:00

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Markdown

---
name: 9router-chat
description: Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
---
# 9Router — Chat
Requires `NINEROUTER_URL` (and `NINEROUTER_KEY` if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
## Endpoints
- `POST $NINEROUTER_URL/v1/chat/completions` — OpenAI format
- `POST $NINEROUTER_URL/v1/messages` — Anthropic format
## Discover
```bash
curl $NINEROUTER_URL/v1/models | jq '.data[].id'
# Per-model metadata (contextWindow, params)
curl "$NINEROUTER_URL/v1/models/info?id=openai/gpt-4o"
```
Combos (e.g. `vip`, `mycodex`) auto-fallback through multiple providers.
## OpenAI format
```bash
curl -X POST $NINEROUTER_URL/v1/chat/completions \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-5","messages":[{"role":"user","content":"Hi"}],"stream":false}'
```
JS (OpenAI SDK):
```js
import OpenAI from "openai";
const client = new OpenAI({ baseURL: `${process.env.NINEROUTER_URL}/v1`, apiKey: process.env.NINEROUTER_KEY });
const res = await client.chat.completions.create({
model: "openai/gpt-5",
messages: [{ role: "user", content: "Hi" }],
stream: true,
});
for await (const chunk of res) process.stdout.write(chunk.choices[0]?.delta?.content || "");
```
## Anthropic format
```bash
curl -X POST $NINEROUTER_URL/v1/messages \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{"model":"cc/claude-opus-4-7","max_tokens":1024,"messages":[{"role":"user","content":"Hi"}]}'
```
## Response shape
OpenAI (`/v1/chat/completions`):
```json
{ "id": "chatcmpl-...", "object": "chat.completion", "model": "openai/gpt-5",
"choices": [{ "index": 0, "message": { "role": "assistant", "content": "Hello!" }, "finish_reason": "stop" }],
"usage": { "prompt_tokens": 8, "completion_tokens": 2, "total_tokens": 10 } }
```
Streaming (`stream:true`) emits SSE: `data: {choices:[{delta:{content:"..."}}]}\n\n` ... `data: [DONE]\n\n`.
Anthropic (`/v1/messages`):
```json
{ "id": "msg_...", "type": "message", "role": "assistant", "model": "cc/claude-opus-4-7",
"content": [{ "type": "text", "text": "Hello!" }],
"stop_reason": "end_turn", "usage": { "input_tokens": 8, "output_tokens": 2 } }
```