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LLM client — anthropic / openai / gemini adapters with a unified chat() + streamChat() facade. Used by AdiaUI's chat-shell and the A2UI generation pipeline; works in browser (with proxyUrl) and Node.","maintainers":[{"name":"kimgish-adia","email":"kim.granlund@adia.ai"}],"readme":"# `@adia-ai/llm`\n\nProvider-agnostic LLM client. Three adapters (anthropic / openai / gemini)\nbehind a single `chat()` + `streamChat()` facade. Works in browser and Node.\n\n## Install\n\n```bash\nnpm install @adia-ai/llm\n```\n\n## Usage\n\n```js\nimport { chat, streamChat } from '@adia-ai/llm';\n\n// Direct API call (apiKey owned by the caller)\nconst reply = await chat({\n  apiKey: 'sk-...',\n  model: 'gpt-4o-mini',\n  messages: [{ role: 'user', content: 'Hello' }],\n});\n\n// Streaming\nfor await (const chunk of streamChat({\n  apiKey: 'sk-...',\n  model: 'claude-haiku-4-5-20251001',\n  messages: [{ role: 'user', content: 'Hello' }],\n})) {\n  if (chunk.type === 'text') process.stdout.write(chunk.text);\n}\n```\n\n> **Browser dev-mode warning (since v0.4.3):** if `createAdapter()` resolves an `apiKey` while running in a browser, the bridge emits a one-shot masked `console.warn` (e.g. `sk-ant-a…Fiw-`) noting that the key will be sent in request headers. Fine for local dev — **never deploy this shape**. The warning is dedup'd via `window.__adia_llm_key_warning_shown` (one warn per page load). For production, use **proxy mode** (next section) to keep the key server-side.\n\n## Browser proxy mode\n\n`proxyUrl` routes through a server-side proxy so the API key never\nreaches the browser. The client supports **two proxy shapes** and\nauto-detects which to use based on the URL:\n\n### Smart proxy (provider-neutral body)\n\nThe default. Send any `proxyUrl` that doesn't match the passthrough\npattern below — typically your own backend route like `/api/chat`. The\nclient speaks a single provider-neutral protocol; the proxy holds the\nAPI key and dispatches internally to the right upstream adapter.\n\n```js\nfor await (const chunk of streamChat({\n  proxyUrl: '/api/chat',\n  provider: 'openai',          // optional — auto-detected from model\n  model: 'gpt-4o-mini',\n  messages: [{ role: 'user', content: 'Hello' }],\n})) { /* ... */ }\n```\n\nThe body sent to the proxy:\n\n```json\n{\n  \"provider\": \"openai\",\n  \"model\": \"gpt-4o-mini\",\n  \"messages\": [{ \"role\": \"user\", \"content\": \"Hello\" }],\n  \"system\": \"...optional...\",\n  \"maxTokens\": 4096,\n  \"temperature\": 0.7,\n  \"stream\": true\n}\n```\n\nThe proxy reformats per upstream provider and pipes SSE bytes\nverbatim. The reference smart-proxy implementation is at\n`packages/llm/core/server.js` in the chat-ui repo (route: `POST /api/chat`,\nplus `/api/generate`, `/api/generate/reset`, `/api/convert-html` for\nthe A2UI generation pipeline). It is **not** shipped with the npm\npackage — it's a development convenience for the in-repo apps.\n\nA `thinking: true` request also accepts an optional `thinkingBudget`\n(gh#3517): if the caller names no `maxTokens`, the anthropic body\nbuilder's own default grows to the budget plus 4096 tokens of answer\nheadroom instead of the plain 4096 default, so the default 4000-token\nthinking budget isn't silently clamped down to leave no room to answer.\nAn explicit `maxTokens` is left untouched; the adapter still enforces\nthe provider floor (`budget_tokens >= 1024`, `< max_tokens`).\n\n### Passthrough proxy (real upstream body)\n\nWhen `proxyUrl` matches `/api/llm/<provider>/<rest>` (the Vite-dev\nshape used by `chat-ui` apps), the client switches to passthrough\nmode. The proxy is \"dumb\" — it just rewrites the URL to the real\nupstream (`https://api.<provider>.com/<rest>`) and forwards bytes\nunchanged. The client sends the **real upstream body shape** plus the\nadapter's normal auth headers.\n\nThis is auto-detected — you don't pick it explicitly. If you mounted\na Vite proxy like:\n\n```js\n// vite.config.js\nserver: {\n  proxy: {\n    '/api/llm/anthropic': {\n      target: 'https://api.anthropic.com',\n      rewrite: (p) => p.replace(/^\\/api\\/llm\\/anthropic/, ''),\n    },\n  },\n},\n```\n\n…then passing `proxyUrl: '/api/llm/anthropic/v1/messages'` will\nproduce a request the upstream understands directly.\n\n| Shape | URL pattern | Body | Auth header | Use when |\n|---|---|---|---|---|\n| Smart | `/api/chat` (anything non-passthrough) | provider-neutral | none (server holds key) | You control the proxy and want one route across providers |\n| Passthrough | `/api/llm/<provider>/<rest>` | real upstream shape | adapter's own (e.g. `x-api-key`) | You're using Vite/nginx URL-rewrite and don't want server-side dispatch |\n\nDetection lives in `adapters/index.js` — regex\n`/\\/api\\/llm\\/[a-z]+(\\/|$)/`.\n\n### Production deployment\n\nNeither `server.js` (smart proxy reference) nor any Vite/nginx URL\nrewrite (passthrough reference) is shipped by the npm package — both\nare development-time conveniences for the in-repo apps. Production\nconsumers must **deploy their own proxy**: a small server that holds\nyour provider API key(s) and either:\n\n1. **Speaks the smart-proxy contract** — accepts the provider-neutral\n   body documented above and dispatches per-provider. See\n   `packages/llm/core/server.js` for a reference implementation (Express +\n   `chat`/`streamChat` from this package, ~150 LOC).\n2. **Speaks the passthrough contract** — exposes\n   `/api/llm/<provider>/<rest>` and forwards to\n   `https://api.<provider>.com/<rest>` with the real API-key header\n   injected server-side. See the Vite config snippet above for the\n   shape; a 50-line nginx or Express proxy works fine.\n\nEither contract works — the client auto-detects which one your proxy\nimplements by URL shape. Pick the one that matches your existing\ninfrastructure.\n\n#### Platform-native gateways (no proxy code needed)\n\nIf your VM runs on a managed platform that provides an **LLM Gateway**\nnatively (e.g. **exe.dev** at `http://169.254.169.254/gateway/llm/<provider>/<rest>`\non every VM, included in subscription), the cleanest production deploy\nskips both contracts above and just **reverse-proxies `/api/llm/*`\nthrough Caddy/nginx directly to the platform endpoint**. No API key\nin app config, no hand-rolled proxy code, no per-cycle maintenance —\nthe platform handles auth, billing, model selection.\n\nThe AdiaUI repo demonstrates this pattern. `infra/caddy/llm-gateway.snippet`\nholds a drop-in Caddyfile fragment for exe.dev VMs. The §188 (v0.5.5)\narc deleted ~155 LOC of hand-rolled passthrough from `server.js` in\nfavor of this approach. See `.claude/docs/specs/exe-dev-platform-reference.md`\n+ `.claude/docs/guides/production-llm-proxy-deployment.md` for the full\nrecipe (the architectural migration arc lives in git history around v0.5.5).\n\n**Stage 0b recon checklist**: before hand-rolling a proxy, check whether\nyour platform provides one natively. Look for `LLM Gateway` / `AI` /\n`Inference` in the platform's docs. Other platforms with similar\ngateways: Cloudflare AI Gateway, AWS Bedrock proxy, Azure OpenAI\nprivate endpoints. Match shape; check pricing; prefer platform-native\nover hand-rolled when available.\n\n## Subpath exports\n\n| Subpath | Purpose |\n|---------|---------|\n| `@adia-ai/llm` | Default: `chat`, `streamChat`, `createClient` |\n| `@adia-ai/llm/bridge` | `createAdapter` — wraps the facade in the A2UI pipeline's adapter interface |\n| `@adia-ai/llm/stub` | `StubLLMAdapter` — deterministic adapter for tests |\n| `@adia-ai/llm/adapters/anthropic` | Direct adapter object |\n| `@adia-ai/llm/adapters/openai` | Direct adapter object |\n| `@adia-ai/llm/adapters/gemini` | Direct adapter object |\n","readmeFilename":"README.md"}