[{"data":1,"prerenderedAt":49},["ShallowReactive",2],{"docs:providers/novita":3},{"title":4,"navTitle":4,"description":5,"api":6,"html":7,"toc":8,"path":38,"tab":39,"group":40,"prev":41,"next":44,"markdownUrl":47,"sourceUrl":48,"lastModified":6},"@standardagents/novita","Novita AI provider package for Standard Agents using Novita's OpenAI-compatible Chat Completions API",null,"\u003Caside class=\"docs-callout\" data-kind=\"info\" role=\"note\">\u003Cp>For direct access, set \u003Ccode>NOVITA_API_KEY\u003C/code> in your environment. Standard Agents Builder can use hosted routing through \u003Ccode>STANDARD_AGENTS_API_KEY\u003C/code> when the provider key is absent. Hosted access depends on platform configuration.\u003C/p>\u003C/aside>\n\u003Ch2 id=\"overview\">\u003Ca class=\"docs-anchor\" href=\"#overview\" aria-label=\"Link to this section\">\u003C/a>Overview\u003C/h2>\n\u003Cp>The \u003Ccode>@standardagents/novita\u003C/code> package provides a Novita AI provider factory for Standard Agents. It targets Novita's OpenAI-compatible Chat Completions API and adds typed \u003Ccode>providerOptions\u003C/code>, authenticated model discovery, request inspection, tool calling, streaming, structured outputs, and live catalog pricing.\u003C/p>\n\u003Cdiv class=\"docs-card\">\u003Cspan class=\"docs-icon\" data-icon=\"zap\">\u003C/span>\u003Cspan class=\"docs-card-title\">Key Features\u003C/span>\u003Cdiv class=\"docs-card-body\">\u003Cul>\n\u003Cli>Direct integration with \u003Ccode>https://api.novita.ai/openai/v1/chat/completions\u003C/code>\u003C/li>\n\u003Cli>Live model discovery from \u003Ccode>https://api.novita.ai/openai/v1/models\u003C/code>\u003C/li>\n\u003Cli>Tool calling, structured outputs, streaming, and reasoning controls\u003C/li>\n\u003Cli>Catalog price normalization into \u003Ccode>inputPrice\u003C/code>, \u003Ccode>outputPrice\u003C/code>, \u003Ccode>cachedPrice\u003C/code>, and \u003Ccode>usage.pricing\u003C/code>\u003C/li>\n\u003C/ul>\u003C/div>\u003C/div>\n\u003Ch2 id=\"installation\">\u003Ca class=\"docs-anchor\" href=\"#installation\" aria-label=\"Link to this section\">\u003C/a>Installation\u003C/h2>\n\u003Cdiv class=\"docs-tabs docs-code-group\" data-docs=\"tabs\" data-sync=\"pkg\">\u003Csection class=\"docs-tab\" data-label=\"npm\">\u003Ch4 class=\"docs-tab-label\">npm\u003C/h4>\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"bash\">\u003Cfigcaption class=\"docs-code-title\">npm\u003C/figcaption>\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#4078F2;--shiki-dark:#B392F0\">npm\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> install\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> @standardagents/novita\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\u003C/section>\u003Csection class=\"docs-tab\" data-label=\"pnpm\">\u003Ch4 class=\"docs-tab-label\">pnpm\u003C/h4>\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"bash\">\u003Cfigcaption class=\"docs-code-title\">pnpm\u003C/figcaption>\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#4078F2;--shiki-dark:#B392F0\">pnpm\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> add\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> @standardagents/novita\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\u003C/section>\u003Csection class=\"docs-tab\" data-label=\"yarn\">\u003Ch4 class=\"docs-tab-label\">yarn\u003C/h4>\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"bash\">\u003Cfigcaption class=\"docs-code-title\">yarn\u003C/figcaption>\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#4078F2;--shiki-dark:#B392F0\">yarn\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> add\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> @standardagents/novita\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\u003C/section>\u003C/div>\n\u003Ch2 id=\"quick-start\">\u003Ca class=\"docs-anchor\" href=\"#quick-start\" aria-label=\"Link to this section\">\u003C/a>Quick Start\u003C/h2>\n\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"typescript\">\u003Cfigcaption class=\"docs-code-title\">agents/models/novita_reasoning.ts\u003C/figcaption>\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">import\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> { \u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">defineModel\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> } \u003C/span>\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">from\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> '@standardagents/spec'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">;\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">import\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> { \u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">novita\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> } \u003C/span>\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">from\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> '@standardagents/novita'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">;\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">export\u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#F97583\"> default\u003C/span>\u003Cspan style=\"--shiki-light:#4078F2;--shiki-dark:#B392F0\"> defineModel\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">({\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  name\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> 'novita-reasoning'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  provider\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\"> novita\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  model\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> 'deepseek/deepseek-v3.2'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">});\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\n\u003Ch2 id=\"provider-options\">\u003Ca class=\"docs-anchor\" href=\"#provider-options\" aria-label=\"Link to this section\">\u003C/a>Provider Options\u003C/h2>\n\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"typescript\">\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">import\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> { \u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">defineModel\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> } \u003C/span>\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">from\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> '@standardagents/spec'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">;\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">import\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> { \u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">novita\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> } \u003C/span>\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">from\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> '@standardagents/novita'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">;\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#A626A4;--shiki-dark:#F97583\">export\u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#F97583\"> default\u003C/span>\u003Cspan style=\"--shiki-light:#4078F2;--shiki-dark:#B392F0\"> defineModel\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">({\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  name\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> 'novita-agentic'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  provider\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\"> novita\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  model\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\"> 'zai-org/glm-5.2'\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">  providerOptions\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\"> {\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">    seed\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#986801;--shiki-dark:#79B8FF\"> 42\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">    top_k\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#986801;--shiki-dark:#79B8FF\"> 40\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">    separate_reasoning\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#986801;--shiki-dark:#79B8FF\"> true\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">    enable_thinking\u003C/span>\u003Cspan style=\"--shiki-light:#0184BC;--shiki-dark:#E1E4E8\">:\u003C/span>\u003Cspan style=\"--shiki-light:#986801;--shiki-dark:#79B8FF\"> true\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">,\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">  },\u003C/span>\u003C/span>\n\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#E1E4E8\">});\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\n\u003Ch3 id=\"available-options\">\u003Ca class=\"docs-anchor\" href=\"#available-options\" aria-label=\"Link to this section\">\u003C/a>Available Options\u003C/h3>\n\u003Cdiv class=\"docs-table\">\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Option\u003C/th>\n\u003Cth>Type\u003C/th>\n\u003Cth>Description\u003C/th>\n\u003C/tr>\n\u003C/thead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>\u003Ccode>seed\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Best-effort deterministic sampling seed\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>frequency_penalty\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Penalize repeated tokens based on frequency\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>presence_penalty\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Penalize repeated tokens based on presence\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>repetition_penalty\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Novita repetition penalty\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>top_k\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Top-k sampling limit\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>min_p\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Minimum probability threshold relative to the most likely token\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>logit_bias\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>Record<string, number>\u003C/code>\u003C/td>\n\u003Ctd>Token logit biases\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>logprobs\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>boolean\u003C/code>\u003C/td>\n\u003Ctd>Return output token log probabilities\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>top_logprobs\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>number\u003C/code>\u003C/td>\n\u003Ctd>Number of top logprobs to return\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>separate_reasoning\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>boolean\u003C/code>\u003C/td>\n\u003Ctd>Request reasoning content separately when supported\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>enable_thinking\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>boolean\u003C/code>\u003C/td>\n\u003Ctd>Enable or disable model thinking when supported\u003C/td>\n\u003C/tr>\n\u003Ctr>\n\u003Ctd>\u003Ccode>modalities\u003C/code>\u003C/td>\n\u003Ctd>\u003Ccode>string[]\u003C/code>\u003C/td>\n\u003Ctd>Output modalities for models that can return audio\u003C/td>\n\u003C/tr>\n\u003C/tbody>\n\u003C/table>\u003C/div>\n\u003Cp>The schema is passthrough, so newly documented Novita fields can be supplied before this package adds first-class typings.\u003C/p>\n\u003Ch2 id=\"model-ids\">\u003Ca class=\"docs-anchor\" href=\"#model-ids\" aria-label=\"Link to this section\">\u003C/a>Model IDs\u003C/h2>\n\u003Cp>Novita model IDs are sent directly, for example:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Ccode>zai-org/glm-5.2\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>moonshotai/kimi-k2.7-code\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>minimax/minimax-m3\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>deepseek/deepseek-v4-pro\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>deepseek/deepseek-v4-flash\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>deepseek/deepseek-v3.2\u003C/code>\u003C/li>\n\u003C/ul>\n\u003Cp>The provider reads authenticated model metadata from \u003Ccode>https://api.novita.ai/openai/v1/models\u003C/code> and exposes those models in the Standard Agents UI.\u003C/p>\n\u003Cp>Novita reports catalog prices as scaled integers. Tiered models use the request's prompt token count to select the applicable catalog tier. The provider normalizes those values to USD per 1M tokens before returning \u003Ccode>inputPrice\u003C/code>, \u003Ccode>outputPrice\u003C/code>, \u003Ccode>cachedPrice\u003C/code>, and per-request \u003Ccode>usage.pricing\u003C/code>.\u003C/p>\n\u003Cp>When Novita includes \u003Ccode>pricing.input_cache_read.price_per_m\u003C/code>, the provider maps it to \u003Ccode>usage.pricing.cachedInputPerMillion\u003C/code> and uses it for \u003Ccode>prompt_tokens_details.cached_tokens\u003C/code>. Cache write tokens remain normal prompt input tokens and are priced at the standard input rate.\u003C/p>\n\u003Cp>Custom or private Novita models should still set \u003Ccode>inputPrice\u003C/code>, \u003Ccode>outputPrice\u003C/code>, and \u003Ccode>cachedPrice\u003C/code> explicitly if they do not appear in Novita's model catalog.\u003C/p>\n\u003Ch2 id=\"environment-setup\">\u003Ca class=\"docs-anchor\" href=\"#environment-setup\" aria-label=\"Link to this section\">\u003C/a>Environment Setup\u003C/h2>\n\u003Cfigure class=\"docs-code\" data-docs=\"code\" data-lang=\"bash\">\u003Cfigcaption class=\"docs-code-title\">.dev.vars\u003C/figcaption>\u003Cpre class=\"shiki shiki-themes one-light github-dark\" style=\"--shiki-light:#383A42;--shiki-dark:#e1e4e8;--shiki-light-bg:#FAFAFA;--shiki-dark-bg:#24292e\" tabindex=\"0\">\u003Ccode>\u003Cspan class=\"line\">\u003Cspan style=\"--shiki-light:#E45649;--shiki-dark:#E1E4E8\">NOVITA_API_KEY\u003C/span>\u003Cspan style=\"--shiki-light:#383A42;--shiki-dark:#F97583\">=\u003C/span>\u003Cspan style=\"--shiki-light:#50A14F;--shiki-dark:#9ECBFF\">...\u003C/span>\u003C/span>\u003C/code>\u003C/pre>\u003C/figure>\n\u003Cp>For a deployed project, set \u003Ccode>NOVITA_API_KEY\u003C/code> in your project's environment settings on the Standard Agents platform.\u003C/p>\n\u003Ch2 id=\"notes\">\u003Ca class=\"docs-anchor\" href=\"#notes\" aria-label=\"Link to this section\">\u003C/a>Notes\u003C/h2>\n\u003Cul>\n\u003Cli>The provider uses Chat Completions, not OpenAI Responses.\u003C/li>\n\u003Cli>Novita's model catalog requires authentication.\u003C/li>\n\u003Cli>A prompt's explicit \u003Ccode>reasoning.level\u003C/code> maps to the model's native reasoning control. A level of \u003Ccode>0\u003C/code> requests no reasoning. When the model supports disabling thinking, the provider disables it. When the level is omitted, native settings in \u003Ccode>providerOptions\u003C/code> apply.\u003C/li>\n\u003Cli>For custom base URLs, configure the provider \u003Ccode>baseUrl\u003C/code> slot with the full OpenAI-compatible base, such as \u003Ccode>https://api.novita.ai/openai/v1\u003C/code>.\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"related\">\u003Ca class=\"docs-anchor\" href=\"#related\" aria-label=\"Link to this section\">\u003C/a>Related\u003C/h2>\n\u003Cdiv class=\"docs-card-group\" data-cols=\"2\">\u003Ca class=\"docs-card\" href=\"/docs/core-concepts/models\">\u003Cspan class=\"docs-icon\" data-icon=\"brain\">\u003C/span>\u003Cspan class=\"docs-card-title\">Models\u003C/span>\u003Cdiv class=\"docs-card-body\">\u003Cp>Core model concepts\u003C/p>\u003C/div>\u003C/a>\u003Ca class=\"docs-card\" href=\"/docs/providers/cerebras\">\u003Cspan class=\"docs-icon\" data-icon=\"zap\">\u003C/span>\u003Cspan class=\"docs-card-title\">Cerebras Provider\u003C/span>\u003Cdiv class=\"docs-card-body\">\u003Cp>Compare another Chat Completions provider\u003C/p>\u003C/div>\u003C/a>\u003Ca class=\"docs-card\" href=\"/docs/providers/openrouter\">\u003Cspan class=\"docs-icon\" data-icon=\"route\">\u003C/span>\u003Cspan class=\"docs-card-title\">OpenRouter Provider\u003C/span>\u003Cdiv class=\"docs-card-body\">\u003Cp>Compare with a multi-provider gateway\u003C/p>\u003C/div>\u003C/a>\u003C/div>",[9,13,16,19,22,26,29,32,35],{"id":10,"text":11,"depth":12},"overview","Overview",2,{"id":14,"text":15,"depth":12},"installation","Installation",{"id":17,"text":18,"depth":12},"quick-start","Quick Start",{"id":20,"text":21,"depth":12},"provider-options","Provider Options",{"id":23,"text":24,"depth":25},"available-options","Available Options",3,{"id":27,"text":28,"depth":12},"model-ids","Model IDs",{"id":30,"text":31,"depth":12},"environment-setup","Environment Setup",{"id":33,"text":34,"depth":12},"notes","Notes",{"id":36,"text":37,"depth":12},"related","Related","providers/novita","docs","Providers",{"path":42,"title":43,"navTitle":43},"providers/groq","@standardagents/groq",{"path":45,"title":46,"navTitle":46},"providers/openai","@standardagents/openai","/docs/providers/novita.md","https://github.com/standardagents/agentbuilder/blob/main/docs/providers/novita.mdx",1794580509893]