[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-venice-ai-venice-chat":3,"mdc-qjkwyp-key":37,"related-org-venice-ai-venice-chat":5103,"related-repo-venice-ai-venice-chat":5262},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":32,"sourceUrl":35,"mdContent":36},"venice-chat","interact with Venice chat completions API","Call POST \u002Fchat\u002Fcompletions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images\u002Faudio\u002Fvideo), tool calls, reasoning controls, streaming, prompt caching, structured output, and model feature suffixes.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"venice-ai","Venice AI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fvenice-ai.png","veniceai",[13,17,20,23],{"name":14,"slug":15,"type":16},"LLM","llm","tag",{"name":18,"slug":19,"type":16},"Multimodal","multimodal",{"name":21,"slug":22,"type":16},"Agents","agents",{"name":24,"slug":25,"type":16},"API Development","api-development",119,"https:\u002F\u002Fgithub.com\u002Fveniceai\u002Fskills","2026-08-01T05:43:15.821764",null,15,[],{"repoUrl":27,"stars":26,"forks":30,"topics":33,"description":34},[],"Agent Skills for the Venice.ai API. One folder per surface area, each with a SKILL.md for agent runtimes (Cursor, Claude, Codex, etc.).","https:\u002F\u002Fgithub.com\u002Fveniceai\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fvenice-chat","---\nname: venice-chat\ndescription: Call POST \u002Fchat\u002Fcompletions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images\u002Faudio\u002Fvideo), tool calls, reasoning controls, streaming, prompt caching, structured output, and model feature suffixes.\n---\n\n# Venice Chat Completions\n\n`POST \u002Fapi\u002Fv1\u002Fchat\u002Fcompletions` is Venice's main text endpoint. It's OpenAI-compatible, plus a `venice_parameters` object for Venice-only features.\n\n## Use when\n\n- You need LLM text generation, with or without tools, with or without streaming.\n- You want multimodal inputs (images, audio, video) to a vision\u002Faudio-capable model.\n- You want Venice-specific features: web search, E2EE, characters, xAI X\u002FTwitter search, strip-thinking, web scraping.\n- You need prompt caching for large system prompts or long documents.\n- You need structured (`json_schema`) output.\n\nFor the newer Alpha **Responses API**, see [`venice-responses`](..\u002Fvenice-responses\u002FSKILL.md).\n\n## Minimal request\n\n```bash\ncurl https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fchat\u002Fcompletions \\\n  -H \"Authorization: Bearer $VENICE_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\n    \"model\": \"zai-org-glm-5-1\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Why is the sky blue?\"}]\n  }'\n```\n\nResponse shape is the standard OpenAI `chat.completion` object (`id`, `object: \"chat.completion\"`, `choices[].message`, `usage`). With `stream: true`, responses come as SSE `data:` lines in `chat.completion.chunk` format.\n\n## The request body\n\n### Core fields (OpenAI-compatible)\n\n| Field | Notes |\n|---|---|\n| `model` | string — model ID, trait name, or compatibility mapping. Suffixes allowed (see below). Required. |\n| `messages` | array of `system` \u002F `developer` \u002F `user` \u002F `assistant` \u002F `tool` messages. Required, min 1. |\n| `temperature`, `top_p`, `top_k`, `min_p`, `min_temp`, `max_temp` | sampling controls |\n| `repetition_penalty`, `frequency_penalty`, `presence_penalty` | repetition controls |\n| `max_tokens` *(deprecated)* \u002F `max_completion_tokens` | upper bound on output tokens |\n| `n` | number of choices (keep `1` to minimize cost) |\n| `seed` | integer for reproducibility |\n| `stop` \u002F `stop_token_ids` | up to 4 strings, or raw token IDs |\n| `stream`, `stream_options.include_usage` | SSE streaming + include usage in the final chunk |\n| `response_format` | `{type:\"json_schema\", json_schema:{...}}` (preferred), `{type:\"json_object\"}`, or `{type:\"text\"}` |\n| `tools`, `tool_choice`, `parallel_tool_calls` | function calling \u002F built-in tools |\n| `logprobs`, `top_logprobs` | return token log-probabilities |\n| `reasoning.effort` \u002F `reasoning_effort` | `none` \\| `minimal` \\| `low` \\| `medium` \\| `high` \\| `xhigh` \\| `max` |\n| `reasoning.summary` | `auto` \\| `concise` \\| `detailed` |\n| `prompt_cache_key`, `prompt_cache_retention` (`default`\u002F`extended`\u002F`24h`) | prompt caching hints. `extended` and `24h` both extend retention to 24 hours on supported models |\n| `verbosity`, `text.verbosity` | `low`\u002F`medium`\u002F`high`\u002F`auto`. Also accepted as a root-level field, not only nested under `text` |\n| `include` | array of extra fields to include in the response (OpenAI compat) |\n| `fallbacks` | up to 10 entries. Anthropic beta parameter for Claude Fable 5 server-side refusal fallback. Forwarded only on direct Anthropic routes and ignored by every other provider |\n| `metadata` | key\u002Fvalue strings for tracking |\n| `user`, `store` | accepted but ignored (OpenAI compat) |\n\n### `venice_parameters` (Venice-only)\n\nAll optional. Combined with model feature suffixes, these are how you enable Venice features.\n\n| Field | Type | Default | Effect |\n|---|---|---|---|\n| `character_slug` | string | — | Apply a published Venice character. Slug is the \"Public ID\" on the character page. See [`venice-characters`](..\u002Fvenice-characters\u002FSKILL.md). |\n| `strip_thinking_response` | bool | `false` | Strip `\u003Cthink>...\u003C\u002Fthink>` from the assistant output on reasoning models. |\n| `disable_thinking` | bool | `false` | Disable thinking entirely on supported reasoning models and strip tags. |\n| `enable_e2ee` | bool | `true` | End-to-end encryption on E2EE-capable models when E2EE headers are present. Set to `false` to force TEE-only. |\n| `enable_web_search` | `\"off\"`\u002F`\"auto\"`\u002F`\"on\"` | `\"off\"` | Venice server-side web search. Citations arrive in the first streamed chunk or the response. |\n| `enable_web_scraping` | bool | `false` | Scrape any URLs found in the last user message (Firecrawl). |\n| `enable_web_citations` | bool | `false` | Ask the LLM to cite sources with `^1^` \u002F `^1,3^` superscripts. |\n| `include_search_results_in_stream` | bool | `false` | Experimental — emit search results as the first stream chunk. |\n| `return_search_results_as_documents` | bool | — | Also surface search results as a synthetic tool call `venice_web_search_documents` (LangChain-friendly). |\n| `include_venice_system_prompt` | bool | `true` | Prepend Venice's curated system prompt. Turn off for full control. |\n| `enable_x_search` | bool | `false` | xAI native web + X\u002FTwitter search (Grok models with `supportsXSearch`). Adds ~$0.01\u002Fsearch. |\n\n### Model feature suffixes\n\nSome `venice_parameters` can also be expressed as **model feature suffixes** on the `model` string — useful when the caller\u002Flibrary (OpenAI SDK, LangChain) can't set `venice_parameters`. Syntax:\n\n```\n\u003Cmodel-id>:\u003Ckey>=\u003Cvalue>[&\u003Ckey>=\u003Cvalue>…]\n```\n\nValues are URL-decoded. Supported keys (exact match):\n\n| Key | Type | Maps to |\n|---|---|---|\n| `enable_web_search` | `on` \u002F `off` \u002F `auto` | `venice_parameters.enable_web_search` |\n| `enable_web_citations` | `\"true\"` \u002F `\"false\"` | `venice_parameters.enable_web_citations` |\n| `enable_web_scraping` | `\"true\"` \u002F `\"false\"` | `venice_parameters.enable_web_scraping` |\n| `include_venice_system_prompt` | `\"true\"` \u002F `\"false\"` | `venice_parameters.include_venice_system_prompt` |\n| `include_search_results_in_stream` | `\"true\"` \u002F `\"false\"` | `venice_parameters.include_search_results_in_stream` |\n| `return_search_results_as_documents` | `\"true\"` \u002F `\"false\"` | `venice_parameters.return_search_results_as_documents` |\n| `character_slug` | string | `venice_parameters.character_slug` |\n| `strip_thinking_response` | `\"true\"` \u002F `\"false\"` | `venice_parameters.strip_thinking_response` |\n| `disable_thinking` | `\"true\"` \u002F `\"false\"` | `venice_parameters.disable_thinking` |\n\nUnknown keys are silently ignored. Examples:\n\n```\nzai-org-glm-5-1:enable_web_search=on\nkimi-k2-6:strip_thinking_response=true&enable_web_search=auto\nzai-org-glm-5-1:character_slug=alan-watts\n```\n\nNote: `enable_e2ee` and `enable_x_search` can **only** be set via `venice_parameters`, not as suffixes.\n\n## Messages and modalities\n\n`messages[].content` is either a string or an array of typed parts. Roles: `user`, `assistant`, `tool`, `system`, `developer` (reasoning models like o-series \u002F codex).\n\n### Text + image (`image_url`)\n\n```json\n{\n  \"model\": \"zai-org-glm-5-1\",\n  \"messages\": [{\n    \"role\": \"user\",\n    \"content\": [\n      {\"type\": \"text\", \"text\": \"What's in this image?\"},\n      {\"type\": \"image_url\", \"image_url\": {\"url\": \"https:\u002F\u002Fexample.com\u002Fcat.jpg\"}}\n    ]\n  }]\n}\n```\n\n- `url` accepts a public URL **or** `data:image\u002Fpng;base64,...`.\n- Models with `model_spec.capabilities.supportsMultipleImages: true` preserve images across the whole conversation; single-image vision models only keep images from the **last** user message. Check `model_spec.capabilities.maxImages` for the per-request cap.\n\n### Audio input (`input_audio`)\n\n```json\n{\n  \"role\": \"user\",\n  \"content\": [\n    {\"type\": \"text\", \"text\": \"Transcribe this clip.\"},\n    {\"type\": \"input_audio\", \"input_audio\": {\"data\": \"\u003Cbase64>\", \"format\": \"wav\"}}\n  ]\n}\n```\n\nFormats: `wav`, `mp3`, `aiff`, `aac`, `ogg`, `flac`, `m4a`, `pcm16`, `pcm24`. Audio URLs are **not** supported — always inline base64.\n\n### Video input (`video_url`)\n\n```json\n{\n  \"role\": \"user\",\n  \"content\": [\n    {\"type\": \"text\", \"text\": \"Summarize this.\"},\n    {\"type\": \"video_url\", \"video_url\": {\"url\": \"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=...\"}}\n  ]\n}\n```\n\nAccepts public URLs (including YouTube for some providers) or `data:video\u002Fmp4;base64,...`. Supported formats: `mp4`, `mpeg`, `mov`, `webm`.\n\n### Prompt caching (`cache_control`)\n\nAny text \u002F image_url \u002F input_audio \u002F video_url part can carry:\n\n```json\n{\"cache_control\": {\"type\": \"ephemeral\", \"ttl\": \"1h\"}}\n```\n\nCombine with `prompt_cache_key` and `prompt_cache_retention: \"24h\"` on the root request for predictable cache routing. Cache read \u002F write pricing is model-specific — check `model_spec.pricing` on `\u002Fmodels`.\n\n## Tools & function calling\n\n### Function tools\n\n```json\n{\n  \"tools\": [{\n    \"type\": \"function\",\n    \"function\": {\n      \"name\": \"get_weather\",\n      \"description\": \"Get current weather for a city\",\n      \"parameters\": {\n        \"type\": \"object\",\n        \"properties\": {\"city\": {\"type\": \"string\"}},\n        \"required\": [\"city\"]\n      },\n      \"strict\": true\n    }\n  }],\n  \"tool_choice\": \"auto\"\n}\n```\n\n- `tool_choice` can also be `\"required\"`, `\"none\"`, or `{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}}`.\n- `parallel_tool_calls: true` (default) lets the model emit multiple calls at once.\n- Respond by appending `{\"role\":\"tool\",\"tool_call_id\":\"...\",\"content\":\"...\"}` before the next call.\n\n### Built-in tools\n\n```json\n\"tools\": [{\"type\": \"web_search\"}, {\"type\": \"x_search\"}]\n```\n\nEquivalent to toggling `venice_parameters.enable_web_search` \u002F `enable_x_search`. `x_search` requires a model with `supportsXSearch`.\n\n## Reasoning models\n\nOn thinking models (GLM 5.1, Kimi K2.6, Claude Opus 4.7, GPT-5.4 Pro, …):\n\n```json\n{\n  \"model\": \"zai-org-glm-5-1\",\n  \"reasoning\": {\"effort\": \"medium\", \"summary\": \"auto\"},\n  \"venice_parameters\": {\"strip_thinking_response\": false},\n  \"messages\": [...]\n}\n```\n\n- `reasoning_effort` is the OpenAI-compatible flat variant (takes precedence over `reasoning.effort`).\n- Reasoning models may return `reasoning_content` or structured `reasoning_details[]` on the assistant message. **Pass `reasoning_details` back verbatim** in the next turn — it encodes thought signatures for providers like Claude Opus 4.7 and GPT-5.4 Pro.\n- Use `venice_parameters.disable_thinking: true` to skip thinking entirely on supported models.\n\n## Structured output (`response_format`)\n\n```json\n{\n  \"response_format\": {\n    \"type\": \"json_schema\",\n    \"json_schema\": {\n      \"type\": \"object\",\n      \"properties\": {\"name\": {\"type\": \"string\"}, \"age\": {\"type\": \"number\"}},\n      \"required\": [\"name\", \"age\"]\n    }\n  }\n}\n```\n\nPrefer `json_schema` over the legacy `json_object`. Plain text is the default (`{\"type\": \"text\"}`).\n\n## E2EE (end-to-end encryption)\n\nFor models advertising `supportsE2EE`:\n\n1. Perform an HPKE \u002F Noise handshake with Venice (see docs.venice.ai\u002Fe2ee).\n2. Send encrypted payload with the required E2EE request headers.\n3. Leave `venice_parameters.enable_e2ee` at default `true`, or set `false` to fall back to TEE-only.\n\nE2EE is **not** supported on `\u002Fresponses` — use `\u002Fchat\u002Fcompletions` for encrypted inference.\n\n## Streaming\n\n```json\n{\"stream\": true, \"stream_options\": {\"include_usage\": true}}\n```\n\n- Response is `text\u002Fevent-stream`. Each event is `data: {...chunk...}\\n\\n`, terminated by `data: [DONE]`.\n- `include_usage: true` adds a final chunk with token counts.\n- With `venice_parameters.include_search_results_in_stream: true`, the **first** chunk carries `venice_search_results`.\n\n## Web-search answers\n\nWhen `enable_web_search` is `\"auto\"` or `\"on\"`, the response includes `venice_parameters.web_search_citations[]` where each entry has `url`, `title`, `content` (snippet), and `date`. Turn on `enable_web_citations` to have the model insert `^1^` superscripts inline.\n\n## Error handling specifics\n\n- `402` — insufficient balance. Bearer: `INSUFFICIENT_BALANCE`. x402: `PAYMENT_REQUIRED` with structured `topUpInstructions` and `siwxChallenge`.\n- `422` — prompt violates Venice or provider content policy. May include `suggested_prompt`.\n- `413` — payload too large (mostly vision\u002Faudio).\n- `429` — rate limit. See `\u002Fapi_keys\u002Frate_limits` and [`venice-errors`](..\u002Fvenice-errors\u002FSKILL.md).\n\n## Common gotchas\n\n- `max_tokens` is deprecated — prefer `max_completion_tokens`.\n- Image URLs must be **publicly reachable** from Venice's network. Localhost \u002F signed S3 URLs without public access fail.\n- Audio inputs cannot be URLs — always base64.\n- Single-image vision models drop older images on each turn; chain them into the **last** user message.\n- For multi-turn with tools on Claude Opus 4.7, GPT-5.4 Pro, and similar, always round-trip `reasoning_details` unchanged.\n- `parallel_tool_calls: true` means you MUST be prepared to execute several tools in parallel before sending a single `tool`-role reply chain.\n- `character_slug` **replaces** the default Venice system prompt. 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See ",{"type":43,"tag":56,"props":4974,"children":4976},{"className":4975},[],[4977],{"type":49,"value":4978},"\u002Fapi_keys\u002Frate_limits",{"type":49,"value":931},{"type":43,"tag":131,"props":4981,"children":4983},{"href":4982},"..\u002Fvenice-errors\u002FSKILL.md",[4984],{"type":43,"tag":56,"props":4985,"children":4987},{"className":4986},[],[4988],{"type":49,"value":4989},"venice-errors",{"type":49,"value":142},{"type":43,"tag":73,"props":4992,"children":4994},{"id":4993},"common-gotchas",[4995],{"type":49,"value":4996},"Common gotchas",{"type":43,"tag":80,"props":4998,"children":4999},{},[5000,5016,5028,5033,5044,5056,5073],{"type":43,"tag":84,"props":5001,"children":5002},{},[5003,5008,5010,5015],{"type":43,"tag":56,"props":5004,"children":5006},{"className":5005},[],[5007],{"type":49,"value":567},{"type":49,"value":5009}," is deprecated — prefer ",{"type":43,"tag":56,"props":5011,"children":5013},{"className":5012},[],[5014],{"type":49,"value":582},{"type":49,"value":142},{"type":43,"tag":84,"props":5017,"children":5018},{},[5019,5021,5026],{"type":49,"value":5020},"Image URLs must be ",{"type":43,"tag":123,"props":5022,"children":5023},{},[5024],{"type":49,"value":5025},"publicly reachable",{"type":49,"value":5027}," from Venice's network. Localhost \u002F signed S3 URLs without public access fail.",{"type":43,"tag":84,"props":5029,"children":5030},{},[5031],{"type":49,"value":5032},"Audio inputs cannot be URLs — always base64.",{"type":43,"tag":84,"props":5034,"children":5035},{},[5036,5038,5042],{"type":49,"value":5037},"Single-image vision models drop older images on each turn; chain them into the ",{"type":43,"tag":123,"props":5039,"children":5040},{},[5041],{"type":49,"value":2382},{"type":49,"value":5043}," user message.",{"type":43,"tag":84,"props":5045,"children":5046},{},[5047,5049,5054],{"type":49,"value":5048},"For multi-turn with tools on Claude Opus 4.7, GPT-5.4 Pro, and similar, always round-trip ",{"type":43,"tag":56,"props":5050,"children":5052},{"className":5051},[],[5053],{"type":49,"value":4169},{"type":49,"value":5055}," unchanged.",{"type":43,"tag":84,"props":5057,"children":5058},{},[5059,5064,5066,5071],{"type":43,"tag":56,"props":5060,"children":5062},{"className":5061},[],[5063],{"type":49,"value":3728},{"type":49,"value":5065}," means you MUST be prepared to execute several tools in parallel before sending a single ",{"type":43,"tag":56,"props":5067,"children":5069},{"className":5068},[],[5070],{"type":49,"value":470},{"type":49,"value":5072},"-role reply chain.",{"type":43,"tag":84,"props":5074,"children":5075},{},[5076,5081,5082,5087,5089,5095],{"type":43,"tag":56,"props":5077,"children":5079},{"className":5078},[],[5080],{"type":49,"value":1123},{"type":49,"value":569},{"type":43,"tag":123,"props":5083,"children":5084},{},[5085],{"type":49,"value":5086},"replaces",{"type":49,"value":5088}," the default Venice system prompt. Combine with ",{"type":43,"tag":56,"props":5090,"children":5092},{"className":5091},[],[5093],{"type":49,"value":5094},"include_venice_system_prompt: false",{"type":49,"value":5096}," for total control.",{"type":43,"tag":5098,"props":5099,"children":5100},"style",{},[5101],{"type":49,"value":5102},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":5104,"total":5261},[5105,5119,5130,5143,5157,5172,5189,5202,5218,5229,5236,5250],{"slug":5106,"name":5106,"fn":5107,"description":5108,"org":5109,"tags":5110,"stars":26,"repoUrl":27,"updatedAt":5118},"venice-api-keys","manage Venice API keys and rate limits","Manage Venice API keys. Covers GET\u002FPOST\u002FPATCH\u002FDELETE \u002Fapi_keys, GET \u002Fapi_keys\u002F{id}, GET \u002Fapi_keys\u002Frate_limits, GET \u002Fapi_keys\u002Frate_limits\u002Flog, the two-step \u002Fapi_keys\u002Fgenerate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key consumption limits (USD \u002F DIEM).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5111,5112,5115],{"name":24,"slug":25,"type":16},{"name":5113,"slug":5114,"type":16},"Authentication","authentication",{"name":5116,"slug":5117,"type":16},"Security","security","2026-07-17T06:05:40.24171",{"slug":5120,"name":5120,"fn":5121,"description":5122,"org":5123,"tags":5124,"stars":26,"repoUrl":27,"updatedAt":5129},"venice-api-overview","integrate with Venice AI API","High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5125,5126],{"name":24,"slug":25,"type":16},{"name":5127,"slug":5128,"type":16},"Documentation","documentation","2026-08-01T05:43:18.703041",{"slug":5131,"name":5131,"fn":5132,"description":5133,"org":5134,"tags":5135,"stars":26,"repoUrl":27,"updatedAt":5142},"venice-audio-music","generate music and audio tracks","Async music \u002F audio-track generation via Venice. Covers the \u002Faudio\u002Fquote + \u002Faudio\u002Fqueue + \u002Faudio\u002Fretrieve + \u002Faudio\u002Fcomplete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5136,5139],{"name":5137,"slug":5138,"type":16},"Audio","audio",{"name":5140,"slug":5141,"type":16},"Creative","creative","2026-07-17T06:04:02.174106",{"slug":5144,"name":5144,"fn":5145,"description":5146,"org":5147,"tags":5148,"stars":26,"repoUrl":27,"updatedAt":5156},"venice-audio-speech","generate speech from text","Generate speech from text via POST \u002Faudio\u002Fspeech, and clone a voice via POST \u002Faudio\u002Fvoices. Covers TTS models (Kokoro, Qwen 3, xAI, Inworld, Chatterbox, Orpheus, ElevenLabs Turbo, MiniMax, Gemini Flash, Gradium), voices per family, cloned-voice handles, output formats (mp3\u002Fopus\u002Faac\u002Fflac\u002Fwav\u002Fpcm), streaming, prompt\u002Femotion styling, temperature\u002Ftop_p, and language hints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5149,5150,5153],{"name":5137,"slug":5138,"type":16},{"name":5151,"slug":5152,"type":16},"Speech","speech",{"name":5154,"slug":5155,"type":16},"Text-to-Speech","text-to-speech","2026-08-01T05:43:12.713524",{"slug":5158,"name":5158,"fn":5159,"description":5160,"org":5161,"tags":5162,"stars":26,"repoUrl":27,"updatedAt":5171},"venice-audio-transcription","transcribe audio files to text","Transcribe audio files to text via POST \u002Faudio\u002Ftranscriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), supported formats (wav\u002Fflac\u002Fm4a\u002Faac\u002Fmp4\u002Fmp3\u002Fogg\u002Fwebm), response formats (json\u002Ftext), timestamps, and language hints. OpenAI-compatible multipart.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5163,5164,5167,5168],{"name":5137,"slug":5138,"type":16},{"name":5165,"slug":5166,"type":16},"Data Extraction","data-extraction",{"name":5151,"slug":5152,"type":16},{"name":5169,"slug":5170,"type":16},"Transcription","transcription","2026-07-17T06:04:05.524355",{"slug":5173,"name":5173,"fn":5174,"description":5175,"org":5176,"tags":5177,"stars":26,"repoUrl":27,"updatedAt":5188},"venice-augment","extract and parse text from documents","Venice augmentation endpoints for agent pipelines. Covers POST \u002Faugment\u002Ftext-parser (extract text from PDF\u002FDOCX\u002FXLSX\u002Fplain text, multipart, up to 25MB, JSON or plain text response), POST \u002Faugment\u002Fscrape (fetch a URL and return markdown; blocks X\u002FReddit), and POST \u002Faugment\u002Fsearch (Brave ZDR or anonymized Google; structured title\u002Furl\u002Fcontent\u002Fdate results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5178,5179,5182,5185],{"name":5165,"slug":5166,"type":16},{"name":5180,"slug":5181,"type":16},"DOCX","docx",{"name":5183,"slug":5184,"type":16},"PDF","pdf",{"name":5186,"slug":5187,"type":16},"Spreadsheets","spreadsheets","2026-07-17T06:04:00.77979",{"slug":5190,"name":5190,"fn":5191,"description":5192,"org":5193,"tags":5194,"stars":26,"repoUrl":27,"updatedAt":5201},"venice-auth","authenticate to Venice API","Authenticate to the Venice API with a Bearer API key or with an x402 \u002F SIWX wallet (EVM on Base or Ed25519 on Solana). Covers the SIGN-IN-WITH-X header format, the SIWE and Solana message fields, TTL and nonce rules, the venice-x402-client SDK, and how to choose between the two modes.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5195,5196,5199],{"name":24,"slug":25,"type":16},{"name":5197,"slug":5198,"type":16},"Auth","auth",{"name":5200,"slug":5200,"type":16},"x402","2026-08-01T05:43:14.726965",{"slug":5203,"name":5203,"fn":5204,"description":5205,"org":5206,"tags":5207,"stars":26,"repoUrl":27,"updatedAt":5217},"venice-billing","manage Venice billing and usage analytics","Venice billing and usage analytics - GET \u002Fbilling\u002Fbalance, GET \u002Fbilling\u002Fusage-history (keyset-paginated per-request ledger, JSON or CSV), GET \u002Fbilling\u002Fusage (deprecated predecessor), and GET \u002Fbilling\u002Fusage-analytics (aggregated by date\u002Fmodel\u002Fkey). Covers the DIEM\u002FUSD\u002FBUNDLED_CREDITS consumption priority and building dashboards. (Beta)",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5208,5211,5214],{"name":5209,"slug":5210,"type":16},"Analytics","analytics",{"name":5212,"slug":5213,"type":16},"Finance","finance",{"name":5215,"slug":5216,"type":16},"Reporting","reporting","2026-08-01T05:43:13.766419",{"slug":1148,"name":1148,"fn":5219,"description":5220,"org":5221,"tags":5222,"stars":26,"repoUrl":27,"updatedAt":5228},"discover and use Venice AI characters","Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET \u002Fcharacters (search\u002Ffilter\u002Fsort), \u002Fcharacters\u002F{slug}, \u002Fcharacters\u002F{slug}\u002Freviews, the Character schema, and how to apply a character via venice_parameters.character_slug in chat completions.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5223,5224,5225],{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"name":5226,"slug":5227,"type":16},"Persona","persona","2026-07-17T06:05:40.942733",{"slug":4,"name":4,"fn":5,"description":6,"org":5230,"tags":5231,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5232,5233,5234,5235],{"name":21,"slug":22,"type":16},{"name":24,"slug":25,"type":16},{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"slug":5237,"name":5237,"fn":5238,"description":5239,"org":5240,"tags":5241,"stars":26,"repoUrl":27,"updatedAt":5249},"venice-crypto-rpc","proxy crypto JSON-RPC calls via Venice","Use Venice as a pay-per-call JSON-RPC proxy to 27 EVM, Starknet, and Solana networks. Covers GET \u002Fcrypto\u002Frpc\u002Fnetworks, POST \u002Fcrypto\u002Frpc\u002F{network}, chain families and per-family method allowlists, the 1×\u002F2×\u002F4× method-tier pricing model, per-minute + 24-hour credit rate limits, idempotency keys for safe retries, single vs batch requests, and the unsupported stateful\u002FWebSocket methods (eth_subscribe, eth_newFilter, *Subscribe, etc.).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5242,5243,5246],{"name":24,"slug":25,"type":16},{"name":5244,"slug":5245,"type":16},"Ethereum","ethereum",{"name":5247,"slug":5248,"type":16},"Web3","web3","2026-08-01T05:43:22.78028",{"slug":5251,"name":5251,"fn":5252,"description":5253,"org":5254,"tags":5255,"stars":26,"repoUrl":27,"updatedAt":5260},"venice-embeddings","generate embeddings with Venice API","Call POST \u002Fembeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip\u002Fbr), and practical usage for retrieval, clustering, and RAG.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5256,5259],{"name":5257,"slug":5258,"type":16},"Data Analysis","data-analysis",{"name":14,"slug":15,"type":16},"2026-07-17T06:07:34.97752",20,{"items":5263,"total":5261},[5264,5270,5275,5280,5286,5293,5300],{"slug":5106,"name":5106,"fn":5107,"description":5108,"org":5265,"tags":5266,"stars":26,"repoUrl":27,"updatedAt":5118},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5267,5268,5269],{"name":24,"slug":25,"type":16},{"name":5113,"slug":5114,"type":16},{"name":5116,"slug":5117,"type":16},{"slug":5120,"name":5120,"fn":5121,"description":5122,"org":5271,"tags":5272,"stars":26,"repoUrl":27,"updatedAt":5129},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5273,5274],{"name":24,"slug":25,"type":16},{"name":5127,"slug":5128,"type":16},{"slug":5131,"name":5131,"fn":5132,"description":5133,"org":5276,"tags":5277,"stars":26,"repoUrl":27,"updatedAt":5142},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5278,5279],{"name":5137,"slug":5138,"type":16},{"name":5140,"slug":5141,"type":16},{"slug":5144,"name":5144,"fn":5145,"description":5146,"org":5281,"tags":5282,"stars":26,"repoUrl":27,"updatedAt":5156},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5283,5284,5285],{"name":5137,"slug":5138,"type":16},{"name":5151,"slug":5152,"type":16},{"name":5154,"slug":5155,"type":16},{"slug":5158,"name":5158,"fn":5159,"description":5160,"org":5287,"tags":5288,"stars":26,"repoUrl":27,"updatedAt":5171},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5289,5290,5291,5292],{"name":5137,"slug":5138,"type":16},{"name":5165,"slug":5166,"type":16},{"name":5151,"slug":5152,"type":16},{"name":5169,"slug":5170,"type":16},{"slug":5173,"name":5173,"fn":5174,"description":5175,"org":5294,"tags":5295,"stars":26,"repoUrl":27,"updatedAt":5188},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5296,5297,5298,5299],{"name":5165,"slug":5166,"type":16},{"name":5180,"slug":5181,"type":16},{"name":5183,"slug":5184,"type":16},{"name":5186,"slug":5187,"type":16},{"slug":5190,"name":5190,"fn":5191,"description":5192,"org":5301,"tags":5302,"stars":26,"repoUrl":27,"updatedAt":5201},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[5303,5304,5305],{"name":24,"slug":25,"type":16},{"name":5197,"slug":5198,"type":16},{"name":5200,"slug":5200,"type":16}]