Venice Chat Completions

POST /api/v1/chat/completions is Venice's main text endpoint. It's OpenAI-compatible, plus a venice_parameters object for Venice-only features.

Use when

• You need LLM text generation, with or without tools, with or without streaming.
• You want multimodal inputs (images, audio, video) to a vision/audio-capable model.
• You want Venice-specific features: web search, E2EE, characters, xAI X/Twitter search, strip-thinking, web scraping.
• You need prompt caching for large system prompts or long documents.
• You need structured (json_schema) output.

For the newer Alpha Responses API, see venice-responses.

Minimal request

bash
curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5-1",
    "messages": [{"role": "user", "content": "Why is the sky blue?"}]
  }'

Response 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.

The request body

Core fields (OpenAI-compatible)

| Field | Notes | |---|---| | model | string — model ID, trait name, or compatibility mapping. Suffixes allowed (see below). Required. | | messages | array of system / developer / user / assistant / tool messages. Required, min 1. | | temperature, top_p, top_k, min_p, min_temp, max_temp | sampling controls | | repetition_penalty, frequency_penalty, presence_penalty | repetition controls | | max_tokens (deprecated) / max_completion_tokens | upper bound on output tokens | | n | number of choices (keep 1 to minimize cost) | | seed | integer for reproducibility | | stop / stop_token_ids | up to 4 strings, or raw token IDs | | stream, stream_options.include_usage | SSE streaming + include usage in the final chunk | | response_format | {type:"json_schema", json_schema:{...}} (preferred), {type:"json_object"}, or {type:"text"} | | tools, tool_choice, parallel_tool_calls | function calling / built-in tools | | logprobs, top_logprobs | return token log-probabilities | | reasoning.effort / reasoning_effort | none \| minimal \| low \| medium \| high \| xhigh \| max | | reasoning.summary | auto \| concise \| detailed | | prompt_cache_key, prompt_cache_retention (default/extended/24h) | prompt caching hints | | text.verbosity | low/medium/high/auto | | metadata | key/value strings for tracking | | user, store | accepted but ignored (OpenAI compat) |

venice_parameters (Venice-only)

All optional. Combined with model feature suffixes, these are how you enable Venice features.

| Field | Type | Default | Effect | |---|---|---|---| | character_slug | string | — | Apply a published Venice character. Slug is the "Public ID" on the character page. See venice-characters. | | strip_thinking_response | bool | false | Strip <think>...</think> from the assistant output on reasoning models. | | disable_thinking | bool | false | Disable thinking entirely on supported reasoning models and strip tags. | | enable_e2ee | bool | true | End-to-end encryption on E2EE-capable models when E2EE headers are present. Set to false to force TEE-only. | | enable_web_search | "off"/"auto"/"on" | "off" | Venice server-side web search. Citations arrive in the first streamed chunk or the response. | | enable_web_scraping | bool | false | Scrape any URLs found in the last user message (Firecrawl). | | enable_web_citations | bool | false | Ask the LLM to cite sources with ^1^ / ^1,3^ superscripts. | | include_search_results_in_stream | bool | false | Experimental — emit search results as the first stream chunk. | | return_search_results_as_documents | bool | — | Also surface search results as a synthetic tool call venice_web_search_documents (LangChain-friendly). | | include_venice_system_prompt | bool | true | Prepend Venice's curated system prompt. Turn off for full control. | | enable_x_search | bool | false | xAI native web + X/Twitter search (Grok models with supportsXSearch). Adds ~$0.01/search. |

Model feature suffixes

Some venice_parameters can also be expressed as model feature suffixes on the model string — useful when the caller/library (OpenAI SDK, LangChain) can't set venice_parameters. Syntax:

<model-id>:<key>=<value>[&<key>=<value>…]

Values are URL-decoded. Supported keys (exact match):

| Key | Type | Maps to | |---|---|---| | enable_web_search | on / off / auto | venice_parameters.enable_web_search | | enable_web_citations | "true" / "false" | venice_parameters.enable_web_citations | | enable_web_scraping | "true" / "false" | venice_parameters.enable_web_scraping | | include_venice_system_prompt | "true" / "false" | venice_parameters.include_venice_system_prompt | | include_search_results_in_stream | "true" / "false" | venice_parameters.include_search_results_in_stream | | return_search_results_as_documents | "true" / "false" | venice_parameters.return_search_results_as_documents | | character_slug | string | venice_parameters.character_slug | | strip_thinking_response | "true" / "false" | venice_parameters.strip_thinking_response | | disable_thinking | "true" / "false" | venice_parameters.disable_thinking |

Unknown keys are silently ignored. Examples:

zai-org-glm-5-1:enable_web_search=on
kimi-k2-6:strip_thinking_response=true&enable_web_search=auto
zai-org-glm-5-1:character_slug=alan-watts

Note: enable_e2ee and enable_x_search can only be set via venice_parameters, not as suffixes.

Messages and modalities

messages[].content is either a string or an array of typed parts. Roles: user, assistant, tool, system, developer (reasoning models like o-series / codex).

Text + image (image_url)

json
{
  "model": "zai-org-glm-5-1",
  "messages": [{
    "role": "user",
    "content": [
      {"type": "text", "text": "What's in this image?"},
      {"type": "image_url", "image_url": {"url": "https://example.com/cat.jpg"}}
    ]
  }]
}

• url accepts a public URL or data:image/png;base64,....
• 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.

Audio input (input_audio)

json
{
  "role": "user",
  "content": [
    {"type": "text", "text": "Transcribe this clip."},
    {"type": "input_audio", "input_audio": {"data": "<base64>", "format": "wav"}}
  ]
}

Formats: wav, mp3, aiff, aac, ogg, flac, m4a, pcm16, pcm24. Audio URLs are not supported — always inline base64.

Video input (video_url)

json
{
  "role": "user",
  "content": [
    {"type": "text", "text": "Summarize this."},
    {"type": "video_url", "video_url": {"url": "https://www.youtube.com/watch?v=..."}}
  ]
}

Accepts public URLs (including YouTube for some providers) or data:video/mp4;base64,.... Supported formats: mp4, mpeg, mov, webm.

Prompt caching (cache_control)

Any text / image_url / input_audio / video_url part can carry:

json
{"cache_control": {"type": "ephemeral", "ttl": "1h"}}

Combine with prompt_cache_key and prompt_cache_retention: "24h" on the root request for predictable cache routing. Cache read / write pricing is model-specific — check model_spec.pricing on /models.

Tools & function calling

Function tools

json
{
  "tools": [{
    "type": "function",
    "function": {
      "name": "get_weather",
      "description": "Get current weather for a city",
      "parameters": {
        "type": "object",
        "properties": {"city": {"type": "string"}},
        "required": ["city"]
      },
      "strict": true
    }
  }],
  "tool_choice": "auto"
}

• tool_choice can also be "required", "none", or {"type":"function","function":{"name":"get_weather"}}.
• parallel_tool_calls: true (default) lets the model emit multiple calls at once.
• Respond by appending {"role":"tool","tool_call_id":"...","content":"..."} before the next call.

Built-in tools

json
"tools": [{"type": "web_search"}, {"type": "x_search"}]

Equivalent to toggling venice_parameters.enable_web_search / enable_x_search. x_search requires a model with supportsXSearch.

Reasoning models

On thinking models (GLM 5.1, Kimi K2.6, Claude Opus 4.7, GPT-5.4 Pro, …):

json
{
  "model": "zai-org-glm-5-1",
  "reasoning": {"effort": "medium", "summary": "auto"},
  "venice_parameters": {"strip_thinking_response": false},
  "messages": [...]
}

• reasoning_effort is the OpenAI-compatible flat variant (takes precedence over reasoning.effort).
• 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.
• Use venice_parameters.disable_thinking: true to skip thinking entirely on supported models.

Structured output (response_format)

json
{
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "type": "object",
      "properties": {"name": {"type": "string"}, "age": {"type": "number"}},
      "required": ["name", "age"]
    }
  }
}

Prefer json_schema over the legacy json_object. Plain text is the default ({"type": "text"}).

E2EE (end-to-end encryption)

For models advertising supportsE2EE:

1. Perform an HPKE / Noise handshake with Venice (see docs.venice.ai/e2ee).
2. Send encrypted payload with the required E2EE request headers.
3. Leave venice_parameters.enable_e2ee at default true, or set false to fall back to TEE-only.

E2EE is not supported on /responses — use /chat/completions for encrypted inference.

Streaming

json
{"stream": true, "stream_options": {"include_usage": true}}

• Response is text/event-stream. Each event is data: {...chunk...}\n\n, terminated by data: [DONE].
• include_usage: true adds a final chunk with token counts.
• With venice_parameters.include_search_results_in_stream: true, the first chunk carries venice_search_results.

Web-search answers

When 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.

Error handling specifics

• 402 — insufficient balance. Bearer: INSUFFICIENT_BALANCE. x402: PAYMENT_REQUIRED with structured topUpInstructions and siwxChallenge.
• 422 — prompt violates Venice or provider content policy. May include suggested_prompt.
• 413 — payload too large (mostly vision/audio).
• 429 — rate limit. See /api_keys/rate_limits and venice-errors.

Common gotchas

• max_tokens is deprecated — prefer max_completion_tokens.
• Image URLs must be publicly reachable from Venice's network. Localhost / signed S3 URLs without public access fail.
• Audio inputs cannot be URLs — always base64.
• Single-image vision models drop older images on each turn; chain them into the last user message.
• For multi-turn with tools on Claude Opus 4.7, GPT-5.4 Pro, and similar, always round-trip reasoning_details unchanged.
• parallel_tool_calls: true means you MUST be prepared to execute several tools in parallel before sending a single tool-role reply chain.
• character_slug replaces the default Venice system prompt. Combine with include_venice_system_prompt: false for total control.