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Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images/audio/video), tool calls, reasoning controls, streaming, prompt caching, structured output, and model feature suffixes.
Passed 19 of 22 test cases with the skill, and 10 of 22 without it.
and 7 more in the full report
9 fixed10 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When calling Venice chat completions with an E2EE key, what venice_parameter controls forcing TEE-only processing if end-to-end encryption headers are disabled or bypassed?
| Checked | Without skill | With skill |
|---|---|---|
| Sets enable_e2ee to false in venice_parameters | Missed | Passed |
The instructions your model reads when the skill loads.
POST /api/v1/chat/completions is Venice's main text endpoint. It's OpenAI-compatible, plus a venice_parameters object for Venice-only features.
json_schema) output.For the newer Alpha Responses API, see venice-responses.
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.
| 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) |
test cases passed, vs 10 / 22 without
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