Venice AI

Venice AI provides privacy-focused AI inference with support for uncensored models and access to major proprietary models through their anonymized proxy. All inference is private by default — no training on your data, no logging.

Why Venice in FluffBuzz

Private inference for open-source models (no logging).
Uncensored models when you need them.
Anonymized access to proprietary models (Opus/GPT/Gemini) when quality matters.
OpenAI-compatible /v1 endpoints.

Privacy modes

Venice offers two privacy levels — understanding this is key to choosing your model:

Mode	Description	Models
Private	Fully private. Prompts/responses are never stored or logged. Ephemeral.	Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc.
Anonymized	Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic, Google, xAI) sees anonymized requests.	Claude, GPT, Gemini, Grok

Anonymized models are not fully private. Venice strips metadata before forwarding, but the underlying provider (OpenAI, Anthropic, Google, xAI) still processes the request. Choose Private models when full privacy is required.

Features

Privacy-focused: Choose between “private” (fully private) and “anonymized” (proxied) modes
Uncensored models: Access to models without content restrictions
Major model access: Use Claude, GPT, Gemini, and Grok via Venice’s anonymized proxy
OpenAI-compatible API: Standard /v1 endpoints for easy integration
Streaming: Supported on all models
Function calling: Supported on select models (check model capabilities)
Vision: Supported on models with vision capability
No hard rate limits: Fair-use throttling may apply for extreme usage

Getting started

Get your API key

Sign up at venice.ai
Go to Settings > API Keys > Create new key
Copy your API key (format: vapi_xxxxxxxxxxxx)

Configure FluffBuzz

Choose your preferred setup method:

Interactive (recommended)
Environment variable
Non-interactive

fluffbuzz onboard --auth-choice venice-api-key

This will:

Prompt for your API key (or use existing VENICE_API_KEY)
Show all available Venice models
Let you pick your default model
Configure the provider automatically

export VENICE_API_KEY="vapi_xxxxxxxxxxxx"

fluffbuzz onboard --non-interactive \
  --auth-choice venice-api-key \
  --venice-api-key "vapi_xxxxxxxxxxxx"

Verify setup

fluffbuzz agent --model venice/kimi-k2-5 --message "Hello, are you working?"

Model selection

After setup, FluffBuzz shows all available Venice models. Pick based on your needs:

Default model: venice/kimi-k2-5 for strong private reasoning plus vision.
High-capability option: venice/claude-opus-4-6 for the strongest anonymized Venice path.
Privacy: Choose “private” models for fully private inference.
Capability: Choose “anonymized” models to access Claude, GPT, Gemini via Venice’s proxy.

Change your default model anytime:

fluffbuzz models set venice/kimi-k2-5
fluffbuzz models set venice/claude-opus-4-6

List all available models:

fluffbuzz models list | grep venice

You can also run fluffbuzz configure, select Model/auth, and choose Venice AI.

Use the table below to pick the right model for your use case.

Use Case	Recommended Model	Why
General chat (default)	`kimi-k2-5`	Strong private reasoning plus vision
Best overall quality	`claude-opus-4-6`	Strongest anonymized Venice option
Privacy + coding	`qwen3-coder-480b-a35b-instruct`	Private coding model with large context
Private vision	`kimi-k2-5`	Vision support without leaving private mode
Fast + cheap	`qwen3-4b`	Lightweight reasoning model
Complex private tasks	`deepseek-v3.2`	Strong reasoning, but no Venice tool support
Uncensored	`venice-uncensored`	No content restrictions

Built-in catalog (41 total)

Private models (26) — fully private, no logging

Model ID	Name	Context	Features
`kimi-k2-5`	Kimi K2.5	256k	Default, reasoning, vision
`kimi-k2-thinking`	Kimi K2 Thinking	256k	Reasoning
`llama-3.3-70b`	Llama 3.3 70B	128k	General
`llama-3.2-3b`	Llama 3.2 3B	128k	General
`hermes-3-llama-3.1-405b`	Hermes 3 Llama 3.1 405B	128k	General, tools disabled
`qwen3-235b-a22b-thinking-2507`	Qwen3 235B Thinking	128k	Reasoning
`qwen3-235b-a22b-instruct-2507`	Qwen3 235B Instruct	128k	General
`qwen3-coder-480b-a35b-instruct`	Qwen3 Coder 480B	256k	Coding
`qwen3-coder-480b-a35b-instruct-turbo`	Qwen3 Coder 480B Turbo	256k	Coding
`qwen3-5-35b-a3b`	Qwen3.5 35B A3B	256k	Reasoning, vision
`qwen3-next-80b`	Qwen3 Next 80B	256k	General
`qwen3-vl-235b-a22b`	Qwen3 VL 235B (Vision)	256k	Vision
`qwen3-4b`	Venice Small (Qwen3 4B)	32k	Fast, reasoning
`deepseek-v3.2`	DeepSeek V3.2	160k	Reasoning, tools disabled
`venice-uncensored`	Venice Uncensored (Dolphin-Mistral)	32k	Uncensored, tools disabled
`mistral-31-24b`	Venice Medium (Mistral)	128k	Vision
`google-gemma-3-27b-it`	Google Gemma 3 27B Instruct	198k	Vision
`openai-gpt-oss-120b`	OpenAI GPT OSS 120B	128k	General
`nvidia-nemotron-3-nano-30b-a3b`	NVIDIA Nemotron 3 Nano 30B	128k	General
`olafangensan-glm-4.7-flash-heretic`	GLM 4.7 Flash Heretic	128k	Reasoning
`zai-org-glm-4.6`	GLM 4.6	198k	General
`zai-org-glm-4.7`	GLM 4.7	198k	Reasoning
`zai-org-glm-4.7-flash`	GLM 4.7 Flash	128k	Reasoning
`zai-org-glm-5`	GLM 5	198k	Reasoning
`minimax-m21`	MiniMax M2.1	198k	Reasoning
`minimax-m25`	MiniMax M2.5	198k	Reasoning

Anonymized models (15) — via Venice proxy

Model ID	Name	Context	Features
`claude-opus-4-6`	Claude Opus 4.6 (via Venice)	1M	Reasoning, vision
`claude-opus-4-5`	Claude Opus 4.5 (via Venice)	198k	Reasoning, vision
`claude-sonnet-4-6`	Claude Sonnet 4.6 (via Venice)	1M	Reasoning, vision
`claude-sonnet-4-5`	Claude Sonnet 4.5 (via Venice)	198k	Reasoning, vision
`openai-gpt-54`	GPT-5.4 (via Venice)	1M	Reasoning, vision
`openai-gpt-53-codex`	GPT-5.3 Codex (via Venice)	400k	Reasoning, vision, coding
`openai-gpt-52`	GPT-5.2 (via Venice)	256k	Reasoning
`openai-gpt-52-codex`	GPT-5.2 Codex (via Venice)	256k	Reasoning, vision, coding
`openai-gpt-4o-2024-11-20`	GPT-4o (via Venice)	128k	Vision
`openai-gpt-4o-mini-2024-07-18`	GPT-4o Mini (via Venice)	128k	Vision
`gemini-3-1-pro-preview`	Gemini 3.1 Pro (via Venice)	1M	Reasoning, vision
`gemini-3-pro-preview`	Gemini 3 Pro (via Venice)	198k	Reasoning, vision
`gemini-3-flash-preview`	Gemini 3 Flash (via Venice)	256k	Reasoning, vision
`grok-41-fast`	Grok 4.1 Fast (via Venice)	1M	Reasoning, vision
`grok-code-fast-1`	Grok Code Fast 1 (via Venice)	256k	Reasoning, coding

Model discovery

FluffBuzz automatically discovers models from the Venice API when VENICE_API_KEY is set. If the API is unreachable, it falls back to a static catalog. The /models endpoint is public (no auth needed for listing), but inference requires a valid API key.

Streaming and tool support

Feature	Support
Streaming	All models
Function calling	Most models (check `supportsFunctionCalling` in API)
Vision/Images	Models marked with “Vision” feature
JSON mode	Supported via `response_format`

Pricing

Venice uses a credit-based system. Check venice.ai/pricing for current rates:

Private models: Generally lower cost
Anonymized models: Similar to direct API pricing + small Venice fee

Venice (anonymized) vs direct API

Aspect	Venice (Anonymized)	Direct API
Privacy	Metadata stripped, anonymized	Your account linked
Latency	+10-50ms (proxy)	Direct
Features	Most features supported	Full features
Billing	Venice credits	Provider billing

Usage examples

# Use the default private model
fluffbuzz agent --model venice/kimi-k2-5 --message "Quick health check"

# Use Claude Opus via Venice (anonymized)
fluffbuzz agent --model venice/claude-opus-4-6 --message "Summarize this task"

# Use uncensored model
fluffbuzz agent --model venice/venice-uncensored --message "Draft options"

# Use vision model with image
fluffbuzz agent --model venice/qwen3-vl-235b-a22b --message "Review attached image"

# Use coding model
fluffbuzz agent --model venice/qwen3-coder-480b-a35b-instruct --message "Refactor this function"

Troubleshooting

API key not recognized

echo $VENICE_API_KEY
fluffbuzz models list | grep venice

Ensure the key starts with vapi_.

Model not available

The Venice model catalog updates dynamically. Run fluffbuzz models list to see currently available models. Some models may be temporarily offline.

Connection issues

Venice API is at https://api.venice.ai/api/v1. Ensure your network allows HTTPS connections.

More help: Troubleshooting and FAQ.

Advanced configuration

Config file example

{
  env: { VENICE_API_KEY: "vapi_..." },
  agents: { defaults: { model: { primary: "venice/kimi-k2-5" } } },
  models: {
    mode: "merge",
    providers: {
      venice: {
        baseUrl: "https://api.venice.ai/api/v1",
        apiKey: "${VENICE_API_KEY}",
        api: "openai-completions",
        models: [
          {
            id: "kimi-k2-5",
            name: "Kimi K2.5",
            reasoning: true,
            input: ["text", "image"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 256000,
            maxTokens: 65536,
          },
        ],
      },
    },
  },
}

Model selection

Choosing providers, model refs, and failover behavior.

Venice AI homepage and account signup.

API documentation

Venice API reference and developer docs.

Pricing

Current Venice credit rates and plans.

Overview

Concepts and configuration

Providers

Venice AI

Why Venice in FluffBuzz

Privacy modes

Features

Getting started

Model selection

Built-in catalog (41 total)

Model discovery

Streaming and tool support

Pricing

Venice (anonymized) vs direct API

Usage examples

Troubleshooting

Advanced configuration

Model selection

Venice AI

API documentation

Pricing

​Why Venice in FluffBuzz

​Privacy modes

​Features

​Getting started

​Model selection

​Built-in catalog (41 total)

​Model discovery

​Streaming and tool support

​Pricing

​Venice (anonymized) vs direct API

​Usage examples

​Troubleshooting

​Advanced configuration

​Related

Model selection

Venice AI

API documentation

Pricing

Why Venice in FluffBuzz

Privacy modes

Features

Getting started

Model selection

Built-in catalog (41 total)

Model discovery

Streaming and tool support

Pricing

Venice (anonymized) vs direct API

Usage examples

Troubleshooting

Advanced configuration

Related