feat: add Venice AI provider integration

Venice AI is a privacy-focused AI inference provider with support for
uncensored models and access to major proprietary models via their
anonymized proxy.

This integration adds:

- Complete model catalog with 25 models:
  - 15 private models (Llama, Qwen, DeepSeek, Venice Uncensored, etc.)
  - 10 anonymized models (Claude, GPT-5.2, Gemini, Grok, Kimi, MiniMax)
- Auto-discovery from Venice API with fallback to static catalog
- VENICE_API_KEY environment variable support
- Interactive onboarding via 'venice-api-key' auth choice
- Model selection prompt showing all available Venice models
- Provider auto-registration when API key is detected
- Comprehensive documentation covering:
  - Privacy modes (private vs anonymized)
  - All 25 models with context windows and features
  - Streaming, function calling, and vision support
  - Model selection recommendations

Privacy modes:
- Private: Fully private, no logging (open-source models)
- Anonymized: Proxied through Venice (proprietary models)

Default model: venice/llama-3.3-70b (good balance of capability + privacy)
Venice API: https://api.venice.ai/api/v1 (OpenAI-compatible)
This commit is contained in:
jonisjongithub
2026-01-24 16:56:42 -07:00
committed by Peter Steinberger
parent fc0e303e05
commit 7540d1e8c1
12 changed files with 811 additions and 0 deletions

View File

@@ -4,6 +4,12 @@ import {
SYNTHETIC_DEFAULT_MODEL_REF,
SYNTHETIC_MODEL_CATALOG,
} from "../agents/synthetic-models.js";
import {
buildVeniceModelDefinition,
VENICE_BASE_URL,
VENICE_DEFAULT_MODEL_REF,
VENICE_MODEL_CATALOG,
} from "../agents/venice-models.js";
import type { ClawdbotConfig } from "../config/config.js";
import {
OPENROUTER_DEFAULT_MODEL_REF,
@@ -330,6 +336,83 @@ export function applySyntheticConfig(cfg: ClawdbotConfig): ClawdbotConfig {
};
}
/**
* Apply Venice provider configuration without changing the default model.
* Registers Venice models and sets up the provider, but preserves existing model selection.
*/
export function applyVeniceProviderConfig(cfg: ClawdbotConfig): ClawdbotConfig {
const models = { ...cfg.agents?.defaults?.models };
models[VENICE_DEFAULT_MODEL_REF] = {
...models[VENICE_DEFAULT_MODEL_REF],
alias: models[VENICE_DEFAULT_MODEL_REF]?.alias ?? "Llama 3.3 70B",
};
const providers = { ...cfg.models?.providers };
const existingProvider = providers.venice;
const existingModels = Array.isArray(existingProvider?.models) ? existingProvider.models : [];
const veniceModels = VENICE_MODEL_CATALOG.map(buildVeniceModelDefinition);
const mergedModels = [
...existingModels,
...veniceModels.filter(
(model) => !existingModels.some((existing) => existing.id === model.id),
),
];
const { apiKey: existingApiKey, ...existingProviderRest } = (existingProvider ?? {}) as Record<
string,
unknown
> as { apiKey?: string };
const resolvedApiKey = typeof existingApiKey === "string" ? existingApiKey : undefined;
const normalizedApiKey = resolvedApiKey?.trim();
providers.venice = {
...existingProviderRest,
baseUrl: VENICE_BASE_URL,
api: "openai-completions",
...(normalizedApiKey ? { apiKey: normalizedApiKey } : {}),
models: mergedModels.length > 0 ? mergedModels : veniceModels,
};
return {
...cfg,
agents: {
...cfg.agents,
defaults: {
...cfg.agents?.defaults,
models,
},
},
models: {
mode: cfg.models?.mode ?? "merge",
providers,
},
};
}
/**
* Apply Venice provider configuration AND set Venice as the default model.
* Use this when Venice is the primary provider choice during onboarding.
*/
export function applyVeniceConfig(cfg: ClawdbotConfig): ClawdbotConfig {
const next = applyVeniceProviderConfig(cfg);
const existingModel = next.agents?.defaults?.model;
return {
...next,
agents: {
...next.agents,
defaults: {
...next.agents?.defaults,
model: {
...(existingModel && "fallbacks" in (existingModel as Record<string, unknown>)
? {
fallbacks: (existingModel as { fallbacks?: string[] }).fallbacks,
}
: undefined),
primary: VENICE_DEFAULT_MODEL_REF,
},
},
},
};
}
export function applyAuthProfileConfig(
cfg: ClawdbotConfig,
params: {