---
name: bk9jpt7z.nx.link
description: This host provides read-only discovery endpoints for Venice.ai infrastructure: it returns the model catalog with metadata, trait-to-model-ID mappings for capability roles, and the list of available image-generation style names. All three skills are zero-input lookup calls that return structured reference data.
host: bk9jpt7z.nx.link
---

# bk9jpt7z.nx.link

bk9jpt7z.nx.link is a Venice.ai metadata host serving agents that need to resolve model selection and image style enumeration before constructing downstream inference or image-generation requests. It covers three distinct lookup surfaces — full model catalog, capability-role trait assignments, and image style names — but does not execute any inference or generation itself.

## When to use this host

Use this host when an agent needs to resolve which Venice.ai model to use for a given capability role, inspect model metadata before making a selection, or enumerate valid image style names prior to a generation call. Do not use it to actually invoke a model or generate an image — this host has no inference or generation endpoints. For executing Venice.ai inference or image generation, route to a host that exposes those generation APIs directly. If you need a model catalog for a provider other than Venice.ai, this host is not applicable.

## Capabilities

### Model Discovery

Provides two complementary views of Venice.ai models: a full catalog with pricing, context length, and capability flags, and a trait registry that maps capability roles (default, vision, code, reasoning, etc.) to specific recommended model IDs.

- **`fetch-venice-model-catalog`** — Returns the full list of Venice.ai models with metadata including context length, pricing, capabilities, and model type.
- **`fetch-model-traits`** — Returns a registry of AI model trait assignments (default, most intelligent, function-calling, uncensored, reasoning, vision, code) as model ID strings.

### Image Style Enumeration

Returns the complete list of valid image-generation style names from Venice.ai, enabling agents to validate or present style options before submitting a generation request.

- **`fetch-image-styles`** — Returns the full list of available image-generation style names from Venice.ai as a flat array of strings.

## Workflows

### Capability-Aware Model Selection

*Use when an agent needs to select the best Venice.ai model for a specific task and wants to cross-reference the recommended trait assignment against full catalog metadata (pricing, context window) before committing.*

1. **`fetch-model-traits`** — Retrieve the trait-to-model-ID mapping to identify the recommended model ID for the required capability role (e.g. vision, reasoning, code).
2. **`fetch-venice-model-catalog`** — Fetch the full model catalog and look up the resolved model ID to confirm its context length, pricing, and capability flags before use.

## Skill reference

### `fetch-model-traits`

**Model Trait Explorer** — Returns a registry of AI model trait assignments (default, most intelligent, function-calling, uncensored, reasoning, vision, code) as model ID strings.

*Use when:* Use when an agent needs to discover which model ID is recommended for a specific capability role (e.g. default, vision, code, reasoning, uncensored) before routing an inference request.

*Not for:* Do not use for listing all available models or fetching model pricing; this endpoint returns only trait-to-model-ID mappings, not a full model catalog.

**Returns:** Returns a data object mapping trait names (default, most_intelligent, function_calling_default, most_uncensored, default_reasoning, default_vision, default_code) to their recommended model ID strings.

**Example:** `GET https://bk9jpt7z.nx.link/models/traits`

---

### `fetch-image-styles`

**Venice Image Styles** — Returns the full list of available image-generation style names from Venice.ai as a flat array of strings.

*Use when:* Use when an agent needs to enumerate valid style options before constructing an image-generation request, or when a user asks what image styles are supported.

*Not for:* Do not use to generate images or retrieve style metadata beyond names; this endpoint only returns a list of style name strings.

**Returns:** Returns an object with a 'data' array of ~80 style name strings (e.g. 'Anime', 'Photographic', 'Pixel Art') and object='list'.

**Example:** `GET https://bk9jpt7z.nx.link/image/styles`

---

### `fetch-venice-model-catalog`

**Venice Model Catalog** — Returns the full list of Venice.ai models with metadata including context length, pricing, capabilities, and model type.

*Use when:* Use when an agent needs to discover available Venice.ai models, check their capabilities (e.g. vision, function calling, reasoning), pricing per token, or context window sizes before selecting a model for a task.

*Not for:* Do not use to invoke or query a model; this endpoint only lists available models and their metadata.

**Returns:** Returns a data array of model objects, each with id, context_length, type, pricing (USD/diem for input/output/cache), and a capabilities object listing supported features like function calling, vision, reasoning, and web search.

**Example:** `GET https://bk9jpt7z.nx.link/models`

---