REDDIT · REDDIT// 3h agoOPENSOURCE RELEASE

Qwen Code skips images on local llama-server

Developers using the Qwen-Code CLI report that the tool automatically skips image files when connected to a local llama-server instance, even when multimodal capabilities are correctly enabled via the mmproj flag. The issue appears to be a client-side limitation where the CLI fails to register vision tools for "OpenAI Compatible" local providers, despite the underlying Qwen 3.5/3.6 models being fully vision-capable.

// ANALYSIS

The "agentic CLI" trend is hitting a wall with local multimodal support due to a lack of standardized feature discovery between clients and local backends.

–Qwen-Code CLI fails to detect vision support through generic OpenAI-compatible endpoints, defaulting to a "text-only" mode that ignores valid image inputs.
–While llama-server correctly exposes vision embeddings, the CLI-side tool registration is hardcoded or restricted to specific cloud providers.
–Users can bypass the restriction by manually encoding images into prompts, confirming the bottleneck is in the CLI's file-handling logic rather than the model inference engine.
–This friction highlights the need for broader adoption of the Model Context Protocol (MCP) to standardize how local agents discover and utilize multimodal tools.

// TAGS

qwen-codecliai-codingmultimodalopen-sourcellama-cpp

DISCOVERED

3h ago

2026-04-17

PUBLISHED

4h ago

2026-04-16

RELEVANCE

7/ 10

AUTHOR

robertpro01