Steps to reproduce:
1. In a CLI session, call vision_analyze with a local file path:

   vision_analyze(image_url="/Users/username/screenshot.png", question="What is shown?")

2. The tool returns an error or silently fails.

Expected behavior:
The tool should be able to analyze locally stored image files that the user can access on their machine.

Actual behavior:
Local file paths are not handled correctly. The tool either:
- Treats the path as an invalid URL and raises a validation error
- Fails because the tool runs in an environment that cannot access the user's local filesystem
- Returns empty/incomplete results

Root Cause Analysis

Looking at tools/vision_tools.py, the implementation has two issues:

1. Schema/description mismatch: The tool parameter description mentions "local file path" support, but the internal _validate_image_url() only accepts http:// and https:// URLs. Local paths only work if prefixed with file://, and even then only when the tool process has access to the filesystem at that path.

2. No file upload mechanism: The vision tool works by having the tool itself download or read the image. This requires the tool's runtime environment to have access to the file. When Hermes runs in a CLI session on a user's machine, this may fail if the tool process is sandboxed or running in a different context than the terminal.

The correct architecture would be for the Agent to first receive the file from the user (via an upload mechanism), store it in a location the vision service can access, then pass that URL to the vision tool.

Proposed Solution

Option A — Quick fix (documentation):
Update the tool description to be explicit: only http:///https:// URLs and file:// URIs are supported. Add examples showing the exact format required.

Option B — Proper fix (recommended):
Implement a file upload mechanism for the vision toolchain:
1. Add a tool (e.g., upload_image or attach_file) that accepts a local path, copies the file to a temp location accessible by the auxiliary vision service, and returns a URL
2. Have vision_analyze accept only accessible HTTP URLs (removing the confusing local path claim from its description)
3. The Agent would then use upload_image first, then pass the resulting URL to vision_analyze

This is the only approach that works when the Agent runs in remote, sandboxed, or containerized environments.

Environment

- Hermes Agent version: (latest)
- OS: macOS (likely affects all desktop users)
- CLI context
- Provider: (any — vision is a separate auxiliary service)

Screenshots / Additional Context

Tool description in schema:
> "Image URL (http/https) or local file path to analyze."

This claim is not reliably fulfilled in practice for CLI users with local files.