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Install in OpenClaw
/install chat-ollama-gradio
Description
Gradio-based chat interface for Ollama with multi-session management. Use when working with pywayne.llm.chat_ollama_gradio module to create a web-based chat...
README (SKILL.md)
Pywayne Chat Ollama Gradio
This module provides a Gradio-based web chat interface for Ollama models with multi-session support.
Quick Start
from pywayne.llm.chat_ollama_gradio import OllamaChatGradio
# Create and launch chat interface
app = OllamaChatGradio(
base_url="http://localhost:11434/v1",
server_port=7870
)
app.launch()
Configuration
| Parameter | Default | Description |
|---|---|---|
base_url |
"http://localhost:11434/v1" |
Ollama API base URL |
server_name |
"0.0.0.0" |
Server host name |
server_port |
7870 |
Server port |
root_path |
"" |
Root path for reverse proxy |
api_key |
"ollama" |
API key (for Ollama compatibility) |
Model Discovery
Automatically discovers available Ollama models by running ollama list:
- Excludes models with 'embed' in the name
- Falls back to
qwen2.5:0.5bif no models found
Session Management
Creating New Sessions
# UI method: Click "新建会话" button
new_chat_id, new_history, new_choices = app.create_new_chat()
Switching Sessions
# UI method: Select from "历史会话" radio list
history = app.switch_chat(selected_chat_id)
API Reference
OllamaChatGradio
| Method | Description |
|---|---|
get_ollama_models() |
Get list of available Ollama models |
init_chat_manager() |
Initialize ChatManager instance |
create_new_chat() |
Create new chat session, returns (chat_id, history, radio_update) |
switch_chat(chat_id) |
Switch to specified chat session |
format_history(history) |
Format history for display |
chat(message, history, model_name) |
Process chat message with streaming |
create_demo() |
Create Gradio interface |
launch() |
Launch Gradio server |
UI Components
| Component | Description |
|---|---|
chatbot |
Main chat display area |
msg |
Message input textbox |
model_dropdown |
Model selection dropdown |
chat_id_text |
Current session ID (read-only) |
new_chat_btn |
Button to create new session |
chat_history_list |
Radio list for session switching |
Requirements
gradio- Web UI frameworkpywayne.llm.chat_bot- ChatManager and LLMConfigollamaCLI - Must be installed and accessible
Notes
- Uses ChatManager for multi-session support
- Streaming responses update UI in real-time
- Session history persists in memory (not persistent)
- Requires Ollama to be running before launching
Usage Guidance
What to check before installing or using this skill:
- The SKILL.md requires the 'ollama' CLI, 'gradio', and the 'pywayne.llm.chat_bot' module, but the registry metadata lists none of these — verify you have these dependencies from trusted sources before running anything.
- The skill will call 'ollama list' (a local CLI command) and launch a local web server (default port 7870). Run it in an isolated environment (container/VM) if you are unsure of the origin.
- Inspect the actual pywayne.llm.chat_ollama_gradio and pywayne.llm.chat_bot code (or obtain them from a reputable source) to confirm there are no unexpected network calls, file reads, or credential handling.
- Confirm your Ollama CLI was installed from a trusted release (official site/GitHub) so that 'ollama list' isn't an unexpected binary.
- If you need higher confidence: ask the publisher for the source repository, a checksum for any required packages/binaries, or a clear install spec. If those cannot be provided, treat the skill as untrusted and run it in isolation.
Capability Analysis
Type: OpenClaw Skill
Name: chat-ollama-gradio
Version: 0.1.0
The skill is classified as suspicious due to its explicit reliance on executing shell commands (`ollama list`) for model discovery and binding a web server to all network interfaces (`0.0.0.0`) by default, as described in `SKILL.md`. While these capabilities are plausibly needed for the skill's stated purpose of providing a Gradio-based chat interface for Ollama, they represent significant attack surfaces. Without access to the underlying Python code, it's impossible to verify proper input sanitization for shell commands or secure configuration of the web server, making it a risky capability rather than clearly benign.
Capability Assessment
Purpose & Capability
The skill's stated purpose (Gradio UI for Ollama) matches the instructions, but the registry metadata lists no required binaries or environment variables while the SKILL.md explicitly requires the 'ollama' CLI, the 'gradio' package, and the 'pywayne.llm.chat_bot' module. That omission is an inconsistency between what the skill says it needs and what it actually instructs the agent to use.
Instruction Scope
The instructions stay within the stated purpose: they import a pywayne module, launch a Gradio server, and call 'ollama list' to discover local models. The SKILL.md does not instruct reading unrelated system files, exfiltrating data, or contacting external endpoints beyond the local Ollama API and a locally hosted Gradio UI. It does, however, expect a local service and CLI to be present.
Install Mechanism
This is an instruction-only skill with no install spec, so nothing will be downloaded or written by the skill itself. That lowers install risk, but the lack of an install spec combined with unmet runtime dependencies (ollama CLI, gradio, pywayne package) means a user may have to install components manually — verify sources before doing so.
Credentials
The skill does not request environment variables or credentials in metadata. The SKILL.md mentions an 'api_key' parameter for Ollama compatibility but does not require secrets or other unrelated credentials. No disproportionate credential access is requested.
Persistence & Privilege
The skill does not request always: true and is user-invocable only. It describes running a local Gradio server (default port 7870) and keeping session history in memory; it does not indicate modifying other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install chat-ollama-gradio - After installation, invoke the skill by name or use
/chat-ollama-gradio - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of pywayne-llm-chat-ollama-gradio: Gradio chat UI for Ollama models with multi-session management.
- Supports model auto-discovery, excluding 'embed' models and providing a fallback option.
- Includes chat session creation, switching, and management via integrated ChatManager.
- Offers a configurable interface for model selection, API settings, and server options.
- Streaming responses and chat history handled in real-time within the web UI.
Metadata
Frequently Asked Questions
What is Pywayne Llm Chat Ollama Gradio?
Gradio-based chat interface for Ollama with multi-session management. Use when working with pywayne.llm.chat_ollama_gradio module to create a web-based chat... It is an AI Agent Skill for Claude Code / OpenClaw, with 639 downloads so far.
How do I install Pywayne Llm Chat Ollama Gradio?
Run "/install chat-ollama-gradio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pywayne Llm Chat Ollama Gradio free?
Yes, Pywayne Llm Chat Ollama Gradio is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Pywayne Llm Chat Ollama Gradio support?
Pywayne Llm Chat Ollama Gradio is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pywayne Llm Chat Ollama Gradio?
It is built and maintained by wangyendt (@wangyendt); the current version is v0.1.0.
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