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|
provider: llmman
model: "hf.co/unsloth/Qwen3.5-4B-GGUF:Q4_K_M"
# No baseUrl: llmman's defaults apply. For the record:
# baseUrl: "http://127.0.0.1:17434/v1"
# fallback: "http://host.docker.internal:17434/v1" # tried when baseUrl does not answer
# 0 = mm asks the server for the window it serves (the model's native window
# is 262144 tokens; the server may serve less)
contextWindow: 0
yolo: true
bashTool: false
editTools: false
planTool: false
askUserTool: false
skillsDir: no-skills
sampling:
temperature: 0.6
top_p: 0.95
top_k: 20
parallel_tool_calls: false
chat_template_kwargs:
enable_thinking: true
showThinking: true
displayCommands: true
# MCP (Model Context Protocol) Client Configuration
# Enables access to remote MCP servers for additional tools
mcp:
enabled: true
permissions: ask # Ask before executing MCP tools (recommended for security)
discoveryTimeout: 10s # Timeout for discovering tools at startup
servers:
# Context7 MCP Server - Provides documentation and code context
# Requires authentication via API key
- name: context7
transport: http
url: https://mcp.context7.com/mcp
timeout: 60s # Longer timeout for potentially complex queries
auth:
type: bearer
tokenEnv: CONTEXT7_API_KEY # Set this environment variable with your API key
headers:
Accept: "application/json, text/event-stream"
# Optional: filter which tools to expose
# tools:
# - resolve-library-id
# - query-docs
# Wikipedia MCP Server - Free Wikipedia access, no authentication required
- name: wikipedia
transport: http
url: https://wikipedia-mcp.vercel.app/mcp
timeout: 30s
auth:
type: none # No authentication required
headers:
Accept: "application/json, text/event-stream"
# Optional: filter which tools to expose
# tools:
# - search
# - get_article
acp:
name: reader
title: "📝 Reader"
system: |
Your name is Bob The Bot.
|
