model_provider = "litellm"
model = "anthropic/claude-sonnet-4-5-20250929"
# model = "hosted_vllm/meta-llama/Llama-3.1-8B-Instruct"

# Context window settings for Llama-3.1-8B (24K context)
# model_context_window = 24576
# model_auto_compact_token_limit = 15000
# model_max_output_tokens = 1024

[projects."/home/valknar"]
trust_level = "trusted"

[projects."/home/valknar/Projects/llmx"]
trust_level = "trusted"

[projects."/home/valknar/Projects/docker-compose"]
trust_level = "trusted"

[projects."/home/valknar/Projects/kit-ui"]
trust_level = "trusted"

[projects."/home/valknar/Projects/image-ui"]
trust_level = "trusted"

[projects."/home/valknar/bin"]
trust_level = "trusted"

[projects."/home/valknar/Projects/pivoine.art"]
trust_level = "trusted"

[mcp_servers.git]
# Git operations - Python uvx (no NPM package available)
command = "uvx"
args = ["mcp-server-git"]
enabled = true
startup_timeout_sec = 10

[mcp_servers.playwright]
# Browser automation - most popular MCP server (826k weekly downloads)
command = "npx"
args = ["-y", "@playwright/mcp"]
enabled = false  # Disabled to reduce prompt size
startup_timeout_sec = 20

[mcp_servers.brave_search]
# Brave Search - requires API key (BRAVE_API_KEY in .env)
command = "/home/valknar/.llmx/run-brave-search-mcp.sh"
args = []
enabled = true
startup_timeout_sec = 15

[mcp_servers.python_runner]
# Secure Python sandbox execution (Python uvx, requires Deno)
command = "uvx"
args = ["mcp-run-python", "stdio"]
enabled = true
startup_timeout_sec = 15

[mcp_servers.crawl4ai_rag]
# Web crawling + RAG with vector search (local Docker stack)
# Uses BGE embeddings via remote LiteLLM, local PostgreSQL + pgvector
# Start DB first: cd ~/.llmx && docker compose up -d crawl4ai-db crawl4ai-rest
command = "/home/valknar/.llmx/run-crawl4ai-mcp.sh"
args = []
enabled = true
startup_timeout_sec = 60
tool_timeout_sec = 120