Evan
4f8dd2404d
* feat(providers): expand ollama model catalog with thinking-capable models Add commonly used local models with accurate capability flags: - gemma4, gemma3: supports_thinking, supports_vision - deepseek-r1: supports_thinking (fix missing flag) - deepseek-v3: supports_tools - qwen3, qwq: supports_thinking - llama4: supports_vision - llama3.3: supports_tools - phi4: supports_tools Previously only 6 models were listed and none had supports_thinking (except deepseek-r1), causing the dashboard to hide thinking toggles for models that actually support it. * chore(providers): major cleanup — remove defunct providers and old models Delete 21 defunct/obscure providers: aion-labs, arcee-ai, deepcogito, eleutherai, essentialai, ibm-granite, inception, inflection, kwaipilot, lemonade, liquid, morph, nex-agi, nousresearch, prime-intellect, reka, relace, switchpoint, tngtech, upstage, writer Clean up 10 major providers — keep only latest generation models: - anthropic: remove claude-3.5-sonnet (superseded by 4.x) - openai: remove gpt-4o/4-turbo/3.5/o1/o3-mini (superseded by gpt-5/4.1/o3/o4-mini) - gemini: remove 1.5-*/2.0-flash (superseded by 2.5/3.x) - deepseek: remove coder/chat-v3-0324 (superseded by r1/v3) - qwen: remove turbo/2.5-coder (superseded by qwen3) - groq: remove old llama/mixtral/gemma (keep latest only) - mistral: remove medium/nemo/pixtral-large (keep large/small/codestral) - xai: remove grok-2 (superseded by grok-3/4) - meta-llama: remove 3.x/guard (keep llama-4 + 3.3) - ollama: rewrite with current models (gemma4, qwen3, qwq, llama4, etc) Total: 90 → 48 models across major providers. All thinking-capable models now have supports_thinking = true. * chore: add pre-commit hook for automatic TOML formatting - .githooks/pre-commit: runs taplo fmt on staged .toml files - Makefile: add setup target + auto-configure hooks on first make - .gitignore: add .make-setup-done and .sync_marker
Agents
Autonomous agent definitions for LibreFang. Each agent is a directory containing an agent.toml manifest.
Structure
agents/
├── hello-world/agent.toml
├── researcher/agent.toml
├── coder/agent.toml
└── ...
agent.toml Format
name = "agent-name" # Must match directory name
version = "0.1.0"
description = "What this agent does"
author = "author-name"
module = "builtin:chat" # Runtime module
[model]
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.7
system_prompt = """Behavioral instructions for the agent."""
[metadata.routing]
aliases = ["exact match phrases"]
weak_aliases = ["keyword hints"]
[resources]
max_llm_tokens_per_hour = 100000
[capabilities]
tools = ["web_search", "file_read"]
network = ["*"]
memory_read = ["*"]
memory_write = ["self.*"]
agent_spawn = false
Current Agents (33)
| Agent | Description |
|---|---|
| assistant | Default conversational assistant |
| researcher | Deep research with web search |
| coder | Code generation and editing |
| hello-world | Friendly greeting agent for new users |
| ... | See each directory for details |
Adding a New Agent
- Create
agents/<name>/agent.toml - Ensure
namematches the directory name - Run
python scripts/validate.py - Submit a PR
See CONTRIBUTING.md for the full guide.