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Levi Neely 939f41013e agent: fix stall state always firing on normal text responses
The "no tools" stall condition (totalToolCalls==0 && hadContent) fired
whenever the bot replied in plain text without calling any tools, which
is the normal completion path. The UI would then see agentStalled before
the done message and never transition back to agentIdle.

Removed the "no tools" stall; only the max-steps limit case is a real
stall worth surfacing.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-07 10:51:10 +02:00
agent agent: fix stall state always firing on normal text responses 2026-04-07 10:51:10 +02:00
agents prompt,agents: move proactive exploration to system prompt; agent prompts use-case only 2026-04-06 21:38:15 +02:00
backend agent: reduce repetition and blind writes with dedup caches and range tracking 2026-04-06 21:29:20 +02:00
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README.md README: note anvillm dependency 2026-04-01 01:05:55 +02:00
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README.md

Ollie

An agentic CLI built on a sandboxed execute_code tool and a common LLM backend interface. Supports local (Ollama) and OpenAI-compatible backends, optional MCP server connections, and a skill system for domain-specific capabilities.

Intended to be used with anvillm, which provides the skill system, tool scripts, and multi-agent infrastructure that ollie builds on.

Build

go build

Requires Go 1.21+.

Run

./ollie [model]

Model defaults to qwen3:8b. Override with OLLIE_MODEL or pass as the first argument:

OLLIE_BACKEND=openai ./ollie qwen/qwen3-235b-a22b

Configuration

Environment: ~/.config/ollie/env

OLLIE_BACKEND=openai           # ollama | openai (default: ollama)
OLLIE_OLLAMA_URL=              # base URL for Ollama (default: http://localhost:11434)
OLLIE_OPENAI_URL=https://openrouter.ai/api  # any OpenAI-compatible endpoint
OLLIE_OPENAI_KEY=sk-or-...
OLLIE_MODEL=qwen/qwen3-235b-a22b

Shell environment variables take precedence over the env file.

Config file: ~/.config/ollie/config.json

{
  "mcpServers": {
    "my-server": {
      "command": "my-mcp-server",
      "args": [],
      "env": {
        "API_TOKEN": "${API_TOKEN}"
      }
    }
  },
  "hooks": {
    "agentSpawn": "notify-send ollie started",
    "userPromptSubmit": "",
    "stop": ""
  }
}

MCP server env values support ${VAR} expansion from the parent environment. Only whitelisted vars are passed to the subprocess.

An alternate config path can be provided as a second argument:

./ollie qwen3:8b /path/to/config.json

UI

  • Enter — submit message
  • Ctrl+J — insert newline
  • PageUp / PageDown — scroll chat history
  • Ctrl+U / Ctrl+D — half-page scroll
  • Ctrl+C / Esc — quit

Token usage is shown after each response: [↑N ↓N tokens].

Tools

The agent has one built-in tool: execute_code. It runs shell code in a sandboxed environment and supports three invocation modes:

  • code — inline bash
  • tool + args — named tool script
  • pipe — sequence of {tool, args} steps

MCP server tools are discovered at startup and available alongside execute_code.

Skills

Skills are domain-specific tool scripts and knowledge discoverable at runtime:

{"tool": "discover_skill.sh", "args": ["keyword"]}
{"tool": "load_skill.sh",     "args": ["skill-name"]}

The agent discovers and loads relevant skills automatically at the start of each task.

License

GPLv3