Phillip Tarrant
91187a0728
Implement the core autonomy layer — AgentLoop streams LLM responses, parses tool calls, executes them with permission checks, feeds results back, and repeats until the task completes or finish is called. - Add FinishTool for explicit loop termination - Add tools parameter to LLMClient.stream_chat() for function calling - Add compact tool result display (status line, not full output) - Refactor REPL to delegate to AgentLoop.run_turn() - Fix Ollama null content rejection (always send content as string) - Add finish to auto_approve permissions - 9 unit tests for agent loop (34 total, zero regressions) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
63 lines
992 B
YAML
63 lines
992 B
YAML
# SneakyCode Configuration
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llm:
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model: "qwen3.5:latest"
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endpoint: "http://localhost:11434"
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api_path: "/v1/chat/completions"
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temperature: 0.1
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max_tokens: 4096
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timeout: 120
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agent:
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max_iterations: 25
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max_conversation_tokens: 32000
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workspace_root: "."
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permissions:
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auto_approve:
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- read_file
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- list_dir
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- grep_files
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- find_files
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- finish
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prompt_user:
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- write_file
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- delete_file
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- run_command
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- str_replace
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- patch_apply
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- make_dir
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deny: []
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tools:
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shell:
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allowed_commands:
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- git
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- python
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- pip
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- pytest
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- ruff
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- ls
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- cat
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- head
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- tail
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- wc
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- diff
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- grep
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- find
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- echo
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denied_commands:
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- rm -rf /
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- sudo
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- curl
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- wget
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max_output_bytes: 65536
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filesystem:
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max_file_size_bytes: 1048576 # 1 MB
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binary_detection: true
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display:
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show_tool_calls: true
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show_token_usage: true
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stream_output: true
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