aditya
4ae7f2d6fe
- Add missing node descriptions in Behave test scenarios - Fix context_view and parallel execution step definitions - Update llm_with_tools.yaml max_context_tokens (10000 → 16000) - Add context.error compatibility for error assertions Results: Behave 25/25, Robot 16/16, ASV 7/7 all newly added tests passing.
68 lines
1.7 KiB
YAML
68 lines
1.7 KiB
YAML
# LLM Actor with Tools
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# Demonstrates an LLM actor with access to multiple tools
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name: assistants/file_analyzer
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type: llm
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description: Analyzes files and generates reports using file system tools
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version: "1.0"
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# LLM configuration
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model: gpt-4-turbo
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system_prompt: |
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You are a file analysis assistant. Use the available tools to:
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- Read and analyze file contents
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- Count lines, words, and characters
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- Search for patterns in files
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- Generate summary reports
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Always explain what you're doing before using a tool.
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# Tools (mix of references and inline definitions)
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tools:
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# Reference to existing tool
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- files/read_file
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- files/list_directory
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# Inline tool definition
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- name: utils/count_lines
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description: Count the number of lines in a file
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parameters:
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- name: file_path
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type: str
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description: Path to the file to count lines in
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required: true
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code: |
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def count_lines(file_path: str) -> int:
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"""Count lines in a file."""
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with open(file_path, 'r', encoding='utf-8') as f:
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return len(f.readlines())
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- name: utils/word_count
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description: Count words in a file
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parameters:
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- name: file_path
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type: str
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description: Path to the file
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required: true
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code: |
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def word_count(file_path: str) -> int:
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"""Count words in a file."""
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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return len(content.split())
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# Context settings
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context_view: executor
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memory:
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enabled: true
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max_messages: 30
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max_tokens: 6000
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context:
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max_context_tokens: 16000
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# Environment variables
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env_vars:
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WORK_DIR: ${HOME}/workspace
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LOG_LEVEL: info
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