forked from cleveragents/cleveragents-core
aditya
41f90afaf9
Add 5 example actor configurations demonstrating all actor types: Simple Examples: - simple_llm.yaml: Basic LLM actor with code review prompt - llm_with_tools.yaml: LLM with mix of tool references and inline tools - tool_collection.yaml: Tool-only actor (no LLM) Graph Examples: - simple_graph.yaml: 3-node linear workflow (extract → analyze → summarize) - graph_workflow.yaml: Complex TDD workflow with 10 nodes * Conditional routing based on test results * Retry logic with max attempts * Subgraph composition (code review) * Error escalation paths Each example demonstrates: - Proper namespaced naming (namespace/name) - Type-specific configurations - Context and memory settings - Environment variable usage - Tool definitions (inline and references) Part 5 of C1.schema implementation (Actor YAML Schema Models).
39 lines
922 B
YAML
39 lines
922 B
YAML
# Simple LLM Actor Example
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# Demonstrates the most basic actor configuration with just an LLM and system prompt
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name: assistants/code_reviewer
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type: llm
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description: Reviews Python code for best practices, style, and potential bugs
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version: "1.0"
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# LLM configuration
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model: gpt-4
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system_prompt: |
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You are an expert Python code reviewer. Review code for:
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- PEP 8 style compliance
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- Best practices and design patterns
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- Potential bugs and edge cases
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- Performance considerations
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- Security vulnerabilities
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Provide constructive feedback with specific suggestions for improvement.
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# Context and memory settings
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context_view: reviewer
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memory:
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enabled: true
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max_messages: 20
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max_tokens: 4000
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context:
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include_files:
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- "README.md"
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- "pyproject.toml"
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include_dirs:
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- "src/"
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exclude_patterns:
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- "**/__pycache__/**"
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- "*.pyc"
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- "**/.pytest_cache/**"
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max_context_tokens: 8000
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