e653d63bc1
OSS restructuring for open-core model: - Rename package from agentserver/ to xml_pipeline/ - Update all imports (44 Python files, 31 docs/configs) - Update pyproject.toml for OSS distribution (v0.3.0) - Move prompt_toolkit from core to optional [console] extra - Remove auth/server/lsp from core optional deps (-> Nextra) New console example in examples/console/: - Self-contained demo with handlers and config - Uses prompt_toolkit (optional, falls back to input()) - No password auth, no TUI, no LSP — just the basics - Shows how to use xml-pipeline as a library Import changes: - from agentserver.* -> from xml_pipeline.* - CLI entry points updated: xml_pipeline.cli:main Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
"""
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Configuration templates for xml-pipeline.
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Generates starter organism.yaml files.
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"""
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def create_organism_template(name: str = "my-organism") -> str:
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"""Create a starter organism.yaml configuration."""
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return f'''# {name} - xml-pipeline organism configuration
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# Documentation: https://github.com/yourorg/xml-pipeline
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organism:
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name: {name}
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version: "0.1.0"
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description: "A multi-agent organism"
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# =============================================================================
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# LLM BACKENDS
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# Configure which LLM providers to use. Agents will use these for inference.
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# API keys are read from environment variables.
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# =============================================================================
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llm_backends:
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- name: primary
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provider: xai # xai, anthropic, openai, ollama
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model: grok-2
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api_key_env: XAI_API_KEY
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priority: 0 # Lower = preferred
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# Uncomment to add fallback backends:
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# - name: fallback
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# provider: anthropic
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# model: claude-3-sonnet-20240229
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# api_key_env: ANTHROPIC_API_KEY
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# priority: 1
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# =============================================================================
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# LISTENERS
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# Define agents, tools, and gateways that make up your organism.
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# =============================================================================
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listeners:
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# -----------------------------------------------------------------------------
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# Example agent - an LLM-powered assistant
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# -----------------------------------------------------------------------------
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- name: assistant
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agent: true
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description: "A helpful assistant that can use tools"
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prompt: |
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You are a helpful assistant. You can use tools to help users.
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Always be concise and accurate.
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model: grok-2 # Override default model (optional)
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peers:
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- calculator # Can call calculator tool
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- fetcher # Can call fetch tool
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allowed_tools:
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- calculate
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- fetch
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# -----------------------------------------------------------------------------
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# Example tool - calculator
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# -----------------------------------------------------------------------------
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- name: calculator
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tool: true
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description: "Evaluates mathematical expressions"
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handler: agentserver.tools.calculate:calculate_handler
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payload_class: agentserver.tools.calculate:CalculateRequest
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# -----------------------------------------------------------------------------
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# Example tool - HTTP fetcher
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# -----------------------------------------------------------------------------
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- name: fetcher
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tool: true
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description: "Fetches content from URLs"
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handler: agentserver.tools.fetch:fetch_handler
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payload_class: agentserver.tools.fetch:FetchRequest
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# =============================================================================
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# OPTIONAL: WebSocket server for remote connections
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# Uncomment to enable. Requires: pip install xml-pipeline[server]
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# =============================================================================
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# server:
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# enabled: true
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# host: "127.0.0.1"
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# port: 8765
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# =============================================================================
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# OPTIONAL: Authentication for privileged operations
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# Uncomment to enable. Requires: pip install xml-pipeline[auth]
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# =============================================================================
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# auth:
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# enabled: true
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# totp_secret_env: ORGANISM_TOTP_SECRET
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'''
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def create_minimal_template(name: str = "simple") -> str:
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"""Create a minimal organism.yaml with just one agent."""
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return f'''organism:
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name: {name}
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llm_backends:
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- name: default
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provider: xai
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model: grok-2
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api_key_env: XAI_API_KEY
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listeners:
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- name: assistant
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agent: true
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description: "A simple assistant"
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prompt: "You are a helpful assistant."
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'''
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