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David Gageot
e2a3b7e0ce
Assisted-By: claude-opus-4-5 Signed-off-by: David Gageot <david.gageot@docker.com>
49 lines
1.9 KiB
YAML
49 lines
1.9 KiB
YAML
# This example demonstrates the background_agents toolset, which lets a
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# coordinator dispatch work to multiple sub-agents in parallel rather than
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# waiting for each one sequentially.
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#
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# The coordinator fans out research tasks to two specialists at the same time,
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# joins their results, and synthesises a final answer once both are done.
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agents:
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root:
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model: anthropic/claude-sonnet-4-5
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description: Research coordinator that dispatches work in parallel
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instruction: |
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You are a research coordinator. When the user asks a question:
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1. Break the question into independent research tasks.
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2. Dispatch each task to the appropriate sub-agent using
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`run_background_agent` so they run in parallel.
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3. Call `wait_background_agents` with both task IDs to join their results.
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If `all_done` is false after a timeout, wait again. Inspect each task's
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status and handle failures before synthesising the findings.
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4. Synthesise the findings into a clear, well-structured answer.
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Always run independent tasks concurrently — do not wait for one to
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finish before starting the next.
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sub_agents: [web_researcher, code_analyst]
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toolsets:
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- type: think
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- type: background_agents
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web_researcher:
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model: openai/gpt-4o
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description: Searches the web for information and summarises findings
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instruction: |
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You are a web researcher. Use the search tools to find relevant,
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up-to-date information. Provide concise summaries with sources.
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toolsets:
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- type: mcp
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ref: docker:duckduckgo
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code_analyst:
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model: anthropic/claude-sonnet-4-5
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description: Analyses local code and provides technical insights
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instruction: |
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You are a code analyst. Read the codebase to answer technical
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questions. Reference specific files and line numbers in your answers.
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toolsets:
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- type: filesystem
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- type: shell
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