Tutorial 10: Blackboard — Shared Markdown Pipeline

The blackboard is a persistent markdown buffer that nodes can read from and write to during a single compile() run. It implements the classic Blackboard architectural pattern: a shared workspace where multiple agents contribute and consume content.

KeGAL supports multiple named boards in the same graph, each with its own file, cleanup behaviour, and optional import chain.

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1. Basic: single board, three-node pipeline

Every board interaction is declared with three fields on the node: - id — which board to access (must match a BlackboardEntry.id) - read — whether to inject the board's current content as {blackboard} - write — whether to append the node's response to the board after execution

This produces three natural node categories:

Category	read	write	Role
Cat-1	false	true	Writer — seeds the board
Cat-2	true	true	Enricher — reads then extends
Cat-3	true	false	Reader — consumes the final board

The compiler infers the execution order automatically: Cat-1 → Cat-2 (in parallel) → Cat-3.

models:
  - llm: "ollama"
    model: "qwen2.5:7b"
    host: "http://localhost:11434"

blackboard:
  path: ./                    # directory for board files (relative to YAML)
  boards:
    - id: main
      file: BLACKBOARD.md
      cleanup: true           # truncate at Compiler init (default)

prompts:
  - template:  # 0 — writer: seeds the board
      system_template:
        role: |
          You are a research assistant.
          Write a concise overview of the topic, max 200 words.
      prompt_template:
        topic: "{user_message}"

  - template:  # 1 — enricher_a: economic analysis
      system_template:
        role: |
          You are an economic analyst.
          Read the overview below and add 3 bullet points about economic implications.
      prompt_template:
        overview: |
          {blackboard}

  - template:  # 2 — enricher_b: risk analysis
      system_template:
        role: |
          You are a risk analyst.
          Read the overview below and add 3 bullet points about key risks.
      prompt_template:
        overview: |
          {blackboard}

  - template:  # 3 — reader: synthesises the full board
      system_template:
        role: |
          You are a report writer.
          Synthesise everything below into an executive summary of max 150 words.
      prompt_template:
        board: |
          {blackboard}

nodes:
  - id: "writer"           # Cat-1
    model: 0
    temperature: 0.3
    max_tokens: 300
    show: false
    blackboard:
      id: main
      read: false
      write: true
    prompt: { template: 0, user_message: true }

  - id: "enricher_a"       # Cat-2
    model: 0
    temperature: 0.5
    max_tokens: 256
    show: false
    blackboard:
      id: main
      read: true
      write: true
    prompt: { template: 1 }

  - id: "enricher_b"       # Cat-2 — runs in parallel with enricher_a
    model: 0
    temperature: 0.5
    max_tokens: 256
    show: false
    blackboard:
      id: main
      read: true
      write: true
    prompt: { template: 2 }

  - id: "summarizer"       # Cat-3
    model: 0
    temperature: 0.4
    max_tokens: 300
    show: true
    blackboard:
      id: main
      read: true
      write: false
    prompt: { template: 3 }

edges:
  - node: "writer"
  - node: "enricher_a"
  - node: "enricher_b"
  - node: "summarizer"

from kegal import Compiler

with Compiler(uri="blackboard_graph.yml") as compiler:
    compiler.user_message = "Impact of autonomous vehicles on urban planning."
    compiler.compile()

    for node in compiler.get_outputs().nodes:
        if node.show:
            for msg in node.response.messages or []:
                print(msg)

After compile() the file BLACKBOARD.md on disk contains the full accumulated thread: the writer's overview plus both enrichers' additions.

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2. Intermediate: cleanup: false — accumulate across runs

By default cleanup: true truncates the board file at Compiler construction. Set cleanup: false to keep existing content and append new writes on top of it. This is useful for logs, journals, or multi-session accumulation.

blackboard:
  path: ./logs/
  boards:
    - id: journal
      file: journal.md
      cleanup: false       # keep all previous content

Each compile() call — across separate Compiler instances — appends to the same file. No content is ever lost between runs.

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3. Intermediate: multiple boards

Declare multiple boards in the same graph. Nodes reference them by ID. Each board has its own file; different nodes can write to different boards.

blackboard:
  path: ./
  boards:
    - id: facts
      file: facts.md
      cleanup: true
    - id: report
      file: report.md
      cleanup: true

nodes:
  - id: "researcher"
    blackboard:
      id: facts       # writes to facts.md
      read: false
      write: true
    ...

  - id: "writer"
    blackboard:
      id: report      # writes to report.md
      read: true      # reads report.md (+ any imports)
      write: true
    ...

  - id: "editor"
    blackboard:
      id: report
      read: true
      write: false
    ...

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4. Advanced: board import chains

The import key on a BlackboardEntry prepends other boards' content at read time. Files on disk stay separate; only the {blackboard} placeholder delivered to the node includes the imported content.

blackboard:
  path: ./
  boards:
    - id: facts
      file: facts.md
      cleanup: true

    - id: report
      file: report.md
      cleanup: true
      import: [facts]       # when reading 'report', prepend 'facts' first

Assembly order when node reads report:

content of facts.md  +  content of report.md

nodes:
  - id: "researcher"
    blackboard: { id: facts, read: false, write: true }
    ...

  - id: "writer"
    blackboard:
      id: report
      read: true    # {blackboard} = facts content + report content
      write: true
    prompt:
      template: 1   # template uses {blackboard}

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5. Advanced: full two-board pipeline

A researcher accumulates raw notes into facts. A writer reads both facts and the current report draft (via import), then extends the draft. An editor reads the final draft for review.

models:
  - llm: "ollama"
    model: "qwen2.5:7b"
    host: "http://localhost:11434"

blackboard:
  path: ./
  boards:
    - id: facts
      file: facts.md
      cleanup: true
    - id: report
      file: report.md
      cleanup: true
      import: [facts]

prompts:
  - template:  # 0 — researcher
      system_template:
        role: Write concise factual notes about the topic. Max 5 bullet points.
      prompt_template:
        topic: "{user_message}"

  - template:  # 1 — writer
      system_template:
        role: |
          You are a science writer. The research notes and existing report draft
          are below. Add one new paragraph to the article.
      prompt_template:
        material: |
          {blackboard}

  - template:  # 2 — editor
      system_template:
        role: |
          You are an editor. Review the article below and summarise any
          improvements needed in one sentence.
      prompt_template:
        article: |
          {blackboard}

nodes:
  - id: "researcher"        # Cat-1 on 'facts'
    model: 0
    temperature: 0.3
    max_tokens: 300
    show: false
    blackboard: { id: facts, read: false, write: true }
    prompt: { template: 0, user_message: true }

  - id: "writer"            # Cat-2 on 'report' (reads facts via import)
    model: 0
    temperature: 0.5
    max_tokens: 500
    show: false
    blackboard: { id: report, read: true, write: true }
    prompt: { template: 1 }

  - id: "editor"            # Cat-3 on 'report'
    model: 0
    temperature: 0.3
    max_tokens: 256
    show: true
    blackboard: { id: report, read: true, write: false }
    prompt: { template: 2 }

edges:
  - node: "researcher"
  - node: "writer"
  - node: "editor"

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6. Reading board content in Python

After compile(), board files on disk hold the accumulated text. Read them directly with standard file I/O:

from pathlib import Path
from kegal import Compiler

with Compiler(uri="blackboard_graph.yml") as compiler:
    compiler.user_message = "Autonomous vehicles."
    compiler.compile()

# Board files are available after compile() even while inside the `with` block
board_content = Path("BLACKBOARD.md").read_text(encoding="utf-8")
print(board_content)

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Key points

• Board IDs must be unique within the graph; duplicate IDs raise ValueError at parse time.
• Node blackboard.id must reference a declared board ID; unknown IDs raise ValueError at Compiler construction.
• Cat-1 → Cat-2 (parallel) → Cat-3 ordering is inferred automatically — no children/fan_in declarations are needed for the basic pattern.
• cleanup: true (default) truncates the board at init; cleanup: false preserves existing content.
• import is evaluated at read time — imported boards are prepended to the reading node's {blackboard} but files on disk are never merged.
• Empty segments (missing or empty files) are skipped during import assembly.

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Related tutorials: 04 Fan-out and fan-in — explicit edge-based parallelism
01 Message passing — alternative data-flow mechanism