nika-init 0.64.0

Nika project scaffolding — course generator, workflow templates, showcase
Documentation 
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# =============================================================================
# SHOWCASE 09 — Research Agent with Web Sources
# =============================================================================
# requires_llm: true
# category: advanced
#
# Fetches from multiple web sources, feeds to a research agent with
# MCP filesystem access, produces a synthesis report.

schema: "nika/workflow@0.12"
workflow: research-agent-with-web
provider: "{{PROVIDER}}"
model: "{{MODEL}}"

artifacts:
  dir: .

mcp:
  filesystem:
    command: "npx"
    args:
      - "-y"
      - "@anthropic/mcp-filesystem"

tasks:
  - id: source_blog
    fetch:
      url: "https://blog.rust-lang.org/"
      extract: markdown
      timeout: 20

  - id: source_feed
    fetch:
      url: "https://blog.rust-lang.org/feed.xml"
      extract: feed
      timeout: 15

  - id: source_hn
    fetch:
      url: "https://news.ycombinator.com/"
      extract: article
      timeout: 20

  - id: research_agent
    depends_on: [source_blog, source_feed, source_hn]
    with:
      blog: $source_blog
      feed: $source_feed
      hn: $source_hn
    agent:
      system: "You are a senior tech researcher with filesystem and builtin tools."
      prompt: |
        Analyze these sources and produce a research brief:
        Blog: {{with.blog | first(2000)}}
        Feed: {{with.feed | first(1500)}}
        HN: {{with.hn | first(1500)}}
        Identify top 5 trends. Call nika_complete with your brief.
      mcp: [filesystem]
      tools: [builtin]
      max_turns: 8
      max_tokens: 2000
      token_budget: 18000
      completion:
        mode: explicit
      guardrails:
        - type: length
          min_words: 250
          on_failure: retry
        - type: regex
          pattern: "(?i)trend"
          message: "Must identify trends"
          on_failure: retry
    artifact:
      path: output/research-brief.md

  - id: executive_summary
    depends_on: [research_agent]
    with:
      research: $research_agent
    infer:
      prompt: "Write a 200-word executive summary: {{with.research}}"
      temperature: 0.3
      max_tokens: 500
    artifact:
      path: output/executive-summary.md