Adds `marchwarden replay <trace_id>` to pretty-print a prior research
run from its JSONL trace file. Resolves the trace under
~/.marchwarden/traces/ by default; --trace-dir overrides for tests and
custom locations. Renders each step as a row with action, decision,
extra fields, and content_hash. Friendly errors for unknown trace_id
and malformed JSON lines.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Click app with `ask` subcommand that spawns the web researcher MCP
server over stdio, calls the research tool, and pretty-prints the
ResearchResult contract using rich (panels for answer/confidence/cost,
tables for citations, gaps, discovery events, and open questions).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
FastMCP server exposing a single 'research' tool:
- Delegates to WebResearcher with keys from ~/secrets
- Accepts question, context, depth, max_iterations, token_budget
- Returns full ResearchResult as JSON
- Configurable model via MARCHWARDEN_MODEL env var
- Runnable as: python -m researchers.web
4 tests: secret reading, JSON response validation, default parameters.
Refs: archeious/marchwarden#1
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
New field on ResearchResult: open_questions — follow-up questions that
emerged from the research itself. Distinct from gaps (backward: what
failed) and discovery_events (sideways: what's lateral). Open questions
look forward: 'based on what I found, this needs deeper investigation.'
- OpenQuestion model: question, context, priority (high/medium/low),
source_locator
- Updated agent synthesis prompt to produce open_questions
- Updated agent result builder to parse open_questions from JSON
- 3 new tests for OpenQuestion model
- Updated existing tests for new field
77 tests passing.
Refs: archeious/marchwarden#1
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
WebResearcher — the core agentic research loop:
- Tool-use loop: Claude decides when to search (Tavily) and fetch (httpx)
- Budget enforcement: stops at max_iterations or token_budget
- Synthesis step: separate LLM call produces structured ResearchResult JSON
- Fallback: valid ResearchResult even when synthesis JSON is unparseable
- Full trace logging at every step (start, search, fetch, synthesis, complete)
- Populates all contract fields: raw_excerpt, categorized gaps,
discovery_events, confidence_factors, cost_metadata with model_id
9 tests: complete research loop, budget exhaustion, synthesis failure
fallback, trace file creation, fetch_url tool integration, search
result formatting.
Refs: archeious/marchwarden#1
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
