1name: ad_hoc_question
 2description: |
 3  Lightweight Q&A arena for free-form finance/markets questions that
 4  don't fit a single arena's mold. Faster + lighter than mastermind
 5  (one analyst + one synthesis pass, no graph_query / memory_retrieve
 6  / debate phases).
 7
 8  Target shapes accepted:
 9    target = {"question": "What's the impact of higher rates on small-cap tech?"}
10    target = {"text": "Explain the AI capex cycle in three sentences"}
11
12  Outputs a Prognosis envelope: no BUY/SELL/HOLD (this isn't a trade),
13  but the `answer` + `counter_view` are surfaced in Prognosis.statement
14  and Prognosis.alternatives_considered.
15
16schedule: null
17output_stream: "maf:arena:ad_hoc_question:output"
18max_iterations: 1
19target_key: question
20applicable_target_types: ["question", "free_text"]
21
22llm:
23  default_provider: ollama
24  quick_provider: ollama
25  quick_model: "auto"
26  deep_provider: ollama
27  deep_model: "auto"
28  providers:
29    ollama:
30      api_key: "${OLLAMA_API_KEY}"
31      model: "auto"
32      base_url: "https://ollama.com/v1"
33      max_output_tokens: 6144
34      temperature: 0.4
35
36memory: {}
37
38sources:
39  - name: web
40    adapter: web_search
41    config: {}
42  - name: knowledge_base
43    adapter: fomo2_knowledge
44    config: {}
45  - name: latest_news
46    adapter: trtools2_news
47    config: { count: 30 }
48  - name: eodhd_news
49    adapter: eodhd
50    config: { tool: get_news }
51  - name: macro_context
52    adapter: fred_api
53    config: {}
54  - name: filings
55    adapter: sec_filings
56    config: {}
57
58phases:
59  - name: research
60    pattern: sequential
61    transition: synthesis
62    agents:
63      - name: general_analyst
64        role: specialist
65        system_prompt_file: src/maf/prompts/anthropic_fs/agents/general_analyst.md
66        sources:
67          - web
68          - knowledge_base
69          - latest_news
70          - eodhd_news
71          - macro_context
72          - filings
73        llm_tier: deep
74        max_react_steps: 6
75
76  - name: synthesis
77    pattern: sequential
78    transition: END
79    agents:
80      - name: synthesis_agent
81        role: synthesis
82        # Dedicated MAF-native ad-hoc synthesis — emits NEUTRAL signal
83        # (Q&A is non-directional), copies the analyst's answer into
84        # synthesis_reasoning, leaves synthesis_verdict None.
85        system_prompt_file: src/maf/prompts/anthropic_fs/agents/ad_hoc_synthesis.md
86        llm_tier: quick
87        max_react_steps: 1