docs: updated the graph agent diagrams to use mermaid diagrams for more easily readable diagramming in their READMEs
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@@ -22,28 +22,43 @@ agent, this is the file to read alongside the
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## Workflow
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17 nodes. `->` is the static route; a script node can also route
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dynamically via `_next`. The `▶▶` line is a parallel super-step —
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those branches run concurrently:
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17 nodes. Solid arrows are static `next` / `routes` edges declared in
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`graph.yaml`; script nodes can also route dynamically via `_next` (shown as
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labeled branches out of the diamond). Dotted arrows show `map` fan-out — the
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`research_each_question` node spawns one `research_one_question` branch per
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sub-question and joins them before continuing.
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```
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parse_request (script) -> bootstrap_research (or -> ask_topic if no topic)
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ask_topic (input) -> bootstrap_research
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bootstrap_research (script) -> [plan, knowledge_lookup] ▶▶ parallel
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plan (llm + output_schema) -> research_each_question
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knowledge_lookup (rag) -> research_each_question
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research_each_question (map) -> combine_findings (spawns one branch per question)
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└─ research_one_question (llm) (atomic; runs N×, joins at map)
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combine_findings (script) -> vet_sources
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vet_sources (llm + custom tool) -> critique
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critique (llm) -> reflexion_gate
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reflexion_gate (script) -> synthesize (or -> research_each_question: reflexion loop)
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synthesize (agent: report-writer) -> verify_sources
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verify_sources (script) -> approve
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approve (approval) -> end_accepted ("accept")
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-> end_rejected ("reject")
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-> incorporate_feedback (any free-form answer)
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incorporate_feedback (script) -> research_each_question (the human-feedback loop)
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```mermaid
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flowchart TD
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parse_request{"parse_request<br/>script"}
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parse_request -->|"topic given"| bootstrap_research
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parse_request -->|"no topic"| ask_topic
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ask_topic[/"ask_topic<br/>input"/] --> bootstrap_research
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bootstrap_research{"bootstrap_research<br/>script"}
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bootstrap_research --> plan
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bootstrap_research --> knowledge_lookup
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plan["plan<br/>llm + output_schema"] --> research_each_question
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knowledge_lookup[("knowledge_lookup<br/>rag")] --> research_each_question
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research_each_question[\research_each_question<br/>map/]
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research_each_question -. "spawns × N" .-> research_one_question["research_one_question<br/>llm + web tools"]
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research_each_question --> combine_findings
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combine_findings{"combine_findings<br/>script"} --> vet_sources
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vet_sources["vet_sources<br/>llm + classify_source"] --> critique
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critique["critique<br/>llm"] --> reflexion_gate
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reflexion_gate{"reflexion_gate<br/>script"}
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reflexion_gate -->|"PASS"| synthesize
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reflexion_gate -->|"REVISE (budget left)"| research_each_question
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reflexion_gate -->|"REVISE (budget spent)"| synthesize
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synthesize[["synthesize<br/>agent → report-writer"]] --> verify_sources
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verify_sources{"verify_sources<br/>script"} --> approve
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approve{{"approve<br/>approval"}}
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approve -->|"accept"| end_accepted
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approve -->|"reject"| end_rejected
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approve -->|"other (free-form feedback)"| incorporate_feedback
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incorporate_feedback{"incorporate_feedback<br/>script"} --> research_each_question
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end_accepted(["end_accepted<br/>report"])
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end_rejected(["end_rejected"])
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```
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### Node-type breakdown
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