ragflow/agent/templates/cajal_scientific_paper_agent.json

{
  "id": "41",
  "title": {
    "en": "CAJAL scientific paper agent",
    "de": "CAJAL-Agent für wissenschaftliche Arbeiten",
    "zh": "CAJAL 科学论文助手"
  },
  "description": {
    "en": "A local-first scientific paper generation agent for RAGFlow. It is preconfigured for Agnuxo/CAJAL-4B-P2PCLAW through Ollama, retrieves knowledge-base evidence, and drafts citation-grounded LaTeX-ready academic sections.",
    "de": "Ein lokal ausgerichteter Agent zur Erstellung wissenschaftlicher Arbeiten in RAGFlow. Er ist für Agnuxo/CAJAL-4B-P2PCLAW über Ollama vorkonfiguriert, ruft Evidenz aus der Wissensdatenbank ab und erstellt zitationsgestützte, LaTeX-fähige akademische Abschnitte.",
    "zh": "面向 RAGFlow 的本地优先科学论文生成助手。该模板预配置 Agnuxo/CAJAL-4B-P2PCLAW（Ollama），可检索知识库证据，并生成带引用依据、适合 LaTeX 的学术章节。"
  },
  "canvas_type": "Agent",
  "canvas_types": [
    "Agent",
    "Recommended"
  ],
  "dsl": {
    "components": {
      "Agent:NewPumasLick": {
        "downstream": [
          "Message:OrangeYearsShine"
        ],
        "obj": {
          "component_name": "Agent",
          "params": {
            "delay_after_error": 1,
            "description": "",
            "exception_comment": "",
            "exception_default_value": "",
            "exception_goto": [],
            "exception_method": null,
            "frequencyPenaltyEnabled": false,
            "frequency_penalty": 0.5,
            "llm_id": "agnuxo/cajal-4b-p2pclaw@Ollama",
            "maxTokensEnabled": true,
            "max_retries": 3,
            "max_rounds": 3,
            "max_tokens": 32768,
            "mcp": [],
            "message_history_window_size": 12,
            "outputs": {
              "content": {
                "type": "string",
                "value": ""
              }
            },
            "parameter": "Precise",
            "presencePenaltyEnabled": false,
            "presence_penalty": 0.5,
            "prompts": [
              {
                "role": "user",
                "content": "# Research request\n{sys.query}\n\nUse the configured knowledge base retrieval tool before drafting. If no evidence is retrieved, state that limitation clearly."
              }
            ],
            "sys_prompt": "## Role & Task\nYou are **CAJAL**, a local-first scientific writing agent specialized in citation-grounded paper generation.\n\nUse RAGFlow retrieval results as the source of truth. Write precise academic content that can be pasted into a paper draft, technical report, or LaTeX manuscript. You are optimized for the local GGUF model `Agnuxo/CAJAL-4B-P2PCLAW` served through Ollama as `agnuxo/cajal-4b-p2pclaw`.\n\n## Operating Rules\n1. Decompose the user request into research goals, target section type, expected citation style, and missing evidence.\n2. Retrieve relevant knowledge-base passages before drafting factual claims.\n3. Ground every substantive claim in retrieved evidence. If evidence is missing, mark it as a limitation instead of inventing a citation.\n4. Prefer structured scientific writing: abstract, introduction, related work, methodology, experiments, results, limitations, and conclusion.\n5. Use LaTeX formatting for equations, symbols, algorithms, tables, and section headings when it helps the manuscript.\n6. Preserve traceability: cite source titles, document names, page numbers, or chunk identifiers when available in retrieved context.\n7. Keep language technical, concise, and reproducible. Avoid marketing language and vague generalizations.\n\n## Output Contract\nReturn one of the following, depending on the user request:\n- A complete paper section with citation markers and a short evidence map.\n- A literature review organized by themes, methods, findings, and gaps.\n- A methodology or experiment section with reproducible steps, assumptions, and limitations.\n- A LaTeX-ready abstract, introduction, or conclusion.\n\nAlways include:\n- **Draft**: the requested scientific content.\n- **Evidence used**: concise bullets mapping claims to retrieved sources.\n- **Limitations**: missing evidence, weak support, or assumptions that require verification.\n",
            "temperature": 0.2,
            "temperatureEnabled": true,
            "tools": [
              {
                "component_name": "Retrieval",
                "name": "Retrieval",
                "params": {
                  "cross_languages": [],
                  "description": "Retrieve papers, reports, datasets, and notes that ground CAJAL scientific writing outputs.",
                  "empty_response": "",
                  "kb_ids": [],
                  "keywords_similarity_weight": 0.7,
                  "outputs": {
                    "formalized_content": {
                      "type": "string",
                      "value": ""
                    }
                  },
                  "rerank_id": "",
                  "similarity_threshold": 0.2,
                  "top_k": 1024,
                  "top_n": 10,
                  "use_kg": false
                }
              }
            ],
            "topPEnabled": false,
            "top_p": 0.75,
            "user_prompt": "",
            "visual_files_var": ""
          }
        },
        "upstream": [
          "begin"
        ]
      },
      "Message:OrangeYearsShine": {
        "downstream": [],
        "obj": {
          "component_name": "Message",
          "params": {
            "content": [
              "{Agent:NewPumasLick@content}"
            ]
          }
        },
        "upstream": [
          "Agent:NewPumasLick"
        ]
      },
      "begin": {
        "downstream": [
          "Agent:NewPumasLick"
        ],
        "obj": {
          "component_name": "Begin",
          "params": {
            "enablePrologue": true,
            "inputs": {},
            "mode": "conversational",
            "prologue": "Hi, I am CAJAL in RAGFlow. Add research papers or datasets to your knowledge base, then ask me to draft a citation-grounded paper section, literature review, methodology, or LaTeX-ready abstract."
          }
        },
        "upstream": []
      }
    },
    "globals": {
      "sys.conversation_turns": 0,
      "sys.files": [],
      "sys.query": "",
      "sys.user_id": ""
    },
    "graph": {
      "edges": [
        {
          "data": {
            "isHovered": false
          },
          "id": "xy-edge__beginstart-Agent:NewPumasLickend",
          "source": "begin",
          "sourceHandle": "start",
          "target": "Agent:NewPumasLick",
          "targetHandle": "end"
        },
        {
          "data": {
            "isHovered": false
          },
          "id": "xy-edge__Agent:NewPumasLickstart-Message:OrangeYearsShineend",
          "markerEnd": "logo",
          "source": "Agent:NewPumasLick",
          "sourceHandle": "start",
          "style": {
            "stroke": "rgba(91, 93, 106, 1)",
            "strokeWidth": 1
          },
          "target": "Message:OrangeYearsShine",
          "targetHandle": "end",
          "type": "buttonEdge",
          "zIndex": 1001
        }
      ],
      "nodes": [
        {
          "data": {
            "form": {
              "enablePrologue": true,
              "inputs": {},
              "mode": "conversational",
              "prologue": "Hi, I am CAJAL in RAGFlow. Add research papers or datasets to your knowledge base, then ask me to draft a citation-grounded paper section, literature review, methodology, or LaTeX-ready abstract."
            },
            "label": "Begin",
            "name": "begin"
          },
          "dragging": false,
          "id": "begin",
          "measured": {
            "height": 48,
            "width": 200
          },
          "position": {
            "x": -9.569875358221438,
            "y": 205.84018385864917
          },
          "selected": false,
          "sourcePosition": "left",
          "targetPosition": "right",
          "type": "beginNode"
        },
        {
          "data": {
            "form": {
              "content": [
                "{Agent:NewPumasLick@content}"
              ]
            },
            "label": "Message",
            "name": "Scientific Draft"
          },
          "dragging": false,
          "id": "Message:OrangeYearsShine",
          "measured": {
            "height": 56,
            "width": 200
          },
          "position": {
            "x": 734.4061285881053,
            "y": 199.9706031723009
          },
          "selected": false,
          "sourcePosition": "right",
          "targetPosition": "left",
          "type": "messageNode"
        },
        {
          "data": {
            "form": {
              "delay_after_error": 1,
              "description": "",
              "exception_comment": "",
              "exception_default_value": "",
              "exception_goto": [],
              "exception_method": null,
              "frequencyPenaltyEnabled": false,
              "frequency_penalty": 0.5,
              "llm_id": "agnuxo/cajal-4b-p2pclaw@Ollama",
              "maxTokensEnabled": true,
              "max_retries": 3,
              "max_rounds": 3,
              "max_tokens": 32768,
              "mcp": [],
              "message_history_window_size": 12,
              "outputs": {
                "content": {
                  "type": "string",
                  "value": ""
                }
              },
              "parameter": "Precise",
              "presencePenaltyEnabled": false,
              "presence_penalty": 0.5,
              "prompts": [
                {
                  "role": "user",
                  "content": "# Research request\n{sys.query}\n\nUse the configured knowledge base retrieval tool before drafting. If no evidence is retrieved, state that limitation clearly."
                }
              ],
              "sys_prompt": "## Role & Task\nYou are **CAJAL**, a local-first scientific writing agent specialized in citation-grounded paper generation.\n\nUse RAGFlow retrieval results as the source of truth. Write precise academic content that can be pasted into a paper draft, technical report, or LaTeX manuscript. You are optimized for the local GGUF model `Agnuxo/CAJAL-4B-P2PCLAW` served through Ollama as `agnuxo/cajal-4b-p2pclaw`.\n\n## Operating Rules\n1. Decompose the user request into research goals, target section type, expected citation style, and missing evidence.\n2. Retrieve relevant knowledge-base passages before drafting factual claims.\n3. Ground every substantive claim in retrieved evidence. If evidence is missing, mark it as a limitation instead of inventing a citation.\n4. Prefer structured scientific writing: abstract, introduction, related work, methodology, experiments, results, limitations, and conclusion.\n5. Use LaTeX formatting for equations, symbols, algorithms, tables, and section headings when it helps the manuscript.\n6. Preserve traceability: cite source titles, document names, page numbers, or chunk identifiers when available in retrieved context.\n7. Keep language technical, concise, and reproducible. Avoid marketing language and vague generalizations.\n\n## Output Contract\nReturn one of the following, depending on the user request:\n- A complete paper section with citation markers and a short evidence map.\n- A literature review organized by themes, methods, findings, and gaps.\n- A methodology or experiment section with reproducible steps, assumptions, and limitations.\n- A LaTeX-ready abstract, introduction, or conclusion.\n\nAlways include:\n- **Draft**: the requested scientific content.\n- **Evidence used**: concise bullets mapping claims to retrieved sources.\n- **Limitations**: missing evidence, weak support, or assumptions that require verification.\n",
              "temperature": 0.2,
              "temperatureEnabled": true,
              "tools": [
                {
                  "component_name": "Retrieval",
                  "name": "Retrieval",
                  "params": {
                    "cross_languages": [],
                    "description": "Retrieve papers, reports, datasets, and notes that ground CAJAL scientific writing outputs.",
                    "empty_response": "",
                    "kb_ids": [],
                    "keywords_similarity_weight": 0.7,
                    "outputs": {
                      "formalized_content": {
                        "type": "string",
                        "value": ""
                      }
                    },
                    "rerank_id": "",
                    "similarity_threshold": 0.2,
                    "top_k": 1024,
                    "top_n": 10,
                    "use_kg": false
                  }
                }
              ],
              "topPEnabled": false,
              "top_p": 0.75,
              "user_prompt": "",
              "visual_files_var": ""
            },
            "label": "Agent",
            "name": "CAJAL Writer"
          },
          "dragging": false,
          "id": "Agent:NewPumasLick",
          "measured": {
            "height": 84,
            "width": 200
          },
          "position": {
            "x": 347.00048227952215,
            "y": 186.49109364794631
          },
          "selected": false,
          "sourcePosition": "right",
          "targetPosition": "left",
          "type": "agentNode"
        }
      ]
    },
    "history": [],
    "memory": [],
    "messages": [],
    "path": [],
    "retrieval": []
  },
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}