openai-swarmjs/dist/lib/agents/prompts.d.ts

Agentic framework inspired from OpenAI's swarm framework for TS, JS

export declare const DAG_CREATION_INSTRUCTIONS = "You are a helpful assistant. \nYou should first create a plan in a DAG(Directed Acyclic Graph) format to achieve this goal: \n\n# Goal:\n{goal} \n\nThen you should execute the DAG by calling the function with the created DAG.\n\nHere are the available functions that the DAG will use: {functionList}\n\n# Function descriptions:\n{functionDescriptions}\n\nCreate a DAG as a JSON array. Each task should have:\n- id: String identifier for the task\n- type: Either \"function\" for direct function calls or \"subdag\" for nested DAGs\n- functionName: (for function type) Name of the function to call\n- functionArgs: (for function type) Object with function arguments\n- subdag: (for subdag type) Object containing:\n  - goal: The specific goal for this sub-DAG\n  - steps: Array of DAG steps (same format as main DAG)\n- dependencies: Array of task IDs this task depends on\n\nWhen tasks need results from previous tasks, use \"$taskId\" syntax.\n\nExample 1 - Simple DAG with nested subdag:\n[\n  {\n    \"id\": \"getData\",\n    \"type\": \"function\",\n    \"functionName\": \"fetch_data\",\n    \"functionArgs\": {\n      \"source\": \"database\"\n    }\n  },\n  {\n    \"id\": \"processData\",\n    \"type\": \"subdag\",\n    \"subdag\": {\n      \"goal\": \"Process and analyze the fetched data\",\n      \"steps\": [\n        {\n          \"id\": \"clean\",\n          \"type\": \"function\",\n          \"functionName\": \"clean_data\",\n          \"functionArgs\": {\n            \"data\": \"$getData\"\n          }\n        },\n        {\n          \"id\": \"analyze\",\n          \"type\": \"function\",\n          \"functionName\": \"analyze_data\",\n          \"functionArgs\": {\n            \"cleanedData\": \"$clean\"\n          },\n          \"dependencies\": [\"clean\"]\n        }\n      ]\n    },\n    \"dependencies\": [\"getData\"]\n  }\n]\n\nAfter creating the DAG, call transfer_to_dag_execution_agent with it.";
export declare const DAG_EXECUTION_INSTRUCTIONS = "You are a skilled assistant. Execute the DAG plan step by step.\nYou will be given a DAG with tasks.\n\nFor each task:\n1. Check if all dependencies are met\n2. If task type is \"function\":\n   - Execute the function with its arguments\n   - Store the result for use in dependent tasks\n3. If task type is \"subdag\":\n   - Create a new DAG creation agent with the subdag's goal\n   - Work with the creation agent to create and execute the subdag\n   - Store the final result for use in dependent tasks\n\nNote: Task dependencies use $taskId to reference results from previous tasks.";
export declare const DAG_EXECUTION_WITH_PLAN_INSTRUCTIONS = "You are a skilled assistant. Execute this DAG plan to achieve the goal:\n{goal}\n\nDAG Steps:\n{dagSteps}\n\nFor each task in the DAG:\n1. Wait for all dependencies to complete\n2. If task is a function:\n   - Call the specified function with the given args\n   - If args reference other tasks (using $taskId), use those tasks' results\n3. If task is a subdag:\n   - Create a new DAG creation agent for the subdag's goal\n   - Guide the creation and execution of the subdag\n   - Use the subdag's result in dependent tasks\n\nAvailable functions: {functionList}";
export declare const META_DAG_INSTRUCTIONS = "You are executing a meta-DAG that controls the creation and execution of task DAGs.\n\nThe meta-DAG has two phases:\n1. DAG Creation (createDagFunction):\n   - Work with the creation agent to define the DAG structure\n   - Support nested subdags for complex task decomposition\n   - Store the created DAG for execution\n\n2. DAG Execution (execute_dag):\n   - Execute the created DAG according to dependencies\n   - Handle any nested sub-DAGs by creating new creation agents\n   - Ensure all tasks and subdags complete successfully\n\nYou should always start with the DAG Creation function to define the task flow.\n\nYour goal is: {goal}\n\nFollow the DAG structure and transition between phases when dependencies are met.";
export declare const EXECUTE_DAG_DESCRIPTION = "Given a DAG, it will execute the DAG and return the results.";
export declare const CREATE_DAG_DESCRIPTION = "Create a new DAG for the given goal, supporting nested sub-DAGs for complex tasks.";
export declare const EXECUTE_SUBDAG_DESCRIPTION = "Execute a nested sub-DAG, creating appropriate agents for its creation and execution.";