@statelyai/agent/dist/index.js

Stateful agents that make decisions based on finite-state machine models

"use strict";
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        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
  }
  return to;
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var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(
  // If the importer is in node compatibility mode or this is not an ESM
  // file that has been converted to a CommonJS file using a Babel-
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  mod
));
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);

// src/index.ts
var src_exports = {};
__export(src_exports, {
  createAgent: () => createAgent,
  fromDecision: () => fromDecision,
  fromText: () => fromText,
  fromTextStream: () => fromTextStream
});
module.exports = __toCommonJS(src_exports);

// src/agent.ts
var import_xstate3 = require("xstate");

// src/planners/simplePlanner.ts
var import_ai = require("ai");

// src/utils.ts
var import_object_hash = __toESM(require("object-hash"));
function getAllTransitions(state) {
  const nodes = state._nodes;
  const transitions = nodes.map((node) => [...node.transitions.values()]).map((nodeTransitions) => {
    return nodeTransitions.map((nodeEventTransitions) => {
      return nodeEventTransitions.map((transition) => {
        return {
          ...transition,
          guard: typeof transition.guard === "string" ? { type: transition.guard } : transition.guard
          // TODO: fix
        };
      });
    });
  }).flat(2);
  return transitions;
}
function getAllMachineTransitions(stateNode) {
  const transitions = [...stateNode.transitions.values()].map((nodeTransitions) => {
    return nodeTransitions.map((transition) => {
      return {
        ...transition,
        guard: typeof transition.guard === "string" ? { type: transition.guard } : transition.guard
        // TODO: fix
      };
    });
  }).flat(2);
  for (const s of Object.values(stateNode.states)) {
    const stateTransitions = getAllMachineTransitions(s);
    transitions.push(...stateTransitions);
  }
  return transitions;
}
function wrapInXml(tagName, content) {
  return `<${tagName}>${content}</${tagName}>`;
}
function randomId() {
  const timestamp = Date.now().toString(36);
  const random = Math.random().toString(36).substring(2, 9);
  return timestamp + random;
}
var machineHashes = /* @__PURE__ */ new WeakMap();
function getMachineHash(machine) {
  if (machineHashes.has(machine)) return machineHashes.get(machine);
  const transitions = getAllMachineTransitions(machine.root);
  const machineHash = (0, import_object_hash.default)(transitions);
  machineHashes.set(machine, machineHash);
  return machineHash;
}

// src/templates/defaultText.ts
var defaultTextTemplate = (data) => {
  const preamble = [
    data.context ? wrapInXml("context", JSON.stringify(data.context)) : void 0
  ].filter(Boolean).join("\n");
  return `
${preamble}

${data.goal}
  `.trim();
};

// src/text.ts
var import_xstate = require("xstate");
async function getMessages(agent, prompt, options) {
  let messages = [];
  if (typeof options.messages === "function") {
    messages = await options.messages(agent);
  } else if (options.messages) {
    messages = options.messages;
  }
  messages = messages.concat({
    role: "user",
    content: prompt
  });
  return messages;
}
async function agentGenerateText(agent, options) {
  const resolvedOptions = {
    ...agent.defaultOptions,
    ...options,
    correlationId: options.correlationId ?? randomId()
  };
  const template = resolvedOptions.template ?? defaultTextTemplate;
  const id = randomId();
  const goal = typeof resolvedOptions.prompt === "string" ? resolvedOptions.prompt : await resolvedOptions.prompt(agent);
  const promptWithContext = template({
    goal,
    context: resolvedOptions.context
  });
  const messages = await getMessages(agent, promptWithContext, resolvedOptions);
  agent.addMessage({
    id,
    role: "user",
    content: promptWithContext,
    timestamp: Date.now(),
    correlationId: resolvedOptions.correlationId,
    parentCorrelationId: resolvedOptions.parentCorrelationId
  });
  const result = await agent.adapter.generateText({
    ...resolvedOptions,
    prompt: void 0,
    messages
  });
  agent.addMessage({
    content: result.text,
    id,
    role: "assistant",
    timestamp: Date.now(),
    responseId: id,
    result,
    correlationId: resolvedOptions.correlationId,
    parentCorrelationId: resolvedOptions.parentCorrelationId
  });
  return {
    ...result,
    parentCorrelationId: resolvedOptions.parentCorrelationId,
    correlationId: resolvedOptions.correlationId
  };
}
async function agentStreamText(agent, options) {
  const resolvedOptions = {
    ...agent.defaultOptions,
    ...options,
    correlationId: options.correlationId ?? randomId()
  };
  const template = resolvedOptions.template ?? defaultTextTemplate;
  const id = randomId();
  const goal = typeof resolvedOptions.prompt === "string" ? resolvedOptions.prompt : await resolvedOptions.prompt(agent);
  const promptWithContext = template({
    goal,
    context: resolvedOptions.context
  });
  const messages = await getMessages(agent, promptWithContext, resolvedOptions);
  agent.addMessage({
    role: "user",
    content: promptWithContext,
    id,
    timestamp: Date.now(),
    correlationId: resolvedOptions.correlationId,
    parentCorrelationId: resolvedOptions.parentCorrelationId
  });
  const result = await agent.adapter.streamText({
    ...resolvedOptions,
    prompt: void 0,
    messages,
    onFinish: async (res) => {
      agent.addMessage({
        role: "assistant",
        result: {
          text: res.text,
          finishReason: res.finishReason,
          logprobs: void 0,
          responseMessages: [],
          toolCalls: [],
          toolResults: [],
          usage: res.usage,
          warnings: res.warnings,
          rawResponse: res.rawResponse,
          roundtrips: [],
          // TODO: how do we get this information?,
          steps: res.steps,
          response: res.response,
          experimental_providerMetadata: res.experimental_providerMetadata
        },
        content: res.text,
        id: randomId(),
        timestamp: Date.now(),
        responseId: id,
        correlationId: resolvedOptions.correlationId,
        parentCorrelationId: resolvedOptions.parentCorrelationId
      });
    }
  });
  return {
    ...result,
    textStream: result.textStream,
    fullStream: result.fullStream,
    parentCorrelationId: resolvedOptions.parentCorrelationId,
    correlationId: resolvedOptions.correlationId
  };
}
function fromTextStream(agent, defaultOptions) {
  return (0, import_xstate.fromObservable)(({ input }) => {
    const observers = /* @__PURE__ */ new Set();
    (async () => {
      const result = await agentStreamText(agent, {
        ...defaultOptions,
        ...input,
        context: input.context
      });
      for await (const part of result.fullStream) {
        if (part.type === "text-delta") {
          observers.forEach((observer) => {
            observer.next?.(part);
          });
        }
      }
    })();
    return {
      subscribe: (...args) => {
        const observer = (0, import_xstate.toObserver)(...args);
        observers.add(observer);
        return {
          unsubscribe: () => {
            observers.delete(observer);
          }
        };
      }
    };
  });
}
function fromText(agent, defaultOptions) {
  return (0, import_xstate.fromPromise)(async ({ input }) => {
    return await agentGenerateText(agent, {
      ...input,
      ...defaultOptions,
      context: input.context
    });
  });
}

// src/planners/simplePlanner.ts
function getTransitions(state, machine) {
  if (!machine) {
    return [];
  }
  const resolvedState = machine.resolveState(state);
  return getAllTransitions(resolvedState);
}
var simplePlannerPromptTemplate = (data) => {
  return `
${defaultTextTemplate(data)}

Make at most one tool call to achieve the above goal. If the goal cannot be achieved with any tool calls, do not make any tool call.
  `.trim();
};
async function simplePlanner(agent, input) {
  const transitions = input.machine ? getTransitions(input.state, input.machine) : Object.entries(input.events).map(([eventType, { description }]) => ({
    eventType,
    description
  }));
  const filter = (eventType) => Object.keys(input.events).includes(eventType);
  const functionNameMapping = {};
  const toolTransitions = transitions.filter((t) => {
    return filter(t.eventType);
  }).map((t) => {
    const name = t.eventType.replace(/\./g, "_");
    functionNameMapping[name] = t.eventType;
    return {
      type: "function",
      eventType: t.eventType,
      description: t.description,
      name
    };
  });
  const toolMap = {};
  for (const toolTransitionData of toolTransitions) {
    const toolZodType = input.events?.[toolTransitionData.eventType];
    if (!toolZodType) {
      continue;
    }
    toolMap[toolTransitionData.name] = (0, import_ai.tool)({
      description: toolZodType?.description ?? toolTransitionData.description,
      parameters: toolZodType,
      execute: async (params) => {
        const event = {
          type: toolTransitionData.eventType,
          ...params
        };
        return event;
      }
    });
  }
  if (!Object.keys(toolMap).length) {
    return void 0;
  }
  const prompt = simplePlannerPromptTemplate({
    context: input.state.context,
    goal: input.goal
  });
  const messages = await getMessages(agent, prompt, input);
  const result = await agent.generateText({
    toolChoice: "required",
    ...input,
    prompt,
    messages,
    tools: toolMap
  });
  const singleResult = result.toolResults[0];
  if (!singleResult) {
    console.warn("No tool call results returned");
    return void 0;
  }
  return {
    goal: input.goal,
    state: input.state,
    execute: async (state) => {
      if (JSON.stringify(state) === JSON.stringify(input.state)) {
        return singleResult.result;
      }
      return void 0;
    },
    nextEvent: singleResult.result,
    sessionId: agent.sessionId,
    timestamp: Date.now()
  };
}

// src/decision.ts
var import_xstate2 = require("xstate");
async function agentDecide(agent, options) {
  const resolvedOptions = {
    ...agent.defaultOptions,
    ...options
  };
  const {
    planner = simplePlanner,
    goal,
    events = agent.events,
    state,
    machine,
    model = agent.model,
    ...otherPlanInput
  } = resolvedOptions;
  const plan = await planner(agent, {
    model,
    goal,
    events,
    state,
    machine,
    ...otherPlanInput
  });
  if (plan?.nextEvent) {
    agent.addPlan(plan);
    await resolvedOptions.execute?.(plan.nextEvent);
  }
  return plan;
}
function fromDecision(agent, defaultInput) {
  return (0, import_xstate2.fromPromise)(async ({ input, self }) => {
    const parentRef = self._parent;
    if (!parentRef) {
      return;
    }
    const snapshot = parentRef.getSnapshot();
    const inputObject = typeof input === "string" ? { goal: input } : input;
    const resolvedInput = {
      ...defaultInput,
      ...inputObject
    };
    const contextToInclude = resolvedInput.context === true ? (
      // include entire context
      parentRef.getSnapshot().context
    ) : resolvedInput.context;
    const state = {
      value: snapshot.value,
      context: contextToInclude
    };
    const plan = await agentDecide(agent, {
      machine: parentRef.logic,
      state,
      execute: async (event) => {
        parentRef.send(event);
      },
      ...resolvedInput
    });
    return plan;
  });
}

// src/adapters/vercel.ts
var import_ai2 = require("ai");
var vercelAdapter = {
  generateText: import_ai2.generateText,
  streamText: import_ai2.streamText
};

// src/agent.ts
var agentLogic = (0, import_xstate3.fromTransition)(
  (state, event, { emit }) => {
    switch (event.type) {
      case "agent.feedback": {
        state.feedback.push(event.feedback);
        emit({
          type: "feedback",
          // @ts-ignore TODO: fix types in XState
          feedback: event.feedback
        });
        break;
      }
      case "agent.observe": {
        state.observations.push(event.observation);
        emit({
          type: "observation",
          // @ts-ignore TODO: fix types in XState
          observation: event.observation
        });
        break;
      }
      case "agent.message": {
        state.messages.push(event.message);
        emit({
          type: "message",
          // @ts-ignore TODO: fix types in XState
          message: event.message
        });
        break;
      }
      case "agent.plan": {
        state.plans.push(event.plan);
        emit({
          type: "plan",
          // @ts-ignore TODO: fix types in XState
          plan: event.plan
        });
        break;
      }
      default:
        break;
    }
    return state;
  },
  () => ({
    feedback: [],
    messages: [],
    observations: [],
    plans: []
  })
);
function createAgent({
  name,
  description,
  model,
  events,
  context,
  planner = simplePlanner,
  stringify = JSON.stringify,
  getMemory,
  logic = agentLogic,
  adapter = vercelAdapter,
  ...generateTextOptions
}) {
  const agent = (0, import_xstate3.createActor)(logic);
  agent.events = events;
  agent.model = model;
  agent.name = name;
  agent.description = description;
  agent.adapter = adapter;
  agent.defaultOptions = { ...generateTextOptions, model };
  agent.select = (selector) => {
    return selector(agent.getSnapshot().context);
  };
  agent.memory = getMemory ? getMemory(agent) : void 0;
  agent.onMessage = (callback) => {
    agent.on("message", (ev) => callback(ev.message));
  };
  agent.decide = (opts) => {
    return agentDecide(agent, opts);
  };
  agent.addMessage = (messageInput) => {
    const message = {
      ...messageInput,
      id: messageInput.id ?? randomId(),
      timestamp: messageInput.timestamp ?? Date.now(),
      sessionId: agent.sessionId,
      correlationId: messageInput.correlationId ?? randomId()
    };
    agent.send({
      type: "agent.message",
      message
    });
    return message;
  };
  agent.getMessages = () => agent.getSnapshot().context.messages;
  agent.generateText = (opts) => agentGenerateText(agent, opts);
  agent.streamText = (opts) => agentStreamText(agent, opts);
  agent.addFeedback = (feedbackInput) => {
    const feedback = {
      ...feedbackInput,
      attributes: { ...feedbackInput.attributes },
      reward: feedbackInput.reward ?? 0,
      timestamp: feedbackInput.timestamp ?? Date.now(),
      sessionId: agent.sessionId
    };
    agent.send({
      type: "agent.feedback",
      feedback
    });
    return feedback;
  };
  agent.getFeedback = () => agent.getSnapshot().context.feedback;
  agent.addObservation = (observationInput) => {
    const { prevState, event, state } = observationInput;
    const observation = {
      prevState,
      event,
      state,
      id: observationInput.id ?? randomId(),
      sessionId: agent.sessionId,
      timestamp: observationInput.timestamp ?? Date.now(),
      machineHash: observationInput.machine ? getMachineHash(observationInput.machine) : void 0
    };
    agent.send({
      type: "agent.observe",
      observation
    });
    return observation;
  };
  agent.getObservations = () => agent.getSnapshot().context.observations;
  agent.addPlan = (plan) => {
    agent.send({
      type: "agent.plan",
      plan
    });
  };
  agent.getPlans = () => agent.getSnapshot().context.plans;
  agent.interact = (actorRef, getInput) => {
    let prevState = void 0;
    let subscribed = true;
    async function handleObservation(observationInput) {
      const observation = agent.addObservation(observationInput);
      const input = getInput?.(observation);
      if (input) {
        await agentDecide(agent, {
          machine: actorRef.src,
          state: observation.state,
          execute: async (event) => {
            actorRef.send(event);
          },
          ...input
        });
      }
      prevState = observationInput.state;
    }
    actorRef.system.inspect({
      next: async (inspEvent) => {
        if (!subscribed || inspEvent.actorRef !== actorRef || inspEvent.type !== "@xstate.snapshot") {
          return;
        }
        const observationInput = {
          event: inspEvent.event,
          prevState,
          state: inspEvent.snapshot,
          machine: actorRef.src
        };
        await handleObservation(observationInput);
      }
    });
    if (actorRef._processingStatus === 1) {
      handleObservation({
        prevState: void 0,
        event: { type: "" },
        // TODO: unknown events?
        state: actorRef.getSnapshot(),
        machine: actorRef.src
      });
    }
    return {
      unsubscribe: () => {
        subscribed = false;
      }
      // TODO: make this actually unsubscribe
    };
  };
  agent.types = {};
  agent.start();
  return agent;
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
  createAgent,
  fromDecision,
  fromText,
  fromTextStream
});