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Documentation Index

Fetch the complete documentation index at: https://thinkwell.sh/llms.txt

Use this file to discover all available pages before exploring further.

Sessions enable multi-turn conversations with an agent, maintaining context across multiple think() calls. This is useful when you need the agent to remember previous interactions within a conversation.

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Creating a Session

Create a session using agent.createSession(): 
import { open } from "thinkwell";

const agent = await open('claude');
const session = await agent.createSession({ cwd: "/my/project" });

​
Multi-Turn Conversations

Unlike standalone agent.think() calls, prompts sent through a session maintain conversation context. The agent remembers what was discussed in previous turns: 
/** @JSONSchema */
interface Analysis {
  issues: string[];
  severity: "low" | "medium" | "high";
}

/** @JSONSchema */
interface Fixes {
  suggestions: string[];
}

// First turn - analyze the codebase
const analysis = await session
  .think(Analysis.Schema)
  .text("Analyze this codebase for potential issues")
  .run();

console.log(`Found ${analysis.issues.length} issues`);

// Second turn - the agent remembers the analysis
const fixes = await session
  .think(Fixes.Schema)
  .text("Suggest fixes for the top issues you identified")
  .run();

for (const suggestion of fixes.suggestions) {
  console.log(`- ${suggestion}`);
}

​
Session Options

When creating a session, you can configure it with SessionOptions: 
const session = await agent.createSession({
  cwd: "/path/to/working/directory",
  systemPrompt: "You are a helpful code reviewer."
});
OptionTypeDescription
cwdstringWorking directory for the session. Defaults to process.cwd().
systemPromptstringSystem prompt that applies to all turns in this session.

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Session API

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sessionId

The unique identifier for this session: 
console.log(`Session ID: ${session.sessionId}`);

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think(schema)

Create a Plan for constructing a prompt. Works the same as agent.think(), but maintains conversation context within the session: 
const result = await session
  .think(OutputSchema)
  .text("Your prompt here")
  .run();

​
close()

Close the session when you’re done. After closing, no more prompts can be sent through this session: 
session.close();
The agent connection remains open and can be used for other sessions or standalone calls.

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Complete Example

Here’s a complete example showing a multi-turn code review session: 
import { open } from "thinkwell";

/** @JSONSchema */
interface ReviewResult {
  summary: string;
  issues: Array<{
    file: string;
    line: number;
    description: string;
  }>;
}

/** @JSONSchema */
interface FixPlan {
  steps: string[];
  estimatedEffort: "trivial" | "small" | "medium" | "large";
}

async function reviewCode(projectPath: string) {
  const agent = await open('claude');
  const session = await agent.createSession({ cwd: projectPath });

  try {
    // First turn: review the code
    const review = await session
      .think(ReviewResult.Schema)
      .text("Review the code in this project for bugs and improvements")
      .run();

    console.log(`Review: ${review.summary}`);
    console.log(`Found ${review.issues.length} issues\n`);

    // Second turn: create a fix plan based on the review
    const plan = await session
      .think(FixPlan.Schema)
      .text("Create a plan to fix the most critical issues you found")
      .run();

    console.log(`Estimated effort: ${plan.estimatedEffort}`);
    console.log("Steps:");
    plan.steps.forEach((step, i) => console.log(`${i + 1}. ${step}`));

  } finally {
    session.close();
    agent.close();
  }
}

reviewCode("/path/to/project");

​
Sessions vs Standalone Calls

Use sessions when:
  • You need multi-turn conversations
  • Context from previous interactions matters
  • You’re building a conversational workflow
Use standalone agent.think() calls when:
  • Each request is independent
  • You don’t need conversation history
  • You want simpler, stateless interactions