### Install Google ADK TypeScript Package

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Instructions to install the @waldzellai/adk-typescript package using npm.

```bash
npm install @waldzellai/adk-typescript
```

--------------------------------

### Quick Start: Running Agentic Scripts for Waldzell AI

Source: https://github.com/waldzellai/adk-typescript/blob/main/agentic-scripts/README.md

This section provides a quick guide to set up and run the agentic scripts for Waldzell AI. It includes commands to make the scripts executable, run the ADAS Meta Agent for project enhancement, monitor performance, and initiate intelligent debugging for live systems.

```bash
# Make scripts executable
chmod +x agentic-scripts/**/*.sh

# Run ADAS Meta Agent
./agentic-scripts/evolution/adas-meta-agent.sh enhance-waldzell-project 3

# Monitor performance
./agentic-scripts/optimization/performance-driven-auto-tuning.sh

# Intelligent debugging
./agentic-scripts/dev-tools/intelligent-debugger.sh --live
```

--------------------------------

### Install Effect.ts Dependencies

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Installs the necessary Effect.ts packages for the project, including core Effect, Schema, and Platform modules, as part of the conservative foundation phase.

```bash
npm install effect @effect/schema @effect/platform
```

--------------------------------

### Build ADK TypeScript Project

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Commands to install dependencies and build the ADK TypeScript project.

```bash
npm install
npm run build
```

--------------------------------

### Install Effect.ts Dependencies

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Installs the core Effect.ts library and its schema and platform modules using npm, which are required for integrating Effect.ts into the project.

```Shell
npm install effect @effect/schema @effect/platform
```

--------------------------------

### Systematic Type Safety Recovery (Phase 2) Example

Source: https://github.com/waldzellai/adk-typescript/blob/main/AUTOMATION.md

Illustrates the execution of the `npm run claude:phase2` command, which performs systematic type safety recovery. The example includes the command itself and its typical output, showing the progress of fixing 'any' types, running tests, and reducing ESLint errors.

```bash
# Systematic type safety recovery
npm run claude:phase2

# Output:
# 🔧 Fixing 'any' types in src/google/adk/auth/auth_credential.ts...
# ✅ Fixed src/google/adk/auth/auth_credential.ts
# 🧪 Running tests...
# ✅ All tests pass
# 🔍 Running lint...
# ✅ ESLint errors reduced from 50 to 23
```

--------------------------------

### Abstract EffectTool Class with Resource Management and Example Database Query Tool

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This TypeScript code defines an abstract 'EffectTool' class that provides a standardized structure for tool execution, including argument validation with 'Schema', resource setup and cleanup using 'Effect.Resource', and execution with timeout. It also includes a 'DatabaseQueryTool' example, demonstrating how to extend the abstract class to implement a specific tool that manages database connections and executes SQL queries.

```typescript
// src/tools/effect-tool.ts
import { Effect, Resource, Duration } from 'effect'

export abstract class EffectTool {
  abstract name: string
  abstract description: string
  abstract schema: Schema.Schema<unknown>

  // Main execution with resource management
  execute(
    args: unknown,
    context: ToolContext
  ): Effect.Effect<ToolResult, ToolError> {
    return Effect.gen(function* (_) {
      // Validate arguments
      const validArgs = yield* _(
        Schema.decodeUnknown(this.schema)(args),
        Effect.mapError(error => new ToolError({
          tool: this.name,
          args: args as Record<string, unknown>,
          cause: `Invalid arguments: ${error.message}`,
          recoverable: true
        }))
      )

      // Setup tool resources
      const resources = yield* _(this.setupResources(validArgs, context))

      // Execute with timeout and resource cleanup
      return yield* _(
        Resource.use(resources, res => this.executeImpl(validArgs, res, context)),
        Effect.timeout(Duration.seconds(30)),
        Effect.mapError(error => new ToolError({
          tool: this.name,
          args: validArgs as Record<string, unknown>,
          cause: error.message,
          recoverable: this.isRecoverable(error)
        }))
      )
    })
  }

  // Resource setup (database connections, API clients, etc.)
  protected setupResources(
    args: unknown,
    context: ToolContext
  ): Effect.Effect<Resource.Resource<ToolResources, ToolError>, ToolError> {
    return Resource.make(
      Effect.sync(() => this.createResources(args, context)),
      resources => Effect.sync(() => this.cleanupResources(resources))
    )
  }

  // Implementation to be provided by subclasses
  protected abstract executeImpl(
    args: unknown,
    resources: ToolResources,
    context: ToolContext
  ): Effect.Effect<ToolResult, ToolError>

  protected abstract createResources(args: unknown, context: ToolContext): ToolResources
  protected abstract cleanupResources(resources: ToolResources): void
  protected abstract isRecoverable(error: unknown): boolean
}

// Example: Database query tool
export class DatabaseQueryTool extends EffectTool {
  name = 'database_query'
  description = 'Execute SQL queries against the database'
  schema = Schema.Struct({
    query: Schema.String,
    parameters: Schema.optional(Schema.Array(Schema.Unknown))
  })

  protected executeImpl(
    args: { query: string; parameters?: unknown[] },
    resources: { connection: DatabaseConnection },
    context: ToolContext
  ): Effect.Effect<ToolResult, ToolError> {
    return Effect.gen(function* (_) {
      // Execute query with proper error handling
      const result = yield* _(
        Effect.tryPromise({
          try: () => resources.connection.query(args.query, args.parameters),
          catch: error => new ToolError({
            tool: this.name,
            args,
            cause: `Database error: ${error}`,
            recoverable: false
          })
        })
      )

      return { data: result, metadata: { rowCount: result.length } }
    })
  }

  protected createResources(args: unknown, context: ToolContext): ToolResources {
    return {
      connection: context.databaseService.getConnection()
    }
  }

  protected cleanupResources(resources: ToolResources): void {
    resources.connection.close()
  }

  protected isRecoverable(error: unknown): boolean {
    return error instanceof Error && error.message.includes('timeout')
  }
}
```

--------------------------------

### ADK TypeScript Project Build and Test Results

Source: https://github.com/waldzellai/adk-typescript/blob/main/RESULTS-AGENT-2.md

This snippet showcases the successful execution of build and test commands for the ADK TypeScript project, verifying dependency installation, clean compilation, Effect integration, error handling patterns, and end-to-end workflow performance.

```bash
✅ npm install effect @effect/platform @effect/schema
✅ npm run build - Clean compilation
✅ Effect integration test - 100% success
✅ Error handling demonstration - All patterns working
✅ Live workflow execution - 180ms end-to-end
```

--------------------------------

### Integrate and Run a RemoteAgent

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Illustrates how to define a RemoteAgent that communicates with an external endpoint and embed it as a sub-agent within a parent LlmAgent. The example then demonstrates running the root agent.

```typescript
import { RemoteAgent, LlmAgent } from '@waldzellai/adk-typescript';
import { Runner } from '@waldzellai/adk-typescript';

// Create a remote agent
const remoteAgent = new RemoteAgent({
  name: 'remote-agent',
  description: 'A remote agent',
  url: 'http://example.com/agent'
});

// Create a parent agent that uses the remote agent
const rootAgent = new LlmAgent({
  name: 'root-agent',
  description: 'A parent agent',
  model: 'gemini-1.5-pro',
  instruction: 'You are a helpful assistant.',
  subAgents: [remoteAgent]
});

// Create a runner
const runner = new Runner({
  appName: 'my-app',
  agent: rootAgent
});

// Run the agent
const userMessage = {
  role: 'user',
  parts: [{ text: 'Hello, agent!' }]
};

for await (const event of runner.runAsync('user-123', 'session-123', userMessage)) {
  console.log(`${event.author}: ${event.getContent()?.parts[0].text}`);
}
```

--------------------------------

### Initialize New ADK TypeScript Project

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/adk-typescript-end-state.md

This snippet demonstrates the foundational structure for starting a new project with the ADK TypeScript framework. It utilizes Effect patterns for managing dependencies and orchestrating an AI agent workflow, ensuring type safety, observability, and a robust architecture by injecting services like LLMService, ToolRegistry, and SessionService.

```typescript
// Start with Effect patterns from day one
const program = Effect.gen(function* () {
  const llm = yield* LLMService
  const tools = yield* ToolRegistry
  const session = yield* SessionService
  
  // Fully typed, fully safe, fully observable
  return yield* runAgentWorkflow({ llm, tools, session })
})
```

--------------------------------

### Install Effect.js Dependencies for TypeScript Project

Source: https://github.com/waldzellai/adk-typescript/blob/main/EFFECT_INTEGRATION_SYNTHESIS.md

This snippet provides the command to install the necessary Effect.js dependencies for the ADK TypeScript project, including core Effect, Schema, and Platform modules, enabling the use of functional programming patterns.

```bash
npm install effect @effect/schema @effect/platform
```

--------------------------------

### Claude Automation Engine TypeScript SDK Usage

Source: https://github.com/waldzellai/adk-typescript/blob/main/AUTOMATION.md

An example demonstrating how to programmatically interact with the Claude Automation Engine SDK in TypeScript. It shows how to initialize the engine and perform operations like analyzing code quality, generating new code, and fixing specific issues within specified files.

```typescript
import { ClaudeAutomationEngine } from './automation/claude-sdk-automation';

const engine = new ClaudeAutomationEngine();

// Analyze code quality
const analysis = await engine.analyzeCodeQuality(['src/models/base_llm.ts']);

// Generate code
const code = await engine.generateCode('Create a Redis cache service', 'src/cache/redis.ts');

// Fix specific issues
const fixes = await engine.fixIssues('Remove all any types', ['src/auth/auth_credential.ts']);
```

--------------------------------

### Local Development Workflow Commands

Source: https://github.com/waldzellai/adk-typescript/blob/main/AUTOMATION.md

A sequence of `npm` commands for setting up the development environment and executing various Claude automation tasks locally, including dependency installation, code analysis, type safety fixes, test generation, systematic improvements (Phase 2), verification, and full quality gate checks.

```bash
# Install dependencies
npm install

# Run Claude analysis
npm run claude:analyze

# Fix type safety issues
pm run claude:fix-any

# Generate missing tests
npm run claude:gen-tests

# Execute Phase 2 (systematic improvements)
npm run claude:phase2

# Verify with Claude
npm run verify:claude

# Full quality gate
npm run quality:gate
```

--------------------------------

### TypeScript: Effect.Stream for Composable Streaming

Source: https://github.com/waldzellai/adk-typescript/blob/main/HYBRID_EFFECT_RESULTS.md

This example demonstrates building robust, composable real-time data streams using Effect.Stream. It illustrates common streaming operations like mapping, buffering, retrying on failure, and taking elements until a condition is met, providing built-in backpressure and error recovery.

```TypeScript
const processAudioStream = (audioStream: Effect.Stream<AudioChunk, AudioError>) =>
  audioStream.pipe(
    Stream.mapEffect(chunk => transcribeAudio(chunk)),
    Stream.buffer(100),
    Stream.retry(Schedule.exponential(1000)),
    Stream.takeUntil(isComplete)
  );
```

--------------------------------

### APIDOC: Project Implementation Timeline

Source: https://github.com/waldzellai/adk-typescript/blob/main/CONSERVATIVE_EFFECT_RESULTS.md

This timeline outlines the four phases for integrating the 'Effect' library, from initial setup and infrastructure to low-risk and complex code replacements, concluding with documentation and testing. Each phase includes estimated effort and key tasks, providing a structured approach to the refactoring project.

```APIDOC
Phase 1: Setup and Infrastructure (2 hours)
- [ ] Install Effect dependencies
- [ ] Configure TypeScript for Effect integration
- [ ] Create shared schema definitions
- [ ] Set up basic Effect utilities

Phase 2: Low-Risk Replacements (4 hours)
- [ ] Replace type casting in `tool_context.ts`
- [ ] Update property mutations in `plan_re_act_planner.ts`
- [ ] Improve collections in `functions.ts`

Phase 3: Complex Replacements (4 hours)
- [ ] Agent property access in `basic.ts`
- [ ] State handling in `base_session_service.ts`
- [ ] Integration testing and validation

Phase 4: Documentation and Testing (2 hours)
- [ ] Update type documentation
- [ ] Add usage examples
- [ ] Create migration guide for future expansions

Total Estimated Effort: 12 hours
```

--------------------------------

### Guidelines for Writing New Type-Safe TypeScript Code

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/type-safety-completion.md

This snippet provides an example of defining strict interfaces for new code and using the Effect library for robust, type-safe asynchronous operations and error handling, ensuring all new development adheres to high safety standards.

```typescript
// Always start with proper types
interface AgentRequest {
  readonly prompt: string;
  readonly temperature?: Temperature;
  readonly tools?: ReadonlyArray<ToolReference>;
}

// Use Effect for safety
const processRequest = (request: AgentRequest): ADKEffect<AgentResponse> =>
  Effect.gen(function* () {
    const validated = yield* validateRequest(request);
    const agent = yield* AgentService;
    return yield* agent.process(validated);
  });
```

--------------------------------

### Replace `any` Type with Effect.js Patterns in TypeScript

Source: https://github.com/waldzellai/adk-typescript/blob/main/EFFECT_INTEGRATION_SYNTHESIS.md

This example demonstrates how to replace a problematic `any` type assertion for accessing an agent's canonical model with a safer, Effect.js-based pattern using `Effect.fromNullable` and `Effect.map`. This improves type safety and robustness by explicitly handling nullable values and type transformations.

```typescript
// Example: Replace agent property access\n// Before:\nconst model = (agent as any).canonicalModel\n\n// After: \nconst model = pipe(\n  Effect.fromNullable(agent.canonicalModel),\n  Effect.map(m => typeof m === 'string' ? m : m.model)\n)
```

--------------------------------

### TypeScript: Effect.Schema for Session State Type Safety

Source: https://github.com/waldzellai/adk-typescript/blob/main/HYBRID_EFFECT_RESULTS.md

This example illustrates how Effect.Schema can be used to enforce runtime type safety for session state operations. It contrasts a naive approach that uses 'any' types with an Effect-powered solution that validates input values against a defined schema, preventing runtime errors and improving data integrity.

```TypeScript
// Current problematic pattern
setStateValue(key: string, value: unknown): void {
  this.state[key] = value; // No validation
}
```

```TypeScript
// Effect-powered improvement
const SessionState = Schema.Record({
  key: Schema.String,
  value: Schema.Union(Schema.String, Schema.Number, Schema.Boolean, Schema.Unknown)
});

setStateValue<A>(
  key: string, 
  value: A, 
  schema: Schema.Schema<A>
): Effect.Effect<void, ValidationError, never> {
  return Effect.gen(function* () {
    const validatedValue = yield* Schema.decodeUnknown(schema)(value);
    this.state[key] = validatedValue;
    this.lastUpdateTime = Date.now();
  });
}
```

--------------------------------

### Create and Run a Basic LlmAgent with Google Gemini

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Demonstrates how to initialize an LlmAgent with a Gemini model and run it using the Runner, processing user messages asynchronously.

```typescript
import { LlmAgent, RunConfig } from '@waldzellai/adk-typescript';
import { Runner } from '@waldzellai/adk-typescript';

// Create an agent
const agent = new LlmAgent({
  name: 'my-agent',
  description: 'A helpful assistant',
  model: 'gemini-1.5-pro',
  instruction: 'You are a helpful assistant.'
});

// Create a runner
const runner = new Runner({
  appName: 'my-app',
  agent: agent
});

// Run the agent
const userMessage = {
  role: 'user',
  parts: [{ text: 'Hello, agent!' }]
};

for await (const event of runner.runAsync('user-123', 'session-123', userMessage)) {
  console.log(`${event.author}: ${event.getContent()?.parts[0].text}`);
}
```

--------------------------------

### ADK TypeScript API Reference

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Guidance on where to find detailed API documentation for the Google Agent Development Kit TypeScript implementation, specifically in the `dist` folder after building or by exploring the `src` directory.

```APIDOC
For detailed API documentation, please refer to the TypeScript definitions in the `dist` folder after building, or explore the source code in the `src` directory.
```

--------------------------------

### Configure LlmAgent with OpenAI Models

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Shows how to integrate OpenAI models like GPT-4 or o4-mini into an LlmAgent by creating an OpenAI model instance and passing it to the agent configuration. Includes running the agent with a user message.

```typescript
import { LlmAgent } from '@waldzellai/adk-typescript';
import { Runner } from '@waldzellai/adk-typescript';
import { OpenAI } from '@waldzellai/adk-typescript';

// Create an OpenAI model
const openaiModel = new OpenAI({
  model: 'o4-mini-high',
  apiKey: 'your-openai-api-key'
});

// Create an agent using the OpenAI model
const agent = new LlmAgent({
  name: 'openai-assistant',
  description: 'A helpful assistant powered by OpenAI',
  model: openaiModel,
  instruction: 'You are a helpful assistant that provides concise and accurate information.'
});

// Create a runner
const runner = new Runner({
  appName: 'openai-example',
  agent
});

// Run the agent
const userMessage = {
  role: 'user',
  parts: [{ text: 'Hello, agent!' }]
};

for await (const event of runner.runAsync('user-123', 'session-123', userMessage)) {
  console.log(`${event.author}: ${event.getContent()?.parts[0].text}`);
}
```

--------------------------------

### Migrating Session Management to Effect-based Dependency Provisioning

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet demonstrates how session creation shifts from direct service calls to an Effect-based approach where the SessionServiceLive dependency is explicitly provided using Effect.provide.

```typescript
// Current  
const session = sessionService.createSession(appName, userId, state)
```

```typescript
// Effect-based
const session = yield* _(
  sessionService.createSession(appName, userId, state),
  Effect.provide(SessionServiceLive)
)
```

--------------------------------

### Run Effect Utilities Sample

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Command to execute the optional Effect utilities sample included in the repository using ts-node.

```bash
npx ts-node examples/effect_example.ts
```

--------------------------------

### Implement Gemini LlmService using Effect.Layer for Content Generation

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet provides a concrete implementation of the `LlmService` for Gemini, demonstrating how to use `Effect.Layer` to provide the service. It includes logic for request validation, making API calls with retry and timeout policies, mapping errors to `LlmError`, and validating responses. It also shows how to handle streaming responses and manage resources using `Resource.make` for connections.

```typescript
export const GeminiLlmServiceLive = Layer.effect(
  LlmService,
  Effect.gen(function* (_) {
    const config = yield* _(GeminiConfig)
    
    const generateContent = (request: LlmRequest) =>
      Effect.gen(function* (_) {
        // Validate request
        const validRequest = yield* _(Schema.decodeUnknown(LlmRequestSchema)(request))
        
        // Make API call with retry and timeout
        const response = yield* _(
          makeGeminiApiCall(validRequest),
          Effect.retry({ times: 3, delay: '1 second' }),
          Effect.timeout('30 seconds'),
          Effect.catchAll(error => 
            Effect.fail(new LlmError({
              model: validRequest.model,
              cause: error.message,
              retryable: isRetryableError(error)
            }))
          )
        )
        
        // Validate response
        return yield* _(Schema.decodeUnknown(LlmResponseSchema)(response))
      })

    const generateContentStream = (request: LlmRequest) =>
      Effect.stream.fromAsyncIterable(
        makeGeminiStreamingCall(request),
        error => new LlmError({
          model: request.model || 'unknown',
          cause: error.message,
          retryable: false
        })
      )

    const connect = (request: LlmRequest) =>
      Resource.make(
        Effect.gen(function* (_) {
          const connection = yield* _(establishGeminiConnection(request))
          return connection
        }),
        connection => Effect.sync(() => connection.close())
      )

    return {
      generateContent,
      generateContentStream,
      connect
    }
  })
)
```

--------------------------------

### Execute Build, Lint, and Test Commands for TypeScript Project

Source: https://github.com/waldzellai/adk-typescript/blob/main/CLAUDE.md

Provides standard npm commands for building, linting, and running tests in a TypeScript project. Includes a specific command for executing a single test file using Jest.

```Shell
npm run build
npm run lint
npm test
npx jest tests/path/to/test.test.ts
```

--------------------------------

### Manage Tool Execution with Effect Resources

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Illustrates resource-managed tool execution using Effect's `Resource.make`. This pattern ensures proper initialization and cleanup of tool instances, preventing resource leaks and simplifying complex workflows.

```typescript
import { Effect, Resource } from "effect"

// Resource-managed tool execution
const executeToolWithCleanup = (tool: Tool, input: ToolInput) =>
  Effect.gen(function* () {
    const resource = yield* Resource.make(
      Effect.sync(() => tool.initialize()),
      (instance) => Effect.sync(() => instance.cleanup())
    )
    
    const result = yield* Effect.tryPromise({
      try: () => resource.execute(input),
      catch: (error) => new ToolExecutionError({ cause: error })
    })
    
    return result
  })
```

--------------------------------

### Run ADK TypeScript Tests

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Command to execute unit tests for the ADK TypeScript project.

```bash
npm test
```

--------------------------------

### Composing Service Layers with Effect.Layer for Dependency Injection

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet illustrates how to compose multiple service layers using Layer.mergeAll and provide them to an Effect program using Effect.provide during application bootstrap, enabling structured dependency injection.

```typescript
// Service layer composition
const AppLive = Layer.mergeAll(
  GeminiLlmServiceLive,
  DatabaseToolServiceLive,
  SessionServiceLive,
  MetricsServiceLive
)

// Application bootstrap
const program = Effect.gen(function* (_) {
  const agent = yield* _(createAgent(config))
  const result = yield* _(agent.runAsync(context))
  return result
})

Effect.runPromise(program.pipe(Effect.provide(AppLive)))
```

--------------------------------

### Migrating Agent Constructor to Effect-based Configuration

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet illustrates the change in the agent constructor from a direct instantiation to an Effect-based approach using Effect.gen and Schema.decodeUnknown for configuration validation and instantiation.

```typescript
// Current
new LlmAgent({
  name: 'myAgent',
  model: 'gemini-1.5-pro',
  instruction: 'You are a helpful assistant'
})
```

```typescript
// Effect-based
Effect.gen(function* (_) {
  const config = yield* _(Schema.decodeUnknown(AgentConfigSchema)({
    name: 'myAgent',
    model: 'gemini-1.5-pro', 
    instruction: 'You are a helpful assistant'
  }))
  
  return new EffectAgent(config)
})
```

--------------------------------

### Implement Live Streaming Agent Execution with Backpressure

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

The `runLive` method provides a mechanism for real-time, bidirectional streaming with the LLM service, incorporating backpressure. It creates a bounded queue to manage event flow, ensuring that the system can handle high-throughput scenarios without being overwhelmed, and returns a stream from this controlled queue.

```typescript
  runLive(context: InvocationContext): Effect.Effect<Stream.Stream<Event, AdkError>, AdkError> {
    return Effect.gen(function* (_) {
      // Create bounded queue for backpressure
      const eventQueue = yield* _(Queue.bounded<Event>(100))
      
      // Setup bidirectional streaming
      const liveConnection = yield* _(
        this.llmService.connect(context.llmRequest),
        Resource.use(connection => 
          setupBidirectionalStreaming(connection, eventQueue)
        )
      )
      
      // Return bounded stream
      return Stream.fromQueue(eventQueue)
    })
  }
```

--------------------------------

### Migrating Tool Execution to Effect-based Pipelines

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet shows the transition from promise-based asynchronous tool execution to an Effect-based pipeline using tool.execute, Effect.match for success/failure handling, and Effect.runPromise.

```typescript
// Current
tool.runAsync(args, context).then(result => {
  // handle result
}).catch(error => {
  // handle error
})
```

```typescript
// Effect-based
tool.execute(args, context).pipe(
  Effect.match({
    onFailure: error => handleToolError(error),
    onSuccess: result => handleToolResult(result)
  }),
  Effect.runPromise
)
```

--------------------------------

### Agent Execution: Before Effect Migration

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This code snippet demonstrates the legacy implementation of the `LlmAgent` before its migration to the 'Effect' system. It extends `BaseAgent` and uses an `AsyncGenerator` to handle asynchronous execution, logging, and yielding `Event` objects based on user content. This pattern represents the existing, pre-transformation agent execution logic.

```typescript
export class LlmAgent extends BaseAgent {
  protected override async *runAsyncImpl(
    context: InvocationContext
  ): AsyncGenerator<Event, void, unknown> {
    console.log(`Running LLM agent: ${this.name}`);

    if (context.userContent) {
      const content: GenAiContent = {
        role: this.name,
        parts: [
          { text: `Echo from ${this.name}: ${context.userContent?.parts?.[0]?.text || ''}` }
        ]
      };

      const event = new Event({
        id: Event.newId(),
        invocationId: context.invocationId,
        author: this.name,
        branch: context.branch,
        content: content,
        actions: new EventActions()
      });

      yield event;
    }
  }
}
```

--------------------------------

### Automating Resource Management with Effect.Resource

Source: https://github.com/waldzellai/adk-typescript/blob/main/HYBRID_EFFECT_RESULTS.md

Demonstrates how to transition from manual, error-prone resource cleanup using `finally` blocks to automatic, guaranteed resource management with Effect.Resource, preventing leaks and simplifying code.

```typescript
async runTool(args: unknown): Promise<unknown> {
  const db = await this.connectToDatabase();
  const cache = await this.setupCache();
  const api = await this.createApiClient();
  
  try {
    const result = await this.process(db, cache, api, args);
    return result;
  } finally {
    // Resource cleanup - may not happen on error
    await db.close();
    await cache.disconnect();
    await api.destroy();
  }
}
```

```typescript
const runTool = (args: ToolArgs): Effect.Effect<ToolResult, ToolError, never> =>
  Effect.scoped(
    Effect.gen(function* () {
      const db = yield* DatabaseResource;
      const cache = yield* CacheResource;
      const api = yield* ApiClientResource;
      const validatedArgs = yield* ToolArgs.validate(args);
      
      return yield* processWithResources(db, cache, api, validatedArgs);
    })
  ); // Automatic cleanup guaranteed
```

--------------------------------

### ADK TypeScript Migration Strategy for Existing Users

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/adk-typescript-end-state.md

Illustrates the migration path for existing users, ensuring backward compatibility while offering an opt-in approach for Effect.ts enhancements. The snippet shows how traditional agent usage remains functional and how developers can progressively adopt Effect-based patterns for advanced features and improved reliability.

```typescript
// Existing code continues to work
const agent = new LlmAgent({ model: 'gpt-4' })
const result = await agent.run(request)

// Opt-in to Effect enhancements
const safeAgent = Effect.gen(function* () {
  const agent = yield* AgentService
  return yield* agent.run(request)
})
```

--------------------------------

### Effect-Based Testing with Mock Services

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Demonstrates how to write Effect-based tests using `TestServices.make` for mocking dependencies. This pattern allows for isolated and predictable testing of agent execution by injecting mock services.

```typescript
import { Effect, TestServices } from "effect"

// Effect-based testing
const testAgentExecution = Effect.gen(function* () {
  const agent = yield* TestServices.make(AgentService, MockAgentService)
  const result = yield* agent.process(testRequest)
  expect(result).toEqual(expectedResult)
})
```

--------------------------------

### Placeholder for OpenAI LlmService Implementation with Effect.Layer

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet shows a placeholder for the OpenAI implementation of the `LlmService`. It indicates that a similar structure and pattern, leveraging `Effect.Layer` and `Effect.gen`, would be used to provide the OpenAI LLM service, ensuring consistency in the service layer architecture.

```typescript
export const OpenAiLlmServiceLive = Layer.effect(
  LlmService,
  Effect.gen(function* (_) {
    // Similar implementation for OpenAI
    // ...
  })
)
```

--------------------------------

### Claude SDK Environment Variables

Source: https://github.com/waldzellai/adk-typescript/blob/main/AUTOMATION.md

Configuration for environment variables required for the Claude SDK automation, including the mandatory `CLAUDE_API_KEY` and optional settings like `CLAUDE_MAX_TURNS` and `CLAUDE_OUTPUT_FORMAT`.

```bash
# Required for SDK automation
CLAUDE_API_KEY=your_api_key_here

# Optional: Custom configuration
CLAUDE_MAX_TURNS=3
CLAUDE_OUTPUT_FORMAT=json
```

--------------------------------

### TypeScript Project Structure Overview

Source: https://github.com/waldzellai/adk-typescript/blob/main/CLAUDE.md

Describes the architectural principles of the ADK (Agent Development Kit) TypeScript implementation, emphasizing modularity and adherence to existing patterns.

```APIDOC
ADK (Agent Development Kit) TypeScript implementation
Modular organization with focused components (agents, tools, models, etc.)
Follow existing patterns when adding new code
```

--------------------------------

### ADK-TypeScript Project Structure

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Outlines the recommended code organization for the ADK-TypeScript project, emphasizing the use of Effect utilities, schemas, errors, services, and specific directories for LLM flows, agents, and session management.

```APIDOC
src/google/adk/
├── effect/                    # Effect utilities and patterns
│   ├── schemas/              # Schema definitions
│   ├── errors/               # Custom error types
│   ├── services/             # Service layer definitions
│   └── utils/                # Effect helper functions
├── flows/llm_flows/          # Enhanced with Effect patterns
├── agents/                   # Agent orchestration with Effect
└── sessions/                 # Session management with DI
```

--------------------------------

### Initialize EffectAgent for AI Agent Operations

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

Defines the `EffectAgent` class, which orchestrates AI agent operations. Its constructor injects essential services like LLM, tool, and session services, along with an agent configuration, setting up the foundational dependencies for agent execution.

```typescript
import { Effect, Fiber, Queue, Stream } from 'effect'

export class EffectAgent {
  constructor(
    private config: AgentConfig,
    private llmService: LlmService,
    private toolService: ToolService,
    private sessionService: SessionService
  ) {}
}
```

--------------------------------

### Claude Automation System Core Commands

Source: https://github.com/waldzellai/adk-typescript/blob/main/AUTOMATION.md

Essential `npm` commands to interact with the Claude Code automation system, enabling AI-powered code analysis, automated type safety fixes, comprehensive test generation, and integrated quality gate checks for TypeScript projects.

```bash
npm run claude:analyze
npm run claude:fix-any
npm run claude:gen-tests
npm run quality:gate
```

--------------------------------

### Core Pipeline Components for Agent Execution

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

These functions define the modular steps within the agent's execution pipeline. `validateInvocationContext` ensures input validity, `setupExecutionEnvironment` prepares necessary services and metrics, and `executeAgentPipeline` processes events, records metrics, handles errors, and ensures resource cleanup, forming a robust and observable workflow.

```typescript
const validateInvocationContext = (context: InvocationContext) =>
  Schema.decodeUnknown(InvocationContextSchema)(context).pipe(
    Effect.mapError(error => new ValidationError({
      field: 'invocationContext',
      value: context,
      expected: 'valid InvocationContext'
    }))
  )

const setupExecutionEnvironment = (context: ValidInvocationContext) =>
  Effect.gen(function* (_) {
    const llmService = yield* _(LlmService)
    const toolService = yield* _(ToolService)
    const sessionService = yield* _(SessionService)
    
    return {
      context,
      llmService,
      toolService,
      sessionService,
      metrics: yield* _(createMetrics(context.agent.name))
    }
  })

const executeAgentPipeline = (
  eventStream: Stream.Stream<Event, AdkError>,
  env: ExecutionEnvironment
) =>
  eventStream.pipe(
    Stream.mapEffect(event => processEvent(event, env)),
    Stream.tap(event => recordMetrics(event, env.metrics)),
    Stream.catchAll(error => Stream.make(createErrorEvent(error))),
    Stream.ensuring(cleanupResources(env))
  )
```

--------------------------------

### Effect.ts: Simple LLM, Tool, and Session Effects Implementation (`simple-effects.ts`)

Source: https://github.com/waldzellai/adk-typescript/blob/main/RESULTS-AGENT-2.md

Provides a functional implementation of core Effect.ts patterns for LLM content generation, tool execution, and session state updates. It demonstrates `Effect.gen` for controlled asynchronous flows, `Effect.retry` for resilience, and `Effect.forEach` for safe parallel operations, ensuring resource safety and predictable behavior.

```typescript
// Working implementation that compiles and runs
export const SimpleLlmEffects = {
  generateContent: (request) => Effect.gen(function* () {
    // Validation + simulation + error handling
  }),
  validateRequest: (request) => Effect.gen(function* () {
    // Request validation with typed errors
  }),
  withRetry: (effect, maxRetries) => Effect.retry(effect, { times: maxRetries })
};

export const SimpleToolEffects = {
  executeTool: (toolName, args) => Effect.gen(function* () {
    // Tool execution with timeout and error handling
  }),
  executeParallel: (tools) => Effect.forEach(tools, ..., { concurrency: 3 })
};

export const SimpleSessionEffects = {
  updateState: (sessionId, stateDelta) => Effect.gen(function* () {
    // Atomic state updates with validation
  })
};
```

--------------------------------

### Managing Sessions with Abstract Base Class (Before)

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet illustrates the `BaseSessionService` abstract class, which defines the fundamental operations for session management. It includes methods for creating sessions and appending events, demonstrating a traditional approach to state and event handling.

```typescript
export abstract class BaseSessionService {
  abstract createSession(
    appName: string,
    userId: string,
    state?: Record<string, any>,
    sessionId?: string
  ): Session;
  
  appendEvent(session: Session, event: Event): Event {
    if (event.isPartial()) {
      return event;
    }
    
    this.updateSessionState(session, event);
    session.events.push(event);
    
    return event;
  }
}
```

--------------------------------

### Execute Agent Pipeline Asynchronously with Effect

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

The `runAsync` method initiates a single agent execution pipeline. It validates the invocation context, sets up the execution environment, creates an event stream, and then executes the agent pipeline. The pipeline runs in a background fiber (`Effect.fork`) to allow for non-blocking stream consumption.

```typescript
  runAsync(context: InvocationContext): Effect.Effect<Stream.Stream<Event, AdkError>, AdkError> {
    return Effect.gen(function* (_) {
      // Validate context
      const validContext = yield* _(validateInvocationContext(context))
      
      // Setup execution environment
      const executionEnv = yield* _(setupExecutionEnvironment(validContext))
      
      // Create event stream
      const eventStream = yield* _(createEventStream(executionEnv))
      
      // Execute agent pipeline
      return yield* _(
        executeAgentPipeline(eventStream, executionEnv),
        Effect.fork, // Run in background fiber
        Effect.map(fiber => Stream.fromQueue(fiber.unsafeQueue()))
      )
    })
  }
```

--------------------------------

### Define LlmService Interface and Tag with Effect.Context

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet defines the `LlmService` interface, outlining methods for generating content (synchronously and via stream) and establishing connections. It uses `Effect.Effect` for operations that return a single value and `Effect.Stream` for streaming responses, ensuring type safety and error handling with `LlmError`. The `Context.GenericTag` is used to make the service injectable.

```typescript
// src/services/llm.ts
import { Effect, Layer, Context, Resource } from 'effect'
import { LlmError } from '../errors'

export interface LlmService {
  generateContent: (request: LlmRequest) => Effect.Effect<LlmResponse, LlmError>
  generateContentStream: (request: LlmRequest) => Effect.Stream<LlmResponse, LlmError>
  connect: (request: LlmRequest) => Effect.Effect<LlmConnection, LlmError>
}

export const LlmService = Context.GenericTag<LlmService>('LlmService')
```

--------------------------------

### Type-Safe Function Call Parameters and Tool Access with Effect (TypeScript)

Source: https://github.com/waldzellai/adk-typescript/blob/main/RESULTS-AGENT-1.md

Illustrates the replacement of `any[]` and `Record<string, any>` with `FunctionCallPart[]` and `Record<string, unknown>` for function call parameters and tool dictionaries. It also shows safe tool property access using `hasProperty` and `safePropertyAccess` with Effect patterns for robust validation.

```typescript
// Before: functionCalls: any[], toolsDict: Record<string, any>
// After: functionCalls: FunctionCallPart[], toolsDict: Record<string, unknown>

// Safe tool access with Effect patterns
for (const functionCallPart of functionCalls) {
  if (!functionCallPart.functionCall) continue;
  const tool = toolsDict[toolName];
  if (isObject(tool)) {
    const hasIsLongRunning = yield* hasProperty(tool, 'isLongRunning');
    if (hasIsLongRunning) {
      const isLongRunning = yield* safePropertyAccess(tool, 'isLongRunning');
      if (isLongRunning === true) {
        longRunningToolIds.push(toolId);
      }
    }
  }
}
```

--------------------------------

### TypeScript: Effect-powered Tool Resource Management

Source: https://github.com/waldzellai/adk-typescript/blob/main/HYBRID_EFFECT_RESULTS.md

This snippet demonstrates how to transition from a problematic asynchronous pattern with potential resource leaks to a robust, Effect-powered solution. It highlights the use of Effect.Resource and Effect.scoped to guarantee resource cleanup, even in the presence of errors, ensuring reliable tool execution.

```TypeScript
// Current problematic pattern
async runAsync(args: Record<string, unknown>): Promise<unknown> {
  const connection = await this.createConnection();
  try {
    return await this.executeWithConnection(connection, args);
  } finally {
    connection.close(); // May not execute on error
  }
}
```

```TypeScript
// Effect-powered improvement
runAsync(args: ToolArgs): Effect.Effect<ToolResult, ToolError, never> {
  return Effect.gen(function* () {
    const validatedArgs = yield* ToolArgs.validate(args);
    return yield* Effect.scoped(
      Effect.gen(function* () {
        const connection = yield* createManagedConnection();
        return yield* executeWithConnection(connection, validatedArgs);
      })
    );
  });
}
```

--------------------------------

### Coordinate Multi-Agent Systems with Effect.PubSub

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Illustrates a pattern for multi-agent coordination in distributed systems using Effect's `PubSub`. It sets up a bounded PubSub channel for `AgentEvent`s, enabling agents to communicate and synchronize their activities.

```typescript
import { Effect, Layer, PubSub } from "effect"

// Multi-agent coordination
const CoordinationService = Layer.scoped(
  Effect.gen(function* () {
    const pubsub = yield* PubSub.bounded<AgentEvent>(100)
    const coordination = new AgentCoordination(pubsub)
    return coordination
  })
)
```

--------------------------------

### Run Type Coverage Report

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/type-safety-completion.md

Command to generate a type coverage report, expected to show 100% type safety with zero 'any' types after migration.

```bash
npm run type-coverage
# Should show: 100% - 0 any types
```

--------------------------------

### Implement Session State Management with Effect Layer and DI

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/effect-hybrid-strategy.md

Shows how to implement session state management using Effect's `Layer` for dependency injection. It defines a `SessionService` tag and a `SessionServiceLive` layer, enabling modular and testable session handling.

```typescript
import { Effect, Layer, Context } from "effect"

// Dependency injection for session services
class SessionService extends Context.Tag("SessionService")<
  SessionService,
  {
    readonly createSession: (appName: string, userId: string) => Effect.Effect<Session>
    readonly getSession: (id: string) => Effect.Effect<Session, SessionNotFoundError>
    readonly updateSession: (id: string, state: SessionState) => Effect.Effect<void>
  }
>() {}

const SessionServiceLive = Layer.succeed(
  SessionService,
  SessionService.of({
    createSession: (appName, userId) => 
      Effect.sync(() => new Session({ appName, userId, id: generateId() })),
    // ... other implementations
  })
)
```

--------------------------------

### Lint ADK TypeScript Code

Source: https://github.com/waldzellai/adk-typescript/blob/main/README.md

Commands to run linting checks and automatically fix linting issues in the ADK TypeScript project.

```bash
npm run lint
npm run lint:fix
```

--------------------------------

### Refactoring LLM Integration for Robust Error Handling

Source: https://github.com/waldzellai/adk-typescript/blob/main/HYBRID_EFFECT_RESULTS.md

Illustrates the transformation of a fragile LLM integration with inconsistent try/catch error handling into a structured, composable solution using Effect for comprehensive error management, retries, and context preservation.

```typescript
// 50+ lines of try/catch with inconsistent error handling
async generateContent(request: LlmRequest): Promise<LlmResponse> {
  try {
    const response = await this.client.create(params);
    return this.transform(response);
  } catch (error) {
    if (error.status === 429) {
      // Rate limit - retry?
    } else if (error.status === 500) {
      // Server error - retry?
    }
    throw error; // Lost context
  }
}
```

```typescript
// 15 lines with comprehensive error handling
const generateContent = (request: LlmRequest): Effect.Effect<LlmResponse, LlmError, never> =>
  Effect.gen(function* () {
    const params = yield* validateAndTransformRequest(request);
    const response = yield* callLlmWithRetry(params);
    return yield* transformResponse(response);
  });

const callLlmWithRetry = (params: LlmParams) =>
  Effect.retry(
    callLlmAPI(params),
    Schedule.exponential(1000) |> Schedule.maxRetries(3)
  ).pipe(
    Effect.catchTag("RateLimitError", () => Effect.sleep(5000).pipe(Effect.andThen(callLlmAPI(params)))),
    Effect.catchTag("ServerError", error => Effect.fail(LlmError.ServerError(error)))
  );
```

--------------------------------

### TypeScript: Effect-based Session State Validation and Creation

Source: https://github.com/waldzellai/adk-typescript/blob/main/CONSERVATIVE_EFFECT_RESULTS.md

This solution demonstrates refactoring the `createSession` method using the 'Effect' library. It defines a `SessionStateSchema` for runtime validation, updates the method signature to return `Effect.Effect<Session, Error>`, and includes an implementation that validates the `state` parameter using `Schema.decodeUnknown` before proceeding with session creation, ensuring type safety and explicit error propagation.

```typescript
import { Effect, Schema } from 'effect'

// Define state schema
const SessionStateSchema = Schema.Record(Schema.String, Schema.Unknown)
type SessionState = Schema.Schema.Type<typeof SessionStateSchema>

// Updated method signature
abstract createSession(
  appName: string,
  userId: string,
  state?: SessionState,
  sessionId?: string
): Effect.Effect<Session, Error>

// Implementation with validation
createSession(
  appName: string,
  userId: string,
  state?: SessionState,
  sessionId?: string
): Effect.Effect<Session, Error> {
  return Effect.gen(function* (_) {
    if (state) {
      yield* _(Schema.decodeUnknown(SessionStateSchema)(state))
    }
    // Continue with session creation logic
    return new Session({ appName, userId, state: state || {}, id: sessionId })
  })
}
```

--------------------------------

### Executing Tools with Effect-based Validation and Timeout (After)

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This snippet presents the `EffectFunctionTool` class, demonstrating the use of Effect for advanced tool execution. It includes argument validation against a schema, execution with a timeout, and structured tapping for success and error metrics, providing robust error recovery.

```typescript
export class EffectFunctionTool extends EffectTool {
  execute(
    args: unknown,
    context: ToolContext
  ): Effect.Effect<ToolResult, ToolError> {
    return Effect.gen(function* (_) {
      // Validate arguments against schema
      const validArgs = yield* _(
        Schema.decodeUnknown(this.schema)(args),
        Effect.mapError(error => new ToolError({
          tool: this.name,
          args: args as Record<string, unknown>,
          cause: `Invalid arguments: ${error.message}`,
          recoverable: true
        }))
      )

      // Execute with timeout and resource management
      const result = yield* _(
        Effect.tryPromise({
          try: () => this.func(validArgs, context),
          catch: error => new ToolError({
            tool: this.name,
            args: validArgs as Record<string, unknown>,
            cause: error instanceof Error ? error.message : String(error),
            recoverable: this.isRetryable(error)
          })
        }),
        Effect.timeout(Duration.seconds(30)),
        Effect.tap(result => recordToolMetric(this.name, 'success')),
        Effect.tapError(error => recordToolMetric(this.name, 'error'))
      )

      return result
    })
  }
}
```

--------------------------------

### ADK TypeScript Layer Structure Overview

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/adk-typescript-end-state.md

Visual representation of the ADK TypeScript project's three-layer architecture: Application, Service, and Infrastructure. It details the functional components within each layer, such as Agents and Tools in the Application layer, Effect-enhanced services like LLMService, and foundational elements like Effect Runtime Configuration in the Infrastructure layer.

```text
Application Layer
├── Agents (Effect-enhanced LLM orchestration)
├── Tools (Resource-managed execution)
└── Sessions (Atomic state management)

Service Layer (Effect Services)
├── LLMService (Error handling, retries, streaming)
├── ToolService (Parallel execution, cleanup)
├── SessionService (State consistency, persistence)
└── TelemetryService (Metrics, tracing, monitoring)

Infrastructure Layer
├── Effect Runtime Configuration
├── Error Recovery Strategies
└── Resource Pool Management
```

--------------------------------

### Effect-based Session Service Implementation in TypeScript

Source: https://github.com/waldzellai/adk-typescript/blob/main/COMPREHENSIVE_EFFECT_RESULTS.md

This TypeScript class, `EffectSessionService`, demonstrates concurrent-safe session management using the Effect and STM (Software Transactional Memory) libraries. It includes methods for creating new sessions and atomically appending events to existing ones, ensuring data consistency and robust error handling within an Effect-based functional paradigm.

```typescript
export class EffectSessionService {
  createSession(
    appName: string,
    userId: string,
    initialState?: SessionState,
    sessionId?: string
  ): Effect.Effect<Session, SessionError> {
    return Effect.gen(function* (_) {
      // Validate inputs
      const id = sessionId || (yield* _(generateSessionId()))
      const state = initialState 
        ? yield* _(Schema.decodeUnknown(SessionStateSchema)(initialState))
        : {}

      // Create session atomically
      const session = {
        id,
        appName,
        userId,
        state,
        events: [],
        createdAt: new Date(),
        updatedAt: new Date()
      }

      // Store in concurrent-safe manner
      yield* _(
        STM.commit(
          STM.gen(function* (_) {
            const sessions = yield* _(STM.fromRef(this.sessions))
            yield* _(STM.fromRef(Ref.set(this.sessions, 
              sessions.set(id, session)
            )))
          })
        )
      )

      yield* _(recordSessionMetric('created'))
      return session
    })
  }

  appendEvent(
    sessionId: string,
    event: Event
  ): Effect.Effect<void, SessionError> {
    return STM.commit(
      STM.gen(function* (_) {
        // Validate event
        const validEvent = yield* _(
          STM.fromEffect(Schema.decodeUnknown(EventSchema)(event))
        )
        
        // Atomic update
        const sessions = yield* _(STM.fromRef(this.sessions))
        const session = sessions.get(sessionId)
        
        if (!session) {
          return yield* _(STM.fail(new SessionError({
            sessionId,
            operation: 'appendEvent',
            cause: 'Session not found'
          })))
        }

        const updatedSession = {
          ...session,
          events: [...session.events, validEvent],
          updatedAt: new Date()
        }

        yield* _(STM.fromRef(Ref.set(this.sessions,
          sessions.set(sessionId, updatedSession)
        )))
      })
    )
  }
}
```

--------------------------------

### Safe Property Access with Effect

Source: https://github.com/waldzellai/adk-typescript/blob/main/RESULTS-AGENT-1.md

Demonstrates how to safely access properties on an object using an Effect pattern, ensuring type safety and handling potential null/undefined values.

```typescript
const value = yield* safePropertyAccess(obj, 'property');
```

--------------------------------

### List of Remaining 'any' Types by Module

Source: https://github.com/waldzellai/adk-typescript/blob/main/specs/type-safety-completion.md

Lists the number of 'any' type instances remaining in different modules of the ADK TypeScript codebase, highlighting areas requiring type safety improvements.

```text
auth_credential.ts      13 instances
code_executor_context.ts 5 instances  
Effect modules          48 instances
CLI utils                6 instances
Other modules           14 instances
```