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  "interval": {
    "intervalStart": "2025-08-07T00:00:00.000Z",
    "intervalEnd": "2025-08-08T00:00:00.000Z",
    "intervalType": "day"
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  "repository": "elizaos/eliza",
  "overview": "From 2025-08-07 to 2025-08-08, elizaos/eliza had 8 new PRs (3 merged), 5 new issues, and 10 active contributors.",
  "topIssues": [
    {
      "id": "I_kwDOMT5cIs7Engk3",
      "title": "feat(scenarios): Implement conditional mocking and complex response structures",
      "author": "monilpat",
      "number": 5726,
      "repository": "elizaos/eliza",
      "body": "# feat(scenarios): Implement conditional mocking and complex response structures\n\n## Description\n\nThis ticket enhances the mocking system to support conditional responses based on input parameters and complex response structures with metadata. This enables realistic testing of service interactions like GitHub API calls or EVM transactions with proper request/response matching.\n\n## Acceptance Criteria\n\n1. Mock definitions support `when` clauses for conditional responses\n2. `when` clauses can match on method arguments, input parameters, or request context\n3. Mock responses support complex nested structures with metadata (timestamps, IDs, etc.)\n4. Multiple mock responses can be defined for the same service/method with different conditions\n5. Mock system provides clear logging of which mock was triggered and why\n6. Mock responses can include realistic error conditions and edge cases\n7. Support for dynamic response generation based on input parameters\n8. Mock validation ensures `when` clauses are syntactically correct\n\n## Technical Approach\n\n### 1. Enhanced Mock Schema\n```typescript\n// packages/cli/src/scenarios/schema.ts\nconst MockSchema = z.object({\n  service: z.string(),\n  method: z.string(),\n  when: z.object({\n    // Match on method arguments\n    args: z.array(z.any()).optional(),\n    // Match on specific argument values\n    input: z.record(z.any()).optional(),\n    // Match on request context\n    context: z.record(z.any()).optional(),\n    // Custom matching function\n    matcher: z.string().optional(), // JavaScript expression\n  }).optional(),\n  response: z.any(), // Can be function or static value\n  // For dynamic responses\n  responseFn: z.string().optional(), // JavaScript function\n  // Error simulation\n  error: z.object({\n    code: z.string(),\n    message: z.string(),\n  }).optional(),\n});\n```\n\n### 2. Mock Engine Implementation\n```typescript\n// packages/cli/src/scenarios/mock-engine.ts\nexport class MockEngine {\n  private mocks: MockDefinition[] = [];\n\n  addMock(mock: MockDefinition) {\n    this.mocks.push(mock);\n  }\n\n  async findMock(service: string, method: string, args: any[]): Promise<any> {\n    const candidates = this.mocks.filter(m => \n      m.service === service && m.method === method\n    );\n\n    for (const mock of candidates) {\n      if (await this.matchesCondition(mock, args)) {\n        this.logger.info(`Mock triggered: ${service}.${method} with condition: ${JSON.stringify(mock.when)}`);\n        return this.generateResponse(mock, args);\n      }\n    }\n\n    return null; // No mock found\n  }\n\n  private async matchesCondition(mock: MockDefinition, args: any[]): Promise<boolean> {\n    if (!mock.when) return true; // Default mock\n\n    // Match on arguments\n    if (mock.when.args) {\n      if (!this.deepEqual(args, mock.when.args)) return false;\n    }\n\n    // Match on input parameters\n    if (mock.when.input) {\n      const input = this.extractInputFromArgs(args);\n      if (!this.deepEqual(input, mock.when.input)) return false;\n    }\n\n    // Custom matcher function\n    if (mock.when.matcher) {\n      const matcherFn = new Function('args', 'input', mock.when.matcher);\n      return matcherFn(args, this.extractInputFromArgs(args));\n    }\n\n    return true;\n  }\n\n  private generateResponse(mock: MockDefinition, args: any[]): any {\n    if (mock.error) {\n      throw new Error(`${mock.error.code}: ${mock.error.message}`);\n    }\n\n    if (mock.responseFn) {\n      const responseFn = new Function('args', 'input', mock.responseFn);\n      return responseFn(args, this.extractInputFromArgs(args));\n    }\n\n    return mock.response;\n  }\n}\n```\n\n## Test Scenario\n\nCreate `advanced-mocking-test.scenario.yaml`:\n```yaml\nname: \"Advanced Mocking Test\"\ndescription: \"Tests conditional mocking and complex response structures\"\n\nplugins:\n  - \"@elizaos/plugin-github\"\n  - \"@elizaos/plugin-evm\"\n\nenvironment:\n  type: e2b\n\nsetup:\n  mocks:\n    # Conditional GitHub issue search\n    - service: \"github-service\"\n      method: \"searchIssues\"\n      when:\n        input:\n          labels: \"bug\"\n        matcher: \"input.labels.includes('bug')\"\n      response:\n        - title: \"Critical Bug Found\"\n          number: 456\n          state: \"open\"\n          labels: [\"bug\", \"critical\"]\n          created_at: \"2024-07-15T10:00:00Z\"\n\n    # Conditional GitHub issue search - different response\n    - service: \"github-service\"\n      method: \"searchIssues\"\n      when:\n        input:\n          labels: \"feature\"\n        matcher: \"input.labels.includes('feature')\"\n      response:\n        - title: \"New Feature Request\"\n          number: 789\n          state: \"open\"\n          labels: [\"feature\", \"enhancement\"]\n          created_at: \"2024-07-15T11:00:00Z\"\n\n    # Dynamic EVM balance response\n    - service: \"evm-service\"\n      method: \"getBalancesForAddress\"\n      when:\n        args: [\"0x1234567890abcdef\"]\n      responseFn: |\n        return {\n          chain: \"ethereum\",\n          address: args[0],\n          balances: [\n            { symbol: \"ETH\", amount: \"1.23\" },\n            { symbol: \"USDC\", amount: \"1000.00\" }\n          ],\n          last_updated: new Date().toISOString()\n        }\n\n    # Error simulation\n    - service: \"github-service\"\n      method: \"readFile\"\n      when:\n        input:\n          path: \"/docs/nonexistent.md\"\n      error:\n        code: \"FILE_NOT_FOUND\"\n        message: \"File does not exist\"\n\nrun:\n  - name: \"Test conditional GitHub search\"\n    input: \"Search for issues with bug label\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"github-service.searchIssues\"\n      - type: \"string_contains\"\n        value: \"Critical Bug Found\"\n      - type: \"llm_judge\"\n        prompt: \"Did the agent correctly search for bug issues?\"\n        expected: \"yes\"\n\n  - name: \"Test dynamic EVM response\"\n    input: \"What's the balance for address 0x1234567890abcdef?\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"evm-service.getBalancesForAddress\"\n      - type: \"string_contains\"\n        value: \"1.23 ETH\"\n      - type: \"string_contains\"\n        value: \"1000.00 USDC\"\n\n  - name: \"Test error handling\"\n    input: \"Read the file /docs/nonexistent.md\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"github-service.readFile\"\n      - type: \"string_contains\"\n        value: \"File does not exist\"\n\njudgment:\n  strategy: all_pass\n```\n\n## Testing Strategy\n\n1. **Conditional Matching**: Test different responses based on input parameters\n2. **Dynamic Responses**: Test response generation based on arguments\n3. **Error Simulation**: Test error handling and reporting\n4. **Complex Structures**: Test nested response objects with metadata\n5. **Multiple Mocks**: Test multiple mocks for same service/method\n6. **Logging**: Verify mock selection is logged clearly\n\n## Dependencies\n\n- Builds on existing mock system in scenarios\n- Requires plugin system integration (Ticket 1)\n- Integrates with agent interaction testing (Ticket 3) ",
      "createdAt": "2025-08-07T02:49:00Z",
      "closedAt": null,
      "state": "OPEN",
      "commentCount": 2
    },
    {
      "id": "I_kwDOMT5cIs7Bh7_I",
      "title": "Ticket Spec: `fix(scenarios): Runtime dependency audit and fix for evaluators`",
      "author": "linear",
      "number": 5640,
      "repository": "elizaos/eliza",
      "body": "### \n\n**Issue Title**: `fix(scenarios): Runtime dependency audit and fix for evaluators`\n\n**Tags**: `cli`, `scenarios`, `bug`, `evaluators`, `runtime-integration`\n\n#### **Description**\n\nSeveral evaluators in the `EvaluationEngine` make assumptions about `IAgentRuntime` methods that may not exist or may have different signatures than expected. This creates a risk of runtime errors when scenarios are executed, and prevents certain evaluations from functioning correctly.\n\nThe issue stems from evaluators being implemented without first auditing the actual `IAgentRuntime` interface and available methods in the ElizaOS core.\n\n#### **Specific Problem Methods**\n\n**1.** `TrajectoryContainsActionEvaluator`\n\n```typescript\n// Current problematic code in EvaluationEngine.ts\nasync evaluate(runtime: IAgentRuntime, _result: ScenarioResult): Promise<boolean> {\n    const memories = await runtime.getAllMemories(); // ❌ This method may not exist\n    return memories.some((memory: any) => memory.content?.metadata?.action === this.action);\n}\n```\n\n**2.** `LLMJudgeEvaluator`\n\n```typescript\n// Current problematic code in EvaluationEngine.ts\nasync evaluate(runtime: IAgentRuntime, result: ScenarioResult): Promise<boolean> {\n    const llmResult = await runtime.useModel('TEXT_LARGE', { // ❌ Wrong method signature\n        system: `...`,\n        messages: [...]\n    });\n    return llmResult.toLowerCase().includes(this.expected.toLowerCase());\n}\n```\n\n#### **Required Investigation and Fixes**\n\n**1. Audit** `IAgentRuntime` Interface\n\nBefore making any changes, thoroughly examine the actual `IAgentRuntime` interface:\n\n* **Review**: `packages/core/src/types.ts` or wherever `IAgentRuntime` is defined\n* **Identify**: What methods are actually available for:\n  * Accessing agent memory/action history\n  * Making LLM calls\n  * Querying agent state\n* **Document**: Create a reference of available methods with their correct signatures\n\n**2. Study Existing ElizaOS Patterns**\n\nExamine how other parts of the codebase interact with the runtime:\n\n* **Look at**: `packages/core/src/` - How do actions and providers access runtime capabilities?\n* **Look at**: `packages/plugin-bootstrap/src/` - How do evaluators and actions query agent state?\n* **Pattern**: Find examples of LLM calls, memory access, and action history retrieval\n* **Follow**: Use the same patterns that exist elsewhere in the codebase\n\n**3. Fix** `TrajectoryContainsActionEvaluator`\n\n* **Research**: How does ElizaOS actually store and retrieve action history?\n* **Options to investigate**:\n  * `runtime.messageManager` - for conversation/action logs\n  * `runtime.databaseAdapter` - for direct database queries\n  * Event/memory storage patterns used elsewhere\n* **Implementation**: Use the correct ElizaOS pattern for accessing action trajectory\n\n**Example research questions:**\n\n```typescript\n// What's the correct way to access action history?\n// Is it one of these patterns?\nconst actionHistory = await runtime.messageManager.getMemories({...});\nconst events = await runtime.databaseAdapter.getEventHistory();\nconst memories = await runtime.memory.getMemoriesByType('action');\n```\n\n**4. Fix** `LLMJudgeEvaluator`\n\n* **Research**: How do other parts of ElizaOS make LLM calls?\n* **Find**: The correct method signature for LLM invocation\n* **Pattern**: Look at how actions, providers, or other evaluators make LLM calls\n\n**Example research questions:**\n\n```typescript\n// What's the correct way to call an LLM?\n// Is it one of these patterns?\nconst response = await runtime.completion({...});\nconst result = await runtime.generateText({...});\nconst output = await runtime.llm.complete({...});\n```\n\n**5. Add Error Handling and Fallbacks**\n\nFor each fixed evaluator:\n\n* **Graceful Degradation**: If a runtime method is unavailable, return a clear error or skip\n* **Clear Error Messages**: Provide actionable error messages when dependencies are missing\n* **Feature Detection**: Check if required runtime capabilities are available before using them\n\n**6. Create Runtime Requirements Documentation**\n\n* **Document**: What runtime capabilities each evaluator requires\n* **Specify**: Minimum runtime interface requirements for scenarios\n* **Guide**: Help future evaluator implementations avoid these issues\n\n#### **Implementation Approach**\n\n**Phase 1: Investigation (Do this first)**\n\n1. Create a comprehensive audit of `IAgentRuntime` available methods\n2. Find existing patterns in the codebase for:\n   * LLM calls\n   * Memory/action history access\n   * Agent state queries\n3. Document the correct patterns to follow\n\n**Phase 2: Fix Implementation**\n\n1. Update `TrajectoryContainsActionEvaluator` to use correct action history access\n2. Update `LLMJudgeEvaluator` to use correct LLM invocation method\n3. Add proper error handling for missing capabilities\n4. Update any other evaluators with similar issues\n\n**Phase 3: Validation**\n\n1. Test each evaluator with actual runtime instances\n2. Verify error handling works correctly\n3. Confirm evaluators integrate properly with the rest of the scenario system\n\n#### **Testing Strategy**\n\n**1. Runtime Method Validation**\n\n* Create test scenarios that exercise each evaluator type\n* Verify no runtime errors occur during evaluation execution\n* Test both success and failure cases for each evaluator\n\n**2. Integration Testing**\n\n* Test evaluators with actual agent runtimes\n* Verify trajectory evaluation works with real action sequences\n* Verify LLM judge works with actual model calls\n\n**3. Error Handling**\n\n* Test evaluators with mock runtimes that don't have required methods\n* Verify graceful error handling and clear error messages\n\n#### **Success Criteria**\n\n1. All evaluators use correct `IAgentRuntime` methods with proper signatures\n2. No runtime errors occur when evaluators are executed\n3. `TrajectoryContainsActionEvaluator` correctly identifies actions in agent execution history\n4. `LLMJudgeEvaluator` successfully makes LLM calls and processes responses\n5. Clear error messages when runtime capabilities are missing\n6. Documentation exists for runtime requirements of each evaluator\n\n#### **Implementation Guidelines**\n\n**⚠️ Critical Research First:**\n\n1. **Don't assume method signatures** - Always verify against actual `IAgentRuntime` interface\n2. **Follow existing patterns** - Find how other ElizaOS components do LLM calls and memory access\n3. **Study plugin-bootstrap** - This likely contains examples of evaluators that work correctly\n4. **Test incrementally** - Fix one evaluator at a time and verify it works\n5. **Document findings** - Create clear documentation of correct patterns for future reference\n\nThis fix ensures the evaluation engine works reliably with actual ElizaOS runtime instances and follows established patterns in the codebase.",
      "createdAt": "2025-07-21T01:20:49Z",
      "closedAt": "2025-08-07T02:40:16Z",
      "state": "CLOSED",
      "commentCount": 1
    },
    {
      "id": "I_kwDOMT5cIs7Bh7k0",
      "title": "Ticket Spec: `fix(scenarios): Fix environment provider integration - bypass issue`",
      "author": "linear",
      "number": 5639,
      "repository": "elizaos/eliza",
      "body": "### \n\n**Issue Title**: `fix(scenarios): Fix environment provider integration - bypass issue`\n\n**Tags**: `cli`, `scenarios`, `bug`, `critical`, `environment-provider`\n\n#### **Description**\n\nThe scenario runner currently bypasses the sophisticated environment provider system entirely. The `handleRunScenario` function directly executes shell commands using `child_process.exec` instead of calling the properly implemented `LocalEnvironmentProvider` and `E2BEnvironmentProvider` classes. This means that virtual file systems, proper sandboxing, and environment-specific logic are not functioning as intended.\n\nThis is a **critical bug** that breaks core functionality and prevents the scenario system from working as designed.\n\n#### **Current Implementation Problem**\n\nIn `packages/cli/src/commands/scenario.ts`, the `handleRunScenario` function currently does this:\n\n```typescript\nasync function handleRunScenario(_args: {filePath: string, live: boolean}, _runtime: any, scenario: any): Promise<ScenarioResult> {\n    const runStep = scenario.run[0];\n    \n    return new Promise<ScenarioResult>((resolve) => {\n        exec(runStep.input, (error, stdout, stderr) => {\n            resolve({ stdout, stderr, exitCode: error ? error.code || 1 : 0 });\n        });\n    });\n}\n```\n\n**This completely ignores the environment providers that were carefully implemented.**\n\n#### **Expected Implementation**\n\nThe function should instantiate and use the appropriate environment provider based on `scenario.environment.type`:\n\n```typescript\nasync function handleRunScenario(args: {filePath: string, live: boolean}, runtime: IAgentRuntime, scenario: Scenario): Promise<ScenarioResult> {\n    let provider: EnvironmentProvider;\n    \n    // Instantiate the correct provider\n    if (scenario.environment.type === 'e2b') {\n        provider = new E2BEnvironmentProvider(runtime);\n    } else if (scenario.environment.type === 'local') {\n        provider = new LocalEnvironmentProvider();\n    } else {\n        throw new Error(`Unsupported environment type: ${scenario.environment.type}`);\n    }\n    \n    try {\n        await provider.setup(scenario);\n        return await provider.run(scenario);\n    } finally {\n        await provider.teardown();\n    }\n}\n```\n\n#### **Root Cause Analysis**\n\nBased on the AI implementation feedback, this likely happened because:\n\n1. The AI didn't review existing ElizaOS patterns for environment abstraction\n2. The AI took a shortcuts approach instead of following the designed architecture\n3. The ticket didn't emphasize examining existing provider implementations in the codebase\n\n#### **Required Changes**\n\n**1. Fix the Main Handler Function**\n\n* **Modify**: `packages/cli/src/commands/scenario.ts` - `handleRunScenario` function\n* **Change**: Remove direct `child_process.exec` usage\n* **Add**: Proper environment provider instantiation and lifecycle management\n\n**2. Review Existing ElizaOS Environment Patterns**\n\nBefore implementing, examine these existing patterns in the codebase:\n\n* **Look at**: `packages/cli/src/commands/start/` - How does the start command manage different environments?\n* **Look at**: `packages/core/src/` - Are there existing environment abstraction patterns?\n* **Look at**: Other plugins that manage execution environments\n* **Pattern**: Follow existing ElizaOS conventions for service instantiation and lifecycle\n\n**3. E2B Integration Specifics**\n\nBased on the [`@elizaos/plugin-e2b` documentation](https://github.com/elizaos-plugins/plugin-e2b), ensure proper integration:\n\n* **Service Discovery**: Use `runtime.getService('e2b')` to get the E2B service\n* **Error Handling**: Implement the recommended error checking pattern from the plugin docs\n* **API Usage**: Use the correct E2B service methods:\n  * `createSandbox()` for sandbox creation\n  * `executeCode()` for command execution (not `runCommand()` as currently implemented)\n  * `writeFileToSandbox()` for virtual file system setup\n  * `killSandbox()` for cleanup\n* **Configuration**: Respect E2B environment variables (`E2B_API_KEY`, `E2B_MODE`)\n\n**4. Local Environment Integration**\n\n* **Working Directory**: Ensure commands execute in the temporary directory created by `LocalEnvironmentProvider.setup()`\n* **File System**: Verify that `virtual_fs` files are actually available to the executed commands\n* **Cleanup**: Ensure temporary directories are properly cleaned up even on errors\n\n**5. Error Handling & Integration**\n\n* **Provider Errors**: Catch and properly format provider-specific errors\n* **Service Availability**: Handle cases where E2B service is not available with clear error messages\n* **Graceful Degradation**: Implement proper fallback behavior when providers fail\n\n#### **Testing Strategy**\n\n**1. Verify Virtual File System Works**\n\n* Test scenario with `setup.virtual_fs` containing test files\n* Verify commands can read and modify those files\n* Confirm files are properly isolated between test runs\n\n**2. Test E2B Integration**\n\n* Create test scenario that requires E2B (`environment: { type: 'e2b' }`)\n* Verify sandbox creation, file writing, and command execution\n* Test both with and without `E2B_API_KEY` to verify error handling\n\n**3. Test Local Environment**\n\n* Verify local scenarios work with temporary directory isolation\n* Test complex scenarios with multiple commands and file operations\n\n**4. Error Scenarios**\n\n* Test with invalid environment types\n* Test E2B scenarios without the plugin installed\n* Test scenarios that fail during setup or execution\n\n#### **Implementation Notes**\n\n**⚠️ Critical Implementation Guidelines:**\n\n1. **Review Existing Code First**: Before writing any new code, examine how other parts of ElizaOS handle environment abstraction and service integration\n2. **Follow ElizaOS Patterns**: Use the same patterns for service discovery, error handling, and lifecycle management that exist elsewhere in the codebase\n3. **E2B Plugin Integration**: Study the actual E2B plugin implementation to understand the correct service interface, don't assume the interface based on the provider code alone\n4. **Test Incrementally**: Fix local environment first (simpler), then E2B integration\n5. **Preserve Existing Functionality**: Ensure the mock engine, evaluation engine, and reporting continue to work exactly as they do now\n\n**Dependencies:**\n\n* The `LocalEnvironmentProvider` and `E2BEnvironmentProvider` classes are correctly implemented\n* The `@elizaos/plugin-e2b` service interface matches what's expected\n* The scenario schema and validation logic remain unchanged\n\nThis fix will unlock the full potential of the scenario system and enable proper testing of both local and sandboxed agent execution.",
      "createdAt": "2025-07-21T01:18:50Z",
      "closedAt": "2025-08-07T02:39:52Z",
      "state": "CLOSED",
      "commentCount": 1
    },
    {
      "id": "I_kwDOMT5cIs7EwwuN",
      "title": "Eliza CLI failed to build project",
      "author": "Kemystra",
      "number": 5734,
      "repository": "elizaos/eliza",
      "body": "**Describe the bug**\n\nOn project creation, ElizaOS CLI fails with the following error:\n```\n◇  Failed to build project\nstdout: src/index.ts(7,25): error TS2345: Argument of type 'string' is not assignable to parameter of type 'undefined'.\nstderr: $ tsc --noEmit && vite build && tsup\n```\n\n**To Reproduce**\n\n- Install ElizaOS through `bun`\n```\nbun i -g @elizaos/cli\n```\n- Create new ElizaOS project\n```\nelizaos create abcde\n```\n\n**Expected behavior**\n\nProject built successfully\n\n**Screenshots**\n\n<img width=\"1095\" height=\"572\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/967dd6a2-0d70-4e2e-8019-85a2eab5f225\" />\n\n**Additional context**\n\nElizaOS CLI version: `1.3.2`\n",
      "createdAt": "2025-08-07T16:14:00Z",
      "closedAt": null,
      "state": "OPEN",
      "commentCount": 1
    },
    {
      "id": "I_kwDOMT5cIs7Eng6F",
      "title": "feat(scenarios): Implement natural language agent interaction and response validation",
      "author": "monilpat",
      "number": 5727,
      "repository": "elizaos/eliza",
      "body": "# feat(scenarios): Implement natural language agent interaction and response validation\n\n## Description\n\nThis ticket enables scenarios to test agent behavior through natural language interactions rather than direct code execution. This allows testing of agent reasoning, decision-making, and response generation in realistic conversation contexts with proper evaluation of agent responses.\n\n## Acceptance Criteria\n\n1. Scenario `run` blocks support `input` field for natural language prompts to agents\n2. Agent responses are captured and available for evaluation (text, thoughts, actions)\n3. Evaluators can access both agent response text and execution context\n4. Support for multi-turn conversations in scenarios\n5. Agent responses include thought process and action decisions\n6. Integration with existing evaluation engine for response validation\n7. Support for conversation context across multiple steps\n8. Agent response timing and performance metrics\n\n## Technical Approach\n\n### 1. Enhanced Run Step Schema\n```typescript\n// packages/cli/src/scenarios/schema.ts\nconst RunStepSchema = z.object({\n  name: z.string().optional(),\n  // Natural language input to agent\n  input: z.string().optional(),\n  // Direct code execution (existing)\n  lang: z.string().optional(),\n  code: z.string().optional(),\n  // Agent interaction specific\n  agent_context: z.object({\n    conversation_id: z.string().optional(),\n    user_id: z.string().optional(),\n    room_id: z.string().optional(),\n  }).optional(),\n  evaluations: z.array(EvaluationSchema),\n});\n```\n\n### 2. Agent Interaction Engine\n```typescript\n// packages/cli/src/scenarios/agent-interaction.ts\nexport class AgentInteractionEngine {\n  constructor(private runtime: IAgentRuntime) {}\n\n  async interactWithAgent(input: string, context?: AgentContext): Promise<AgentResponse> {\n    // Create message for agent\n    const message: Memory = {\n      entityId: context?.user_id || 'scenario-user',\n      roomId: context?.room_id || 'scenario-room',\n      content: {\n        type: 'text',\n        text: input,\n      },\n      metadata: {\n        type: 'message',\n        conversationId: context?.conversation_id,\n      },\n    };\n\n    // Send to agent and capture response\n    const startTime = Date.now();\n    const response = await this.runtime.processMessage(message);\n    const endTime = Date.now();\n\n    return {\n      text: response.text,\n      thoughts: response.thoughts,\n      actions: response.actions,\n      timing: {\n        startTime,\n        endTime,\n        duration: endTime - startTime,\n      },\n      context: {\n        conversationId: context?.conversation_id,\n        messageId: message.id,\n      },\n    };\n  }\n}\n```\n\n### 3. Enhanced Execution Result\n```typescript\n// packages/cli/src/scenarios/providers.ts\nexport interface ExecutionResult {\n  exitCode: number;\n  stdout: string;\n  stderr: string;\n  files: Record<string, string>;\n  // New: Agent interaction results\n  agentResponse?: AgentResponse;\n  conversationHistory?: AgentResponse[];\n}\n```\n\n## Test Scenario\n\nCreate `agent-interaction-test.scenario.yaml`:\n```yaml\nname: \"Agent Interaction Test\"\ndescription: \"Tests natural language interaction with agents\"\n\nplugins:\n  - \"@elizaos/plugin-github\"\n  - \"@elizaos/plugin-evm\"\n\nenvironment:\n  type: e2b\n\nsetup:\n  mocks:\n    - service: \"github-service\"\n      method: \"searchIssues\"\n      response:\n        - title: \"Implement Dark Mode\"\n          number: 123\n          state: \"open\"\n          labels: [\"feature\", \"ui\"]\n    - service: \"evm-service\"\n      method: \"getBalancesForAddress\"\n      response:\n        - chain: \"ethereum\"\n          balances:\n            - symbol: \"ETH\"\n              amount: \"2.5\"\n\nrun:\n  - name: \"Ask agent about roadmap\"\n    input: \"What new features are you planning to add?\"\n    agent_context:\n      conversation_id: \"roadmap-conversation\"\n      user_id: \"test-user\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"github-service.searchIssues\"\n        description: \"Verify agent searched for issues\"\n      \n      - type: \"string_contains\"\n        value: \"Dark Mode\"\n        description: \"Verify agent mentioned the mocked issue\"\n      \n      - type: \"llm_judge\"\n        prompt: \"Did the agent provide a helpful and coherent response about new features?\"\n        expected: \"yes\"\n        description: \"Verify agent response quality\"\n\n  - name: \"Ask agent about wallet\"\n    input: \"What's my current wallet balance?\"\n    agent_context:\n      conversation_id: \"wallet-conversation\"\n      user_id: \"test-user\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"evm-service.getBalancesForAddress\"\n        description: \"Verify agent checked wallet balance\"\n      \n      - type: \"string_contains\"\n        value: \"2.5 ETH\"\n        description: \"Verify agent reported the correct balance\"\n      \n      - type: \"llm_judge\"\n        prompt: \"Did the agent clearly explain the wallet balance information?\"\n        expected: \"yes\"\n\n  - name: \"Multi-turn conversation\"\n    input: \"Can you help me with both my wallet and roadmap?\"\n    agent_context:\n      conversation_id: \"multi-turn-conversation\"\n      user_id: \"test-user\"\n    evaluations:\n      - type: \"trajectory_contains_action\"\n        action: \"evm-service.getBalancesForAddress\"\n      - type: \"trajectory_contains_action\"\n        action: \"github-service.searchIssues\"\n      - type: \"string_contains\"\n        value: \"ETH\"\n      - type: \"string_contains\"\n        value: \"Dark Mode\"\n      - type: \"llm_judge\"\n        prompt: \"Did the agent address both wallet and roadmap questions comprehensively?\"\n        expected: \"yes\"\n\njudgment:\n  strategy: all_pass\n```\n\n## Testing Strategy\n\n1. **Single Turn**: Test basic agent interaction and response\n2. **Multi-turn**: Test conversation context across steps\n3. **Action Tracking**: Verify agent uses appropriate actions\n4. **Response Quality**: Test LLM judge evaluation of responses\n5. **Performance**: Test response timing and metrics\n6. **Error Handling**: Test agent behavior with invalid inputs\n\n## Dependencies\n\n- Requires plugin system integration (Ticket 1)\n- Builds on advanced mocking system (Ticket 2)\n- Integrates with existing evaluation engine\n- Depends on agent runtime message processing",
      "createdAt": "2025-08-07T02:49:34Z",
      "closedAt": null,
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    {
      "id": "PR_kwDOMT5cIs6ipYsq",
      "title": "Fix action chaining",
      "author": "alex-nax",
      "number": 5736,
      "body": "<!-- Use this template by filling in information and copying and pasting relevant items out of the HTML comments. -->\r\n\r\n# Relates to\r\n\r\n<!-- LINK TO ISSUE OR TICKET -->\r\n\r\n<!-- This risks section must be filled out before the final review and merge. -->\r\n\r\n# Risks\r\n\r\n<!--\r\nLow, medium, large. List what kind of risks and what could be affected.\r\n-->\r\n\r\n# Background\r\n\r\n## What does this PR do?\r\n\r\n## What kind of change is this?\r\n\r\n<!--\r\nBug fixes (non-breaking change which fixes an issue)\r\nImprovements (misc. changes to existing features)\r\nFeatures (non-breaking change which adds functionality)\r\nUpdates (new versions of included code)\r\n-->\r\n\r\n<!-- This \"Why\" section is most relevant if there are no linked issues explaining why. If there is a related issue, it might make sense to skip this why section. -->\r\n<!--\r\n## Why are we doing this? Any context or related work?\r\n-->\r\n\r\n# Documentation changes needed?\r\n\r\n<!--\r\nMy changes do not require a change to the project documentation.\r\nMy changes require a change to the project documentation.\r\nIf documentation change is needed: I have updated the documentation accordingly.\r\n-->\r\n\r\n<!-- Please show how you tested the PR. This will really help if the PR needs to be retested and probably help the PR get merged quicker. -->\r\n\r\n# Testing\r\n\r\n## Where should a reviewer start?\r\n\r\n## Detailed testing steps\r\n\r\n<!--\r\nNone: Automated tests are acceptable.\r\n-->\r\n\r\n<!--\r\n- As [anon/admin], go to [link]\r\n  - [do action]\r\n  - verify [result]\r\n-->\r\n\r\n<!-- If there is a UI change, please include before and after screenshots or videos. This will speed up PRs being merged. It is extra nice to annotate screenshots with arrows or boxes pointing out the differences. -->\r\n<!--\r\n## Screenshots\r\n### Before\r\n### After\r\n-->\r\n\r\n<!-- If there is anything about the deployment, please make a note. -->\r\n<!--\r\n# Deploy Notes\r\n-->\r\n\r\n<!--  Copy and paste command line output. -->\r\n<!--\r\n## Database changes\r\n-->\r\n\r\n<!--  Please specify deploy instructions if there is something more than the automated steps. -->\r\n<!--\r\n## Deployment instructions\r\n-->\r\n\r\n<!-- If you are on Discord, please join https://discord.gg/ai16z and state your Discord username here for the contributor role and join us in #development-feed -->\r\n<!--\r\n## Discord username\r\n\r\n-->\r\n",
      "repository": "elizaos/eliza",
      "createdAt": "2025-08-07T19:20:39Z",
      "mergedAt": null,
      "additions": 16193,
      "deletions": 301526
    },
    {
      "id": "PR_kwDOMT5cIs6irLBo",
      "title": "fix missing pino logger refactors",
      "author": "ChristopherTrimboli",
      "number": 5737,
      "body": "### Summary\r\n- Convert logger calls across the repo to object-first structured logging to align with pino typings and fix TS/DTS errors.\r\n- No functional behavior changes; improves type-safety and log structure.\r\n\r\n### Why\r\n- Recent stricter typings select the “message-only” overload when a string is first, causing TS2345 when a second argument is passed.\r\n- Pino’s canonical usage is `logger.<level>(obj, msg)` for structured data.\r\n\r\n### What changed\r\n- Repo-wide refactor: replace string-first + extra arg with object-first structured calls; avoid passing arrays/objects as the second arg.\r\n- Updated event/provider logs to attach data via an object, not as additional args.\r\n\r\n### Affected packages\r\n- core: minimal/no change in this pass\r\n- server: converted error/warn/info usages in `packages/server/src/index.ts`\r\n- cli: multiple files under `packages/cli/src/**` (start/test/update/utils), including top-level `src/index.ts`\r\n- plugin-bootstrap: actions/providers/services/evaluators and `src/index.ts`\r\n- plugin-dummy-services: `src/tokenData/service.ts`\r\n- plugin-starter: `src/plugin.ts` (action error and event param keys)\r\n- plugin-quick-starter: `src/plugin.ts` (event message/world logs)\r\n- project-starter:\r\n  - `src/index.ts` (character name log)\r\n  - `src/plugin.ts` (action error, events param keys)\r\n  - tests under `src/__tests__/*.ts` updated to structured error logs\r\n- project-tee-starter: `src/plugin.ts` (keypair/signature logs, TEE warnings, event message preview)\r\n\r\n### Pattern (before → after)\r\n```ts\r\n// Before (string-first + extra arg)\r\nlogger.error('Error in action:', error);\r\nlogger.debug('Message:', params.message);\r\nlogger.info('[EVENT]', previewText);\r\n\r\n// After (object-first)\r\nlogger.error({ error }, 'Error in action:');\r\nlogger.debug({ message: params.message }, 'Message:');\r\nlogger.info({ preview: previewText }, '[EVENT]');\r\n```\r\n\r\n### Impact\r\n- Fixes TS2345/“never” overload errors during DTS builds (observed in plugin-starter, plugin-quick-starter, project-starter, project-tee-starter, etc.).\r\n- Structured logs (JSON) with explicit keys; log parsing/search may improve. Some plain appended values move into fields (e.g., `message`, `world`, `signature`, `keys`, `error`).\r\n\r\n### Testing\r\n- Type-checks pass locally on edited files; DTS errors reported in build output addressed at call sites noted above.\r\n- No runtime logic changed. Only log call signatures and shapes.\r\n\r\n### Guidance for contributors\r\n- Use object-first logging whenever attaching data:\r\n  - Prefer: `logger.warn({ context }, 'message')`\r\n  - Avoid: `logger.warn('message', context)` or passing arrays/objects as the second arg.\r\n- For previews, attach as a named field: `{ preview: text.slice(0, 50) }`.",
      "repository": "elizaos/eliza",
      "createdAt": "2025-08-07T23:47:57Z",
      "mergedAt": "2025-08-08T00:37:12Z",
      "additions": 272,
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      "id": "PR_kwDOMT5cIs6ihriD",
      "title": "feat: ability to cancel current run before any calls to LLM are made",
      "author": "alex-nax",
      "number": 5728,
      "body": "# Background\r\n\r\n## What does this PR do?\r\n\r\nIntroduce entity for cancelling runs `CancelRunSignal`\r\n\r\n## Why are we doing this? Any context or related work?\r\n\r\n- Calls to LLMs usually cost some credits\r\n- When we receive the `RUN_STARTED` event we can check current entity and end run to prevent credits spending\r\n\r\n# Documentation changes needed?\r\n\r\n## Methods\r\n\r\n- `static getSignal(runId: UUID)` - get signal by runId or create if null\r\n- `static clear(runId: UUID)` - clear signal from map\r\n- `cancel(content?: Content)` - cancel current run and and send `content` as a response to user\r\n\r\n## Example\r\n\r\n```typescript\r\nimport { Content, EventType, Plugin } from \"@elizaos/core\";\r\nimport { CancelRunSignal } from \"@elizaos/plugin-bootstrap\";\r\n\r\n// consider we have a service to determine eligibility for entity\r\ninterface EligibilityService {\r\n  check(entityId: UUID): Promise<{ result: boolean, reason?: Content }>\r\n}\r\n\r\nconst plugin: Plugin = {\r\n...\r\n  events: {\r\n    [EventType.RUN_STARTED]: ({ entityId, runId, runtime }) => {\r\n      const service = runtime.getService<EligibilityService>(\"USER_MANAGEMENT\");\r\n      const { result, reason } = await service.check(entityId);\r\n      \r\n      if (!result) {\r\n        const signal = CancelRunSignal.getSignal(runId);\r\n        signal.cancel(reason);\r\n      }\r\n    },\r\n    ...\r\n  },\r\n  ...\r\n}\r\n\r\nexport default Plugin;\r\n```\r\n\r\n## Discord username\r\n\r\nalexd000\r\n\r\n",
      "repository": "elizaos/eliza",
      "createdAt": "2025-08-07T07:19:35Z",
      "mergedAt": null,
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      "id": "PR_kwDOMT5cIs6inDEc",
      "title": "feat: replace numbered versions to workspace:*",
      "author": "wtfsayo",
      "number": 5731,
      "body": "## Summary\n\nThis PR migrates the ElizaOS monorepo to use workspace:* version management for better dependency synchronization and consistency.\n\n## Changes\n\n- Updated all package.json files to use `workspace:*` versioning instead of hardcoded versions\n- Synchronized dependency versions across all workspace packages\n- Updated bun.lock to reflect the new workspace dependency structure\n- Standardized version management approach for the monorepo\n\n## Benefits\n\n- **Consistency**: All workspace packages now use the same versioning approach\n- **Maintenance**: Easier to manage versions across the monorepo\n- **Reliability**: Reduces version mismatch issues between packages\n- **Development**: Simplifies local development with workspace dependencies\n\n## Testing\n\n- All package.json files have been updated consistently\n- Bun lock file has been regenerated to reflect changes\n- No functional changes to the codebase, only version management improvements\n\n## Type of Change\n\n- [ ] Bug fix (non-breaking change which fixes an issue)\n- [x] New feature (non-breaking change which adds functionality)  \n- [x] Breaking change (fix or feature that would cause existing functionality to not work as expected)\n- [x] This change requires a documentation update\n- [x] Chore (maintenance, refactoring, etc.)\n\n## Checklist\n\n- [x] My code follows the style guidelines of this project\n- [x] I have performed a self-review of my own code\n- [x] I have made corresponding changes to the documentation (if applicable)\n- [x] My changes generate no new warnings or errors\n- [x] Any dependent changes have been merged and published in downstream modules",
      "repository": "elizaos/eliza",
      "createdAt": "2025-08-07T15:11:47Z",
      "mergedAt": "2025-08-07T15:12:23Z",
      "additions": 61,
      "deletions": 153
    },
    {
      "id": "PR_kwDOMT5cIs6inmtQ",
      "title": "fix(cli): handle monorepo version in update command",
      "author": "wtfsayo",
      "number": 5733,
      "body": "## Summary\n\nThis PR fixes the failing CLI test `update --check works` that was failing in CI due to version handling in monorepo context.\n\n## Problem\n\nThe test was expecting a semantic version pattern (e.g., `1.2.0`) but was receiving `workspace:*` because the CLI's package.json in the monorepo uses workspace protocol.\n\n## Solution\n\n- Updated `getVersion()` in `version-utils.ts` to detect monorepo context using the standard `detectDirectoryType` pattern\n- Returns `'monorepo'` instead of `'workspace:*'` when running in monorepo context\n- Updated the test regex to accept both `'monorepo'` and semantic versions\n- Follows existing patterns used throughout the codebase (e.g., in `dev-server.ts`, `build-utils.ts`)\n\n## Changes\n\n1. **packages/cli/src/commands/update/utils/version-utils.ts**\n   - Added import for `detectDirectoryType`\n   - Check for monorepo using `directoryInfo.type === 'elizaos-monorepo'`\n   - Return `'monorepo'` when in monorepo context or when version is `workspace:*`\n\n2. **packages/cli/tests/commands/update.test.ts**\n   - Updated test regex to accept both `monorepo` and semantic versions\n   - Added comment explaining the expected behavior\n\n## Testing\n\n- Manually tested `elizaos update --check` command - correctly returns `Version: monorepo`\n- Test should now pass in CI environment\n\nFixes the workflow failure seen in: https://github.com/elizaOS/eliza/actions/runs/16808774401/job/47608279198",
      "repository": "elizaos/eliza",
      "createdAt": "2025-08-07T16:00:47Z",
      "mergedAt": "2025-08-07T16:08:30Z",
      "additions": 21,
      "deletions": 2
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      "title": "fix(cli): handle monorepo version in update command",
      "prNumber": 5733,
      "type": "bugfix",
      "body": "## Summary\n\nThis PR fixes the failing CLI test `update --check works` that was failing in CI due to version handling in monorepo context.\n\n## Problem\n\nThe test was expecting a semantic version pattern (e.g., `1.2.0`) but was receiving `work",
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      "prNumber": 5732,
      "type": "feature",
      "body": "## Summary\n\nThis PR removes the automatic merge from main to develop that was happening at the end of the release workflow.\n\n## Changes\n\n- Removed the 'Merge main to develop' step from \n- This step was automatically merging main into develo",
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      "body": "## Summary\n\nThis PR migrates the ElizaOS monorepo to use workspace:* version management for better dependency synchronization and consistency.\n\n## Changes\n\n- Updated all package.json files to use `workspace:*` versioning instead of hardcode",
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