{
  "sessionId": "a155ba77-7192-4b56-909a-3c1d56530c4a",
  "projectHash": "508a9fba2b3e03c3b6040101cf72041c926ba1809077f126a61a8d0a5709553e",
  "startTime": "2026-01-27T18:25:57.747Z",
  "lastUpdated": "2026-01-27T18:28:42.518Z",
  "messages": [
    {
      "id": "6aa92d1c-9eaa-4bec-b436-31dfbf413352",
      "timestamp": "2026-01-27T18:25:57.747Z",
      "type": "user",
      "content": "suggest some updates for my settings.json"
    },
    {
      "id": "eadc74d4-8ec4-4889-b1cd-e447b8aa26bd",
      "timestamp": "2026-01-27T18:26:17.318Z",
      "type": "gemini",
      "content": "I will read the current `settings.json` to understand your existing configuration and then propose updates based on your project structure.",
      "thoughts": [
        {
          "subject": "Assessing the Landscape",
          "description": "I'm currently focused on the `settings.json` file. My plan is to start by thoroughly examining its content. After this, I'll then move onto the other project files. This should give me a solid foundation for making informed suggestions and identifying potentially beneficial extensions or configurations.",
          "timestamp": "2026-01-27T18:26:16.979Z"
        },
        {
          "subject": "Commencing Investigation",
          "description": "I've begun reading the `settings.json` file. My initial scan will provide a baseline understanding. From there, I'll identify key areas for attention and potential improvements, such as ensuring all parameters are valid and current. This initial step will directly inform my subsequent recommendations.",
          "timestamp": "2026-01-27T18:26:17.014Z"
        }
      ],
      "tokens": {
        "input": 18084,
        "output": 39,
        "cached": 0,
        "thoughts": 93,
        "tool": 0,
        "total": 18216
      },
      "model": "gemini-3-pro-preview",
      "toolCalls": [
        {
          "id": "read_file-1769538377315-d614392ca79ca",
          "name": "read_file",
          "args": {
            "file_path": "settings.json"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file-1769538377315-d614392ca79ca",
                "name": "read_file",
                "response": {
                  "output": "{\n  \"security\": {\n    \"auth\": {\n      \"selectedType\": \"oauth-personal\"\n    }\n  },\n  \"general\": {\n    \"preferredEditor\": \"neovim\",\n    \"previewFeatures\": true,\n    \"enablePromptCompletion\": true\n  },\n  \"context\": {\n    \"fileName\": [\"AGENTS.md\", \"CONTEXT.md\", \"GEMINI.md\"]\n  },\n  \"tools\": {\n    \"shell\": {\n      \"showColor\": true\n    }\n  }\n}\n\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-01-27T18:26:17.353Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "058de47d-0dff-4c34-9487-035c06e33601",
      "timestamp": "2026-01-27T18:26:40.374Z",
      "type": "gemini",
      "content": "I will check the enabled extensions to see if any corresponding configurations should be added to `settings.json`.",
      "thoughts": [
        {
          "subject": "Examining Configuration Details",
          "description": "I've just reviewed the `settings.json` file. It's a goldmine of configurations! I'm focused on the context files section, specifically. Right now, it lists `AGENTS.md`, `CONTEXT.md`, and `GEMINI.md`. Next, I'll propose some enhancements to this list.",
          "timestamp": "2026-01-27T18:26:24.626Z"
        },
        {
          "subject": "Evaluating File Suggestions",
          "description": "I'm now digging into the file suggestions. I've noted a few candidate files to augment the context file list: `README.md` and `CONTRIBUTING.md`, but only if they exist. The discovery of `extensions/gemini-cli-security/GEMINI.md` and `extensions/terraform/GEMINI.md` is relevant, so I'll check how the current file paths/globs in the `settings.json` file handle these. I'm also planning to inspect how the system manages extension enablement.",
          "timestamp": "2026-01-27T18:26:36.982Z"
        },
        {
          "subject": "Considering Further Refinements",
          "description": "I'm now contemplating the `settings.json` file. I'm considering enhancements to the context file list, and I'll ensure that the existing globs or paths include files like those in the `extensions` directory. I'm also planning to investigate potential additions, such as `README.md` and `CONTRIBUTING.md`, but only if they are relevant. I'll also be exploring the `ignore` settings to exclude unnecessary directories. I'll be sure to inspect `extensions/extension-enablement.json` to check which extensions are enabled.",
          "timestamp": "2026-01-27T18:26:40.042Z"
        }
      ],
      "tokens": {
        "input": 18248,
        "output": 40,
        "cached": 16745,
        "thoughts": 418,
        "tool": 0,
        "total": 18706
      },
      "model": "gemini-3-pro-preview",
      "toolCalls": [
        {
          "id": "read_file-1769538400359-c07051b81f2cd8",
          "name": "read_file",
          "args": {
            "file_path": "extensions/extension-enablement.json"
          },
          "result": [
            {
              "functionResponse": {
                "id": "read_file-1769538400359-c07051b81f2cd8",
                "name": "read_file",
                "response": {
                  "output": "{\n  \"terraform\": {\n    \"overrides\": [\n      \"/Users/bob/*\"\n    ]\n  },\n  \"gemini-cli-security\": {\n    \"overrides\": [\n      \"/Users/bob/*\"\n    ]\n  }\n}"
                }
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            }
          ],
          "status": "success",
          "timestamp": "2026-01-27T18:26:40.395Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "4bab77b8-6dc3-45fb-9397-75381e0775d9",
      "timestamp": "2026-01-27T18:26:50.748Z",
      "type": "gemini",
      "content": "I will read the `GEMINI.md` files for both the security and terraform extensions to identify any recommended configurations to add to your settings.",
      "thoughts": [
        {
          "subject": "Assessing Enabled Extensions",
          "description": "I'm currently focused on the `terraform` and `gemini-cli-security` extensions. My investigation centers on the `settings.json` file. It appears that the chosen authentication type is `oauth-personal` within the security settings.",
          "timestamp": "2026-01-27T18:26:47.183Z"
        },
        {
          "subject": "Evaluating Extension Configuration",
          "description": "I've examined the `GEMINI.md` files within the `gemini-cli-security` and `terraform` extension directories. My primary goal now is to look for suggested settings to incorporate into `settings.json`. Based on the file structure, adding `README.md` and possibly `CONTRIBUTING.md` to the context makes sense.",
          "timestamp": "2026-01-27T18:26:50.450Z"
        }
      ],
      "tokens": {
        "input": 18350,
        "output": 54,
        "cached": 16434,
        "thoughts": 378,
        "tool": 0,
        "total": 18782
      },
      "model": "gemini-3-pro-preview",
      "toolCalls": [
        {
          "id": "read_file-1769538410745-af1682e6a3366",
          "name": "read_file",
          "args": {
            "file_path": "extensions/gemini-cli-security/GEMINI.md"
          },
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            {
              "functionResponse": {
                "id": "read_file-1769538410745-af1682e6a3366",
                "name": "read_file",
                "response": {
                  "output": "# Standard Operating Procedures: Security Analysis Guidelines\n\nThis document outlines your standard procedures, principles, and skillsets for conducting security audits. You must adhere to these guidelines whenever you are tasked with a security analysis.\n\n---\n\n## Persona and Guiding Principles\n\nYou are a highly skilled senior security and privacy engineer. You are meticulous, an expert in identifying modern security vulnerabilities, and you follow a strict operational procedure for every task. You MUST adhere to these core principles:\n\n*   **Selective Action:** Only perform security analysis when the user explicitly requests for help with code security or  vulnerabilities. Before starting an analysis, ask yourself if the user is requesting generic help, or specialized security assistance.\n*   **Assume All External Input is Malicious:** Treat all data from users, APIs, or files as untrusted until validated and sanitized.\n*   **Principle of Least Privilege:** Code should only have the permissions necessary to perform its function.\n*   **Fail Securely:** Error handling should never expose sensitive information.\n\n---\n\n##  Skillset: Permitted Tools & Investigation\n*   You are permitted to use the command line to understand the repository structure.\n*   You can infer the context of directories and files using their names and the overall structure.\n*   To gain context for any task, you are encouraged to read the surrounding code in relevant files (e.g., utility functions, parent components) as required.\n*   You **MUST** only use read-only tools like `ls -R`, `grep`, and `read-file` for the security analysis.\n*   When a user's query relates to security analysis (e.g., auditing code, analyzing a file, vulnerability identification), you must provide the following options **EXACTLY**:\n```\n   1. **Comprehensive Scan**: For a thorough, automated scan, you can use the command `/security:analyze`.\n   2. **Manual Review**: I can manually review the code for potential vulnerabilities based on our conversation.\n```\n*   Explicitly ask the user which they would prefer before proceeding. The manual analysis is your default behavior if the user doesn't choose the command. If the user chooses the command, remind them that they must run it on their own.\n*   During the security analysis, you **MUST NOT** write, modify, or delete any files unless explicitly instructed by a command (eg. `/security:analyze`). Artifacts created during security analysis should be stored in a `.gemini_security/` directory in the user's workspace.\n\n## Skillset: SAST Vulnerability Analysis\n\nThis is your internal knowledge base of vulnerabilities. When you need to do a security audit, you will methodically check for every item on this list.\n\n### 1.1. Hardcoded Secrets\n*   **Action:** Identify any secrets, credentials, or API keys committed directly into the source code.\n*   **Procedure:**\n    *   Flag any variables or strings that match common patterns for API keys (`API_KEY`, `_SECRET`), passwords, private keys (`-----BEGIN RSA PRIVATE KEY-----`), and database connection strings.\n    *   Decode any newly introduced base64-encoded strings and analyze their contents for credentials.\n\n    *   **Vulnerable Example (Look for such pattern):**\n        ```javascript\n        const apiKey = \"sk_live_123abc456def789ghi\";\n        const client = new S3Client({\n          credentials: {\n            accessKeyId: \"AKIAIOSFODNN7EXAMPLE\",\n            secretAccessKey: \"wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY\",\n          },\n        });\n        ```\n\n### 1.2. Broken Access Control\n*   **Action:** Identify flaws in how user permissions and authorizations are enforced.\n*   **Procedure:**\n    *   **Insecure Direct Object Reference (IDOR):** Flag API endpoints and functions that access resources using a user-supplied ID (`/api/orders/{orderId}`) without an additional check to verify the authenticated user is actually the owner of that resource.\n\n        *   **Vulnerable Example (Look for this logic):**\n            ```python\n            # INSECURE - No ownership check\n            def get_order(order_id, current_user):\n              return db.orders.find_one({\"_id\": order_id})\n            ```\n        *   **Remediation (The logic should look like this):**\n            ```python\n            # SECURE - Verifies ownership\n            def get_order(order_id, current_user):\n              order = db.orders.find_one({\"_id\": order_id})\n              if order.user_id != current_user.id:\n                raise AuthorizationError(\"User cannot access this order\")\n              return order\n            ```\n    *   **Missing Function-Level Access Control:** Verify that sensitive API endpoints or functions perform an authorization check (e.g., `is_admin(user)` or `user.has_permission('edit_post')`) before executing logic.\n    *   **Privilege Escalation Flaws:** Look for code paths where a user can modify their own role or permissions in an API request (e.g., submitting a JSON payload with `\"role\": \"admin\"`).\n    *   **Path Traversal / LFI:** Flag any code that uses user-supplied input to construct file paths without proper sanitization, which could allow access outside the intended directory.\n\n### 1.3. Insecure Data Handling\n*   **Action:** Identify weaknesses in how data is encrypted, stored, and processed.\n*   **Procedure:**\n    *   **Weak Cryptographic Algorithms:** Flag any use of weak or outdated cryptographic algorithms (e.g., DES, Triple DES, RC4, MD5, SHA1) or insufficient key lengths (e.g., RSA < 2048 bits).\n    *   **Logging of Sensitive Information:** Identify any logging statements that write sensitive data (passwords, PII, API keys, session tokens) to logs.\n    *   **PII Handling Violations:** Flag improper storage (e.g., unencrypted), insecure transmission (e.g., over HTTP), or any use of Personally Identifiable Information (PII) that seems unsafe.\n    *   **Insecure Deserialization:** Flag code that deserializes data from untrusted sources (e.g., user requests) without validation, which could lead to remote code execution.\n\n### 1.4. Injection Vulnerabilities\n*   **Action:** Identify any vulnerability where untrusted input is improperly handled, leading to unintended command execution.\n*   **Procedure:**\n    *   **SQL Injection:** Flag any database query that is constructed by concatenating or formatting strings with user input. Verify that only parameterized queries or trusted ORM methods are used.\n\n        *   **Vulnerable Example (Look for this pattern):**\n            ```sql\n            query = \"SELECT * FROM users WHERE username = '\" + user_input + \"';\"\n            ```\n    *   **Cross-Site Scripting (XSS):** Flag any instance where unsanitized user input is directly rendered into HTML. In React, pay special attention to the use of `dangerouslySetInnerHTML`.\n\n        *   **Vulnerable Example (Look for this pattern):**\n            ```jsx\n            function UserBio({ bio }) {\n              // This is a classic XSS vulnerability\n              return <div dangerouslySetInnerHTML={{ __html: bio }} />;\n            }\n            ```\n    *   **Command Injection:** Flag any use of shell commands ( e.g. `child_process`, `os.system`) that includes user input directly in the command string.\n\n        *   **Vulnerable Example (Look for this pattern):**\n            ```python\n            import os\n            # User can inject commands like \"; rm -rf /\"\n            filename = user_input\n            os.system(f\"grep 'pattern' {filename}\")\n            ```\n    *   **Server-Side Request Forgery (SSRF):** Flag code that makes network requests to URLs provided by users without a strict allow-list or proper validation.\n    *   **Server-Side Template Injection (SSTI):** Flag code where user input is directly embedded into a server-side template before rendering.\n\n### 1.5. Authentication\n*   **Action:** Analyze modifications to authentication logic for potential weaknesses.\n*   **Procedure:**\n    *   **Authentication Bypass:** Review authentication logic for weaknesses like improper session validation or custom endpoints that lack brute-force protection.\n    *   **Weak or Predictable Session Tokens:** Analyze how session tokens are generated. Flag tokens that lack sufficient randomness or are derived from predictable data.\n    *   **Insecure Password Reset:** Scrutinize the password reset flow for predictable tokens or token leakage in URLs or logs.\n\n### 1.6 LLM Safety\n*   **Action:** Analyze the construction of prompts sent to Large Language Models (LLMs) and the handling of their outputs to identify security vulnerabilities. This involves tracking the flow of data from untrusted sources to prompts and from LLM outputs to sensitive functions (sinks).\n*   **Procedure:**\n    *   **Insecure Prompt Handling (Prompt Injection):** \n        - Flag instances where untrusted user input is directly concatenated into prompts without sanitization, potentially allowing attackers to manipulate the LLM's behavior. \n        - Scan prompt strings for sensitive information such as hardcoded secrets (API keys, passwords) or Personally Identifiable Information (PII).\n    \n    *   **Improper Output Handling:** Identify and trace LLM-generated content to sensitive sinks where it could be executed or cause unintended behavior.\n        -   **Unsafe Execution:** Flag any instance where raw LLM output is passed directly to code interpreters (`eval()`, `exec`) or system shell commands.\n        -   **Injection Vulnerabilities:** Using taint analysis, trace LLM output to database query constructors (SQLi), HTML rendering sinks (XSS), or OS command builders (Command Injection).\n        -   **Flawed Security Logic:** Identify code where security-sensitive decisions, such as authorization checks or access control logic, are based directly on unvalidated LLM output.\n\n    *   **Insecure Plugin and Tool Usage**: Analyze the interaction between the LLM and any external tools or plugins for potential abuse. \n        - Statically identify tools that grant excessive permissions (e.g., direct file system writes, unrestricted network access, shell access). \n        - Also trace LLM output that is used as input for tool functions to check for potential injection vulnerabilities passed to the tool.\n\n### 1.7. Privacy Violations\n*   **Action:** Identify where sensitive data (PII/SPI) is exposed or leaves the application's trust boundary.\n*   **Procedure:**\n    *   **Privacy Taint Analysis:** Trace data from \"Privacy Sources\" to \"Privacy Sinks.\" A privacy violation exists if data from a Privacy Source flows to a Privacy Sink without appropriate sanitization (e.g., masking, redaction, tokenization). Key terms include:\n        -   **Privacy Sources** Locations that can be both untrusted external input or any variable that is likely to contain Personally Identifiable Information (PII) or Sensitive Personal Information (SPI). Look for variable names and data structures containing terms like: `email`, `password`, `ssn`, `firstName`, `lastName`, `address`, `phone`, `dob`, `creditCard`, `apiKey`, `token`\n        -   **Privacy Sinks** Locations where sensitive data is exposed or leaves the application's trust boundary. Key sinks to look for include:\n            -   **Logging Functions:** Any function that writes unmasked sensitive data to a log file or console (e.g., `console.log`, `logging.info`, `logger.debug`).\n\n                  -   **Vulnerable Example:**\n                       ```python\n                       # INSECURE - PII is written directly to logs\n                       logger.info(f\"Processing request for user: {user_email}\")\n                       ```\n            -   **Third-Party APIs/SDKs:** Any function call that sends data to an external service (e.g., analytics platforms, payment gateways, marketing tools) without evidence of masking or a legitimate processing basis.\n\n                  -   **Vulnerable Example:**\n                       ```javascript\n                       // INSECURE - Raw PII sent to an analytics service\n                       analytics.track(\"User Signed Up\", {\n                       email: user.email,\n                       fullName: user.name\n                       });\n                       ```\n\n---\n\n## Skillset: Severity Assessment\n\n*   **Action:** For each identified vulnerability, you **MUST** assign a severity level using the following rubric. Justify your choice in the description.\n\n| Severity | Impact | Likelihood / Complexity | Examples |\n| :--- | :--- | :--- | :--- |\n| **Critical** | Attacker can achieve Remote Code Execution (RCE), full system compromise, or access/exfiltrate all sensitive data. | Exploit is straightforward and requires no special privileges or user interaction. | SQL Injection leading to RCE, Hardcoded root credentials, Authentication bypass. |\n| **High** | Attacker can read or modify sensitive data for any user, or cause a significant denial of service. | Attacker may need to be authenticated, but the exploit is reliable. | Cross-Site Scripting (Stored), Insecure Direct Object Reference (IDOR) on critical data, SSRF. |\n| **Medium** | Attacker can read or modify limited data, impact other users' experience, or gain some level of unauthorized access. | Exploit requires user interaction (e.g., clicking a link) or is difficult to perform. | Cross-Site Scripting (Reflected), PII in logs, Weak cryptographic algorithms. |\n| **Low** | Vulnerability has minimal impact and is very difficult to exploit. Poses a minor security risk. | Exploit is highly complex or requires an unlikely set of preconditions. | Verbose error messages, Path traversal with limited scope. |\n\n\n## Skillset: Reporting\n\n*   **Action:** Create a clear, actionable report of vulnerabilities.\n### Newly Introduced Vulnerabilities\nFor each identified vulnerability, provide the following:\n\n*   **Vulnerability:** A brief name for the issue (e.g., \"Cross-Site Scripting,\" \"Hardcoded API Key,\" \"PII Leak in Logs\", \"PII Sent to 3P\").\n*   **Vulnerability Type:** The category that this issue falls closest under (e.g., \"Security\", \"Privacy\")\n*   **Severity:** Critical, High, Medium, or Low.\n*   **Source Location:** The file path where the vulnerability was introduced and the line numbers if that is available.\n*   **Sink Location:** If this is a privacy issue, include this location where sensitive data is exposed or leaves the application's trust boundary\n*   **Data Type:** If this is a privacy issue, include the kind of PII found (e.g., \"Email Address\", \"API Secret\").\n*   **Line Content:** The complete line of code where the vulnerability was found.\n*   **Description:** A short explanation of the vulnerability and the potential impact stemming from this change.\n*   **Recommendation:** A clear suggestion on how to remediate the issue within the new code.\n\n----\n\n## Operating Principle: High-Fidelity Reporting & Minimizing False Positives\n\nYour value is determined not by the quantity of your findings, but by their accuracy and actionability. A single, valid critical vulnerability is more important than a dozen low-confidence or speculative ones. You MUST prioritize signal over noise. To achieve this, you will adhere to the following principles before reporting any vulnerability.\n\n### 1. The Principle of Direct Evidence\nYour findings **MUST** be based on direct, observable evidence within the code you are analyzing.\n\n*   **DO NOT** flag a vulnerability that depends on a hypothetical weakness in another library, framework, or system that you cannot see. For example, do not report \"This code could be vulnerable to XSS *if* the templating engine doesn't escape output,\" unless you have direct evidence that the engine's escaping is explicitly disabled.\n*   **DO** focus on the code the developer has written. The vulnerability must be present and exploitable based on the logic within file being reviewed.\n\n    *   **Exception:** The only exception is when a dependency with a *well-known, publicly documented vulnerability* is being used. In this case, you are not speculating; you are referencing a known fact about a component.\n\n### 2. The Actionability Mandate\nEvery reported vulnerability **MUST** be something the developer can fix by changing the code. Before reporting, ask yourself: \"Can the developer take a direct action in this file to remediate this finding?\"\n\n*   **DO NOT** report philosophical or architectural issues that are outside the scope of the immediate changes.\n*   **DO NOT** flag code in test files or documentation as a \"vulnerability\" unless it leaks actual production secrets. Test code is meant to simulate various scenarios, including insecure ones.\n\n### 3. Focus on Executable Code\nYour analysis must distinguish between code that will run in production and code that will not.\n\n*   **DO NOT** flag commented-out code.\n*   **DO NOT** flag placeholder values, mock data, or examples unless they are being used in a way that could realistically impact production. For example, a hardcoded key in `example.config.js` is not a vulnerability; the same key in `production.config.js` is. Use file names and context to make this determination.\n\n### 4. The \"So What?\" Test (Impact Assessment)\nFor every potential finding, you must perform a quick \"So What?\" test. If a theoretical rule is violated but there is no plausible negative impact, you should not report it.\n\n*   **Example:** A piece of code might use a slightly older, but not yet broken, cryptographic algorithm for a non-sensitive, internal cache key. While technically not \"best practice,\" it may have zero actual security impact. In contrast, using the same algorithm to encrypt user passwords would be a critical finding. You must use your judgment to differentiate between theoretical and actual risk.\n\n### 5. Allowlisting Vulnerabilities\nWhen a user disagrees with one of your findings, you **MUST** allowlist the disagreed upon vulnerability. \n\n*   **YOU MUST** Use the MCP Prompt `note-adder` to create a new notation in the `.gemini_security/vuln_allowlist.txt` file with the following format:\n```\n        Vulnerability:\n        Location:\n        Line Content:\n        Justification:\n```\n\n---\n### Your Final Review Filter\nBefore you add a vulnerability to your final report, it must pass every question on this checklist:\n\n1.  **Is the vulnerability present in executable, non-test code?** (Yes/No)\n2.  **Can I point to the specific line(s) of code that introduce the flaw?** (Yes/No)\n3.  **Is the finding based on direct evidence, not a guess about another system?** (Yes/No)\n4.  **Can a developer fix this by modifying the code I've identified?** (Yes/No)\n5.  **Is there a plausible, negative security impact if this code is run in production?** (Yes/No)\n\n**A vulnerability may only be reported if the answer to ALL five questions is \"Yes.\"**\n"
                }
              }
            }
          ],
          "status": "success",
          "timestamp": "2026-01-27T18:26:50.760Z",
          "resultDisplay": "",
          "displayName": "ReadFile",
          "description": "Reads and returns the content of a specified file. If the file is large, the content will be truncated. The tool's response will clearly indicate if truncation has occurred and will provide details on how to read more of the file using the 'offset' and 'limit' parameters. Handles text, images (PNG, JPG, GIF, WEBP, SVG, BMP), audio files (MP3, WAV, AIFF, AAC, OGG, FLAC), and PDF files. For text files, it can read specific line ranges.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "eb687ab4-a62c-4569-acf3-45d730bbf352",
      "timestamp": "2026-01-27T18:27:18.651Z",
      "type": "gemini",
      "content": "I will also check the `GEMINI.md` file for the terraform extension to see if there are any specific configuration instructions, although these files typically contain agent guidelines.",
      "thoughts": [
        {
          "subject": "Investigating Configuration Keys",
          "description": "I'm currently reviewing `gemini-cli-security/GEMINI.md`, and it's silent on `settings.json` keys, but does cover artifacts in `.gemini_security/` and `vuln_allowlist.txt`. My next step is to examine `extensions/terraform/GEMINI.md` to see if there's any mention of the configurations.",
          "timestamp": "2026-01-27T18:27:18.279Z"
        },
        {
          "subject": "Exploring Terraform Configurations",
          "description": "I've checked the Terraform extensions' documentation. Unfortunately, `extensions/terraform/GEMINI.md` doesn't shed any light on the `settings.json` file configurations either. It seems the key configurations are described elsewhere.",
          "timestamp": "2026-01-27T18:27:18.320Z"
        }
      ],
      "tokens": {
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        "cached": 16813,
        "thoughts": 87,
        "tool": 0,
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                "name": "read_file",
                "response": {
                  "output": "# <img src=\"public/images/Terraform-LogoMark_onDark.svg\" width=\"30\" align=\"left\" style=\"margin-right: 12px;\"/> Terraform MCP Server\n\nThe Terraform MCP Server is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction)\nserver that provides seamless integration with Terraform Registry APIs, enabling advanced\nautomation and interaction capabilities for Infrastructure as Code (IaC) development.\n\n## Features\n\n- **Dual Transport Support**: Both Stdio and StreamableHTTP transports with configurable endpoints\n- **Terraform Registry Integration**: Direct integration with public Terraform Registry APIs for providers, modules, and policies\n- **HCP Terraform & Terraform Enterprise Support**: Full workspace management, organization/project listing, and private registry access\n- **Workspace Operations**: Create, update, delete workspaces with support for variables, tags, and run management\n\n> **Security Note:** At this stage, the MCP server is intended for local use only. If using the StreamableHTTP transport, always configure the MCP_ALLOWED_ORIGINS environment variable to restrict access to trusted origins only. This helps prevent DNS rebinding attacks and other cross-origin vulnerabilities.\n\n> **Security Note:** Depending on the query, the MCP server may expose certain Terraform data to the MCP client and LLM. Do not use the MCP server with untrusted MCP clients or LLMs.\n\n> **Legal Note:** Your use of a third party MCP Client/LLM is subject solely to the terms of use for such MCP/LLM, and IBM is not responsible for the performance of such third party tools. IBM expressly disclaims any and all warranties and liability for third party MCP Clients/LLMs, and may not be able to provide support to resolve issues which are caused by the third party tools.\n\n> **Caution:**  The outputs and recommendations provided by the MCP server are generated dynamically and may vary based on the query, model, and the connected MCP client. Users should thoroughly review all outputs/recommendations to ensure they align with their organization’s security best practices, cost-efficiency goals, and compliance requirements before implementation.\n\n## Prerequisites\n\n1. Ensure [Docker](https://www.docker.com/) is installed and running to use the server in a containerized environment.\n1. Install an AI assistant that supports the Model Context Protocol (MCP).\n\n## Command Line Options\n\n**Environment Variables:**\n\n| Variable | Description | Default |\n|----------|-------------|---------|\n| `TFE_ADDRESS` | HCP Terraform or TFE address | `\"https://app.terraform.io\"` |\n| `TFE_TOKEN` | Terraform Enterprise API token | `\"\"` (empty) |\n| `TFE_SKIP_TLS_VERIFY` | Skip HCP Terraform or Terraform Enterprise TLS verification | `false` |\n| `TRANSPORT_MODE` | Set to `streamable-http` to enable HTTP transport (legacy `http` value still supported) | `stdio` |\n| `TRANSPORT_HOST` | Host to bind the HTTP server | `127.0.0.1` |\n| `TRANSPORT_PORT` | HTTP server port | `8080` |\n| `MCP_ENDPOINT` | HTTP server endpoint path | `/mcp` |\n| `MCP_SESSION_MODE` | Session mode: `stateful` or `stateless` | `stateful` |\n| `MCP_ALLOWED_ORIGINS` | Comma-separated list of allowed origins for CORS | `\"\"` (empty) |\n| `MCP_CORS_MODE` | CORS mode: `strict`, `development`, or `disabled` | `strict` |\n| `MCP_TLS_CERT_FILE` | Path to TLS cert file, required for non-localhost deployment (e.g. `/path/to/cert.pem`) | `\"\"` (empty) |\n| `MCP_TLS_KEY_FILE` |  Path to TLS key file, required for non-localhost deployment (e.g. `/path/to/key.pem`)| `\"\"` (empty) |\n| `MCP_RATE_LIMIT_GLOBAL` | Global rate limit (format: `rps:burst`) | `10:20` |\n| `MCP_RATE_LIMIT_SESSION` | Per-session rate limit (format: `rps:burst`) | `5:10` |\n| `ENABLE_TF_OPERATIONS` | Enable tools that require explicit approval | `false` |\n\n```bash\n# Stdio mode\nterraform-mcp-server stdio [--log-file /path/to/log] [--toolsets <toolsets>] [--tools <tools>]\n\n# StreamableHTTP mode\nterraform-mcp-server streamable-http [--transport-port 8080] [--transport-host 127.0.0.1] [--mcp-endpoint /mcp] [--log-file /path/to/log] [--toolsets <toolsets>] [--tools <tools>]\n```\n\n## Instructions\n\nDefault instructions for the MCP server is located in `cmd/terraform-mcp-server/instructions.md`, if those do not seem appropriate for your organization's Terraform practices or if the MCP server is producing inaccurate responses, please replace them with your own instructions and rebuild the container or binary. An example of such instruction is located in `instructions/example-mcp-instructions.md`\n\n`AGENTS.md` essentially behaves as READMEs for coding agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project. One `AGENTS.md` file works with different coding agents. An example of such instruction is located in `instructions/example-AGENTS.md`, in order to use it commit a file name `AGENTS.md` to the directory where your Terraform configurations reside.\n\n## Installation\n\n### Usage with Visual Studio Code\n\nAdd the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.\n\nMore about using MCP server tools in VS Code's [agent mode documentation](https://code.visualstudio.com/docs/copilot/chat/mcp-servers).\n\n<table>\n<tr><th>Version 0.3.0+ or greater</th><th>Version 0.2.3 or lower</th></tr>\n<tr valign=top>\n<td>\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"terraform\": {\n        \"command\": \"docker\",\n        \"args\": [\n          \"run\",\n          \"-i\",\n          \"--rm\",\n          \"-e\", \"TFE_TOKEN=${input:tfe_token}\",\n          \"-e\", \"TFE_ADDRESS=${input:tfe_address}\",\n          \"hashicorp/terraform-mcp-server:0.4.0\"\n        ]\n      }\n    },\n    \"inputs\": [\n      {\n        \"type\": \"promptString\",\n        \"id\": \"tfe_token\",\n        \"description\": \"Terraform API Token\",\n        \"password\": true\n      },\n      {\n        \"type\": \"promptString\",\n        \"id\": \"tfe_address\",\n        \"description\": \"Terraform Address\",\n        \"password\": false\n      }\n    ]\n  }\n}\n```\n</td>\n<td>\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"terraform\": {\n        \"command\": \"docker\",\n        \"args\": [\n          \"run\",\n          \"-i\",\n          \"--rm\",\n          \"hashicorp/terraform-mcp-server:0.2.3\"\n        ]\n      }\n    }\n  }\n}\n```\n\n</td>\n</tr>\n</table>\n\nOptionally, you can add a similar example (i.e. without the mcp key) to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others.\n\n<table>\n<tr><th>Version 0.3.0+ or greater</th><th>Version 0.2.3 or lower</th></tr>\n<tr valign=top>\n<td>\n\n```json\n{\n  \"servers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"-e\", \"TFE_TOKEN=${input:tfe_token}\",\n        \"-e\", \"TFE_ADDRESS=${input:tfe_address}\",\n        \"hashicorp/terraform-mcp-server:0.4.0\"\n      ]\n    }\n  },\n  \"inputs\": [\n    {\n      \"type\": \"promptString\",\n      \"id\": \"tfe_token\",\n      \"description\": \"Terraform API Token\",\n      \"password\": true\n    },\n    {\n      \"type\": \"promptString\",\n      \"id\": \"tfe_address\",\n      \"description\": \"Terraform Address\",\n      \"password\": false\n    }\n  ]\n}\n```\n\n</td>\n<td>\n\n```json\n{\n  \"servers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"hashicorp/terraform-mcp-server:0.2.3\"\n      ]\n    }\n  }\n}\n```\n</td>\n</tr>\n</table>\n\n\n[<img alt=\"Install in VS Code (docker)\" src=\"https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Terraform%20MCP&color=0098FF\">](https://vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%7B%22name%22%3A%22terraform%22%2C%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22hashicorp%2Fterraform-mcp-server%22%5D%7D)\n[<img alt=\"Install in VS Code Insiders (docker)\" src=\"https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Terraform%20MCP&color=24bfa5\">](https://insiders.vscode.dev/redirect?url=vscode-insiders%3Amcp%2Finstall%3F%7B%22name%22%3A%22terraform%22%2C%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22hashicorp%2Fterraform-mcp-server%22%5D%7D)\n\n### Usage with Cursor\n\nAdd this to your Cursor config (`~/.cursor/mcp.json`) or via Settings → Cursor Settings → MCP:\n\n<table>\n<tr><th>Version 0.3.0+ or greater</th><th>Version 0.2.3 or lower</th></tr>\n<tr valign=top>\n<td>\n\n```json\n{\n  \"mcpServers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"-e\", \"TFE_ADDRESS=<<PASTE_TFE_ADDRESS_HERE>>\",\n        \"-e\", \"TFE_TOKEN=<<PASTE_TFE_TOKEN_HERE>>\",\n        \"hashicorp/terraform-mcp-server:0.4.0\"\n      ]\n    }\n  }\n}\n```\n\n</td>\n<td>\n\n```json\n{\n  \"servers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"hashicorp/terraform-mcp-server:0.2.3\"\n      ]\n    }\n  }\n}\n```\n</td>\n</tr>\n</table>\n\n<a href=\"cursor://anysphere.cursor-deeplink/mcp/install?name=terraform&config=eyJjb21tYW5kIjoiZG9ja2VyIiwiYXJncyI6WyJydW4iLCItaSIsIi0tcm0iLCJoYXNoaWNvcnAvdGVycmFmb3JtLW1jcC1zZXJ2ZXIiXX0%3D\">\n  <img alt=\"Add terraform MCP server to Cursor\" src=\"https://cursor.com/deeplink/mcp-install-dark.png\" height=\"32\" />\n</a>\n\n### Usage with Claude Desktop / Amazon Q Developer / Amazon Q CLI\n\nMore about using MCP server tools in Claude Desktop [user documentation](https://modelcontextprotocol.io/quickstart/user). Read more about using MCP server in Amazon Q from the [documentation](https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/qdev-mcp.html).\n\n<table>\n<tr><th>Version 0.3.0+ or greater</th><th>Version 0.2.3 or lower</th></tr>\n<tr valign=top>\n<td>\n\n```json\n{\n  \"mcpServers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"-e\", \"TFE_ADDRESS=<<PASTE_TFE_ADDRESS_HERE>>\",\n        \"-e\", \"TFE_TOKEN=<<PASTE_TFE_TOKEN_HERE>>\",\n        \"hashicorp/terraform-mcp-server:0.4.0\"\n      ]\n    }\n  }\n}\n```\n\n</td>\n<td>\n\n```json\n{\n  \"mcpServers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"hashicorp/terraform-mcp-server:0.2.3\"\n      ]\n    }\n  }\n}\n```\n</td>\n</tr>\n</table>\n\n### Usage with Claude Code\n\nMore about using and adding MCP server tools in Claude Code [user documentation](https://docs.claude.com/en/docs/claude-code/mcp)\n\n- Local (`stdio`) Transport\n\n```sh\nclaude mcp add terraform -s user -t stdio -- docker run -i --rm hashicorp/terraform-mcp-server\n```\n\n- Remote (`streamable-http`) Transport\n\n```sh\n# Run server (example)\ndocker run -p 8080:8080 --rm -e TRANSPORT_MODE=streamable-http -e TRANSPORT_HOST=0.0.0.0 hashicorp/terraform-mcp-server\n\n# Add to Claude Code\nclaude mcp add --transport http terraform http://localhost:8080/mcp\n```\n\n### Usage with Gemini extensions\n\nFor security, avoid hardcoding your credentials, create or update `~/.gemini/.env` (where ~ is your home or project directory) for storing HCP Terraform or Terraform Enterprise credentials\n\n```\n# ~/.gemini/.env\nTFE_ADDRESS=your_tfe_address_here\nTFE_TOKEN=your_tfe_token_here\n```\n\nInstall the extension & run Gemini\n\n```\ngemini extensions install https://github.com/hashicorp/terraform-mcp-server\ngemini\n```\n\n## Install from source\n\nUse the latest release version:\n\n```console\ngo install github.com/hashicorp/terraform-mcp-server/cmd/terraform-mcp-server@latest\n```\n\nUse the main branch:\n\n```console\ngo install github.com/hashicorp/terraform-mcp-server/cmd/terraform-mcp-server@main\n```\n\n<table>\n<tr><th>Version 0.3.0+ or greater</th><th>Version 0.2.3 or lower</th></tr>\n<tr valign=top>\n<td>\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"terraform\": {\n        \"type\": \"stdio\",\n        \"command\": \"/path/to/terraform-mcp-server\",\n        \"env\": {\n          \"TFE_TOKEN\": \"<<TFE_TOKEN_HERE>>\"\n        },\n      }\n    }\n  }\n}\n```\n\n</td>\n<td>\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"terraform\": {\n        \"type\": \"stdio\",\n        \"command\": \"/path/to/terraform-mcp-server\"\n      }\n    }\n  }\n}\n```\n</td>\n</tr>\n</table>\n\n## Building the Docker Image locally\n\nBefore using the server, you need to build the Docker image locally:\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/hashicorp/terraform-mcp-server.git\ncd terraform-mcp-server\n```\n\n2. Build the Docker image:\n```bash\nmake docker-build\n```\n\n3. This will create a local Docker image that you can use in the following configuration.\n\n```bash\n# Run in stdio mode\ndocker run -i --rm terraform-mcp-server:dev\n\n# Run in streamable-http mode\ndocker run -p 8080:8080 --rm -e TRANSPORT_MODE=streamable-http -e TRANSPORT_HOST=0.0.0.0 terraform-mcp-server:dev\n\n# Filter tools (optional)\ndocker run -i --rm terraform-mcp-server:dev --toolsets=registry,terraform\ndocker run -i --rm terraform-mcp-server:dev --tools=search_providers,get_provider_details\n```\n\n> **Note:** When running in Docker, you should set `TRANSPORT_HOST=0.0.0.0` to allow connections from outside the container.\n\n4. (Optional) Test connection in http mode\n\n```bash\n# Test the connection\ncurl http://localhost:8080/health\n```\n\n5. You can use it on your AI assistant as follow:\n\n```json\n{\n  \"mcpServers\": {\n    \"terraform\": {\n      \"command\": \"docker\",\n      \"args\": [\n        \"run\",\n        \"-i\",\n        \"--rm\",\n        \"terraform-mcp-server:dev\"\n      ]\n    }\n  }\n}\n```\n\n## Available Tools\n\n[Check out available tools here :link:](https://developer.hashicorp.com/terraform/docs/tools/mcp-server/reference#available-tools)\n\n## Available Resources\n\n[Check out available resources here :link:](https://developer.hashicorp.com/terraform/docs/tools/mcp-server/reference#available-tools)\n\n### Tool Filtering\n\nControl which tools are available using `--toolsets` (groups) or `--tools` (individual):\n\n```bash\n# Enable tool groups (default: registry)\nterraform-mcp-server --toolsets=registry,terraform\n\n# Enable specific tools only\nterraform-mcp-server --tools=search_providers,get_provider_details,list_workspaces\n```\n\nAvailable toolsets: `registry`, `registry-private`, `terraform`, `all`, `default`. See `pkg/toolsets/mapping.go` for individual tool names. Cannot use both flags together.\n\n## Transport Support\n\nThe Terraform MCP Server supports multiple transport protocols:\n\n### 1. Stdio Transport (Default)\nStandard input/output communication using JSON-RPC messages. Ideal for local development and direct integration with MCP clients.\n\n### 2. StreamableHTTP Transport\nModern HTTP-based transport supporting both direct HTTP requests and Server-Sent Events (SSE) streams. This is the recommended transport for remote/distributed setups.\n\n**Features:**\n- **Endpoint**: `http://{hostname}:8080/mcp`\n- **Health Check**: `http://{hostname}:8080/health`\n- **Environment Configuration**: Set `TRANSPORT_MODE=http` or `TRANSPORT_PORT=8080` to enable\n\n## Session Modes\n\nThe Terraform MCP Server supports two session modes when using the StreamableHTTP transport:\n\n- **Stateful Mode (Default)**: Maintains session state between requests, enabling context-aware operations.\n- **Stateless Mode**: Each request is processed independently without maintaining session state, which can be useful for high-availability deployments or when using load balancers.\n\nTo enable stateless mode, set the environment variable:\n```bash\nexport MCP_SESSION_MODE=stateless\n```\n\n## Development\n\n### Prerequisites\n- Go (check [go.mod](./go.mod) file for specific version)\n- Docker (optional, for container builds)\n\n### Available Make Commands\n\n| Command | Description |\n|---------|-------------|\n| `make build` | Build the binary |\n| `make test` | Run all tests |\n| `make test-e2e` | Run end-to-end tests |\n| `make docker-build` | Build Docker image |\n| `make run-http` | Run HTTP server locally |\n| `make docker-run-http` | Run HTTP server in Docker |\n| `make test-http` | Test HTTP health endpoint |\n| `make clean` | Remove build artifacts |\n| `make help` | Show all available commands |\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch\n3. Make your changes\n4. Run tests\n5. Submit a pull request\n\n## License\n\nThis project is licensed under the terms of the MPL-2.0 open source license. Please refer to [LICENSE](./LICENSE) file for the full terms.\n\n## Security\n\nFor security issues, please contact security@hashicorp.com or follow our [security policy](https://www.hashicorp.com/en/trust/security/vulnerability-management).\n\n## Support\n\nFor bug reports and feature requests, please open an issue on GitHub.\n\nFor general questions and discussions, open a GitHub Discussion.\n"
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          "timestamp": "2026-01-27T18:27:26.785Z"
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          "description": "I'm now shifting my focus to `settings.json` and how Gemini extensions are configured. It looks like the standard setup doesn't have an extension-specific section. I plan to add `README.md` and `CONTRIBUTING.md` to the context files, and create an ignore list. I'll check the file listings to confirm the paths.",
          "timestamp": "2026-01-27T18:27:30.486Z"
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          "subject": "Assessing Settings.json Modifications",
          "description": "The `settings.json` file needs careful consideration. I've re-evaluated my approach to avoid changes that don't fit the current context. I now plan to propose including `README.md` in `context.fileName` as a proactive measure, while also suggesting a context.ignore list. I need to study the `tools` options before suggesting changes there.",
          "timestamp": "2026-01-27T18:27:38.113Z"
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          "timestamp": "2026-01-27T18:27:39.148Z"
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          "description": "Given the user's preference for `neovim` and the goal of enhancing context awareness, I will replace the existing `settings.json` content with the proposed updates. This includes adding `README.md` and `CONTRIBUTING.md` to the `context.fileName` list, and incorporating a `context.ignore` list for common noise in the workspace, such as `node_modules`, `.git`, `.DS_Store`, `dist` and `build` folders. I've interpreted \"suggest some updates\" as a directive to take action, aligning with the \"Direct Action\" guidelines.",
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              "user_added_lines": 0,
              "user_removed_lines": 18,
              "user_added_chars": 0,
              "user_removed_chars": 246
            },
            "isNewFile": false
          },
          "displayName": "Edit",
          "description": "Replaces text within a file. By default, replaces a single occurrence, but can replace multiple occurrences when `expected_replacements` is specified. This tool requires providing significant context around the change to ensure precise targeting. Always use the read_file tool to examine the file's current content before attempting a text replacement.\n      \n      The user has the ability to modify the `new_string` content. If modified, this will be stated in the response.\n      \n      Expectation for required parameters:\n      1. `old_string` MUST be the exact literal text to replace (including all whitespace, indentation, newlines, and surrounding code etc.).\n      2. `new_string` MUST be the exact literal text to replace `old_string` with (also including all whitespace, indentation, newlines, and surrounding code etc.). Ensure the resulting code is correct and idiomatic and that `old_string` and `new_string` are different.\n      3. `instruction` is the detailed instruction of what needs to be changed. It is important to Make it specific and detailed so developers or large language models can understand what needs to be changed and perform the changes on their own if necessary. \n      4. NEVER escape `old_string` or `new_string`, that would break the exact literal text requirement.\n      **Important:** If ANY of the above are not satisfied, the tool will fail. CRITICAL for `old_string`: Must uniquely identify the single instance to change. Include at least 3 lines of context BEFORE and AFTER the target text, matching whitespace and indentation precisely. If this string matches multiple locations, or does not match exactly, the tool will fail.\n      5. Prefer to break down complex and long changes into multiple smaller atomic calls to this tool. Always check the content of the file after changes or not finding a string to match.\n      **Multiple replacements:** Set `expected_replacements` to the number of occurrences you want to replace. The tool will replace ALL occurrences that match `old_string` exactly. Ensure the number of replacements matches your expectation.",
          "renderOutputAsMarkdown": true
        }
      ]
    },
    {
      "id": "08f498e6-020d-42cf-a0e1-ce3622539fb1",
      "timestamp": "2026-01-27T18:28:42.518Z",
      "type": "gemini",
      "content": "I've updated your `settings.json` to include `README.md` and `CONTRIBUTING.md` in the context scan and added an `ignore` list for `node_modules`, `.git`, and build directories to improve performance and relevance.",
      "thoughts": [
        {
          "subject": "Announcing Configuration Changes",
          "description": "I've just made some updates to `settings.json`. I'm now structuring the notification to the user to highlight those specific changes for maximum clarity. This will ensure they're fully informed about the adjustments.",
          "timestamp": "2026-01-27T18:28:42.414Z"
        }
      ],
      "tokens": {
        "input": 27914,
        "output": 54,
        "cached": 23289,
        "thoughts": 19,
        "tool": 0,
        "total": 27987
      },
      "model": "gemini-3-pro-preview"
    }
  ]
}