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2 days ago
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anomalyco
anomalyco
Amazon Bedrock Kimi2 Thinking output
Description
I think there is something wrong with the parsing when I use amazon bedrock kimi2 thinking model. As you can see in the picture, some thing is just displaying plain text, not formatted markdown. also here and there html look like tags
I'll analyze the Terraform codebase for this AWS IAM identity infrastructure project. Let me start by reading all the relevant files. <|tool_call_begin|> functions.read:0 <|tool_call_argument_begin|> {"filePath": "my-file-path"} <|tool_call_end|> <|tool_call_begin|> functions.read:1 <|tool_call_argument_begin|> {"filePath": "my-file-path"} <|tool_call_end|> <|tool_call_begin|> functions.read:2 <|tool_call_argument_begin|> {"filePath": "my-file-path"} <|tool_call_end|> <|tool_call_begin|> functions.read:3 <|tool_call_argument_begin|> {"filePath": "my-file-path"} <|tool_call_end|> <|tool_call_begin|> functions.read:4 <|tool_call_argument_begin|> {"filePath": "my-file-path"} <|tool_call_end|>
Let me also check if there are any Terraform lock files to understand what providers are being used: </think>
OpenCode version
1.0.162
Steps to reproduce
My prompt was "can you take a look the current codebase and provide me the places to refine?" in my infra repository with amazon bedrock kimi 2 thinking model
Screenshot and/or share link
Operating System
MacOS
Terminal
Alacritty
This issue might be related to existing output parsing problems:
- #5591: Quotes in code getting stripped in model output
- #4954: google/gemini-3-pro-preview output formatting went off the rails
- #4946: Syntax and highlights error
However, your issue appears specific to Amazon Bedrock's Kimi2 thinking model's special delimiters like <|tool_call_begin|> and <|tool_call_argument_begin|>. These thinking model tags may require special parsing logic.
Please check those issues first to see if any address your specific case, or confirm if this is unique to Kimi2's thinking model output format.
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}
can you share the session?
opencode export > session.json
@rekram1-node
{
"info": {
"id": "ses_4d8864e0affeYPRfAnD215Gx9v",
"version": "1.0.162",
"projectID": "4f4c1cd2a1d16235ec95c015ad6dff2ef99bd637",
"directory": "/Users/jiyeollee/dev/infra__iam-identity",
"title": "New session - 2025-12-16T14:04:05.493Z",
"time": {
"created": 1765893845493,
"updated": 1765893895359
},
"summary": {
"additions": 0,
"deletions": 0,
"files": 0
}
},
"messages": [
{
"info": {
"id": "msg_b2779b1f9001haQdhC2pbaOWgX",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"role": "user",
"time": {
"created": 1765893845502
},
"summary": {
"diffs": []
},
"agent": "primary/plan",
"model": {
"providerID": "amazon-bedrock",
"modelID": "moonshot.kimi-k2-thinking"
}
},
"parts": [
{
"id": "prt_b2779b1f9002r5YQQIVitvgndx",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b2779b1f9001haQdhC2pbaOWgX",
"type": "text",
"text": "can you take a look the current codebase and provide me the places to refine?"
}
]
},
{
"info": {
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"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"role": "assistant",
"time": {
"created": 1765893845508,
"completed": 1765893886702
},
"parentID": "msg_b2779b1f9001haQdhC2pbaOWgX",
"modelID": "moonshot.kimi-k2-thinking",
"providerID": "amazon-bedrock",
"mode": "primary/plan",
"agent": "primary/plan",
"path": {
"cwd": "/Users/jiyeollee/dev/infra__iam-identity",
"root": "/Users/jiyeollee/dev/infra__iam-identity"
},
"cost": 0.0056046,
"tokens": {
"input": 7641,
"output": 408,
"reasoning": 0,
"cache": {
"read": 0,
"write": 0
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},
"finish": "tool-calls"
},
"parts": [
{
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"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b2779b204001JfPYq9SJn856iY",
"type": "step-start",
"snapshot": "1a5bf32440d779825f30132a6ce873ea40c324a3"
},
{
"id": "prt_b2779b990001rZXp63Rd2qkRKo",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b2779b204001JfPYq9SJn856iY",
"type": "reasoning",
"text": " The user is asking me to review the current codebase and identify places to refine. This is a research task - I need to:\n\n1. Understand the current codebase structure\n2. Analyze the Terraform code to identify potential improvements, best practices violations, missing patterns, etc.\n3. Provide specific recommendations for refinement\n\nSince I'm the Plan Agent and I'm not supposed to read files directly, I should delegate this to the `@subagent/research` agent to gather information about the codebase.\n\nLet me implement the research flow:\n1. First, research the current code structure\n2. Then research best practices for Terraform configuration\n3. Finally, compile the findings into a plan or recommendations\n\nActually, looking at the files listed:\n- .gitignore\n- .terraform.lock.hcl\n- custom_policy.tf\n- main.tf\n- providers.tf\n- README.md\n- variables.tf\n\nThis appears to be a Terraform infrastructure project for AWS IAM Identity service. Let me research this systematically.",
"time": {
"start": 1765893847440,
"end": 1765893849863
}
},
{
"id": "prt_b2779c307001DMihIsclBK0qW7",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b2779b204001JfPYq9SJn856iY",
"type": "text",
"text": " I'll analyze the codebase to identify refinement opportunities. Let me research the current code structure and Terraform best practices.",
"time": {
"start": 1765893850164,
"end": 1765893850164
}
},
{
"id": "prt_b2779c435001bdrtxgtEeAjtZ7",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b2779b204001JfPYq9SJn856iY",
"type": "tool",
"callID": "tooluse_wnN73qmsR3i8nlUj6q0omQ",
"tool": "task",
"state": {
"status": "completed",
"input": {
"description": "Analyze Terraform codebase structure",
"prompt": "Research and analyze the current Terraform codebase for the aws-iam-identity infrastructure project. \n\nPlease perform the following analysis:\n1. Read all Terraform files (.tf files) - main.tf, providers.tf, variables.tf, custom_policy.tf\n2. Read the README.md to understand the project purpose\n3. Analyze the overall code structure and organization\n4. Identify potential areas for improvement including:\n - Code organization and modularity\n - Security best practices\n - Input/output patterns\n - Best practice violations\n - Missing configurations\n - Documentation gaps\n - Variable naming and consistency\n - Resource naming and tagging strategies\n\nReturn a comprehensive analysis with specific findings and recommendations for each file, organized by category of improvement.",
"subagent_type": "subagent/research"
},
"output": " Great! Now I have all the files. Let me provide a comprehensive analysis of this Terraform codebase focusing on the areas requested:\n\n1. Code organization and modularity\n2. Security best practices\n3. Input/output patterns\n4. Best practice violations\n5. Missing configurations\n6. Documentation gaps\n7. Variable naming and consistency\n8. Resource naming and tagging strategies\n\nLet me structure my analysis by categories and provide specific findings for each file. </think> Based on my comprehensive analysis of the Terraform codebase, here are my findings organized by category:\n\n## **Analysis Summary**\n\nThis is a well-structured AWS IAM Identity Center (SSO) Terraform module that creates users, groups, permission sets, and assignments. The code follows modern Terraform patterns but has several areas for improvement in security, documentation, and best practices.\n\n---\n\n## **1. Security Best Practices Issues**\n\n### **✗ CRITICAL: Hardcoded Sensitive Information**\n**File:** `main.tf` (lines 10-17)\n```hcl\nusers = {\n developer = {\n display_name = \"Jiyeol Lee\"\n user_name = \"jiyeol.lee\"\n given_name = \"Jiyeol\"\n family_name = \"Lee\"\n email = \"[email protected]\"\n }\n}\n```\n**Recommendation:** Move user data to variables or separate data files to avoid hardcoding PII in version control. Consider using a `.tfvars` file that's gitignored or fetching from a secrets manager.\n\n### **✗ HIGH: Overly Broad IAM Permissions**\n**File:** `custom_policy.tf` (lines 11-15, 20-22)\n```hcl\n# Bedrock statement uses wildcard in ARN\nresources = [\"arn:aws:bedrock:${var.region}::*\"]\n\n# Cost Explorer grants access to all resources\nresources = [\"*\"]\n```\n**Recommendations:**\n- Scope Bedrock permissions to specific model ARNs (e.g., specific model IDs)\n- Use least privilege for Cost Explorer - potentially restrict to specific cost categories or tags\n- Add conditions where possible\n\n### **✗ MEDIUM: Excessive Session Duration**\n**File:** `main.tf` (line 98)\n```hcl\nsession_duration = \"PT12H\" # 12 hours\n```\n**Recommendation:** Reduce to more secure duration (4-8 hours) unless business-critical. 12-hour sessions increase window for compromised credentials.\n\n---\n\n## **2. Code Organization and Modularity Issues**\n\n### **✗ HIGH: Multiple Local Blocks**\n**File:** `main.tf` (lines 5-72, 112-130)\n```hcl\nlocals {\n # First block with users, policies, permission_sets, groups\n}\n\n# Resources...\n\nlocals {\n # Second block with policy attachments\n}\n```\n**Recommendation:** Consolidate into a single locals block or separate into dedicated configuration files (e.g., `locals.tf`, `config.tf`).\n\n### **✗ MEDIUM: Single Monolithic File Structure**\n**Current Structure:**\n- All core logic in `main.tf` (175 lines)\n- Minimal separation of concerns\n\n**Recommendation:** Consider splitting into:\n- `users.tf` - User definitions and resources\n- `groups.tf` - Group definitions and memberships\n- `permission-sets.tf` - Permission sets and policy attachments\n- `assignments.tf` - Account assignments\n- `data.tf` - Data sources\n\n### **✓ GOOD: Use of Computed Locals for Complex Data**\n**File:** `main.tf` (lines 55-71)\n```hcl\ngroup_memberships = flatten([...])\ngroup_permission_assignments = flatten([...])\n```\nThis is an excellent pattern for handling complex many-to-many relationships.\n\n---\n\n## **3. Input/Output Patterns and Variables**\n\n### **✗ HIGH: Incomplete Variable Definitions**\n**File:** `variables.tf`\nOnly contains `region` variable, but the module accepts numerous implicit inputs through locals.\n\n**Recommendations:**\n1. Convert hardcoded values to variables with defaults:\n - Session duration\n - User definitions\n - Group definitions\n - Permission set configurations\n2. Add validation blocks for critical variables\n3. Provide comprehensive example `.tfvars` files\n\n### **✗ MEDIUM: No Output Definitions**\n**File:** Missing `outputs.tf`\nThe module provides no outputs, making it difficult for consumers to reference created resources.\n\n**Recommendations:** Add outputs for:\n```hcl\noutput \"sso_instance_arn\" { value = local.sso_instance_arn }\noutput \"identity_store_id\" { value = local.identity_store_id }\noutput \"user_ids\" { value = { for k, v in aws_identitystore_user.this : k => v.user_id } }\noutput \"group_ids\" { value = { for k, v in aws_identitystore_group.this : k => v.group_id } }\noutput \"permission_set_arns\" { value = { for k, v in aws_ssoadmin_permission_set.this : k => v.arn } }\n```\n\n---\n\n## **4. Resource Naming and Tagging Strategies**\n\n### **✗ MEDIUM: Inconsistent Naming Conventions**\n**Examples:**\n- `AdministratorAccess` (PascalCase with no prefix)\n- `DeveloperAccess` (PascalCase with no prefix)\n- `admin` / `developer` groups (lowercase)\n- User key: `developer` (lowercase)\n\n**Recommendation:** Adopt consistent naming:\n```hcl\n# For AWS resources: use lowercase with hyphens\nname = \"administrator-access\"\n\n# For Terraform keys: use consistent pattern\npermission_sets = {\n admin_access = { ... }\n developer_access = { ... }\n}\n```\n\n### **✗ MEDIUM: Minimal Tagging Strategy**\n**File:** `main.tf` (lines 99-101)\nOnly tags permission sets with `ManagedBy = \"Terraform\"`.\n\n**Recommendations:** Implement comprehensive tagging:\n```hcl\ntags = {\n ManagedBy = \"Terraform\"\n Environment = var.environment\n Project = var.project_name\n CostCenter = var.cost_center\n Owner = var.owner\n}\n```\n\n---\n\n## **5. Missing Configurations and Features**\n\n### **✗ HIGH: No Error Handling or Preconditions**\nThe module lacks:\n- `precondition` blocks in locals\n- `lifecycle` blocks for critical resources\n- `aws_ssoadmin_instance` data source validation\n\n**Recommendation:**\n```hcl\nlocals {\n sso_instance_arn = one(data.aws_ssoadmin_instances.this.arns)\n \n # Add validation\n validation_errors = [\n local.sso_instance_arn == null ? \"SSO instance not found\" : null,\n length(local.users) == 0 ? \"At least one user must be defined\" : null\n ]\n}\n\nresource \"aws_ssoadmin_permission_set\" \"this\" {\n lifecycle {\n prevent_destroy = true # For critical permission sets\n }\n}\n```\n\n### **✗ MEDIUM: No Backup/Recovery Configuration**\nMissing configuration for:\n- Permission set backup\n- User/group sync from identity source\n- Disaster recovery considerations\n\n### **✗ MEDIUM: No Monitoring or Logging**\nNo CloudTrail integration or access logging configuration for IAM Identity Center.\n\n---\n\n## **6. Documentation Gaps**\n\n### **✗ HIGH: Incomplete README.md**\n**Current State:** Only 14 lines with basic warnings\n\n**Missing Documentation:**\n- Module usage example\n- Input/variable descriptions\n- Output descriptions\n- Architecture diagram\n- Security considerations\n- Troubleshooting guide\n\n**Recommended Structure:**\n```\n# AWS IAM Identity Center Terraform Module\n\n## Overview\n[Current content + architecture description]\n\n## Prerequisites\n- AWS SSO enabled\n- S3 bucket for state\n- [Add more]\n\n## Usage\n```hcl\nmodule \"iam_identity\" {\n source = \"./path/to/module\"\n \n region = \"us-east-1\"\n users = var.users\n # ...\n}\n```\n\n## Inputs\n| Name | Description | Type | Default | Required |\n|------|-------------|------|---------|----------|\n| region | AWS region | string | us-east-1 | no |\n\n## Outputs\n[Table of outputs]\n\n## Security Considerations\n- Session duration settings\n- Permission scoping\n- MFA requirements\n[...]\n```\n\n### **✗ MEDIUM: No Code Comments**\nResources lack inline documentation explaining:\n- Purpose of each resource\n- Why particular configurations were chosen\n- Dependencies and relationships\n\n---\n\n## **7. Terraform Backend and State Management**\n\n### **✗ MEDIUM: Hardcoded Backend Configuration**\n**File:** `providers.tf` (lines 8-13)\n```hcl\nbackend \"s3\" {\n bucket = \"jiyeollee-tf-state\"\n key = \"iam_identity/terraform.tfstate\"\n region = \"us-east-1\"\n encrypt = true\n}\n```\n**Recommendations:**\n- Move to partial configuration via CLI or environment variables\n- Add DynamoDB for state locking\n- Consider versioned S3 bucket with MFA delete\n\n### **✓ GOOD: State Encryption Enabled**\n`encrypt = true` is properly configured in the S3 backend.\n\n---\n\n## **8. Provider Configuration**\n\n### **✗ LOW: Provider Version Constraints**\n**File:** `providers.tf` (line 18)\n```hcl\nversion = \"~> 6.0\"\n```\n**Recommendation:** Use more specific versioning:\n```hcl\nversion = \"~> 6.0, != 6.1.0\" # Example: exclude known buggy versions\n```\n\n### **✓ GOOD: Minimum Terraform Version Specified**\n`required_version = \">= 1.0.0\"` provides good baseline.\n\n---\n\n## **9. Best Practice Violations**\n\n### **✗ HIGH: Inline Policy Documents**\n**File:** `custom_policy.tf`\nUsing inline policy document instead of versioned policy file.\n\n**Recommendation:** \n- Store policy documents as separate `.json` files\n- Use `file()` function to load them\n- Version control policy changes explicitly\n\n### **✗ MEDIUM: Resource Name Collisions Risk**\n**File:** `main.tf` (line 106)\n```hcl\nname = each.key # Uses policy key directly\n```\n**Recommendation:** Add prefix/suffix to avoid naming conflicts:\n```hcl\nname = \"${var.policy_name_prefix}-${each.key}\"\n```\n\n### **✗ LOW: No Lifecycle Management**\nMissing lifecycle policies for:\n- Permission set updates\n- Policy version management\n- Resource replacement strategies\n\n---\n\n## **10. Project Structure Recommendations**\n\n### **Suggested Directory Structure:**\n```\n├── .gitignore\n├── README.md\n├── providers.tf\n├── variables.tf\n├── outputs.tf\n├── locals.tf\n├── versions.tf\n├── data.tf\n├── policies/\n│ ├── developer.json\n│ └── ...\n├── configs/\n│ ├── users.tfvars\n│ ├── groups.tfvars\n│ └── permission-sets.tfvars\n└── modules/\n └── [potential sub-modules]\n```\n\n---\n\n## **Priority Action Items**\n\n### **IMMEDIATE (Security Critical):**\n1. Remove hardcoded PII from `main.tf`\n2. Scope down IAM permissions in `custom_policy.tf`\n3. Reduce session duration from 12 hours\n\n### **HIGH PRIORITY:**\n4. Split monolithic `main.tf` into logical files\n5. Create comprehensive `variables.tf` and `outputs.tf`\n6. Enhance README.md with full documentation\n\n### **MEDIUM PRIORITY:**\n7. Implement consistent naming conventions\n8. Add comprehensive tagging strategy\n9. Add error handling and validation\n10. Store policies as external JSON files\n\n### **LOW PRIORITY:**\n11. Enhance provider version constraints\n12. Add lifecycle policies\n13. Implement monitoring/logging\n\n---\n\n## **Positive Aspects Worth Preserving**\n\n1. **Excellent use of `for_each` patterns** for scalability\n2. **Smart flattening techniques** for complex relationships\n3. **Modular data structure** in locals for easy configuration\n4. **Proper separation** of AWS-managed vs customer-managed policies\n5. **Clean dependency management** through implicit references\n\nThe codebase demonstrates solid Terraform fundamentals with room for enterprise-grade hardening and documentation improvements.\n\n<task_metadata>\nsession_id: ses_4d886339dffecrELX3QLgdBckL\n</task_metadata>",
"title": "Analyze Terraform codebase structure",
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"text": " Read the README.md to understand the project purpose\\n3. Analyze the overall code structure and organization\\n4. Identify potential areas for improvement including:\\n - Code organization and modularity\\n - Security best practices\\n - Input/output patterns\\n - Best practice violations\\n - Missing configurations\\n - Documentation gaps\\n - Variable naming and consistency\\n - Resource naming and tagging strategies\\n\\nReturn a comprehensive analysis with specific findings and recommendations for each file, organized by category of improvement.\", \"subagent_type\": \"subagent/research\"} <|tool_call_end|>",
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"providerID": "amazon-bedrock",
"mode": "primary/plan",
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"text": " The user is asking me to look at the current codebase and provide places to refine. This is a planning/analysis task. As the primary/plan agent, I should decompose this into research and then provide a comprehensive plan.\n\nI need to:\n1. First, read and analyze all the Terraform files\n2. Understand the project structure and purpose\n3. Identify areas for refinement across multiple categories (security, organization, best practices, etc.)\n4. Provide actionable recommendations\n\nSince this involves reading files and doing analysis, I should use the Task tool with `@subagent/research` to gather information. Then I can synthesize the findings and present them to the user.\n\nLet me delegate to the research agent to analyze the codebase. </think> I've completed a comprehensive analysis of your AWS IAM Identity Center Terraform codebase. The module is well-structured with good use of modern Terraform patterns, but there are several areas for improvement across security, organization, and best practices.\n\n## **Critical Issues Found:**\n\n1. **Security Risk**: Hardcoded PII (email, names) in `main.tf`\n2. **Overly Broad Permissions**: Wildcard ARNs in `custom_policy.tf`\n3. **Excessive Session Duration**: 12-hour sessions increase security risk window\n4. **Incomplete Variables**: Only 1 defined variable despite many hardcoded values\n5. **No Outputs**: Module lacks `outputs.tf`, reducing usability\n\n## **Key Recommendations:**\n\n### **Immediate Actions:**\n- Move user data to variables or external data files\n- Scope down IAM permissions with specific ARNs\n- Reduce session duration to 4-8 hours\n- Add comprehensive `outputs.tf` for resource references\n\n### **Structural Improvements:**\n- Split 175-line `main.tf` into logical files (users.tf, groups.tf, permission-sets.tf, assignments.tf)\n- Create single unified `locals` block or dedicated `locals.tf`\n- Implement consistent naming conventions across all resources\n- Add comprehensive tagging strategy\n\n### **Documentation:**\n- Expand README.md from 14 lines to full module documentation with usage examples\n- Add inline code comments explaining resource purposes\n- Create example `.tfvars` files\n\n### **Best Practices:**\n- Store custom policies as external JSON files instead of inline\n- Add validation blocks and preconditions\n- Implement lifecycle policies for critical resources\n- Update S3 backend to include DynamoDB locking\n\nThe analysis reveals a codebase with solid Terraform fundamentals that needs enterprise-grade hardening and documentation improvements to be production-ready.\n\n---\n\nWould you like me to create a detailed task plan to address these refinements, or would you prefer to focus on specific priority areas first?",
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{
"id": "prt_b277a74880014Y3HCw4LTaIYy4",
"sessionID": "ses_4d8864e0affeYPRfAnD215Gx9v",
"messageID": "msg_b277a52f0001zd1306BoEX9ZmJ",
"type": "step-finish",
"reason": "stop",
"snapshot": "1a5bf32440d779825f30132a6ce873ea40c324a3",
"cost": 0.0076712,
"tokens": {
"input": 10552,
"output": 536,
"reasoning": 0,
"cache": {
"read": 0,
"write": 0
}
}
}
]
}
]
}
I guess it's a provider's problem? I can see <|tool_call_end|> but I can't find any tool_call_start
Either they or us isn't handling interleaved thinking correct for kimi k2 thinking on bedrock, I thought they used anthropic compat so we shouldn't need to do anything but ill check
But I think this is just on their end
Either they or us isn't handling interleaved thinking correct for kimi k2 thinking on bedrock, I thought they used anthropic compat so we shouldn't need to do anything but ill check
But I think this is just on their end
Question about this, I saw that opencode zen supports kimi k2 thinking model. How does it handles? opencode zen has a middleware to parse like <|tool_call_end|>?
Nope, the provider is responsible for sending things in correct format, we do no special parsing for it