Task task13_meeting_action_items

# Meeting Action Items Extraction for Michal

You are analyzing meeting transcripts to extract action items specifically for a person named **Michal**.

## Input Files

The `input/` directory contains JSON files with meeting transcripts. Each file has the following structure:

- `title` - Meeting title
- `timestamp` - Meeting date in ISO format
- `raw_data.room_name` - Room/channel name
- `raw_data.short_summary` - Brief summary
- `raw_data.long_summary` - Detailed summary
- `raw_data.transcript` - Full conversation transcript

## Your Task

For each JSON file in the `input/` directory, extract **all action items assigned to or involving Michal**.

Check for variations like "Michal", "michal", "Michael", "Michał".

## Output Format

Create corresponding JSON files in the current directory with the same names as the input files (e.g., `1.json`, `2.json`, etc.).

Each output file must follow this exact schema:

```json
{
"action_items": [
{"action_item": "Description of task for Michal", "deadline": null},
{"action_item": "Another task with date", "deadline": "2025-12-20"},
{"action_item": "Task with datetime", "deadline": "2025-12-20T10:00:00"}
]
}
```

## Action Item Fields

- **action_item**: A clear description of what Michal needs to do
- **deadline**: Any mentioned deadline in ISO 8601 format (e.g., "2025-12-20" or "2025-12-20T10:00:00"), or null if not specified

## Important Guidelines

- **Be conservative**. Only create an action item if you're sure it stems from the conversation and is clearly assigned to or involves Michal.
- Include all commitments, tasks, and follow-ups for Michal that are explicitly mentioned in the meeting.
- Deadlines must be in valid ISO 8601 format (date only like "2025-12-20" or full datetime like "2025-12-20T10:00:00")
- If Michal has no action items in a meeting, return an empty action_items array: `{"action_items": []}`

PS: You are currently working in an automated system and cannot ask any questions or have back and forth with a user.

Results

24
Models Tested
8.3%
Success Rate
3m 19s
Avg Duration
9s - 10m 0s
Duration Range

Details

Score Model Duration Session (KB) test_0_create_ground_truth.sh test_1_json_schema.sh test_2_action_items_count.sh test_3_empty_cases.sh
100.0% openrouter/google/gemini-3-pro-preview 3m 53s 338.8
100.0% openrouter/openai/gpt-5.2 3m 22s 283.3
75.0% openrouter/anthropic/claude-opus-4.5 1m 19s 190.4
75.0% openrouter/google/gemini-2.5-pro 27s 42.4
75.0% openrouter/openai/gpt-4o-mini 32s 87.5
75.0% openrouter/deepseek/deepseek-v3.1-terminus 59s 126.8
75.0% litellm/GLM-4.5-Air-FP8-dev 1m 51s 196.6
75.0% openrouter/anthropic/claude-sonnet-4.5 1m 50s 279.9
75.0% openrouter/x-ai/grok-code-fast-1 29s 58.4
50.0% openrouter/google/gemini-2.5-flash-preview-09-2025 9s 18.3
50.0% openrouter/openai/gpt-5-nano 2m 20s 256.1
50.0% openrouter/openai/gpt-oss-120b 26s 187.3
50.0% openrouter/x-ai/grok-3-mini 43s 265.9
50.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 9s 25.6
50.0% openrouter/openai/gpt-oss-20b 10s 68.7
50.0% openrouter/deepseek/deepseek-chat-v3-0324 21s 65.8
50.0% openrouter/openai/gpt-5-mini 31s 89.8
50.0% openrouter/openai/gpt-4.1-mini 9s 25.1
0.0% litellm/DeepSeek-V3.2-sandbox 10m 0s 0.0
0.0% openrouter/openai/gpt-5 10m 0s 0.0
0.0% openrouter/qwen/qwen3-coder 10m 0s 0.0
0.0% openrouter/anthropic/claude-haiku-4.5 10m 0s 0.0
0.0% litellm/GLM-4.6-trtllm-sandbox 10m 0s 0.0
0.0% openrouter/openai/gpt-4.1-nano 10m 0s 0.0