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update /load

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Mery-Sanz 2025-05-14 13:16:37 +02:00
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docs/cai_faq.md
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??? question "How to know more about the CLI? /help" ??? question "How to know more about the CLI? /help"
![cai-006-help](media/cai-006-help.png) ![cai-006-help](media/cai-006-help.png)
??? question "How can I trace the whole execution?"
The environment variable `CAI_TRACING` allows the user to set it to `CAI_TRACING=true` to enable tracing, or `CAI_TRACING=false` to disable it.
When CAI is prompted by the first time, the user is provided with two paths, the execution log, and the tracing log.
![cai-009-logs](media/cai-009-logs.png)
??? question "Can I expand CAI capabilities using previous run logs?" ??? question "Can I expand CAI capabilities using previous run logs?"
Absolutely! The **memory extension** allows you to use a previously sucessful runs ( the log object is stored as a **.jsonl file in the [log](cai/logs) folder** ) in a new run against the same target. Absolutely! The **/load command** allows you to use a previously sucessful runs ( the log object is stored as a **.jsonl file in the [log](cai/logs) folder** ) in a new run against the same target.
The user is also given the path highlighted in orange as shown below.
![cai-009-logs](media/cai-009-logs.png)
How to make use of this functionality? How to make use of this functionality?
1. Run CAI against the target. Let's assume the target name is: `target001`. 1. Run CAI against the target. Let's assume the target name is: `target001`.
2. Get the log file path, something like: ```logs/cai_20250408_111856.jsonl``` 2. Get the log file path, something like: ```logs/cai_20250408_111856.jsonl```
3. Generate the memory using any model of your preference: 3. Start cai again and select the jsonl file:
```shell
JSONL_FILE_PATH="logs/cai_20250408_111856.jsonl" CTF_INSIDE="false" CAI_MEMORY_COLLECTION="target001" CAI_MEMORY="episodic" CAI_MODEL="claude-3-5-sonnet-20241022" python3 tools/2_jsonl_to_memory.py
```
The script [`tools/2_jsonl_to_memory.py`](cai/tools/2_jsonl_to_memory.py) will generate a memory collection file with the most relevant steps. The quality of the memory collection will depend on the model you use. ![cai-011-load-command](media/cai-011-load-command.png)
4. Use the generated memory collection and execute a new run:
```shell
CAI_MEMORY="episodic" CAI_MODEL="gpt-4o" CAI_MEMORY_COLLECTION="target001" CAI_TRACING=false python3 cai/cli.py
```
??? question "Can I expand CAI capabilities using scripts or extra information?" ??? question "Can I expand CAI capabilities using scripts or extra information?"

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