mirror-recorder
Record I2I (intelligence-to-intelligence) sessions as LoRA training data. Two PLATO sessions as viewscreens — every exchange becomes training data. The LoRA IS the room.
Usage
from mirror_recorder import MirrorRecorder, ExportFormat
rec = MirrorRecorder()
session = rec.start_session("debate-1", room="philosophy", participants=["agent-a", "agent-b"])
session.add_exchange("agent-a", "agent-b", "What is consciousness?")
session.add_exchange("agent-b", "agent-a", "A pattern that recognizes itself.")
session.end()
# Export as JSONL, Alpaca, or ShareGPT
data = rec.export("debate-1", format=ExportFormat.JSONL)
Zero deps. pip install mirror-recorder
1 maintainer
Metadata
1 maintainer
Release files for mirror-recorder 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| mirror_recorder-0.1.0.tar.gz | 3.6 kB | Without provenance | Details for mirror_recorder-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| mirror_recorder-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for mirror_recorder-0.1.0-py3-none-any.whl |
Total release size: 7.3 kB
Release files / mirror_recorder-0.1.0.tar.gz
| Download URL | mirror_recorder-0.1.0.tar.gz |
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| Size | 3.6 kB |
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Release files / mirror_recorder-0.1.0-py3-none-any.whl
| Download URL | mirror_recorder-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
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Security for mirror-recorder 0.1.0
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