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Parametric learning in your code harness.
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Commits on main
Bring main up to date: machines, SDK, training, specialize, Pi sessions
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Mark Qwen3.8-27B as vision in the Tinker chat catalog.
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Remove Letta Code from main; keep Pi Tinker work on main.
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docs: add repository agent guide
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docs: preregister behavior release BR-001
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chore: release 0.3.0 v0.3.0
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ci: run example and package tests
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fix: provision Python in Tangled CI
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docs: update installation instructions
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feat: harden Project Euler agent training gates
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feat: add minimal-sft example with recorded run
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fix: headless report mirroring, sft --epochs, and Inkling eval tokenizer
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fix: preserve package metadata after rebase
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docs: record tool bootstrap gate results
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feat: support train-only language oversampling
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feat: expand tool bootstrap and add renderer proxy
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feat: add synthetic tool-use bootstrap SFT
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docs: record Qwen frontier training results
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feat: add read-only Tinker frontier evaluation
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docs: record Inkling strategy sweep
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feat: add multilingual Project Euler research example
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docs: install the Letta host as a regular re-export file
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feat: add a Letta Code host and store traces in ~/.machine
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ci: add Tangled Spindle workflow for the Node test suites
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docs: list CHANGELOG.md in the README file overview
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Merge fix/split-project-store: canonical project keys, shared lib, unit tests (#3mt3nwcdjfl22)
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refactor: extract shared helpers into lib/, add unit tests, 0.2.1 chores
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fix(storage): derive the project key from the canonical path
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Ignore local Letta worktrees.
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Separate observations from training judgments.
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Emit OpenAI-style tool_calls so Tinker can train on traces.
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Rename /machine ft to /machine student.
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Default /machine ft to the 256K Inkling-Small catalog entry.
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Add /machine work and /machine ft model lanes.
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Auto-save the last turn when a print or JSON run exits.
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Enable compact-boundary auto-trace by default.
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Rename /auto to /machine auto.
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Add /auto to save traces at compaction boundaries.
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Default /train to Inkling-Small.
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Use a local uv venv for /train Python.
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Stop tracking Python bytecode.
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Ignore Python bytecode.
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Add /train for SFT validate, scaffold, smoke, and eval.
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Add machine Pi extension for tagged trajectories.
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