| Console |
July 6, 2026 |
- Added a Session Metrics view to every session page, rolling out to all organizations. Time-series panels show what your training and sampling traffic did over time — active sample requests, training utilization, and average training, sampling, and prefill throughput — with drag-to-zoom, a time-range picker, and a plain-language explanation of each metric.
- Added a Download Perfetto button to the session page that exports the full session timeline as a
.pftrace you can open at ui.perfetto.dev. The trace goes deeper than the console panels: per-request training and sampling spans, plus counter tracks for concurrency, throughput, per-request sizes, latency percentiles (p50/p90/p99), running totals, and rate-limit events. Re-exporting picks up new session activity. See the session metrics docs for details.
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| SDK 0.22.7 |
July 1, 2026 |
- Fixed
ServiceClient.create_training_client_from_state() not authenticating correctly when given a weights_access_token, which broke loading from checkpoints shared by another account.
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| SDK 0.22.6 |
June 26, 2026 |
- Added a
project_id filter to RestClient.list_training_runs(), so you no longer need to page through all runs to find a project's runs.
- Weights-info REST clients no longer create a session on construction.
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| SDK 0.22.4 |
June 24, 2026 |
ServiceClient now falls back to the TINKER_PROJECT_ID environment variable when no project_id argument is passed, mirroring TINKER_API_KEY.- Raised the default cap on in-flight sample requests from 1000 to 2000. The cap is now delivered via server client config; the server value overrides
max_connections while preserving your other retry settings.
- Raised the minimum
zstandard dependency to >=0.24.0 so the SDK installs cleanly on Python 3.14.
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| Cookbook 0.4.3 |
June 24, 2026 |
- Kimi K2 tokenizers are now loaded directly instead of via
AutoTokenizer, avoiding a tokenizer regression in some transformers releases (which are also excluded from the supported range).
- Distillation recipes were rerun and updated to target Qwen3.5 models, with refreshed configs and expected results.
- Tutorial 407 (RLHF pipeline) now uses a capped 40-step RL stage and documents expected runtime.
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| Console |
June 17, 2026 |
- Reorganized navigation around sessions: the Training Runs list is replaced by a Sessions list (session ID, created time, owner, project — with filtering and pagination), and each session page shows its training runs. Listing is index-backed, so large projects load much faster.
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| Cookbook 0.4.2 |
June 10, 2026 |
- Added a Nemotron Ultra renderer with model info and recommended-hyperparameter support, enabling Nemotron Ultra across cookbook training and sampling recipes.
- Improved
tinker_cookbook.scripts.copy_checkpoint with destination-project support and simpler source-access-token handling for cross-organization copies.
- Added
tinker_cookbook.scripts.save_audit_log to archive audit log events as per-day JSONL files, with one-shot, backfill, and recurring polling modes.
- Added token- and wall-clock-based checkpoint cadence options (
save_every_tokens, save_every_seconds) to supervised training and CheckpointManager.
- Recipe entrypoints now tag Tinker runs with the recipe name and cookbook revision, making recipe-launched jobs easier to trace.
- Migrated all tutorial series and the cookbook recipes off the models retired on June 12, 2026, alongside fixes for SDK API drift and a GRPO grouping fix in the abstractions tutorials.
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| SDK 0.22.3 |
May 31, 2026 |
- Added
RetryConfig.enable_stuck_detection (default true) to control whether the client raises APIConnectionError when requests stop making progress.
- Fixed
tinker checkpoint delete -y tinker://... failing to parse explicit checkpoint paths.
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| SDK 0.22.2 |
May 28, 2026 |
- Fixed checkpoint archive downloads that could hang after the signed-URL redirect on the new HTTP transport.
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| SDK 0.22.1 |
May 27, 2026 |
TensorData now copies non-writable NumPy inputs at construction, eliminating PyTorch's "given NumPy array is not writable" warning from to_torch().tinker checkpoint download and push-hf now retry transient connection failures.forward_backward uploads can be zstd-compressed (rolled out server-side; payloads shrink roughly 3x or more).
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| SDK 0.22.0 |
May 22, 2026 |
- Added
RestClient.assign_session_project() and assign_session_project_async() to move an existing session — with all of its training runs and samplers — into a project. Note that a session cannot be moved out of a project once placed.
- The SDK's HTTP client now uses the pyqwest transport (a Rust reqwest/hyper-based backend for httpx) by default.
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| SDK 0.21.0 |
May 19, 2026 |
- Sampling requests keep a stable request ID across submission retries (sampling is idempotent on the backend), making retries more reliable.
- Updated the pinned
moonshotai/Kimi-K2.6 tokenizer revision to keep client-side tokenization consistent with the serving backend.
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| Cookbook 0.4.1 |
May 12, 2026 |
- Fixed Kimi K2.6 tokenizer loading by pinning to the fast-tokenizer revision.
- Fixed
get_lora_param_count() for models with per-component LoRA parameter tables.
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| Cookbook 0.4.0 |
May 8, 2026 |
- Added renderer and model-info support for Kimi K2.6, Qwen3.6 variants, and Nemotron-3 Super low-thinking mode.
- Added
tinker_cookbook.scripts.copy_checkpoint for copying trainable Tinker checkpoints into another authenticated account.
- Unified checkpoint handling across training loops and added fire-and-forget periodic checkpoint saves for supervised training.
- Improved supervised training throughput with additional runahead, and normalized SFT example weights for more consistent gradient magnitudes.
Renderer.parse_response() now returns ParseTermination instead of a boolean, distinguishing clean EOS from malformed parses and fixing base-model single-turn evals that were incorrectly scored as failed parses.- Improved the TextArena tic-tac-toe self-play recipe and added a playable CLI.
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