tiles.run / tiles
A local-first private AI assistant for everyday use. Runs on-device models with encrypted P2P sync, and supports sharing chats publicly on ATProto.
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fix: updated mlx related pkgs + end condition for stopping model request loop

madclaws 8f68bfdd 4035eecb

+454 -243
+2 -2
server/pyproject.toml
··· 6 6 dependencies = [ 7 7 "fastapi", 8 8 "uvicorn", 9 - "mlx-lm", 9 + "mlx-lm==0.31.0", 10 10 "black", 11 - "huggingface-hub>=0.34.0", 11 + "huggingface-hub==1.8.0", 12 12 "openai-harmony==0.0.8", 13 13 "openresponses-types" 14 14 ]
+17 -10
server/stack/requirements/app-server/packages-app-server.txt
··· 1 1 # Package summary for app-server 2 2 # Auto-generated by venvstacks (DO NOT EDIT) 3 + annotated-doc==0.0.4 3 4 annotated-types==0.7.0 4 - anyio==4.12.1 5 + anyio==4.13.0 5 6 black==25.9.0 6 7 certifi==2026.2.25 7 - charset-normalizer==3.4.6 8 8 click==8.3.1 9 9 fastapi==0.119.0 10 10 filelock==3.25.2 11 - fsspec==2026.2.0 11 + fsspec==2026.3.0 12 12 h11==0.16.0 13 13 hf-xet==1.4.2 14 - huggingface-hub==0.35.0 14 + httpcore==1.0.9 15 + httpx==0.28.1 16 + huggingface-hub==1.8.0 15 17 idna==3.11 16 18 jinja2==3.1.6 19 + markdown-it-py==4.0.0 17 20 markupsafe==3.0.3 18 - mlx-lm==0.28.3 21 + mdurl==0.1.2 22 + mlx-lm==0.31.0 19 23 mypy-extensions==1.1.0 20 24 numpy==2.4.3 21 25 openai-harmony==0.0.8 ··· 26 30 protobuf==7.34.1 27 31 pydantic==2.12.5 28 32 pydantic-core==2.41.5 33 + pygments==2.19.2 29 34 pytokens==0.4.1 30 35 pyyaml==6.0.3 31 36 regex==2026.2.28 32 - requests==2.32.5 37 + rich==14.3.3 33 38 safetensors==0.7.0 39 + sentencepiece==0.2.1 40 + shellingham==1.5.4 34 41 starlette==0.48.0 35 42 tokenizers==0.22.2 36 43 tqdm==4.67.3 37 - transformers==4.57.6 44 + transformers==5.4.0 45 + typer==0.24.1 38 46 typing-extensions==4.15.0 39 47 typing-inspection==0.4.2 40 - urllib3==2.6.3 41 48 uvicorn==0.38.0 42 49 43 50 # Shared packages inherited from other layers 44 - mlx-metal==0.29.3 ; platform_machine == 'arm64' and sys_platform == 'darwin' 45 - mlx==0.29.3 ; platform_machine == 'arm64' and sys_platform == 'darwin' 51 + mlx-metal==0.31.1 ; platform_machine == 'arm64' and sys_platform == 'darwin' 52 + mlx==0.31.1 ; platform_machine == 'arm64' and sys_platform == 'darwin'
+3 -3
server/stack/requirements/app-server/pylock.app-server.meta.json
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+190 -83
server/stack/requirements/app-server/pylock.app-server.toml
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server/stack/requirements/app-server/requirements-app-server.in
··· 2 2 # Relock layer dependencies to update. 3 3 fastapi==0.119.0 4 4 uvicorn==0.38.0 5 - mlx-lm==0.28.3 5 + mlx-lm==0.31.0 6 6 black==25.9.0 7 - huggingface-hub==0.35.0 7 + huggingface-hub==1.8.0 8 8 openai-harmony==0.0.8 9 9 openresponses-types
+2 -2
server/stack/requirements/framework-mlx/packages-framework-mlx.txt
··· 1 1 # Package summary for framework-mlx 2 2 # Auto-generated by venvstacks (DO NOT EDIT) 3 - mlx==0.29.3 4 - mlx-metal==0.29.3 ; platform_machine == 'arm64' and sys_platform == 'darwin' 3 + mlx==0.31.1 4 + mlx-metal==0.31.1 ; platform_machine == 'arm64' and sys_platform == 'darwin'
+3 -3
server/stack/requirements/framework-mlx/pylock.framework-mlx.meta.json
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+30 -30
server/stack/requirements/framework-mlx/pylock.framework-mlx.toml
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+1 -1
server/stack/requirements/framework-mlx/requirements-framework-mlx.in
··· 1 1 # DO NOT EDIT. Automatically generated by venvstacks. 2 2 # Relock layer dependencies to update. 3 - mlx==0.29.3 3 + mlx==0.31.1
+3 -3
server/stack/venvstacks.toml
··· 14 14 linux_target = "glibc@2.35" 15 15 macosx_target = "14" 16 16 requirements = [ 17 - "mlx==0.29.3" 17 + "mlx==0.31.1" 18 18 ] 19 19 20 20 [[applications]] ··· 24 24 requirements = [ 25 25 "fastapi==0.119.0", 26 26 "uvicorn==0.38.0", 27 - "mlx-lm==0.28.3", 27 + "mlx-lm==0.31.0", 28 28 "black==25.9.0", 29 - "huggingface-hub==0.35.0", 29 + "huggingface-hub==1.8.0", 30 30 "openai-harmony==0.0.8", 31 31 "openresponses-types" 32 32 ]
+197 -104
server/uv.lock
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tiles/src/runtime/mlx.rs
··· 550 550 } 551 551 552 552 fn extract_reply(content: &str, memory_mode: bool) -> String { 553 + println!("{}", content); 553 554 if !memory_mode && content.contains("**[Answer]**") { 554 555 let list_a = content.split("**[Answer]**").collect::<Vec<&str>>(); 555 556 list_a[1].to_owned() 557 + } else if !memory_mode { 558 + // NOTE: A hack to prevent loop when we dont receive above repli format 559 + "END".to_owned() 556 560 } else if content.contains("<reply>") && content.contains("</reply>") { 557 561 let list_a = content.split("<reply>").collect::<Vec<&str>>(); 558 562 let list_b = list_a[1].split("</reply>").collect::<Vec<&str>>();