llama.cpp
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Published
2 months ago
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ggml-org
ggml-org
Eval bug: Unexpected empty grammar stack after accepting piece: <｜tool_calls_begin｜> on DeepSeek-R1-Distill-Qwen-32B
Name and Version
llama-server --version
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 2 CUDA devices:
Device 0: NVIDIA GeForce RTX 2080 Ti, compute capability 7.5, VMM: yes
Device 1: NVIDIA GeForce RTX 2080 Ti, compute capability 7.5, VMM: yes
version: 4735 (73e2ed3c)
built with cc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 for x86_64-linux-gnu
Operating systems
Linux
GGML backends
CUDA
Hardware
2x RTX 2080 Ti
Models
DeepSeek-R1-Distill-Qwen-32B-Q8_0
Problem description & steps to reproduce
export LLAMA_ARG_N_GPU_LAYERS=26
export LLAMA_ARG_TENSOR_SPLIT=1,1
export MODELS_PATH=$1
llama-server -m $MODELS_PATH -fa --jinja
First Bad Commit
When inferring with DeepSeek-R1-Distill-Qwen-32B-Q8_0 model, the model was prompted to use tools, but the log of llama.cpp printed incorrectly and disconnected the request.
terminate called after throwing an instance of 'std::runtime_error'
what(): Unexpected empty grammar stack after accepting piece: <｜tool_calls_begin｜>
Relevant log output
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 2 CUDA devices:
Device 0: NVIDIA GeForce RTX 2080 Ti, compute capability 7.5, VMM: yes
Device 1: NVIDIA GeForce RTX 2080 Ti, compute capability 7.5, VMM: yes
build: 4735 (73e2ed3c) with cc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 for x86_64-linux-gnu
system info: n_threads = 18, n_threads_batch = 18, total_threads = 36
system_info: n_threads = 18 (n_threads_batch = 18) / 36 | CUDA : ARCHS = 750 | USE_GRAPHS = 1 | PEER_MAX_BATCH_SIZE = 128 | CPU : SSE3 = 1 | SSSE3 = 1 | AVX = 1 | AVX2 = 1 | F16C = 1 | FMA = 1 | LLAMAFILE = 1 | OPENMP = 1 | AARCH64_REPACK = 1 |
main: HTTP server is listening, hostname: 0.0.0.0, port: 15011, http threads: 35
main: loading model
srv load_model: loading model '/models/modelscope/hub/unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q8_0.gguf'
llama_model_load_from_file_impl: using device CUDA0 (NVIDIA GeForce RTX 2080 Ti) - 22023 MiB free
llama_model_load_from_file_impl: using device CUDA1 (NVIDIA GeForce RTX 2080 Ti) - 22026 MiB free
llama_model_loader: loaded meta data with 27 key-value pairs and 771 tensors from /models/modelscope/hub/unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q8_0.gguf (version GGUF V3 (latest))
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader: - kv 0: general.architecture str = qwen2
llama_model_loader: - kv 1: general.type str = model
llama_model_loader: - kv 2: general.name str = DeepSeek R1 Distill Qwen 32B
llama_model_loader: - kv 3: general.organization str = Deepseek Ai
llama_model_loader: - kv 4: general.basename str = DeepSeek-R1-Distill-Qwen
llama_model_loader: - kv 5: general.size_label str = 32B
llama_model_loader: - kv 6: qwen2.block_count u32 = 64
llama_model_loader: - kv 7: qwen2.context_length u32 = 131072
llama_model_loader: - kv 8: qwen2.embedding_length u32 = 5120
llama_model_loader: - kv 9: qwen2.feed_forward_length u32 = 27648
llama_model_loader: - kv 10: qwen2.attention.head_count u32 = 40
llama_model_loader: - kv 11: qwen2.attention.head_count_kv u32 = 8
llama_model_loader: - kv 12: qwen2.rope.freq_base f32 = 1000000.000000
llama_model_loader: - kv 13: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 14: general.file_type u32 = 7
llama_model_loader: - kv 15: tokenizer.ggml.model str = gpt2
llama_model_loader: - kv 16: tokenizer.ggml.pre str = deepseek-r1-qwen
llama_model_loader: - kv 17: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv 18: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv 19: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv 20: tokenizer.ggml.bos_token_id u32 = 151646
llama_model_loader: - kv 21: tokenizer.ggml.eos_token_id u32 = 151643
llama_model_loader: - kv 22: tokenizer.ggml.padding_token_id u32 = 151654
llama_model_loader: - kv 23: tokenizer.ggml.add_bos_token bool = true
llama_model_loader: - kv 24: tokenizer.ggml.add_eos_token bool = false
llama_model_loader: - kv 25: tokenizer.chat_template str = {% if not add_generation_prompt is de...
llama_model_loader: - kv 26: general.quantization_version u32 = 2
llama_model_loader: - type f32: 321 tensors
llama_model_loader: - type q8_0: 450 tensors
print_info: file format = GGUF V3 (latest)
print_info: file type = Q8_0
print_info: file size = 32.42 GiB (8.50 BPW)
load: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect
load: special tokens cache size = 22
load: token to piece cache size = 0.9310 MB
print_info: arch = qwen2
print_info: vocab_only = 0
print_info: n_ctx_train = 131072
print_info: n_embd = 5120
print_info: n_layer = 64
print_info: n_head = 40
print_info: n_head_kv = 8
print_info: n_rot = 128
print_info: n_swa = 0
print_info: n_embd_head_k = 128
print_info: n_embd_head_v = 128
print_info: n_gqa = 5
print_info: n_embd_k_gqa = 1024
print_info: n_embd_v_gqa = 1024
print_info: f_norm_eps = 0.0e+00
print_info: f_norm_rms_eps = 1.0e-05
print_info: f_clamp_kqv = 0.0e+00
print_info: f_max_alibi_bias = 0.0e+00
print_info: f_logit_scale = 0.0e+00
print_info: n_ff = 27648
print_info: n_expert = 0
print_info: n_expert_used = 0
print_info: causal attn = 1
print_info: pooling type = 0
print_info: rope type = 2
print_info: rope scaling = linear
print_info: freq_base_train = 1000000.0
print_info: freq_scale_train = 1
print_info: n_ctx_orig_yarn = 131072
print_info: rope_finetuned = unknown
print_info: ssm_d_conv = 0
print_info: ssm_d_inner = 0
print_info: ssm_d_state = 0
print_info: ssm_dt_rank = 0
print_info: ssm_dt_b_c_rms = 0
print_info: model type = 32B
print_info: model params = 32.76 B
print_info: general.name = DeepSeek R1 Distill Qwen 32B
print_info: vocab type = BPE
print_info: n_vocab = 152064
print_info: n_merges = 151387
print_info: BOS token = 151646 '<｜begin▁of▁sentence｜>'
print_info: EOS token = 151643 '<｜end▁of▁sentence｜>'
print_info: EOT token = 151643 '<｜end▁of▁sentence｜>'
print_info: PAD token = 151654 '<|vision_pad|>'
print_info: LF token = 198 'Ċ'
print_info: FIM PRE token = 151659 '<|fim_prefix|>'
print_info: FIM SUF token = 151661 '<|fim_suffix|>'
print_info: FIM MID token = 151660 '<|fim_middle|>'
print_info: FIM PAD token = 151662 '<|fim_pad|>'
print_info: FIM REP token = 151663 '<|repo_name|>'
print_info: FIM SEP token = 151664 '<|file_sep|>'
print_info: EOG token = 151643 '<｜end▁of▁sentence｜>'
print_info: EOG token = 151662 '<|fim_pad|>'
print_info: EOG token = 151663 '<|repo_name|>'
print_info: EOG token = 151664 '<|file_sep|>'
print_info: max token length = 256
load_tensors: loading model tensors, this can take a while... (mmap = true)
load_tensors: offloading 64 repeating layers to GPU
load_tensors: offloading output layer to GPU
load_tensors: offloaded 65/65 layers to GPU
load_tensors: CUDA0 model buffer size = 16306.25 MiB
load_tensors: CUDA1 model buffer size = 16106.92 MiB
load_tensors: CPU_Mapped model buffer size = 788.91 MiB
.................................................................................................
llama_init_from_model: n_seq_max = 1
llama_init_from_model: n_ctx = 4096
llama_init_from_model: n_ctx_per_seq = 4096
llama_init_from_model: n_batch = 2048
llama_init_from_model: n_ubatch = 512
llama_init_from_model: flash_attn = 1
llama_init_from_model: freq_base = 1000000.0
llama_init_from_model: freq_scale = 1
llama_init_from_model: n_ctx_per_seq (4096) < n_ctx_train (131072) -- the full capacity of the model will not be utilized
llama_kv_cache_init: kv_size = 4096, offload = 1, type_k = 'f16', type_v = 'f16', n_layer = 64, can_shift = 1
llama_kv_cache_init: CUDA0 KV buffer size = 528.00 MiB
llama_kv_cache_init: CUDA1 KV buffer size = 496.00 MiB
llama_init_from_model: KV self size = 1024.00 MiB, K (f16): 512.00 MiB, V (f16): 512.00 MiB
llama_init_from_model: CUDA_Host output buffer size = 0.58 MiB
llama_init_from_model: pipeline parallelism enabled (n_copies=4)
llama_init_from_model: CUDA0 compute buffer size = 214.01 MiB
llama_init_from_model: CUDA1 compute buffer size = 363.02 MiB
llama_init_from_model: CUDA_Host compute buffer size = 42.02 MiB
llama_init_from_model: graph nodes = 1991
llama_init_from_model: graph splits = 3
common_init_from_params: setting dry_penalty_last_n to ctx_size = 4096
common_init_from_params: warming up the model with an empty run - please wait ... (--no-warmup to disable)
srv init: initializing slots, n_slots = 1
slot init: id 0 | task -1 | new slot n_ctx_slot = 4096
main: model loaded
main: chat template, chat_template: {% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '' + '\n' + tool['function']['arguments'] + '\n' + '' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '' + '\n' + tool['function']['arguments'] + '\n' + '' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}, example_format: 'You are a helpful assistant<｜User｜>Hello<｜Assistant｜>Hi there<｜end▁of▁sentence｜><｜User｜>How are you?<｜Assistant｜><think>
'
main: server is listening on http://0.0.0.0:15011 - starting the main loop
srv update_slots: all slots are idle
Template supports tool calls but does not natively describe tools. The fallback behaviour used may produce bad results, inspect prompt w/ --verbose & consider overriding the template.
srv params_from_: Chat format: DeepSeek R1 (extract reasoning)
srv params_from_: Not preserved because more than 1 token (wrong chat template override?): <｜tool▁sep｜>
srv params_from_: Not preserved because more than 1 token (wrong chat template override?): <｜tool▁calls▁end｜
srv params_from_: Not preserved because more than 1 token (wrong chat template override?): <｜tool▁call▁end｜>
slot launch_slot_: id 0 | task 0 | processing task
slot update_slots: id 0 | task 0 | new prompt, n_ctx_slot = 4096, n_keep = 0, n_prompt_tokens = 1353
slot update_slots: id 0 | task 0 | kv cache rm [0, end)
slot update_slots: id 0 | task 0 | prompt processing progress, n_past = 1353, n_tokens = 1353, progress = 1.000000
slot update_slots: id 0 | task 0 | prompt done, n_past = 1353, n_tokens = 1353
terminate called after throwing an instance of 'std::runtime_error'
what(): Unexpected empty grammar stack after accepting piece: <｜tool_calls_begin｜>
Hello @andreakiro,
Thank you for the issue.
Indeed, we have issues with the playwright's support.
It would be very helpful if you can have a debug output with the CDP messages. A comparison between lightpanda and a chrome headless would help us to find the issue.
I'm encountering the same error, here are my logs from lightpanda:
debug(cli): Server opts: listening internally on /tmp/lightpanda...
info(websocket): starting blocking worker to listen on 127.0.0.1:9222
info(server): accepting new conn...
debug(websocket): (127.0.0.1:60860) connected
debug(handler): connected to Stream server
info(server): client connected
debug(websocket): (127.0.0.1:60860) connection successfully upgraded
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 1, method browser.getVersion
debug(cdp): Res > id 1, sessionID null, result { }
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 2, method target.setAutoAttach
debug(cdp): Event > method Target.attachedToTarget, sessionID null
debug(cdp): Res > id 2, sessionID null, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): REQ > id 3, method browser.setDownloadBehavior
debug(cdp): Res > id 3, sessionID null, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 4, method page.enable
debug(cdp): Res > id 4, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 5, method page.getFrameTree
debug(cdp): Res > id 5, sessionID BROWSERSESSIONID597D9875C664CAC0, result cdp.page.getFrameTree { .frameTree = { .frame = { .id = FRAMEIDD8AED408A0467AC93100BCDBE, .loaderId = LOADERID24DD2FD56CF1EF33C965C79C, .url = chrome://newtab/ } } }
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 6, method log.enable
debug(cdp): Res > id 6, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 7, method page.setLifecycleEventsEnabled
debug(cdp): Res > id 7, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Res (inspector) > id 8
debug(cdp): Res > id 8, sessionID null, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Res (inspector) > id 9
debug(cdp): Res > id 9, sessionID null, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 10, method page.addScriptToEvaluateOnNewDocument
debug(cdp): Res > id 10, sessionID BROWSERSESSIONID597D9875C664CAC0, result cdp.page.addScriptToEvaluateOnNewDocument { .identifier = 1 }
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 11, method network.enable
debug(cdp): Res > id 11, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 12, method target.setAutoAttach
debug(cdp): Res > id 12, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 13, method emulation.setFocusEmulationEnabled
debug(cdp): Res > id 13, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 14, method emulation.setEmulatedMedia
debug(cdp): Res > id 14, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 15, method runtime.runIfWaitingForDebugger
debug(cdp): Res > id 15, sessionID BROWSERSESSIONID597D9875C664CAC0, result null
debug(websocket): (127.0.0.1:60860) received text message
debug(cdp): Req > id 16, method target.getTargetInfo
debug(cdp): Res > id 16, sessionID null, result cdp.target.getTargetInfo.TargetInfo{ .targetId = { 98, 114, 111, 119, 115, 101, 114, 57, 45, 116, 97, 114, 103, 45, 101, 116, 54, 102, 45, 105, 100, 48, 101, 45, 56, 51, 102, 51, 97, 98, 55, 51, 97, 51, 48, 99 }, .type = { 98, 114, 111, 119, 115, 101, 114 }, .title = { }, .url = { }, .attached = true, .openerId = null, .canAccessOpener = false, .openerFrameId = null, .browserContextId = null, .subtype = null }
debug(websocket): (127.0.0.1:60860) connection closed: error.ConnectionResetByPeer
info(server): close cmd, closing conn...
debug(server): connection closed
info(server): accepting new conn...
debug(server): read has been canceled
and here are the ones from playwright:
$ DEBUG=pw:protocol,pw:channel python lightpanda_test.py
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"Android","initializer":{},"guid":"android@f604d15b7cf04cffa6cd9f072b123d6d"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"BrowserType","initializer":{"executablePath":"/home/hoagy/.cache/ms-playwright/chromium-1148/chrome-linux/chrome","name":"chromium"},"guid":"browser-type@2f75778c1d45c530352b340110f2d1ee"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"BrowserType","initializer":{"executablePath":"/home/hoagy/.cache/ms-playwright/firefox-1466/firefox/firefox","name":"firefox"},"guid":"browser-type@e898c412a3195bf8b5713af4bfdffd7b"}} +1ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"BrowserType","initializer":{"executablePath":"/home/hoagy/.cache/ms-playwright/webkit_ubuntu20.04_x64_special-2092/pw_run.sh","name":"webkit"},"guid":"browser-type@7383e3a35eb61abbe119f8cbeea4b69a"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"BrowserType","initializer":{"executablePath":"","name":"bidi"},"guid":"browser-type@c34813c60f750a36a5a41dd08669db38"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"BrowserType","initializer":{"executablePath":"","name":"bidi"},"guid":"browser-type@a86167fa1e662526ec23e75a258daea1"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"Electron","initializer":{},"guid":"electron@27e536ae6c4ccec8153c0645193456d3"}} +0ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"LocalUtils","initializer":{"deviceDescriptors":[{"name":"Blackberry PlayBook","descriptor":{"userAgent":"Mozilla/5.0 (PlayBook; U; RIM Tablet OS 2.1.0; en-US) AppleWebKit/536.2+ (KHTML like Gecko) Version/18.2 Safari/536.2+","viewport":{"width":600,"height":1024},"deviceScaleFactor":1,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"Blackberry PlayBook landscape","descriptor":{"userAgent":"Mozilla/5.0 (PlayBook; U; RIM Tablet OS 2.1.0; en-US) AppleWebKit/536.2+ (KHTML like Gecko) Version/18.2 Safari/536.2+","viewport":{"width":1024,"height":600},"deviceScaleFactor":1,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"BlackBerry Z30","descriptor":{"userAgent":"Mozilla/5.0 (BB10; Touch) AppleWebKit/537.10+ (KHTML, like Gecko) Version/18.2 Mobile Safari/537.10+","viewport":{"width":360,"height":640},"deviceScaleFactor":2,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"BlackBerry Z30 landscape","descriptor":{"userAgent":"Mozilla/5.0 (BB10; Touch) AppleWebKit/537.10+ (KHTML, like Gecko) Version/18.2 Mobile Safari/537.10+","viewport":{"width":640,"height":360},"deviceScaleFactor":2,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"Galaxy Note 3","descriptor":{"userAgent":"Mozilla/5.0 (Linux; U; Android 4.3; en-us; SM-N900T Build/JSS15J) AppleWebKit/534.30 (KHTML, like Gecko) Version/18.2 Mobile Safari/534.30","viewport":{"width":360,"height":640},"deviceScaleFactor":3,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"Galaxy Note 3 landscape","descriptor":{"userAgent":"Mozilla/5.0 (Linux; U; Android 4.3; en-us; SM-N900T Build/JSS15J) AppleWebKit/534.30 (KHTML, like Gecko) Version/18.2 Mobile Safari/534.30","viewport":{"width":640,"height":360},"deviceScaleFactor":3,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"Galaxy Note II","descriptor":{"userAgent":"Mozilla/5.0 (Linux; U; Android 4.1; en-us; GT-N7100 Build/JRO03C) AppleWebKit/534.30 (KHTML, like Gecko) Version/18.2 Mobile Safari/534.30","viewport":{"width":360,"height":640},"deviceScaleFactor":2,"isMobile":true,"hasTouch":true,"defaultBrowserType":"webkit"}},{"name":"Galaxy Note II landscape","descriptor":{"userAgent":"Mozilla/5.0 (Linux; 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pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"Selectors","initializer":{},"guid":"selectors@a6fcab038b8509bb881a76c74182984d"}} +3ms
pw:channel <EVENT {"guid":"","method":"__create__","params":{"type":"Playwright","initializer":{"chromium":{"guid":"browser-type@2f75778c1d45c530352b340110f2d1ee"},"firefox":{"guid":"browser-type@e898c412a3195bf8b5713af4bfdffd7b"},"webkit":{"guid":"browser-type@7383e3a35eb61abbe119f8cbeea4b69a"},"bidiChromium":{"guid":"browser-type@c34813c60f750a36a5a41dd08669db38"},"bidiFirefox":{"guid":"browser-type@a86167fa1e662526ec23e75a258daea1"},"android":{"guid":"android@f604d15b7cf04cffa6cd9f072b123d6d"},"electron":{"guid":"electron@27e536ae6c4ccec8153c0645193456d3"},"utils":{"guid":"localUtils"},"selectors":{"guid":"selectors@a6fcab038b8509bb881a76c74182984d"}},"guid":"Playwright"}} +1ms
pw:protocol SEND ► {"id":1,"method":"Browser.getVersion"} +0ms
pw:protocol ◀ RECV {"id":1,"result":{"protocolVersion":"1.3","product":"Chrome/124.0.6367.29","revision":"@9e6ded5ac1ff5e38d930ae52bd9aec09bd1a68e4","userAgent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36","jsVersion":"12.4.254.8"}} +5ms
pw:protocol SEND ► {"id":2,"method":"Target.setAutoAttach","params":{"autoAttach":true,"waitForDebuggerOnStart":true,"flatten":true}} +2ms
pw:protocol SEND ► {"id":3,"method":"Browser.setDownloadBehavior","params":{"behavior":"allowAndName","downloadPath":"/tmp/playwright-artifacts-bmRpCC","eventsEnabled":true}} +2ms
pw:protocol ◀ RECV {"method":"Target.attachedToTarget","params":{"sessionId":"BROWSERSESSIONID597D9875C664CAC0","targetInfo":{"targetId":"PAGETARGETIDB638E9DC0F52DDC","type":"page","title":"about:blank","url":"chrome://newtab/","attached":true,"canAccessOpener":false,"browserContextId":"BROWSERCONTEXTIDA95049E9DFE95EA9"},"waitingForDebugger":false}} +1ms
pw:protocol SEND ► {"id":4,"method":"Page.enable","sessionId":"BROWSERSESSIONID597D9875C664CAC0"} +5ms
pw:protocol SEND ► {"id":5,"method":"Page.getFrameTree","sessionId":"BROWSERSESSIONID597D9875C664CAC0"} +1ms
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pw:protocol SEND ► {"id":7,"method":"Page.setLifecycleEventsEnabled","params":{"enabled":true},"sessionId":"BROWSERSESSIONID597D9875C664CAC0"} +0ms
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/home/hoagy/.pyenv/versions/main/lib/python3.13/site-packages/playwright/driver/package/lib/utils/debug.js:29
if (!value) throw new Error(message || 'Assertion error');
^
Error: Assertion error
at assert (/home/hoagy/.pyenv/versions/main/lib/python3.13/site-packages/playwright/driver/package/lib/utils/debug.js:29:21)
at CRSession._onMessage (/home/hoagy/.pyenv/versions/main/lib/python3.13/site-packages/playwright/driver/package/lib/server/chromium/crConnection.js:157:25)
at CRConnection._onMessage (/home/hoagy/.pyenv/versions/main/lib/python3.13/site-packages/playwright/driver/package/lib/server/chromium/crConnection.js:73:26)
at Immediate.<anonymous> (/home/hoagy/.pyenv/versions/main/lib/python3.13/site-packages/playwright/driver/package/lib/server/transport.js:147:46)
at process.processImmediate (node:internal/timers:491:21)
I thought lightpanda doesn't render DOM and thus can't generate screenshots.
I thought lightpanda doesn't render DOM and thus can't generate screenshots.
@shishkin I confirm Lightpanda has no graphical rendering, so screenshots will not work. But as far as I can see, the issue reported here happens before the screenshot itself. We doesn't handle playwright's CDP conn correctly for now.
Same error :( any progress yet?
Hello @sliard, No progress regarding this issue for now. I hope be able to work next week.
It looks as if it is only due to playwright and the processor architecture does not play a role.
Hello here, we made progress w/ Playwright support. Can you make some re-try?