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Published 20 hours ago • verified publisher icon meta-llama

Quick Start steps result in sqlite3 error

Open nathan-weinberg opened this issue 7 months ago • 6 comments

System Info

PyTorch version: 2.6.0+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Fedora Linux 40 (Workstation Edition) (x86_64)
GCC version: (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.39

Python version: 3.12.9 (main, Feb  4 2025, 00:00:00) [GCC 14.2.1 20240912 (Red Hat 14.2.1-3)] (64-bit runtime)
Python platform: Linux-6.13.6-100.fc40.x86_64-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        39 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               8
On-line CPU(s) list:                  0-7
Vendor ID:                            GenuineIntel
Model name:                           11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz
CPU family:                           6
Model:                                140
Thread(s) per core:                   2
Core(s) per socket:                   4
Socket(s):                            1
Stepping:                             1
CPU(s) scaling MHz:                   84%
CPU max MHz:                          4800.0000
CPU min MHz:                          400.0000
BogoMIPS:                             5990.40
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l2 cdp_l2 ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid movdiri movdir64b fsrm avx512_vp2intersect md_clear ibt flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            192 KiB (4 instances)
L1i cache:                            128 KiB (4 instances)
L2 cache:                             5 MiB (4 instances)
L3 cache:                             12 MiB (1 instance)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-7
Vulnerability Gather data sampling:   Mitigation; Microcode
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Not affected
Vulnerability Spec rstack overflow:   Not affected
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

Versions of relevant libraries:
[pip3] numpy==2.2.2
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-cusparselt-cu12==0.6.2
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pytorch_sphinx_theme==0.0.24
[pip3] torch==2.6.0
[pip3] triton==3.2.0
[conda] Could not collect

Information

  • [x] The official example scripts
  • [ ] My own modified scripts

🐛 Describe the bug

When running through the Quick Start Guide, I cannot launch a server with Podman as described here:

podman run -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ~/.llama:/root/.llama \
  llamastack/distribution-ollama \
  --port $LLAMA_STACK_PORT \
  --env INFERENCE_MODEL=$INFERENCE_MODEL \
  --env OLLAMA_URL=http://host.docker.internal:11434

I've also tried the following command and gotten the same error

podman run -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ~/.llama:/root/.llama \
  --network=host \
  llamastack/distribution-ollama \
  --port $LLAMA_STACK_PORT \
  --env INFERENCE_MODEL=$INFERENCE_MODEL \
  --env OLLAMA_URL=http://localhost:11434

See error logs below for details. I am able to launch the server using Docker.

Error logs

===> Checking that ollama process is running
llama3.2:3b-instruct-fp16    195a8c01d91e    8.0 GB    100% CPU     52 minutes from now    
===> Setting environment variables
INFERENCE_MODEL: meta-llama/Llama-3.2-3B-Instruct
LLAMA_STACK_PORT: 8321
===> Starting server container with Podman
INFO 2025-03-14 03:51:47,920 __main__:355: Setting CLI environment variable INFERENCE_MODEL => meta-llama/Llama-3.2-3B-Instruct
INFO 2025-03-14 03:51:47,920 __main__:355: Setting CLI environment variable OLLAMA_URL => http://host.docker.internal:11434
INFO 2025-03-14 03:51:47,920 __main__:371: Using template ollama config file: /usr/local/lib/python3.10/site-packages/llama_stack/templates/ollama/run.yaml
INFO 2025-03-14 03:51:47,928 __main__:379: Run configuration:
INFO 2025-03-14 03:51:47,933 __main__:381: apis:
- agents
- datasetio
- eval
- inference
- safety
- scoring
- telemetry
- tool_runtime
- vector_io
benchmarks: []
container_image: null
datasets: []
image_name: ollama
metadata_store:
  db_path: /root/.llama/distributions/ollama/registry.db
  namespace: null
  type: sqlite
models:
- metadata: {}
  model_id: meta-llama/Llama-3.2-3B-Instruct
  model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType
  - llm
  provider_id: ollama
  provider_model_id: null
- metadata:
    embedding_dimension: 384
  model_id: all-MiniLM-L6-v2
  model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType
  - embedding
  provider_id: ollama
  provider_model_id: all-minilm:latest
providers:
  agents:
  - config:
      persistence_store:
        db_path: /root/.llama/distributions/ollama/agents_store.db
        namespace: null
        type: sqlite
    provider_id: meta-reference
    provider_type: inline::meta-reference
  datasetio:
  - config: {}
    provider_id: huggingface
    provider_type: remote::huggingface
  - config: {}
    provider_id: localfs
    provider_type: inline::localfs
  eval:
  - config: {}
    provider_id: meta-reference
    provider_type: inline::meta-reference
  inference:
  - config:
      url: http://host.docker.internal:11434
    provider_id: ollama
    provider_type: remote::ollama
  safety:
  - config: {}
    provider_id: llama-guard
    provider_type: inline::llama-guard
  scoring:
  - config: {}
    provider_id: basic
    provider_type: inline::basic
  - config: {}
    provider_id: llm-as-judge
    provider_type: inline::llm-as-judge
  - config:
      openai_api_key: '********'
    provider_id: braintrust
    provider_type: inline::braintrust
  telemetry:
  - config:
      service_name: llama-stack
      sinks: console,sqlite
      sqlite_db_path: /root/.llama/distributions/ollama/trace_store.db
    provider_id: meta-reference
    provider_type: inline::meta-reference
  tool_runtime:
  - config:
      api_key: '********'
      max_results: 3
    provider_id: brave-search
    provider_type: remote::brave-search
  - config:
      api_key: '********'
      max_results: 3
    provider_id: tavily-search
    provider_type: remote::tavily-search
  - config: {}
    provider_id: code-interpreter
    provider_type: inline::code-interpreter
  - config: {}
    provider_id: rag-runtime
    provider_type: inline::rag-runtime
  - config: {}
    provider_id: model-context-protocol
    provider_type: remote::model-context-protocol
  vector_io:
  - config:
      db_path: /root/.llama/distributions/ollama/sqlite_vec.db
    provider_id: sqlite-vec
    provider_type: inline::sqlite-vec
scoring_fns: []
server:
  port: 8321
  tls_certfile: null
  tls_keyfile: null
shields: []
tool_groups:
- args: null
  mcp_endpoint: null
  provider_id: tavily-search
  toolgroup_id: builtin::websearch
- args: null
  mcp_endpoint: null
  provider_id: rag-runtime
  toolgroup_id: builtin::rag
- args: null
  mcp_endpoint: null
  provider_id: code-interpreter
  toolgroup_id: builtin::code_interpreter
vector_dbs: []
version: '2'

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/local/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.10/site-packages/llama_stack/distribution/server/server.py", line 491, in <module>
    main()
  File "/usr/local/lib/python3.10/site-packages/llama_stack/distribution/server/server.py", line 389, in main
    impls = asyncio.run(construct_stack(config))
  File "/usr/local/lib/python3.10/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/local/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
    return future.result()
  File "/usr/local/lib/python3.10/site-packages/llama_stack/distribution/stack.py", line 203, in construct_stack
    dist_registry, _ = await create_dist_registry(run_config.metadata_store, run_config.image_name)
  File "/usr/local/lib/python3.10/site-packages/llama_stack/distribution/store/registry.py", line 185, in create_dist_registry
    dist_kvstore = await kvstore_impl(metadata_store)
  File "/usr/local/lib/python3.10/site-packages/llama_stack/providers/utils/kvstore/kvstore.py", line 54, in kvstore_impl
    await impl.initialize()
  File "/usr/local/lib/python3.10/site-packages/llama_stack/providers/utils/kvstore/sqlite/sqlite.py", line 24, in initialize
    async with aiosqlite.connect(self.db_path) as db:
  File "/usr/local/lib/python3.10/site-packages/aiosqlite/core.py", line 143, in __aenter__
    return await self
  File "/usr/local/lib/python3.10/site-packages/aiosqlite/core.py", line 130, in _connect
    self._connection = await future
  File "/usr/local/lib/python3.10/site-packages/aiosqlite/core.py", line 105, in run
    result = function()
  File "/usr/local/lib/python3.10/site-packages/aiosqlite/core.py", line 382, in connector
    return sqlite3.connect(loc, **kwargs)
sqlite3.OperationalError: unable to open database file

Expected behavior

Successful server launch

nathan-weinberg avatar Mar 14 '25 03:03 nathan-weinberg