ShowResponse ValidationError when /api/show omits model_info (cloud models) #310

New Issue

2026-02-15T16:29:49-05:00

yindo commented

2026-02-15 16:29:49 -05:00

Originally created by @hcal on GitHub (Dec 24, 2025).

Originally assigned to: @BruceMacD on GitHub.

Summary

The Ollama Python client raises a Pydantic ValidationError when /api/show responses omit model_info. This happens with some cloud models and breaks downstream tools that call ollama.show() (e.g., llm-ollama).

The llm-ollama maintainer recommended filing this here: https://github.com/taketwo/llm-ollama/issues/65#issue-3760612718

Steps to Reproduce

Ensure Ollama server is running.
Run: curl -s http://127.0.0.1:11434/api/show -d '{"name":"glm-4.7:cloud"}'

Observed Behavior

Response is valid JSON but missing model_info, and the Python client fails with:

pydantic_core._pydantic_core.ValidationError: 1 validation error for ShowResponse
model_info Field required [type=missing, input_value={...}, input_type=dict]

Example /api/show response (missing model_info)

{"modelfile":"# Modelfile generated by "ollama show"...","template":"{{ .Prompt }}","details":{"parent_model":"","format":"","family":"","families":null,"parameter_size":"","quantization_level":""},"remote_model":"glm-
4.7","remote_host":"https://ollama.com:443","capabilities":["completion","tools","thinking"],"modified_at":"2025-12-
24T10:08:53.438277171-05:00"}

Models observed missing model_info

glm-4.7:cloud
qwen3-next:80b-cloud
deepseek-v3.2:cloud

Other cloud models (e.g., gpt-oss:120b-cloud) return model_info as expected.

Versions

ollama python client: 0.6.0
ollama server: 0.13.2
python: 3.13

Originally created by @hcal on GitHub (Dec 24, 2025). Originally assigned to: @BruceMacD on GitHub. ## Summary The Ollama Python client raises a Pydantic ValidationError when `/api/show` responses omit `model_info`. This happens with some cloud models and breaks downstream tools that call `ollama.show()` (e.g., `llm-ollama`). The `llm-ollama` maintainer recommended filing this here: https://github.com/taketwo/llm-ollama/issues/65#issue-3760612718 ## Steps to Reproduce 1. Ensure Ollama server is running. 2. Run: curl -s http://127.0.0.1:11434/api/show -d '{"name":"glm-4.7:cloud"}' ## Observed Behavior Response is valid JSON but missing `model_info`, and the Python client fails with: pydantic_core._pydantic_core.ValidationError: 1 validation error for ShowResponse model_info Field required [type=missing, input_value={...}, input_type=dict] ## Example /api/show response (missing model_info) ``` {"modelfile":"# Modelfile generated by "ollama show"...","template":"{{ .Prompt }}","details":{"parent_model":"","format":"","family":"","families":null,"parameter_size":"","quantization_level":""},"remote_model":"glm- 4.7","remote_host":"https://ollama.com:443","capabilities":["completion","tools","thinking"],"modified_at":"2025-12- 24T10:08:53.438277171-05:00"} ``` ## Models observed missing model_info - glm-4.7:cloud - qwen3-next:80b-cloud - deepseek-v3.2:cloud Other cloud models (e.g., `gpt-oss:120b-cloud`) return `model_info` as expected. ## Versions - ollama python client: 0.6.0 - ollama server: 0.13.2 - python: 3.13

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Reference: ollama/ollama-python#310