watsonx.ai deployment fails: project vs space, software spec, and version param

TL;DR

Deployments need a space, not a project: if inference works but deploy fails, set the default space and re-run. 'Software specification not found' means the base software spec changed: update the config to a current spec. REST 400 errors about version mean the version query param is missing or invalid: pin a date like ?version=YYYY-MM-DD that matches your payload. 'No project or space id provided' means you never set the default scope: call set default project or default space, or pass projectid/spaceid to the foundation model object.

Fix

1. Deployments need a space, not a project: if inference works but deploy fails, set the default space and re-run. 'Software specification not found' means the base software spec changed: update the config to a current spec. Expected: You see the expected output instead of the problem.

2. REST 400 errors about version mean the version query param is missing or invalid: pin a date like ?version=YYYY-MM-DD that matches your payload. 'No project or space id provided' means you never set the default scope: call set default project or default space, or pass projectid/spaceid to the foundation model object. Expected: You get the expected result; the problem is gone.

When to use

• You are setting up or using this watsonx.ai deployment fails feature.
• The symptom matches: project vs space, software spec, and version param.

When NOT to use

• Unrelated watsonx.ai deployment fails issues (different feature, different failure).
• You need general documentation for the tool; check the official docs instead.

Compatibility

Reported against watsonx.ai deployment fails.

Variant phrasings

project vs space, software spec, and version param

Why it happens

Local invoke works but deployment fails: three scope and config mismatches to check.

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Source: Local invoke works but deployment fails: three scope and config mismatches to check.

Verified resolution: [watsonx skill debugging playbook]: deployments need a space, not a project: if inference works but deploy fails, set the default space and re-run. 'Software specification not found' means the base software spec changed: update the config to a current spec. REST 400 errors about version mean the version query param is missing or invalid: pin a date like ?version=YYYY-MM-DD that matches your payload. 'No project or space id provided' means you never set the default scope: call set default project or default space, or pass projectid/spaceid to the foundation model object.

Source URL: https://github.com/gangwuca-art/bob-llmwiki-knowledge-manager/blob/HEAD/.bob/skills/ibm-watsonx.ai/SKILL.md