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JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

Description

@laura-zambrano

PySDK Version

  • PySDK V2 (2.x)
  • PySDK V3 (3.x)

Describe the bug
When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

To reproduce

fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
config_name="generate_lowest_cost",
hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
# Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
accept_eula=True
)
# Check the environment variablesprint(container_def["Environment"])

The environment variables will already show up as corrupted when executing this method.

Expected behavior
The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

Screenshots or logs
Example of the corrupted environment block showing duplicated values:

SM_VLLM_MAX_MODEL_LEN = 4096
s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
h_f__h_u_b__o_f_f_l_i_n_e = 1

System information

  • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

  • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

  • Framework version: N/A

  • Python version: Python 3

  • CPU or GPU: Any

  • Custom Docker image (Y/N): N

Additional context
AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

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      , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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      (function() {
      function addCopyButtons() {
      document.querySelectorAll('pre code').forEach(function(codeBlock) {
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      btn.onmouseover = function() { this.style.opacity = '1'; };
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      var __re = new RegExp('^' + "github\\.com" + '
      JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
      Skip to content

      JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

      Description

      @laura-zambrano

      PySDK Version

      • PySDK V2 (2.x)
      • PySDK V3 (3.x)

      Describe the bug
      When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

      As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

      To reproduce

      fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
      model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
      config_name="generate_lowest_cost",
      hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
      # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
      accept_eula=True
      )
      # Check the environment variablesprint(container_def["Environment"])

      The environment variables will already show up as corrupted when executing this method.

      Expected behavior
      The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

      Screenshots or logs
      Example of the corrupted environment block showing duplicated values:

      SM_VLLM_MAX_MODEL_LEN = 4096
      s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
      h_f__h_u_b__o_f_f_l_i_n_e = 1
      

      System information

      • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

      • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

      • Framework version: N/A

      • Python version: Python 3

      • CPU or GPU: Any

      • Custom Docker image (Y/N): N

      Additional context
      AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

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      No one assigned

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        No projects

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          No milestone

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          None yet

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          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
          Skip to content

          JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

          Description

          @laura-zambrano

          PySDK Version

          • PySDK V2 (2.x)
          • PySDK V3 (3.x)

          Describe the bug
          When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

          As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

          To reproduce

          fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
          model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
          config_name="generate_lowest_cost",
          hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
          # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
          accept_eula=True
          )
          # Check the environment variablesprint(container_def["Environment"])

          The environment variables will already show up as corrupted when executing this method.

          Expected behavior
          The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

          Screenshots or logs
          Example of the corrupted environment block showing duplicated values:

          SM_VLLM_MAX_MODEL_LEN = 4096
          s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
          h_f__h_u_b__o_f_f_l_i_n_e = 1
          

          System information

          • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

          • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

          • Framework version: N/A

          • Python version: Python 3

          • CPU or GPU: Any

          • Custom Docker image (Y/N): N

          Additional context
          AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

          Metadata

          Metadata

          Assignees

          No one assigned

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
              Skip to content

              JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

              Description

              @laura-zambrano

              PySDK Version

              • PySDK V2 (2.x)
              • PySDK V3 (3.x)

              Describe the bug
              When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

              As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

              To reproduce

              fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
              model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
              config_name="generate_lowest_cost",
              hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
              # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
              accept_eula=True
              )
              # Check the environment variablesprint(container_def["Environment"])

              The environment variables will already show up as corrupted when executing this method.

              Expected behavior
              The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

              Screenshots or logs
              Example of the corrupted environment block showing duplicated values:

              SM_VLLM_MAX_MODEL_LEN = 4096
              s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
              h_f__h_u_b__o_f_f_l_i_n_e = 1
              

              System information

              • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

              • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

              • Framework version: N/A

              • Python version: Python 3

              • CPU or GPU: Any

              • Custom Docker image (Y/N): N

              Additional context
              AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

              Metadata

              Metadata

              Assignees

              No one assigned

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
                  Skip to content

                  JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

                  Description

                  @laura-zambrano

                  PySDK Version

                  • PySDK V2 (2.x)
                  • PySDK V3 (3.x)

                  Describe the bug
                  When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

                  As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

                  To reproduce

                  fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
                  model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
                  config_name="generate_lowest_cost",
                  hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
                  # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
                  accept_eula=True
                  )
                  # Check the environment variablesprint(container_def["Environment"])

                  The environment variables will already show up as corrupted when executing this method.

                  Expected behavior
                  The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

                  Screenshots or logs
                  Example of the corrupted environment block showing duplicated values:

                  SM_VLLM_MAX_MODEL_LEN = 4096
                  s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
                  h_f__h_u_b__o_f_f_l_i_n_e = 1
                  

                  System information

                  • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

                  • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

                  • Framework version: N/A

                  • Python version: Python 3

                  • CPU or GPU: Any

                  • Custom Docker image (Y/N): N

                  Additional context
                  AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
                      Skip to content

                      JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

                      Description

                      @laura-zambrano

                      PySDK Version

                      • PySDK V2 (2.x)
                      • PySDK V3 (3.x)

                      Describe the bug
                      When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

                      As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

                      To reproduce

                      fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
                      model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
                      config_name="generate_lowest_cost",
                      hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
                      # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
                      accept_eula=True
                      )
                      # Check the environment variablesprint(container_def["Environment"])

                      The environment variables will already show up as corrupted when executing this method.

                      Expected behavior
                      The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

                      Screenshots or logs
                      Example of the corrupted environment block showing duplicated values:

                      SM_VLLM_MAX_MODEL_LEN = 4096
                      s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
                      h_f__h_u_b__o_f_f_l_i_n_e = 1
                      

                      System information

                      • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

                      • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

                      • Framework version: N/A

                      • Python version: Python 3

                      • CPU or GPU: Any

                      • Custom Docker image (Y/N): N

                      Additional context
                      AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

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                      Metadata

                      Assignees

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
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                          JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

                          Description

                          @laura-zambrano

                          PySDK Version

                          • PySDK V2 (2.x)
                          • PySDK V3 (3.x)

                          Describe the bug
                          When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

                          As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

                          To reproduce

                          fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
                          model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
                          config_name="generate_lowest_cost",
                          hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
                          # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
                          accept_eula=True
                          )
                          # Check the environment variablesprint(container_def["Environment"])

                          The environment variables will already show up as corrupted when executing this method.

                          Expected behavior
                          The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

                          Screenshots or logs
                          Example of the corrupted environment block showing duplicated values:

                          SM_VLLM_MAX_MODEL_LEN = 4096
                          s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
                          h_f__h_u_b__o_f_f_l_i_n_e = 1
                          

                          System information

                          • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

                          • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

                          • Framework version: N/A

                          • Python version: Python 3

                          • CPU or GPU: Any

                          • Custom Docker image (Y/N): N

                          Additional context
                          AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub · Issue #6191 · aws/sagemaker-python-sdk · GitHub
                              Skip to content

                              JumpStartModel corrupts environment variables (incorrect snake_case conversion) when using a private hub #6191

                              Description

                              @laura-zambrano

                              PySDK Version

                              • PySDK V2 (2.x)
                              • PySDK V3 (3.x)

                              Describe the bug
                              When using the JumpStartModel class to deploy a model reference hosted on a private hub (by passing the hub_name parameter), a subset of the container environment variable names arrive corrupted. The variable names from the instance-specific overrides are recursively converted from UpperCamelCase to snake_case. The SDK uses a regular expression that inserts an underscore before every capital letter and then lowercases the result.

                              As a result, a variable like SM_VLLM_MAX_MODEL_LEN becomes s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n. This causes the instance-specific override to silently fail and not merge over the base defaults, as the spelling collision is broken. The defect is located in the hub deserialization path (JumpStartInstanceTypeVariants.from_describe_hub_content_response), which applies a walk_and_apply_json(response, camel_to_snake) function across the entire document structure.

                              To reproduce

                              fromsagemaker.jumpstart.modelimportJumpStartModel# Note: Requires a private hub setup with a ModelReference to a JumpStart modelmodel=JumpStartModel(
                              model_id="huggingface-vlm-gemma-4-e4b-it", model_version="*",
                              config_name="generate_lowest_cost",
                              hub_name="mi-hub-jumpstart-2", # Replace with your private hub nameregion="eu-south-2", )
                              # Inspect the container definition before creating the modelcontainer_def=model.prepare_container_def(
                              accept_eula=True
                              )
                              # Check the environment variablesprint(container_def["Environment"])

                              The environment variables will already show up as corrupted when executing this method.

                              Expected behavior
                              The environment variables from instance-specific overrides (located under HostingInstanceTypeVariants) should retain their original names (e.g., SM_VLLM_MAX_MODEL_LEN). The values from these instance-specific overrides should properly override the base defaults without having their keys modified into snake_case with underscores during JSON parsing.

                              Screenshots or logs
                              Example of the corrupted environment block showing duplicated values:

                              SM_VLLM_MAX_MODEL_LEN = 4096
                              s_m__v_l_l_m__m_a_x__m_o_d_e_l__l_e_n = 131072
                              h_f__h_u_b__o_f_f_l_i_n_e = 1
                              

                              System information

                              • SageMaker Python SDK version: 2.245.0 (Defect confirmed by AWS Support to also be present in recent versions 2.257.6 and 3.20.0)

                              • Framework name (eg. PyTorch) or algorithm (eg. KMeans): JumpStart

                              • Framework version: N/A

                              • Python version: Python 3

                              • CPU or GPU: Any

                              • Custom Docker image (Y/N): N

                              Additional context
                              AWS Premium Support investigated this under Case ID 178704468000307. They confirmed that the equivalent public-hub function, from_json, performs no key conversion at all, which is why the exact same model deploys correctly when taken from the public catalog. The issue occurs specifically because the names in HostingInstanceTypeVariants are defined as keys in a map, and are thus incorrectly caught by the camel_to_snake recursive rewrite during hub deserialization.

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                              No one assigned

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                                  Issue actions