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ReverseMerge: Bedrock IAM Role auth (#1944) to main#1948

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ReverseMerge: Bedrock IAM Role auth (#1944) to main#1948
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What

Back-merge of the Bedrock IAM Role / Instance Profile auth_type change (PR #1944, originally merged into v0.163.2-hotfix) into main.

This PR is scoped to only the Bedrock changes. The other commit on v0.163.2-hotfix (PR #1918, pluggable-worker import discovery) is excluded from this back-merge by request — it can be back-merged separately if needed.

Cherry-picked commit:

Files touched (4):

  • unstract/sdk1/src/unstract/sdk1/adapters/base1.py
  • unstract/sdk1/src/unstract/sdk1/adapters/llm1/static/bedrock.json
  • unstract/sdk1/src/unstract/sdk1/adapters/embedding1/static/bedrock.json
  • unstract/sdk1/tests/test_bedrock_adapter.py (new)

Why

Per the Hotfix Deployment Guide Step 9, hotfix changes must be back-merged to main after production deployment so the fixes carry forward into future releases. This PR is the OSS-side back-merge for the Bedrock auth_type hotfix.

Replaces #1946, which inadvertently included the unrelated PR #1918 (pluggable-worker hotfix) in the same back-merge.

How

  • Use rebase merge (preferred) or squash merge — not the default merge commit. Per the doc, click the merge dropdown and select the right option.

Can this PR break any existing features. If yes, please list possible items. If no, please explain why.

No. The change was independently reviewed and merged via PR #1944. This PR only forwards that single commit to main. Coverage is verified by unstract/sdk1/tests/test_bedrock_adapter.py (15 tests, all passing).

Database Migrations

  • None

Env Config

  • None (the IAM Role / Instance Profile mode relies on the host's ambient AWS credentials — no new env vars introduced into Unstract itself)

Relevant Docs

Related Issues or PRs

Dependencies Versions

  • No changes

Notes on Testing

Tested in PR #1944. No additional testing required for the back-merge itself.

Screenshots

N/A

Checklist

I have read and understood the Contribution Guidelines.

…pter (#1944)

* [FEAT] Allow Bedrock to fall through to boto3's default credential chain

Match the S3/MinIO connector pattern: when AWS access keys are left blank
on the Bedrock LLM and embedding adapter forms, drop them from the kwargs
dict so boto3's default credential chain handles authentication. This
unlocks IAM role / instance profile / IRSA / AWS Profile scenarios on
hosts that already have ambient AWS credentials (e.g. EKS workers with
IRSA, EC2 with an instance profile).

- llm1/static/bedrock.json: clarify access-key descriptions to mention
  IRSA and instance profile (already non-required at v0.163.2 base).
- embedding1/static/bedrock.json: drop aws_access_key_id and
  aws_secret_access_key from top-level required; same description fix;
  expose aws_profile_name for parity with the LLM form.
- base1.py: AWSBedrockLLMParameters and AWSBedrockEmbeddingParameters
  now strip empty access-key values from the validated kwargs before
  returning, so empty strings don't override boto3's default chain.
  AWSBedrockEmbeddingParameters fields gain explicit None defaults
  and an aws_profile_name field.

Backward-compatible: existing adapters with access keys filled in
continue to work unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [FEAT] Add Authentication Type selector to Bedrock adapter form

Add an explicit `auth_type` selector with two options, making the auth
choice clear to users:

- "Access Keys" (default): existing flow, keys required
- "IAM Role / Instance Profile (on-prem AWS only)": no fields; relies on
  boto3's default credential chain (IRSA on EKS, task role on ECS,
  instance profile on EC2). Description on the selector explicitly notes
  this option is only for AWS-hosted Unstract deployments.

The form-only auth_type field is stripped before LiteLLM validation in
both AWSBedrockLLMParameters.validate() and AWSBedrockEmbeddingParameters.
validate(). Empty access keys continue to be stripped so boto3 falls
through to the default chain even when the access_keys arm is selected
without values (matches the S3/MinIO connector pattern).

Backward-compatible: legacy adapters without auth_type behave as
"Access Keys" mode (the default), and existing keys are forwarded
unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [REVIEW] Address Bedrock auth_type review feedback

Fixes the P0/P1 issues raised by greptile-apps and jaseemjaskp on
PR #1944.

Behaviour fixes:
- Stale-key leak in IAM Role mode: switching an existing adapter from
  Access Keys to IAM Role would carry truthy stored access keys through
  the strip-empty-only loop, so boto3 silently authenticated with the
  old long-lived credentials instead of falling through to the host's
  IRSA / instance-profile identity. Both LLM and embedding paths were
  affected.
- Silent acceptance of unknown auth_type: a typo (e.g. "access_key") or
  a malformed payload from a non-UI client passed through the dict
  comprehension untouched, with no enum guard.
- Cross-field validation gap: explicit Access Keys mode with blank or
  whitespace-only values silently fell through to the default
  credential chain instead of surfacing the misconfiguration.

Implementation:
- Add a module-level _resolve_bedrock_aws_credentials helper used by
  both AWSBedrockLLMParameters.validate() and AWSBedrock
  EmbeddingParameters.validate(), so the auth-type contract is
  expressed once.
  - Validates auth_type against an allowlist (None | "access_keys" |
    "iam_role"); raises ValueError on anything else.
  - iam_role: unconditionally drops aws_access_key_id and
    aws_secret_access_key.
  - access_keys (explicit): requires non-blank values; raises ValueError
    if either is empty or whitespace-only.
  - Legacy (auth_type absent): retains the lenient strip behaviour so
    pre-PR adapter configurations continue to deserialise unchanged.
- Restore aws_region_name as required (no `= None` default) on
  AWSBedrockEmbeddingParameters; only credentials may legitimately be
  absent.
- Drop the orphan aws_profile_name field from
  embedding1/static/bedrock.json: it was added for parity with the LLM
  form but lives outside the auth_type oneOf and contradicts the
  selector's "no further input" semantics. The LLM form already had
  aws_profile_name pre-PR and is left alone for backwards compatibility.

Tests:
- New tests/test_bedrock_adapter.py covers 15 cases across LLM and
  embedding adapters: legacy-no-auth-type, explicit access_keys with
  valid/blank/whitespace keys, iam_role with stale/no keys, unknown
  auth_type rejection, cross-field validation, and preservation of
  unrelated params (model_id, aws_profile_name, region, thinking).

Skipped (P2 nice-to-have):
- Comment-scope clarification, MinIO reference rewording,
  validate-mutates-caller'\''s-dict, and the LLM form description nit
  about aws_profile_name visibility. These don'\''t change behaviour
  and can be addressed in a follow-up.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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coderabbitai Bot commented May 7, 2026

Caution

Review failed

Pull request was closed or merged during review

Summary by CodeRabbit

  • New Features
    • AWS Bedrock LLM and Embedding adapters now support flexible authentication: choose between access keys or IAM role methods
    • Credential requirements are now conditional based on selected authentication type
    • Enhanced validation ensures proper handling for each authentication approach

Walkthrough

Introduces auth_type field to AWS Bedrock adapters (LLM and embedding) supporting access_keys and iam_role authentication modes. Updates JSON schemas with conditional credential requirements, adds credential resolution logic, and modifies parameter validation methods to exclude and post-process auth_type.

Changes

Bedrock Authentication Type Configuration

Layer / File(s) Summary
Schema Definition
unstract/sdk1/src/unstract/sdk1/adapters/llm1/static/bedrock.json, unstract/sdk1/src/unstract/sdk1/adapters/embedding1/static/bedrock.json
Introduces auth_type field (enum: access_keys, iam_role; default: access_keys) with conditional dependencies: access_keys requires aws_access_key_id and aws_secret_access_key; iam_role requires neither. Removes unconditional credential requirements from top-level required.
Credential Resolution Logic
unstract/sdk1/src/unstract/sdk1/adapters/base1.py
Adds _resolve_bedrock_aws_credentials() helper (lines 477–540) that validates auth_type against supported modes, enforces non-blank keys when auth_type == "access_keys", drops keys when auth_type == "iam_role", and leniently strips blank keys when auth_type is absent (legacy).
LLM Parameter Validation
unstract/sdk1/src/unstract/sdk1/adapters/base1.py
AWSBedrockLLMParameters.validate() (lines 593–611) excludes auth_type from Pydantic input construction, applies _resolve_bedrock_aws_credentials() to validated kwargs using result_metadata as the auth_type source.
Embedding Parameter Validation
unstract/sdk1/src/unstract/sdk1/adapters/base1.py
AWSBedrockEmbeddingParameters.validate() (lines 1048–1057) strips auth_type before Pydantic validation, then applies _resolve_bedrock_aws_credentials() to enforce credential handling based on auth mode.
Tests
unstract/sdk1/tests/test_bedrock_adapter.py
Comprehensive test suite (246 lines) covering legacy inputs without auth_type, both access_keys and iam_role modes, credential removal/preservation, error cases (blank keys, unknown auth_type), and parameter survival across validation.

Sequence Diagram

sequenceDiagram
    participant User as User Config
    participant Schema as Schema Validation
    participant Validate as validate() Method
    participant Resolve as _resolve_bedrock_aws_credentials
    participant Output as Validated Output

    User->>Schema: Provide config with optional auth_type
    Schema->>Validate: Pass validated schema config
    Validate->>Validate: Extract & remove auth_type from payload
    Validate->>Validate: Call Pydantic with remaining fields
    Validate->>Resolve: Pass validated kwargs + auth_type
    
    alt auth_type = "access_keys"
        Resolve->>Resolve: Enforce non-blank keys (raise if blank)
        Resolve-->>Output: Keep credential fields
    else auth_type = "iam_role"
        Resolve->>Resolve: Remove credential fields
        Resolve-->>Output: Drop access keys
    else auth_type absent (legacy)
        Resolve->>Resolve: Strip only blank credential values
        Resolve-->>OUTPUT: Preserve non-blank keys
    end
    
    Output-->>User: Return processed validated config
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 38.10% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies this as a back-merge of a Bedrock IAM Role auth feature from a hotfix branch to main, referencing the original PR #1944.
Description check ✅ Passed The description is comprehensive and complete, covering all required template sections including What, Why, How, impact assessment, dependencies, and testing notes with appropriate detail for a back-merge PR.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

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github-actions Bot commented May 7, 2026

Test Results

Summary
  • Runner Tests: 11 passed, 0 failed (11 total)
  • SDK1 Tests: 245 passed, 0 failed (245 total)

Runner Tests - Full Report
filepath function $$\textcolor{#23d18b}{\tt{passed}}$$ SUBTOTAL
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_logs}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_cleanup}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_cleanup\_skip}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_client\_init}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_image\_exists}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_image}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_container\_run\_config}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_container\_run\_config\_without\_mount}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_run\_container}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_get\_image\_for\_sidecar}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$ $$\textcolor{#23d18b}{\tt{test\_sidecar\_container}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{11}}$$ $$\textcolor{#23d18b}{\tt{11}}$$
SDK1 Tests - Full Report
filepath function $$\textcolor{#23d18b}{\tt{passed}}$$ SUBTOTAL
$$\textcolor{#23d18b}{\tt{tests/file\_storage/test\_impl\_rm.py}}$$ $$\textcolor{#23d18b}{\tt{TestRmHappyPath.test\_bulk\_delete\_succeeds}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/patches/test\_litellm\_cohere\_timeout.py}}$$ $$\textcolor{#23d18b}{\tt{TestPatchedEmbeddingSyncTimeoutForwarding.test\_timeout\_passed\_to\_client\_post}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_exceptions\_match\_but\_predicate\_false}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_platform\_service\_call\_exists}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_prompt\_service\_call\_exists}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_platform\_service\_decorator\_retries\_on\_connection\_error}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_prompt\_service\_decorator\_retries\_on\_timeout}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_warning\_logged\_on\_retry}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_info\_logged\_on\_success\_after\_retry}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$ $$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_exception\_logged\_on\_giving\_up}}$$ $$\textcolor{#23d18b}{\tt{1}}$$ $$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{245}}$$ $$\textcolor{#23d18b}{\tt{245}}$$

@pk-zipstack pk-zipstack closed this May 7, 2026
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greptile-apps Bot commented May 7, 2026

Greptile Summary

This back-merge brings the IAM Role / Instance Profile auth mode for AWS Bedrock (originally from PR #1944) into main. The change adds a shared _resolve_bedrock_aws_credentials helper that translates a new auth_type UI selector into the correct credential handling for LiteLLM/boto3, and updates both Bedrock JSON schemas to conditionally require access key fields only when the user picks the access_keys auth type.

  • base1.py: New _resolve_bedrock_aws_credentials handles three branches — IAM role (drops keys), access keys (validates non-blank), and legacy/no-auth_type (strips blanks silently for backward compat). Both AWSBedrockLLMParameters.validate and AWSBedrockEmbeddingParameters.validate now strip auth_type before Pydantic and delegate credential logic to this shared helper.
  • bedrock.json (LLM + Embedding): Credentials moved into a dependencies.auth_type conditional block; auth_type defaults to "access_keys" so the UI is backward-compatible with new adapter creation.
  • test_bedrock_adapter.py: 15 unit tests covering all auth branches for both adapter types; the embedding suite is missing a whitespace-key rejection test that exists for the LLM suite.

Confidence Score: 4/5

Safe to merge; the auth logic is well-structured, legacy adapters are handled through the None branch, and credentials are correctly excluded from Pydantic before being resolved by the shared helper.

The implementation is clean and the three auth branches are each tested. The two findings are a potentially confusing UI label that could steer users toward storing long-lived credentials unnecessarily, and a minor test-coverage gap in the embedding whitespace-key case — neither affects runtime correctness.

The enumNames label in both bedrock.json files warrants a quick wording pass to avoid confusion for users running on real AWS infrastructure.

Important Files Changed

Filename Overview
unstract/sdk1/src/unstract/sdk1/adapters/base1.py Adds _resolve_bedrock_aws_credentials helper and auth_type handling to both LLM and Embedding Bedrock adapters; credentials are correctly excluded from Pydantic validation and resolved post-dump.
unstract/sdk1/src/unstract/sdk1/adapters/llm1/static/bedrock.json Moves aws_access_key_id/aws_secret_access_key from top-level properties into a JSON Schema dependencies block keyed on auth_type; adds auth_type enum selector with default access_keys.
unstract/sdk1/src/unstract/sdk1/adapters/embedding1/static/bedrock.json Mirrors the LLM JSON schema change for the embedding adapter; identical auth_type dependency structure applied.
unstract/sdk1/tests/test_bedrock_adapter.py New test file with 15 tests covering IAM role, access keys, legacy (no auth_type), blank/whitespace key rejection, and unknown auth_type for both LLM and embedding paths; missing whitespace-key variant for the embedding adapter.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    A[validate called with adapter_metadata] --> B{auth_type present?}
    B -- "None (legacy)" --> C[Strip blank/None key fields silently]
    B -- access_keys --> D{aws_access_key_id and aws_secret_access_key non-blank?}
    B -- iam_role --> E[Pop both key fields unconditionally]
    B -- unknown --> F[Raise ValueError]
    D -- Yes --> G[Keep key fields in validated dict]
    D -- No --> H[Raise ValueError]
    C --> I[Return validated kwargs to LiteLLM]
    E --> I
    G --> I
    H --> Z[Error surfaced to caller]
    F --> Z
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Fix All in Claude Code

Prompt To Fix All With AI
Fix the following 2 code review issues. Work through them one at a time, proposing concise fixes.

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### Issue 1 of 2
unstract/sdk1/src/unstract/sdk1/adapters/llm1/static/bedrock.json:76
**Misleading enum display label for IAM role option**

The label `"IAM Role / Instance Profile (on-prem AWS only)"` uses "on-prem AWS" in a way that may discourage users who are running Unstract on actual AWS infrastructure (ECS tasks with a task role, EKS pods with IRSA, EC2 with an instance profile) from selecting this mode. All those are cloud-AWS deployments, not "on-prem." A user reading this label could reasonably conclude the option doesn't apply to them and fall back to storing long-lived access keys instead. The full `description` text is accurate — the parenthetical on the display name is the problem. The same label is used in `embedding1/static/bedrock.json`.

### Issue 2 of 2
unstract/sdk1/tests/test_bedrock_adapter.py:185-200
**Missing whitespace-key test for the embedding adapter**

The LLM suite has `test_llm_access_keys_mode_whitespace_keys_raises` which verifies that a whitespace-only `aws_secret_access_key` is rejected. The embedding suite only has `test_embedding_access_keys_mode_blank_keys_raises` (empty string) but no equivalent whitespace test. The same `_resolve_bedrock_aws_credentials` code path runs for both adapters, so a regression in the `.strip()` check would go undetected for the embedding path.

Reviews (1): Last reviewed commit: "[HOTFIX] Add IAM Role / Instance Profile..." | Re-trigger Greptile

],
"enumNames": [
"Access Keys",
"IAM Role / Instance Profile (on-prem AWS only)"
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P2 Misleading enum display label for IAM role option

The label "IAM Role / Instance Profile (on-prem AWS only)" uses "on-prem AWS" in a way that may discourage users who are running Unstract on actual AWS infrastructure (ECS tasks with a task role, EKS pods with IRSA, EC2 with an instance profile) from selecting this mode. All those are cloud-AWS deployments, not "on-prem." A user reading this label could reasonably conclude the option doesn't apply to them and fall back to storing long-lived access keys instead. The full description text is accurate — the parenthetical on the display name is the problem. The same label is used in embedding1/static/bedrock.json.

Prompt To Fix With AI
This is a comment left during a code review.
Path: unstract/sdk1/src/unstract/sdk1/adapters/llm1/static/bedrock.json
Line: 76

Comment:
**Misleading enum display label for IAM role option**

The label `"IAM Role / Instance Profile (on-prem AWS only)"` uses "on-prem AWS" in a way that may discourage users who are running Unstract on actual AWS infrastructure (ECS tasks with a task role, EKS pods with IRSA, EC2 with an instance profile) from selecting this mode. All those are cloud-AWS deployments, not "on-prem." A user reading this label could reasonably conclude the option doesn't apply to them and fall back to storing long-lived access keys instead. The full `description` text is accurate — the parenthetical on the display name is the problem. The same label is used in `embedding1/static/bedrock.json`.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Claude Code

Comment on lines +185 to +200
"""Embedding-side parity with the LLM stale-key fix."""
out = AWSBedrockEmbeddingParameters.validate(
{
"auth_type": "iam_role",
"model": "amazon.titan-embed-text-v2:0",
"region_name": "us-east-1",
"aws_access_key_id": "STALE_KEY",
"aws_secret_access_key": "STALE_SECRET",
}
)
assert "aws_access_key_id" not in out
assert "aws_secret_access_key" not in out
assert out["aws_region_name"] == "us-east-1"


def test_embedding_iam_role_mode_with_no_keys() -> None:
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P2 Missing whitespace-key test for the embedding adapter

The LLM suite has test_llm_access_keys_mode_whitespace_keys_raises which verifies that a whitespace-only aws_secret_access_key is rejected. The embedding suite only has test_embedding_access_keys_mode_blank_keys_raises (empty string) but no equivalent whitespace test. The same _resolve_bedrock_aws_credentials code path runs for both adapters, so a regression in the .strip() check would go undetected for the embedding path.

Prompt To Fix With AI
This is a comment left during a code review.
Path: unstract/sdk1/tests/test_bedrock_adapter.py
Line: 185-200

Comment:
**Missing whitespace-key test for the embedding adapter**

The LLM suite has `test_llm_access_keys_mode_whitespace_keys_raises` which verifies that a whitespace-only `aws_secret_access_key` is rejected. The embedding suite only has `test_embedding_access_keys_mode_blank_keys_raises` (empty string) but no equivalent whitespace test. The same `_resolve_bedrock_aws_credentials` code path runs for both adapters, so a regression in the `.strip()` check would go undetected for the embedding path.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Claude Code

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