[FIX] Executor Queue for Agentic extraction

[harini-venkataraman]

What

• Add celery_executor_agentic queue to the executor worker so it can process agentic prompt studio execution tasks
• Fix _sanitize_null_values to preserve top-level "NA" strings instead of converting them to None
• Fix email type conversion to skip redundant LLM call when the answer is already "NA"
• Remove deprecated line_item output type from prompt studio select choices
• Make executor health check dynamically report queues from the CELERY_QUEUES_EXECUTOR env var instead of hardcoding

Why

• The agentic executor dispatches tasks to the celery_executor_agentic queue, but no worker was consuming from it, causing agentic prompt studio executions to hang indefinitely
• Top-level "NA" values were being silently converted to None, which changed the semantics of the extraction output and caused incorrect downstream behavior
• Email type conversion was making an unnecessary LLM call for "NA" answers that would just return "NA" again
• The line_item output type was removed in favor of table, and the stale entry needed cleanup

How

• Queue registration: Added EXECUTOR_AGENTIC to QueueName enum, registered it as an additional queue in WorkerRegistry for the executor worker type, and updated docker-compose.yaml to include both celery_executor_legacy and celery_executor_agentic in the default CELERY_QUEUES_EXECUTOR env var
• Health check: Updated worker.py to read queues dynamically from the CELERY_QUEUES_EXECUTOR environment variable instead of returning a hardcoded list
• NA sanitization: Modified _sanitize_null_values to only sanitize "NA" values inside nested lists, preserving top-level "NA" strings as-is
• Email conversion: Added an early return for "NA" answers in the email type conversion path, and switched to using answer_prompt_svc.run_completion directly instead of the _convert_scalar_answer helper
• Tests: Updated test_answer_prompt.py to reflect the new NA preservation behavior

Can this PR break any existing features? If yes, please list possible items. If no, please explain why. (PS: Admins do not merge the PR without this section filled)

• Low risk for queue changes: The executor worker now consumes from an additional queue (celery_executor_agentic). Existing legacy queue processing is unaffected since the primary queue remains celery_executor_legacy.
• Behavioral change in NA sanitization: Top-level "NA" strings in extraction outputs will no longer be converted to None. This is an intentional fix — downstream consumers that relied on None for "NA" answers may need to handle the string "NA" instead. Nested list "NA" values are still sanitized to None.
• Removal of line_item output type: Any existing prompts configured with line_item output type would no longer have that option. This should be safe as line_item has been superseded by table.

Database Migrations

• None

Env Config

NA

Relevant Docs

• N/A

Related Issues or PRs

• UN-3266 [FEAT] Async Executor Backend for Prompt Studio #1849 (UN-3266 Async Executor Backend for Prompt Studio — parent feature PR)

Dependencies Versions

• No new dependencies

Notes on Testing

• Existing tests updated in workers/tests/test_answer_prompt.py to validate the new NA preservation behavior
• Verify agentic prompt studio executions are picked up and processed by the executor worker
• Verify legacy prompt studio executions continue to work as before
• Check executor health endpoint reports both queues

Screenshots

N/A

Checklist

I have read and understood the Contribution Guidelines.

[coderabbitai]

Walkthrough

Removed a prompt output option, adjusted Celery retry settings, added an agentic executor queue and surfaced it in configs/health checks, refined NA handling and email extraction in the legacy executor, tightened error handling/logging in destination and file-structure tasks, and updated tests to match NA behavior.

Changes

Cohort / File(s)	Summary
Queue & Worker config docker/docker-compose.yaml, workers/shared/enums/worker_enums_base.py, workers/shared/infrastructure/config/registry.py, workers/executor/worker.py	Added celery_executor_agentic queue: new enum QueueName.EXECUTOR_AGENTIC, added to WorkerType.EXECUTOR.additional_queues, and docker-compose default CELERY_QUEUES_EXECUTOR now includes celery_executor_agentic. check_executor_health() now reads and reports queues from CELERY_QUEUES_EXECUTOR (comma-separated, default celery_executor_legacy).
Celery task retry config backend/workflow_manager/workflow_v2/workflow_helper.py	Modified Celery task decorator for execute_bin: removed autoretry_for, retry_backoff, and retry_backoff_max, leaving max_retries=0 and retry_jitter=True.
Legacy executor: NA & email handling workers/executor/executors/legacy_executor.py, workers/tests/test_answer_prompt.py	Changed _sanitize_null_values() to preserve top-level "NA"/"na" strings while still sanitizing nested "NA" occurrences; updated _apply_type_conversion() for email to bypass LLM extraction when answer is "na" (case-insensitive) and return "na" directly. Corresponding tests updated to expect top-level "NA" to remain as string.
Prompt Studio choices backend/prompt_studio/prompt_studio_core_v2/static/select_choices.json	Removed the line_item option from output_type choices.
File structure task logging & error handling workers/file_processing/structure_tool_task.py	Expanded exception handling around output writes to catch any Exception, added exc_info=True on error logs, and updated success log to include INFILE and METADATA_DIR values; returns same ExecutionResult outcomes on success/failure.
Destination handling & diagnostics workers/shared/workflow/destination_connector.py	When result.has_hitl is false and there is neither tool_execution_result nor file_ctx.execution_error, now log an error, record via log_file_error(...), and raise RuntimeError(...) for both filesystem and database flows. Also added warning logs for multiple missing-path conditions in get_tool_execution_result_from_execution_context.

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description check	✅ Passed	The description is comprehensive and follows the template structure, providing clear sections for What, Why, How, impact analysis, and testing notes with all critical information filled in.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
Title check	✅ Passed	The title '[FIX] Executor Queue for Agentic extraction' clearly summarizes the main objective of adding agentic executor queue support, which is the primary focus of the PR across multiple files.

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✨ Finishing Touches

📝 Generate docstrings

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• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch fix/agentic-executor-queue

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[greptile-apps]

Greptile Summary

This PR fixes agentic prompt studio executions hanging indefinitely by registering the celery_executor_agentic queue on the executor worker, alongside three targeted correctness fixes: preserving top-level "NA" strings in extraction output instead of silently converting them to None, skipping a redundant LLM call for "NA" email answers, and removing the stale line_item output type from prompt studio.

Key changes:

• QueueName.EXECUTOR_AGENTIC added to the enum and registered as an additional_queue in WorkerRegistry for WorkerType.EXECUTOR; docker-compose default updated accordingly
• worker.py health check now reads queues dynamically from CELERY_QUEUES_EXECUTOR env var instead of hardcoding celery_executor_legacy
• _sanitize_null_values now only converts "NA" → None inside nested lists, leaving top-level string fields untouched
• Email type conversion short-circuits immediately when the answer is already "NA", and calls answer_prompt_svc.run_completion directly (bypassing the old _convert_scalar_answer helper that was returning None)
• Tests in test_answer_prompt.py updated to assert the new preservation behavior
• autoretry_for and related retry options removed from the execute_bin Celery task (previously flagged as contradictory with max_retries=0)

Confidence Score: 5/5

Safe to merge — the queue registration fix is additive (legacy queue unaffected), and the NA-preservation change is intentional and tested.

All remaining comments are P2 style/clarification items. The one logic comment flags a potential inconsistency (DATE still converts "NA" → None via _convert_scalar_answer while EMAIL now preserves it), but this appears intentional and doesn't break anything. No P0/P1 issues remain.

workers/executor/executors/legacy_executor.py — verify the DATE/"NA"→None behavior is intentionally left unchanged relative to the EMAIL fix.

Important Files Changed

Filename	Overview
workers/executor/executors/legacy_executor.py	Two targeted fixes: (1) _sanitize_null_values no longer converts top-level "NA" strings to None; (2) email type conversion short-circuits on "NA" instead of making an LLM call. Minor inconsistency: DATE type still converts "NA" → None via _convert_scalar_answer while EMAIL now preserves it.
workers/executor/worker.py	Health check now reads queues dynamically from CELERY_QUEUES_EXECUTOR env var via split(","); minor risk of whitespace in token names if env var has spaces around commas.
workers/shared/enums/worker_enums_base.py	Adds EXECUTOR_AGENTIC = "celery_executor_agentic" to QueueName enum cleanly — no duplicate names, no import issues.
workers/shared/infrastructure/config/registry.py	Adds EXECUTOR_AGENTIC as an additional queue for the executor worker type; task routing is unchanged (agentic tasks are expected to be dispatched with an explicit queue, not via route config).
docker/docker-compose.yaml	Default CELERY_QUEUES_EXECUTOR now includes celery_executor_agentic alongside celery_executor_legacy.
workers/tests/test_answer_prompt.py	Tests updated to assert "NA" strings are preserved at the top level instead of being converted to None; accurately reflects the new _sanitize_null_values behavior.
backend/prompt_studio/prompt_studio_core_v2/static/select_choices.json	Removes deprecated line_item output type from select choices; straightforward cleanup.
backend/workflow_manager/workflow_v2/workflow_helper.py	Removes autoretry_for and related retry options from the execute_bin Celery task decorator, consistent with max_retries=0 intent.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    A[Agentic task dispatched\nqueue: celery_executor_agentic] --> B{Executor Worker\nlistens on both queues}
    B --> C[celery_executor_legacy\nprimary queue]
    B --> D[celery_executor_agentic\nnew additional queue]
    C --> E[LegacyExecutor._handle_answer_prompt]
    D --> E
    E --> F{output_type?}
    F -->|EMAIL| G{answer == 'NA'?}
    G -->|yes| H[preserve answer as 'NA' string]
    G -->|no| I[run_completion LLM call]
    F -->|DATE| J[_convert_scalar_answer\n'NA' → None unchanged]
    F -->|TEXT / other| K[store raw answer]
    K --> L[_sanitize_null_values]
    H --> L
    I --> L
    J --> L
    L --> M{value is list?}
    M -->|yes| N[convert 'NA' items → None]
    M -->|no - dict| O[_sanitize_dict_values]
    M -->|no - string top-level| P[preserve as-is NEW BEHAVIOR]

Loading

Prompt To Fix All With AI

This is a comment left during a code review.
Path: workers/executor/worker.py
Line: 46-48

Comment:
**Potential whitespace in queue names from env var**

`split(",")` on a value like `"celery_executor_legacy, celery_executor_agentic"` (with a space after the comma) will produce `[" celery_executor_agentic"]` with a leading space. While this only affects the health check response here, it's good practice to strip individual tokens so the output is reliably clean:

```suggestion
                "queues": [
                    q.strip()
                    for q in os.environ.get(
                        "CELERY_QUEUES_EXECUTOR", "celery_executor_legacy"
                    ).split(",")
                    if q.strip()
                ],
```

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

---

This is a comment left during a code review.
Path: workers/executor/executors/legacy_executor.py
Line: 1699-1711

Comment:
**Inconsistent NA handling between EMAIL and DATE types**

After this change, the two types diverge in how they handle an `"NA"` answer:

- **EMAIL** (updated here): `"NA"` → `"NA"` string preserved
- **DATE** (unchanged, line 1723): still calls `_convert_scalar_answer`, which returns `None` for `"NA"` answers

`_convert_scalar_answer` (lines 1268–1269):
```python
if answer.lower() == "na":
    return None
```

If the intent behind the `_sanitize_null_values` fix is that `"NA"` values in structured output should be preserved as strings (the PR description says "Top-level 'NA' values were being silently converted to None"), then DATE has the same problem through a different code path. Was the inconsistency intentional (i.e., `None` is semantically correct for missing dates but not for missing emails)?

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

_{Reviews (6): Last reviewed commit: "Revert ETL destination pipeline changes ..." | Re-trigger Greptile}

[chandrasekharan-zipstack]

Change the PR title to follow the format

[coderabbitai]

Actionable comments posted: 3

🧹 Nitpick comments (2)

workers/executor/executors/legacy_executor.py (1)

1056-1070: Docstring is now inconsistent with actual behavior.

The docstring on line 1060 states "Replace 'NA' strings with None in structured output" but the implementation now only sanitizes "NA" within nested lists and dicts, preserving top-level "NA" strings. This could mislead future maintainers.

📝 Proposed docstring update

     `@staticmethod`
     def _sanitize_null_values(
         structured_output: dict[str, Any],
     ) -> dict[str, Any]:
-        """Replace 'NA' strings with None in structured output."""
+        """Replace 'NA' strings with None in nested structures only.
+        
+        Top-level 'NA' values are preserved. Only 'NA' strings inside
+        lists or nested dicts are converted to None.
+        """
         for k, v in structured_output.items():

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@workers/executor/executors/legacy_executor.py` around lines 1056 - 1070,
Docstring for LegacyExecutor._sanitize_null_values is inaccurate: it claims to
"Replace 'NA' strings with None in structured output" but the method only
replaces "NA" within nested lists/dicts (using
LegacyExecutor._sanitize_dict_values) and leaves top-level "NA" strings
untouched; update the docstring to accurately describe the behavior (e.g.,
"Sanitize nested list/dict values by replacing 'NA' strings with None; top-level
string values are not modified") and reference the helper
LegacyExecutor._sanitize_dict_values in the docstring so maintainers know nested
sanitization is delegated.

workers/executor/worker.py (1)

47-49: Prefer the resolved worker config as the health-check source of truth.

If this is meant to report the queues this process actually started with, config.queue_config.to_queue_list() is safer than re-splitting CELERY_QUEUES_EXECUTOR and carrying a separate legacy-only fallback.

♻️ Proposed refactor

-                "queues": os.environ.get(
-                    "CELERY_QUEUES_EXECUTOR", "celery_executor_legacy"
-                ).split(","),
+                "queues": (
+                    config.queue_config.to_queue_list()
+                    if config
+                    else WorkerRegistry.get_queue_config(
+                        WorkerType.EXECUTOR
+                    ).to_queue_list()
+                ),

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@workers/executor/worker.py` around lines 47 - 49, The health-check should
report the actual queues the process started with rather than re-splitting the
CELERY_QUEUES_EXECUTOR env var: replace the current use of
os.environ.get(...).split(",") in the "queues" field with the resolved worker
config call config.queue_config.to_queue_list() (or equivalent accessor on your
QueueConfig) so the health-check uses the authoritative, possibly-processed
queue list the worker actually started with; keep a minimal fallback only if
config.queue_config may be unset (use an empty list or existing legacy default).

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@backend/workflow_manager/workflow_v2/workflow_helper.py`:
- Around line 598-603: The `@celery_app.task` decorator call for async_execute_bin
is broken because the closing parenthesis comes before retry_jitter=True; fix it
by moving retry_jitter=True inside the decorator argument list and removing the
stray closing paren so the decorator reads something like
`@celery_app.task`(name="async_execute_bin", max_retries=0, retry_jitter=True)
directly above the async_execute_bin function; ensure indentation is corrected
so the decorator encloses all arguments and the function registers properly.

In `@workers/executor/executors/legacy_executor.py`:
- Around line 1698-1711: Add a clarifying inline comment near the EMAIL branch
in legacy_executor.py explaining that for PSKeys.EMAIL the literal string "NA"
is intentionally preserved (checked via answer.lower() == "na" and assigned
directly to structured_output[prompt_name]) whereas other types (NUMBER,
BOOLEAN, DATE) map "NA" to None; reference the output_type == PSKeys.EMAIL
branch, the answer.lower() == "na" check, and the use of
answer_prompt_svc.run_completion so future maintainers understand this
deliberate discrepancy and its impact on downstream consumers.

In `@workers/shared/enums/worker_enums_base.py`:
- Around line 27-31: Remove the duplicate IDE_CALLBACK member from the
WorkerType enum so it's defined only once, remove the extra repeated
`@classmethod` decorator on the from_directory_name method so it has a single
`@classmethod`, and deduplicate entries in the port_mapping dict so each
WorkerType (notably WorkerType.EXECUTOR and WorkerType.IDE_CALLBACK) appears
only once with the correct port value; update port_mapping to keep the intended
port for each unique key and remove the redundant mapping(s).

---

Nitpick comments:
In `@workers/executor/executors/legacy_executor.py`:
- Around line 1056-1070: Docstring for LegacyExecutor._sanitize_null_values is
inaccurate: it claims to "Replace 'NA' strings with None in structured output"
but the method only replaces "NA" within nested lists/dicts (using
LegacyExecutor._sanitize_dict_values) and leaves top-level "NA" strings
untouched; update the docstring to accurately describe the behavior (e.g.,
"Sanitize nested list/dict values by replacing 'NA' strings with None; top-level
string values are not modified") and reference the helper
LegacyExecutor._sanitize_dict_values in the docstring so maintainers know nested
sanitization is delegated.

In `@workers/executor/worker.py`:
- Around line 47-49: The health-check should report the actual queues the
process started with rather than re-splitting the CELERY_QUEUES_EXECUTOR env
var: replace the current use of os.environ.get(...).split(",") in the "queues"
field with the resolved worker config call config.queue_config.to_queue_list()
(or equivalent accessor on your QueueConfig) so the health-check uses the
authoritative, possibly-processed queue list the worker actually started with;
keep a minimal fallback only if config.queue_config may be unset (use an empty
list or existing legacy default).

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

---

ℹ️ Review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: 335d2886-4446-4367-9349-e179ae7cb57e

📥 Commits

Reviewing files that changed from the base of the PR and between 2c8b899 and c6cdffb.

📒 Files selected for processing (8)

• backend/prompt_studio/prompt_studio_core_v2/static/select_choices.json
• backend/workflow_manager/workflow_v2/workflow_helper.py
• docker/docker-compose.yaml
• workers/executor/executors/legacy_executor.py
• workers/executor/worker.py
• workers/shared/enums/worker_enums_base.py
• workers/shared/infrastructure/config/registry.py
• workers/tests/test_answer_prompt.py

💤 Files with no reviewable changes (1)

• backend/prompt_studio/prompt_studio_core_v2/static/select_choices.json

[coderabbitai]

Actionable comments posted: 2

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@workers/shared/workflow/destination_connector.py`:
- Around line 661-672: The error message for the missing tool execution result
is misleading because the code raises a RuntimeError (failing the operation)
rather than merely "skipping" the filesystem copy; update the message used in
logger.error, log_file_error (with exec_ctx.workflow_log and
exec_ctx.file_execution_id), and the RuntimeError to reflect failure (e.g.,
"filesystem copy failed" or "cannot perform filesystem copy") and keep the
existing context from result.tool_execution_result and file_ctx.execution_error
when constructing the message.
- Around line 711-721: The error message says "database insertion skipped" but
the code still raises RuntimeError; update the behavior in the block that builds
error_msg (references: file_ctx.file_name, logger, log_file_error,
exec_ctx.file_execution_id) so it matches the message: do not raise RuntimeError
— instead log the error and return/exit the enclosing function early (or
explicitly return None) to skip database insertion, or if an exception is
desired change the message to reflect a raised error; prefer removing the raise
RuntimeError(error_msg) and returning to mirror the filesystem handler's
"skipped" behavior.

🪄 Autofix (Beta)

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes

---

ℹ️ Review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: 49bfbde0-46e7-44f6-be53-72fb0dab43bb

📥 Commits

Reviewing files that changed from the base of the PR and between c6cdffb and 1eae4e2.

📒 Files selected for processing (5)

• backend/workflow_manager/workflow_v2/workflow_helper.py
• docker/docker-compose.yaml
• workers/file_processing/structure_tool_task.py
• workers/shared/enums/worker_enums_base.py
• workers/shared/workflow/destination_connector.py

💤 Files with no reviewable changes (1)

• backend/workflow_manager/workflow_v2/workflow_helper.py

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[github-actions]

Test Results

Summary

• ✅ Runner Tests: 11 passed, 0 failed (11 total)
• ✅ SDK1 Tests: 178 passed, 0 failed (178 total)

---

Runner Tests - Full Report

filepath	function	$$\textcolor{#23d18b}{\tt{passed}}$$	SUBTOTAL
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$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_cleanup}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_cleanup\_skip}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_client\_init}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_get\_image\_exists}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_get\_image}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_get\_container\_run\_config}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_get\_container\_run\_config\_without\_mount}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_run\_container}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_get\_image\_for\_sidecar}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{runner/src/unstract/runner/clients/test\_docker.py}}$$	$$\textcolor{#23d18b}{\tt{test\_sidecar\_container}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$		$$\textcolor{#23d18b}{\tt{11}}$$	$$\textcolor{#23d18b}{\tt{11}}$$

SDK1 Tests - Full Report

filepath	function	$$\textcolor{#23d18b}{\tt{passed}}$$	SUBTOTAL
$$\textcolor{#23d18b}{\tt{tests/patches/test\_litellm\_cohere\_timeout.py}}$$	$$\textcolor{#23d18b}{\tt{TestPatchedEmbeddingSyncTimeoutForwarding.test\_timeout\_passed\_to\_client\_post}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/patches/test\_litellm\_cohere\_timeout.py}}$$	$$\textcolor{#23d18b}{\tt{TestPatchedEmbeddingSyncTimeoutForwarding.test\_none\_timeout\_passed\_to\_client\_post}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/test\_platform.py}}$$	$$\textcolor{#23d18b}{\tt{TestPlatformHelperRetry.test\_retryable\_http\_errors}}$$	$$\textcolor{#23d18b}{\tt{3}}$$	$$\textcolor{#23d18b}{\tt{3}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestIsRetryableError.test\_http\_error\_non\_retryable\_status\_codes}}$$	$$\textcolor{#23d18b}{\tt{5}}$$	$$\textcolor{#23d18b}{\tt{5}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestIsRetryableError.test\_os\_error\_non\_retryable\_errno}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
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$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCalculateDelay.test\_exponential\_backoff\_without\_jitter}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCalculateDelay.test\_exponential\_backoff\_with\_jitter}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCalculateDelay.test\_max\_delay\_cap}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCalculateDelay.test\_max\_delay\_cap\_with\_jitter}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_successful\_call\_first\_attempt}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_retry\_after\_transient\_failure}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_max\_retries\_exceeded}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_retry\_with\_custom\_predicate}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_no\_retry\_with\_predicate\_false}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryWithExponentialBackoff.test\_exception\_not\_in\_tuple\_not\_retried}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_default\_configuration}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_environment\_variable\_configuration}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_invalid\_max\_retries}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_invalid\_base\_delay}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_invalid\_multiplier}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_jitter\_values}}$$	$$\textcolor{#23d18b}{\tt{2}}$$	$$\textcolor{#23d18b}{\tt{2}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_custom\_exceptions\_only}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_custom\_predicate\_only}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_both\_exceptions\_and\_predicate}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestCreateRetryDecorator.test\_exceptions\_match\_but\_predicate\_false}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_platform\_service\_call\_exists}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_retry\_prompt\_service\_call\_exists}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_platform\_service\_decorator\_retries\_on\_connection\_error}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestPreconfiguredDecorators.test\_prompt\_service\_decorator\_retries\_on\_timeout}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_warning\_logged\_on\_retry}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_info\_logged\_on\_success\_after\_retry}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{tests/utils/test\_retry\_utils.py}}$$	$$\textcolor{#23d18b}{\tt{TestRetryLogging.test\_exception\_logged\_on\_giving\_up}}$$	$$\textcolor{#23d18b}{\tt{1}}$$	$$\textcolor{#23d18b}{\tt{1}}$$
$$\textcolor{#23d18b}{\tt{TOTAL}}$$		$$\textcolor{#23d18b}{\tt{178}}$$	$$\textcolor{#23d18b}{\tt{178}}$$