fix: propagate AddResult failures and log embedding errors (#2821) by muhamedfazalps · Pull Request #2830 · MervinPraison/PraisonAI

muhamedfazalps · 2026-07-09T09:00:40Z

Summary

Fixes #2821 — praisonai index reports success but Chroma stays empty when embedding fails.

When embedding fails (e.g., model access denied, API key issues), the current code silently swallows the error and counts failed chunks as successes. This PR fixes the root cause across the knowledge pipeline.

Changes

1. `knowledge.py` — Check `AddResult.success` before appending (line ~542)

Before: AddResult(success=False, id="") was truthy, so if memory_result: passed and the empty ID was appended to results, making the index command report "1 chunk" when 0 were actually stored.

After: Checks memory_result.success before appending, and logs a warning with the failure message.

2. `factories.py` — Log embedding errors (lines ~148, ~227)

Before: Embedding exceptions were caught with bare except Exception:, setting the embedding to None with no log output. Users had no way to know why indexing or searching failed.

After: Captures the exception as e and logs it at WARNING level: "Embedding failed for add/search: %s". This gives users actionable diagnostic information.

3. `retrieval.py` — Filter empty IDs (referenced in issue, not in fork)

The praisonai-code package containing retrieval.py was added to the upstream monorepo after this fork was created. The retrieval CLI fix (filtering empty IDs and reporting failure) should be applied to src/praisonai-code/praisonai_code/cli/commands/retrieval.py as a follow-up.

Impact

Before fix: praisonai index exits 0 with "✓ 1 chunks" when embedding fails; Chroma has 0 documents; praisonai search silently returns empty results
After fix: Failed chunks are logged with warnings; index results accurately reflect what was stored; embedding errors surface in logs for debugging

Acceptance criteria from issue

When embedding fails, praisonai index no longer reports false success for failed chunks
No "✓ Indexed N chunks" for chunks that failed to store (failed AddResult IDs are filtered)
Embedding errors are logged at WARNING level for user visibility
praisonai index exits non-zero when all chunks fail (requires retrieval.py fix — see note above)

Summary by CodeRabbit

Bug Fixes
- Improved handling of content embedding failures so searches and additions fail more gracefully instead of breaking the flow.
- Added clearer warnings when embedding generation cannot be completed.
- Prevented unsuccessful additions from being treated as successful, reducing incorrect results in knowledge processing.

…ison#2821) - knowledge.py: Check AddResult.success before appending ID to results; log warning when embedding/storage fails instead of silently counting failed chunks as successes - factories.py: Log embedding exceptions at WARNING level in both ChromaKnowledgeAdapter.add() and .search() instead of silently swallowing them This fixes the issue where `praisonai index` reports success but Chroma stays empty when embedding fails, and where `praisonai search` returns empty results with no explanation.

qodo-code-review · 2026-07-09T09:00:45Z

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coderabbitai · 2026-07-09T09:01:27Z

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 3ebe32c4-7975-4a62-b309-7959b267fa2f

📥 Commits

Reviewing files that changed from the base of the PR and between 32e73e9 and d5f8189.

📒 Files selected for processing (2)

src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py
src/praisonai-agents/praisonaiagents/knowledge/knowledge.py

📝 Walkthrough

Walkthrough

Embedding exception handlers in ChromaKnowledgeAdapter's search and add methods now bind and log the caught exception as a warning instead of silently ignoring it. Knowledge._process_single_input now appends a memory id to results only when the returned AddResult.success is truthy, logging a warning otherwise.

Changes

Embedding failure handling

Layer / File(s)	Summary
Adapter embedding exception logging `src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py`	`search` and `add` embedding exception handlers now capture the exception and log a warning ("Embedding failed for search/add: ...") instead of silently discarding it.
Success-flag check for stored chunk ids `src/praisonai-agents/praisonaiagents/knowledge/knowledge.py`	`_process_single_input` now appends the memory id to `all_results` only when `memory_result.success` is truthy, otherwise logs a warning and skips adding the id.

Estimated code review effort: 2 (Simple) | ~10 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Linked Issues check	⚠️ Warning	It fixes AddResult handling and logging, but does not implement the linked issue's non-zero exit behavior when all chunks fail.	Add the retrieval/index CLI check that filters empty IDs and exits non-zero when nothing is stored, and surface search failures more explicitly.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	It clearly names the main fix: handling AddResult failures and logging embedding errors.
Out of Scope Changes check	✅ Passed	The diff stays focused on embedding failure handling and chunk-result accounting, with no unrelated code paths added.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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Code Review

This pull request improves error handling and logging by capturing exceptions during embedding generation in the search and add adapters, and by checking for success before storing chunks in the knowledge processing pipeline. The review feedback recommends adhering to PEP 8 by moving the inline logging imports to the top of the file, and suggests adding 'exc_info=True' to the warning logs to preserve the full stack trace for easier debugging.

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gemini-code-assist · 2026-07-09T09:01:58Z

+        except Exception as e:
+            import logging
+            logging.getLogger(__name__).warning("Embedding failed for search: %s", e)
            query_embedding = None


To adhere to the PEP 8 style guide, imports should be placed at the top of the file rather than inline within exception blocks.

Additionally, when catching general exceptions during embedding, it is highly recommended to include 'exc_info=True' in the log call. This ensures that the full stack trace is preserved in the logs, which is crucial for diagnosing the root cause of embedding failures (e.g., API authentication issues, network timeouts, or rate limits).

Suggested change

except Exception as e:

import logging

logging.getLogger(__name__).warning("Embedding failed for search: %s", e)

query_embedding = None

except Exception as e:

import logging

logging.getLogger(__name__).warning("Embedding failed for search: %s", e, exc_info=True)

query_embedding = None

References

PEP 8: Imports should be placed at the top of the file, just after any module comments and docstrings, and before module globals and constants. ^(link)

gemini-code-assist · 2026-07-09T09:01:58Z

+        except Exception as e:
+            import logging
+            logging.getLogger(__name__).warning("Embedding failed for add: %s", e)
            content_embedding = None


To adhere to the PEP 8 style guide, imports should be placed at the top of the file rather than inline within exception blocks.

Additionally, when catching general exceptions during embedding, it is highly recommended to include 'exc_info=True' in the log call. This ensures that the full stack trace is preserved in the logs, which is crucial for diagnosing the root cause of embedding failures (e.g., API authentication issues, network timeouts, or rate limits).

Suggested change

except Exception as e:

import logging

logging.getLogger(__name__).warning("Embedding failed for add: %s", e)

content_embedding = None

except Exception as e:

import logging

logging.getLogger(__name__).warning("Embedding failed for add: %s", e, exc_info=True)

content_embedding = None

References

PEP 8: Imports should be placed at the top of the file, just after any module comments and docstrings, and before module globals and constants. ^(link)

greptile-apps · 2026-07-09T09:04:01Z

Greptile Summary

This PR fixes a silent failure in the knowledge indexing pipeline where embedding errors caused praisonai index to report false success — chunks that failed to embed were counted as stored because AddResult(success=False) is a truthy dataclass instance.

knowledge.py: Guards all_results.append with memory_result.success, so failed AddResult objects are logged as warnings instead of being counted as successful indexed chunks.
factories.py: Captures the embedding exception in both search and add paths and emits a WARNING-level log with the error detail, giving users actionable diagnostics (e.g. "API key invalid") instead of a silent None embedding.

Confidence Score: 4/5

Safe to merge — the changes are narrowly scoped to error-handling paths that were already returning early with empty/failed results.

Both changes are correct and well-targeted. The AddResult dataclass has no bool override, so the old if memory_result: guard always passed even on failure — the new memory_result.success check closes that gap cleanly. All existing AddResult(success=False) call sites in factories.py include a message, so the warning log will always carry meaningful text. The import logging inside except blocks is a minor style concern but is consistent with other exception handlers in the same file.

No files require special attention; both changed files are narrow and low-risk.

Important Files Changed

Filename	Overview
src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py	Adds exception capture and WARNING-level logging for embedding failures in both `search` and `add` paths; consistent with existing error-logging style in the file.
src/praisonai-agents/praisonaiagents/knowledge/knowledge.py	Checks `AddResult.success` before appending to results; correctly handles the case where a falsy-success but truthy dataclass instance previously slipped past the `if memory_result:` guard.

Sequence Diagram

%%{init: {'theme': 'neutral'}}%%
sequenceDiagram
    participant CLI as praisonai index
    participant K as knowledge.py
    participant F as factories.py (ChromaAdapter)
    participant EMB as embedding()
    participant DB as ChromaDB

    CLI->>K: add(input_path)
    K->>K: chunk document → memories[]
    loop for each memory chunk
        K->>F: add(chunk)
        F->>EMB: embedding(content_str)
        alt Embedding succeeds
            EMB-->>F: result.embeddings[0]
            F->>DB: collection.add(doc, embedding)
            DB-->>F: ok
            F-->>K: "AddResult(success=True, id="...")"
            K->>K: all_results.append(id) ✓
        else Embedding fails
            EMB-->>F: raises Exception
            F->>F: WARNING "Embedding failed for add: error"
            F-->>K: "AddResult(success=False, message="Failed to generate embedding")"
            K->>K: WARNING "Failed to store chunk: ..." (skip append) ✓
        end
    end
    K-->>CLI: "{results: all_results}"

%%{init: {'theme': 'base', 'themeVariables': {"darkMode": true, "background": "#0d1117", "primaryColor": "#21262d", "primaryTextColor": "#e6edf3", "primaryBorderColor": "#8b949e", "lineColor": "#8b949e", "textColor": "#e6edf3", "edgeLabelBackground": "#161b22", "actorBkg": "#21262d", "actorBorder": "#8b949e", "actorTextColor": "#e6edf3", "actorLineColor": "#8b949e", "signalColor": "#8b949e", "signalTextColor": "#e6edf3", "noteBkgColor": "#373320", "noteBorderColor": "#d4a72c", "noteTextColor": "#f0e6c0", "labelBoxBkgColor": "#21262d", "labelBoxBorderColor": "#8b949e", "labelTextColor": "#e6edf3", "loopTextColor": "#e6edf3", "activationBkgColor": "#30363d", "activationBorderColor": "#8b949e"}}}%%
sequenceDiagram
    participant CLI as praisonai index
    participant K as knowledge.py
    participant F as factories.py (ChromaAdapter)
    participant EMB as embedding()
    participant DB as ChromaDB

    CLI->>K: add(input_path)
    K->>K: chunk document → memories[]
    loop for each memory chunk
        K->>F: add(chunk)
        F->>EMB: embedding(content_str)
        alt Embedding succeeds
            EMB-->>F: result.embeddings[0]
            F->>DB: collection.add(doc, embedding)
            DB-->>F: ok
            F-->>K: "AddResult(success=True, id="...")"
            K->>K: all_results.append(id) ✓
        else Embedding fails
            EMB-->>F: raises Exception
            F->>F: WARNING "Embedding failed for add: error"
            F-->>K: "AddResult(success=False, message="Failed to generate embedding")"
            K->>K: WARNING "Failed to store chunk: ..." (skip append) ✓
        end
    end
    K-->>CLI: "{results: all_results}"

_{Reviews (1): Last reviewed commit: "fix: propagate AddResult failures and lo..." | Re-trigger Greptile}

MervinPraison · 2026-07-09T09:04:27Z

@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.

Phase 1: Review per AGENTS.md

Protocol-driven: check heavy implementations vs core SDK
Backward compatible: ensure zero feature regressions
Performance: no hot-path regressions
SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep
Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
Repo routing: agent-callable tools → PraisonAI-Tools; lifecycle plugins → PraisonAI-Plugins; optional sandbox backends → PraisonAI-Plugins (praisonai.sandbox entry point) — request changes if wrongly added to praisonaiagents/

Phase 2: FIX Valid Issues
7. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix
8. Push all code fixes directly to THIS branch (do NOT create a new PR)
9. Comment a summary of exact files modified and what you skipped

Phase 3: Final Verdict
10. If all issues are resolved, approve the PR / close the Issue
11. If blocking issues remain, request changes / leave clear action items

praisonai-triage-agent · 2026-07-09T09:04:53Z

Claude finished @MervinPraison's task —— View job

Final Architecture Review — PR #2830 ✅ Approved

Read AGENTS.md & changed files
Phase 1: Architecture review
Phase 2: Apply valid reviewer fixes (exc_info=True)
Test & push
Phase 3: Final verdict

Phase 1 — Architecture Review (per AGENTS.md)

Check	Verdict
Protocol-driven	✅ Changes stay inside heavy adapter (`ChromaKnowledgeAdapter`) + core `Knowledge` result accounting. No core protocol bloat.
Backward compatible	✅ `_process_single_input` still handles dict/list/`AddResult`/`.results` shapes; only new behavior is skipping a failed `AddResult` (which was previously a silent false-positive bug). Zero regressions.
Performance	✅ No hot-path cost; extra work only runs on the exception/failure path.
SDK value	✅ Genuine correctness fix. `AddResult(success=False)` is a truthy dataclass, so the old `if memory_result:` guard let empty IDs through, making `praisonai index` report false success. The `memory_result.success` check + embedding-error logging is a real robustness/observability win, not scope creep.
Agent class bloat	✅ N/A — no `Agent` params added.
Repo routing	✅ Correctly placed in `praisonaiagents/` (knowledge adapter internals), not Tools/Plugins.

Phase 2 — Fixes Applied

Valid reviewer feedback (Gemini):

✅ Added exc_info=True to both embedding-failure warnings so the full stack trace (auth failures, timeouts, rate limits) is preserved for diagnosis.

Files modified:

src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py — exc_info=True on search (line ~150) and add (line ~231) embedding warnings.

Skipped (with rationale):

Gemini: move import logging to top of file — Intentionally kept inline to stay consistent with the existing pattern in this same file (e.g. the ChromaDB query error handler at lines ~210–211 already uses inline import logging). Introducing a single top-level import for only these blocks would make the file less internally consistent. Not a bug — style-only, low value.
CodeRabbit pre-merge warning: non-zero exit when all chunks fail — This lives in praisonai-code's retrieval.py CLI, which is not present in this fork (added upstream after the fork was created), as the PR body already notes. Out of scope for this branch; correctly deferred as a follow-up.

Phase 3 — Verdict

Approved. The core bug fix is correct, minimal, backward-compatible, and adds real SDK value (accurate index accounting + actionable embedding diagnostics). Greptile 4/5 and CodeRabbit found no actionable code issues. The only outstanding item (CLI non-zero exit) belongs to a package not in this fork and is properly tracked as a follow-up — non-blocking for this PR.

Syntax validated on both changed files. Pushed 1 commit (exc_info=True) to fix/issue-2821-embedding-failure-handling.

--- • Branch: fix/issue-2821-embedding-failure-handling

MervinPraison · 2026-07-09T11:51:26Z

@claude this PR has merge conflicts with main. Please rebase onto latest main, resolve conflicts (keep this PR's intent, merge in newer main logic), run targeted tests, and force-push with --force-with-lease. Comment which files you resolved. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.

praisonai-triage-agent · 2026-07-09T11:53:01Z

Claude finished @MervinPraison's task —— View job

Rebase & Conflict Resolution — Complete ✅

Setup git identity & fetch main
Rebase onto origin/main (274342b1d)
Resolve conflicts (keep PR intent + newer main logic)
Run targeted tests — 14 passed
Force-push with --force-with-lease

Files resolved (2)

src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py

Kept main's cleaner logging (module-level logger, includes embedding_model name) over the fork's inline import logging blocks.
Preserved this PR's diagnostic intent by keeping exc_info=True on both the search and add embedding-failure warnings (full stack trace for auth/timeout/rate-limit debugging).
Kept main's embedding_error capture → AddResult(success=False, message=...) return path, which already satisfies the PR's goal of surfacing embedding failures.

src/praisonai-agents/praisonaiagents/knowledge/knowledge.py

Kept main's stronger behavior: on a failed AddResult, raise RuntimeError(memory_result.message ...) instead of only logging a warning. This is a superset of the PR's fix — failed chunks are no longer counted as successes and praisonai index now surfaces a non-zero failure (addressing the issue's outstanding acceptance criterion).

Skipped / Notes

Gemini "move import logging to top of file" — resolved implicitly: main already uses a module-level logger, so no inline imports remain.
Push target — the fork branch (muhamedfazalps/PraisonAI) is many commits behind main; rebasing onto latest main carries .github/workflows/* changes that the GitHub App is not permitted to push to the fork (refusing to allow a GitHub App to ... update workflow ... without workflows permission). The rebased branch was therefore force-pushed to the MervinPraison/PraisonAI mirror of this branch with --force-with-lease. Local HEAD and remote now match at 687855555.

Validation

py_compile passed on both files; no conflict markers remain.
tests/unit/trace/test_memory_knowledge_events.py → 14 passed.

--- • Branch: fix/issue-2821-embedding-failure-handling

codecov · 2026-07-09T13:41:57Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 29.15%. Comparing base (a3ce0f6) to head (d5f8189).
⚠️ Report is 2378 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2830      +/-   ##
==========================================
+ Coverage   27.15%   29.15%   +1.99%     
==========================================
  Files         635      598      -37     
  Lines       94451    69205   -25246     
  Branches    15159        0   -15159     
==========================================
- Hits        25649    20177    -5472     
+ Misses      68693    49028   -19665     
+ Partials      109        0     -109

Flag	Coverage Δ
core-tests	`?`
main-tests	`29.15% <ø> (+2.83%)`	⬆️

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MervinPraison · 2026-07-09T22:18:35Z

@claude this PR has merge conflicts with main. Please rebase onto latest main, resolve conflicts (keep this PR's intent, merge in newer main logic), run targeted tests, and force-push with --force-with-lease. Comment which files you resolved. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.

praisonai-triage-agent · 2026-07-09T22:18:59Z

Claude finished @MervinPraison's task —— View job

Rebase & Conflict Resolution — Complete ✅

Setup git identity & fetch main
Rebase onto latest origin/main
Resolve conflicts (keep PR intent + newer main logic)
Run targeted tests — 14 passed
Force-push with --force-with-lease

Files resolved (2)

src/praisonai-agents/praisonaiagents/knowledge/adapters/factories.py

Kept main's cleaner logging (module-level logger, includes embedding_model name + embedding_error capture → AddResult(success=False, message=...)) over the fork's inline import logging blocks.
Preserved this PR's diagnostic intent by keeping exc_info=True on both the search and add embedding-failure warnings (full stack trace for auth/timeout/rate-limit debugging).

src/praisonai-agents/praisonaiagents/knowledge/knowledge.py

Kept main's stronger behavior: on a failed AddResult, raise RuntimeError(memory_result.message ...) instead of only logging a warning. This is a superset of the PR's fix — failed chunks are no longer counted as successes and praisonai index surfaces a non-zero failure (addressing the issue's outstanding acceptance criterion).

Skipped / Notes

Gemini "move import logging to top of file" — resolved implicitly: main already uses a module-level logger, so no inline imports remain.
Push target — force-pushing the rebased branch to the fork (muhamedfazalps/PraisonAI) is blocked: rebasing onto latest main carries .github/workflows/* changes that the GitHub App is not permitted to push to the fork (refusing to allow a GitHub App to ... update workflow ... without workflows permission). The rebased branch was therefore force-pushed to the MervinPraison/PraisonAI mirror of this branch with --force-with-lease. Local HEAD and mirror now match at e48497022.

Validation

py_compile passed on both files; no conflict markers remain.
tests/unit/trace/test_memory_knowledge_events.py → 14 passed.

--- • Branch: fix/issue-2821-embedding-failure-handling

MervinPraison · 2026-07-09T22:26:40Z

@muhamedfazalps can you please rebase and fix merge conflicts

MervinPraison added pipeline/blocked:ci Blocked: CI not green on HEAD pipeline/blocked:manual-review Blocked: requires manual review pipeline/blocked:no-final Blocked: no FINAL @claude trigger yet pipeline/reviews-pending Waiting for CodeRabbit/Qodo/Copilot reviews labels Jul 9, 2026

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MervinPraison added pipeline/blocked:cooldown Blocked: post-push or @claude cooldown and removed pipeline/blocked:no-final Blocked: no FINAL @claude trigger yet labels Jul 9, 2026

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MervinPraison added pipeline/blocked:conflict Blocked: merge conflict or rebase pending and removed pipeline/blocked:ci Blocked: CI not green on HEAD labels Jul 9, 2026

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Summary

Changes

1. knowledge.py — Check AddResult.success before appending (line ~542)

2. factories.py — Log embedding errors (lines ~148, ~227)

3. retrieval.py — Filter empty IDs (referenced in issue, not in fork)

Impact

Acceptance criteria from issue

Summary by CodeRabbit

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Walkthrough

Changes

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greptile-apps Bot commented Jul 9, 2026

Greptile Summary

Confidence Score: 4/5

Important Files Changed

Sequence Diagram

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Final Architecture Review — PR #2830 ✅ Approved

Phase 1 — Architecture Review (per AGENTS.md)

Phase 2 — Fixes Applied

Phase 3 — Verdict

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muhamedfazalps commented Jul 9, 2026 •

edited by coderabbitai Bot

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1. `knowledge.py` — Check `AddResult.success` before appending (line ~542)

2. `factories.py` — Log embedding errors (lines ~148, ~227)

3. `retrieval.py` — Filter empty IDs (referenced in issue, not in fork)

coderabbitai Bot commented Jul 9, 2026 •

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