Upgrade LiteLLM to 1.84.1#3233
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Co-authored-by: openhands <openhands@all-hands.dev>
Python API breakage checks — ✅ PASSEDResult: ✅ PASSED |
REST API breakage checks (OpenAPI) — ✅ PASSEDResult: ✅ PASSED |
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litellm==1.84.0rc1 was uploaded less than 7 days ago (by ~30 minutes), violating the repo's supply chain guardrail. While this is an intentional override for an incident fix, recommend either (1) waiting ~30 minutes for the 7-day window to pass, or (2) explicit human maintainer approval of the supply chain risk vs incident urgency trade-off.
Revert the requires-python change (not needed for litellm 1.84.0rc1) and re-lock with --upgrade-package litellm so only litellm, openai (==2.33.0), and tokenizers (==0.23.1) change — the latter two are exact pins in litellm's own metadata and cannot be avoided. Co-authored-by: openhands <openhands@all-hands.dev>
…0-rc.1 # Conflicts: # uv.lock
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Resolved the remaining review-thread gate: the prior supply-chain warning was about |
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🟡 Acceptable, but I can’t approve this yet. The dependency freshness concern is now cleared: litellm==1.84.0rc1 was uploaded on 2026-05-05, more than 7 days ago.
[TESTING GAP]
- This updates the core LiteLLM runtime path, so it can plausibly affect agent behavior/evals. I don’t see end-to-end SDK/agent evidence in the PR description beyond
tomllibparsing anduv lock --check, and the human-tested checkbox is still unchecked. Please add concrete end-to-end evidence for a real LiteLLM-backed SDK/agent run, or an eval monitor link with human maintainer confirmation, before approval.
[RISK ASSESSMENT]
- [Overall PR]
⚠️ Risk Assessment: 🟡 MEDIUM. Small diff, but it pins a prerelease core LLM dependency and pulls transitive runtime updates (openai,tokenizers), so runtime/eval validation matters.
VERDICT:
❌ Needs validation before approval: code changes look minimal, but runtime evidence is required.
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🟡 Acceptable, but I’m not approving yet. No new code/lockfile issues found in this re-review, and the dependency upload ages are now outside the 7-day guardrail.
[TESTING GAP]
The previously noted validation gap still applies: this bumps the core LiteLLM runtime path (plus openai/tokenizers), but the PR evidence is still lockfile/TOML checks and CI rather than a concrete end-to-end LiteLLM-backed SDK/agent run or completed eval evidence with human confirmation.
[RISK ASSESSMENT]
- [Overall PR]
⚠️ Risk Assessment: 🟡 MEDIUM. The diff is small, but it pins a prerelease core LLM dependency that can affect runtime agent behavior.
VERDICT:
❌ Needs validation before approval: please add end-to-end/eval evidence or have a human maintainer accept the runtime-validation risk.
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We could probably use 1.84.1 now @neubig |
Co-authored-by: openhands <openhands@all-hands.dev>
Co-authored-by: openhands <openhands@all-hands.dev>
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🟡 Acceptable, but I can’t approve while the target dependency is still inside the 7-day freshness guardrail.
[RISK ASSESSMENT]
- [Overall PR]
⚠️ Risk Assessment: 🟡 MEDIUM — LiteLLM is a core runtime dependency andlitellm==1.84.1was uploaded less than 7 days ago. Human maintainer review is needed if this incident fix must bypass the guardrail.
VERDICT:
❌ Needs human maintainer decision on whether to wait for the package to age past 7 days or intentionally accept the supply-chain freshness risk.
KEY INSIGHT:
The change is mechanically small, but it explicitly bypasses the repository’s dependency freshness guardrail for a new LiteLLM release.
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| # Security: Apply workspace-wide dependency guardrails. | ||
| [tool.uv] | ||
| exclude-newer = "7 days" # Avoid packages uploaded in the last 7 days. | ||
| exclude-newer-package = { litellm = "2026-05-22T00:00:00Z" } |
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🟠 Important: This override allows litellm==1.84.1, whose wheel in uv.lock was uploaded at 2026-05-21T02:07:59.059Z. With the review date at 2026-05-26, that is still under the repo’s 7-day dependency freshness guardrail. Per the active review instruction, I can’t approve a dependency target published less than 7 days ago; please wait until it ages past the guardrail or get explicit human maintainer sign-off for the incident-risk tradeoff.
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Code Review: Upgrade LiteLLM to 1.84.1
This is a well-scoped dependency upgrade with minimal lock file churn (only litellm itself and its required transitive deps: openai and tokenizers). The use of --upgrade-package litellm in lock regeneration is the right approach. Two issues worth addressing before merging:
- Exact pin (
==) in a library — can cause downstream dependency conflicts. exclude-newer-packagedate acts as a future ceiling — will block future litellm upgrades until removed or updated.
This review was generated by an AI agent (OpenHands) on behalf of the user through OpenHands Automation.
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✅ QA Report: PASS
Verified that the PR installs LiteLLM 1.84.1 and that real SDK LLM usage still works through both the low-level LLM.completion() path and the high-level Conversation.run() path.
Does this PR achieve its stated goal?
Yes. The stated goal is to upgrade openhands-sdk to the requested LiteLLM incident-fix release 1.84.1; after make build, the PR environment installed litellm==1.84.1, openai==2.33.0, and tokenizers==0.23.1. I then made real LLM calls via the SDK against the configured LiteLLM proxy and received the expected responses, confirming the upgraded dependency is usable end-to-end in the main SDK execution path.
| Phase | Result |
|---|---|
| Environment Setup | ✅ make build completed and installed the workspace successfully. |
| CI Status | ✅ Completed checks were green; the current qa-changes job was still in progress when checked. |
| Functional Verification | ✅ Real SDK completion and conversation flows succeeded with LiteLLM 1.84.1. |
Functional Verification
Test 1: Baseline main branch uses the old LiteLLM stack but can complete requests
Step 1 — Reproduce / establish baseline without the fix:
Created a detached origin/main worktree, ran uv sync --dev, then ran this real SDK completion command from /tmp/qa-sdk-main:
OPENHANDS_SUPPRESS_BANNER=1 uv run python - <<'PY'
import importlib.metadata as md
import os
from openhands.sdk import LLM, Message
print('installed_versions:', {
'litellm': md.version('litellm'),
'openai': md.version('openai'),
'tokenizers': md.version('tokenizers'),
})
llm = LLM(
model=os.environ['LLM_MODEL'],
base_url=os.environ['LLM_BASE_URL'],
api_key=os.environ['LLM_API_KEY'],
max_output_tokens=80,
temperature=0,
timeout=90,
num_retries=0,
reasoning_effort='none',
)
response = llm.completion([
Message(role='user', content=[{'type': 'text', 'text': 'Reply with exactly: LITELLM_BASELINE_OK'}])
])
print('response_type:', type(response).__name__)
print('assistant_text:', response.message.content[0].text)
print('tokens:', response.metrics.accumulated_token_usage.model_dump(exclude_none=True))
PYObserved output excerpt:
installed_versions: {'litellm': '1.83.14', 'openai': '2.24.0', 'tokenizers': '0.22.2'}
response_type: LLMResponse
assistant_text: LITELLM_BASELINE_OK
tokens: {'model': 'litellm_proxy/openai/gpt-5.5', 'prompt_tokens': 17, 'completion_tokens': 10, ...}
This establishes the before state: main is still on the older LiteLLM/OpenAI/tokenizers stack.
Step 2 — Apply the PR's changes:
Returned to the PR checkout at commit 38f5876b07b3a12661941d446a9bf8f000d24b5e and ran make build, which completed successfully and installed the PR lockfile.
Step 3 — Re-run with the fix in place:
Ran the same real SDK completion flow from the PR checkout:
OPENHANDS_SUPPRESS_BANNER=1 uv run python - <<'PY'
import importlib.metadata as md
import os
from openhands.sdk import LLM, Message
print('installed_versions:', {
'litellm': md.version('litellm'),
'openai': md.version('openai'),
'tokenizers': md.version('tokenizers'),
})
llm = LLM(
model=os.environ['LLM_MODEL'],
base_url=os.environ['LLM_BASE_URL'],
api_key=os.environ['LLM_API_KEY'],
max_output_tokens=80,
temperature=0,
timeout=90,
num_retries=0,
reasoning_effort='none',
)
response = llm.completion([
Message(role='user', content=[{'type': 'text', 'text': 'Reply with exactly: LITELLM_1841_OK'}])
])
print('response_type:', type(response).__name__)
print('assistant_text:', response.message.content[0].text)
print('tokens:', response.metrics.accumulated_token_usage.model_dump(exclude_none=True))
PYObserved output excerpt:
installed_versions: {'litellm': '1.84.1', 'openai': '2.33.0', 'tokenizers': '0.23.1'}
response_type: LLMResponse
assistant_text: LITELLM_1841_OK
tokens: {'model': 'litellm_proxy/openai/gpt-5.5', 'prompt_tokens': 18, 'completion_tokens': 11, ...}
This confirms the PR changes actually install LiteLLM 1.84.1 and the SDK can still make successful LLM calls through that upgraded dependency.
Test 2: High-level SDK conversation still runs with LiteLLM 1.84.1
Step 1 — Baseline:
The PR target is a dependency upgrade rather than a new CLI/API surface, so the relevant user-facing path is a normal SDK conversation that sends a user message through the agent/LLM stack.
Step 2 — Apply the PR's changes:
Used the PR checkout after make build, with litellm==1.84.1 installed.
Step 3 — Exercise the changed behavior:
Ran this high-level SDK flow:
mkdir -p /tmp/qa-sdk-conversation
OPENHANDS_SUPPRESS_BANNER=1 uv run python - <<'PY'
import os
from openhands.sdk import Agent, Conversation, LLM
llm = LLM(
model=os.environ['LLM_MODEL'],
base_url=os.environ['LLM_BASE_URL'],
api_key=os.environ['LLM_API_KEY'],
max_output_tokens=120,
temperature=0,
timeout=90,
num_retries=0,
reasoning_effort='none',
)
agent = Agent(llm=llm, tools=[])
conversation = Conversation(agent=agent, workspace='/tmp/qa-sdk-conversation')
conversation.send_message('Reply exactly: LITELLM_CONVERSATION_OK')
conversation.run()
print('conversation_completed: yes')
print('event_count:', len(conversation.state.events))
PYObserved output excerpt:
Message from Agent
LITELLM_CONVERSATION_OK
conversation_completed: yes
event_count: 3
This shows the upgraded LiteLLM dependency works not only through direct SDK completion, but also through the higher-level user-facing conversation path.
Issues Found
None.
This QA review was created by an AI agent (OpenHands) on behalf of the user.
Co-authored-by: openhands <openhands@all-hands.dev>
5 participants
Why
Upgrade LiteLLM to the requested incident-fix release
1.84.1.Summary
openhands-sdk's LiteLLM dependency to1.84.1.uv.lockfor the workspace using--upgrade-package litellmto minimize churn.openai(2.24.0 → 2.33.0) andtokenizers(0.22.2 → 0.23.1) are also updated because litellm 1.84.1 pins them as exact dependencies. No other packages are changed.Issue Number
N/A
How to Test
pyproject.tomlwith Pythontomllib.uv lock --check --exclude-newer-package litellm=2026-05-06T00:00:00Zfrom the repository root.Video/Screenshots
N/A - dependency upgrade only.
Type
Notes
The package-specific
exclude-neweroverride is needed because this repo has a workspace-wideexclude-newer = "7 days"guardrail, whilelitellm==1.84.1was uploaded on 2026-05-05.This PR was created by an AI agent (OpenHands) on behalf of the user.
Issue
Related to OpenHands/OpenHands#14456
Related issue: #3345
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