Commit graph

481 commits

Author SHA1 Message Date
mateo-berri
53037c34ed fix(exceptions): map upstream status codes for providers with no exception_type branch 2026-08-26 00:47:28 -07:00
Deepanshu Lulla
6684bb343b
perf(streaming): add shared JSONFragmentAccumulator for Vertex and Anthropic (#36610)
* perf(streaming): add shared JSONFragmentAccumulator for Vertex and Anthropic

Vertex's handle_accumulated_json_chunk and Anthropic's
_handle_accumulated_json_chunk each independently accumulated SSE fragments
into a JSON envelope with self.accumulated_json += fragment. Because the
attribute holds a live reference, CPython copies the whole prior buffer on
every fragment, making buffer assembly O(n^2) in total payload size.
Anthropic additionally had no completeness heuristic at all and called
json.loads on the whole buffer after every fragment, and could wedge forever
on two concatenated envelopes.

Add JSONFragmentAccumulator in litellm_core_utils/: fragments append to a
list in O(1), a could_close_json heuristic lets callers skip the join+parse
entirely until a value could plausibly be complete, and pop_next_value peels
one JSON value off the front of the buffer at a time using
json.JSONDecoder().raw_decode, keeping any unconsumed remainder instead of
failing on concatenated values. Migrate both providers onto it; Anthropic's
__next__/__anext__ end-of-stream handlers now delegate to
_handle_accumulated_json_chunk(is_final=True) instead of duplicating the
parse-and-reset logic inline.

Fixes #31861.

* test(streaming): close diff-coverage gaps in JSONFragmentAccumulator migration

Codecov flagged 11 uncovered lines in the migration: the accumulated_json
setter, __next__/__anext__'s end-of-stream drain branches in both providers,
and the pop_next_value "not found" path when a buffer's newest fragment ends
in "}" but is genuinely incomplete (an inner object closed, the outer one
didn't). Add targeted tests for each.

* fix(streaming): make JSONFragmentAccumulator's completeness heuristic O(1)

could_close_json rescanned every preceding blank fragment on each call, so a
hostile upstream that sends malformed JSON (never closing) followed by many
blank keepalive fragments could drive that scan, and the join+parse it
gates, to O(n^2) total. Track the last non-blank fragment's trailing byte
incrementally in append/pop_next_value/set instead of rescanning the buffer.

Reported by automated review on PR #36610.

* fix(streaming): make JSONFragmentAccumulator.pop_next_value O(1) per call

pop_next_value previously rebuilt the full remaining string and sliced a
new remainder on every call, so draining N concatenated JSON values
already sitting in one buffer cost O(n^2) total. Replace the rebuild-and-
slice with a materialize-once cursor: pending fragments are joined into
the buffer only when new ones have arrived since the last pop, and
consumed values are dropped by advancing an offset instead of copying
the remaining string.

* test(streaming): make JSONFragmentAccumulator drain regression test CI-stable

The 80k-value drain test used an absolute ms budget that flaked on a
busier CI runner (233.5ms vs a 150ms budget calibrated on a quiet
machine). Replace it with a doubling-ratio check: draining twice as many
concatenated values should take roughly 2x as long for O(n), not
~4x for O(n^2), and that ratio holds regardless of machine speed.

* test(streaming): suppress TQ002 on the append-laziness spy test

A test-quality gate (TQ002: don't assert only that a mock was called)
landed upstream since this branch's last rebase and now flags
test_append_never_calls_raw_decode. The test verifies append() defers
all decoding to pop_next_value, which has no caller-observable proxy
other than spying on the stdlib call it must avoid making.

* test(vertex): spy on raw_decode instead of json.loads in accumulator regression tests

Post-migration to the shared JSONFragmentAccumulator, Vertex's decode
path goes through json.JSONDecoder.raw_decode, not json.loads. The two
O(n^2)/partial-fragment regression tests still patched json.loads, which
that path never calls, so both passed unconditionally regardless of
whether the underlying implementation regressed. Verified by simulating
an eager-reparse regression: both tests now fail against it and pass
against the correct implementation.

* fix(streaming): widen JSONFragmentAccumulator's whitespace skip to match str.strip()

pop_next_value's whitespace skip only matched json.decoder.WHITESPACE's
ASCII set, narrower than str.strip() (Unicode-aware) which the O(1)-cursor
rewrite replaced. A non-ASCII separator like U+00A0 between two
concatenated JSON values on one SSE line made raw_decode fail on it, and
the buffer never advanced past that byte again, permanently stranding
everything after it for the rest of the stream. Use str.isspace() to
match str.strip()'s tolerance.

---------

Co-authored-by: Deepanshu <deepanshu.lulla@alpha-sense.com>
2026-08-25 16:15:47 -07:00
Mateo Wang
751976db8b
Merge pull request #38229 from BerriAI/litellm_vertex_ai_interactions
feat(vertex_ai): add native Vertex AI Interactions API support
2026-08-25 10:50:02 -07:00
Mateo Wang
9dff9cdd9a
Merge pull request #37979 from BerriAI/litellm_lit5714_adaptive_thinking_display
fix(anthropic/bedrock): request summarized adaptive thinking for reasoning_effort and use provider thinking token counts
2026-08-25 09:58:03 -07:00
mateo-berri
530dab32b9 feat(vertex_ai): add native Vertex AI Interactions API support 2026-08-25 09:55:13 -07:00
mateo-berri
7d0df4a062 fix(videos): forward uploaded source file on /v1/videos/edits to the provider
The video edit endpoint parsed the multipart body but dropped the uploaded
source video, only normalizing it to an id. When a raw file is uploaded it now
flows through videos.main -> the http handler -> the provider transform, which
emits multipart/form-data with the source video as a file part, matching the
official OpenAI SDK's videos.edit wire format. Edit-by-id still egresses JSON.
2026-08-24 15:34:21 -07:00
Devin AI
20e92d1e68 fix(anthropic/bedrock): request summarized adaptive thinking for reasoning_effort and use provider thinking token counts
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-08-22 23:10:42 +00:00
yuneng-jiang
6a0d03914c
test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* test: drop the cwd-relative sys.path.insert calls from the test suite

TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.

Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.

Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.

* test: drop the duplicate imports the sys.path sweep exposed to F811

* test(pre-call-utils): restore the os import the new bedrock tests need
2026-08-22 09:25:58 -07:00
yuneng-jiang
7dff9953cb
test: drop the leftover set_verbose from eleven test files (#37845)
Twenty-three tests across eleven files opened with litellm.set_verbose = True
and never put it back, so the flag stayed on for everything that ran after them
in the same process. None of those files read the output it produces: no
caplog, no capsys, no assertion on a log line, so the flag was left over from
debugging. Deleting it beats restoring it, since restoring keeps the noise.

Ten of the eleven stop leaving the flag on. test_volcengine_embedding.py still
ends with it set, from something it exercises rather than from the test itself,
which is worth its own look.
2026-08-22 08:23:27 -07:00
yuneng-jiang
693797420d
test: unwind environment writes in tests/test_litellm with monkeypatch (#37806)
* test: use monkeypatch.setenv for env writes in tests/test_litellm

`os.environ["X"] = v` inside a test leaks the value into every test that runs
after it in the same worker, so ordering decides the result. 262 of those
writes across 40 files now go through pytest's `monkeypatch` fixture, which
restores the previous value at teardown.

The rewrite skips any test that a mock.patch-family decorator wraps, any test
with defaulted positional parameters, any test whose own name is called
directly elsewhere, and rebinds nothing inside nested defs, because in each of
those cases appending a fixture parameter changes what pytest or mock binds.

Ratchets the TQ004 ceiling from 768 to 506.

* fix(test): delete the key through monkeypatch instead of popping it first

Five tests popped a key straight out of `os.environ`, ran, then restored it with
`monkeypatch.setenv`. By the time monkeypatch saw the name it was already gone,
so it recorded "absent" as the value to go back to and deleted the key at
teardown. On a worker that inherited a real `RESEND_API_KEY`, `SENDGRID_API_KEY`,
`UI_PASSWORD`, `LITELLM_SALT_KEY` or `OPENAI_API_KEY`, every test after the first
one ran without it.

`monkeypatch.delenv(..., raising=False)` removes the key and restores whatever
was there, so the try/finally the manual restore needed goes with it.

* chore(test): leave the two cost-calc files to the PR that rewrites them fully

Both files are also in #37815, which converts the module-global writes as well
as the env writes and folds them into one fixture. Two PRs rewriting the same
lines differently is a conflict nobody benefits from resolving, so this one
drops back to staging on those two and keeps the other 39.

TQ004 clears 200 here instead of 275; the rest moves with #37815.
2026-08-21 20:28:37 -07:00
ryan-crabbe-berri
6b088f4bb1 style: wrap the escaped messages under 120 columns 2026-08-21 17:48:57 -07:00
ryan-crabbe-berri
91599aef69 test: say whether a match= pattern is a regex or a literal (ruff RUF043) 2026-08-21 16:25:33 -07:00
ryan-crabbe-berri
243ed4393d test: reject assertions on a caught error inside except (ruff PT017)
A test that asserts on the error inside its own except block passes when the
call stops raising, because nothing runs the handler. That is the exact case
the test exists to catch, so the regression lands green.

Rewrites all 111 such blocks into pytest.raises, which fails when the call
succeeds, and selects PT017 in ruff-tests.toml so no new one lands.
2026-08-21 13:35:08 -07:00
Sai Likhith Kanuparthi
52e181d12d
fix(vertex_ai): convert messages to contents in gemini count_tokens (#36981)
* fix(vertex_ai): convert messages to contents in gemini count_tokens

acount_tokens passed contents=None to the Vertex Gemini countTokens
endpoint when called with messages=, causing a silent zero token count.
The Gemini branch of VertexAITokenCounter.count_tokens never read the
messages parameter, so the request body was {"contents": null}, which
Vertex accepts with HTTP 200 and no totalTokens field.

Convert messages to Gemini contents format using the existing
_gemini_convert_messages_with_history helper when contents is None.
Treat a response without totalTokens as a failure so the caller falls
back to local token counting instead of returning a silent zero.

Fixes #36921

* style: apply ruff format to common_utils.py

Resolves lint CI failure on PR #36981.

Generated with [Devin](https://devin.ai)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* chore: suppress LIT002 on messages fallback for Gemini token counter

Adds `# mutable-ok:` suppression on the `messages or []` fallback passed
to `_gemini_convert_messages_with_history`. The [] is a None-fallback;
the helper signature requires list[AllMessageValues], so a tuple would
violate the type contract. Resolves type-discipline-budget CI failure
on PR #36981.

Generated with [Devin](https://devin.ai)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* chore: suppress reportPrivateUsage on _gemini_convert_messages_with_history import

Adds `# pyright: ignore[reportPrivateUsage]` on the import of the
shared `_gemini_convert_messages_with_history` helper. The function is
already used by gemini/chat, context_caching, and
vertex_and_google_ai_studio_gemini; reusing it here avoids duplicating
the OpenAI-to-Gemini message conversion. Resolves basedpyright budget
CI failure on PR #36981.

Generated with [Devin](https://devin.ai)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-08-21 16:33:55 -04:00
ryan-crabbe-berri
ed02a121dd
Merge pull request #37878 from BerriAI/litellm_ruff_no_duplicate_definitions
test: enforce F811 so a duplicate definition cannot silently replace the first
2026-08-21 12:49:43 -07:00
ryan-crabbe-berri
e9d40a8f73 test: enforce F811 so a duplicate definition cannot silently replace the first
A name bound twice keeps only the second binding. In `tests/` that is nearly
always a repeated import, harmless but misleading, and the same rule is what
catches the cases that are not harmless: a local that shadows an import the
module still calls, and a second `def test_x` that quietly replaces the first.

311 of the 344 sites were repeated imports and came out with ruff's own fix.
The remaining 33 needed a decision. Four modules imported a name they never
used because a local definition below already shadowed it. Two comprehensions
bound `call` over `unittest.mock.call`, which those modules import and use.
One test rebound the two module handles its nested reload closure had captured.
One class attribute shadowed an unused `status` import.

The load-test fixtures move to a conftest, which is how pytest is meant to share
them, so the test module no longer imports three fixture names it never calls.
The nine `prisma_client` parameters keep a narrow `noqa`: pytest resolves that
fixture by name before the body runs, so the parameter never shadows anything.
2026-08-21 12:06:19 -07:00
tin-berri
4307b34aca
fix: omit thinking.type=disabled for always-on thinking Claude models (#37510) 2026-08-21 10:27:26 -07:00
ryan-crabbe-berri
b76def0e5d
test: require a match= on broad pytest.raises, and drop duplicate parametrize cases (#37769)
`pytest.raises(Exception)` with no `match=` passes on any error that broad. A
TypeError from a refactor, a botched fixture, an import that moved: all of them
read as the rejection the test claims to police, so the test goes green for the
wrong reason and stays green after the behaviour it guards is gone.

PT011 closes that gap for the 317 sites B017 could not reach, because B017 only
fires on a single-statement body with no `as e` binding. Each pattern here is the
message the code actually raised, recorded by running the sites under a plugin
that logged the concrete type and text per call site, so the assertions describe
observed behaviour rather than a guess. Where a site raises more than one message
across its parametrize cases, the pattern is an alternation of what was seen;
where the exception carries an empty `str()` and puts the text on `.message`, the
site keeps a narrow `noqa` with the reason.

PT014 removes four parametrize cases that were listed twice. The duplicate re-runs
an assertion that already passed, and it usually marks a case someone meant to
vary and forgot to edit.
2026-08-20 20:24:49 -07:00
ryan-crabbe-berri
a112ba5f63
test: enforce PT012 so a pytest.raises block cannot hide dead assertions (#37748)
* test: enforce PT012 so a pytest.raises block cannot hide dead assertions

`with pytest.raises(...)` stops at the first statement that raises. Anything
sequenced after it inside the block never runs, so an assertion written there is
never checked and the test still reports green.

Two sites were doing exactly that, and both assertions turned out to be wrong
once they started running. tests/llm_translation/test_prompt_factory.py asserted
the bedrock rejection names "requires at least one non-system message", which
holds. tests/proxy_unit_tests/test_proxy_server.py asserted the prisma startup
failure mentions "httpx.ConnectError", which never appears: the failure is an
httpx.ConnectError whose message is "All connection attempts failed", so that
test now asserts the type. Its DATABASE_URL override moves to monkeypatch, since
the old restore sat below the assertion and leaked the invalid URL into every
later DB test the moment the assertion started being able to fail.

The remaining 72 sites are rewritten without changing what they exercise: setup
that cannot raise moves above the block, a nested `patch` moves outside it, and
bodies with real control flow (a stream drain, an if/else on sync_mode, a
retry loop) move into a local closure the block calls.

Fixing PT012 unmasked two B017s, since ruff only reports a blind
pytest.raises(Exception) once the block holds a single statement.
tests/proxy_unit_tests/test_auth_checks.py narrows to the ProxyException
can_key_call_model actually raises. tests/local_testing/test_completion_cost.py
was asserting vertex_ai/medlm-medium has no cost entry, which stopped being true
at some point; that dead first half is gone and the rest of the test, which
checks medlm pricing resolves above zero, now runs instead of being skipped.

* chore(ci): ratchet TQ004 to 768 after the prisma test moved to monkeypatch
2026-08-20 19:36:26 -07:00
ryan-crabbe-berri
680bcfd8aa
test(lint): ban blind pytest.raises(Exception) with ruff B017 (#37731)
* test(lint): ban blind pytest.raises(Exception) with ruff B017

A bare pytest.raises(Exception) accepts whatever the body throws. The TypeError
a refactor introduces satisfies it exactly as well as the rejection the test was
written for, so the crash reads as a pass and the test never goes red.

All 111 existing sites are narrowed here. A runtime probe recorded the concrete
exception each one actually catches, and each site now names that type. Where
the code under test genuinely raises a bare Exception, the site pins a stable
slice of the message with match= instead.

Two sites tell on themselves. The shared responses-API cancel test raises
"custom_llm_provider is required but passed as None" rather than talking to a
provider at all, because cancel_responses takes a provider, not a model. And
test_bedrock_guardrails_with_streaming was the only test in its file still
passing without AWS credentials, because the NoCredentialsError boto3 raised
long before the guardrail ran satisfied the blind raises.

* fix(test): widen the openai batch-dispatch assertion to OpenAIError

The narrowed NotFoundError only holds where OPENAI_API_KEY is set. Without one
the SDK raises OpenAIError while building the client, long before any 404, so CI
went red. OpenAIError covers both and still rejects a TypeError from a refactor.
2026-08-20 18:09:42 -07:00
Mateo Wang
6eacdbfbf0
Merge pull request #37541 from ljogeiger/litellm_vertex_parallel_fc_thought_signatures
fix(vertex_ai): only fall back to a placeholder thought signature on the first parallel function call
2026-08-20 17:53:05 -07:00
yuneng-jiang
3357ec8d34
test: run the 30 test files stranded in the second mirror (#37595)
* test: run the 30 test files stranded in the second mirror

tests/litellm sat beside tests/test_litellm, which is the mirror the repo
convention names, and no job collected it. The allowlist called the directory
unresolved and assumed it was a duplicate. It is not: 30 of its 34 files have no
counterpart in the real mirror, so they are tests nobody has run since they were
written, not copies of tests that run elsewhere.

Moving them in is byte-identical, and it is what makes them run. Every one is
now claimed by a shard's test-path rather than by an allowlist entry, and the
216 tests they hold pass. Directories that needed to become packages did, since
several files are named test_transformation.py and pytest cannot import two of
those from non-package directories in one session.

Never running is why three assertions had drifted away from the code:

  * nvidia.nemotron-super-3-120b max_output_tokens, 32000 -> 32768
  * sambanova/MiniMax-M2.7 max_input_tokens, 204800 -> 196608
  * the Vertex text-to-speech handler moved from data= to json=, so the test
    reads the decoded body off the json kwarg instead of parsing the data one

The first two follow model_prices_and_context_window.json, which the catalog
sync keeps current; the third follows the handler. In all three the test was the
stale side.

The lint workflow ran test_no_hardcoded_secrets.py by path and now points at the
new one.

Four files stay behind. Each shares a filename with a live test whose contents
are disjoint from it, so landing those means merging test bodies, which is a
content review rather than a move. The allowlist entry now names those four and
records how many tests each would bring, in place of calling the whole
directory unresolved.

* fix(ci): keep the secret scan out of the mirror's conftest

The secret-scan job runs pytest under uv run --no-project, so its environment
holds pytest and nothing else. That worked while the file sat in tests/litellm,
which has no conftest, and broke the moment it moved into tests/test_litellm,
whose conftest imports litellm on collection: ModuleNotFoundError: No module
named 'dotenv', before a single test ran.

The file is a repo-wide static scan that imports only base64, os, re and pytest,
so it belongs with the other repo-wide checks in tests/code_coverage_tests,
which has no conftest, rather than in the package mirror. Installing the full
dependency set into a 15-second job to satisfy a conftest it does not use would
be the wrong trade.

Verified with the job's exact command:
  uv run --no-project --with 'pytest==9.0.2' pytest \
    tests/code_coverage_tests/test_no_hardcoded_secrets.py -q
  1 passed in 0.47s
2026-08-20 10:59:43 -07:00
mateo-berri
fc98bab180 Merge branch 'litellm_internal_staging' of https://github.com/BerriAI/litellm into fix-anthropic-mid-conversation-system-cache 2026-08-20 02:55:51 -07:00
ljogeiger
a5ad22b8a3 test(vertex_ai): cover gemini-3.5-flash and drop assertion-echoing docstrings
Add gemini-3.5-flash to the placeholder-scoping matrix and a regression test
that a natively signed parallel turn replays with no
skip_thought_signature_validator anywhere in the payload, the shape that was
producing empty text responses on 3.5.

Hoist the repeated placeholder expression into one constant and rewrite the
docstrings that restated their own assertions to say why the case matters
instead.
2026-08-20 00:16:36 +00:00
ljogeiger
db50e123d5 test(vertex_ai): parametrize placeholder scoping across gemini-3 model variants 2026-08-19 22:42:24 +00:00
ljogeiger
d5af42717e test(vertex_ai): cover id-embedded, tool-level, and end-to-end parallel signature replay 2026-08-19 22:32:24 +00:00
ljogeiger
aa832d81e9 fix(vertex_ai): only fall back to a placeholder thought signature on the first parallel function call
Gemini returns a thoughtSignature on the first function call of a parallel
batch and leaves the siblings bare. When replaying that assistant turn,
litellm gave every unsigned call the skip_thought_signature_validator
placeholder, so a three-call turn went back with three signatures where
Gemini had produced one. Keep the placeholder for the first call only and
forward the siblings with whatever signature they actually carry, which is
usually none.
2026-08-19 22:08:42 +00:00
mateo-berri
de77711cf9 test(vertex_ai): cover duplicated fan-out rows in embeddings batch reassembly
Some checks failed
Terraform Modules / fmt, validate, test (aws) (push) Has been cancelled
Terraform Provider / gofmt, vet, build, test (push) Has been cancelled
Terraform Provider / Provider endpoints vs proxy OpenAPI schema (push) Has been cancelled
Also ruff-formats the batch transformation test file, which the formatter
gate flags once the file is touched.
2026-08-14 17:37:07 -07:00
milan
0d0c712df7 fix(vertex_ai): fail an embeddings batch entry whose fan-out came back incomplete
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-08-15 00:29:35 +00:00
mateo-berri
f2a10f6331 merge: litellm_internal_staging into litellm_vertex_batch_embeddings_translation 2026-08-14 17:17:16 -07:00
Shifat Islam Santo
658c67c152 fix: preserve prompt cache for mid-conversation system on unflagged Claude models 2026-08-14 14:19:48 -05:00
Praveen11558
0ca0fa22b8
fix: refactor HTTP handler initialization with client support (#30952)
* bug: Refactor HTTP handler initialization with client support

* Update transformation.py

* bug: fixing the passing of clientID for the psc calls

* Update llm_http_handler.py

* Update llm_http_handler.py

* Update transformation.py

* Remove duplicate 'plugins' field definition

Removed duplicate definition of 'plugins' field.

* Update proxy_server.py

* Update transformation.py

* Update transformation.py

* Update test_vertex_gemma_transformation.py

* Refactor HTTP client handling for Vertex Gemma

* Refactor tests to use mock_get_client for HTTP calls

* Update transformation.py

* Update transformation.py

* Refactor patches for async HTTP client in tests

* fix: refactor HTTP handler initialization with client support

---------

Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
2026-08-12 15:17:51 +02:00
mateo-berri
7bffbbd1f2 refactor(vertex_ai): drop unreachable post-path status checks in batches handler
HTTPHandler.post and AsyncHTTPHandler.post call raise_for_status before returning, so the status_code != 200 branches after the create and cancel POSTs could never run. Non-2xx already surfaces as httpx.HTTPStatusError from inside the client. The checks after GETs stay: the get helpers return without raising. Tests that faked a non-raising POST response are replaced by HTTPStatusError propagation coverage.
2026-08-07 23:00:50 -07:00
mateo-berri
2b58053561 Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_vertex_batch_create_error_propagation
Some checks failed
Terraform Provider / gofmt, vet, build, test (push) Has been cancelled
Terraform Provider / Provider endpoints vs proxy OpenAPI schema (push) Has been cancelled
2026-08-06 00:04:30 -07:00
milan
5b763d6b00 merge: litellm_internal_staging into litellm_vertex_batch_embeddings_translation
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-08-03 14:26:12 +00:00
Mateo Wang
2ef84db550
Merge pull request #35004 from mgeorgaklis/fix/gemini-thought-signature-duplication
fix(gemini): do not send duplicate thoughtSignature copies to Gemini
2026-07-31 11:51:18 -07:00
Mateo Wang
47f1fb394e
Merge pull request #35172 from BerriAI/litellm_vertex_cache_skip_tool_final
fix(vertex_ai): skip context caching when the cached block ends on a model turn
2026-07-29 20:24:42 -07:00
mateo-berri
819dc7812a fix(vertex_ai): evaluate cached-block terminal turn after system extraction 2026-07-29 19:47:26 -07:00
Mateo Wang
9f9d72b50f
Merge pull request #34603 from ljogeiger/litellm_vertex_function_call_id
fix(vertex_ai): forward function_call id on Vertex Gemini 3+ tool turns
2026-07-29 18:51:54 -07:00
mateo-berri
dbc0d23c1e fix(vertex_ai): skip context caching when the cached block ends on a model turn 2026-07-29 18:38:29 -07:00
Devin AI
b93030f84e fix(vertex_ai): surface real error/status on vertex batch create instead of IndexError 500 2026-07-29 21:20:25 +00:00
milan
bf723fa9c1 fix(vertex_ai): percent-encode the custom_id in fanned-out vertex batch keys
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-29 20:50:27 +00:00
milan
3c979f0b47 test(vertex_ai): cover batch lines without a url staying on the chat path
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-29 15:23:14 +00:00
milan
627d2755da fix(vertex_ai): fan array embeddings input out into one vertex row per element
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-29 15:06:58 +00:00
milan
e96614a39f fix(vertex_ai): put embed config inside the request and read live usage
A live Vertex batch run showed the documented "embed_content_config" sibling of "request" is rejected by the API ("unsupported type"), failing the whole job rather than the row; the same fields inside the EmbedContentRequest succeed and honor output_dimensionality. Real output rows also report usage under response.usageMetadata.promptTokenCount, not the documented response.tokenCount, so every row came back with zero tokens.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-29 14:44:25 +00:00
milan
6cfcb6cd83 fix(vertex_ai): translate /v1/embeddings batch rows to Gemini embedding shape
Vertex batch files sent every jsonl line through the generateContent transform, so embeddings rows went out as {"request": {"contents": [...]}} and Vertex rejected each one with "no such field: 'contents'"; the OpenAI "input" was dropped along the way too. Route lines by their own url: embeddings lines now emit the EmbedContentRequest shape (singular content, embed_content_config sibling, custom_id round-tripping through the top-level key), and matching output rows come back as OpenAI embeddings responses.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-29 14:08:18 +00:00
mgeorgaklis
987a8fcf48 fix(gemini): do not send duplicate thoughtSignature copies to Gemini
Gemini returns each thoughtSignature on exactly one part. LiteLLM
stores a function-call signature both message-level (thought_signatures)
and on the tool call itself, then re-attached it to BOTH the text part
and the function-call part when serializing history. gemini-3 and newer
models bill every replayed copy as the previous turn's full reasoning
token count, so long agentic sessions doubled their context growth and
hit the 1,048,576-token limit

Only attach a message-level signature to the text part when the same
signature is not already carried by a tool-call part:

- compare signature values instead of boolean presence so a distinct
  text-part signature is never dropped
- ignore the gemini-3 dummy-signature fallback during detection so
  replaying gemini-2.5 history to a newer model keeps the real text
  signature
- count signatures carried by server-side tool invocations so they are
  not re-attached to the text part

gemini-2.5 responses (signature on the text part, function call
unsigned) are unaffected: the text signature is preserved as before
2026-07-29 04:08:19 +00:00
shivam
5f50791e99 fix(vertex_ai): source managed-file read bucket + credentials from per-model litellm_params
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-07-27 23:33:01 +00:00
Lukas Geiger
acd414f186 fix(vertex_ai): forward function_call id on Vertex Gemini 3+ tool turns
Vertex AI now accepts and returns `id` on functionCall and functionResponse parts for Gemini 3+ on the v1 endpoint, so the provider check added in #28324 is stale. It silently drops the id for every Vertex caller, which breaks strict tool-call matching

Gate the id on model version alone, which is what the code did before #28324 and what Google AI Studio already does. `_forward_gemini_function_call_id` no longer takes `custom_llm_provider`, and the decision is resolved once in `_gemini_convert_messages_with_history` and passed to both converters as a bool rather than re-derived independently in each. The context caching path is covered by the same change, since it already passes `model` and the gate needs nothing else

The `id` comments on `FunctionCall`, `FunctionResponse` and `HttpxFunctionCall` were also written by #28324 and asserted the opposite of current behaviour, so they are corrected here
2026-07-25 05:39:23 +00:00
yucheng-berri
61d32c9aac
fix: handle explicit outputInfo: null in Vertex AI batch response (#34473)
* fix: handle explicit outputInfo: null in Vertex AI batch response

Vertex AI can return HTTP 200 for a create_batch/get_batch call with an
explicit "outputInfo": null body (the output directory is assigned
asynchronously and may not be populated yet at response time).

_get_output_file_id_from_vertex_ai_batch_response did:

    response.get("outputInfo", OutputInfo()).get("gcsOutputDirectory", "")

dict.get(key, default) only substitutes default when the key is absent,
not when it is present but explicitly None, so this crashed with:

    AttributeError: 'NoneType' object has no attribute 'get'

surfaced to callers as an opaque openai.InternalServerError 500 from
litellm.create_batch()/retrieve_batch() for any Vertex AI batch job,
regardless of whether the job ultimately succeeds.

Fixed by guarding with `response.get("outputInfo") or OutputInfo()`,
matching the existing null-safe pattern already used by the sibling
_get_input_file_id_from_vertex_ai_batch_response for inputConfig. The
existing outputConfig fallback branch (a few lines below) already
handles this case correctly once it's reachable - it just never was.

Added 2 regression tests covering outputInfo: null with and without an
outputConfig fallback available.

* test: drop explanatory comment from regression test

---------

Co-authored-by: htourinho-clgx <htourinho@cotality.com>
2026-07-24 15:10:16 -07:00