resourceKeyUpdate now calls d.Partial(true) on a failed /key/update so the SDK does not persist the rejected planned values into state, which made the next plan report no changes and silently dropped the update.
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(terraform): send litellm_key model_max_budget as per-model BudgetConfig objects
The key resource typed model_max_budget as map(number) and forwarded the
bare numbers to /key/generate, which the proxy rejects with a 500
('int' object is not iterable) because each model entry must be a
BudgetConfig object. The attribute is now a JSON string of per-model
budget objects, matching litellm_user, litellm_budget and litellm_tag,
with a schema version 1 state upgrader that drops the old map value so
existing state keeps loading
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(terraform): reject litellm_key model_max_budget JSON that is not per-model budget objects
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(terraform): reject unknown or empty per-model budget fields in litellm_key model_max_budget
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Add an optional, computed, force-new team_id argument to the
litellm_team resource. When set, it is sent to /team/new as the
team_id; when omitted the provider keeps generating a UUID. Read
mirrors the resource id into state so import and plan stay clean.
Resolves LIT-6399
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(terraform): read team per-model rpm/tpm limits from metadata and clear them on removal
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* chore(terraform): drop explanatory comments from team per-model limit helper and tests
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---------
Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
The cross-group branch of EncryptedContentAffinityCheck removed only the signature from
Anthropic-shaped thinking blocks, which left unsigned thinking blocks that Anthropic and
Bedrock reject (thinking.signature: Field required). Drop the whole block, the way #40280
drops undecryptable Responses input items, so the routed request carries the conversation
text with no reasoning item for those turns
The async-transform path in the shared handler sent every provider's sign_and_log to the AWS pool, so Ollama, Snowflake, and watsonx queued behind Bedrock refreshes there. Only SignsRequestsWithAWS configs take run_aws_signing now, the rest keep the default-executor hop they had. The executor isolation test also runs on its own loop instead of pinning a one-thread default executor on the session-scoped pytest loop
Resolves the conflicts with the lite configure claude work from #40319: every persistent
writer and reader of Claude Code's settings file now resolves it through CLAUDE_CONFIG_DIR,
the lite up backup check only guards the default file, and each settings file keeps its own
undo receipt (the default file keeps ~/.litellm/claude_configure_state.json, any other file
gets ~/.litellm/claude_configure_state/<sha256 of its resolved path>.json).
asyncio.to_thread puts every Bedrock signing on the loop's default executor, the same pool every provider's async entry point hops through, so signings parked on botocore's refresh lock queued unrelated providers behind Bedrock. run_aws_signing runs them on a 16-thread pool only AWS signing uses
The failed-batch redesign left list_batches, BatchList, BatchListQuery and
the batch object's metadata and created_at fields with no caller, and they
duplicated the batches suite's own client. delete_user discarded its result,
so a user that outlived the class fixture went unnoticed; unwrap turns that
into a teardown error like delete_key already does.
The encrypted_content_affinity check only read the Anthropic history from request_kwargs["messages"], so a caller that passes it through the callback's messages argument alone skipped the pin. Read the argument first and fall back to the kwargs.
When the minting deployment is not a candidate of the routed group, the base already strips the Responses input's encrypted reasoning; do the same for the bridge-tagged thinking blocks in Anthropic messages so the routed deployment gets the readable thinking text instead of ciphertext it cannot decrypt.
Number("") and Number(" ") both return 0, which passed the finite check, so a
provider reporting an empty cost got a fabricated $0.000000 metric instead of
having the unusable value omitted.
Both ingestion sites carried the same inline parsing, so this pulls it into one
parseUsageCost helper that keeps finite numbers and non-blank numeric strings and
drops everything else, including booleans, arrays and breakdown objects.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YNw8WvkvCSeTcE5qvergu3
A single process-wide anyio.CapacityLimiter wakes waiters with the
asyncio.Event of whichever loop created it, so a fifth loop in another
thread (asyncio.run per request under Celery, gunicorn sync workers, or
run_async_function from function_with_fallbacks) waited forever once four
counts were in flight, and building it at import time raised
AsyncLibraryNotFoundError on anyio below 4.2. The limiter now lives in a
RunVar and is created on first use inside the running loop.
TOKEN_COUNTER_MAX_CONCURRENT_COUNTS reads from the environment like
TOKEN_COUNTER_MAX_EXACT_CHARS, and the proxy's tokenizer lookup runs on the
shared thread pool so a Hub download no longer holds a count slot.
