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Author SHA1 Message Date
ryan
24a1d772b6 fix(proxy): keep key policy fields and reconcile committed rows in /user/bulk_new 
Rows opting into auto_create_key lost blocked, permissions, aliases, config,
agent_id, budget_fallbacks and budget_limits before reaching the key helper.
When create_many commits but the response is lost, re-read which ids landed
and retry only the rest so committed rows report success and get their teams.
Regenerate schema.d.ts and allowlist the endpoint in the Terraform audit.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-14 01:48:44 +00:00
ryan
ff5b59b173 feat(proxy): add POST /user/bulk_new for batched user and team membership creation 
Creates up to 500 internal users in one request with set-based validation,
a single create_many for user rows, and one locked write per referenced team.
Rows fail independently, keys are opt-in per row via auto_create_key, and
send_invite_email is rejected for the batch.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-14 01:17:19 +00:00
ryan
0201ca60e7 fix(ui): move tags typed into key metadata JSON into the Tags field 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 23:09:27 +00:00
mateo-berri
fff7a2cecf fix(responses): keep context-window events out of mid-stream fallback and fix stale exception assertions 2026-09-13 03:18:59 -07:00
mateo-berri
2923c4ac55 fix(guardrails): read the rewrite from texts when a guardrail echoes every row back unchanged 2026-09-13 03:02:15 -07:00
mateo-berri
7ea19eccc7 fix(responses): keep namespace custom tools through guardrail merges and Mantle params identity 2026-09-13 03:02:03 -07:00
mateo
db79226b6b test(auth): freeze the cache clock in auth prefetch tests 
The org cache entries written by prefetch_auth_objects carry the 5s
DEFAULT_IN_MEMORY_TTL. The first @log_db_metrics getter lazily imports
litellm.proxy.proxy_server, which on a cold CI runner can take longer
than 5s, so the org entry expired before get_org_object read it and the
getter fell through to the MagicMock database. Inject a frozen clock
into InMemoryCache so the test asserts the join, not import latency.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:59:39 +00:00
yassin
e41b3bd13f test(router): annotate return types of team cooldown test helpers 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:50:12 +00:00
yassin
e61b6bfd5f fix(router): classify pass-through cooldown against pass-through deployments only 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:48:35 +00:00
mateo-berri
6264bd84bf chore(ui): regenerate dashboard API types 2026-09-13 02:43:36 -07:00
mateo-berri
dd173a0b1b fix(guardrails): count the PANW latest-user scan over the hoisted system prompt 2026-09-13 02:43:35 -07:00
yassin
9080f0904a fix(router): ignore blocked siblings when checking team model cooldown alternatives 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:35:54 +00:00
mateo-berri
c246372859 fix(responses): import BaseLLMException lazily and collect stream chunks via anext 
Move the BaseLLMException import into _map_error_event_exception so the
module no longer imports it at load time, clearing the module-level cyclic
import CodeQL flagged. The class is used only on the cold error path.

Replace the mutable list-append test collector with aiter/anext so the
regression tests read the stream immutably.
 2026-09-13 02:35:53 -07:00
yassin
10f411e60d fix(router): name the all-deployments-in-cooldown error on 429 responses 
RouterRateLimitError now carries the model group's deployment ids so it
can tell when every deployment is cooled down, and exposes that as
type=all_deployments_in_cooldown with an explicit message. A partial
cooldown keeps type=rate_limit_error. Either way the proxy no longer
reports type=internal_server_error next to code 429

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:34:16 +00:00
mateo-berri
37447c98f7 fix(guardrails): reject per-message texts that cannot land on a string input or a Messages request 2026-09-13 02:28:43 -07:00
yassin
d0a846c8be test(router): cover team_model_has_alternatives directly in the mapped router test 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:27:33 +00:00
mateo-berri
825e4f17e9 fix(sdk): carry body and proxy headers on relayed litellm errors and content policy blocks too 2026-09-13 02:23:34 -07:00
yassin
330ba7cbf9 fix(ui): show the team alias on the model info page and in its raw JSON 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:21:09 +00:00
mateo-berri
f7e9277032 fix(guardrails): validate rewritten tool_use arguments with a typed adapter 2026-09-13 02:13:17 -07:00
mateo-berri
e732a484f6 fix(responses): hoist Codex additional_tools input items into the chat bridge tools 2026-09-13 02:11:59 -07:00
mateo-berri
073d4fe2b0 fix(responses): route mid-stream error events through exception_type so content_policy_fallbacks fire 
Mid-stream error events on the streaming Responses API were all raised as
APIError, so a content_policy_violation event never matched the router's
content-policy fallback dispatch and the client got the raw error instead
of the fallback model's answer. Map each error event's code and status
through the existing exception_type mapping, matching the non-streaming
path, and unwrap the typed ContentPolicyViolationError and
ContextWindowExceededError so the router routes them to the configured
content_policy_fallbacks and context_window_fallbacks.
 2026-09-13 02:11:06 -07:00
yassin
76b26e41ab fix(router): cool down team deployments on 429 when a sibling serves the same public model 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 09:07:53 +00:00
mateo-berri
c0c0c9a9eb fix(sdk): keep body and proxy headers on BadRequestError mapped from a litellm_proxy 400 
The generic 400 branch of the OpenAI exception mapper dropped the wire body and no
branch carried the response headers, so an application calling a LiteLLM proxy through
a litellm_proxy/ model could not tell a guardrail block from any other failure without
walking __cause__. BadRequestError now takes headers, filled for a litellm_proxy
upstream, and the generic branch passes the body. The proxy edge treats the literal
"None" type and param an older proxy sends as absent and stops forwarding an upstream
proxy's date and server headers.
 2026-09-13 02:05:10 -07:00
mateo-berri
6f7882db34 fix(types): import CachedTokensDetails on its own line in openai.py
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CodeQL resolves `from openai import Omit` in litellm/types/llms/openai.py to the
module itself, so every importer of a name whose definition line is in the diff
is reported as an unsafe cyclic import. 76ae35dfcd edited the line that defines
BaseLiteLLMOpenAIResponseObject there and got two alerts at files this PR does
not touch. That line is now byte-identical to main and CachedTokensDetails
arrives through a relative import isort keeps separate.
 2026-09-13 01:54:12 -07:00
joshua-berri
49b2d71057 test(guardrails): type the native lifecycle logging_only test double
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Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 08:47:47 +00:00
mateo-berri
cccff657cf fix(guardrails): scan the Anthropic top-level system prompt and tool_use arguments 2026-09-13 01:35:19 -07:00
mateo-berri
23a98cb851 chore(ui): regenerate schema.d.ts after merging main 2026-09-13 01:22:49 -07:00
mateo-berri
1760fe6284 refactor(guardrails): return a fresh inputs mapping from the Prompt Security modify branch 2026-09-13 01:22:49 -07:00
mateo-berri
93f3911b32 fix(guardrails): drop the types import CodeQL reads as a package cycle 2026-09-13 01:22:49 -07:00
mateo-berri
76ae35dfcd fix(types): break the CachedTokensDetails import cycle 
CodeQL flagged two module-level cyclic imports introduced by defining
CachedTokensDetails in litellm.types.llms.openai and importing it from
litellm.types.utils and litellm.cost_calculator. The class now lives in
litellm.types.llms.base, which imports nothing from litellm, and every
user imports it from there.

Also pins that combining realtime usages where only one response.done
carries cached_tokens_details keeps the earlier modality split in both
orders, and commits the regenerated dashboard API types.
 2026-09-13 01:14:35 -07:00
mateo-berri
d26e007229 Merge remote-tracking branch 'origin/main' into litellm_responses_per_message_guardrail_rewrite 2026-09-13 01:05:36 -07:00
mateo-berri
09314f239c fix(guardrails): hand per-message rewrites back as structured_messages 
A guardrail that rewrites text per chat message now returns the rewritten
rows as structured_messages instead of only texts, so the Responses and
chat handlers write the rewrite back through the structured path. The
generic guardrail API response accepts an optional structured_messages
list, Prompt Security modify builds one from modified_messages, and rows a
server echoes back exactly as shown are restored to the original row
objects because the request model drops undeclared keys. Texts-only
per-message answers keep the named rejection on both endpoints.
 2026-09-13 00:54:29 -07:00
mateo-berri
4c022a3089 feat(pricing): add azure gpt-chat-latest global and data zone rates 2026-09-12 23:34:12 -07:00
yassin
e0cf63c5fa Merge remote-tracking branch 'origin/main' into litellm_per_issuer_virtual_key_claim_field 2026-09-13 05:00:54 +00:00
berriai-litellm-provider-info-sync[bot]
6423acc11a
chore(prices): sync prices for 5 providers: 278 models, 34 new
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fireworks_ai/accounts/fireworks/models/deepseek-v4-flash-0731: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/deepseek-v4-flash-0731: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/deepseek-v4-flash-vision-exp: 
fireworks_ai/deepseek-v4-flash-vision-exp: 
fireworks_ai/accounts/fireworks/models/deepseek-v4-pro: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/deepseek-v4-pro: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/deepseek-v4-pro-0813: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/deepseek-v4p1-flash: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/glm-5p2: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/glm-5p2: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/glm-5p3: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/glm-5p3-flash: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/gpt-oss-120b: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/gpt-oss-120b: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/kimi-k2p6: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/kimi-k2p6: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/kimi-k2p7-code: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/kimi-k2p7-code: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/kimi-k3: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/kimi-k3: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/minimax-m2p7: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/minimax-m2p7: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/minimax-m3: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/minimax-m3: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/models/muse-glimmer-30b: 
fireworks_ai/muse-glimmer-30b: 
fireworks_ai/accounts/fireworks/models/nemotron-3-ultra-nvfp4: 
fireworks_ai/nemotron-3-ultra-nvfp4: 
fireworks_ai/accounts/fireworks/models/qwen3-embedding-8b: 
fireworks_ai/accounts/fireworks/models/qwen3-reranker-8b: input_cost_per_token
fireworks_ai/accounts/fireworks/models/qwen3p7-plus: 
fireworks_ai/qwen3p7-plus: 
fireworks_ai/accounts/fireworks/models/qwen3p8-max: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/qwen3p8-max: input_cost_per_token_priority, output_cost_per_token_priority, cache_read_input_token_cost_priority
fireworks_ai/accounts/fireworks/routers/glm-5p2-fast: 
fireworks_ai/accounts/fireworks/routers/glm-5p3-fast: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost
fireworks_ai/accounts/fireworks/routers/kimi-k3-fast: 
together_ai/arcee-ai/trinity-mini: input_cost_per_token, output_cost_per_token
together_ai/arize-ai/qwen-2-1.5b-instruct: 
babbage-002: input_cost_per_token_batches, output_cost_per_token_batches
chat-latest: 
chatgpt-image-latest: output_cost_per_token, input_cost_per_image_token, output_cost_per_image_token, input_cost_per_token_batches, output_cost_per_token_batches
claude-fable-5: 
claude-fable-5-1: 
claude-haiku-4-5: 
claude-mythos-5: 
claude-mythos-5-1: 
claude-opus-4-5: 
claude-opus-4-6: 
claude-opus-4-7: 
claude-opus-4-8: 
claude-opus-5: 
claude-sonnet-4-5: 
claude-sonnet-4-6: 
claude-sonnet-5: 
davinci-002: input_cost_per_token_batches, output_cost_per_token_batches
deep-research-pro-preview-12-2025: cache_read_input_token_cost
together_ai/deepseek-ai/deepseek-coder-33b-instruct: input_cost_per_token, output_cost_per_token
together_ai/deepseek-ai/DeepSeek-R1-0528:
 2026-09-13 04:55:39 +00:00
joshua-berri
c1d0d29d01 fix(guardrails): import ModelResponse lazily to avoid cyclic import alert 
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-13 04:50:29 +00:00
yucheng
c65ace9164 Merge remote-tracking branch 'origin/main' into litellm_model_armor_logging_only_streaming 2026-09-13 04:24:44 +00:00
shivam
a28e595a9d Merge remote-tracking branch 'origin/main' into litellm_fix_realtime_cached_audio_cost 2026-09-13 04:24:18 +00:00
yassin
5d0a6e3a78 Merge remote-tracking branch 'origin/main' into litellm_flat_retry_records 2026-09-13 04:24:08 +00:00
yassin
268b9b167f Merge remote-tracking branch 'origin/main' into litellm_proxy_error_headers_from_litellm_response_headers 2026-09-13 04:24:01 +00:00
yuneng-jiang
30f33a949b
Merge pull request #40943 from BerriAI/litellm_internal_staging
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chore(ci): remerge internal staging
 2026-09-12 21:19:33 -07:00
Mateo Wang
c2c2a623c0
Merge pull request #39846 from BerriAI/litellm_bedrock_mantle_govcloud_cost_row
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fix(bedrock_mantle): price GovCloud regions from the regional cost row and accept region-prefixed model names
 2026-09-12 21:13:58 -07:00
devin-ai-integration[bot]
62b3a93219
build(deps): bump smol-toml to 1.8.0 to clear GHSA-7w5x-hrqm-74c2 in osv-scan (#40478) 
Co-authored-by: mateo <mateo@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-12 21:13:54 -07:00
Mateo Wang
b1a61f510c
Merge pull request #35918 from Lee-Si-Yoon/feat/friendli-model-metadata-sync 
feat(friendli): auto-sync Friendli model metadata into price registry
 2026-09-12 21:13:52 -07:00
Shivam Rawat
e8d671c94a
Merge pull request #36585 from BerriAI/litellm_remove_user_soft_budget_docstring 
docs(user endpoints): remove unsupported soft_budget param from user docstrings
 2026-09-12 21:13:46 -07:00
devin-ai-integration[bot]
8851148330
fix(router): preserve Azure Entra ID params in reusable credentials (#40889) 
CredentialLiteLLMParams omitted tenant_id, client_id, client_secret,
azure_scope, azure_username and azure_password, so the strict dump used
by credential reuse and Azure client init dropped them and the reused
credential ended with no auth at all

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
 2026-09-12 21:13:45 -07:00
Yassin Kortam
036bfc08fc
docs(e2e): ban unit tests under tests/e2e (#33852) 
The e2e harness exists to prove product features end to end against a live
proxy. The prior Hard Rule carved out an exception for "tests that cover the
harness itself" and pointed at coverage_registry/test_collector.py, which in
practice invited unit tests of harness helpers to be staged alongside e2e
work. That is the wrong tool: harness logic that is worth locking down does
not need a mock-driven unit test living under tests/e2e.

Drop the carve-out. The Hard Rule now reads that no unit tests of any kind
belong under tests/e2e, and the passing mention of unmarked harness coverage
in the transport section is removed so the doc no longer contradicts itself.

coverage_registry/test_collector.py still exists on disk and is left in place
for now; whether to relocate or remove it is a separate decision.
 2026-09-12 21:13:43 -07:00
Mateo Wang
939d320246
Merge pull request #40618 from BerriAI/litellm_pr_template_affected_release 
docs(github): add an Affected release section to the PR template
 2026-09-12 21:13:38 -07:00
devin-ai-integration[bot]
77dc1a6c03
fix(anthropic-adapter): surface mid-stream provider errors as Anthropic error events (#33352) 
* fix(anthropic-adapter): surface mid-stream provider errors as Anthropic error events

Co-Authored-By: Ishaan Jaffer <155045088+ishaan-berri@users.noreply.github.com>

* style(anthropic-adapter): drop added comments per repo convention

Co-Authored-By: Ishaan Jaffer <155045088+ishaan-berri@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Ishaan Jaffer <155045088+ishaan-berri@users.noreply.github.com>
 2026-09-12 21:13:35 -07:00
Mateo Wang
386d29ee67
Merge pull request #38867 from BerriAI/litellm_hide_admin_tabs_view_only 
fix(ui): hide admin write-form tabs on the models page from view-only admins
 2026-09-12 21:13:34 -07:00