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50058 commits

Author SHA1 Message Date
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
github-actions[bot]
aad2a774cd chore: sync schema.prisma copies from root 2026-09-13 10:08:49 +00:00
yassin
438d46cb50 feat(proxy): add tpd_limit (tokens per day) for batch submissions
Adds a nullable tpd_limit column and field to keys, teams, budgets and end users. The batch submission limiter swaps the per-minute RPM/TPM descriptor of any scope that has a tpd_limit for a token-only 24h descriptor, so batch traffic is budgeted per day while online traffic keeps the existing per-minute limits. The Admin UI exposes the field on key, team and budget create/edit forms

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-13 10:06:07 +00:00
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
31bd4d34ed fix(rerank): stamp a fresh response id when Voyage, watsonx, or Fireworks omit one
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2026-09-13 01:34:22 -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
4d2352d0b5 fix(cost): bill per-query priced rerank deployments from their router model id 2026-09-13 00:45:33 -07:00
yucheng
a2501d3b59 chore: re-run review bots on the reopened PR tip
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Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-13 07:06:56 +00:00
mateo-berri
af363fc29c Merge remote-tracking branch 'origin/main' into litellm_lit4995_vertex_rerank_search_units 2026-09-13 00:03:04 -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
yucheng
d7623112fa fix(mcp): hand Agent 365 the admin description override and clear the LIT001 and schema gates
get_listed_tool now applies tool_name_to_description so the guardrail evaluates the description clients saw, with a regression test. The listed-tools cache and tool_input_schema fields use Mapping annotations so the change adds no LIT001 findings, and schema.d.ts is regenerated with npm run gen:api

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-13 05:15:33 +00:00
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
e3fe26b43d Merge remote-tracking branch 'origin/main' into litellm_agent365_mcp_guardrail 2026-09-13 04:47:13 +00:00
shivam
d1a4d678dc Merge remote-tracking branch 'origin/litellm_bedrock_sanitize_tool_use_id' into litellm_bedrock_sanitize_tool_use_id
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2026-09-13 04:24:46 +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
yassin
eb48850a1c feat(proxy): bind JWT claims to registered agents via agent_id_jwt_field
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JWT auth validated Entra app tokens but never carried an agent identity
into the authenticated principal, so agent policies (trace id
requirement, per-agent MCP restrictions, agent spend attribution) only
applied to virtual keys bound to an agent. A new litellm_jwtauth field,
agent_id_jwt_field, names the claim (dot notation supported) that is
matched against a registered agent's id, then name; the canonical
agent_id flows through the standard and proxy-admin JWT paths, and a
configured claim naming no registered agent fails closed with 403

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-13 04:24:20 +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
shivam
e08f3cc021 Merge remote-tracking branch 'origin/main' into litellm_bedrock_sanitize_tool_use_id 2026-09-13 04:24:07 +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