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5 commits
| Author | SHA1 | Message | Date | |
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zoveki
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bbc68e21f9
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feat(dashscope): add image edits and text-to-speech (#48998)
* feat(dashscope): add image edits and text-to-speech * fix(dashscope): bill reported speech characters and input images, follow the chat region for edits, keep the call timeout on the audio download * fix(dashscope): bill deployment image prices as main does and route edits to the host speech uses A deployment that sets its own input_cost_per_image, output_cost_per_image or input_cost_per_pixel bills through the default image calculator again, so an override is never read as a per-input-image price and pixel pricing on qwen-image-3.0-pro no longer raises. Edits now resolve the caller's api_base or DASHSCOPE_API_BASE through the same API-root helper speech uses, on any host, with DASHSCOPE_API_BASE_IMAGE still winning. An image response whose usage is null or not an object keeps its images instead of raising. * fix(images): bill a deployment's own prices on image edits through the proxy The proxy builds the logging object before the router picks a deployment, so image_edit never handed the deployment's price fields to its cost calculation and billed the cost-map price instead. Pass the custom pricing params with the pre-call update, as the Responses API does. * fix(images): bill per-pixel image prices at a DashScope W*H size DashScope's mapped size reads 1328*1328, which the cost size reader rejected, so a deployment's input_cost_per_pixel billed every DashScope generation or edit at the 1024x1024 default. * fix(dashscope): bill image prices by their meaning, report the rendered size, prefer the deployment edit base, fetch audio over https * fix(dashscope): read the rendered image size from output_width and output_height * test(images): bill a fal edit at its deployment's own image price * fix(dashscope): keep the qwen-image-3.0 input-image fee out of the shared cost map row Released proxies read the cost map from main and bill input_cost_per_image as the flat price of each DashScope image, so the row's $0.003 input fee billed every qwen-image-3.0 image there at a tenth of its $0.03 price. A deployment can still set input_cost_per_image to bill DashScope's input images --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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Kerry Lu
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e1580b7b83
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refactor(images): remove dall-e-2 and dall-e-3 code paths (#48703)
OpenAI shut down dall-e-2 and dall-e-3 on 2026-05-12. Drop their image generation and edit configs, the Azure dall-e-2 create-and-poll flow, and the silent dall-e-2 fallback when no model is passed. image_generation without a model or provider now fails locally with "model is required". image_edit and image_variation leave model out of the provider request instead of sending dall-e-2, so providers that ignore model (Topaz) keep working and OpenAI returns its own 400. |
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tin-berri
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9b1d69e32c
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fix(images): normalize absent images in async edits (#48872) | ||
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devin-ai-integration[bot]
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1dbde0845e
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test: migrate SDK and proxy-booting legacy CircleCI tests to their tiers (#45758)
* test: move guardrails, image, audio, batches, search legacy tests to unit * test: restore the custom guardrail and remaining chunk 1 unit rows * test: move the ocr matrix to e2e * test: drop comments from moved tests and fix vertex ocr credentials * test: move litellm utils and unified google legacy tests to their tiers * test: move logging callback and pass-through unit legacy tests to their tiers Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: move store_model_in_db legacy tests and start the admin ui migration Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: finish the proxy job rows and drop their CircleCI jobs Moves the remaining multi-instance, openai endpoint, otel, pass-through and top-level proxy tests into tests/integration with scripted upstreams, rewrites the weak replacements to assert the outbound wire and exact responses, and removes the build_and_test job group this PR owns from CircleCI * test: tighten the key generation and error log assertions, rename migrated unit files to their mapped names * test: shard the pagerduty unit tests and record the rust harness file on the coverage allowlist * test: drive the SSO sign-in tests through a scripted IdP and isolate the cost center stand-in * test: type the e2e beta header, prompt cache and secret manager values * test: assert the missing model error message on the OpenAI routes * test: drop the deleted otel base class import and restore mcp redaction and exact langfuse usage checks * test: make the langfuse fixture directory a package for the layout check * test: restore collected no-match cases, real langfuse and gcs payload checks, and gate the aws secret lane * test: keep the ocr e2e pdf fixture next to the test * test: put meta below covers on the streaming tool search e2e * test: run the OCR matrix against a scripted upstream and fix two runner-only e2e failures * test: count only OCR calls in the OCR matrix recorder * test: pin OCR parse bodies and billed cost, group new e2e cases into classes * ci: restore the python image anchor dropped in the main sync --------- Co-authored-by: yuneng <yuneng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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devin-ai-integration[bot]
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0e26edfdb9
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test: move 81 legacy live tests in pass-through, spend, batches, audio, search, guardrails, image and ocr dirs offline (#45288)
* test: make legacy live tests in spend, batches, openai endpoints and audio dirs offline (partial)
* test: migrate wave-1b live tests offline (guardrails, images, ocr, search, openai endpoints)
* test: fix wave-1b review items, add responses/ocr integration tests and firecrawl unit test
* test: anthropic messages router/bedrock/openai-bridge unit tests for wave-1b nodes
* test: anthropic messages logging, prompt-caching and tool-search unit tests; drop migrated base nodes
* test: finish pass_through_unit_tests nodes, logging drain fix and mutations
* test: migrate anthropic passthrough tests to integration wire tests
* test: fix passthrough migration wire spend row lookup and wildcard config
* test: migrate hosted vllm and openai file passthrough tests offline
* test: move assemblyai and vertex passthrough nodes to in-process unit tests
* test: restore unlisted router node and fix logging worker drain in passthrough unit tests
* test: drop spend-row BUG skip and sharpen non-streaming skip reason for anthropic messages
* test: use public presidio alias after merge
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* test: restore the batch and file unit tests the migration rewrote away
* test: restore full legacy intent in anthropic messages router unit tests
Drop the false BUG skip on non-streaming aanthropic_messages logging (success
callbacks do fire; the skipped body filtered on the wrong model), assert the
logged model_group, messages, cost and usage, cover streaming logging for both
Anthropic and Bedrock invoke, assert dict content blocks for Anthropic, Bedrock
invoke and the OpenAI bridge, add the Bedrock invoke leg of the router test,
fall back from a real 401, test system-prompt caching and streaming
message_start cache fields on converse and invoke, send the legacy tool-search
tools and beta header, remove the type: ignore and bare dict helper, and add
in-process native /anthropic passthrough spend logging tests
* test: fix passthrough migration wire tests and drop false native spend BUG skip
The native spend row test read rows by the shared master-key digest, so it
matched other tests' rows; read each row by its own message id instead and
assert tokens, total, spend, tags, provider, api_base and end_user on both the
non-streaming and streaming native routes. Merge the streaming test that never
checked spend, assert exact tags from litellm_metadata, stop rebinding a Final
in a loop, require cost > 0, and add the chat-completions bridge cost case the
legacy test covered
* test: harden the spend, OCR, image, search and guardrail migration replacements
The OCR spend tests now build fresh kwargs per case instead of mutating a
shared fixture, and every payload case asserts the exact logged spend. The
OCR wire test reads its spend row by request id and checks exact page
pricing. Image edit, Nova Canvas, DuckDuckGo, Firecrawl, Bedrock guardrail
and Presidio replacements now fake only the provider HTTP boundary (respx or
an in-process aiohttp server) and assert the outbound request, so the
DuckDuckGo limit, Azure base_model pricing and guardrail masking are proven
rather than assumed
* test: cover Exa and Perplexity search structure and max_results offline and retire the two base search methods
* test: drive batch and file replacements through the provider HTTP boundary and real logging callback
Replace monkeypatched litellm.afile_content and AsyncHTTPHandler doubles with respx routes,
read batch logging metadata from a registered success callback instead of get_logging_payload,
use the real managed-files hook for the GEN-2166 regression, assert outbound request bodies,
pin poller ownership explicitly in the migrated DB-sync tests, and require the scripted
upstream to be hit in the responses error-status wire tests
* test: assert file content download headers pass through the proxy
* test: point spend coverage references at the tests that replaced the retired spend job
* test: assert passthrough identity, spend and route dispatch from the code under test
The AssemblyAI non-admin test asserted metadata it wrote itself and leaked a
background poll to the real AssemblyAI host. It now drives assemblyai_proxy_route
with a real Request and waits for the success callback for its own transcript id.
The Vertex spend test matches its log by call id instead of taking the first event.
The OpenAI files wire test hit the native /{provider}/v1/files route; it now calls
/openai/files so the passthrough is what forwards the upload and delete.
* test: mock only the HTTP boundary in the migrated audio tests
Vertex TTS tests no longer replace _ensure_access_token or AsyncHTTPHandler.post;
the token comes from a mocked Google OAuth endpoint and the synthesize call from
respx. Speech tests assert the outbound body, the transcription cache test polls
for the cache write instead of relying on test ordering, and the model pass-through
test checks the multipart model field per model.
* test: wait on a logger event instead of polling the clock in anthropic messages unit tests
Recorders keep payloads in a rebound tuple and set an asyncio.Event; tests
await it with asyncio.wait_for instead of a sleep-and-deadline poll loop
* test: freeze module-level batch and file response fixtures as Final MappingProxyType
* test: fake the presidio analyzer with an in-memory aiohttp connector
The blocked-entity tests started an aiohttp TestServer, which binds a local
socket. They now hand the guardrail a ClientSession whose connector answers
/analyze and /anonymize in process, so no socket is opened and the outbound
analyze text and entities are still asserted
* test: type anthropic messages router test helpers with LiteLLM's Anthropic TypedDicts
Messages, cached system blocks and tool-search tools now use
AnthropicMessagesUserMessageParam, AnthropicMessagesTextParam,
AnthropicToolSearchToolRegex and AnthropicMessagesTool instead of bare
dict shapes; tools are converted to plain dicts only at the acreate call,
whose tools parameter is list[dict]
* test: type batch limiter helpers with TypedDicts and wait on the logging callback event instead of polling
* test: give the migrated OCR, image and presidio helpers precise types
OCR spend helpers take ReadOnly TypedDicts for kwargs and responses and use
LiteLLM's OCRResponse/OCRUsageInfo instead of local pydantic stand-ins; spend
metadata is validated with a TypeAdapter. The presidio fake uses LiteLLM's
PresidioAnalyzeRequest/ResponseItem types, and the image-edit logger validates
the logged payload instead of storing an untyped dict
* test: signal callback and cache events instead of polling
Recorders keep tuples and set an asyncio.Event, thread-safely, when the payload
for this test's transcript id or upstream URL arrives. The transcription cache
test waits on a Cache subclass that signals after async_add_cache. No clock
polling or sleeps remain in these tests.
* test: assert the batch limiter hook updates the caller's request in place
* test: tolerate model-list probes and read native passthrough rows by owned key
The router's OpenAI-compatible model-info refresh (litellm/router.py:10710)
sends GET /v1/models to configured openai api_bases, so the wire answers it
with an empty list and excludes it from the provider-call assertions. Native
/anthropic spend rows are now read by a per-request virtual key digest and
call_type, then the row's request_id is checked against the message id
* test: expect the OCR alias in the proxy response model
The proxy restamps every OpenAI-compatible response model to the name the
client requested (_override_openai_response_model), so /v1/ocr returns the
scenario alias. The upstream model is now checked on the drained request body
instead of inside the peer, where a failed assert never reached the test
---------
Co-authored-by: yuneng <yuneng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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