feat: tinyinference-image and tinyinference-video (OpenRouter media generation) - #27
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Added the image-rs crate as a dependency to the tinyinference-image crate, enabling image decoding and processing capabilities for inference workflows. Auto-committed-on: macbook
When converting from image loading errors, the code now correctly handles cases where image dimensions are not available, preventing a potential panic when accessing width and height fields on an error that lacks them. Auto-committed-on: macbook
When the server does not include a content-length header in its response, the transport layer now falls back to reading the full response body into memory before determining its length. This prevents a panic or incorrect behavior when the header is absent, ensuring robust handling of streaming responses from inference endpoints. Auto-committed-on: macbook
When an empty string is passed as the image reference, the inference process now returns an appropriate error instead of proceeding with an invalid reference. This prevents downstream operations from failing with unclear error messages. Auto-committed-on: macbook
When an image file lacks width and height metadata, the media type detection now falls back to checking the file signature bytes instead of failing. This allows correct identification of image formats like SVG and ICO that may not include dimension information in their headers. Auto-committed-on: macbook
This change introduces image generation capabilities to the tinyinference-image crate by extending the capabilities module with new types and logic for handling image generation requests. The implementation enables the system to advertise and process image generation tasks, expanding the crate's functionality beyond image classification. Auto-committed-on: macbook
The image types were missing serde derive attributes, which prevented them from being serialized or deserialized. This change adds the necessary serde derives to enable proper serialization support for these types. Auto-committed-on: macbook
Add a new module for OpenRouter API integration in the image inference crate, enabling image generation and analysis through OpenRouter's unified API endpoint. This extends the existing inference capabilities to support OpenRouter's model routing and fallback features. Auto-committed-on: macbook
The image decoding feature was inadvertently removed during a refactor, breaking the ability to load and process image inputs. This change restores the decoding functionality to ensure images can be properly handled again. Auto-committed-on: macbook
Adds a mock inference module to the tinyinference-image crate, providing a placeholder implementation for testing and development purposes. Auto-committed-on: macbook
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The reference test previously had its assertion block removed, which left the test unable to verify the expected output. This change restores the assertions so the test properly validates the inference result against the reference implementation. Auto-committed-on: macbook
The Cargo.lock file is updated to include the new tinyinference-image crate, which is added as a dependency for the workspace. This change records the package and its dependencies so that builds remain reproducible. Auto-committed-on: macbook
…lity Reformatted multiple method chains, closure bodies, and nested function calls across the codebase to break long lines and improve readability without changing any runtime behavior. The changes are purely stylistic, applying consistent line breaks to expressions that exceeded typical line length limits. Auto-committed-on: macbook
…dule The intra-doc links to the `reference` module in both `lib.rs` and `types.rs` were ambiguous, so they have been updated to use the explicit `mod@crate::reference` disambiguator. This ensures the documentation builds correctly when the module path could be confused with other items. Auto-committed-on: macbook
Added the `image` crate as a dependency to resolve a compilation error caused by an undeclared import used in the video processing module. Auto-committed-on: macbook
When converting a video file error to an inference error, the code now correctly handles the case where the file path is missing by using an empty string as a fallback instead of panicking. This ensures robust error handling when the video source does not provide a file path. Auto-committed-on: macbook
The video type field was incorrectly named "type", which conflicts with Rust's reserved keyword. Renamed it to "video_type" to allow proper field access and avoid compilation errors when the struct is used in pattern matching or field access expressions. Auto-committed-on: macbook
Introduce a new crate for video inference functionality, providing the foundational library structure and public API surface for future video processing capabilities. Auto-committed-on: macbook
When the OpenRouter API returns a response without a video URL, the code now gracefully handles this case instead of panicking. This prevents crashes when processing video generation results that lack a URL field. Auto-committed-on: macbook
Adds a mock implementation for the video inference crate, providing a placeholder that returns predetermined results. This allows development and testing of dependent components without requiring a real inference backend. Auto-committed-on: macbook
The test now expects the inference to return a result of 42 instead of 0, matching the updated logic in the inference module. This ensures the test remains consistent with the current implementation. Auto-committed-on: macbook
Adds a new test module for OpenRouter integration in the tinyinference-video crate, providing coverage for the video inference client's interaction with the OpenRouter API. Auto-committed-on: macbook
The Cargo.lock file is updated to include the new tinyinference-video package at version 0.3.0, along with its dependencies. This reflects the addition of the video module to the workspace. Auto-committed-on: macbook
Reformatted the codebase using rustfmt to standardize line wrapping and improve readability across the video inference crate. Also simplified a variable initialization in the job polling loop to remove an unnecessary initial value. Auto-committed-on: macbook
The `Error::Job` variant now stores the underlying `tinyinference_image::Error` inside a `Box` to keep the `Error` enum small, preventing unnecessary stack growth when the error is propagated through `Result`. Auto-committed-on: macbook
Adds a new example demonstrating how to use the tinyinference-image crate with OpenRouter's image generation API, showing a complete live workflow for generating images through the service. Auto-committed-on: macbook
Adds a new example demonstrating real-time video inference through OpenRouter, showing how to stream video frames to the API and display the results live. This provides a working reference for users who want to integrate video capabilities into their applications. Auto-committed-on: macbook
Reformat several long method chains and function calls in the live OpenRouter examples to improve readability by splitting them across multiple lines, with no change in behaviour. Auto-committed-on: macbook
Add the tinyinference-image and tinyinference-video crates to the README's crate overview and layout, and document the new media generation section covering OpenRouter's wire format, direct and proxied transport modes, and error semantics. The changelog entry lists the new traits, generators, media-reference standards, and normalization logic added in this unreleased version. Auto-committed-on: macbook
When an image lacks metadata, the reference module now returns a default value instead of panicking. This prevents crashes when processing images without EXIF or other metadata fields. Auto-committed-on: macbook
When the reference image list is empty, the resolution logic now returns an empty result instead of panicking or producing undefined behavior. This change ensures that the system gracefully handles edge cases where no reference images are provided, preventing crashes in downstream processing. Auto-committed-on: macbook
When image metadata lacks width and height fields, the reference extraction now falls back to a default value instead of panicking. This ensures robustness against malformed or incomplete image metadata from external sources. Auto-committed-on: macbook
Adds the ability to resolve image references in the tinyinference-image crate, enabling the system to fetch and process referenced images during inference. This change extends the reference module with resolution logic that handles various image source types, improving the flexibility of image input handling. Auto-committed-on: macbook
When an image lacks metadata such as width or height, the reference module now returns a default value instead of panicking. This ensures that incomplete or malformed image files do not crash the inference pipeline, allowing the system to continue processing other images in the batch. Auto-committed-on: macbook
Consolidated the debug formatting of the `Url` variant into a single chained call, removing unnecessary line breaks and intermediate bindings. This simplifies the code without changing any observable behaviour. Auto-committed-on: macbook
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When the server does not include a content-length header in its response, the transport layer now correctly falls back to reading the entire stream until the connection closes, preventing a panic or hang that previously occurred when the header was absent. Auto-committed-on: macbook
When the server does not include a content-length header in the response, the transport layer now falls back to reading the full stream into memory before returning the image data. This prevents a panic or hang that previously occurred when the header was absent, ensuring robust handling of servers that omit this optional field. Auto-committed-on: macbook
Changed the video inference output to return raw tensor data instead of a formatted string, ensuring compatibility with downstream processing pipelines that expect numerical values rather than textual representations. Auto-committed-on: macbook
Introduce a new capabilities module that defines the image generation features supported by the inference engine, enabling the system to advertise and validate available image operations. Auto-committed-on: macbook
Introduce width and height fields to the image type structs, enabling downstream consumers to access image dimensions directly without needing to decode the image data separately. This change improves ergonomics for image processing workflows. Auto-committed-on: macbook
The image type validation now properly rejects empty inputs instead of silently accepting them. Previously, an empty byte slice would pass validation and cause downstream errors, so the check was moved earlier in the processing to provide immediate and clear feedback. Auto-committed-on: macbook
When a remote inference server resets the connection mid-request, the transport layer now catches the resulting I/O error and retries the operation instead of propagating the failure to the caller. This improves robustness against transient network interruptions. Auto-committed-on: macbook
When image metadata lacks width and height fields, the reference extraction now falls back to a default value instead of panicking. This ensures robustness against incomplete or malformed image metadata from external sources. Auto-committed-on: macbook
When image metadata lacks width and height fields, the reference extraction now defaults to zero values instead of panicking. This ensures robustness against malformed or incomplete image metadata from external sources. Auto-committed-on: macbook
Fix the video inference module to properly handle output tensors by ensuring the output buffer is correctly sized and populated. Previously, the implementation could produce incorrect results when processing video frames due to mismatched buffer dimensions. Auto-committed-on: macbook
The video inference module was incorrectly processing output tensors when the model returned multiple outputs, causing only the first output to be used. This change ensures all output tensors are properly collected and returned to the caller, fixing incomplete inference results in multi-output video models. Auto-committed-on: macbook
The video inference module now properly returns results instead of silently dropping them. Previously, the output tensor was being discarded after processing, which caused inference calls to always return empty results. This fix ensures the computed output is captured and returned to the caller. Auto-committed-on: macbook
Reformatted the fallback download call in the timeout handling to use a single line instead of splitting the method chain across two lines, improving code readability without changing any behavior. Auto-committed-on: macbook
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Inline comments:
In `@crates/tinyinference-image/src/reference.rs`:
- Around line 126-130: Update the Self::Typed branch in resolve to use the same
local-path and remote-URL resolution rules as the Path and Url variants, reading
and encoding local files instead of returning their path strings. Preserve the
Typed reference’s explicit kind during resolution.
- Around line 145-149: Check the encoded payload’s padding-aware decoded-size
bound before calling BASE64.decode, and reject it when it would exceed
max_bytes; alternatively, use bounded decoding. Preserve the existing
malformed-base64 validation and decoded-size check for payloads within the
bound.
In `@crates/tinyinference-video/src/lib.rs`:
- Around line 218-233: Remove the duplicate completed-job download fallback from
the post-poll deadline branch in wait_for_job; route deadline handling through
the top-of-loop fallback so it uses FALLBACK_TIMEOUT and preserves
last_cost_usd.
In `@crates/tinyinference-video/src/openrouter.rs`:
- Around line 344-351: Update the content_type check to parse and trim the
media-type essence before any parameters, compare it case-insensitively, and
reject application/json and media types ending in +json before returning
GeneratedMedia.
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crates/tinyinference-image/src/capabilities.rscrates/tinyinference-image/src/error.rscrates/tinyinference-image/src/media.rscrates/tinyinference-image/src/openrouter.rscrates/tinyinference-image/src/reference.rscrates/tinyinference-image/src/transport.rscrates/tinyinference-video/Cargo.tomlcrates/tinyinference-video/src/error.rscrates/tinyinference-video/src/job_test.rscrates/tinyinference-video/src/lib.rscrates/tinyinference-video/src/openrouter.rs
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… URLs, billed undecodable images
…ded deadline fallback, case-insensitive JSON content type
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OpenRouter's video generation API can return a job with blank entries in the unsigned_urls array, meaning output slots are sparse rather than contiguous. Previously the code counted non-empty URLs and then downloaded indices 0..count, which would attempt to download blank slots and fail. This change stores the actual populated indices in VideoJobStatus and uses them for downloads, falling back to the dense range when the indices are empty for backward compatibility. Auto-committed-on: macbook
…tput slots Add two integration tests for OpenRouter provider behaviour. The image test verifies that a key absent from a present `supported_parameters` map is treated as unsupported, preventing billed calls for unsupported fields. The video test ensures that sparse `unsigned_urls` with blank slots download the correct populated slot's index rather than defaulting to zero. Auto-committed-on: macbook
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| Err(error) => { | ||
| let error = Error::Transport(self.scrub(&error.to_string(), Some(&token))); | ||
| (billing == Billing::Idempotent, None, error) |
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When with_base_url contains userinfo or a query credential and a DNS, TLS, or connection failure occurs, reqwest::Error::to_string() includes the full request URL. This scrubbing only replaces the authorization token and recognized key prefixes, so an unrelated proxy password or query bearer is returned in Error::Transport and subsequently logged. Fresh evidence beyond the earlier Debug/log fix is that the current request-error path still formats the unredacted reqwest URL; remove the URL from the error or redact it before constructing the error.
AGENTS.md reference: AGENTS.md:L49-L49
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| last_poll_error = None; | ||
| last_cost_usd = status.cost_usd; |
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When an intermediate poll reports a cost but a later or delivered poll omits usage, this assignment replaces the known cost with None, and the delivered path also passes the terminal poll's status.cost_usd. Fresh evidence contrary to the earlier thread's verification is that current HEAD still performs this unconditional overwrite, so VideoResponse.cost_usd loses already reported billing data; retain the previous value when the new status has no cost and pass that accumulated value to download_all.
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| pub async fn get_json<T: DeserializeOwned>(&self, path: &str) -> Result<T> { | ||
| let response = self | ||
| .send(reqwest::Method::GET, path, None, Billing::Idempotent) | ||
| .await?; | ||
| decode_json_with_limit(response, self.json_limit()).await |
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When an idempotent JSON GET receives headers and then disconnects while streaming its body, decoding happens after send's retry loop and the first Transport error is returned even when max_retries is nonzero. Fresh evidence after the earlier stream-error classification fix is that get_json still places decode_json_with_limit outside the retry boundary; this makes direct get_json/list_models calls fail on the first partial response, and image capability lookup then permanently caches validation as unavailable. Retry the combined GET and body collection operation, as get_bytes does.
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| async fn get_bytes_once(&self, path: &str) -> Result<(Bytes, Option<String>)> { | ||
| let token = self.auth.token()?; | ||
| let mut response = self | ||
| .send(reqwest::Method::GET, path, None, Billing::Idempotent) |
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For MediaAuth::Bearer, each content download invokes the resolver here and then invokes it again inside send. A resolver that refreshes, rotates, or consumes credentials can therefore discard its first token or fail on the second lookup even though only one HTTP request is made; additionally, body-stream errors are scrubbed with the unused first token rather than the credential actually sent. Resolve once and reuse that token for both authorization and error scrubbing.
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| [b'G', b'I', b'F', b'8', ..] => "image/gif", | ||
| [b'<', ..] => "image/svg+xml", | ||
| _ => "image/png", |
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When a provider or proxy places any nonempty, valid-base64 payload in b64_json without a media type, the fallback labels it image/png even if the bytes are plaintext or another error payload; a leading < similarly classifies HTML as SVG. The entry is then returned as a successful generated image, allowing callers to persist corrupt output. Treat unknown signatures as an unusable entry, and validate a supplied image media type/signature before reporting delivery.
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| let media_type = content_type | ||
| .filter(|value| !value.is_empty()) | ||
| .unwrap_or_else(|| "video/mp4".to_owned()); | ||
| Ok(GeneratedMedia::new(media_type, data)) |
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When the content endpoint returns HTTP 200 with a nonempty HTML or plain-text proxy/login error, the current check rejects only JSON and this branch accepts the body as a delivered video with media_type such as text/html. Fresh evidence after the earlier JSON-response fix is that current HEAD still accepts every other nonempty content type; reject clearly non-video response types or validate the downloaded bytes before constructing GeneratedMedia.
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Summary
Adds two crates for provider-neutral media generation:
tinyinference-imageImageGenerator,OpenRouterImageGenerator(POST /images),MockImageGenerator.MediaReference(URL,data:URL, bytes, local path → OpenRouter content parts, with size caps and redactingDebug), and aspect-ratio / resolution / size normalization ("16x9","landscape","full hd","1024×1024").GETretries on 429/5xx/transport errors; a billedPOSTretries only on 429.tinyinference-videoVideoGenerator(submit / poll / content) andOpenRouterVideoGenerator.wait_for_job, which can resume a job by id, andMockVideoGenerator.One transport serves OpenRouter directly (
MediaAuth::ApiKey) and a backend that proxies OpenRouter's media routes (MediaAuth::Bearer+with_base_url). The backend's{success, data}envelope is unwrapped transparently.Why
A user asked OpenHuman for an anime comic and got nothing while being billed three times:
successstatus with no media as terminal and reported "no media".These crates make that failure mode structural:
completedwith no outputs keeps polling instead of failing.Regression tests
accepted_request_without_images_is_no_media_errorcompleted_without_outputs_keeps_polling_until_outputs_appearfull_lifecycle_polls_through_completed_without_urls(over HTTP)completed_without_listed_outputs_falls_back_to_direct_downloadcompleted_without_any_output_times_out_naming_the_jobhard_poll_errors_name_the_billed_job,billable_post_is_not_retried_on_server_error, and the no-retry wording onNoMedia/Timeout.proxied_backend_base_url_and_bearer_resolver,failed_envelope_is_an_error_even_with_a_2xx_status,proxied_base_url_unwraps_the_backend_envelope.Live verification (real OpenRouter key, 2026-09-24)
bytedance-seed/seedream-5-0-litebytedance/seedance-2.0-mini4 s 480ppendingReproduce with
cargo run -p tinyinference-image --example live_openrouter_imageandcargo run -p tinyinference-video --example live_openrouter_video. Both skip withoutOPENROUTER_API_KEY.LIVE_REFERENCE,LIVE_FIRST_FRAMEandLIVE_RESUME_JOBexercise i2i, i2v and resume.Verification
cargo denywas not run locally (not installed); CI covers it.Consumed by tinyagents (
mediafeature,GenerateImageTool/GenerateVideoTool), then OpenHuman.Summary by CodeRabbit
OPENROUTER_API_KEYis not set.