chore(deps): bump github.com/dapr/dapr from 1.15.0-rc.9 to 1.15.0

[dependabot]

Bumps github.com/dapr/dapr from 1.15.0-rc.9 to 1.15.0.

Release notes

Sourced from github.com/dapr/dapr's releases.

Dapr Runtime v1.15.0

Dapr 1.15

We're excited to announce the release of Dapr 1.15!

We would like to thank you all for your patience and also give our thanks to all the new and existing contributors who helped make this release happen.

If you're new to Dapr, visit the getting started page and familiarize yourself with Dapr.

Docs have been updated with all the new features and changes of this release. To get started with new capabilities introduced in this release, go to the Concepts and the Developing applications.

Please read the Breaking Changes carefully. If you're experiencing any issues, please report them on Discord. The following core maintainers are available to help you: @joshvanl, @yaron2, @cassie1coyle.

Note: This release contains a few Breaking Changes.

See this section on upgrading Dapr to version 1.15.

Acknowledgements

Thanks to everyone who made this release possible!

@​adrianhr91, @​alicejgibbons, @​antontroshin, @​aqeelat, @​arslanmusta, @​artur-ciocanu, @​arturotrenard, @​artursouza, @​bhagya05, @​cicoyle, @​daixiang0, @​diegodocs, @​divzi-p, @​Druid-of-Luhn, @​elena-kolevska, @​emsearcy, @​evhen14, @​famarting, @​filintod, @​GowthamHN, @​hhunter-ms, @​humandigital-ruud, @​ItalyPaleAle, @​Jeroen-VdB, @​jev-e, @​JoshVanL, @​jseguillon, @​LeonMatthesKDAB, @​lor1113, @​luigirende, @​m3nax, @​marcduiker, @​mikeee, @​MregXN, @​msfussell, @​olitomlinson, @​passuied, @​paule96, @​paulyuk, @​qustavo, @​RafaelJCamara, @​rochabr, @​salaboy, @​shubham1172, @​Shubhdeep02, @​sicoyle, @​siri-varma, @​SpiffyEight77, @​Taction, @​ThomasVitale, @​tomhreb, @​vil02, @​WhitWaldo, @​yaron2, @​ytimocin, @​znd4

Special thanks go to Rob J - You know who you are!

Highlights

These are the v1.15 release highlights:

Dapr Workflow (stable)

Dapr workflow makes it easy to write long running stateful applications using durable execution. You can try out Dapr workflow with the Quickstart Samples. The ability to author and run workflows is now stable. This includes the Dapr runtime along with the Dapr .NET, Java, Python, Go and Javascript SDKs.

The workflow runtime engine has undergone a major overwrite to achieve substantial performance and scalability improvements, as well as reliability and stability traits that are required to run mission critical apps at massive scale. Workflows now support dynamically scaling your Workflow applications from 0 to many replicas, whilst maintaining durability of your tasks at runtime.

Dapr Actors

The Actor runtime engine has had a rewrite in its implementation. Although no changes have been made to the API surface of Actors, this overhaul significantly improves the reliability of handling Actors at scale and in dynamically scaling environments. This work has also been instrumental in making the, now stable, Workflows engine dynamic and durable.

The Actor runtime implementation is now capable of being extended upon to implement new highly requested Actor APIs, or even targeting new Actor targets beyond your app and Workflows in future.

Scheduler Service (stable)

The Scheduler service is the control plane service used to schedule jobs, running in self-hosted mode or on Kubernetes. It is installed when using the Dapr CLI and is the service responsible for managing scheduled jobs. The Scheduler service is now stable

• Note: Prior to Dapr v1.15, actor reminders were run using the Placement service by default. Now, by default in v1.15, the SchedulerReminders feature flag is set to true, and all new actor reminders you create are run using the Scheduler service. When you deploy Dapr v1.15, any existing actor reminders are migrated from the Placement service to the Scheduler service as a one time operation for each actor type. You can prevent this migration by setting the SchedulerReminders flag to false in the application configuration file for the actor type. See Scheduler Actor Reminders

Conversation API (alpha)

A new Conversation API (alpha) reduces the complexity of interacting with large language models (LLM) at scale, providing a consistent API to talk to LLM providers. With the Conversation API, you can:

• Send prompt and responses LLMs including Anthropic, AWS Bedrock, Hugging Face, Mistral, OpenAI and DeepSeek
• Enable critical performance and security functionality, including prompt caching to reduce the number of calls and PII obfuscation to scrub PII data.

The Go, .NET, and Rust SDKs have the conversation API implemented as part of this release. As with all APIs, Dapr provides observability by issuing metrics for your LLM interactions.

... (truncated)

Commits

• 6e0d7ba Release notes - 1.15 (#8466)
• 12a1a66 new PR (#8536)
• 10f439d update contrib to latest (#8533)
• da43779 second attempt of unmarshalling should be to json (#8527)
• b3f34c2 fix workflows closing broadcaster subscriptions (#8525)
• be16b96 golang.org/x/crypto: update to v0.35.0 (#8528)
• e16c60b Merge pull request #8526 from famarting/fix-workflow-name-empty
• 18a465c fix workflow name empty on first event
• c6860d2 Merge pull request #8513 from lrascao/backport-gh-8307
• 04813ec Merge branch 'release-1.15' into backport-gh-8307
• Additional commits viewable in compare view

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[dependabot]

Superseded by #704.