Add release post for 2.19.0 (#133)

Signed-off-by: mlflow-automation <[email protected]>
Signed-off-by: Daniel Lok <[email protected]>
Co-authored-by: mlflow-automation <[email protected]>
Co-authored-by: Daniel Lok <[email protected]>

.github/workflows/format-release-note.yml

@@ -53,7 +53,7 @@ jobs:
               repo: repo.repo,
               pull_number: prNumber,
             });
-            const filenames = files.map(file => file.filename);
+            const filenames = files.filter(file => file.status === "added").map(file => file.filename);
 
             const { formatMarkdown } = require(".github/workflows/format-release-note.js");
             formatMarkdown({ filenames })

website/releases/2024-12-11-2.19.0-release.md

@@ -0,0 +1,45 @@
+---
+title: MLflow 2.19.0
+slug: 2.19.0
+authors: [mlflow-maintainers]
+---
+
+## 2.19.0 (2024-12-11)
+
+We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.
+
+### Major New Features
+
+- **ChatModel enhancements** - [ChatModel](https://mlflow.org/docs/latest/llms/chat-model-guide/index.html) now adopts `ChatCompletionRequest` and `ChatCompletionResponse` as its new schema. The `predict_stream` interface uses `ChatCompletionChunk` to deliver true streaming responses. Additionally, the `custom_inputs` and `custom_outputs` fields in ChatModel now utilize `AnyType`, enabling support for a wider variety of data types. **Note:** In a future version of MLflow, `ChatParams` (and by extension, `ChatCompletionRequest`) will have the default values for `n`, `temperature`, and `stream` removed. ([#13782](https://github.com/mlflow/mlflow/pull/13782), [#13857](https://github.com/mlflow/mlflow/pull/13857), [@stevenchen-db](https://github.com/stevenchen-db))
+
+- **Tracing improvements** - [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html) now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. ([#13790](https://github.com/mlflow/mlflow/pull/13790), [#13793](https://github.com/mlflow/mlflow/pull/13793), [#13795](https://github.com/mlflow/mlflow/pull/13795), [#13897](https://github.com/mlflow/mlflow/pull/13897), [@B-Step62](https://github.com/B-Step62))
+
+- **New Tracing Integrations** - [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html) now supports **CrewAI** and **Anthropic**, enabling a one-line, fully automated tracing experience. ([#13903](https://github.com/mlflow/mlflow/pull/13903), [@TomeHirata](https://github.com/TomeHirata), [#13851](https://github.com/mlflow/mlflow/pull/13851), [@gabrielfu](https://github.com/gabrielfu))
+
+- **Any Type in model signature** - MLflow now supports [AnyType](https://mlflow.org/docs/latest/model/signatures.html#supported-data-types) in model signature. It can be used to host any data types that were not supported before. ([#13766](https://github.com/mlflow/mlflow/pull/13766), [@serena-ruan](https://github.com/serena-ruan))
+
+Other Features:
+
+- [Tracking] Add `update_current_trace` API for adding tags to an active trace. ([#13828](https://github.com/mlflow/mlflow/pull/13828), [@B-Step62](https://github.com/B-Step62))
+- [Deployments] Update databricks deployments to support AI gateway & additional update endpoints ([#13513](https://github.com/mlflow/mlflow/pull/13513), [@djliden](https://github.com/djliden))
+- [Models] Support uv in mlflow.models.predict ([#13824](https://github.com/mlflow/mlflow/pull/13824), [@serena-ruan](https://github.com/serena-ruan))
+- [Models] Add type hints support including pydantic models ([#13924](https://github.com/mlflow/mlflow/pull/13924), [@serena-ruan](https://github.com/serena-ruan))
+- [Tracking] Add the `trace.search_spans()` method for searching spans within traces ([#13984](https://github.com/mlflow/mlflow/pull/13984), [@B-Step62](https://github.com/B-Step62))
+
+Bug fixes:
+
+- [Tracking] Allow passing in spark connect dataframes in mlflow evaluate API ([#13889](https://github.com/mlflow/mlflow/pull/13889), [@WeichenXu123](https://github.com/WeichenXu123))
+- [Tracking] Fix `mlflow.end_run` inside a MLflow run context manager ([#13888](https://github.com/mlflow/mlflow/pull/13888), [@WeichenXu123](https://github.com/WeichenXu123))
+- [Scoring] Fix spark_udf conditional check on remote spark-connect client or Databricks Serverless ([#13827](https://github.com/mlflow/mlflow/pull/13827), [@WeichenXu123](https://github.com/WeichenXu123))
+- [Models] Allow changing max_workers for built-in LLM-as-a-Judge metrics ([#13858](https://github.com/mlflow/mlflow/pull/13858), [@B-Step62](https://github.com/B-Step62))
+- [Models] Support saving all langchain runnables using code-based logging ([#13821](https://github.com/mlflow/mlflow/pull/13821), [@serena-ruan](https://github.com/serena-ruan))
+- [Model Registry] return empty array when DatabricksSDKModelsArtifactRepository.list_artifacts is called on a file ([#14027](https://github.com/mlflow/mlflow/pull/14027), [@shichengzhou-db](https://github.com/shichengzhou-db))
+- [Tracking] Stringify param values in client.log_batch() ([#14015](https://github.com/mlflow/mlflow/pull/14015), [@B-Step62](https://github.com/B-Step62))
+- [Tracking] Remove deprecated squared parameter ([#14028](https://github.com/mlflow/mlflow/pull/14028), [@B-Step62](https://github.com/B-Step62))
+- [Tracking] Fix request/response field in the search_traces output ([#13985](https://github.com/mlflow/mlflow/pull/13985), [@B-Step62](https://github.com/B-Step62))
+
+Documentation updates:
+
+- [Docs] Add Ollama and Instructor examples in tracing doc ([#13937](https://github.com/mlflow/mlflow/pull/13937), [@B-Step62](https://github.com/B-Step62))
+
+For a comprehensive list of changes, see the [release change log](https://github.com/mlflow/mlflow/releases/tag/v2.19.0), and check out the latest documentation on [mlflow.org](http://mlflow.org/).

website/src/posts.ts

@@ -350,8 +350,8 @@ export const BLOGS: Blog[] = [
 // Sort by date descending
 export const RELEASES: Release[] = [
   {
-    title: "MLflow 2.19.0rc0",
-    path: "/releases/2.19.0rc0",
+    title: "MLflow 2.19.0",
+    path: "/releases/2.19.0",
     authors: [
       {
         name: "MLflow maintainers",
@@ -360,7 +360,7 @@ export const RELEASES: Release[] = [
         image_url: "https://github.com/mlflow-automation.png",
       },
     ],
-    date: "2024-12-04",
+    date: "2024-12-11",
     version: "2.19.0",
   },
   {