Hotfix/default model

.scripts/changelog/generate.py

@@ -32,7 +32,8 @@
 OWNER = "confident-ai"
 REPO = "deepeval"
 
-START_MARKER = "<!-- DeepEval release notes start -->"
+START_MARKER = "{/* DeepEval release notes start */}"
+LEGACY_START_MARKER = "<!-- DeepEval release notes start -->"
 
 CATEGORY_ORDER = [
     "Backward Incompatible Change",
@@ -148,21 +149,25 @@ class AiMonthSummary(BaseModel):
 # - Prefer the stable marker (lets humans edit the visible link/text)
 # - Fall back to parsing the link if the marker is missing
 BULLET_PR_RE = re.compile(r"\[#(\d+)\]\(")
-BULLET_PR_MARKER_RE = re.compile(r"<!--\s*pr:(\d+)\s*-->")
+BULLET_PR_MARKER_RE = re.compile(
+    r"(?:<!--\s*pr:(\d+)\s*-->|\{/\*\s*pr:(\d+)\s*\*/\})"
+)
 BULLET_TAIL_RE = re.compile(
-    r"\s*\(\[#\d+\]\([^)]+\)\)\s*<!--\s*pr:\d+\s*-->.*$"
+    r"\s*\(\[#\d+\]\([^)]+\)\)\s*(?:<!--\s*pr:\d+\s*-->|\{/\*\s*pr:\d+\s*\*/\}).*$"
 )
 
 # Optional ignore list to be placed right after START_MARKER to avoid confusing the parser:
 # add a list of PR numbers you would like to be excluded from the generated changelog.
-# <!-- changelog-ignore:
+# {/* changelog-ignore:
 # - 1234
 # - 5678
-# -->
+# */}
 IGNORE_BLOCK_TOP_RE = re.compile(
-    r"(?is)^\s*<!--\s*changelog-ignore:.*?-->\s*\n*"
+    r"(?is)^\s*(?:<!--\s*changelog-ignore:.*?-->|\{/\*\s*changelog-ignore:.*?\*/\})\s*\n*"
+)
+IGNORE_BLOCK_ANY_RE = re.compile(
+    r"(?is)(?:<!--\s*changelog-ignore:(.*?)-->|\{/\*\s*changelog-ignore:(.*?)\*/\})"
 )
-IGNORE_BLOCK_ANY_RE = re.compile(r"(?is)<!--\s*changelog-ignore:(.*?)-->")
 
 ###############
 # Git helpers #
@@ -761,8 +766,16 @@ def _pull_top_ignore_block(s: str) -> Tuple[str, str]:
         rest = s2[matched.end() :]
         return ignore_block.rstrip("\n") + "\n", rest
 
-    if START_MARKER in text:
-        before, _, after = text.partition(START_MARKER)
+    marker_in_text = next(
+        (
+            marker
+            for marker in (START_MARKER, LEGACY_START_MARKER)
+            if marker in text
+        ),
+        None,
+    )
+    if marker_in_text:
+        before, _, after = text.partition(marker_in_text)
         ignore_block, rest = _pull_top_ignore_block(after)
         prefix = before.rstrip() + "\n\n" + START_MARKER + "\n"
         if ignore_block:
@@ -792,21 +805,21 @@ def _pull_top_ignore_block(s: str) -> Tuple[str, str]:
 
 def parse_ignore_prs(text: str) -> set[int]:
     """
-    Parse PR numbers from one or more `<!-- changelog-ignore: ... -->` HTML comment blocks.
+    Parse PR numbers from one or more changelog-ignore comment blocks.
 
     Should be placed immediately after the `START_MARKER`, for example:
 
-        <!-- changelog-ignore:
+        {/* changelog-ignore:
         - 1234
         - 5678
-        -->
+        */}
 
     Lines may contain comments which can be used to document why a PR is being ignored
     Any integers found in the block are treated as PR numbers.
     """
     ignored: set[int] = set()
     for matched in IGNORE_BLOCK_ANY_RE.finditer(text):
-        block = matched.group(1)
+        block = next(group for group in matched.groups() if group is not None)
         for line in block.splitlines():
             line = line.strip()
             if not line or line.startswith("#"):
@@ -875,7 +888,7 @@ def parse_body(body: str) -> ChangelogIndex:
             )
             if not matched:
                 continue
-            pr = int(matched.group(1))
+            pr = int(next(group for group in matched.groups() if group))
             idx[month][category][version][pr] = line.rstrip()
 
     return idx
@@ -1143,7 +1156,7 @@ def _tick() -> None:
                 author = f" ({user_display})"
         line = (
             f"- {title_out} ([#{pr_num}](https://github.com/{OWNER}/{REPO}/pull/{pr_num})) "
-            f"<!-- pr:{pr_num} -->{author}"
+            f"{{/* pr:{pr_num} */}}{author}"
         )
         idx[month][category][tag][pr_num] = line
         _status(f"[{tag}] PR #{pr_num}: done")

CITATION.cff

@@ -6,8 +6,8 @@ authors:
   - family-names: Vongthongsri
     given-names: Kritin
 title: deepeval
-version: 3.9.7
-date-released: "2026-03-30"
+version: 3.9.8
+date-released: "2026-04-26"
 url: https://confident-ai.com
 repository-code: https://github.com/confident-ai/deepeval
 license: Apache-2.0

deepeval/_version.py

@@ -1 +1 @@
-__version__: str = "3.9.7"
+__version__: str = "3.9.8"

docs/components/mdx.tsx

@@ -18,6 +18,8 @@ import LinkCards from "@site/src/components/LinkCards";
 import TechStackCards from "@site/src/components/TechStackCards";
 import { FAQs } from "@site/src/components/FAQ";
 import BlogPostMeta from "@site/src/components/BlogPostMeta";
+import ChangelogContributors from "@site/src/components/ChangelogContributors";
+import RepoContributors from "@site/src/sections/home/RepoContributors";
 
 function DefaultLLMModel() {
   return <code>{DEFAULT_LLM_MODEL}</code>;
@@ -45,6 +47,8 @@ export function getMDXComponents(components?: MDXComponents) {
     TechStackCards,
     FAQs,
     BlogPostMeta,
+    ChangelogContributors,
+    RepoContributors,
     DefaultLLMModel,
     ...components,
   } satisfies MDXComponents;

docs/content/changelog/changelog-2024.mdx

@@ -4,6 +4,22 @@ title: 🐲 2024
 sidebar_label: 🐲 2024
 ---
 
+2024 was all about building DeepEval into a complete evaluation framework:
+
+- **DeepEval 2.0** shipped with refreshed packaging, broader Python support, and smoother installs
+- **Red teaming** expanded with broader vulnerability coverage, stronger attack generation, and updated safety graders
+- **Dataset generation** became more practical with richer synthesizer, dataset, and golden-management workflows
+- **Metric coverage** grew across RAG, summarization, hallucination, bias, toxicity, and custom LLM-as-a-judge use cases
+- **Provider flexibility** improved with custom OpenAI endpoints, local model options, and broader model configuration
+- **Documentation** matured with clearer getting-started flows, dataset tutorials, and platform guidance
+- **Reliability** improved through dependency updates, packaging fixes, and better evaluation ergonomics
+
+## Thank you to our contributors
+
+First things first, DeepEval exists because of everyone who opened issues, reviewed changes, wrote docs, and merged code this year. Thank you for shaping every release with us.
+
+<ChangelogContributors year={2024} limit={96} />
+
 {/* DeepEval release notes start */}
 
 ## December

docs/content/changelog/changelog-2025.mdx

@@ -14,6 +14,13 @@ sidebar_label: 🐍 2025
 - **Reliability** improved with better async handling, timeouts, and retries
 - **Documentation** expanded with comprehensive tutorials to help teams ship confidently
 
+
+## Thank you to our contributors
+
+First things first, DeepEval exists because of everyone who opened issues, reviewed changes, wrote docs, and merged code this year. Thank you for shaping every release with us.
+
+<ChangelogContributors year={2025} limit={96} />
+
 ## December
 
 December strengthened evaluation, multimodal support, and prompt optimization. Multimodal test cases now flow through standard evaluation paths with better placeholder detection, Azure OpenAI support, and clearer validation errors. Prompt optimization expanded with GEPA plus new algorithms, alongside more consistent schema-based outputs and broader provider configuration via typed `Settings`.