Bumped version to v0.1.0-beta.4 (#292)

* Bumped version to v0.1.0-beta.4

* Fixed lock file.

Author: srtab

CHANGELOG.md

@@ -7,6 +7,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+## [0.1.0-beta.4] - 2025-04-06
+
 ### Changed
 
 - Increased `max_tokens` to `4096` for `Anthropic` models.
@@ -30,6 +32,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Command parameter `base_url` on `setup_webhooks` was declared required with a default value, forcing to pass it on every call. Now it's not required and will use the value of `DAIV_EXTERNAL_URL` if not provided.
 - Date and time provided to prompts were defined at compilation time, leading to a fixed date and time on all prompts. Now it's defined at runtime to provide the correct date and time for each execution.
 - CodebaseChat tool calls were being shown outside <thinking> tags on OpenWebUI, polluting the UI.
+- Images were not being extracted from the issue description, leading to hallucinations.
 
 ## [0.1.0-beta.3] - 2025-03-23
 
@@ -526,7 +529,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Initial release of the `daiv` project.
 
-[Unreleased]: https://github.com/srtab/daiv/compare/v0.1.0-beta.3...HEAD
+[Unreleased]: https://github.com/srtab/daiv/compare/v0.1.0-beta.4...HEAD
+[0.1.0-beta.4]: https://github.com/srtab/daiv/compare/v0.1.0-beta.3...v0.1.0-beta.4
 [0.1.0-beta.3]: https://github.com/srtab/daiv/compare/v0.1.0-beta.2...v0.1.0-beta.3
 [0.1.0-beta.2]: https://github.com/srtab/daiv/compare/v0.1.0-beta.1...v0.1.0-beta.2
 [0.1.0-beta.1]: https://github.com/srtab/daiv/compare/v0.1.0-alpha.22...v0.1.0-beta.1

daiv/automation/agents/plan_and_execute/prompts.py

@@ -10,7 +10,7 @@
 
 Before you begin the analysis, make sure that the user's request is completely clear. If any part of the request is ambiguous or unclear, ALWAYS ask for clarification rather than making assumptions.
 
-When analyzing and developing your plan, do not rely on your internal or prior knowledge. Instead, base all conclusions and recommendations strictly on verifiable, factual information from the codebase. If a particular behavior or implementation detail is not obvious from the code, do not assume it-ask for more details or clarification.
+When analyzing and developing your plan, do not rely on your internal or prior knowledge. Instead, base all conclusions and recommendations strictly on verifiable, factual information from the codebase. If a particular behavior or implementation detail is not obvious from the user request or code, do not assume it or infer it, ask for more details or clarification.
 
 <tool_calling>
 You have tools at your disposal to understand the user requests and outline a plan. Follow these rules regarding tool calls:

daiv/automation/agents/review_addressor/prompts.py

@@ -103,7 +103,7 @@
 
 Before you begin the analysis, make sure that the user's request is completely clear. If any part of the request is ambiguous or unclear, ALWAYS ask for clarification rather than making assumptions.
 
-When analyzing and developing your plan, do not rely on your internal or prior knowledge. Instead, base all conclusions and recommendations strictly on verifiable, factual information from the codebase. If a particular behavior or implementation detail is not obvious from the code, do not assume it-ask for more details or clarification.
+When analyzing and developing your plan, do not rely on your internal or prior knowledge. Instead, base all conclusions and recommendations strictly on verifiable, factual information from the codebase. If a particular behavior or implementation detail is not obvious from the user request or code, do not assume it or infer it, ask for more details or clarification.
 
 <tool_calling>
 You have tools at your disposal to understand the diff hunk and comment, and to outline a plan. Follow these rules regarding tool calls:

daiv/daiv/__init__.py

@@ -2,6 +2,6 @@
 # Django starts so that shared_task will use this app.
 from .celeryapp import app as celery_app
 
-__version__ = "0.1.0-beta.3"
+__version__ = "0.1.0-beta.4"
 
 __all__ = ("celery_app",)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "daiv"
-version = "0.1.0-beta.3"
+version = "0.1.0-beta.4"
 description = "Developer assistant automating code issues, reviews, and pipeline fixes using AI Agents."
 readme = "README.md"
 license = { file = "LICENSE" }