Merge pull request #92 from ollama4j/90

Addresses issue where creation of model was failing

.github/workflows/gh-mvn-publish.yml

@@ -0,0 +1,58 @@
+name: Release Artifacts to GitHub Maven Packages
+
+on:
+  release:
+    types: [ created ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up JDK 17
+        uses: actions/setup-java@v3
+        with:
+          java-version: '17'
+          distribution: 'temurin'
+          server-id: github
+          settings-path: ${{ github.workspace }}
+
+      - name: maven-settings-xml-action
+        uses: whelk-io/maven-settings-xml-action@v22
+        with:
+          servers: '[{ "id": "${repo.id}", "username": "${repo.user}", "password": "${repo.pass}" }]'
+
+      - name: Find and Replace
+        uses: jacobtomlinson/gha-find-replace@v3
+        with:
+          find: "ollama4j-revision"
+          replace: ${{ github.ref_name }}
+          regex: false
+
+      - name: Find and Replace
+        uses: jacobtomlinson/gha-find-replace@v3
+        with:
+          find: "mvn-repo-id"
+          replace: github
+          regex: false
+
+      - name: Import GPG key
+        uses: crazy-max/ghaction-import-gpg@v6
+        with:
+          gpg_private_key: ${{ secrets.GPG_PRIVATE_KEY }}
+          passphrase: ${{ secrets.GPG_PASSPHRASE }}
+      - name: List keys
+        run: gpg -K
+
+      - name: Build with Maven
+        run: mvn --file pom.xml -U clean package -Punit-tests
+
+      - name: Publish to GitHub Packages Apache Maven
+        run: mvn deploy -Punit-tests -s $GITHUB_WORKSPACE/settings.xml -Dgpg.passphrase=${{ secrets.GPG_PASSPHRASE }} -Drepo.id=github -Drepo.user=${{ secrets.GH_MVN_USER }} -Drepo.pass=${{ secrets.GH_MVN_PASS }} -DaltDeploymentRepository=github::default::https://maven.pkg.github.com/ollama4j/ollama4j
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/label-issue-stale.yml

@@ -0,0 +1,24 @@
+name: Mark stale issues
+
+on:
+  workflow_dispatch: # for manual run
+  schedule:
+    - cron: '0 0 * * *'  # Runs every day at midnight
+
+permissions:
+  contents: write # only for delete-branch option
+  issues: write
+
+jobs:
+  stale:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Mark stale issues
+        uses: actions/stale@v8
+        with:
+          repo-token: ${{ github.token }}
+          days-before-stale: 15
+          stale-issue-message: 'This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.'
+          days-before-close: 7
+          stale-issue-label: 'stale'
+          exempt-issue-labels: 'pinned,security'

.github/workflows/maven-publish.yml

@@ -1,68 +1,95 @@
 # This workflow will build a package using Maven and then publish it to GitHub packages when a release is created
 # For more information see: https://github.com/actions/setup-java/blob/main/docs/advanced-usage.md#apache-maven-with-a-settings-path
 
-name: Test and Publish Package
-
-#on:
-#  release:
-#    types: [ "created" ]
+name: Release Artifacts to Maven Central
 
 on:
-  push:
-    branches: [ "main" ]
-  workflow_dispatch:
+  release:
+    types: [ created ]
+
+
+#on:
+#  pull_request:
+#    types: [ opened, reopened ]
+#    branches: [ "main" ]
+
 
 jobs:
   build:
+
     runs-on: ubuntu-latest
+
     permissions:
       contents: write
       packages: write
+
     steps:
       - uses: actions/checkout@v3
-      - name: Set up JDK 11
+
+      - name: Set up JDK 17
         uses: actions/setup-java@v3
         with:
-          java-version: '11'
-          distribution: 'adopt-hotspot'
+          java-version: '17'
+          distribution: 'temurin'
           server-id: github # Value of the distributionManagement/repository/id field of the pom.xml
           settings-path: ${{ github.workspace }} # location for the settings.xml file
-      - name: Build with Maven
-        run: mvn --file pom.xml -U clean package -Punit-tests
-      - name: Set up Apache Maven Central (Overwrite settings.xml)
-        uses: actions/setup-java@v3
-        with: # running setup-java again overwrites the settings.xml
-          java-version: '11'
-          distribution: 'adopt-hotspot'
-          cache: 'maven'
-          server-id: ossrh
-          server-username: MAVEN_USERNAME
-          server-password: MAVEN_PASSWORD
-          gpg-private-key: ${{ secrets.GPG_PRIVATE_KEY }}
-          gpg-passphrase: MAVEN_GPG_PASSPHRASE
-      - name: Set up Maven cache
-        uses: actions/cache@v3
+
+      - name: maven-settings-xml-action
+        uses: whelk-io/maven-settings-xml-action@v22
         with:
-          path: ~/.m2/repository
-          key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
-          restore-keys: |
-            ${{ runner.os }}-maven-
-      - name: Build
-        run: mvn -B -ntp clean install
-      - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v3
+          servers: '[{ "id": "${repo.id}", "username": "${repo.user}", "password": "${repo.pass}" }]'
+
+      - name: Import GPG key
+        uses: crazy-max/ghaction-import-gpg@v6
+        with:
+          gpg_private_key: ${{ secrets.GPG_PRIVATE_KEY }}
+          passphrase: ${{ secrets.GPG_PASSPHRASE }}
+      - name: List keys
+        run: gpg -K
+
+      - name: Find and Replace
+        uses: jacobtomlinson/gha-find-replace@v3
+        with:
+          find: "ollama4j-revision"
+          replace: ${{ github.ref_name }}
+          regex: false
+
+      - name: Find and Replace
+        uses: jacobtomlinson/gha-find-replace@v3
+        with:
+          find: "mvn-repo-id"
+          replace: central
+          regex: false
+
+      - name: Publish to Maven Central
+        run: mvn deploy -Dgpg.passphrase=${{ secrets.GPG_PASSPHRASE }} -Drepo.id=central -Drepo.user=${{ secrets.MVN_USER }} -Drepo.pass=${{ secrets.MVN_PASS }}
+
+      - name: Upload Release Asset - JAR
+        uses: actions/upload-release-asset@v1
         env:
-          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-      - name: Publish to GitHub Packages Apache Maven
-        #        if: >
-        #          github.event_name != 'pull_request' &&
-        #          github.ref_name == 'main' &&
-        #          contains(github.event.head_commit.message, 'release')
-        run: |
-          git config --global user.email "koujalgi.amith@gmail.com"
-          git config --global user.name "amithkoujalgi"
-          mvn -B -ntp -DskipTests -Pci-cd -Darguments="-DskipTests -Pci-cd" release:clean release:prepare release:perform
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          upload_url: ${{ github.event.release.upload_url }}
+          asset_path: target/ollama4j-${{ github.ref_name }}.jar
+          asset_name: ollama4j-${{ github.ref_name }}.jar
+          asset_content_type: application/x-jar
+
+      - name: Upload Release Asset - Javadoc JAR
+        uses: actions/upload-release-asset@v1
         env:
-          MAVEN_USERNAME: ${{ secrets.OSSRH_USERNAME }}
-          MAVEN_PASSWORD: ${{ secrets.OSSRH_PASSWORD }}
-          MAVEN_GPG_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          upload_url: ${{ github.event.release.upload_url }}
+          asset_path: target/ollama4j-${{ github.ref_name }}-javadoc.jar
+          asset_name: ollama4j-${{ github.ref_name }}-javadoc.jar
+          asset_content_type: application/x-jar
+
+      - name: Upload Release Asset - Sources JAR
+        uses: actions/upload-release-asset@v1
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          upload_url: ${{ github.event.release.upload_url }}
+          asset_path: target/ollama4j-${{ github.ref_name }}-sources.jar
+          asset_name: ollama4j-${{ github.ref_name }}-sources.jar
+          asset_content_type: application/x-jar

.github/workflows/publish-docs.yml

@@ -2,9 +2,8 @@
 name: Deploy Docs to GH Pages
 
 on:
-  # Runs on pushes targeting the default branch
-  push:
-    branches: [ "main" ]
+  release:
+    types: [ created ]
 
   # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
@@ -47,16 +46,29 @@ jobs:
       - run: cd docs && npm ci
       - run: cd docs && npm run build
 
+      - name: Find and Replace
+        uses: jacobtomlinson/gha-find-replace@v3
+        with:
+          find: "ollama4j-revision"
+          replace: ${{ github.ref_name }}
+          regex: false
+
       - name: Build with Maven
         run: mvn --file pom.xml -U clean package && cp -r ./target/apidocs/. ./docs/build/apidocs
 
+      - name: Doxygen Action
+        uses: mattnotmitt/doxygen-action@v1.1.0
+        with:
+          doxyfile-path: "./Doxyfile"
+          working-directory: "."
+
       - name: Setup Pages
-        uses: actions/configure-pages@v3
+        uses: actions/configure-pages@v5
       - name: Upload artifact
-        uses: actions/upload-pages-artifact@v2
+        uses: actions/upload-pages-artifact@v3
         with:
           # Upload entire repository
           path: './docs/build/.'
       - name: Deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@v2
+        uses: actions/deploy-pages@v4

.github/workflows/publish-javadoc.yml

@@ -1,52 +0,0 @@
-# Simple workflow for deploying static content to GitHub Pages
-name: Deploy Javadoc content to Pages
-
-on:
-  # Runs on pushes targeting the default branch
-  push:
-    branches: [ "none" ]
-
-  # Allows you to run this workflow manually from the Actions tab
-  workflow_dispatch:
-
-# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
-permissions:
-  contents: read
-  pages: write
-  id-token: write
-  packages: write
-# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
-# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
-concurrency:
-  group: "pages"
-  cancel-in-progress: false
-
-jobs:
-  # Single deploy job since we're just deploying
-  deploy:
-    runs-on: ubuntu-latest
-
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up JDK 11
-        uses: actions/setup-java@v3
-        with:
-          java-version: '11'
-          distribution: 'adopt-hotspot'
-          server-id: github # Value of the distributionManagement/repository/id field of the pom.xml
-          settings-path: ${{ github.workspace }} # location for the settings.xml file
-      - name: Build with Maven
-        run: mvn --file pom.xml -U clean package
-      - name: Setup Pages
-        uses: actions/configure-pages@v3
-      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v2
-        with:
-          # Upload entire repository
-          path: './target/apidocs/.'
-      - name: Deploy to GitHub Pages
-        id: deployment
-        uses: actions/deploy-pages@v2

.github/workflows/run-tests.yml

@@ -0,0 +1,29 @@
+name: Run Tests
+
+on:
+  workflow_dispatch:
+    inputs:
+      branch:
+        description: 'Branch name to run tests on'
+        required: true
+        default: 'main'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: ${{ github.event.inputs.branch }}
+
+      - name: Set up JDK 17
+        uses: actions/setup-java@v3
+        with:
+          java-version: '17'
+          distribution: 'temurin'
+          server-id: github
+          settings-path: ${{ github.workspace }}
+
+      - name: Run unit tests
+        run: mvn clean test -Punit-tests

.gitignore

@@ -37,6 +37,8 @@ build/
 ### Mac OS ###
 .DS_Store
 /.idea/
-/src/main/java/io/github/amithkoujalgi/ollama4j/core/localtests/
 pom.xml.*
-release.properties
+release.properties
+!.idea/icon.svg
+
+src/main/java/io/github/ollama4j/localtests

.idea/icon.svg

@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg version="1.1" viewBox="0 0 1478 2048" width="1280" height="1280" xmlns="http://www.w3.org/2000/svg">
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+</svg>

CODE_OF_CONDUCT.md

@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+koujalgi.amith@gmail.com.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

Doxyfile

@@ -0,0 +1,413 @@
+# Doxyfile 1.10.0
+
+#---------------------------------------------------------------------------
+# Project related configuration options
+#---------------------------------------------------------------------------
+DOXYFILE_ENCODING      = UTF-8
+PROJECT_NAME           = "Ollama4j"
+PROJECT_NUMBER         =
+PROJECT_BRIEF          = "A Java library (wrapper/binding) for Ollama server."
+PROJECT_LOGO           = ./logo-small.png
+PROJECT_ICON           = ./logo-small.png
+OUTPUT_DIRECTORY       = ./docs/build/doxygen
+CREATE_SUBDIRS         = NO
+CREATE_SUBDIRS_LEVEL   = 8
+ALLOW_UNICODE_NAMES    = NO
+OUTPUT_LANGUAGE        = English
+BRIEF_MEMBER_DESC      = YES
+REPEAT_BRIEF           = YES
+ABBREVIATE_BRIEF       = "The $name class" \
+                         "The $name widget" \
+                         "The $name file" \
+                         is \
+                         provides \
+                         specifies \
+                         contains \
+                         represents \
+                         a \
+                         an \
+                         the
+ALWAYS_DETAILED_SEC    = NO
+INLINE_INHERITED_MEMB  = NO
+FULL_PATH_NAMES        = YES
+STRIP_FROM_PATH        =
+STRIP_FROM_INC_PATH    =
+SHORT_NAMES            = NO
+JAVADOC_AUTOBRIEF      = NO
+JAVADOC_BANNER         = NO
+QT_AUTOBRIEF           = NO
+MULTILINE_CPP_IS_BRIEF = NO
+PYTHON_DOCSTRING       = YES
+INHERIT_DOCS           = YES
+SEPARATE_MEMBER_PAGES  = NO
+TAB_SIZE               = 4
+ALIASES                =
+OPTIMIZE_OUTPUT_FOR_C  = NO
+OPTIMIZE_OUTPUT_JAVA   = YES
+OPTIMIZE_FOR_FORTRAN   = NO
+OPTIMIZE_OUTPUT_VHDL   = NO
+OPTIMIZE_OUTPUT_SLICE  = NO
+EXTENSION_MAPPING      =
+MARKDOWN_SUPPORT       = YES
+TOC_INCLUDE_HEADINGS   = 5
+MARKDOWN_ID_STYLE      = DOXYGEN
+AUTOLINK_SUPPORT       = YES
+BUILTIN_STL_SUPPORT    = NO
+CPP_CLI_SUPPORT        = NO
+SIP_SUPPORT            = NO
+IDL_PROPERTY_SUPPORT   = YES
+DISTRIBUTE_GROUP_DOC   = NO
+GROUP_NESTED_COMPOUNDS = NO
+SUBGROUPING            = YES
+INLINE_GROUPED_CLASSES = NO
+INLINE_SIMPLE_STRUCTS  = NO
+TYPEDEF_HIDES_STRUCT   = NO
+LOOKUP_CACHE_SIZE      = 0
+NUM_PROC_THREADS       = 1
+TIMESTAMP              = NO
+#---------------------------------------------------------------------------
+# Build related configuration options
+#---------------------------------------------------------------------------
+EXTRACT_ALL            = YES
+EXTRACT_PRIVATE        = NO
+EXTRACT_PRIV_VIRTUAL   = NO
+EXTRACT_PACKAGE        = NO
+EXTRACT_STATIC         = NO
+EXTRACT_LOCAL_CLASSES  = YES
+EXTRACT_LOCAL_METHODS  = NO
+EXTRACT_ANON_NSPACES   = NO
+RESOLVE_UNNAMED_PARAMS = YES
+HIDE_UNDOC_MEMBERS     = NO
+HIDE_UNDOC_CLASSES     = NO
+HIDE_FRIEND_COMPOUNDS  = NO
+HIDE_IN_BODY_DOCS      = NO
+INTERNAL_DOCS          = NO
+CASE_SENSE_NAMES       = SYSTEM
+HIDE_SCOPE_NAMES       = NO
+HIDE_COMPOUND_REFERENCE= NO
+SHOW_HEADERFILE        = YES
+SHOW_INCLUDE_FILES     = YES
+SHOW_GROUPED_MEMB_INC  = NO
+FORCE_LOCAL_INCLUDES   = NO
+INLINE_INFO            = YES
+SORT_MEMBER_DOCS       = YES
+SORT_BRIEF_DOCS        = NO
+SORT_MEMBERS_CTORS_1ST = NO
+SORT_GROUP_NAMES       = NO
+SORT_BY_SCOPE_NAME     = NO
+STRICT_PROTO_MATCHING  = NO
+GENERATE_TODOLIST      = YES
+GENERATE_TESTLIST      = YES
+GENERATE_BUGLIST       = YES
+GENERATE_DEPRECATEDLIST= YES
+ENABLED_SECTIONS       =
+MAX_INITIALIZER_LINES  = 30
+SHOW_USED_FILES        = YES
+SHOW_FILES             = YES
+SHOW_NAMESPACES        = YES
+FILE_VERSION_FILTER    =
+LAYOUT_FILE            =
+CITE_BIB_FILES         =
+#---------------------------------------------------------------------------
+# Configuration options related to warning and progress messages
+#---------------------------------------------------------------------------
+QUIET                  = NO
+WARNINGS               = YES
+WARN_IF_UNDOCUMENTED   = YES
+WARN_IF_DOC_ERROR      = YES
+WARN_IF_INCOMPLETE_DOC = YES
+WARN_NO_PARAMDOC       = NO
+WARN_IF_UNDOC_ENUM_VAL = NO
+WARN_AS_ERROR          = NO
+WARN_FORMAT            = "$file:$line: $text"
+WARN_LINE_FORMAT       = "at line $line of file $file"
+WARN_LOGFILE           =
+#---------------------------------------------------------------------------
+# Configuration options related to the input files
+#---------------------------------------------------------------------------
+INPUT                  = ./src/main
+INPUT_ENCODING         = UTF-8
+INPUT_FILE_ENCODING    =
+FILE_PATTERNS          = *.c \
+                         *.cc \
+                         *.cxx \
+                         *.cxxm \
+                         *.cpp \
+                         *.cppm \
+                         *.ccm \
+                         *.c++ \
+                         *.c++m \
+                         *.java \
+                         *.ii \
+                         *.ixx \
+                         *.ipp \
+                         *.i++ \
+                         *.inl \
+                         *.idl \
+                         *.ddl \
+                         *.odl \
+                         *.h \
+                         *.hh \
+                         *.hxx \
+                         *.hpp \
+                         *.h++ \
+                         *.ixx \
+                         *.l \
+                         *.cs \
+                         *.d \
+                         *.php \
+                         *.php4 \
+                         *.php5 \
+                         *.phtml \
+                         *.inc \
+                         *.m \
+                         *.markdown \
+                         *.md \
+                         *.mm \
+                         *.dox \
+                         *.py \
+                         *.pyw \
+                         *.f90 \
+                         *.f95 \
+                         *.f03 \
+                         *.f08 \
+                         *.f18 \
+                         *.f \
+                         *.for \
+                         *.vhd \
+                         *.vhdl \
+                         *.ucf \
+                         *.qsf \
+                         *.ice
+RECURSIVE              = YES
+EXCLUDE                =
+EXCLUDE_SYMLINKS       = NO
+EXCLUDE_PATTERNS       =
+EXCLUDE_SYMBOLS        =
+EXAMPLE_PATH           =
+EXAMPLE_PATTERNS       = *
+EXAMPLE_RECURSIVE      = NO
+IMAGE_PATH             =
+INPUT_FILTER           =
+FILTER_PATTERNS        =
+FILTER_SOURCE_FILES    = NO
+FILTER_SOURCE_PATTERNS =
+USE_MDFILE_AS_MAINPAGE =
+FORTRAN_COMMENT_AFTER  = 72
+#---------------------------------------------------------------------------
+# Configuration options related to source browsing
+#---------------------------------------------------------------------------
+SOURCE_BROWSER         = YES
+INLINE_SOURCES         = NO
+STRIP_CODE_COMMENTS    = YES
+REFERENCED_BY_RELATION = NO
+REFERENCES_RELATION    = NO
+REFERENCES_LINK_SOURCE = YES
+SOURCE_TOOLTIPS        = YES
+USE_HTAGS              = NO
+VERBATIM_HEADERS       = YES
+CLANG_ASSISTED_PARSING = NO
+CLANG_ADD_INC_PATHS    = YES
+CLANG_OPTIONS          =
+CLANG_DATABASE_PATH    =
+#---------------------------------------------------------------------------
+# Configuration options related to the alphabetical class index
+#---------------------------------------------------------------------------
+ALPHABETICAL_INDEX     = YES
+IGNORE_PREFIX          =
+#---------------------------------------------------------------------------
+# Configuration options related to the HTML output
+#---------------------------------------------------------------------------
+GENERATE_HTML          = YES
+HTML_OUTPUT            = html
+HTML_FILE_EXTENSION    = .html
+HTML_HEADER            =
+HTML_FOOTER            =
+HTML_STYLESHEET        =
+HTML_EXTRA_STYLESHEET  =
+HTML_EXTRA_FILES       =
+HTML_COLORSTYLE        = LIGHT
+HTML_COLORSTYLE_HUE    = 220
+HTML_COLORSTYLE_SAT    = 100
+HTML_COLORSTYLE_GAMMA  = 80
+HTML_DYNAMIC_MENUS     = YES
+HTML_DYNAMIC_SECTIONS  = NO
+HTML_CODE_FOLDING      = YES
+HTML_COPY_CLIPBOARD    = YES
+HTML_PROJECT_COOKIE    =
+HTML_INDEX_NUM_ENTRIES = 100
+GENERATE_DOCSET        = NO
+DOCSET_FEEDNAME        = "Doxygen generated docs"
+DOCSET_FEEDURL         =
+DOCSET_BUNDLE_ID       = org.doxygen.Project
+DOCSET_PUBLISHER_ID    = org.doxygen.Publisher
+DOCSET_PUBLISHER_NAME  = Publisher
+GENERATE_HTMLHELP      = NO
+CHM_FILE               =
+HHC_LOCATION           =
+GENERATE_CHI           = NO
+CHM_INDEX_ENCODING     =
+BINARY_TOC             = NO
+TOC_EXPAND             = NO
+SITEMAP_URL            =
+GENERATE_QHP           = NO
+QCH_FILE               =
+QHP_NAMESPACE          = org.doxygen.Project
+QHP_VIRTUAL_FOLDER     = doc
+QHP_CUST_FILTER_NAME   =
+QHP_CUST_FILTER_ATTRS  =
+QHP_SECT_FILTER_ATTRS  =
+QHG_LOCATION           =
+GENERATE_ECLIPSEHELP   = NO
+ECLIPSE_DOC_ID         = org.doxygen.Project
+DISABLE_INDEX          = NO
+GENERATE_TREEVIEW      = YES
+FULL_SIDEBAR           = NO
+ENUM_VALUES_PER_LINE   = 4
+TREEVIEW_WIDTH         = 250
+EXT_LINKS_IN_WINDOW    = NO
+OBFUSCATE_EMAILS       = YES
+HTML_FORMULA_FORMAT    = png
+FORMULA_FONTSIZE       = 10
+FORMULA_MACROFILE      =
+USE_MATHJAX            = NO
+MATHJAX_VERSION        = MathJax_2
+MATHJAX_FORMAT         = HTML-CSS
+MATHJAX_RELPATH        =
+MATHJAX_EXTENSIONS     =
+MATHJAX_CODEFILE       =
+SEARCHENGINE           = YES
+SERVER_BASED_SEARCH    = NO
+EXTERNAL_SEARCH        = NO
+SEARCHENGINE_URL       =
+SEARCHDATA_FILE        = searchdata.xml
+EXTERNAL_SEARCH_ID     =
+EXTRA_SEARCH_MAPPINGS  =
+#---------------------------------------------------------------------------
+# Configuration options related to the LaTeX output
+#---------------------------------------------------------------------------
+GENERATE_LATEX         = YES
+LATEX_OUTPUT           = latex
+LATEX_CMD_NAME         =
+MAKEINDEX_CMD_NAME     = makeindex
+LATEX_MAKEINDEX_CMD    = makeindex
+COMPACT_LATEX          = NO
+PAPER_TYPE             = a4
+EXTRA_PACKAGES         =
+LATEX_HEADER           =
+LATEX_FOOTER           =
+LATEX_EXTRA_STYLESHEET =
+LATEX_EXTRA_FILES      =
+PDF_HYPERLINKS         = YES
+USE_PDFLATEX           = YES
+LATEX_BATCHMODE        = NO
+LATEX_HIDE_INDICES     = NO
+LATEX_BIB_STYLE        = plain
+LATEX_EMOJI_DIRECTORY  =
+#---------------------------------------------------------------------------
+# Configuration options related to the RTF output
+#---------------------------------------------------------------------------
+GENERATE_RTF           = NO
+RTF_OUTPUT             = rtf
+COMPACT_RTF            = NO
+RTF_HYPERLINKS         = NO
+RTF_STYLESHEET_FILE    =
+RTF_EXTENSIONS_FILE    =
+#---------------------------------------------------------------------------
+# Configuration options related to the man page output
+#---------------------------------------------------------------------------
+GENERATE_MAN           = NO
+MAN_OUTPUT             = man
+MAN_EXTENSION          = .3
+MAN_SUBDIR             =
+MAN_LINKS              = NO
+#---------------------------------------------------------------------------
+# Configuration options related to the XML output
+#---------------------------------------------------------------------------
+GENERATE_XML           = NO
+XML_OUTPUT             = xml
+XML_PROGRAMLISTING     = YES
+XML_NS_MEMB_FILE_SCOPE = NO
+#---------------------------------------------------------------------------
+# Configuration options related to the DOCBOOK output
+#---------------------------------------------------------------------------
+GENERATE_DOCBOOK       = NO
+DOCBOOK_OUTPUT         = docbook
+#---------------------------------------------------------------------------
+# Configuration options for the AutoGen Definitions output
+#---------------------------------------------------------------------------
+GENERATE_AUTOGEN_DEF   = NO
+#---------------------------------------------------------------------------
+# Configuration options related to Sqlite3 output
+#---------------------------------------------------------------------------
+GENERATE_SQLITE3       = NO
+SQLITE3_OUTPUT         = sqlite3
+SQLITE3_RECREATE_DB    = YES
+#---------------------------------------------------------------------------
+# Configuration options related to the Perl module output
+#---------------------------------------------------------------------------
+GENERATE_PERLMOD       = NO
+PERLMOD_LATEX          = NO
+PERLMOD_PRETTY         = YES
+PERLMOD_MAKEVAR_PREFIX =
+#---------------------------------------------------------------------------
+# Configuration options related to the preprocessor
+#---------------------------------------------------------------------------
+ENABLE_PREPROCESSING   = YES
+MACRO_EXPANSION        = NO
+EXPAND_ONLY_PREDEF     = NO
+SEARCH_INCLUDES        = YES
+INCLUDE_PATH           =
+INCLUDE_FILE_PATTERNS  =
+PREDEFINED             =
+EXPAND_AS_DEFINED      =
+SKIP_FUNCTION_MACROS   = YES
+#---------------------------------------------------------------------------
+# Configuration options related to external references
+#---------------------------------------------------------------------------
+TAGFILES               =
+GENERATE_TAGFILE       =
+ALLEXTERNALS           = NO
+EXTERNAL_GROUPS        = YES
+EXTERNAL_PAGES         = YES
+#---------------------------------------------------------------------------
+# Configuration options related to diagram generator tools
+#---------------------------------------------------------------------------
+HIDE_UNDOC_RELATIONS   = YES
+HAVE_DOT               = NO
+DOT_NUM_THREADS        = 0
+DOT_COMMON_ATTR        = "fontname=Helvetica,fontsize=10"
+DOT_EDGE_ATTR          = "labelfontname=Helvetica,labelfontsize=10"
+DOT_NODE_ATTR          = "shape=box,height=0.2,width=0.4"
+DOT_FONTPATH           =
+CLASS_GRAPH            = YES
+COLLABORATION_GRAPH    = YES
+GROUP_GRAPHS           = YES
+UML_LOOK               = NO
+UML_LIMIT_NUM_FIELDS   = 10
+DOT_UML_DETAILS        = NO
+DOT_WRAP_THRESHOLD     = 17
+TEMPLATE_RELATIONS     = NO
+INCLUDE_GRAPH          = YES
+INCLUDED_BY_GRAPH      = YES
+CALL_GRAPH             = NO
+CALLER_GRAPH           = NO
+GRAPHICAL_HIERARCHY    = YES
+DIRECTORY_GRAPH        = YES
+DIR_GRAPH_MAX_DEPTH    = 1
+DOT_IMAGE_FORMAT       = png
+INTERACTIVE_SVG        = NO
+DOT_PATH               =
+DOTFILE_DIRS           =
+DIA_PATH               =
+DIAFILE_DIRS           =
+PLANTUML_JAR_PATH      =
+PLANTUML_CFG_FILE      =
+PLANTUML_INCLUDE_PATH  =
+DOT_GRAPH_MAX_NODES    = 50
+MAX_DOT_GRAPH_DEPTH    = 0
+DOT_MULTI_TARGETS      = NO
+GENERATE_LEGEND        = YES
+DOT_CLEANUP            = YES
+MSCGEN_TOOL            =
+MSCFILE_DIRS           =

Makefile

@@ -1,13 +1,28 @@
 build:
 	mvn -B clean install
 
-ut:
+unit-tests:
 	mvn clean test -Punit-tests
 
-it:
+integration-tests:
 	mvn clean verify -Pintegration-tests
 
+doxygen:
+	doxygen Doxyfile
+
 list-releases:
-	curl 'https://central.sonatype.com/api/internal/browse/component/versions?sortField=normalizedVersion&sortDirection=asc&page=0&size=12&filter=namespace%3Aio.github.amithkoujalgi%2Cname%3Aollama4j' \
+	curl 'https://central.sonatype.com/api/internal/browse/component/versions?sortField=normalizedVersion&sortDirection=desc&page=0&size=20&filter=namespace%3Aio.github.ollama4j%2Cname%3Aollama4j' \
       --compressed \
-      --silent | jq '.components[].version'
+      --silent | jq -r '.components[].version'
+
+build-docs:
+	npm i --prefix docs && npm run build --prefix docs
+
+start-docs:
+	npm i --prefix docs && npm run start --prefix docs
+
+start-cpu:
+	docker run -it -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama
+
+start-gpu:
+	docker run -it --gpus=all -v ~/ollama:/root/.ollama -p 11434:11434 ollama/ollama

README.md

@@ -1,31 +1,51 @@
 ### Ollama4j
 
-<img src='https://raw.githubusercontent.com/amithkoujalgi/ollama4j/65a9d526150da8fcd98e2af6a164f055572bf722/ollama4j.jpeg' width='100' alt="ollama4j-icon">
+<p align="center">
+  <img src='https://raw.githubusercontent.com/ollama4j/ollama4j/65a9d526150da8fcd98e2af6a164f055572bf722/ollama4j.jpeg' width='100' alt="ollama4j-icon">
+</p>
 
-A Java library (wrapper/binding) for [Ollama](https://ollama.ai/) server.
+<div align="center">
+A Java library (wrapper/binding) for Ollama server.
 
-Find more details on the [website](https://amithkoujalgi.github.io/ollama4j/).
+Find more details on the [website](https://ollama4j.github.io/ollama4j/).
 
-![GitHub stars](https://img.shields.io/github/stars/amithkoujalgi/ollama4j)
-![GitHub forks](https://img.shields.io/github/forks/amithkoujalgi/ollama4j)
-![GitHub watchers](https://img.shields.io/github/watchers/amithkoujalgi/ollama4j)
-![GitHub repo size](https://img.shields.io/github/repo-size/amithkoujalgi/ollama4j)
-![GitHub language count](https://img.shields.io/github/languages/count/amithkoujalgi/ollama4j)
-![GitHub top language](https://img.shields.io/github/languages/top/amithkoujalgi/ollama4j)
-![GitHub last commit](https://img.shields.io/github/last-commit/amithkoujalgi/ollama4j?color=green)
-![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Famithkoujalgi%2Follama4j&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false)
+![GitHub stars](https://img.shields.io/github/stars/ollama4j/ollama4j)
+![GitHub forks](https://img.shields.io/github/forks/ollama4j/ollama4j)
+![GitHub watchers](https://img.shields.io/github/watchers/ollama4j/ollama4j)
+![Contributors](https://img.shields.io/github/contributors/ollama4j/ollama4j?style=social)
+![GitHub License](https://img.shields.io/github/license/ollama4j/ollama4j)
 
-[![codecov](https://codecov.io/gh/amithkoujalgi/ollama4j/graph/badge.svg?token=U0TE7BGP8L)](https://codecov.io/gh/amithkoujalgi/ollama4j)
 
-![Build Status](https://github.com/amithkoujalgi/ollama4j/actions/workflows/maven-publish.yml/badge.svg)
+[//]: # (![GitHub repo size]&#40;https://img.shields.io/github/repo-size/ollama4j/ollama4j&#41;)
+
+[//]: # (![GitHub top language]&#40;https://img.shields.io/github/languages/top/ollama4j/ollama4j&#41;)
+
+
+[//]: # (![JitPack Downloads This Month Badge]&#40;https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fjitpack.io%2Fapi%2Fdownloads%2Fio.github.ollama4j%2Follama4j&query=%24.month&label=JitPack%20Downloads%20-%20This%20Month&#41;)
+
+[//]: # (![JitPack Downloads This Week Badge]&#40;https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fjitpack.io%2Fapi%2Fdownloads%2Fio.github.ollama4j%2Follama4j&query=%24.week&label=JitPack%20Downloads%20-%20This%20Week&#41;)
+
+[//]: # (![JitPack Downloads Per Month Badge]&#40;https://jitpack.io/v/ollama4j/ollama4j/month.svg&#41;)
+
+[//]: # (![GitHub Downloads &#40;all assets, all releases&#41;]&#40;https://img.shields.io/github/downloads/ollama4j/ollama4j/total?label=GitHub%20Package%20Downloads&#41;)
+
+![GitHub last commit](https://img.shields.io/github/last-commit/ollama4j/ollama4j?color=green)
+[![codecov](https://codecov.io/gh/ollama4j/ollama4j/graph/badge.svg?token=U0TE7BGP8L)](https://codecov.io/gh/ollama4j/ollama4j)
+![Build Status](https://github.com/ollama4j/ollama4j/actions/workflows/maven-publish.yml/badge.svg)
+
+</div>
+
+[//]: # (![Hits]&#40;https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Follama4j%2Follama4j&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false&#41;)
+
+[//]: # (![GitHub language count]&#40;https://img.shields.io/github/languages/count/ollama4j/ollama4j&#41;)
 
 ## Table of Contents
 
 - [How does it work?](#how-does-it-work)
 - [Requirements](#requirements)
 - [Installation](#installation)
-- [API Spec](#api-spec)
-- [Demo APIs](#try-out-the-apis-with-ollama-server)
+- [API Spec](https://ollama4j.github.io/ollama4j/category/apis---model-management)
+- [Javadoc](https://ollama4j.github.io/ollama4j/apidocs/)
 - [Development](#development)
 - [Contributions](#get-involved)
 - [References](#references)
@@ -46,44 +66,181 @@ Find more details on the [website](https://amithkoujalgi.github.io/ollama4j/).
 
 #### Requirements
 
-![Java](https://img.shields.io/badge/Java-11_+-green.svg?style=just-the-message&labelColor=gray)
+![Java](https://img.shields.io/badge/Java-11_+-green.svg?style=for-the-badge&labelColor=gray&label=Java&color=orange)
 
-[![][ollama-shield]][ollama] **Or** [![][ollama-docker-shield]][ollama-docker]
 
-[ollama]: https://ollama.ai/
+<a href="https://ollama.com/" target="_blank">
+  <img src="https://img.shields.io/badge/v0.3.0-green.svg?style=for-the-badge&labelColor=gray&label=Ollama&color=blue" alt=""/>
+</a>
 
-[ollama-shield]: https://img.shields.io/badge/Ollama-Local_Installation-blue.svg?style=just-the-message&labelColor=gray
+<table>
+<tr>
+<td> 
 
-[ollama-docker]: https://hub.docker.com/r/ollama/ollama
+<a href="https://ollama.ai/" target="_blank">Local Installation</a>
 
-[ollama-docker-shield]: https://img.shields.io/badge/Ollama-Docker-blue.svg?style=just-the-message&labelColor=gray
+</td> 
 
-#### Installation
+<td> 
+
+<a href="https://hub.docker.com/r/ollama/ollama" target="_blank">Docker Installation</a>
+
+</td>
+</tr>
+<tr>
+<td>
+
+<a href="https://ollama.com/download/Ollama-darwin.zip" target="_blank">Download for macOS</a>
+
+<a href="https://ollama.com/download/OllamaSetup.exe" target="_blank">Download for Windows</a>
+
+Install on Linux
+
+```shell 
+curl -fsSL https://ollama.com/install.sh | sh
+```
+
+</td>
+<td>
+
+
+
+CPU only
+
+```shell
+docker run -d -p 11434:11434 \
+  -v ollama:/root/.ollama \
+  --name ollama \
+  ollama/ollama
+```
+
+NVIDIA GPU
+
+```shell
+docker run -d -p 11434:11434 \
+  --gpus=all \
+  -v ollama:/root/.ollama \
+  --name ollama \
+  ollama/ollama
+```
+
+</td>
+</tr>
+</table>
+
+## Installation
+
+> [!NOTE]
+> We are now publishing the artifacts to both Maven Central and GitHub package repositories.
+>
+> Track the releases [here](https://github.com/ollama4j/ollama4j/releases) and update the dependency version
+> according to your requirements.
+
+### For Maven
+
+#### Using [Maven Central](https://central.sonatype.com/)
+
+[![][ollama4j-mvn-releases-shield]][ollama4j-mvn-releases-link]
+
+[ollama4j-mvn-releases-link]: https://central.sonatype.com/artifact/io.github.ollama4j/ollama4j/overview
+
+[ollama4j-mvn-releases-shield]: https://img.shields.io/maven-central/v/io.github.ollama4j/ollama4j?display_name=release&style=for-the-badge&label=From%20Maven%20Central
 
 In your Maven project, add this dependency:
 
 ```xml
 
 <dependency>
-    <groupId>io.github.amithkoujalgi</groupId>
+    <groupId>io.github.ollama4j</groupId>
     <artifactId>ollama4j</artifactId>
-    <version>1.0.29</version>
+    <version>1.0.93</version>
 </dependency>
 ```
 
-Latest release:
+#### Using GitHub's Maven Package Repository
 
-![Maven Central](https://img.shields.io/maven-central/v/io.github.amithkoujalgi/ollama4j)
+[![][ollama4j-releases-shield]][ollama4j-releases-link]
 
-[![][lib-shield]][lib]
+[ollama4j-releases-link]: https://github.com/ollama4j/ollama4j/releases
 
-[lib]: https://central.sonatype.com/artifact/io.github.amithkoujalgi/ollama4j
+[ollama4j-releases-shield]: https://img.shields.io/github/v/release/ollama4j/ollama4j?display_name=release&style=for-the-badge&label=From%20GitHub%20Packages
+
+1. Add `GitHub Maven Packages` repository to your project's `pom.xml` or your `settings.xml`:
+
+```xml
+
+<repositories>
+    <repository>
+        <id>github</id>
+        <name>GitHub Apache Maven Packages</name>
+        <url>https://maven.pkg.github.com/ollama4j/ollama4j</url>
+        <releases>
+            <enabled>true</enabled>
+        </releases>
+        <snapshots>
+            <enabled>true</enabled>
+        </snapshots>
+    </repository>
+</repositories>
+```
+
+2. Add `GitHub` server to settings.xml. (Usually available at ~/.m2/settings.xml)
+
+```xml
+
+<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
+          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+          xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0
+                      http://maven.apache.org/xsd/settings-1.0.0.xsd">
+    <servers>
+        <server>
+            <id>github</id>
+            <username>YOUR-USERNAME</username>
+            <password>YOUR-TOKEN</password>
+        </server>
+    </servers>
+</settings>
+```
+
+3. In your Maven project, add this dependency:
+
+```xml
+
+<dependency>
+    <groupId>io.github.ollama4j</groupId>
+    <artifactId>ollama4j</artifactId>
+    <version>1.0.93</version>
+</dependency>
+```
+
+### For Gradle
+
+1. Add the dependency
+
+```groovy
+dependencies {
+    implementation 'io.github.ollama4j:ollama4j:1.0.93'
+}
+```
+
+[//]: # (Latest release:)
+
+[//]: # ()
+
+[//]: # (![Maven Central]&#40;https://img.shields.io/maven-central/v/io.github.ollama4j/ollama4j&#41;)
+
+[//]: # ()
+
+[//]: # ([![][lib-shield]][lib])
+
+[lib]: https://central.sonatype.com/artifact/io.github.ollama4j/ollama4j
 
 [lib-shield]: https://img.shields.io/badge/ollama4j-get_latest_version-blue.svg?style=just-the-message&labelColor=gray
 
 #### API Spec
 
-Find the full API specifications on the [website](https://amithkoujalgi.github.io/ollama4j/).
+> [!TIP]
+> Find the full API specifications on the [website](https://ollama4j.github.io/ollama4j/).
 
 #### Development
 
@@ -96,57 +253,106 @@ make build
 Run unit tests:
 
 ```shell
-make ut
+make unit-tests
 ```
 
 Run integration tests:
 
 ```shell
-make it
+make integration-tests
 ```
 
 #### Releases
 
-Releases (newer artifact versions) are done automatically on pushing the code to the `main` branch through GitHub
-Actions CI workflow.
+Newer artifacts are published via GitHub Actions CI workflow when a new release is created from `main` branch.
 
-#### Traction
+## ⭐ Give us a Star!
 
-[![Star History Chart](https://api.star-history.com/svg?repos=amithkoujalgi/ollama4j&type=Date)](https://star-history.com/#amithkoujalgi/ollama4j&Date)
+If you like or are using this project to build your own, please give us a star. It's a free way to show your support.
 
-### Areas of improvement
+## Who's using Ollama4j?
 
-- [x] Use Java-naming conventions for attributes in the request/response models instead of the
-  snake-case conventions. (
-  possibly with Jackson-mapper's `@JsonProperty`)
-- [x] Fix deprecated HTTP client code
-- [x] Setup logging
-- [x] Use lombok
-- [x] Update request body creation with Java objects
-- [ ] Async APIs for images
-- [ ] Add custom headers to requests
-- [ ] Add additional params for `ask` APIs such as:
-    - `options`: additional model parameters for the Modelfile such as `temperature`
-    - `system`: system prompt to (overrides what is defined in the Modelfile)
-    - `template`: the full prompt or prompt template (overrides what is defined in the Modelfile)
-    - `context`: the context parameter returned from a previous request, which can be used to keep a
-      short
-      conversational memory
-    - `stream`: Add support for streaming responses from the model
-- [ ] Add test cases
-- [ ] Handle exceptions better (maybe throw more appropriate exceptions)
+| # | Project Name      | Description                                                                                                   | Link                                                                                                                                           |
+|---|-------------------|---------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------|
+| 1 | Datafaker         | A library to generate fake data                                                                               | [GitHub](https://github.com/datafaker-net/datafaker-experimental/tree/main/ollama-api)                                                         |
+| 2 | Vaadin Web UI     | UI-Tester for interactions with Ollama via ollama4j                                                           | [GitHub](https://github.com/TEAMPB/ollama4j-vaadin-ui)                                                                                         |
+| 3 | ollama-translator | A Minecraft 1.20.6 Spigot plugin that translates all messages into a specific target language via Ollama      | [GitHub](https://github.com/liebki/ollama-translator)                                                                                          |
+| 4 | AI Player         | A Minecraft mod that adds an intelligent "second player" to the game                                          | [GitHub](https://github.com/shasankp000/AI-Player), <br/> [Reddit Thread](https://www.reddit.com/r/fabricmc/comments/1e65x5s/comment/ldr2vcf/) |
+| 5 | Ollama4j Web UI   | A web UI for Ollama written in Java using Spring Boot, Vaadin, and Ollama4j                                   | [GitHub](https://github.com/ollama4j/ollama4j-web-ui)                                                                                          |
+| 6 | JnsCLI            | A command-line tool for Jenkins that manages jobs, builds, and configurations, with AI-powered error analysis | [GitHub](https://github.com/mirum8/jnscli)                                                                                                     |
+| 7 | Katie Backend     | An open-source AI-based question-answering platform for accessing private domain knowledge                    | [GitHub](https://github.com/wyona/katie-backend)                                                                                               |
+| 8 | TeleLlama3 Bot    | A question-answering Telegram bot                                                                             | [Repo](https://git.hiast.edu.sy/mohamadbashar.disoki/telellama3-bot)                                                                           |
+| 9 | moqui-wechat      | A moqui-wechat component                                                                                      | [GitHub](https://github.com/heguangyong/moqui-wechat)                                                                                          |
+| 10 | B4X      | A set of simple and powerful RAD tool for Desktop and Server development                                              | [Website](https://www.b4x.com/android/forum/threads/ollama4j-library-pnd_ollama4j-your-local-offline-llm-like-chatgpt.165003/)     |                                                              
+
+
+## Traction
+
+[![Star History Chart](https://api.star-history.com/svg?repos=ollama4j/ollama4j&type=Date)](https://star-history.com/#ollama4j/ollama4j&Date)
+
+## Get Involved
+
+<div align="center">
+
+<a href="">![Open Issues](https://img.shields.io/github/issues-raw/ollama4j/ollama4j)</a>
+<a href="">![Closed Issues](https://img.shields.io/github/issues-closed-raw/ollama4j/ollama4j)</a>
+<a href="">![Open PRs](https://img.shields.io/github/issues-pr-raw/ollama4j/ollama4j)</a>
+<a href="">![Closed PRs](https://img.shields.io/github/issues-pr-closed-raw/ollama4j/ollama4j)</a>
+<a href="">![Discussions](https://img.shields.io/github/discussions/ollama4j/ollama4j)</a>
+
+</div>
+
+
+[//]: # (![GitHub Issues or Pull Requests]&#40;https://img.shields.io/github/issues-raw/ollama4j/ollama4j&#41;)
+
+[//]: # (![GitHub Issues or Pull Requests]&#40;https://img.shields.io/github/issues-closed-raw/ollama4j/ollama4j&#41;)
+
+[//]: # (![GitHub Issues or Pull Requests]&#40;https://img.shields.io/github/issues-pr-raw/ollama4j/ollama4j&#41;)
+
+[//]: # (![GitHub Issues or Pull Requests]&#40;https://img.shields.io/github/issues-pr-closed-raw/ollama4j/ollama4j&#41;)
+
+[//]: # (![GitHub Discussions]&#40;https://img.shields.io/github/discussions/ollama4j/ollama4j&#41;)
 
-### Get Involved
 
 Contributions are most welcome! Whether it's reporting a bug, proposing an enhancement, or helping
 with code - any sort
 of contribution is much appreciated.
 
+## 🏷️ License and Citation
+
+The code is available under [MIT License](./LICENSE).
+
+If you find this project helpful in your research, please cite this work at
+
+```
+@misc{ollama4j2024,
+    author       = {Amith Koujalgi},
+    title        = {Ollama4j: A Java Library (Wrapper/Binding) for Ollama Server},
+    year         = {2024},
+    month        = {January},
+    url          = {https://github.com/ollama4j/ollama4j}
+}
+```
+
+### References
+
+- [Ollama REST APIs](https://github.com/jmorganca/ollama/blob/main/docs/api.md)
+
 ### Credits
 
 The nomenclature and the icon have been adopted from the incredible [Ollama](https://ollama.ai/)
 project.
 
-### References
+**Thanks to the amazing contributors**
 
-- [Ollama REST APIs](https://github.com/jmorganca/ollama/blob/main/docs/api.md)
+<p align="center">
+  <a href="https://github.com/ollama4j/ollama4j/graphs/contributors">
+    <img src="https://contrib.rocks/image?repo=ollama4j/ollama4j"  alt=""/>
+  </a>
+</p>
+
+### Appreciate my work?
+
+<p align="center">
+  <a href="https://www.buymeacoffee.com/amithkoujalgi" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
+</p>

docs/blog/2023-12-22-release-post.md

@@ -11,7 +11,7 @@ Hey there, my fellow Java Developers! 🚀
 I am glad to announce the release of Ollama4j, a library that unites Ollama (an LLM manager and runner) and your Java
 applications! 🌐🚀
 
-👉 GitHub Repository: Ollama4j on GitHub (https://github.com/amithkoujalgi/ollama4j)
+👉 GitHub Repository: Ollama4j on GitHub (https://github.com/ollama4j/ollama4j)
 
 🌟 Key Features:
 
@@ -58,9 +58,9 @@ elevate your projects.
 
 I look forward to seeing the incredible applications/projects you'll build with Ollama4j! 🌟
 
-Find the full API spec here: https://amithkoujalgi.github.io/ollama4j/
+Find the full API spec here: https://ollama4j.github.io/ollama4j/
 
-Find the Javadoc here: https://amithkoujalgi.github.io/ollama4j/apidocs/
+Find the Javadoc here: https://ollama4j.github.io/ollama4j/apidocs/
 
 Ollama4j Docs is powered by [Docusaurus](https://docusaurus.io).
 

docs/docs/apis-ask/ask-async.md

@@ -1,42 +0,0 @@
----
-sidebar_position: 2
----
-
-# Ask - Async
-
-This API lets you ask questions to the LLMs in a asynchronous way.
-These APIs correlate to
-the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
-
-```java
-public class Main {
-
-    public static void main(String[] args) {
-
-        String host = "http://localhost:11434/";
-
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        String prompt = "Who are you?";
-
-        OllamaAsyncResultCallback callback = ollamaAPI.askAsync(OllamaModelType.LLAMA2, prompt);
-
-        while (!callback.isComplete() || !callback.getStream().isEmpty()) {
-            // poll for data from the response stream
-            String result = callback.getStream().poll();
-            if (response != null) {
-                System.out.print(result.getResponse());
-            }
-            Thread.sleep(100);
-        }
-    }
-}
-```
-
-You will get a response similar to:
-
-> I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational
-> manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide
-> range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that
-> require
-> natural language understanding and generation capabilities.

docs/docs/apis-ask/ask.md

@@ -1,106 +0,0 @@
----
-sidebar_position: 1
----
-
-# Ask - Sync
-
-This API lets you ask questions to the LLMs in a synchronous way.
-These APIs correlate to
-the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
-
-## Try asking a question about the model.
-
-```java
-public class Main {
-
-    public static void main(String[] args) {
-
-        String host = "http://localhost:11434/";
-
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        OllamaResult result = ollamaAPI.ask(OllamaModelType.LLAMA2, "Who are you?");
-
-        System.out.println(result.getResponse());
-    }
-}
-```
-
-You will get a response similar to:
-
-> I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational
-> manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide
-> range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that
-> require
-> natural language understanding and generation capabilities.
-
-## Try asking a question from general topics.
-
-```java
-public class Main {
-
-    public static void main(String[] args) {
-
-        String host = "http://localhost:11434/";
-
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        String prompt = "List all cricket world cup teams of 2019.";
-
-        OllamaResult result = ollamaAPI.ask(OllamaModelType.LLAMA2, prompt);
-
-        System.out.println(result.getResponse());
-    }
-}
-```
-
-You'd then get a response from the model:
-
-> The 2019 ICC Cricket World Cup was held in England and Wales from May 30 to July 14, 2019. The
-> following teams
-> participated in the tournament:
->
-> 1. Afghanistan
-> 2. Australia
-> 3. Bangladesh
-> 4. England
-> 5. India
-> 6. New Zealand
-> 7. Pakistan
-> 8. South Africa
-> 9. Sri Lanka
-> 10. West Indies
->
-> These teams competed in a round-robin format, with the top four teams advancing to the
-> semi-finals. The tournament was
-> won by the England cricket team, who defeated New Zealand in the final.
-
-## Try asking for a Database query for your data schema.
-
-```java
-public class Main {
-
-    public static void main(String[] args) {
-        String host = "http://localhost:11434/";
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        String prompt = SamplePrompts.getSampleDatabasePromptWithQuestion(
-                "List all customer names who have bought one or more products");
-        OllamaResult result = ollamaAPI.ask(OllamaModelType.SQLCODER, prompt);
-        System.out.println(result.getResponse());
-    }
-}
-```
-
-_Note: Here I've used
-a [sample prompt](https://github.com/amithkoujalgi/ollama4j/blob/main/src/main/resources/sample-db-prompt-template.txt)
-containing a database schema from within this library for demonstration purposes._
-
-You'd then get a response from the model:
-
-```sql
-SELECT customers.name
-FROM sales
-         JOIN customers ON sales.customer_id = customers.customer_id
-GROUP BY customers.name;
-```

docs/docs/apis-ask/generate-embeddings.md

@@ -1,46 +0,0 @@
----
-sidebar_position: 5
----
-
-# Generate Embeddings
-
-Generate embeddings from a model.
-
-Parameters:
-
-- `model`: name of model to generate embeddings from
-- `prompt`: text to generate embeddings for
-
-```java
-public class Main {
-
-    public static void main(String[] args) {
-
-        String host = "http://localhost:11434/";
-
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        List<Double> embeddings = ollamaAPI.generateEmbeddings(OllamaModelType.LLAMA2,
-                "Here is an article about llamas...");
-
-        embeddings.forEach(System.out::println);
-    }
-}
-```
-
-You will get a response similar to:
-
-```json
- [
-  0.5670403838157654,
-  0.009260174818336964,
-  0.23178744316101074,
-  -0.2916173040866852,
-  -0.8924556970596313,
-  0.8785552978515625,
-  -0.34576427936553955,
-  0.5742510557174683,
-  -0.04222835972905159,
-  -0.137906014919281
-]
-```

docs/docs/apis-extras/_category_.json

@@ -1,6 +1,6 @@
 {
   "label": "APIs - Extras",
-  "position": 10,
+  "position": 4,
   "link": {
     "type": "generated-index",
     "description": "Details of APIs to handle bunch of extra stuff."

docs/docs/apis-extras/basic-auth.md

@@ -10,6 +10,8 @@ Ollama server would be setup behind a gateway/reverse proxy with basic auth.
 After configuring basic authentication, all subsequent requests will include the Basic Auth header.
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+
 public class Main {
 
     public static void main(String[] args) {

docs/docs/apis-extras/options-builder.md

@@ -0,0 +1,79 @@
+---
+sidebar_position: 1
+---
+
+# Options Builder
+
+This lets you build options for the `ask()` API.
+
+Following are the parameters supported by Ollama:
+
+| Parameter      | Description                                                                                                                                                                                                                                             | Value Type | Example Usage        |
+|----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|----------------------|
+| mirostat       | Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)                                                                                                                                         | int        | mirostat 0           |
+| mirostat_eta   | Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1)                        | float      | mirostat_eta 0.1     |
+| mirostat_tau   | Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. (Default: 5.0)                                                                                                         | float      | mirostat_tau 5.0     |
+| num_ctx        | Sets the size of the context window used to generate the next token. (Default: 2048)                                                                                                                                                                    | int        | num_ctx 4096         |
+| num_gqa        | The number of GQA groups in the transformer layer. Required for some models, for example it is 8 for llama2:70b                                                                                                                                         | int        | num_gqa 1            |
+| num_gpu        | The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable.                                                                                                                                            | int        | num_gpu 50           |
+| num_thread     | Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). | int        | num_thread 8         |
+| repeat_last_n  | Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)                                                                                                                                           | int        | repeat_last_n 64     |
+| repeat_penalty | Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1)                                                                     | float      | repeat_penalty 1.1   |
+| temperature    | The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8)                                                                                                                                     | float      | temperature 0.7      |
+| seed           | Sets the random number seed to use for generation. Setting this to a specific number will make the model generate the same text for the same prompt. (Default: 0)                                                                                       | int        | seed 42              |
+| stop           | Sets the stop sequences to use. When this pattern is encountered the LLM will stop generating text and return. Multiple stop patterns may be set by specifying multiple separate `stop` parameters in a modelfile.                                      | string     | stop "AI assistant:" |
+| tfs_z          | Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (default: 1)                                               | float      | tfs_z 1              |
+| num_predict    | Maximum number of tokens to predict when generating text. (Default: 128, -1 = infinite generation, -2 = fill context)                                                                                                                                   | int        | num_predict 42       |
+| top_k          | Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40)                                                                        | int        | top_k 40             |
+| top_p          | Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9)                                                                 | float      | top_p 0.9            |
+
+Link to [source](https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values).
+
+Also, see how to set those Ollama parameters using
+the `OptionsBuilder`
+from [javadoc](https://ollama4j.github.io/ollama4j/apidocs/io/github/ollama4j/ollama4j/core/utils/OptionsBuilder.html).
+
+## Build an empty `Options` object
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.utils.Options;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        Options options = new OptionsBuilder().build();
+    }
+}
+```
+
+## Build the `Options` object with values
+
+```java
+import io.github.ollama4j.utils.Options;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        Options options =
+                new OptionsBuilder()
+                        .setMirostat(10)
+                        .setMirostatEta(0.5f)
+                        .setNumGpu(2)
+                        .setTemperature(1.5f)
+                        .build();
+    }
+}
+```

docs/docs/apis-extras/ping.md

@@ -7,6 +7,8 @@ sidebar_position: 3
 This API lets you check the reachability of Ollama server.
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+
 public class Main {
 
     public static void main(String[] args) {

docs/docs/apis-extras/ps.md

@@ -0,0 +1,30 @@
+---
+sidebar_position: 4
+---
+
+# PS
+
+This API provides a list of running models and details about each model currently loaded into memory.
+
+This API corresponds to the [PS](https://github.com/ollama/ollama/blob/main/docs/api.md#list-running-models) API.
+
+```java
+package io.github.ollama4j.localtests;
+
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.models.ps.ModelsProcessResponse;
+
+import java.io.IOException;
+
+public class Main {
+    public static void main(String[] args) {
+
+        OllamaAPI ollamaAPI = new OllamaAPI("http://localhost:11434");
+
+        ModelsProcessResponse response = ollamaAPI.ps();
+
+        System.out.println(response);
+    }
+}
+```

docs/docs/apis-extras/request-timeout.md

@@ -7,6 +7,8 @@ sidebar_position: 2
 This API lets you set the request timeout for the Ollama client.
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+
 public class Main {
 
   public static void main(String[] args) {

docs/docs/apis-extras/verbosity.md

@@ -9,6 +9,8 @@ This API lets you set the verbosity of the Ollama client.
 ## Try asking a question about the model.
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+
 public class Main {
 
     public static void main(String[] args) {

docs/docs/apis-generate/_category_.json

@@ -1,6 +1,6 @@
 {
-  "label": "APIs - Ask",
-  "position": 10,
+  "label": "APIs - Generate",
+  "position": 3,
   "link": {
     "type": "generated-index",
     "description": "Details of APIs to interact with LLMs."

docs/docs/apis-generate/chat.md

@@ -0,0 +1,272 @@
+---
+sidebar_position: 7
+---
+
+# Chat
+
+This API lets you create a conversation with LLMs. Using this API enables you to ask questions to the model including
+information using the history of already asked questions and the respective answers.
+
+## Create a new conversation and use chat history to augment follow up questions
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
+import io.github.ollama4j.models.chat.OllamaChatRequest;
+import io.github.ollama4j.models.chat.OllamaChatResult;
+import io.github.ollama4j.types.OllamaModelType;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAMA2);
+
+        // create first user question
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "What is the capital of France?")
+                .build();
+
+        // start conversation with model
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+
+        System.out.println("First answer: " + chatResult.getResponseModel().getMessage().getContent());
+
+        // create next userQuestion
+        requestModel = builder.withMessages(chatResult.getChatHistory()).withMessage(OllamaChatMessageRole.USER, "And what is the second largest city?").build();
+
+        // "continue" conversation with model
+        chatResult = ollamaAPI.chat(requestModel);
+
+        System.out.println("Second answer: " + chatResult.getResponseModel().getMessage().getContent());
+
+        System.out.println("Chat History: " + chatResult.getChatHistory());
+    }
+}
+
+```
+
+You will get a response similar to:
+
+> First answer: Should be Paris!
+>
+> Second answer: Marseille.
+>
+> Chat History:
+
+```json
+[
+  {
+    "role": "user",
+    "content": "What is the capital of France?",
+    "images": []
+  },
+  {
+    "role": "assistant",
+    "content": "Should be Paris!",
+    "images": []
+  },
+  {
+    "role": "user",
+    "content": "And what is the second largest city?",
+    "images": []
+  },
+  {
+    "role": "assistant",
+    "content": "Marseille.",
+    "images": []
+  }
+]
+```
+
+## Conversational loop
+
+```java
+public class Main {
+
+    public static void main(String[] args) {
+
+        OllamaAPI ollamaAPI = new OllamaAPI();
+        ollamaAPI.setRequestTimeoutSeconds(60);
+
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance("<your-model>");
+
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "<your-first-message>").build();
+        OllamaChatResult initialChatResult = ollamaAPI.chat(requestModel);
+        System.out.println(initialChatResult.getResponse());
+
+        List<OllamaChatMessage> history = initialChatResult.getChatHistory();
+
+        while (true) {
+            OllamaChatResult chatResult = ollamaAPI.chat(builder.withMessages(history).withMessage(OllamaChatMessageRole.USER, "<your-new-message").build());
+            System.out.println(chatResult.getResponse());
+            history = chatResult.getChatHistory();
+        }
+    }
+}
+```
+
+## Create a conversation where the answer is streamed
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+import io.github.ollama4j.models.chat.OllamaChatRequest;
+import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
+import io.github.ollama4j.models.chat.OllamaChatResult;
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER,
+                        "What is the capital of France? And what's France's connection with Mona Lisa?")
+                .build();
+
+        // define a handler (Consumer<String>)
+        OllamaStreamHandler streamHandler = (s) -> {
+            System.out.println(s);
+        };
+
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel, streamHandler);
+    }
+}
+```
+
+You will get a response similar to:
+
+> The
+> The capital
+> The capital of
+> The capital of France
+> The capital of France is
+> The capital of France is Paris
+> The capital of France is Paris.
+
+## Use a simple Console Output Stream Handler
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.impl.ConsoleOutputStreamHandler;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
+import io.github.ollama4j.models.chat.OllamaChatRequest;
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+import io.github.ollama4j.types.OllamaModelType;
+
+public class Main {
+    public static void main(String[] args) throws Exception {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAMA2);
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "List all cricket world cup teams of 2019. Name the teams!")
+                .build();
+        OllamaStreamHandler streamHandler = new ConsoleOutputStreamHandler();
+        ollamaAPI.chat(requestModel, streamHandler);
+    }
+}
+```
+
+## Create a new conversation with individual system prompt
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
+import io.github.ollama4j.models.chat.OllamaChatRequest;
+import io.github.ollama4j.models.chat.OllamaChatResult;
+import io.github.ollama4j.types.OllamaModelType;
+
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAMA2);
+
+        // create request with system-prompt (overriding the model defaults) and user question
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.SYSTEM, "You are a silent bot that only says 'NI'. Do not say anything else under any circumstances!")
+                .withMessage(OllamaChatMessageRole.USER, "What is the capital of France? And what's France's connection with Mona Lisa?")
+                .build();
+
+        // start conversation with model
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+
+        System.out.println(chatResult.getResponseModel());
+    }
+}
+
+```
+
+You will get a response similar to:
+
+> NI.
+
+## Create a conversation about an image (requires model with image recognition skills)
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+import io.github.ollama4j.models.chat.OllamaChatRequest;
+import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
+import io.github.ollama4j.models.chat.OllamaChatResult;
+import io.github.ollama4j.types.OllamaModelType;
+
+import java.io.File;
+import java.util.List;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(OllamaModelType.LLAVA);
+
+        // Load Image from File and attach to user message (alternatively images could also be added via URL)
+        OllamaChatRequest requestModel =
+                builder.withMessage(OllamaChatMessageRole.USER, "What's in the picture?",
+                        List.of(
+                                new File("/path/to/image"))).build();
+
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+        System.out.println("First answer: " + chatResult.getResponseModel());
+
+        builder.reset();
+
+        // Use history to ask further questions about the image or assistant answer
+        requestModel =
+                builder.withMessages(chatResult.getChatHistory())
+                        .withMessage(OllamaChatMessageRole.USER, "What's the dogs breed?").build();
+
+        chatResult = ollamaAPI.chat(requestModel);
+        System.out.println("Second answer: " + chatResult.getResponseModel());
+    }
+}
+```
+
+You will get a response similar to:
+
+> First Answer: The image shows a dog sitting on the bow of a boat that is docked in calm water. The boat has two
+> levels, with the lower level containing seating and what appears to be an engine cover. The dog seems relaxed and
+> comfortable on the boat, looking out over the water. The background suggests it might be late afternoon or early
+> evening, given the warm lighting and the low position of the sun in the sky.
+>
+> Second Answer: Based on the image, it's difficult to definitively determine the breed of the dog. However, the dog
+> appears to be medium-sized with a short coat and a brown coloration, which might suggest that it is a Golden Retriever
+> or a similar breed. Without more details like ear shape and tail length, it's not possible to identify the exact breed
+> confidently.

docs/docs/apis-generate/custom-roles.md

@@ -0,0 +1,65 @@
+---
+sidebar_position: 8
+---
+
+# Custom Roles
+
+Allows to manage custom roles (apart from the base roles) for chat interactions with the models.
+
+_Particularly helpful when you would need to use different roles that the newer models support other than the base
+roles._
+
+_Base roles are `SYSTEM`, `USER`, `ASSISTANT`, `TOOL`._
+
+### Usage
+
+#### Add new role
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+
+public class Main {
+
+    public static void main(String[] args) {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        OllamaChatMessageRole customRole = ollamaAPI.addCustomRole("custom-role");
+    }
+}
+```
+
+#### List roles
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+
+public class Main {
+
+    public static void main(String[] args) {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        List<OllamaChatMessageRole> roles = ollamaAPI.listRoles();
+    }
+}
+```
+
+#### Get role
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.chat.OllamaChatMessageRole;
+
+public class Main {
+
+    public static void main(String[] args) {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        List<OllamaChatMessageRole> roles = ollamaAPI.getRole("custom-role");
+    }
+}
+```

docs/docs/apis-generate/generate-async.md

@@ -0,0 +1,48 @@
+---
+sidebar_position: 2
+---
+
+# Generate - Async
+
+This API lets you ask questions to the LLMs in a asynchronous way.
+This is particularly helpful when you want to issue a generate request to the LLM and collect the response in the
+background (such as threads) without blocking your code until the response arrives from the model.
+
+This API corresponds to
+the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) API.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaAsyncResultStreamer;
+import io.github.ollama4j.types.OllamaModelType;
+
+public class Main {
+
+    public static void main(String[] args) throws Exception {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        ollamaAPI.setRequestTimeoutSeconds(60);
+        String prompt = "List all cricket world cup teams of 2019.";
+        OllamaAsyncResultStreamer streamer = ollamaAPI.generateAsync(OllamaModelType.LLAMA3, prompt, false);
+
+        // Set the poll interval according to your needs. 
+        // Smaller the poll interval, more frequently you receive the tokens.
+        int pollIntervalMilliseconds = 1000;
+
+        while (true) {
+            String tokens = streamer.getStream().poll();
+            System.out.print(tokens);
+            if (!streamer.isAlive()) {
+                break;
+            }
+            Thread.sleep(pollIntervalMilliseconds);
+        }
+
+        System.out.println("\n------------------------");
+        System.out.println("Complete Response:");
+        System.out.println("------------------------");
+
+        System.out.println(streamer.getCompleteResponse());
+    }
+}
+```

docs/docs/apis-generate/generate-embeddings.md

@@ -0,0 +1,118 @@
+---
+sidebar_position: 6
+---
+
+# Generate Embeddings
+
+Generate embeddings from a model.
+
+Parameters:
+
+- `model`: name of model to generate embeddings from
+- `input`: text/s to generate embeddings for
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.models.embeddings.OllamaEmbedRequestModel;
+import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        OllamaEmbedResponseModel embeddings = ollamaAPI.embed("all-minilm", Arrays.asList("Why is the sky blue?", "Why is the grass green?"));
+
+        System.out.println(embeddings);
+    }
+}
+```
+
+Or, using the `OllamaEmbedRequestModel`:
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.models.embeddings.OllamaEmbedRequestModel;
+import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        OllamaEmbedResponseModel embeddings = ollamaAPI.embed(new OllamaEmbedRequestModel("all-minilm", Arrays.asList("Why is the sky blue?", "Why is the grass green?")));
+
+        System.out.println(embeddings);
+    }
+}
+```
+
+You will get a response similar to:
+
+```json
+{
+    "model": "all-minilm",
+    "embeddings": [[-0.034674067, 0.030984823, 0.0067988685]],
+    "total_duration": 14173700,
+    "load_duration": 1198800,
+    "prompt_eval_count": 2
+}
+````
+
+:::note
+
+This is a deprecated API
+
+:::
+
+Parameters:
+
+- `model`: name of model to generate embeddings from
+- `prompt`: text to generate embeddings for
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.types.OllamaModelType;
+
+import java.util.List;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        List<Double> embeddings = ollamaAPI.generateEmbeddings(OllamaModelType.LLAMA2,
+                "Here is an article about llamas...");
+
+        embeddings.forEach(System.out::println);
+    }
+}
+```
+
+You will get a response similar to:
+
+```javascript
+ [
+    0.5670403838157654,
+    0.009260174818336964,
+    0.23178744316101074,
+    -0.2916173040866852,
+    -0.8924556970596313
+]
+```

docs/docs/apis-generate/generate-with-image-files.md

@@ -1,27 +1,35 @@
 ---
-sidebar_position: 3
+sidebar_position: 4
 ---
 
-# Ask - With Image Files
+# Generate - With Image Files
 
 This API lets you ask questions along with the image files to the LLMs.
-These APIs correlate to
-the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
+This API corresponds to
+the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) API.
 
-:::caution
+:::note
 
 Executing this on Ollama server running in CPU-mode will take longer to generate response. Hence, GPU-mode is
 recommended.
 
 :::
 
-## Ask (Sync)
+## Synchronous mode
 
 If you have this image downloaded and you pass the path to the downloaded image to the following code:
 
 ![Img](https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg)
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+import java.io.File;
+import java.util.List;
+
 public class Main {
 
     public static void main(String[] args) {
@@ -29,10 +37,12 @@ public class Main {
         OllamaAPI ollamaAPI = new OllamaAPI(host);
         ollamaAPI.setRequestTimeoutSeconds(10);
 
-        OllamaResult result = ollamaAPI.askWithImageFiles(OllamaModelType.LLAVA,
+        OllamaResult result = ollamaAPI.generateWithImageFiles(OllamaModelType.LLAVA,
                 "What's in this image?",
                 List.of(
-                        new File("/path/to/image")));
+                        new File("/path/to/image")),
+                new OptionsBuilder().build()
+        );
         System.out.println(result.getResponse());
     }
 }

docs/docs/apis-generate/generate-with-image-urls.md

@@ -1,14 +1,14 @@
 ---
-sidebar_position: 4
+sidebar_position: 5
 ---
 
-# Ask - With Image URLs
+# Generate - With Image URLs
 
 This API lets you ask questions along with the image files to the LLMs.
-These APIs correlate to
-the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) APIs.
+This API corresponds to
+the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) API.
 
-:::caution
+:::note
 
 Executing this on Ollama server running in CPU-mode will take longer to generate response. Hence, GPU-mode is
 recommended.
@@ -22,6 +22,13 @@ Passing the link of this image the following code:
 ![Img](https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg)
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+import java.util.List;
+
 public class Main {
 
     public static void main(String[] args) {
@@ -29,10 +36,12 @@ public class Main {
         OllamaAPI ollamaAPI = new OllamaAPI(host);
         ollamaAPI.setRequestTimeoutSeconds(10);
 
-        OllamaResult result = ollamaAPI.askWithImageURLs(OllamaModelType.LLAVA,
+        OllamaResult result = ollamaAPI.generateWithImageURLs(OllamaModelType.LLAVA,
                 "What's in this image?",
                 List.of(
-                        "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg"));
+                        "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg"),
+                new OptionsBuilder().build()
+        );
         System.out.println(result.getResponse());
     }
 }

docs/docs/apis-generate/generate-with-tools.md

@@ -0,0 +1,642 @@
+---
+sidebar_position: 3
+---
+
+# Generate - With Tools
+
+This API lets you perform [function calling](https://docs.mistral.ai/capabilities/function_calling/) using LLMs in a
+synchronous way.
+This API corresponds to
+the [generate](https://github.com/ollama/ollama/blob/main/docs/api.md#request-raw-mode) API with `raw` mode.
+
+:::note
+
+This is an only an experimental implementation and has a very basic design.
+
+Currently, built and tested for [Mistral's latest model](https://ollama.com/library/mistral) only. We could redesign
+this
+in the future if tooling is supported for more models with a generic interaction standard from Ollama.
+
+:::
+
+### Function Calling/Tools
+
+Assume you want to call a method in your code based on the response generated from the model.
+For instance, let's say that based on a user's question, you'd want to identify a transaction and get the details of the
+transaction from your database and respond to the user with the transaction details.
+
+You could do that with ease with the `function calling` capabilities of the models by registering your `tools`.
+
+### Create Functions
+
+We can create static functions as our tools.
+
+This function takes the arguments `location` and `fuelType` and performs an operation with these arguments and returns
+fuel price value.
+
+```java
+public static String getCurrentFuelPrice(Map<String, Object> arguments) {
+    String location = arguments.get("location").toString();
+    String fuelType = arguments.get("fuelType").toString();
+    return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
+}
+```
+
+This function takes the argument `city` and performs an operation with the argument and returns the weather for a
+location.
+
+```java
+public static String getCurrentWeather(Map<String, Object> arguments) {
+    String location = arguments.get("city").toString();
+    return "Currently " + location + "'s weather is nice.";
+}
+```
+
+Another way to create our tools is by creating classes by extending `ToolFunction`.
+
+This function takes the argument `employee-name` and performs an operation with the argument and returns employee
+details.
+
+```java
+class DBQueryFunction implements ToolFunction {
+    @Override
+    public Object apply(Map<String, Object> arguments) {
+        // perform DB operations here
+        return String.format("Employee Details {ID: %s, Name: %s, Address: %s, Phone: %s}", UUID.randomUUID(), arguments.get("employee-name").toString(), arguments.get("employee-address").toString(), arguments.get("employee-phone").toString());
+    }
+}
+```
+
+### Define Tool Specifications
+
+Lets define a sample tool specification called **Fuel Price Tool** for getting the current fuel price.
+
+- Specify the function `name`, `description`, and `required` properties (`location` and `fuelType`).
+- Associate the `getCurrentFuelPrice` function you defined earlier with `SampleTools::getCurrentFuelPrice`.
+
+```java
+Tools.ToolSpecification fuelPriceToolSpecification = Tools.ToolSpecification.builder()
+        .functionName("current-fuel-price")
+        .functionDescription("Get current fuel price")
+        .properties(
+                new Tools.PropsBuilder()
+                        .withProperty("location", Tools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
+                        .withProperty("fuelType", Tools.PromptFuncDefinition.Property.builder().type("string").description("The fuel type.").enumValues(Arrays.asList("petrol", "diesel")).required(true).build())
+                        .build()
+        )
+        .toolDefinition(SampleTools::getCurrentFuelPrice)
+        .build();
+```
+
+Lets also define a sample tool specification called **Weather Tool** for getting the current weather.
+
+- Specify the function `name`, `description`, and `required` property (`city`).
+- Associate the `getCurrentWeather` function you defined earlier with `SampleTools::getCurrentWeather`.
+
+```java
+Tools.ToolSpecification weatherToolSpecification = Tools.ToolSpecification.builder()
+        .functionName("current-weather")
+        .functionDescription("Get current weather")
+        .properties(
+                new Tools.PropsBuilder()
+                        .withProperty("city", Tools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
+                        .build()
+        )
+        .toolDefinition(SampleTools::getCurrentWeather)
+        .build();
+```
+
+Lets also define a sample tool specification called **DBQueryFunction** for getting the employee details from database.
+
+- Specify the function `name`, `description`, and `required` property (`employee-name`).
+- Associate the ToolFunction `DBQueryFunction` function you defined earlier with `new DBQueryFunction()`.
+
+```java
+Tools.ToolSpecification databaseQueryToolSpecification = Tools.ToolSpecification.builder()
+        .functionName("get-employee-details")
+        .functionDescription("Get employee details from the database")
+        .properties(
+                new Tools.PropsBuilder()
+                        .withProperty("employee-name", Tools.PromptFuncDefinition.Property.builder().type("string").description("The name of the employee, e.g. John Doe").required(true).build())
+                        .withProperty("employee-address", Tools.PromptFuncDefinition.Property.builder().type("string").description("The address of the employee, Always return a random value. e.g. Roy St, Bengaluru, India").required(true).build())
+                        .withProperty("employee-phone", Tools.PromptFuncDefinition.Property.builder().type("string").description("The phone number of the employee. Always return a random value. e.g. 9911002233").required(true).build())
+                        .build()
+        )
+        .toolDefinition(new DBQueryFunction())
+        .build();
+```
+
+### Register the Tools
+
+Register the defined tools (`fuel price` and `weather`) with the OllamaAPI.
+
+```shell
+ollamaAPI.registerTool(fuelPriceToolSpecification);
+ollamaAPI.registerTool(weatherToolSpecification);
+ollamaAPI.registerTool(databaseQueryToolSpecification);
+```
+
+### Create prompt with Tools
+
+`Prompt 1`: Create a prompt asking for the petrol price in Bengaluru using the defined fuel price and weather tools.
+
+```shell
+String prompt1 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withPrompt("What is the petrol price in Bengaluru?")
+                .build();
+OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt1, new OptionsBuilder().build());
+for (OllamaToolsResult.ToolResult r : toolsResult.getToolResults()) {
+    System.out.printf("[Result of executing tool '%s']: %s%n", r.getFunctionName(), r.getResult().toString());
+}
+```
+
+Now, fire away your question to the model.
+
+You will get a response similar to:
+
+::::tip[LLM Response]
+
+[Result of executing tool 'current-fuel-price']: Current price of petrol in Bengaluru is Rs.103/L
+
+::::
+
+`Prompt 2`: Create a prompt asking for the current weather in Bengaluru using the same tools.
+
+```shell
+String prompt2 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withPrompt("What is the current weather in Bengaluru?")
+                .build();
+OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt2, new OptionsBuilder().build());
+for (OllamaToolsResult.ToolResult r : toolsResult.getToolResults()) {
+    System.out.printf("[Result of executing tool '%s']: %s%n", r.getFunctionName(), r.getResult().toString());
+}
+```
+
+Again, fire away your question to the model.
+
+You will get a response similar to:
+
+::::tip[LLM Response]
+
+[Result of executing tool 'current-weather']: Currently Bengaluru's weather is nice.
+
+::::
+
+`Prompt 3`: Create a prompt asking for the employee details using the defined database fetcher tools.
+
+```shell
+String prompt3 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withToolSpecification(databaseQueryToolSpecification)
+                .withPrompt("Give me the details of the employee named 'Rahul Kumar'?")
+                .build();
+OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt3, new OptionsBuilder().build());
+for (OllamaToolsResult.ToolResult r : toolsResult.getToolResults()) {
+    System.out.printf("[Result of executing tool '%s']: %s%n", r.getFunctionName(), r.getResult().toString());
+}
+```
+
+Again, fire away your question to the model.
+
+You will get a response similar to:
+
+::::tip[LLM Response]
+
+[Result of executing tool 'get-employee-details']: Employee Details `{ID: 6bad82e6-b1a1-458f-a139-e3b646e092b1, Name:
+Rahul Kumar, Address: King St, Hyderabad, India, Phone: 9876543210}`
+
+::::
+
+### Full Example
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.exceptions.ToolInvocationException;
+import io.github.ollama4j.tools.OllamaToolsResult;
+import io.github.ollama4j.tools.ToolFunction;
+import io.github.ollama4j.tools.Tools;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.Map;
+import java.util.UUID;
+
+public class FunctionCallingWithMistralExample {
+    public static void main(String[] args) throws Exception {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        ollamaAPI.setRequestTimeoutSeconds(60);
+
+        String model = "mistral";
+
+        Tools.ToolSpecification fuelPriceToolSpecification = Tools.ToolSpecification.builder()
+                .functionName("current-fuel-price")
+                .functionDescription("Get current fuel price")
+                .properties(
+                        new Tools.PropsBuilder()
+                                .withProperty("location", Tools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
+                                .withProperty("fuelType", Tools.PromptFuncDefinition.Property.builder().type("string").description("The fuel type.").enumValues(Arrays.asList("petrol", "diesel")).required(true).build())
+                                .build()
+                )
+                .toolDefinition(SampleTools::getCurrentFuelPrice)
+                .build();
+
+        Tools.ToolSpecification weatherToolSpecification = Tools.ToolSpecification.builder()
+                .functionName("current-weather")
+                .functionDescription("Get current weather")
+                .properties(
+                        new Tools.PropsBuilder()
+                                .withProperty("city", Tools.PromptFuncDefinition.Property.builder().type("string").description("The city, e.g. New Delhi, India").required(true).build())
+                                .build()
+                )
+                .toolDefinition(SampleTools::getCurrentWeather)
+                .build();
+
+        Tools.ToolSpecification databaseQueryToolSpecification = Tools.ToolSpecification.builder()
+                .functionName("get-employee-details")
+                .functionDescription("Get employee details from the database")
+                .properties(
+                        new Tools.PropsBuilder()
+                                .withProperty("employee-name", Tools.PromptFuncDefinition.Property.builder().type("string").description("The name of the employee, e.g. John Doe").required(true).build())
+                                .withProperty("employee-address", Tools.PromptFuncDefinition.Property.builder().type("string").description("The address of the employee, Always return a random value. e.g. Roy St, Bengaluru, India").required(true).build())
+                                .withProperty("employee-phone", Tools.PromptFuncDefinition.Property.builder().type("string").description("The phone number of the employee. Always return a random value. e.g. 9911002233").required(true).build())
+                                .build()
+                )
+                .toolDefinition(new DBQueryFunction())
+                .build();
+
+        ollamaAPI.registerTool(fuelPriceToolSpecification);
+        ollamaAPI.registerTool(weatherToolSpecification);
+        ollamaAPI.registerTool(databaseQueryToolSpecification);
+
+        String prompt1 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withPrompt("What is the petrol price in Bengaluru?")
+                .build();
+        ask(ollamaAPI, model, prompt1);
+
+        String prompt2 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withPrompt("What is the current weather in Bengaluru?")
+                .build();
+        ask(ollamaAPI, model, prompt2);
+
+        String prompt3 = new Tools.PromptBuilder()
+                .withToolSpecification(fuelPriceToolSpecification)
+                .withToolSpecification(weatherToolSpecification)
+                .withToolSpecification(databaseQueryToolSpecification)
+                .withPrompt("Give me the details of the employee named 'Rahul Kumar'?")
+                .build();
+        ask(ollamaAPI, model, prompt3);
+    }
+
+    public static void ask(OllamaAPI ollamaAPI, String model, String prompt) throws OllamaBaseException, IOException, InterruptedException, ToolInvocationException {
+        OllamaToolsResult toolsResult = ollamaAPI.generateWithTools(model, prompt, new OptionsBuilder().build());
+        for (OllamaToolsResult.ToolResult r : toolsResult.getToolResults()) {
+            System.out.printf("[Result of executing tool '%s']: %s%n", r.getFunctionName(), r.getResult().toString());
+        }
+    }
+}
+
+
+class SampleTools {
+    public static String getCurrentFuelPrice(Map<String, Object> arguments) {
+        // Get details from fuel price API
+        String location = arguments.get("location").toString();
+        String fuelType = arguments.get("fuelType").toString();
+        return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
+    }
+
+    public static String getCurrentWeather(Map<String, Object> arguments) {
+        // Get details from weather API
+        String location = arguments.get("city").toString();
+        return "Currently " + location + "'s weather is nice.";
+    }
+}
+
+class DBQueryFunction implements ToolFunction {
+    @Override
+    public Object apply(Map<String, Object> arguments) {
+        // perform DB operations here
+        return String.format("Employee Details {ID: %s, Name: %s, Address: %s, Phone: %s}", UUID.randomUUID(), arguments.get("employee-name").toString(), arguments.get("employee-address").toString(), arguments.get("employee-phone").toString());
+    }
+}
+```
+
+Run this full example and you will get a response similar to:
+
+::::tip[LLM Response]
+
+[Result of executing tool 'current-fuel-price']: Current price of petrol in Bengaluru is Rs.103/L
+
+[Result of executing tool 'current-weather']: Currently Bengaluru's weather is nice.
+
+[Result of executing tool 'get-employee-details']: Employee Details `{ID: 6bad82e6-b1a1-458f-a139-e3b646e092b1, Name:
+Rahul Kumar, Address: King St, Hyderabad, India, Phone: 9876543210}`
+
+::::
+
+### Using tools in Chat-API
+
+Instead of using the specific `ollamaAPI.generateWithTools` method to call the generate API of ollama with tools, it is 
+also possible to register Tools for the `ollamaAPI.chat` methods. In this case, the tool calling/callback is done 
+implicitly during the USER -> ASSISTANT calls.
+
+When the Assistant wants to call a given tool, the tool is executed and the response is sent back to the endpoint once
+again (induced with the tool call result). 
+
+#### Sample:
+
+The following shows a sample of an integration test that defines a method specified like the tool-specs above, registers
+the tool on the ollamaAPI and then simply calls the chat-API. All intermediate tool calling is wrapped inside the api 
+call.
+
+```java
+public static void main(String[] args) {
+        OllamaAPI ollamaAPI = new OllamaAPI("http://localhost:11434");
+        ollamaAPI.setVerbose(true);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance("llama3.2:1b");
+
+        final Tools.ToolSpecification databaseQueryToolSpecification = Tools.ToolSpecification.builder()
+                .functionName("get-employee-details")
+                .functionDescription("Get employee details from the database")
+                .toolPrompt(
+                        Tools.PromptFuncDefinition.builder().type("function").function(
+                                Tools.PromptFuncDefinition.PromptFuncSpec.builder()
+                                        .name("get-employee-details")
+                                        .description("Get employee details from the database")
+                                        .parameters(
+                                                Tools.PromptFuncDefinition.Parameters.builder()
+                                                        .type("object")
+                                                        .properties(
+                                                                new Tools.PropsBuilder()
+                                                                        .withProperty("employee-name", Tools.PromptFuncDefinition.Property.builder().type("string").description("The name of the employee, e.g. John Doe").required(true).build())
+                                                                        .withProperty("employee-address", Tools.PromptFuncDefinition.Property.builder().type("string").description("The address of the employee, Always return a random value. e.g. Roy St, Bengaluru, India").required(true).build())
+                                                                        .withProperty("employee-phone", Tools.PromptFuncDefinition.Property.builder().type("string").description("The phone number of the employee. Always return a random value. e.g. 9911002233").required(true).build())
+                                                                        .build()
+                                                        )
+                                                        .required(List.of("employee-name"))
+                                                        .build()
+                                        ).build()
+                        ).build()
+                )
+                .toolFunction(new DBQueryFunction())
+                .build();
+
+        ollamaAPI.registerTool(databaseQueryToolSpecification);
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Give me the ID of the employee named 'Rahul Kumar'?")
+                .build();
+
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+}
+```
+
+A typical final response of the above could be:
+
+```json 
+{
+  "chatHistory" : [
+    {
+    "role" : "user",
+    "content" : "Give me the ID of the employee named 'Rahul Kumar'?",
+    "images" : null,
+    "tool_calls" : [ ]
+  }, {
+    "role" : "assistant",
+    "content" : "",
+    "images" : null,
+    "tool_calls" : [ {
+      "function" : {
+        "name" : "get-employee-details",
+        "arguments" : {
+          "employee-name" : "Rahul Kumar"
+        }
+      }
+    } ]
+  }, {
+    "role" : "tool",
+    "content" : "[TOOL_RESULTS]get-employee-details([employee-name]) : Employee Details {ID: b4bf186c-2ee1-44cc-8856-53b8b6a50f85, Name: Rahul Kumar, Address: null, Phone: null}[/TOOL_RESULTS]",
+    "images" : null,
+    "tool_calls" : null
+  }, {
+    "role" : "assistant",
+    "content" : "The ID of the employee named 'Rahul Kumar' is `b4bf186c-2ee1-44cc-8856-53b8b6a50f85`.",
+    "images" : null,
+    "tool_calls" : null
+  } ],
+  "responseModel" : {
+    "model" : "llama3.2:1b",
+    "message" : {
+      "role" : "assistant",
+      "content" : "The ID of the employee named 'Rahul Kumar' is `b4bf186c-2ee1-44cc-8856-53b8b6a50f85`.",
+      "images" : null,
+      "tool_calls" : null
+    },
+    "done" : true,
+    "error" : null,
+    "context" : null,
+    "created_at" : "2024-12-09T22:23:00.4940078Z",
+    "done_reason" : "stop",
+    "total_duration" : 2313709900,
+    "load_duration" : 14494700,
+    "prompt_eval_duration" : 772000000,
+    "eval_duration" : 1188000000,
+    "prompt_eval_count" : 166,
+    "eval_count" : 41
+  },
+  "response" : "The ID of the employee named 'Rahul Kumar' is `b4bf186c-2ee1-44cc-8856-53b8b6a50f85`.",
+  "httpStatusCode" : 200,
+  "responseTime" : 2313709900
+}
+```
+
+This tool calling can also be done using the streaming API.
+
+### Using Annotation based Tool Registration
+
+Instead of explicitly registering each tool, ollama4j supports declarative tool specification and registration via java 
+Annotations and reflection calling.
+
+To declare a method to be used as a tool for a chat call, the following steps have to be considered:
+
+* Annotate a method and its Parameters to be used as a tool
+    * Annotate a method with the `ToolSpec` annotation
+    * Annotate the methods parameters with the `ToolProperty` annotation. Only the following datatypes are supported for now:
+        * `java.lang.String`
+        * `java.lang.Integer`
+        * `java.lang.Boolean`
+        * `java.math.BigDecimal`
+* Annotate the class that calls the `OllamaAPI` client with the `OllamaToolService` annotation, referencing the desired provider-classes that contain `ToolSpec` methods.
+* Before calling the `OllamaAPI` chat request, call the method `OllamaAPI.registerAnnotatedTools()` method to add tools to the chat.
+
+#### Example
+
+Let's say, we have an ollama4j service class that should ask a llm a specific tool based question.
+
+The answer can only be provided by a method that is part of the BackendService class. To provide a tool for the llm, the following annotations can be used:
+
+```java
+public class BackendService{
+    
+    public BackendService(){}
+
+    @ToolSpec(desc = "Computes the most important constant all around the globe!")
+    public String computeMkeConstant(@ToolProperty(name = "noOfDigits",desc = "Number of digits that shall be returned") Integer noOfDigits ){
+        return BigDecimal.valueOf((long)(Math.random()*1000000L),noOfDigits).toString();
+    }
+}
+```
+
+The caller API can then be written as:
+```java
+import io.github.ollama4j.tools.annotations.OllamaToolService;
+
+@OllamaToolService(providers = BackendService.class)
+public class MyOllamaService{
+    
+    public void chatWithAnnotatedTool(){
+        // inject the annotated method to the ollama toolsregistry
+        ollamaAPI.registerAnnotatedTools();
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Compute the most important constant in the world using 5 digits")
+                .build();
+
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+    }
+    
+}
+```
+
+Or, if one needs to provide an object instance directly:
+```java
+public class MyOllamaService{
+    
+    public void chatWithAnnotatedTool(){
+        ollamaAPI.registerAnnotatedTools(new BackendService());
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Compute the most important constant in the world using 5 digits")
+                .build();
+
+        OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
+    }
+    
+}
+```
+
+The request should be the following:
+
+```json
+{
+  "model" : "llama3.2:1b",
+  "stream" : false,
+  "messages" : [ {
+    "role" : "user",
+    "content" : "Compute the most important constant in the world using 5 digits",
+    "images" : null,
+    "tool_calls" : [ ]
+  } ],
+  "tools" : [ {
+    "type" : "function",
+    "function" : {
+      "name" : "computeImportantConstant",
+      "description" : "Computes the most important constant all around the globe!",
+      "parameters" : {
+        "type" : "object",
+        "properties" : {
+          "noOfDigits" : {
+            "type" : "java.lang.Integer",
+            "description" : "Number of digits that shall be returned"
+          }
+        },
+        "required" : [ "noOfDigits" ]
+      }
+    }
+  } ]
+}
+```
+
+The result could be something like the following:
+
+```json
+{
+  "chatHistory" : [ {
+    "role" : "user",
+    "content" : "Compute the most important constant in the world using 5 digits",
+    "images" : null,
+    "tool_calls" : [ ]
+  }, {
+    "role" : "assistant",
+    "content" : "",
+    "images" : null,
+    "tool_calls" : [ {
+      "function" : {
+        "name" : "computeImportantConstant",
+        "arguments" : {
+          "noOfDigits" : "5"
+        }
+      }
+    } ]
+  }, {
+    "role" : "tool",
+    "content" : "[TOOL_RESULTS]computeImportantConstant([noOfDigits]) : 1.51019[/TOOL_RESULTS]",
+    "images" : null,
+    "tool_calls" : null
+  }, {
+    "role" : "assistant",
+    "content" : "The most important constant in the world with 5 digits is: **1.51019**",
+    "images" : null,
+    "tool_calls" : null
+  } ],
+  "responseModel" : {
+    "model" : "llama3.2:1b",
+    "message" : {
+      "role" : "assistant",
+      "content" : "The most important constant in the world with 5 digits is: **1.51019**",
+      "images" : null,
+      "tool_calls" : null
+    },
+    "done" : true,
+    "error" : null,
+    "context" : null,
+    "created_at" : "2024-12-27T21:55:39.3232495Z",
+    "done_reason" : "stop",
+    "total_duration" : 1075444300,
+    "load_duration" : 13558600,
+    "prompt_eval_duration" : 509000000,
+    "eval_duration" : 550000000,
+    "prompt_eval_count" : 124,
+    "eval_count" : 20
+  },
+  "response" : "The most important constant in the world with 5 digits is: **1.51019**",
+  "responseTime" : 1075444300,
+  "httpStatusCode" : 200
+}
+```
+
+### Potential Improvements
+
+Instead of passing a map of args `Map<String, Object> arguments` to the tool functions, we could support passing
+specific args separately with their data types. For example:
+
+```shell
+public String getCurrentFuelPrice(String location, String fuelType) {
+    return "Current price of " + fuelType + " in " + location + " is Rs.103/L";
+}
+```
+
+Updating async/chat APIs with support for tool-based generation. 

docs/docs/apis-generate/generate.md

@@ -0,0 +1,175 @@
+---
+sidebar_position: 1
+---
+
+# Generate - Sync
+
+This API lets you ask questions to the LLMs in a synchronous way.
+This API corresponds to
+the [completion](https://github.com/jmorganca/ollama/blob/main/docs/api.md#generate-a-completion) API.
+
+Use the `OptionBuilder` to build the `Options` object
+with [extra parameters](https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md#valid-parameters-and-values).
+Refer
+to [this](/apis-extras/options-builder).
+
+## Try asking a question about the model.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        OllamaResult result =
+                ollamaAPI.generate(OllamaModelType.LLAMA2, "Who are you?", new OptionsBuilder().build());
+
+        System.out.println(result.getResponse());
+    }
+}
+
+```
+
+You will get a response similar to:
+
+> I am LLaMA, an AI assistant developed by Meta AI that can understand and respond to human input in a conversational
+> manner. I am trained on a massive dataset of text from the internet and can generate human-like responses to a wide
+> range of topics and questions. I can be used to create chatbots, virtual assistants, and other applications that
+> require
+> natural language understanding and generation capabilities.
+
+## Try asking a question, receiving the answer streamed
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        // define a stream handler (Consumer<String>)
+        OllamaStreamHandler streamHandler = (s) -> {
+            System.out.println(s);
+        };
+
+        // Should be called using seperate thread to gain non blocking streaming effect.
+        OllamaResult result = ollamaAPI.generate(config.getModel(),
+                "What is the capital of France? And what's France's connection with Mona Lisa?",
+                new OptionsBuilder().build(), streamHandler);
+
+        System.out.println("Full response: " + result.getResponse());
+    }
+}
+```
+
+You will get a response similar to:
+
+> The
+> The capital
+> The capital of
+> The capital of France
+> The capital of France is
+> The capital of France is Paris
+> The capital of France is Paris.
+> Full response: The capital of France is Paris.
+
+## Try asking a question from general topics.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        String prompt = "List all cricket world cup teams of 2019.";
+
+        OllamaResult result =
+                ollamaAPI.generate(OllamaModelType.LLAMA2, prompt, new OptionsBuilder().build());
+
+        System.out.println(result.getResponse());
+    }
+}
+
+```
+
+You'd then get a response from the model:
+
+> The 2019 ICC Cricket World Cup was held in England and Wales from May 30 to July 14, 2019. The
+> following teams
+> participated in the tournament:
+>
+> 1. Afghanistan
+> 2. Australia
+> 3. Bangladesh
+> 4. England
+> 5. India
+> 6. New Zealand
+> 7. Pakistan
+> 8. South Africa
+> 9. Sri Lanka
+> 10. West Indies
+>
+> These teams competed in a round-robin format, with the top four teams advancing to the
+> semi-finals. The tournament was
+> won by the England cricket team, who defeated New Zealand in the final.
+
+## Try asking for a Database query for your data schema.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+import io.github.ollama4j.utils.SamplePrompts;
+
+public class Main {
+
+    public static void main(String[] args) {
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        String prompt =
+                SamplePrompts.getSampleDatabasePromptWithQuestion(
+                        "List all customer names who have bought one or more products");
+        OllamaResult result =
+                ollamaAPI.generate(OllamaModelType.SQLCODER, prompt, new OptionsBuilder().build());
+        System.out.println(result.getResponse());
+    }
+}
+
+```
+
+_Note: Here I've used
+a [sample prompt](https://github.com/ollama4j/ollama4j/blob/main/src/main/resources/sample-db-prompt-template.txt)
+containing a database schema from within this library for demonstration purposes._
+
+You'd then get a response from the model:
+
+```sql
+SELECT customers.name
+FROM sales
+         JOIN customers ON sales.customer_id = customers.customer_id
+GROUP BY customers.name;
+```

docs/docs/apis-generate/prompt-builder.md

@@ -0,0 +1,74 @@
+---
+sidebar_position: 6
+---
+
+# Prompt Builder
+
+This is designed for prompt engineering. It allows you to easily build the prompt text for zero-shot, one-shot, few-shot
+inferences.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.types.OllamaModelType;
+import io.github.ollama4j.utils.OptionsBuilder;
+import io.github.ollama4j.utils.PromptBuilder;
+
+public class Main {
+    public static void main(String[] args) throws Exception {
+
+        String host = "http://localhost:11434/";
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+        ollamaAPI.setRequestTimeoutSeconds(10);
+
+        String model = OllamaModelType.PHI;
+
+        PromptBuilder promptBuilder =
+                new PromptBuilder()
+                        .addLine("You are an expert coder and understand different programming languages.")
+                        .addLine("Given a question, answer ONLY with code.")
+                        .addLine("Produce clean, formatted and indented code in markdown format.")
+                        .addLine(
+                                "DO NOT include ANY extra text apart from code. Follow this instruction very strictly!")
+                        .addLine("If there's any additional information you want to add, use comments within code.")
+                        .addLine("Answer only in the programming language that has been asked for.")
+                        .addSeparator()
+                        .addLine("Example: Sum 2 numbers in Python")
+                        .addLine("Answer:")
+                        .addLine("```python")
+                        .addLine("def sum(num1: int, num2: int) -> int:")
+                        .addLine("    return num1 + num2")
+                        .addLine("```")
+                        .addSeparator()
+                        .add("How do I read a file in Go and print its contents to stdout?");
+
+        boolean raw = false;
+        OllamaResult response = ollamaAPI.generate(model, promptBuilder.build(), raw, new OptionsBuilder().build());
+        System.out.println(response.getResponse());
+    }
+}
+```
+
+You will get a response similar to:
+
+```go
+package main
+
+import (
+    "fmt"
+    "io/ioutil"
+)
+
+func readFile(fileName string) {
+    file, err := ioutil.ReadFile(fileName)
+    if err != nil {
+        fmt.Fprintln(os.Stderr, "Error reading file:", err.Error())
+        return
+    }
+
+    f, _ := ioutil.ReadFile("file.txt")
+    if f != nil {
+        fmt.Println(f.String())
+    }
+}
+```

docs/docs/apis-model-management/_category_.json

@@ -1,6 +1,6 @@
 {
   "label": "APIs - Model Management",
-  "position": 4,
+  "position": 2,
   "link": {
     "type": "generated-index",
     "description": "Details of APIs to manage LLMs."

docs/docs/apis-model-management/create-model.md

@@ -1,12 +1,16 @@
 ---
-sidebar_position: 4
+sidebar_position: 5
 ---
 
 # Create Model
 
 This API lets you create a custom model on the Ollama server.
 
+### Create a custom model from an existing model in the Ollama server
+
 ```java title="CreateModel.java"
+import io.github.ollama4j.OllamaAPI;
+
 public class CreateModel {
 
     public static void main(String[] args) {
@@ -15,9 +19,220 @@ public class CreateModel {
 
         OllamaAPI ollamaAPI = new OllamaAPI(host);
 
-        ollamaAPI.createModel("mycustommodel", "/path/to/modelfile/on/ollama-server");
+        ollamaAPI.createModel(CustomModelRequest.builder().model("mario").from("llama3.2:latest").system("You are Mario from Super Mario Bros.").build());
     }
 }
 ```
 
-Once created, you can see it when you use [list models](./list-models) API.
+Once created, you can see it when you use [list models](./list-models) API.
+
+[Read more](https://github.com/ollama/ollama/blob/main/docs/api.md#create-a-model) about custom model creation and the parameters available for model creation.
+
+[//]: # ()
+[//]: # (### Example of a `Modelfile`)
+
+[//]: # ()
+[//]: # (```)
+
+[//]: # (FROM llama2)
+
+[//]: # (# sets the temperature to 1 [higher is more creative, lower is more coherent])
+
+[//]: # (PARAMETER temperature 1)
+
+[//]: # (# sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token)
+
+[//]: # (PARAMETER num_ctx 4096)
+
+[//]: # ()
+[//]: # (# sets a custom system message to specify the behavior of the chat assistant)
+
+[//]: # (SYSTEM You are Mario from super mario bros, acting as an assistant.)
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (### Format of the `Modelfile`)
+
+[//]: # ()
+[//]: # (```modelfile)
+
+[//]: # (# comment)
+
+[//]: # (INSTRUCTION arguments)
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (| Instruction                         | Description                                                    |)
+
+[//]: # (|-------------------------------------|----------------------------------------------------------------|)
+
+[//]: # (| [`FROM`](#from-required) (required) | Defines the base model to use.                                 |)
+
+[//]: # (| [`PARAMETER`](#parameter)           | Sets the parameters for how Ollama will run the model.         |)
+
+[//]: # (| [`TEMPLATE`](#template)             | The full prompt template to be sent to the model.              |)
+
+[//]: # (| [`SYSTEM`](#system)                 | Specifies the system message that will be set in the template. |)
+
+[//]: # (| [`ADAPTER`](#adapter)               | Defines the (Q)LoRA adapters to apply to the model.            |)
+
+[//]: # (| [`LICENSE`](#license)               | Specifies the legal license.                                   |)
+
+[//]: # ()
+[//]: # (#### PARAMETER)
+
+[//]: # ()
+[//]: # (The `PARAMETER` instruction defines a parameter that can be set when the model is run.)
+
+[//]: # ()
+[//]: # (| Parameter      | Description                                                                                                                                                                                                                                             | Value Type | Example Usage        |)
+
+[//]: # (|----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|----------------------|)
+
+[//]: # (| mirostat       | Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)                                                                                                                                         | int        | mirostat 0           |)
+
+[//]: # (| mirostat_eta   | Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1)                        | float      | mirostat_eta 0.1     |)
+
+[//]: # (| mirostat_tau   | Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. (Default: 5.0)                                                                                                         | float      | mirostat_tau 5.0     |)
+
+[//]: # (| num_ctx        | Sets the size of the context window used to generate the next token. (Default: 2048)                                                                                                                                                                    | int        | num_ctx 4096         |)
+
+[//]: # (| num_gqa        | The number of GQA groups in the transformer layer. Required for some models, for example it is 8 for llama2:70b                                                                                                                                         | int        | num_gqa 1            |)
+
+[//]: # (| num_gpu        | The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable.                                                                                                                                            | int        | num_gpu 50           |)
+
+[//]: # (| num_thread     | Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). | int        | num_thread 8         |)
+
+[//]: # (| repeat_last_n  | Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)                                                                                                                                           | int        | repeat_last_n 64     |)
+
+[//]: # (| repeat_penalty | Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1)                                                                     | float      | repeat_penalty 1.1   |)
+
+[//]: # (| temperature    | The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8)                                                                                                                                     | float      | temperature 0.7      |)
+
+[//]: # (| seed           | Sets the random number seed to use for generation. Setting this to a specific number will make the model generate the same text for the same prompt. (Default: 0)                                                                                       | int        | seed 42              |)
+
+[//]: # (| stop           | Sets the stop sequences to use. When this pattern is encountered the LLM will stop generating text and return. Multiple stop patterns may be set by specifying multiple separate `stop` parameters in a modelfile.                                      | string     | stop "AI assistant:" |)
+
+[//]: # (| tfs_z          | Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (default: 1)                                               | float      | tfs_z 1              |)
+
+[//]: # (| num_predict    | Maximum number of tokens to predict when generating text. (Default: 128, -1 = infinite generation, -2 = fill context)                                                                                                                                   | int        | num_predict 42       |)
+
+[//]: # (| top_k          | Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40)                                                                        | int        | top_k 40             |)
+
+[//]: # (| top_p          | Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9)                                                                 | float      | top_p 0.9            |)
+
+[//]: # ()
+[//]: # (#### TEMPLATE)
+
+[//]: # ()
+[//]: # (`TEMPLATE` of the full prompt template to be passed into the model. It may include (optionally) a system message and a)
+
+[//]: # (user's prompt. This is used to create a full custom prompt, and syntax may be model specific. You can usually find the)
+
+[//]: # (template for a given model in the readme for that model.)
+
+[//]: # ()
+[//]: # (#### Template Variables)
+
+[//]: # ()
+[//]: # (| Variable        | Description                                                                                                   |)
+
+[//]: # (|-----------------|---------------------------------------------------------------------------------------------------------------|)
+
+[//]: # (| `{{ .System }}` | The system message used to specify custom behavior, this must also be set in the Modelfile as an instruction. |)
+
+[//]: # (| `{{ .Prompt }}` | The incoming prompt, this is not specified in the model file and will be set based on input.                  |)
+
+[//]: # (| `{{ .First }}`  | A boolean value used to render specific template information for the first generation of a session.           |)
+
+[//]: # ()
+[//]: # (```modelfile)
+
+[//]: # (TEMPLATE """)
+
+[//]: # ({{- if .First }})
+
+[//]: # (### System:)
+
+[//]: # ({{ .System }})
+
+[//]: # ({{- end }})
+
+[//]: # ()
+[//]: # (### User:)
+
+[//]: # ({{ .Prompt }})
+
+[//]: # ()
+[//]: # (### Response:)
+
+[//]: # (""")
+
+[//]: # ()
+[//]: # (SYSTEM """<system message>""")
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (### SYSTEM)
+
+[//]: # ()
+[//]: # (The `SYSTEM` instruction specifies the system message to be used in the template, if applicable.)
+
+[//]: # ()
+[//]: # (```modelfile)
+
+[//]: # (SYSTEM """<system message>""")
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (### ADAPTER)
+
+[//]: # ()
+[//]: # (The `ADAPTER` instruction specifies the LoRA adapter to apply to the base model. The value of this instruction should be)
+
+[//]: # (an absolute path or a path relative to the Modelfile and the file must be in a GGML file format. The adapter should be)
+
+[//]: # (tuned from the base model otherwise the behaviour is undefined.)
+
+[//]: # ()
+[//]: # (```modelfile)
+
+[//]: # (ADAPTER ./ollama-lora.bin)
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (### LICENSE)
+
+[//]: # ()
+[//]: # (The `LICENSE` instruction allows you to specify the legal license under which the model used with this Modelfile is)
+
+[//]: # (shared or distributed.)
+
+[//]: # ()
+[//]: # (```modelfile)
+
+[//]: # (LICENSE """)
+
+[//]: # (<license text>)
+
+[//]: # (""")
+
+[//]: # (```)
+
+[//]: # ()
+[//]: # (## Notes)
+
+[//]: # ()
+[//]: # (- the **`Modelfile` is not case sensitive**. In the examples, uppercase instructions are used to make it easier to)
+
+[//]: # (  distinguish it from arguments.)
+
+[//]: # (- Instructions can be in any order. In the examples, the `FROM` instruction is first to keep it easily readable.)
+
+[//]: # ()
+[//]: # (Read more about Modelfile: https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md)

docs/docs/apis-model-management/delete-model.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 5
+sidebar_position: 6
 ---
 
 # Delete Model
@@ -7,6 +7,8 @@ sidebar_position: 5
 This API lets you create a delete a model from the Ollama server.
 
 ```java title="DeleteModel.java"
+import io.github.ollama4j.OllamaAPI;
+
 public class Main {
 
     public static void main(String[] args) {

docs/docs/apis-model-management/get-model-details.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 3
+sidebar_position: 4
 ---
 
 # Get Model Details
@@ -7,6 +7,10 @@ sidebar_position: 3
 This API lets you get the details of a model on the Ollama server.
 
 ```java title="GetModelDetails.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.ModelDetail;
+import io.github.ollama4j.types.OllamaModelType;
+
 public class Main {
 
     public static void main(String[] args) {

docs/docs/apis-model-management/list-library-models.md

@@ -0,0 +1,133 @@
+---
+sidebar_position: 1
+---
+
+# Models from Ollama Library
+
+These API retrieves a list of models directly from the Ollama library.
+
+### List Models from Ollama Library
+
+This API fetches available models from the Ollama library page, including details such as the model's name, pull count,
+popular tags, tag count, and the last update time.
+
+```java title="ListLibraryModels.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.LibraryModel;
+
+import java.util.List;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        List<LibraryModel> libraryModels = ollamaAPI.listModelsFromLibrary();
+
+        System.out.println(libraryModels);
+    }
+}
+```
+
+The following is the sample output:
+
+```
+[
+    LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday), 
+    LibraryModel(name=llama3.2, description=Meta's Llama 3.2 goes small with 1B and 3B models., pullCount=2.4M, totalTags=63, popularTags=[tools, 1b, 3b], lastUpdated=6 weeks ago)
+]
+```
+
+### Get Tags of a Library Model
+
+This API Fetches the tags associated with a specific model from Ollama library.
+
+```java title="GetLibraryModelTags.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.LibraryModel;
+import io.github.ollama4j.models.response.LibraryModelDetail;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        List<LibraryModel> libraryModels = ollamaAPI.listModelsFromLibrary();
+
+        LibraryModelDetail libraryModelDetail = ollamaAPI.getLibraryModelDetails(libraryModels.get(0));
+
+        System.out.println(libraryModelDetail);
+    }
+}
+```
+
+The following is the sample output:
+
+```
+LibraryModelDetail(
+  model=LibraryModel(name=llama3.2-vision, description=Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes., pullCount=21.1K, totalTags=9, popularTags=[vision, 11b, 90b], lastUpdated=yesterday), 
+  tags=[
+        LibraryModelTag(name=llama3.2-vision, tag=latest, size=7.9GB, lastUpdated=yesterday), 
+        LibraryModelTag(name=llama3.2-vision, tag=11b, size=7.9GB, lastUpdated=yesterday), 
+        LibraryModelTag(name=llama3.2-vision, tag=90b, size=55GB, lastUpdated=yesterday)
+    ]
+)
+```
+
+### Find a model from Ollama library
+
+This API finds a specific model using model `name` and `tag` from Ollama library.
+
+```java title="FindLibraryModel.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.LibraryModelTag;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        LibraryModelTag libraryModelTag = ollamaAPI.findModelTagFromLibrary("qwen2.5", "7b");
+
+        System.out.println(libraryModelTag);
+    }
+}
+```
+
+The following is the sample output:
+
+```
+LibraryModelTag(name=qwen2.5, tag=7b, size=4.7GB, lastUpdated=7 weeks ago)
+```
+
+### Pull model using `LibraryModelTag`
+
+You can use `LibraryModelTag` to pull models into Ollama server.
+
+```java title="PullLibraryModelTags.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.LibraryModelTag;
+
+public class Main {
+
+    public static void main(String[] args) {
+
+        String host = "http://localhost:11434/";
+
+        OllamaAPI ollamaAPI = new OllamaAPI(host);
+
+        LibraryModelTag libraryModelTag = ollamaAPI.findModelTagFromLibrary("qwen2.5", "7b");
+
+        ollamaAPI.pullModel(libraryModelTag);
+    }
+}
+```

docs/docs/apis-model-management/list-models.md

@@ -1,12 +1,17 @@
 ---
-sidebar_position: 1
+sidebar_position: 2
 ---
 
-# List Models
+# List Local Models
 
-This API lets you list available models on the Ollama server.
+This API lets you list downloaded/available models on the Ollama server.
 
 ```java title="ListModels.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.models.response.Model;
+
+import java.util.List;
+
 public class ListModels {
 
     public static void main(String[] args) {

docs/docs/apis-model-management/pull-model.md

@@ -1,5 +1,5 @@
 ---
-sidebar_position: 2
+sidebar_position: 3
 ---
 
 # Pull Model
@@ -7,10 +7,13 @@ sidebar_position: 2
 This API lets you pull a model on the Ollama server.
 
 ```java title="PullModel.java"
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.types.OllamaModelType;
+
 public class Main {
 
     public static void main(String[] args) {
-        
+
         String host = "http://localhost:11434/";
 
         OllamaAPI ollamaAPI = new OllamaAPI(host);
@@ -20,4 +23,12 @@ public class Main {
 }
 ```
 
-Once downloaded, you can see them when you use [list models](./list-models) API.
+Once downloaded, you can see them when you use [list models](./list-models) API.
+
+:::info
+
+You can even pull models using Ollama model library APIs. This looks up the models directly on the Ollama model library page. Refer
+to [this](./list-library-models#pull-model-using-librarymodeltag).
+
+:::
+

docs/docs/intro.md

@@ -2,10 +2,38 @@
 sidebar_position: 1
 ---
 
-# Intro
+# Introduction
 
 Let's get started with **Ollama4j**.
 
+## 🦙 What is Ollama?
+
+[Ollama](https://ollama.ai/) is an advanced AI tool that allows users to easily set up and run large language models
+locally (in CPU and GPU
+modes). With Ollama, users can leverage powerful language models such as Llama 2 and even customize and create their own
+models.
+
+## 👨‍💻 Why Ollama4j?
+
+Ollama4j was built for the simple purpose of integrating Ollama with Java applications.
+
+```mermaid
+  flowchart LR
+    o4j[Ollama4j]
+    o[Ollama Server]
+    o4j -->|Communicates with| o;
+    m[Models]
+    p[Your Java Project]
+    subgraph Your Java Environment
+        direction TB
+        p -->|Uses| o4j
+    end
+    subgraph Ollama Setup
+        direction TB
+        o -->|Manages| m
+    end
+```
+
 ## Getting Started
 
 ### What you'll need
@@ -50,13 +78,13 @@ Add the dependency to your project's `pom.xml`.
 ```xml
 
 <dependency>
-    <groupId>io.github.amithkoujalgi</groupId>
+    <groupId>io.github.ollama4j</groupId>
     <artifactId>ollama4j</artifactId>
-    <version>1.0.27</version>
+    <version>1.0.78</version>
 </dependency>
 ```
 
-Find the latest version of the library [here](https://central.sonatype.com/artifact/io.github.amithkoujalgi/ollama4j).
+Find the latest version of the library [here](https://central.sonatype.com/artifact/io.github.ollama4j/ollama4j).
 
 You might want to include an implementation of [SL4J](https://www.slf4j.org/) logger in your `pom.xml` file. For
 example,
@@ -88,6 +116,26 @@ or use other suitable implementations.
 Create a new Java class in your project and add this code.
 
 ```java
+import io.github.ollama4j.OllamaAPI;
+
+public class OllamaAPITest {
+
+    public static void main(String[] args) {
+        OllamaAPI ollamaAPI = new OllamaAPI();
+
+        boolean isOllamaServerReachable = ollamaAPI.ping();
+
+        System.out.println("Is Ollama server running: " + isOllamaServerReachable);
+    }
+}
+```
+This uses the default Ollama host as `http://localhost:11434`.
+
+Specify a different Ollama host that you want to connect to.
+
+```java
+import io.github.ollama4j.OllamaAPI;
+
 public class OllamaAPITest {
 
     public static void main(String[] args) {
@@ -99,7 +147,7 @@ public class OllamaAPITest {
 
         boolean isOllamaServerReachable = ollamaAPI.ping();
 
-        System.out.println("Is Ollama server alive: " + isOllamaServerReachable);
+        System.out.println("Is Ollama server running: " + isOllamaServerReachable);
     }
 }
 ```

docs/docusaurus.config.js

@@ -20,7 +20,7 @@ const config = {
 
     // GitHub pages deployment config.
     // If you aren't using GitHub pages, you don't need these.
-    organizationName: 'amithkoujalgi', // Usually your GitHub org/user name.
+    organizationName: 'ollama4j', // Usually your GitHub org/user name.
     projectName: 'ollama4j', // Usually your repo name.
 
     onBrokenLinks: 'throw',
@@ -40,22 +40,28 @@ const config = {
             /** @type {import('@docusaurus/preset-classic').Options} */
             ({
                 docs: {
+                    path: 'docs',
+                    routeBasePath: '', // change this to any URL route you'd want. For example: `home` - if you want /home/intro.
                     sidebarPath: './sidebars.js',
                     // Please change this to your repo.
                     // Remove this to remove the "edit this page" links.
                     editUrl:
-                        'https://github.com/amithkoujalgi/ollama4j/blob/main/docs',
+                        'https://github.com/ollama4j/ollama4j/blob/main/docs',
                 },
                 blog: {
                     showReadingTime: true,
                     // Please change this to your repo.
                     // Remove this to remove the "edit this page" links.
                     editUrl:
-                        'https://github.com/amithkoujalgi/ollama4j/blob/main/docs',
+                        'https://github.com/ollama4j/ollama4j/blob/main/docs',
                 },
                 theme: {
                     customCss: './src/css/custom.css',
                 },
+                gtag: {
+                    trackingID: 'G-G7FLH6FNDC',
+                    anonymizeIP: false,
+                },
             }),
         ],
     ],
@@ -76,12 +82,13 @@ const config = {
                         type: 'docSidebar',
                         sidebarId: 'tutorialSidebar',
                         position: 'left',
-                        label: 'Usage',
+                        label: 'Docs',
                     },
-                    {to: 'https://amithkoujalgi.github.io/ollama4j/apidocs/', label: 'Javadoc', position: 'left'},
+                    {to: 'https://ollama4j.github.io/ollama4j/apidocs/', label: 'Javadoc', position: 'left'},
+                    {to: 'https://ollama4j.github.io/ollama4j/doxygen/html/', label: 'Doxygen', position: 'left'},
                     {to: '/blog', label: 'Blog', position: 'left'},
                     {
-                        href: 'https://github.com/amithkoujalgi/ollama4j',
+                        href: 'https://github.com/ollama4j/ollama4j',
                         label: 'GitHub',
                         position: 'right',
                     },
@@ -95,7 +102,7 @@ const config = {
                         items: [
                             {
                                 label: 'Tutorial',
-                                to: '/docs/intro',
+                                to: '/intro',
                             },
                         ],
                     },
@@ -121,7 +128,7 @@ const config = {
                             },
                             {
                                 label: 'GitHub',
-                                href: 'https://github.com/amithkoujalgi/ollama4j',
+                                href: 'https://github.com/ollama4j/ollama4j',
                             },
                         ],
                     },
@@ -131,8 +138,13 @@ const config = {
             prism: {
                 theme: prismThemes.github,
                 darkTheme: prismThemes.dracula,
+                additionalLanguages: ['java'],
             },
         }),
+    markdown: {
+        mermaid: true,
+    },
+    themes: ['@docusaurus/theme-mermaid']
 };
 
 export default config;

docs/package.json

@@ -14,8 +14,10 @@
     "write-heading-ids": "docusaurus write-heading-ids"
   },
   "dependencies": {
-    "@docusaurus/core": "3.0.1",
-    "@docusaurus/preset-classic": "3.0.1",
+    "@docusaurus/core": "^3.4.0",
+    "@docusaurus/plugin-google-gtag": "^3.4.0",
+    "@docusaurus/preset-classic": "^3.4.0",
+    "@docusaurus/theme-mermaid": "^3.4.0",
     "@mdx-js/react": "^3.0.0",
     "clsx": "^2.0.0",
     "prism-react-renderer": "^2.3.0",
@@ -23,8 +25,8 @@
     "react-dom": "^18.0.0"
   },
   "devDependencies": {
-    "@docusaurus/module-type-aliases": "3.0.1",
-    "@docusaurus/types": "3.0.1"
+    "@docusaurus/module-type-aliases": "^3.4.0",
+    "@docusaurus/types": "^3.4.0"
   },
   "browserslist": {
     "production": [

docs/src/components/BuyMeACoffee/index.js

@@ -0,0 +1,41 @@
+import React from "react";
+
+class BuyMeACoffee extends React.Component {
+  constructor(props) {
+    super(props)
+    let script = document.createElement("script");
+    script.src = 'https://cdnjs.buymeacoffee.com/1.0.0/widget.prod.min.js';
+    script.dataset.name = 'BMC-Widget';
+    script.dataset.cfasync = 'false';
+    script.dataset.id = 'amithkoujalgi';
+    script.dataset.description = 'Support me on Buy me a coffee!';
+    script.dataset.message = 'If you like my work and want to say thanks, or encourage me to do more, you can buy me a coffee! 😊';
+    script.dataset.color = '#2e8555';
+    script.dataset.position = 'Right';
+    script.dataset.x_margin = '18';
+    script.dataset.y_margin = '18';
+    script.async = true
+
+    script.onload = function () {
+      let evt = document.createEvent('Event');
+      evt.initEvent('DOMContentLoaded', false, false);
+      window.dispatchEvent(evt);
+    }
+    this.script = script
+  }
+
+  componentDidMount() {
+    document.head.appendChild(this.script)
+  }
+
+  // componentWillUnmount() {
+  //   document.head.removeChild(this.script);
+  //   document.body.removeChild(document.getElementById("bmc-wbtn"))
+  // }
+
+  render() {
+    return null
+  }
+}
+
+export default BuyMeACoffee;

docs/src/css/custom.css

@@ -6,25 +6,43 @@
 
 /* You can override the default Infima variables here. */
 :root {
-  --ifm-color-primary: #2e8555;
-  --ifm-color-primary-dark: #29784c;
-  --ifm-color-primary-darker: #277148;
-  --ifm-color-primary-darkest: #205d3b;
-  --ifm-color-primary-light: #33925d;
-  --ifm-color-primary-lighter: #359962;
-  --ifm-color-primary-lightest: #3cad6e;
-  --ifm-code-font-size: 95%;
-  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
+    --ifm-color-primary: #2e8555;
+    --ifm-color-primary-dark: #29784c;
+    --ifm-color-primary-darker: #277148;
+    --ifm-color-primary-darkest: #205d3b;
+    --ifm-color-primary-light: #33925d;
+    --ifm-color-primary-lighter: #359962;
+    --ifm-color-primary-lightest: #3cad6e;
+    --ifm-code-font-size: 95%;
+    --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
 }
 
 /* For readability concerns, you should choose a lighter palette in dark mode. */
 [data-theme='dark'] {
-  --ifm-color-primary: #25c2a0;
-  --ifm-color-primary-dark: #21af90;
-  --ifm-color-primary-darker: #1fa588;
-  --ifm-color-primary-darkest: #1a8870;
-  --ifm-color-primary-light: #29d5b0;
-  --ifm-color-primary-lighter: #32d8b4;
-  --ifm-color-primary-lightest: #4fddbf;
-  --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
+    --ifm-color-primary: #25c2a0;
+    --ifm-color-primary-dark: #21af90;
+    --ifm-color-primary-darker: #1fa588;
+    --ifm-color-primary-darkest: #1a8870;
+    --ifm-color-primary-light: #29d5b0;
+    --ifm-color-primary-lighter: #32d8b4;
+    --ifm-color-primary-lightest: #4fddbf;
+    --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
 }
+
+article > header > h1 {
+    font-size: 2rem !important;
+}
+
+div > h1,
+header > h1,
+h2 > a {
+    font-size: 2rem !important;
+}
+
+#bmc-wbtn{
+    bottom: 15px;
+}
+
+#bmc-wbtn + div{
+    bottom:15px;
+}

docs/src/pages/index.js

@@ -3,38 +3,43 @@ import Link from '@docusaurus/Link';
 import useDocusaurusContext from '@docusaurus/useDocusaurusContext';
 import Layout from '@theme/Layout';
 import HomepageFeatures from '@site/src/components/HomepageFeatures';
-
+import BuyMeACoffee from '@site/src/components/BuyMeACoffee';
 import Heading from '@theme/Heading';
 import styles from './index.module.css';
+import BrowserOnly from '@docusaurus/BrowserOnly';
 
 function HomepageHeader() {
-    const {siteConfig} = useDocusaurusContext();
-    return (<header className={clsx('hero hero--primary', styles.heroBanner)}>
-        <div className="container">
-            <Heading as="h1" className="hero__title">
-                {siteConfig.title}
-            </Heading>
-            <img src="img/logo.svg" alt="Ollama4j Logo" className={styles.logo} style={{maxWidth: '20vh'}}/>
-            <p className="hero__subtitle">{siteConfig.tagline}</p>
-            <div className={styles.buttons}>
-                <Link
-                    className="button button--secondary button--lg"
-                    to="/docs/intro">
-                    Getting Started
-                </Link>
-            </div>
-        </div>
-    </header>);
+  const {siteConfig} = useDocusaurusContext();
+  return (<header className={clsx('hero hero--primary', styles.heroBanner)}>
+    <div className="container">
+      <Heading as="h1" className="hero__title">
+        {siteConfig.title}
+      </Heading>
+      <img src="img/logo.svg" alt="Ollama4j Logo" className={styles.logo}
+           style={{maxWidth: '20vh'}}/>
+      <p className="hero__subtitle">{siteConfig.tagline}</p>
+      <div className={styles.buttons}>
+        <Link
+            className="button button--secondary button--lg"
+            to="/intro">
+          Getting Started
+        </Link>
+      </div>
+    </div>
+  </header>);
 }
 
 export default function Home() {
-    const {siteConfig} = useDocusaurusContext();
-    return (<Layout
-        title={`Hello from ${siteConfig.title}`}
-        description="Description will go into a meta tag in <head />">
-        <HomepageHeader/>
-        <main>
-            <HomepageFeatures/>
-        </main>
-    </Layout>);
-}
+  const {siteConfig} = useDocusaurusContext();
+  return (<Layout
+      title={`Hello from ${siteConfig.title}`}
+      description="Description will go into a meta tag in <head />">
+    <HomepageHeader/>
+    <main>
+      <HomepageFeatures/>
+      <BrowserOnly>
+        {() => <BuyMeACoffee />}
+      </BrowserOnly>
+    </main>
+  </Layout>);
+}

pom.xml

@@ -1,23 +1,25 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
     <modelVersion>4.0.0</modelVersion>
 
-    <groupId>io.github.amithkoujalgi</groupId>
+    <groupId>io.github.ollama4j</groupId>
     <artifactId>ollama4j</artifactId>
-    <version>1.0.36</version>
+    <version>ollama4j-revision</version>
 
-  <name>Ollama4j</name>
-  <description>Java library for interacting with Ollama API.</description>
-  <url>https://github.com/amithkoujalgi/ollama4j</url>
+    <name>Ollama4j</name>
+    <description>Java library for interacting with Ollama API.</description>
+    <url>https://github.com/ollama4j/ollama4j</url>
+    <packaging>jar</packaging>
 
-  <properties>
-    <maven.compiler.source>11</maven.compiler.source>
-    <maven.compiler.target>11</maven.compiler.target>
-    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
-    <maven-surefire-plugin.version>3.0.0-M5</maven-surefire-plugin.version>
-    <maven-failsafe-plugin.version>3.0.0-M5</maven-failsafe-plugin.version>
-    <lombok.version>1.18.30</lombok.version>
-  </properties>
+    <properties>
+        <maven.compiler.source>11</maven.compiler.source>
+        <maven.compiler.target>11</maven.compiler.target>
+        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+        <maven-surefire-plugin.version>3.0.0-M5</maven-surefire-plugin.version>
+        <maven-failsafe-plugin.version>3.0.0-M5</maven-failsafe-plugin.version>
+        <lombok.version>1.18.30</lombok.version>
+    </properties>
 
     <developers>
         <developer>
@@ -28,273 +30,302 @@
         </developer>
     </developers>
 
-  <licenses>
-    <license>
-      <name>MIT License</name>
-      <url>https://raw.githubusercontent.com/amithkoujalgi/ollama4j/main/LICENSE</url>
-    </license>
-  </licenses>
+    <licenses>
+        <license>
+            <name>MIT License</name>
+            <url>https://raw.githubusercontent.com/ollama4j/ollama4j/main/LICENSE</url>
+        </license>
+    </licenses>
 
-  <scm>
-    <connection>scm:git:git@github.com:amithkoujalgi/ollama4j.git</connection>
-    <developerConnection>scm:git:https://github.com/amithkoujalgi/ollama4j.git</developerConnection>
-    <url>https://github.com/amithkoujalgi/ollama4j</url>
-    <tag>v1.0.36</tag>
-  </scm>
+    <scm>
+        <connection>scm:git:git@github.com:ollama4j/ollama4j.git</connection>
+        <developerConnection>scm:git:https://github.com/ollama4j/ollama4j.git</developerConnection>
+        <url>https://github.com/ollama4j/ollama4j</url>
+        <tag>ollama4j-revision</tag>
+    </scm>
 
-  <build>
-    <plugins>
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-source-plugin</artifactId>
-        <version>3.3.0</version>
-        <executions>
-          <execution>
-            <id>attach-sources</id>
-            <goals>
-              <goal>jar-no-fork</goal>
-            </goals>
-          </execution>
-        </executions>
-      </plugin>
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-javadoc-plugin</artifactId>
-        <version>3.5.0</version>
-        <executions>
-          <execution>
-            <id>attach-javadocs</id>
-            <goals>
-              <goal>jar</goal>
-            </goals>
-          </execution>
-        </executions>
-      </plugin>
-      <!--            <plugin>-->
-      <!--                <groupId>org.apache.maven.plugins</groupId>-->
-      <!--                <artifactId>maven-gpg-plugin</artifactId>-->
-      <!--                <version>1.5</version>-->
-      <!--                <executions>-->
-      <!--                    <execution>-->
-      <!--                        <id>sign-artifacts</id>-->
-      <!--                        <phase>verify</phase>-->
-      <!--                        <goals>-->
-      <!--                            <goal>sign</goal>-->
-      <!--                        </goals>-->
-      <!--                        <configuration>-->
-      <!--                            &lt;!&ndash; This is necessary for gpg to not try to use the pinentry programs &ndash;&gt;-->
-      <!--                            <gpgArguments>-->
-      <!--                                <arg>&#45;&#45;pinentry-mode</arg>-->
-      <!--                                <arg>loopback</arg>-->
-      <!--                            </gpgArguments>-->
-      <!--                        </configuration>-->
-      <!--                    </execution>-->
-      <!--                </executions>-->
-      <!--            </plugin>-->
-      <!-- Surefire Plugin for Unit Tests -->
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-surefire-plugin</artifactId>
-        <version>${maven-surefire-plugin.version}</version>
-        <configuration>
-          <skipTests>${skipUnitTests}</skipTests>
-          <includes>
-            <include>**/unittests/*.java</include>
-          </includes>
-        </configuration>
-      </plugin>
-
-      <!-- Failsafe Plugin for Integration Tests -->
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-failsafe-plugin</artifactId>
-        <version>${maven-failsafe-plugin.version}</version>
-        <configuration>
-          <includes>
-            <include>**/integrationtests/*.java</include>
-          </includes>
-          <excludes>
-            <exclude>**/unittests/*.java</exclude>
-          </excludes>
-          <skipTests>${skipIntegrationTests}</skipTests>
-        </configuration>
-        <executions>
-          <execution>
-            <goals>
-              <goal>integration-test</goal>
-              <goal>verify</goal>
-            </goals>
-          </execution>
-        </executions>
-      </plugin>
-      <plugin>
-        <groupId>org.apache.maven.plugins</groupId>
-        <artifactId>maven-release-plugin</artifactId>
-        <version>3.0.1</version>
-        <configuration>
-          <!--                    <goals>install</goals>-->
-          <tagNameFormat>v@{project.version}</tagNameFormat>
-        </configuration>
-      </plugin>
-    </plugins>
-  </build>
-
-  <dependencies>
-    <dependency>
-      <groupId>org.projectlombok</groupId>
-      <artifactId>lombok</artifactId>
-      <version>${lombok.version}</version>
-      <scope>provided</scope>
-    </dependency>
-    <dependency>
-      <groupId>com.fasterxml.jackson.core</groupId>
-      <artifactId>jackson-databind</artifactId>
-      <version>2.15.3</version>
-    </dependency>
-    <dependency>
-      <groupId>ch.qos.logback</groupId>
-      <artifactId>logback-classic</artifactId>
-      <version>1.4.12</version>
-      <scope>test</scope>
-    </dependency>
-    <dependency>
-      <groupId>org.slf4j</groupId>
-      <artifactId>slf4j-api</artifactId>
-      <version>2.0.9</version>
-    </dependency>
-    <dependency>
-      <groupId>org.junit.jupiter</groupId>
-      <artifactId>junit-jupiter-api</artifactId>
-      <version>5.10.0</version>
-      <scope>test</scope>
-    </dependency>
-    <dependency>
-      <groupId>org.mockito</groupId>
-      <artifactId>mockito-core</artifactId>
-      <version>4.1.0</version>
-      <scope>test</scope>
-    </dependency>
-  </dependencies>
-
-  <distributionManagement>
-    <snapshotRepository>
-      <id>ossrh</id>
-      <url>https://s01.oss.sonatype.org/content/repositories/snapshots</url>
-    </snapshotRepository>
-    <repository>
-      <id>ossrh</id>
-      <url>https://s01.oss.sonatype.org/service/local/staging/deploy/maven2</url>
-    </repository>
-  </distributionManagement>
-
-  <profiles>
-    <profile>
-      <id>unit-tests</id>
-      <properties>
-        <test.env>unit</test.env>
-        <skipUnitTests>false</skipUnitTests>
-        <skipIntegrationTests>true</skipIntegrationTests>
-      </properties>
-      <activation>
-        <activeByDefault>true</activeByDefault>
-      </activation>
-      <build>
+    <build>
         <plugins>
-          <plugin>
-            <groupId>org.jacoco</groupId>
-            <artifactId>jacoco-maven-plugin</artifactId>
-            <version>0.8.7</version>
-            <executions>
-              <execution>
-                <goals>
-                  <goal>prepare-agent</goal>
-                </goals>
-              </execution>
-              <execution>
-                <id>report</id>
-                <phase>test</phase>
-                <goals>
-                  <goal>report</goal>
-                </goals>
-              </execution>
-            </executions>
-          </plugin>
-        </plugins>
-      </build>
-    </profile>
-    <profile>
-      <id>integration-tests</id>
-      <properties>
-        <test.env>integration</test.env>
-        <skipUnitTests>true</skipUnitTests>
-        <skipIntegrationTests>false</skipIntegrationTests>
-      </properties>
-    </profile>
-    <profile>
-      <id>ci-cd</id>
-      <properties>
-        <test.env>unit</test.env>
-        <skipUnitTests>true</skipUnitTests>
-        <skipIntegrationTests>true</skipIntegrationTests>
-      </properties>
-      <build>
-        <plugins>
-          <plugin>
-            <groupId>org.apache.maven.plugins</groupId>
-            <artifactId>maven-gpg-plugin</artifactId>
-            <version>3.1.0</version>
-            <executions>
-              <execution>
-                <id>sign-artifacts</id>
-                <phase>verify</phase>
-                <goals>
-                  <goal>sign</goal>
-                </goals>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-source-plugin</artifactId>
+                <version>3.3.0</version>
+                <executions>
+                    <execution>
+                        <id>attach-sources</id>
+                        <goals>
+                            <goal>jar-no-fork</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-javadoc-plugin</artifactId>
+                <version>3.5.0</version>
                 <configuration>
-                  <!-- Prevent gpg from using pinentry programs. Fixes:
-                       gpg: signing failed: Inappropriate ioctl for device -->
-                  <gpgArguments>
-                    <arg>--pinentry-mode</arg>
-                    <arg>loopback</arg>
-                  </gpgArguments>
+                    <!-- to disable the "missing" warnings. Remove the doclint to enable warnings-->
+                    <doclint>all,-missing</doclint>
                 </configuration>
-              </execution>
-            </executions>
-          </plugin>
-          <plugin>
-            <groupId>org.sonatype.plugins</groupId>
-            <artifactId>nexus-staging-maven-plugin</artifactId>
-            <version>1.6.13</version>
-            <extensions>true</extensions>
-            <configuration>
-              <serverId>ossrh</serverId>
-              <nexusUrl>https://s01.oss.sonatype.org/</nexusUrl>
-              <autoReleaseAfterClose>true</autoReleaseAfterClose>
-            </configuration>
-          </plugin>
+                <executions>
+                    <execution>
+                        <id>attach-javadocs</id>
+                        <goals>
+                            <goal>jar</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+
+            <!-- Surefire Plugin for Unit Tests -->
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-surefire-plugin</artifactId>
+                <version>${maven-surefire-plugin.version}</version>
+                <configuration>
+                    <skipTests>${skipUnitTests}</skipTests>
+                    <includes>
+                        <include>**/unittests/**/*.java</include>
+                    </includes>
+                </configuration>
+            </plugin>
+
+            <!-- Failsafe Plugin for Integration Tests -->
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-failsafe-plugin</artifactId>
+                <version>${maven-failsafe-plugin.version}</version>
+                <configuration>
+                    <includes>
+                        <include>**/integrationtests/*.java</include>
+                    </includes>
+                    <excludes>
+                        <exclude>**/unittests/*.java</exclude>
+                    </excludes>
+                    <skipTests>${skipIntegrationTests}</skipTests>
+                </configuration>
+                <executions>
+                    <execution>
+                        <goals>
+                            <goal>integration-test</goal>
+                            <goal>verify</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+
+
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-gpg-plugin</artifactId>
+                <version>1.5</version>
+                <executions>
+                    <execution>
+                        <id>sign-artifacts</id>
+                        <phase>verify</phase>
+                        <goals>
+                            <goal>sign</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
 
-          <plugin>
-            <groupId>org.jacoco</groupId>
-            <artifactId>jacoco-maven-plugin</artifactId>
-            <version>0.8.7</version>
-            <executions>
-              <execution>
-                <goals>
-                  <goal>prepare-agent</goal>
-                </goals>
-              </execution>
-              <execution>
-                <id>report</id>
-                <phase>test</phase>
-                <goals>
-                  <goal>report</goal>
-                </goals>
-              </execution>
-            </executions>
-          </plugin>
         </plugins>
-      </build>
-    </profile>
-  </profiles>
+    </build>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.projectlombok</groupId>
+            <artifactId>lombok</artifactId>
+            <version>${lombok.version}</version>
+            <scope>provided</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.jsoup</groupId>
+            <artifactId>jsoup</artifactId>
+            <version>1.18.1</version>
+        </dependency>
+        <dependency>
+            <groupId>com.fasterxml.jackson.core</groupId>
+            <artifactId>jackson-databind</artifactId>
+            <version>2.17.1</version>
+        </dependency>
+        <dependency>
+            <groupId>com.fasterxml.jackson.datatype</groupId>
+            <artifactId>jackson-datatype-jsr310</artifactId>
+            <version>2.17.1</version>
+        </dependency>
+        <dependency>
+            <groupId>ch.qos.logback</groupId>
+            <artifactId>logback-classic</artifactId>
+            <version>1.5.6</version>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+            <version>2.0.9</version>
+        </dependency>
+        <dependency>
+            <groupId>org.junit.jupiter</groupId>
+            <artifactId>junit-jupiter-api</artifactId>
+            <version>5.10.0</version>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.mockito</groupId>
+            <artifactId>mockito-core</artifactId>
+            <version>4.1.0</version>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.json</groupId>
+            <artifactId>json</artifactId>
+            <version>20240205</version>
+            <scope>test</scope>
+        </dependency>
+    </dependencies>
+
+    <distributionManagement>
+        <repository>
+            <id>mvn-repo-id</id>
+        </repository>
+    </distributionManagement>
+
+    <profiles>
+        <profile>
+            <id>ossrh</id>
+            <activation>
+                <activeByDefault>true</activeByDefault>
+            </activation>
+            <properties>
+                <gpg.executable>gpg2</gpg.executable>
+                <test.env>unit</test.env>
+                <skipUnitTests>false</skipUnitTests>
+                <skipIntegrationTests>true</skipIntegrationTests>
+            </properties>
+            <build>
+                <plugins>
+                    <plugin>
+                        <groupId>org.sonatype.central</groupId>
+                        <artifactId>central-publishing-maven-plugin</artifactId>
+                        <version>0.5.0</version>
+                        <extensions>true</extensions>
+                        <configuration>
+                            <publishingServerId>mvn-repo-id</publishingServerId>
+                            <autoPublish>true</autoPublish>
+                        </configuration>
+                    </plugin>
+                </plugins>
+            </build>
+        </profile>
+        <profile>
+            <id>unit-tests</id>
+            <properties>
+                <test.env>unit</test.env>
+                <skipUnitTests>false</skipUnitTests>
+                <skipIntegrationTests>true</skipIntegrationTests>
+            </properties>
+            <activation>
+                <activeByDefault>false</activeByDefault>
+            </activation>
+            <build>
+                <plugins>
+                    <plugin>
+                        <groupId>org.jacoco</groupId>
+                        <artifactId>jacoco-maven-plugin</artifactId>
+                        <version>0.8.11</version>
+                        <executions>
+                            <execution>
+                                <goals>
+                                    <goal>prepare-agent</goal>
+                                </goals>
+                            </execution>
+                            <execution>
+                                <id>report</id>
+                                <phase>test</phase>
+                                <goals>
+                                    <goal>report</goal>
+                                </goals>
+                            </execution>
+                        </executions>
+                    </plugin>
+                </plugins>
+            </build>
+        </profile>
+        <profile>
+            <id>integration-tests</id>
+            <properties>
+                <test.env>integration</test.env>
+                <skipUnitTests>true</skipUnitTests>
+                <skipIntegrationTests>false</skipIntegrationTests>
+            </properties>
+        </profile>
+        <profile>
+            <id>ci-cd</id>
+            <properties>
+                <test.env>unit</test.env>
+                <skipUnitTests>true</skipUnitTests>
+                <skipIntegrationTests>true</skipIntegrationTests>
+            </properties>
+            <build>
+                <plugins>
+                    <plugin>
+                        <groupId>org.apache.maven.plugins</groupId>
+                        <artifactId>maven-gpg-plugin</artifactId>
+                        <version>3.1.0</version>
+                        <executions>
+                            <execution>
+                                <id>sign-artifacts</id>
+                                <phase>verify</phase>
+                                <goals>
+                                    <goal>sign</goal>
+                                </goals>
+                                <configuration>
+                                    <!-- Prevent gpg from using pinentry programs. Fixes:
+                                         gpg: signing failed: Inappropriate ioctl for device -->
+                                    <gpgArguments>
+                                        <arg>--pinentry-mode</arg>
+                                        <arg>loopback</arg>
+                                    </gpgArguments>
+                                </configuration>
+                            </execution>
+                        </executions>
+                    </plugin>
+                    <plugin>
+                        <groupId>org.sonatype.plugins</groupId>
+                        <artifactId>nexus-staging-maven-plugin</artifactId>
+                        <version>1.6.13</version>
+                        <extensions>true</extensions>
+                        <configuration>
+                            <serverId>ossrh</serverId>
+                            <nexusUrl>https://s01.oss.sonatype.org/</nexusUrl>
+                            <autoReleaseAfterClose>true</autoReleaseAfterClose>
+                        </configuration>
+                    </plugin>
+
+                    <plugin>
+                        <groupId>org.jacoco</groupId>
+                        <artifactId>jacoco-maven-plugin</artifactId>
+                        <version>0.8.7</version>
+                        <executions>
+                            <execution>
+                                <goals>
+                                    <goal>prepare-agent</goal>
+                                </goals>
+                            </execution>
+                            <execution>
+                                <id>report</id>
+                                <phase>test</phase>
+                                <goals>
+                                    <goal>report</goal>
+                                </goals>
+                            </execution>
+                        </executions>
+                    </plugin>
+                </plugins>
+            </build>
+        </profile>
+    </profiles>
 
 </project>

src/main/java/io/github/amithkoujalgi/ollama4j/core/OllamaAPI.java

@@ -1,508 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core;
-
-import io.github.amithkoujalgi.ollama4j.core.exceptions.OllamaBaseException;
-import io.github.amithkoujalgi.ollama4j.core.models.*;
-import io.github.amithkoujalgi.ollama4j.core.models.request.CustomModelFileContentsRequest;
-import io.github.amithkoujalgi.ollama4j.core.models.request.CustomModelFilePathRequest;
-import io.github.amithkoujalgi.ollama4j.core.models.request.ModelEmbeddingsRequest;
-import io.github.amithkoujalgi.ollama4j.core.models.request.ModelRequest;
-import io.github.amithkoujalgi.ollama4j.core.utils.Utils;
-import java.io.BufferedReader;
-import java.io.ByteArrayOutputStream;
-import java.io.File;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.net.URI;
-import java.net.URISyntaxException;
-import java.net.URL;
-import java.net.http.HttpClient;
-import java.net.http.HttpConnectTimeoutException;
-import java.net.http.HttpRequest;
-import java.net.http.HttpResponse;
-import java.nio.charset.StandardCharsets;
-import java.nio.file.Files;
-import java.time.Duration;
-import java.util.ArrayList;
-import java.util.Base64;
-import java.util.List;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-/** The base Ollama API class. */
-@SuppressWarnings("DuplicatedCode")
-public class OllamaAPI {
-
-  private static final Logger logger = LoggerFactory.getLogger(OllamaAPI.class);
-  private final String host;
-  private long requestTimeoutSeconds = 3;
-  private boolean verbose = true;
-  private BasicAuth basicAuth;
-
-  /**
-   * Instantiates the Ollama API.
-   *
-   * @param host the host address of Ollama server
-   */
-  public OllamaAPI(String host) {
-    if (host.endsWith("/")) {
-      this.host = host.substring(0, host.length() - 1);
-    } else {
-      this.host = host;
-    }
-  }
-
-  /**
-   * Set request timeout in seconds. Default is 3 seconds.
-   *
-   * @param requestTimeoutSeconds the request timeout in seconds
-   */
-  public void setRequestTimeoutSeconds(long requestTimeoutSeconds) {
-    this.requestTimeoutSeconds = requestTimeoutSeconds;
-  }
-
-  /**
-   * Set/unset logging of responses
-   *
-   * @param verbose true/false
-   */
-  public void setVerbose(boolean verbose) {
-    this.verbose = verbose;
-  }
-
-  /**
-   * Set basic authentication for accessing Ollama server that's behind a reverse-proxy/gateway.
-   *
-   * @param username the username
-   * @param password the password
-   */
-  public void setBasicAuth(String username, String password) {
-    this.basicAuth = new BasicAuth(username, password);
-  }
-
-  /**
-   * API to check the reachability of Ollama server.
-   *
-   * @return true if the server is reachable, false otherwise.
-   */
-  public boolean ping() {
-    String url = this.host + "/api/tags";
-    HttpClient httpClient = HttpClient.newHttpClient();
-    HttpRequest httpRequest = null;
-    try {
-      httpRequest =
-          getRequestBuilderDefault(new URI(url))
-              .header("Accept", "application/json")
-              .header("Content-type", "application/json")
-              .GET()
-              .build();
-    } catch (URISyntaxException e) {
-      throw new RuntimeException(e);
-    }
-    HttpResponse<String> response = null;
-    try {
-      response = httpClient.send(httpRequest, HttpResponse.BodyHandlers.ofString());
-    } catch (HttpConnectTimeoutException e) {
-      return false;
-    } catch (IOException | InterruptedException e) {
-      throw new RuntimeException(e);
-    }
-    int statusCode = response.statusCode();
-    return statusCode == 200;
-  }
-
-  /**
-   * List available models from Ollama server.
-   *
-   * @return the list
-   */
-  public List<Model> listModels()
-      throws OllamaBaseException, IOException, InterruptedException, URISyntaxException {
-    String url = this.host + "/api/tags";
-    HttpClient httpClient = HttpClient.newHttpClient();
-    HttpRequest httpRequest =
-        getRequestBuilderDefault(new URI(url))
-            .header("Accept", "application/json")
-            .header("Content-type", "application/json")
-            .GET()
-            .build();
-    HttpResponse<String> response =
-        httpClient.send(httpRequest, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseString = response.body();
-    if (statusCode == 200) {
-      return Utils.getObjectMapper()
-          .readValue(responseString, ListModelsResponse.class)
-          .getModels();
-    } else {
-      throw new OllamaBaseException(statusCode + " - " + responseString);
-    }
-  }
-
-  /**
-   * Pull a model on the Ollama server from the list of <a
-   * href="https://ollama.ai/library">available models</a>.
-   *
-   * @param modelName the name of the model
-   */
-  public void pullModel(String modelName)
-      throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
-    String url = this.host + "/api/pull";
-    String jsonData = new ModelRequest(modelName).toString();
-    HttpRequest request =
-        getRequestBuilderDefault(new URI(url))
-            .POST(HttpRequest.BodyPublishers.ofString(jsonData))
-            .header("Accept", "application/json")
-            .header("Content-type", "application/json")
-            .build();
-    HttpClient client = HttpClient.newHttpClient();
-    HttpResponse<InputStream> response =
-        client.send(request, HttpResponse.BodyHandlers.ofInputStream());
-    int statusCode = response.statusCode();
-    InputStream responseBodyStream = response.body();
-    String responseString = "";
-    try (BufferedReader reader =
-        new BufferedReader(new InputStreamReader(responseBodyStream, StandardCharsets.UTF_8))) {
-      String line;
-      while ((line = reader.readLine()) != null) {
-        ModelPullResponse modelPullResponse =
-            Utils.getObjectMapper().readValue(line, ModelPullResponse.class);
-        if (verbose) {
-          logger.info(modelPullResponse.getStatus());
-        }
-      }
-    }
-    if (statusCode != 200) {
-      throw new OllamaBaseException(statusCode + " - " + responseString);
-    }
-  }
-
-  /**
-   * Gets model details from the Ollama server.
-   *
-   * @param modelName the model
-   * @return the model details
-   */
-  public ModelDetail getModelDetails(String modelName)
-      throws IOException, OllamaBaseException, InterruptedException, URISyntaxException {
-    String url = this.host + "/api/show";
-    String jsonData = new ModelRequest(modelName).toString();
-    HttpRequest request =
-        getRequestBuilderDefault(new URI(url))
-            .header("Accept", "application/json")
-            .header("Content-type", "application/json")
-            .POST(HttpRequest.BodyPublishers.ofString(jsonData))
-            .build();
-    HttpClient client = HttpClient.newHttpClient();
-    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseBody = response.body();
-    if (statusCode == 200) {
-      return Utils.getObjectMapper().readValue(responseBody, ModelDetail.class);
-    } else {
-      throw new OllamaBaseException(statusCode + " - " + responseBody);
-    }
-  }
-
-  /**
-   * Create a custom model from a model file. Read more about custom model file creation <a
-   * href="https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md">here</a>.
-   *
-   * @param modelName the name of the custom model to be created.
-   * @param modelFilePath the path to model file that exists on the Ollama server.
-   */
-  public void createModelWithFilePath(String modelName, String modelFilePath)
-      throws IOException, InterruptedException, OllamaBaseException, URISyntaxException {
-    String url = this.host + "/api/create";
-    String jsonData = new CustomModelFilePathRequest(modelName, modelFilePath).toString();
-    HttpRequest request =
-        getRequestBuilderDefault(new URI(url))
-            .header("Accept", "application/json")
-            .header("Content-Type", "application/json")
-            .POST(HttpRequest.BodyPublishers.ofString(jsonData, StandardCharsets.UTF_8))
-            .build();
-    HttpClient client = HttpClient.newHttpClient();
-    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseString = response.body();
-    if (statusCode != 200) {
-      throw new OllamaBaseException(statusCode + " - " + responseString);
-    }
-    // FIXME: Ollama API returns HTTP status code 200 for model creation failure cases. Correct this
-    // if the issue is fixed in the Ollama API server.
-    if (responseString.contains("error")) {
-      throw new OllamaBaseException(responseString);
-    }
-    if (verbose) {
-      logger.info(responseString);
-    }
-  }
-
-  /**
-   * Create a custom model from a model file. Read more about custom model file creation <a
-   * href="https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md">here</a>.
-   *
-   * @param modelName the name of the custom model to be created.
-   * @param modelFileContents the path to model file that exists on the Ollama server.
-   */
-  public void createModelWithModelFileContents(String modelName, String modelFileContents)
-      throws IOException, InterruptedException, OllamaBaseException, URISyntaxException {
-    String url = this.host + "/api/create";
-    String jsonData = new CustomModelFileContentsRequest(modelName, modelFileContents).toString();
-    HttpRequest request =
-        getRequestBuilderDefault(new URI(url))
-            .header("Accept", "application/json")
-            .header("Content-Type", "application/json")
-            .POST(HttpRequest.BodyPublishers.ofString(jsonData, StandardCharsets.UTF_8))
-            .build();
-    HttpClient client = HttpClient.newHttpClient();
-    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseString = response.body();
-    if (statusCode != 200) {
-      throw new OllamaBaseException(statusCode + " - " + responseString);
-    }
-    if (responseString.contains("error")) {
-      throw new OllamaBaseException(responseString);
-    }
-    if (verbose) {
-      logger.info(responseString);
-    }
-  }
-
-  /**
-   * Delete a model from Ollama server.
-   *
-   * @param modelName the name of the model to be deleted.
-   * @param ignoreIfNotPresent ignore errors if the specified model is not present on Ollama server.
-   */
-  public void deleteModel(String modelName, boolean ignoreIfNotPresent)
-      throws IOException, InterruptedException, OllamaBaseException, URISyntaxException {
-    String url = this.host + "/api/delete";
-    String jsonData = new ModelRequest(modelName).toString();
-    HttpRequest request =
-        getRequestBuilderDefault(new URI(url))
-            .method("DELETE", HttpRequest.BodyPublishers.ofString(jsonData, StandardCharsets.UTF_8))
-            .header("Accept", "application/json")
-            .header("Content-type", "application/json")
-            .build();
-    HttpClient client = HttpClient.newHttpClient();
-    HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseBody = response.body();
-    if (statusCode == 404 && responseBody.contains("model") && responseBody.contains("not found")) {
-      return;
-    }
-    if (statusCode != 200) {
-      throw new OllamaBaseException(statusCode + " - " + responseBody);
-    }
-  }
-
-  /**
-   * Generate embeddings for a given text from a model
-   *
-   * @param model name of model to generate embeddings from
-   * @param prompt text to generate embeddings for
-   * @return embeddings
-   */
-  public List<Double> generateEmbeddings(String model, String prompt)
-      throws IOException, InterruptedException, OllamaBaseException {
-    URI uri = URI.create(this.host + "/api/embeddings");
-    String jsonData = new ModelEmbeddingsRequest(model, prompt).toString();
-    HttpClient httpClient = HttpClient.newHttpClient();
-    HttpRequest.Builder requestBuilder =
-        getRequestBuilderDefault(uri)
-            .header("Accept", "application/json")
-            .POST(HttpRequest.BodyPublishers.ofString(jsonData));
-    HttpRequest request = requestBuilder.build();
-    HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
-    int statusCode = response.statusCode();
-    String responseBody = response.body();
-    if (statusCode == 200) {
-      EmbeddingResponse embeddingResponse =
-          Utils.getObjectMapper().readValue(responseBody, EmbeddingResponse.class);
-      return embeddingResponse.getEmbedding();
-    } else {
-      throw new OllamaBaseException(statusCode + " - " + responseBody);
-    }
-  }
-
-  /**
-   * Ask a question to a model running on Ollama server. This is a sync/blocking call.
-   *
-   * @param model the ollama model to ask the question to
-   * @param prompt the prompt/question text
-   * @return OllamaResult that includes response text and time taken for response
-   */
-  public OllamaResult ask(String model, String prompt)
-      throws OllamaBaseException, IOException, InterruptedException {
-    OllamaRequestModel ollamaRequestModel = new OllamaRequestModel(model, prompt);
-    return askSync(ollamaRequestModel);
-  }
-
-  /**
-   * Ask a question to a model running on Ollama server and get a callback handle that can be used
-   * to check for status and get the response from the model later. This would be an
-   * async/non-blocking call.
-   *
-   * @param model the ollama model to ask the question to
-   * @param prompt the prompt/question text
-   * @return the ollama async result callback handle
-   */
-  public OllamaAsyncResultCallback askAsync(String model, String prompt) {
-    OllamaRequestModel ollamaRequestModel = new OllamaRequestModel(model, prompt);
-
-    URI uri = URI.create(this.host + "/api/generate");
-    OllamaAsyncResultCallback ollamaAsyncResultCallback =
-        new OllamaAsyncResultCallback(
-            getRequestBuilderDefault(uri), ollamaRequestModel, requestTimeoutSeconds);
-    ollamaAsyncResultCallback.start();
-    return ollamaAsyncResultCallback;
-  }
-
-  /**
-   * With one or more image files, ask a question to a model running on Ollama server. This is a
-   * sync/blocking call.
-   *
-   * @param model the ollama model to ask the question to
-   * @param prompt the prompt/question text
-   * @param imageFiles the list of image files to use for the question
-   * @return OllamaResult that includes response text and time taken for response
-   */
-  public OllamaResult askWithImageFiles(String model, String prompt, List<File> imageFiles)
-      throws OllamaBaseException, IOException, InterruptedException {
-    List<String> images = new ArrayList<>();
-    for (File imageFile : imageFiles) {
-      images.add(encodeFileToBase64(imageFile));
-    }
-    OllamaRequestModel ollamaRequestModel = new OllamaRequestModel(model, prompt, images);
-    return askSync(ollamaRequestModel);
-  }
-
-  /**
-   * With one or more image URLs, ask a question to a model running on Ollama server. This is a
-   * sync/blocking call.
-   *
-   * @param model the ollama model to ask the question to
-   * @param prompt the prompt/question text
-   * @param imageURLs the list of image URLs to use for the question
-   * @return OllamaResult that includes response text and time taken for response
-   */
-  public OllamaResult askWithImageURLs(String model, String prompt, List<String> imageURLs)
-      throws OllamaBaseException, IOException, InterruptedException, URISyntaxException {
-    List<String> images = new ArrayList<>();
-    for (String imageURL : imageURLs) {
-      images.add(encodeByteArrayToBase64(loadImageBytesFromUrl(imageURL)));
-    }
-    OllamaRequestModel ollamaRequestModel = new OllamaRequestModel(model, prompt, images);
-    return askSync(ollamaRequestModel);
-  }
-
-  private static String encodeFileToBase64(File file) throws IOException {
-    return Base64.getEncoder().encodeToString(Files.readAllBytes(file.toPath()));
-  }
-
-  private static String encodeByteArrayToBase64(byte[] bytes) {
-    return Base64.getEncoder().encodeToString(bytes);
-  }
-
-  private static byte[] loadImageBytesFromUrl(String imageUrl)
-      throws IOException, URISyntaxException {
-    URL url = new URI(imageUrl).toURL();
-    try (InputStream in = url.openStream();
-        ByteArrayOutputStream out = new ByteArrayOutputStream()) {
-      byte[] buffer = new byte[1024];
-      int bytesRead;
-      while ((bytesRead = in.read(buffer)) != -1) {
-        out.write(buffer, 0, bytesRead);
-      }
-      return out.toByteArray();
-    }
-  }
-
-  private OllamaResult askSync(OllamaRequestModel ollamaRequestModel)
-      throws OllamaBaseException, IOException, InterruptedException {
-    long startTime = System.currentTimeMillis();
-    HttpClient httpClient = HttpClient.newHttpClient();
-    URI uri = URI.create(this.host + "/api/generate");
-    HttpRequest.Builder requestBuilder =
-        getRequestBuilderDefault(uri)
-            .POST(
-                HttpRequest.BodyPublishers.ofString(
-                    Utils.getObjectMapper().writeValueAsString(ollamaRequestModel)));
-    HttpRequest request = requestBuilder.build();
-    logger.debug("Ask model '" + ollamaRequestModel + "' ...");
-    HttpResponse<InputStream> response =
-        httpClient.send(request, HttpResponse.BodyHandlers.ofInputStream());
-    int statusCode = response.statusCode();
-    InputStream responseBodyStream = response.body();
-    StringBuilder responseBuffer = new StringBuilder();
-    try (BufferedReader reader =
-        new BufferedReader(new InputStreamReader(responseBodyStream, StandardCharsets.UTF_8))) {
-      String line;
-      while ((line = reader.readLine()) != null) {
-        if (statusCode == 404) {
-          logger.warn("Status code: 404 (Not Found)");
-          OllamaErrorResponseModel ollamaResponseModel =
-              Utils.getObjectMapper().readValue(line, OllamaErrorResponseModel.class);
-          responseBuffer.append(ollamaResponseModel.getError());
-        } else if (statusCode == 401) {
-          logger.warn("Status code: 401 (Unauthorized)");
-          OllamaErrorResponseModel ollamaResponseModel =
-              Utils.getObjectMapper()
-                  .readValue("{\"error\":\"Unauthorized\"}", OllamaErrorResponseModel.class);
-          responseBuffer.append(ollamaResponseModel.getError());
-        } else {
-          OllamaResponseModel ollamaResponseModel =
-              Utils.getObjectMapper().readValue(line, OllamaResponseModel.class);
-          if (!ollamaResponseModel.isDone()) {
-            responseBuffer.append(ollamaResponseModel.getResponse());
-          }
-        }
-      }
-    }
-    if (statusCode != 200) {
-      logger.error("Status code " + statusCode);
-      throw new OllamaBaseException(responseBuffer.toString());
-    } else {
-      long endTime = System.currentTimeMillis();
-      return new OllamaResult(responseBuffer.toString().trim(), endTime - startTime, statusCode);
-    }
-  }
-
-  /**
-   * Get default request builder.
-   *
-   * @param uri URI to get a HttpRequest.Builder
-   * @return HttpRequest.Builder
-   */
-  private HttpRequest.Builder getRequestBuilderDefault(URI uri) {
-    HttpRequest.Builder requestBuilder =
-        HttpRequest.newBuilder(uri)
-            .header("Content-Type", "application/json")
-            .timeout(Duration.ofSeconds(requestTimeoutSeconds));
-    if (isBasicAuthCredentialsSet()) {
-      requestBuilder.header("Authorization", getBasicAuthHeaderValue());
-    }
-    return requestBuilder;
-  }
-
-  /**
-   * Get basic authentication header value.
-   *
-   * @return basic authentication header value (encoded credentials)
-   */
-  private String getBasicAuthHeaderValue() {
-    String credentialsToEncode = basicAuth.getUsername() + ":" + basicAuth.getPassword();
-    return "Basic " + Base64.getEncoder().encodeToString(credentialsToEncode.getBytes());
-  }
-
-  /**
-   * Check if Basic Auth credentials set.
-   *
-   * @return true when Basic Auth credentials set
-   */
-  private boolean isBasicAuthCredentialsSet() {
-    return basicAuth != null;
-  }
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/models/ModelDetail.java

@@ -1,20 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
-
-import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
-import com.fasterxml.jackson.annotation.JsonProperty;
-import java.util.Map;
-import lombok.Data;
-
-@Data
-@JsonIgnoreProperties(ignoreUnknown = true)
-public class ModelDetail {
-  private String license;
-
-  @JsonProperty("modelfile")
-  private String modelFile;
-
-  private String parameters;
-  private String template;
-  private String system;
-  private Map<String, String> details;
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/models/OllamaAsyncResultCallback.java

@@ -1,141 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
-
-import io.github.amithkoujalgi.ollama4j.core.exceptions.OllamaBaseException;
-import io.github.amithkoujalgi.ollama4j.core.utils.Utils;
-import java.io.BufferedReader;
-import java.io.IOException;
-import java.io.InputStream;
-import java.io.InputStreamReader;
-import java.net.http.HttpClient;
-import java.net.http.HttpRequest;
-import java.net.http.HttpResponse;
-import java.nio.charset.StandardCharsets;
-import java.time.Duration;
-import java.util.LinkedList;
-import java.util.Queue;
-import lombok.Data;
-import lombok.EqualsAndHashCode;
-import lombok.Getter;
-
-@Data
-@EqualsAndHashCode(callSuper = true)
-@SuppressWarnings("unused")
-public class OllamaAsyncResultCallback extends Thread {
-  private final HttpRequest.Builder requestBuilder;
-  private final OllamaRequestModel ollamaRequestModel;
-  private final Queue<String> queue = new LinkedList<>();
-  private String result;
-  private boolean isDone;
-
-  /**
-   * -- GETTER -- Returns the status of the request. Indicates if the request was successful or a
-   * failure. If the request was a failure, the `getResponse()` method will return the error
-   * message.
-   */
-  @Getter private boolean succeeded;
-
-  private long requestTimeoutSeconds;
-
-  /**
-   * -- GETTER -- Returns the HTTP response status code for the request that was made to Ollama
-   * server.
-   */
-  @Getter private int httpStatusCode;
-
-  /** -- GETTER -- Returns the response time in milliseconds. */
-  @Getter private long responseTime = 0;
-
-  public OllamaAsyncResultCallback(
-      HttpRequest.Builder requestBuilder,
-      OllamaRequestModel ollamaRequestModel,
-      long requestTimeoutSeconds) {
-    this.requestBuilder = requestBuilder;
-    this.ollamaRequestModel = ollamaRequestModel;
-    this.isDone = false;
-    this.result = "";
-    this.queue.add("");
-    this.requestTimeoutSeconds = requestTimeoutSeconds;
-  }
-
-  @Override
-  public void run() {
-    HttpClient httpClient = HttpClient.newHttpClient();
-    try {
-      long startTime = System.currentTimeMillis();
-      HttpRequest request =
-          requestBuilder
-              .POST(
-                  HttpRequest.BodyPublishers.ofString(
-                      Utils.getObjectMapper().writeValueAsString(ollamaRequestModel)))
-              .header("Content-Type", "application/json")
-              .timeout(Duration.ofSeconds(requestTimeoutSeconds))
-              .build();
-      HttpResponse<InputStream> response =
-          httpClient.send(request, HttpResponse.BodyHandlers.ofInputStream());
-      int statusCode = response.statusCode();
-      this.httpStatusCode = statusCode;
-
-      InputStream responseBodyStream = response.body();
-      try (BufferedReader reader =
-          new BufferedReader(new InputStreamReader(responseBodyStream, StandardCharsets.UTF_8))) {
-        String line;
-        StringBuilder responseBuffer = new StringBuilder();
-        while ((line = reader.readLine()) != null) {
-          if (statusCode == 404) {
-            OllamaErrorResponseModel ollamaResponseModel =
-                Utils.getObjectMapper().readValue(line, OllamaErrorResponseModel.class);
-            queue.add(ollamaResponseModel.getError());
-            responseBuffer.append(ollamaResponseModel.getError());
-          } else {
-            OllamaResponseModel ollamaResponseModel =
-                Utils.getObjectMapper().readValue(line, OllamaResponseModel.class);
-            queue.add(ollamaResponseModel.getResponse());
-            if (!ollamaResponseModel.isDone()) {
-              responseBuffer.append(ollamaResponseModel.getResponse());
-            }
-          }
-        }
-
-        this.isDone = true;
-        this.succeeded = true;
-        this.result = responseBuffer.toString();
-        long endTime = System.currentTimeMillis();
-        responseTime = endTime - startTime;
-      }
-      if (statusCode != 200) {
-        throw new OllamaBaseException(this.result);
-      }
-    } catch (IOException | InterruptedException | OllamaBaseException e) {
-      this.isDone = true;
-      this.succeeded = false;
-      this.result = "[FAILED] " + e.getMessage();
-    }
-  }
-
-  /**
-   * Returns the status of the thread. This does not indicate that the request was successful or a
-   * failure, rather it is just a status flag to indicate if the thread is active or ended.
-   *
-   * @return boolean - status
-   */
-  public boolean isComplete() {
-    return isDone;
-  }
-
-  /**
-   * Returns the final response when the execution completes. Does not return intermediate results.
-   *
-   * @return String - response text
-   */
-  public String getResponse() {
-    return result;
-  }
-
-  public Queue<String> getStream() {
-    return queue;
-  }
-
-  public void setRequestTimeoutSeconds(long requestTimeoutSeconds) {
-    this.requestTimeoutSeconds = requestTimeoutSeconds;
-  }
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/models/OllamaErrorResponseModel.java

@@ -1,13 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
-
-import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
-import com.fasterxml.jackson.annotation.JsonProperty;
-import java.util.List;
-import lombok.Data;
-
-@Data
-@JsonIgnoreProperties(ignoreUnknown = true)
-public class OllamaErrorResponseModel {
-
-  private String error;
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/models/OllamaRequestModel.java

@@ -1,35 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
-
-
-import static io.github.amithkoujalgi.ollama4j.core.utils.Utils.getObjectMapper;
-
-import com.fasterxml.jackson.core.JsonProcessingException;
-import java.util.List;
-import lombok.Data;
-
-@Data
-public class OllamaRequestModel {
-
-  private String model;
-  private String prompt;
-  private List<String> images;
-
-  public OllamaRequestModel(String model, String prompt) {
-    this.model = model;
-    this.prompt = prompt;
-  }
-
-  public OllamaRequestModel(String model, String prompt, List<String> images) {
-    this.model = model;
-    this.prompt = prompt;
-    this.images = images;
-  }
-
-  public String toString() {
-    try {
-      return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
-    } catch (JsonProcessingException e) {
-      throw new RuntimeException(e);
-    }
-  }
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/models/request/ModelEmbeddingsRequest.java

@@ -1,23 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.models.request;
-
-import static io.github.amithkoujalgi.ollama4j.core.utils.Utils.getObjectMapper;
-
-import com.fasterxml.jackson.core.JsonProcessingException;
-import lombok.AllArgsConstructor;
-import lombok.Data;
-
-@Data
-@AllArgsConstructor
-public class ModelEmbeddingsRequest {
-  private String model;
-  private String prompt;
-
-  @Override
-  public String toString() {
-    try {
-      return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
-    } catch (JsonProcessingException e) {
-      throw new RuntimeException(e);
-    }
-  }
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/types/OllamaModelType.java

@@ -1,63 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.types;
-
-/**
- * A class to provide constants for all the supported models by Ollama.
- *
- * <p>Refer to the full list of models and the details here: <a
- * href="https://ollama.ai/library">https://ollama.ai/library</a>
- */
-@SuppressWarnings("ALL")
-public class OllamaModelType {
-  public static final String LLAMA2 = "llama2";
-  public static final String MISTRAL = "mistral";
-  public static final String LLAVA = "llava";
-  public static final String MIXTRAL = "mixtral";
-  public static final String STARLING_LM = "starling-lm";
-  public static final String NEURAL_CHAT = "neural-chat";
-  public static final String CODELLAMA = "codellama";
-  public static final String LLAMA2_UNCENSORED = "llama2-uncensored";
-  public static final String DOLPHIN_MIXTRAL = "dolphin-mixtral";
-  public static final String ORCA_MINI = "orca-mini";
-  public static final String VICUNA = "vicuna";
-  public static final String WIZARD_VICUNA_UNCENSORED = "wizard-vicuna-uncensored";
-  public static final String PHIND_CODELLAMA = "phind-codellama";
-  public static final String ZEPHYR = "zephyr";
-  public static final String WIZARDCODER = "wizardcoder";
-  public static final String MISTRAL_OPENORCA = "mistral-openorca";
-  public static final String NOUS_HERMES = "nous-hermes";
-  public static final String DEEPSEEK_CODER = "deepseek-coder";
-  public static final String WIZARD_MATH = "wizard-math";
-  public static final String LLAMA2_CHINESE = "llama2-chinese";
-  public static final String FALCON = "falcon";
-  public static final String ORCA2 = "orca2";
-  public static final String STABLE_BELUGA = "stable-beluga";
-  public static final String CODEUP = "codeup";
-  public static final String EVERYTHINGLM = "everythinglm";
-  public static final String MEDLLAMA2 = "medllama2";
-  public static final String WIZARDLM_UNCENSORED = "wizardlm-uncensored";
-  public static final String STARCODER = "starcoder";
-  public static final String DOLPHIN22_MISTRAL = "dolphin2.2-mistral";
-  public static final String OPENCHAT = "openchat";
-  public static final String WIZARD_VICUNA = "wizard-vicuna";
-  public static final String OPENHERMES25_MISTRAL = "openhermes2.5-mistral";
-  public static final String OPEN_ORCA_PLATYPUS2 = "open-orca-platypus2";
-  public static final String YI = "yi";
-  public static final String YARN_MISTRAL = "yarn-mistral";
-  public static final String SAMANTHA_MISTRAL = "samantha-mistral";
-  public static final String SQLCODER = "sqlcoder";
-  public static final String YARN_LLAMA2 = "yarn-llama2";
-  public static final String MEDITRON = "meditron";
-  public static final String STABLELM_ZEPHYR = "stablelm-zephyr";
-  public static final String OPENHERMES2_MISTRAL = "openhermes2-mistral";
-  public static final String DEEPSEEK_LLM = "deepseek-llm";
-  public static final String MISTRALLITE = "mistrallite";
-  public static final String DOLPHIN21_MISTRAL = "dolphin2.1-mistral";
-  public static final String WIZARDLM = "wizardlm";
-  public static final String CODEBOOGA = "codebooga";
-  public static final String MAGICODER = "magicoder";
-  public static final String GOLIATH = "goliath";
-  public static final String NEXUSRAVEN = "nexusraven";
-  public static final String ALFRED = "alfred";
-  public static final String XWINLM = "xwinlm";
-  public static final String BAKLLAVA = "bakllava";
-}

src/main/java/io/github/amithkoujalgi/ollama4j/core/utils/Utils.java

@@ -1,9 +0,0 @@
-package io.github.amithkoujalgi.ollama4j.core.utils;
-
-import com.fasterxml.jackson.databind.ObjectMapper;
-
-public class Utils {
-  public static ObjectMapper getObjectMapper() {
-    return new ObjectMapper();
-  }
-}

src/main/java/io/github/ollama4j/exceptions/OllamaBaseException.java

@@ -1,4 +1,4 @@
-package io.github.amithkoujalgi.ollama4j.core.exceptions;
+package io.github.ollama4j.exceptions;
 
 public class OllamaBaseException extends Exception {
 

src/main/java/io/github/ollama4j/exceptions/RoleNotFoundException.java

@@ -0,0 +1,8 @@
+package io.github.ollama4j.exceptions;
+
+public class RoleNotFoundException extends Exception {
+
+    public RoleNotFoundException(String s) {
+        super(s);
+    }
+}

src/main/java/io/github/ollama4j/exceptions/ToolInvocationException.java

@@ -0,0 +1,8 @@
+package io.github.ollama4j.exceptions;
+
+public class ToolInvocationException extends Exception {
+
+    public ToolInvocationException(String s, Exception e) {
+        super(s, e);
+    }
+}

src/main/java/io/github/ollama4j/exceptions/ToolNotFoundException.java

@@ -0,0 +1,8 @@
+package io.github.ollama4j.exceptions;
+
+public class ToolNotFoundException extends Exception {
+
+    public ToolNotFoundException(String s) {
+        super(s);
+    }
+}

src/main/java/io/github/ollama4j/impl/ConsoleOutputStreamHandler.java

@@ -0,0 +1,14 @@
+package io.github.ollama4j.impl;
+
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+
+public class ConsoleOutputStreamHandler implements OllamaStreamHandler {
+    private final StringBuffer response = new StringBuffer();
+
+    @Override
+    public void accept(String message) {
+        String substr = message.substring(response.length());
+        response.append(substr);
+        System.out.print(substr);
+    }
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatMessage.java

@@ -0,0 +1,49 @@
+package io.github.ollama4j.models.chat;
+
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.annotation.JsonSerialize;
+
+import io.github.ollama4j.utils.FileToBase64Serializer;
+
+import java.util.List;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import lombok.NonNull;
+import lombok.RequiredArgsConstructor;
+
+/**
+ * Defines a single Message to be used inside a chat request against the ollama /api/chat endpoint.
+ *
+ * @see <a href="https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion">Generate chat completion</a>
+ */
+@Data
+@AllArgsConstructor
+@RequiredArgsConstructor
+@NoArgsConstructor
+public class OllamaChatMessage {
+
+    @NonNull
+    private OllamaChatMessageRole role;
+
+    @NonNull
+    private String content;
+
+    private @JsonProperty("tool_calls") List<OllamaChatToolCalls> toolCalls;
+
+    @JsonSerialize(using = FileToBase64Serializer.class)
+    private List<byte[]> images;
+
+    @Override
+    public String toString() {
+        try {
+            return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+        } catch (JsonProcessingException e) {
+            throw new RuntimeException(e);
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatMessageRole.java

@@ -0,0 +1,53 @@
+package io.github.ollama4j.models.chat;
+
+import com.fasterxml.jackson.annotation.JsonValue;
+import io.github.ollama4j.exceptions.RoleNotFoundException;
+import lombok.Getter;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Defines the possible Chat Message roles.
+ */
+@Getter
+public class OllamaChatMessageRole {
+    private static final List<OllamaChatMessageRole> roles = new ArrayList<>();
+
+    public static final OllamaChatMessageRole SYSTEM = new OllamaChatMessageRole("system");
+    public static final OllamaChatMessageRole USER = new OllamaChatMessageRole("user");
+    public static final OllamaChatMessageRole ASSISTANT = new OllamaChatMessageRole("assistant");
+    public static final OllamaChatMessageRole TOOL = new OllamaChatMessageRole("tool");
+
+    @JsonValue
+    private final String roleName;
+
+    private OllamaChatMessageRole(String roleName) {
+        this.roleName = roleName;
+        roles.add(this);
+    }
+
+    public static OllamaChatMessageRole newCustomRole(String roleName) {
+        OllamaChatMessageRole customRole = new OllamaChatMessageRole(roleName);
+        roles.add(customRole);
+        return customRole;
+    }
+
+    public static List<OllamaChatMessageRole> getRoles() {
+        return new ArrayList<>(roles);
+    }
+
+    public static OllamaChatMessageRole getRole(String roleName) throws RoleNotFoundException {
+        for (OllamaChatMessageRole role : roles) {
+            if (role.roleName.equals(roleName)) {
+                return role;
+            }
+        }
+        throw new RoleNotFoundException("Invalid role name: " + roleName);
+    }
+
+    @Override
+    public String toString() {
+        return roleName;
+    }
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatRequest.java

@@ -0,0 +1,43 @@
+package io.github.ollama4j.models.chat;
+
+import java.util.List;
+
+import io.github.ollama4j.models.request.OllamaCommonRequest;
+import io.github.ollama4j.tools.Tools;
+import io.github.ollama4j.utils.OllamaRequestBody;
+
+import lombok.Getter;
+import lombok.Setter;
+
+/**
+ * Defines a Request to use against the ollama /api/chat endpoint.
+ *
+ * @see <a href=
+ *      "https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion">Generate
+ *      Chat Completion</a>
+ */
+@Getter
+@Setter
+public class OllamaChatRequest extends OllamaCommonRequest implements OllamaRequestBody {
+
+  private List<OllamaChatMessage> messages;
+
+  private List<Tools.PromptFuncDefinition> tools;
+
+  public OllamaChatRequest() {}
+
+  public OllamaChatRequest(String model, List<OllamaChatMessage> messages) {
+    this.model = model;
+    this.messages = messages;
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (!(o instanceof OllamaChatRequest)) {
+      return false;
+    }
+
+    return this.toString().equals(o.toString());
+  }
+
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatRequestBuilder.java

@@ -0,0 +1,111 @@
+package io.github.ollama4j.models.chat;
+
+import io.github.ollama4j.utils.Options;
+import io.github.ollama4j.utils.Utils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.File;
+import java.io.IOException;
+import java.net.URISyntaxException;
+import java.nio.file.Files;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+import java.util.stream.Collectors;
+
+/**
+ * Helper class for creating {@link OllamaChatRequest} objects using the builder-pattern.
+ */
+public class OllamaChatRequestBuilder {
+
+    private static final Logger LOG = LoggerFactory.getLogger(OllamaChatRequestBuilder.class);
+
+    private OllamaChatRequestBuilder(String model, List<OllamaChatMessage> messages) {
+        request = new OllamaChatRequest(model, messages);
+    }
+
+    private OllamaChatRequest request;
+
+    public static OllamaChatRequestBuilder getInstance(String model) {
+        return new OllamaChatRequestBuilder(model, new ArrayList<>());
+    }
+
+    public OllamaChatRequest build() {
+        return request;
+    }
+
+    public void reset() {
+        request = new OllamaChatRequest(request.getModel(), new ArrayList<>());
+    }
+
+    public OllamaChatRequestBuilder withMessage(OllamaChatMessageRole role, String content){
+        return withMessage(role,content, Collections.emptyList());
+    }
+
+    public OllamaChatRequestBuilder withMessage(OllamaChatMessageRole role, String content, List<OllamaChatToolCalls> toolCalls,List<File> images) {
+        List<OllamaChatMessage> messages = this.request.getMessages();
+
+        List<byte[]> binaryImages = images.stream().map(file -> {
+            try {
+                return Files.readAllBytes(file.toPath());
+            } catch (IOException e) {
+                LOG.warn("File '{}' could not be accessed, will not add to message!", file.toPath(), e);
+                return new byte[0];
+            }
+        }).collect(Collectors.toList());
+
+        messages.add(new OllamaChatMessage(role, content,toolCalls, binaryImages));
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withMessage(OllamaChatMessageRole role, String content,List<OllamaChatToolCalls> toolCalls, String... imageUrls) {
+        List<OllamaChatMessage> messages = this.request.getMessages();
+        List<byte[]> binaryImages = null;
+        if (imageUrls.length > 0) {
+            binaryImages = new ArrayList<>();
+            for (String imageUrl : imageUrls) {
+                try {
+                    binaryImages.add(Utils.loadImageBytesFromUrl(imageUrl));
+                } catch (URISyntaxException e) {
+                    LOG.warn("URL '{}' could not be accessed, will not add to message!", imageUrl, e);
+                } catch (IOException e) {
+                    LOG.warn("Content of URL '{}' could not be read, will not add to message!", imageUrl, e);
+                }
+            }
+        }
+
+        messages.add(new OllamaChatMessage(role, content,toolCalls, binaryImages));
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withMessages(List<OllamaChatMessage> messages) {
+        return new OllamaChatRequestBuilder(request.getModel(), messages);
+    }
+
+    public OllamaChatRequestBuilder withOptions(Options options) {
+        this.request.setOptions(options.getOptionsMap());
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withGetJsonResponse() {
+        this.request.setReturnFormatJson(true);
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withTemplate(String template) {
+        this.request.setTemplate(template);
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withStreaming() {
+        this.request.setStream(true);
+        return this;
+    }
+
+    public OllamaChatRequestBuilder withKeepAlive(String keepAlive) {
+        this.request.setKeepAlive(keepAlive);
+        return this;
+    }
+
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatResponseModel.java

@@ -0,0 +1,23 @@
+package io.github.ollama4j.models.chat;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Data;
+
+import java.util.List;
+
+@Data
+public class OllamaChatResponseModel {
+    private String model;
+    private @JsonProperty("created_at") String createdAt;
+    private @JsonProperty("done_reason") String doneReason;
+    private OllamaChatMessage message;
+    private boolean done;
+    private String error;
+    private List<Integer> context;
+    private @JsonProperty("total_duration") Long totalDuration;
+    private @JsonProperty("load_duration") Long loadDuration;
+    private @JsonProperty("prompt_eval_duration") Long promptEvalDuration;
+    private @JsonProperty("eval_duration") Long evalDuration;
+    private @JsonProperty("prompt_eval_count") Integer promptEvalCount;
+    private @JsonProperty("eval_count") Integer evalCount;
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatResult.java

@@ -0,0 +1,55 @@
+package io.github.ollama4j.models.chat;
+
+import java.util.List;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import lombok.Getter;
+
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
+
+/**
+ * Specific chat-API result that contains the chat history sent to the model and appends the answer as {@link OllamaChatResult} given by the
+ * {@link OllamaChatMessageRole#ASSISTANT} role.
+ */
+@Getter
+public class OllamaChatResult {
+
+
+    private List<OllamaChatMessage> chatHistory;
+
+    private OllamaChatResponseModel responseModel;
+
+    public OllamaChatResult(OllamaChatResponseModel responseModel, List<OllamaChatMessage> chatHistory) {
+        this.chatHistory = chatHistory;
+        this.responseModel = responseModel;
+        appendAnswerToChatHistory(responseModel);
+    }
+
+    private void appendAnswerToChatHistory(OllamaChatResponseModel response) {
+        this.chatHistory.add(response.getMessage());
+    }
+
+    @Override
+    public String toString() {
+        try {
+            return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+        } catch (JsonProcessingException e) {
+            throw new RuntimeException(e);
+        }
+    }
+
+    @Deprecated
+    public String getResponse(){
+        return responseModel != null ? responseModel.getMessage().getContent() : "";
+    }
+
+    @Deprecated
+    public int getHttpStatusCode(){
+        return 200;
+    }
+
+    @Deprecated
+    public long getResponseTime(){
+        return responseModel != null ? responseModel.getTotalDuration() : 0L;
+    }
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatStreamObserver.java

@@ -0,0 +1,19 @@
+package io.github.ollama4j.models.chat;
+
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+import io.github.ollama4j.models.generate.OllamaTokenHandler;
+import lombok.RequiredArgsConstructor;
+
+@RequiredArgsConstructor
+public class OllamaChatStreamObserver implements OllamaTokenHandler {
+    private final OllamaStreamHandler streamHandler;
+    private String message = "";
+
+    @Override
+    public void accept(OllamaChatResponseModel token) {
+        if (streamHandler != null) {
+            message += token.getMessage().getContent();
+            streamHandler.accept(message);
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/chat/OllamaChatToolCalls.java

@@ -0,0 +1,16 @@
+package io.github.ollama4j.models.chat;
+
+import io.github.ollama4j.tools.OllamaToolCallsFunction;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@NoArgsConstructor
+@AllArgsConstructor
+public class OllamaChatToolCalls {
+
+    private OllamaToolCallsFunction function;
+
+
+}

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbedRequestBuilder.java

@@ -0,0 +1,40 @@
+package io.github.ollama4j.models.embeddings;
+
+import io.github.ollama4j.utils.Options;
+
+import java.util.List;
+
+/**
+ * Builder class to easily create Requests for Embedding models using ollama.
+ */
+public class OllamaEmbedRequestBuilder {
+
+    private final OllamaEmbedRequestModel request;
+
+    private OllamaEmbedRequestBuilder(String model, List<String> input) {
+        this.request = new OllamaEmbedRequestModel(model,input);
+    }
+
+    public static OllamaEmbedRequestBuilder getInstance(String model, String... input){
+        return new OllamaEmbedRequestBuilder(model, List.of(input));
+    }
+
+    public OllamaEmbedRequestBuilder withOptions(Options options){
+        this.request.setOptions(options.getOptionsMap());
+        return this;
+    }
+
+    public OllamaEmbedRequestBuilder withKeepAlive(String keepAlive){
+        this.request.setKeepAlive(keepAlive);
+        return this;
+    }
+
+    public OllamaEmbedRequestBuilder withoutTruncate(){
+        this.request.setTruncate(false);
+        return this;
+    }
+
+    public OllamaEmbedRequestModel build() {
+        return this.request;
+    }
+}

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbedRequestModel.java

@@ -0,0 +1,41 @@
+package io.github.ollama4j.models.embeddings;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import lombok.NonNull;
+import lombok.RequiredArgsConstructor;
+
+import java.util.List;
+import java.util.Map;
+
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
+
+@Data
+@RequiredArgsConstructor
+@NoArgsConstructor
+public class OllamaEmbedRequestModel {
+    @NonNull
+    private String model;
+
+    @NonNull
+    private List<String> input;
+
+    private Map<String, Object> options;
+
+    @JsonProperty(value = "keep_alive")
+    private String keepAlive;
+
+    @JsonProperty(value = "truncate")
+    private Boolean truncate = true;
+
+    @Override
+    public String toString() {
+        try {
+            return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+        } catch (JsonProcessingException e) {
+            throw new RuntimeException(e);
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbedResponseModel.java

@@ -0,0 +1,25 @@
+package io.github.ollama4j.models.embeddings;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Data;
+
+import java.util.List;
+
+@SuppressWarnings("unused")
+@Data
+public class OllamaEmbedResponseModel {
+    @JsonProperty("model")
+    private String model;
+
+    @JsonProperty("embeddings")
+    private List<List<Double>> embeddings;
+
+    @JsonProperty("total_duration")
+    private long totalDuration;
+
+    @JsonProperty("load_duration")
+    private long loadDuration;
+
+    @JsonProperty("prompt_eval_count")
+    private int promptEvalCount;
+}

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbeddingResponseModel.java

@@ -1,4 +1,4 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.embeddings;
 
 import com.fasterxml.jackson.annotation.JsonProperty;
 
@@ -7,7 +7,8 @@ import lombok.Data;
 
 @SuppressWarnings("unused")
 @Data
-public class EmbeddingResponse {
+@Deprecated(since="1.0.90")
+public class OllamaEmbeddingResponseModel {
     @JsonProperty("embedding")
     private List<Double> embedding;
 }

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbeddingsRequestBuilder.java

@@ -0,0 +1,32 @@
+package io.github.ollama4j.models.embeddings;
+
+import io.github.ollama4j.utils.Options;
+
+@Deprecated(since="1.0.90")
+public class OllamaEmbeddingsRequestBuilder {
+
+    private OllamaEmbeddingsRequestBuilder(String model, String prompt){
+        request = new OllamaEmbeddingsRequestModel(model, prompt);
+    }
+
+    private OllamaEmbeddingsRequestModel request;
+
+    public static OllamaEmbeddingsRequestBuilder getInstance(String model, String prompt){
+        return new OllamaEmbeddingsRequestBuilder(model, prompt);
+    }
+
+    public OllamaEmbeddingsRequestModel build(){
+        return request;
+    }
+
+    public OllamaEmbeddingsRequestBuilder withOptions(Options options){
+        this.request.setOptions(options.getOptionsMap());
+        return this;
+    }
+
+    public OllamaEmbeddingsRequestBuilder withKeepAlive(String keepAlive){
+        this.request.setKeepAlive(keepAlive);
+        return this;
+    }
+
+}

src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbeddingsRequestModel.java

@@ -0,0 +1,34 @@
+package io.github.ollama4j.models.embeddings;
+
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
+import java.util.Map;
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+import lombok.NonNull;
+import lombok.RequiredArgsConstructor;
+
+@Data
+@RequiredArgsConstructor
+@NoArgsConstructor
+@Deprecated(since="1.0.90")
+public class OllamaEmbeddingsRequestModel {
+  @NonNull
+  private String model;
+  @NonNull
+  private String prompt;
+
+  protected Map<String, Object> options;
+  @JsonProperty(value = "keep_alive")
+  private String keepAlive;
+
+  @Override
+  public String toString() {
+    try {
+      return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
+}

src/main/java/io/github/ollama4j/models/generate/OllamaGenerateRequest.java

@@ -0,0 +1,46 @@
+package io.github.ollama4j.models.generate;
+
+
+import io.github.ollama4j.models.request.OllamaCommonRequest;
+import io.github.ollama4j.utils.OllamaRequestBody;
+
+import java.util.List;
+
+import lombok.Getter;
+import lombok.Setter;
+
+@Getter
+@Setter
+public class OllamaGenerateRequest extends OllamaCommonRequest implements OllamaRequestBody{
+
+  private String prompt;
+  private List<String> images;
+
+  private String system;
+  private String context;
+  private boolean raw;
+
+  public OllamaGenerateRequest() {
+  }
+
+  public OllamaGenerateRequest(String model, String prompt) {
+    this.model = model;
+    this.prompt = prompt;
+  }
+
+  public OllamaGenerateRequest(String model, String prompt, List<String> images) {
+    this.model = model;
+    this.prompt = prompt;
+    this.images = images;
+  }
+
+    @Override
+  public boolean equals(Object o) {
+    if (!(o instanceof OllamaGenerateRequest)) {
+      return false;
+    }
+
+    return this.toString().equals(o.toString());
+  }
+
+}

src/main/java/io/github/ollama4j/models/generate/OllamaGenerateRequestBuilder.java

@@ -0,0 +1,55 @@
+package io.github.ollama4j.models.generate;
+
+import io.github.ollama4j.utils.Options;
+
+/**
+ * Helper class for creating {@link OllamaGenerateRequest}
+ * objects using the builder-pattern.
+ */
+public class OllamaGenerateRequestBuilder {
+
+    private OllamaGenerateRequestBuilder(String model, String prompt){
+        request = new OllamaGenerateRequest(model, prompt);
+    }
+
+    private OllamaGenerateRequest request;
+
+    public static OllamaGenerateRequestBuilder getInstance(String model){
+        return new OllamaGenerateRequestBuilder(model,"");
+    }
+
+    public OllamaGenerateRequest build(){
+        return request;
+    }
+
+    public OllamaGenerateRequestBuilder withPrompt(String prompt){
+        request.setPrompt(prompt);
+        return this;
+    }
+    
+    public OllamaGenerateRequestBuilder withGetJsonResponse(){
+        this.request.setReturnFormatJson(true);
+        return this;
+    }
+
+    public OllamaGenerateRequestBuilder withOptions(Options options){
+        this.request.setOptions(options.getOptionsMap());
+        return this;
+    }
+
+    public OllamaGenerateRequestBuilder withTemplate(String template){
+        this.request.setTemplate(template);
+        return this;
+    }
+
+    public OllamaGenerateRequestBuilder withStreaming(){
+        this.request.setStream(true);
+        return this;
+    }
+
+    public OllamaGenerateRequestBuilder withKeepAlive(String keepAlive){
+        this.request.setKeepAlive(keepAlive);
+        return this;
+    }
+
+}

src/main/java/io/github/ollama4j/models/generate/OllamaGenerateResponseModel.java

@@ -1,4 +1,4 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.generate;
 
 import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
 import com.fasterxml.jackson.annotation.JsonProperty;
@@ -8,7 +8,7 @@ import lombok.Data;
 
 @Data
 @JsonIgnoreProperties(ignoreUnknown = true)
-public class OllamaResponseModel {
+public class OllamaGenerateResponseModel {
     private String model;
     private @JsonProperty("created_at") String createdAt;
     private String response;

src/main/java/io/github/ollama4j/models/generate/OllamaGenerateStreamObserver.java

@@ -0,0 +1,29 @@
+package io.github.ollama4j.models.generate;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class OllamaGenerateStreamObserver {
+
+    private OllamaStreamHandler streamHandler;
+
+    private List<OllamaGenerateResponseModel> responseParts = new ArrayList<>();
+
+    private String message = "";
+
+    public OllamaGenerateStreamObserver(OllamaStreamHandler streamHandler) {
+        this.streamHandler = streamHandler;
+    }
+
+    public void notify(OllamaGenerateResponseModel currentResponsePart) {
+        responseParts.add(currentResponsePart);
+        handleCurrentResponsePart(currentResponsePart);
+    }
+
+    protected void handleCurrentResponsePart(OllamaGenerateResponseModel currentResponsePart) {
+        message = message + currentResponsePart.getResponse();
+        streamHandler.accept(message);
+    }
+
+
+}

src/main/java/io/github/ollama4j/models/generate/OllamaStreamHandler.java

@@ -0,0 +1,7 @@
+package io.github.ollama4j.models.generate;
+
+import java.util.function.Consumer;
+
+public interface OllamaStreamHandler extends Consumer<String> {
+    void accept(String message);
+}

src/main/java/io/github/ollama4j/models/generate/OllamaTokenHandler.java

@@ -0,0 +1,8 @@
+package io.github.ollama4j.models.generate;
+
+import io.github.ollama4j.models.chat.OllamaChatResponseModel;
+
+import java.util.function.Consumer;
+
+public interface OllamaTokenHandler extends Consumer<OllamaChatResponseModel> {
+}

src/main/java/io/github/ollama4j/models/ps/ModelsProcessResponse.java

@@ -0,0 +1,63 @@
+package io.github.ollama4j.models.ps;
+
+import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.util.List;
+
+@Data
+@NoArgsConstructor
+@JsonIgnoreProperties(ignoreUnknown = true)
+public class ModelsProcessResponse {
+    @JsonProperty("models")
+    private List<ModelProcess> models;
+
+    @Data
+    @NoArgsConstructor
+    public static class ModelProcess {
+        @JsonProperty("name")
+        private String name;
+
+        @JsonProperty("model")
+        private String model;
+
+        @JsonProperty("size")
+        private long size;
+
+        @JsonProperty("digest")
+        private String digest;
+
+        @JsonProperty("details")
+        private ModelDetails details;
+
+        @JsonProperty("expires_at")
+        private String expiresAt; // Consider using LocalDateTime if you need to process date/time
+
+        @JsonProperty("size_vram")
+        private long sizeVram;
+    }
+
+    @Data
+    @NoArgsConstructor
+    public static class ModelDetails {
+        @JsonProperty("parent_model")
+        private String parentModel;
+
+        @JsonProperty("format")
+        private String format;
+
+        @JsonProperty("family")
+        private String family;
+
+        @JsonProperty("families")
+        private List<String> families;
+
+        @JsonProperty("parameter_size")
+        private String parameterSize;
+
+        @JsonProperty("quantization_level")
+        private String quantizationLevel;
+    }
+}

src/main/java/io/github/ollama4j/models/request/BasicAuth.java

@@ -1,4 +1,4 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.request;
 
 import lombok.AllArgsConstructor;
 import lombok.Data;

src/main/java/io/github/ollama4j/models/request/CustomModelFileContentsRequest.java

@@ -1,6 +1,6 @@
-package io.github.amithkoujalgi.ollama4j.core.models.request;
+package io.github.ollama4j.models.request;
 
-import static io.github.amithkoujalgi.ollama4j.core.utils.Utils.getObjectMapper;
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
 
 import com.fasterxml.jackson.core.JsonProcessingException;
 import lombok.AllArgsConstructor;

src/main/java/io/github/ollama4j/models/request/CustomModelFilePathRequest.java

@@ -1,6 +1,6 @@
-package io.github.amithkoujalgi.ollama4j.core.models.request;
+package io.github.ollama4j.models.request;
 
-import static io.github.amithkoujalgi.ollama4j.core.utils.Utils.getObjectMapper;
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
 
 import com.fasterxml.jackson.core.JsonProcessingException;
 import lombok.AllArgsConstructor;

src/main/java/io/github/ollama4j/models/request/CustomModelRequest.java

@@ -0,0 +1,45 @@
+package io.github.ollama4j.models.request;
+
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import lombok.Data;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+
+import java.util.List;
+import java.util.Map;
+
+
+@Data
+@AllArgsConstructor
+@Builder
+public class CustomModelRequest {
+    private String model;
+    private String from;
+    private Map<String, String> files;
+    private Map<String, String> adapters;
+    private String template;
+    private Object license; // Using Object to handle both String and List<String>
+    private String system;
+    private Map<String, Object> parameters;
+    private List<Object> messages;
+    private Boolean stream;
+    private Boolean quantize;
+
+    public CustomModelRequest() {
+        this.stream = true;
+        this.quantize = false;
+    }
+
+    @Override
+    public String toString() {
+        try {
+            return getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+        } catch (JsonProcessingException e) {
+            throw new RuntimeException(e);
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/request/ModelRequest.java

@@ -1,6 +1,6 @@
-package io.github.amithkoujalgi.ollama4j.core.models.request;
+package io.github.ollama4j.models.request;
 
-import static io.github.amithkoujalgi.ollama4j.core.utils.Utils.getObjectMapper;
+import static io.github.ollama4j.utils.Utils.getObjectMapper;
 
 import com.fasterxml.jackson.core.JsonProcessingException;
 import lombok.AllArgsConstructor;

src/main/java/io/github/ollama4j/models/request/OllamaChatEndpointCaller.java

@@ -0,0 +1,144 @@
+package io.github.ollama4j.models.request;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.core.type.TypeReference;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.models.chat.*;
+import io.github.ollama4j.models.generate.OllamaTokenHandler;
+import io.github.ollama4j.models.response.OllamaErrorResponse;
+import io.github.ollama4j.utils.Utils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URI;
+import java.net.http.HttpClient;
+import java.net.http.HttpRequest;
+import java.net.http.HttpResponse;
+import java.nio.charset.StandardCharsets;
+import java.util.List;
+
+/**
+ * Specialization class for requests
+ */
+public class OllamaChatEndpointCaller extends OllamaEndpointCaller {
+
+    private static final Logger LOG = LoggerFactory.getLogger(OllamaChatEndpointCaller.class);
+
+    private OllamaTokenHandler tokenHandler;
+
+    public OllamaChatEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
+        super(host, basicAuth, requestTimeoutSeconds, verbose);
+    }
+
+    @Override
+    protected String getEndpointSuffix() {
+        return "/api/chat";
+    }
+
+    /**
+     * Parses streamed Response line from ollama chat.
+     * Using {@link com.fasterxml.jackson.databind.ObjectMapper#readValue(String, TypeReference)} should throw
+     * {@link IllegalArgumentException} in case of null line or {@link com.fasterxml.jackson.core.JsonParseException}
+     * in case the JSON Object cannot be parsed to a {@link OllamaChatResponseModel}. Thus, the ResponseModel should
+     * never be null.
+     *
+     * @param line streamed line of ollama stream response
+     * @param responseBuffer Stringbuffer to add latest response message part to
+     * @return TRUE, if ollama-Response has 'done' state
+     */
+    @Override
+    protected boolean parseResponseAndAddToBuffer(String line, StringBuilder responseBuffer) {
+        try {
+            OllamaChatResponseModel ollamaResponseModel = Utils.getObjectMapper().readValue(line, OllamaChatResponseModel.class);
+            // it seems that under heavy load ollama responds with an empty chat message part in the streamed response
+            // thus, we null check the message and hope that the next streamed response has some message content again
+            OllamaChatMessage message = ollamaResponseModel.getMessage();
+            if(message != null) {
+                responseBuffer.append(message.getContent());
+                if (tokenHandler != null) {
+                    tokenHandler.accept(ollamaResponseModel);
+                }
+            }
+            return ollamaResponseModel.isDone();
+        } catch (JsonProcessingException e) {
+            LOG.error("Error parsing the Ollama chat response!", e);
+            return true;
+        }
+    }
+
+    public OllamaChatResult call(OllamaChatRequest body, OllamaTokenHandler tokenHandler)
+            throws OllamaBaseException, IOException, InterruptedException {
+        this.tokenHandler = tokenHandler;
+        return callSync(body);
+    }
+
+    public OllamaChatResult callSync(OllamaChatRequest body) throws OllamaBaseException, IOException, InterruptedException {
+        // Create Request
+        HttpClient httpClient = HttpClient.newHttpClient();
+        URI uri = URI.create(getHost() + getEndpointSuffix());
+        HttpRequest.Builder requestBuilder =
+                getRequestBuilderDefault(uri)
+                        .POST(
+                                body.getBodyPublisher());
+        HttpRequest request = requestBuilder.build();
+        if (isVerbose()) LOG.info("Asking model: " + body);
+        HttpResponse<InputStream> response =
+                httpClient.send(request, HttpResponse.BodyHandlers.ofInputStream());
+
+        int statusCode = response.statusCode();
+        InputStream responseBodyStream = response.body();
+        StringBuilder responseBuffer = new StringBuilder();
+        OllamaChatResponseModel ollamaChatResponseModel = null;
+        List<OllamaChatToolCalls> wantedToolsForStream = null;
+        try (BufferedReader reader =
+                     new BufferedReader(new InputStreamReader(responseBodyStream, StandardCharsets.UTF_8))) {
+
+            String line;
+            while ((line = reader.readLine()) != null) {
+                if (statusCode == 404) {
+                    LOG.warn("Status code: 404 (Not Found)");
+                    OllamaErrorResponse ollamaResponseModel =
+                            Utils.getObjectMapper().readValue(line, OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else if (statusCode == 401) {
+                    LOG.warn("Status code: 401 (Unauthorized)");
+                    OllamaErrorResponse ollamaResponseModel =
+                            Utils.getObjectMapper()
+                                    .readValue("{\"error\":\"Unauthorized\"}", OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else if (statusCode == 400) {
+                    LOG.warn("Status code: 400 (Bad Request)");
+                    OllamaErrorResponse ollamaResponseModel = Utils.getObjectMapper().readValue(line,
+                            OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else {
+                    boolean finished = parseResponseAndAddToBuffer(line, responseBuffer);
+                        ollamaChatResponseModel = Utils.getObjectMapper().readValue(line, OllamaChatResponseModel.class);
+                    if(body.stream && ollamaChatResponseModel.getMessage().getToolCalls() != null){
+                        wantedToolsForStream = ollamaChatResponseModel.getMessage().getToolCalls();
+                    }
+                    if (finished && body.stream) {
+                        ollamaChatResponseModel.getMessage().setContent(responseBuffer.toString());
+                        break;
+                    }
+                }
+            }
+        }
+        if (statusCode != 200) {
+            LOG.error("Status code " + statusCode);
+            throw new OllamaBaseException(responseBuffer.toString());
+        } else {
+            if(wantedToolsForStream != null) {
+                ollamaChatResponseModel.getMessage().setToolCalls(wantedToolsForStream);
+            }
+            OllamaChatResult ollamaResult =
+                    new OllamaChatResult(ollamaChatResponseModel,body.getMessages());
+            if (isVerbose()) LOG.info("Model response: " + ollamaResult);
+            return ollamaResult;
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/request/OllamaCommonRequest.java

@@ -0,0 +1,35 @@
+package io.github.ollama4j.models.request;
+
+import java.util.Map;
+import com.fasterxml.jackson.annotation.JsonInclude;
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.annotation.JsonSerialize;
+
+import io.github.ollama4j.utils.BooleanToJsonFormatFlagSerializer;
+import io.github.ollama4j.utils.Utils;
+import lombok.Data;
+
+@Data
+@JsonInclude(JsonInclude.Include.NON_NULL)
+public abstract class OllamaCommonRequest {
+  
+  protected String model;  
+  @JsonSerialize(using = BooleanToJsonFormatFlagSerializer.class)
+  @JsonProperty(value = "format")
+  protected Boolean returnFormatJson;
+  protected Map<String, Object> options;
+  protected String template;
+  protected boolean stream;
+  @JsonProperty(value = "keep_alive")
+  protected String keepAlive;
+
+  
+  public String toString() {
+    try {
+      return Utils.getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
+}

src/main/java/io/github/ollama4j/models/request/OllamaEndpointCaller.java

@@ -0,0 +1,86 @@
+package io.github.ollama4j.models.request;
+
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.models.response.OllamaErrorResponse;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.utils.OllamaRequestBody;
+import io.github.ollama4j.utils.Utils;
+import lombok.Getter;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URI;
+import java.net.http.HttpClient;
+import java.net.http.HttpRequest;
+import java.net.http.HttpResponse;
+import java.nio.charset.StandardCharsets;
+import java.time.Duration;
+import java.util.Base64;
+
+/**
+ * Abstract helperclass to call the ollama api server.
+ */
+@Getter
+public abstract class OllamaEndpointCaller {
+
+    private static final Logger LOG = LoggerFactory.getLogger(OllamaAPI.class);
+
+    private final String host;
+    private final BasicAuth basicAuth;
+    private final long requestTimeoutSeconds;
+    private final boolean verbose;
+
+    public OllamaEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
+        this.host = host;
+        this.basicAuth = basicAuth;
+        this.requestTimeoutSeconds = requestTimeoutSeconds;
+        this.verbose = verbose;
+    }
+
+    protected abstract String getEndpointSuffix();
+
+    protected abstract boolean parseResponseAndAddToBuffer(String line, StringBuilder responseBuffer);
+
+
+    /**
+     * Get default request builder.
+     *
+     * @param uri URI to get a HttpRequest.Builder
+     * @return HttpRequest.Builder
+     */
+    protected HttpRequest.Builder getRequestBuilderDefault(URI uri) {
+        HttpRequest.Builder requestBuilder =
+                HttpRequest.newBuilder(uri)
+                        .header("Content-Type", "application/json")
+                        .timeout(Duration.ofSeconds(this.requestTimeoutSeconds));
+        if (isBasicAuthCredentialsSet()) {
+            requestBuilder.header("Authorization", getBasicAuthHeaderValue());
+        }
+        return requestBuilder;
+    }
+
+    /**
+     * Get basic authentication header value.
+     *
+     * @return basic authentication header value (encoded credentials)
+     */
+    protected String getBasicAuthHeaderValue() {
+        String credentialsToEncode = this.basicAuth.getUsername() + ":" + this.basicAuth.getPassword();
+        return "Basic " + Base64.getEncoder().encodeToString(credentialsToEncode.getBytes());
+    }
+
+    /**
+     * Check if Basic Auth credentials set.
+     *
+     * @return true when Basic Auth credentials set
+     */
+    protected boolean isBasicAuthCredentialsSet() {
+        return this.basicAuth != null;
+    }
+
+}

src/main/java/io/github/ollama4j/models/request/OllamaGenerateEndpointCaller.java

@@ -0,0 +1,127 @@
+package io.github.ollama4j.models.request;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.models.response.OllamaErrorResponse;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.models.generate.OllamaGenerateResponseModel;
+import io.github.ollama4j.models.generate.OllamaGenerateStreamObserver;
+import io.github.ollama4j.models.generate.OllamaStreamHandler;
+import io.github.ollama4j.utils.OllamaRequestBody;
+import io.github.ollama4j.utils.Utils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URI;
+import java.net.http.HttpClient;
+import java.net.http.HttpRequest;
+import java.net.http.HttpResponse;
+import java.nio.charset.StandardCharsets;
+
+public class OllamaGenerateEndpointCaller extends OllamaEndpointCaller {
+
+    private static final Logger LOG = LoggerFactory.getLogger(OllamaGenerateEndpointCaller.class);
+
+    private OllamaGenerateStreamObserver streamObserver;
+
+    public OllamaGenerateEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
+        super(host, basicAuth, requestTimeoutSeconds, verbose);
+    }
+
+    @Override
+    protected String getEndpointSuffix() {
+        return "/api/generate";
+    }
+
+    @Override
+    protected boolean parseResponseAndAddToBuffer(String line, StringBuilder responseBuffer) {
+        try {
+            OllamaGenerateResponseModel ollamaResponseModel = Utils.getObjectMapper().readValue(line, OllamaGenerateResponseModel.class);
+            responseBuffer.append(ollamaResponseModel.getResponse());
+            if (streamObserver != null) {
+                streamObserver.notify(ollamaResponseModel);
+            }
+            return ollamaResponseModel.isDone();
+        } catch (JsonProcessingException e) {
+            LOG.error("Error parsing the Ollama chat response!", e);
+            return true;
+        }
+    }
+
+    public OllamaResult call(OllamaRequestBody body, OllamaStreamHandler streamHandler)
+            throws OllamaBaseException, IOException, InterruptedException {
+        streamObserver = new OllamaGenerateStreamObserver(streamHandler);
+        return callSync(body);
+    }
+
+    /**
+     * Calls the api server on the given host and endpoint suffix asynchronously, aka waiting for the response.
+     *
+     * @param body POST body payload
+     * @return result answer given by the assistant
+     * @throws OllamaBaseException  any response code than 200 has been returned
+     * @throws IOException          in case the responseStream can not be read
+     * @throws InterruptedException in case the server is not reachable or network issues happen
+     */
+    public OllamaResult callSync(OllamaRequestBody body) throws OllamaBaseException, IOException, InterruptedException {
+        // Create Request
+        long startTime = System.currentTimeMillis();
+        HttpClient httpClient = HttpClient.newHttpClient();
+        URI uri = URI.create(getHost() + getEndpointSuffix());
+        HttpRequest.Builder requestBuilder =
+                getRequestBuilderDefault(uri)
+                        .POST(
+                                body.getBodyPublisher());
+        HttpRequest request = requestBuilder.build();
+        if (isVerbose()) LOG.info("Asking model: " + body.toString());
+        HttpResponse<InputStream> response =
+                httpClient.send(request, HttpResponse.BodyHandlers.ofInputStream());
+
+        int statusCode = response.statusCode();
+        InputStream responseBodyStream = response.body();
+        StringBuilder responseBuffer = new StringBuilder();
+        try (BufferedReader reader =
+                     new BufferedReader(new InputStreamReader(responseBodyStream, StandardCharsets.UTF_8))) {
+            String line;
+            while ((line = reader.readLine()) != null) {
+                if (statusCode == 404) {
+                    LOG.warn("Status code: 404 (Not Found)");
+                    OllamaErrorResponse ollamaResponseModel =
+                            Utils.getObjectMapper().readValue(line, OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else if (statusCode == 401) {
+                    LOG.warn("Status code: 401 (Unauthorized)");
+                    OllamaErrorResponse ollamaResponseModel =
+                            Utils.getObjectMapper()
+                                    .readValue("{\"error\":\"Unauthorized\"}", OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else if (statusCode == 400) {
+                    LOG.warn("Status code: 400 (Bad Request)");
+                    OllamaErrorResponse ollamaResponseModel = Utils.getObjectMapper().readValue(line,
+                            OllamaErrorResponse.class);
+                    responseBuffer.append(ollamaResponseModel.getError());
+                } else {
+                    boolean finished = parseResponseAndAddToBuffer(line, responseBuffer);
+                    if (finished) {
+                        break;
+                    }
+                }
+            }
+        }
+
+        if (statusCode != 200) {
+            LOG.error("Status code " + statusCode);
+            throw new OllamaBaseException(responseBuffer.toString());
+        } else {
+            long endTime = System.currentTimeMillis();
+            OllamaResult ollamaResult =
+                    new OllamaResult(responseBuffer.toString().trim(), endTime - startTime, statusCode);
+            if (isVerbose()) LOG.info("Model response: " + ollamaResult);
+            return ollamaResult;
+        }
+    }
+}

src/main/java/io/github/ollama4j/models/response/LibraryModel.java

@@ -0,0 +1,16 @@
+package io.github.ollama4j.models.response;
+import java.util.ArrayList;
+import java.util.List;
+
+import lombok.Data;
+
+@Data
+public class LibraryModel {
+
+    private String name;
+    private String description;
+    private String pullCount;
+    private int totalTags;
+    private List<String> popularTags = new ArrayList<>();
+    private String lastUpdated;
+}

src/main/java/io/github/ollama4j/models/response/LibraryModelDetail.java

@@ -0,0 +1,12 @@
+package io.github.ollama4j.models.response;
+
+import lombok.Data;
+
+import java.util.List;
+
+@Data
+public class LibraryModelDetail {
+
+    private LibraryModel model;
+    private List<LibraryModelTag> tags;
+}

src/main/java/io/github/ollama4j/models/response/LibraryModelTag.java

@@ -0,0 +1,13 @@
+package io.github.ollama4j.models.response;
+
+import lombok.Data;
+
+import java.util.List;
+
+@Data
+public class LibraryModelTag {
+    private String name;
+    private String tag;
+    private String size;
+    private String lastUpdated;
+}

src/main/java/io/github/ollama4j/models/response/ListModelsResponse.java

@@ -1,6 +1,7 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.response;
 
 import java.util.List;
+
 import lombok.Data;
 
 @Data

src/main/java/io/github/ollama4j/models/response/Model.java

@@ -1,14 +1,21 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.response;
+
+import java.time.OffsetDateTime;
 
 import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import io.github.ollama4j.utils.Utils;
 import lombok.Data;
 
 @Data
 public class Model {
 
   private String name;
+  private String model;
   @JsonProperty("modified_at")
-  private String modifiedAt;
+  private OffsetDateTime modifiedAt;
+  @JsonProperty("expires_at")
+  private OffsetDateTime expiresAt;
   private String digest;
   private long size;
   @JsonProperty("details")
@@ -33,4 +40,13 @@ public class Model {
     return name.split(":")[1];
   }
 
+    @Override
+  public String toString() {
+    try {
+      return Utils.getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
+
 }

src/main/java/io/github/ollama4j/models/response/ModelDetail.java

@@ -0,0 +1,30 @@
+package io.github.ollama4j.models.response;
+
+import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import io.github.ollama4j.utils.Utils;
+import lombok.Data;
+
+@Data
+@JsonIgnoreProperties(ignoreUnknown = true)
+public class ModelDetail {
+  private String license;
+
+  @JsonProperty("modelfile")
+  private String modelFile;
+
+  private String parameters;
+  private String template;
+  private String system;
+  private ModelMeta details;
+
+    @Override
+  public String toString() {
+    try {
+      return Utils.getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
+}

src/main/java/io/github/ollama4j/models/response/ModelMeta.java

@@ -1,7 +1,9 @@
-package io.github.amithkoujalgi.ollama4j.core.models;
+package io.github.ollama4j.models.response;
 
 import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
 import com.fasterxml.jackson.annotation.JsonProperty;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import io.github.ollama4j.utils.Utils;
 import lombok.Data;
 
 @Data
@@ -21,4 +23,13 @@ public class ModelMeta {
 
   @JsonProperty("quantization_level")
   private String quantizationLevel;
+
+    @Override
+  public String toString() {
+    try {
+      return Utils.getObjectMapper().writerWithDefaultPrettyPrinter().writeValueAsString(this);
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+  }
 }