Merge pull request #107 from ollama4j/integration-tests-updates

test
Updated integration tests
2025-10-27 14:40:42 +01:00 · 2025-03-18 23:29:21 +05:30 · 2025-03-18 23:18:42 +05:30 · 2025-03-18 23:07:19 +05:30 · 2025-03-18 22:54:56 +05:30 · 2025-03-18 22:33:29 +05:30
31 changed files with 1699 additions and 1160 deletions
--- a/.github/workflows/build-and-test-on-pr-open.yml
+++ b/.github/workflows/build-and-test-on-pr-open.yml
@@ -1,21 +1,20 @@
-# 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: Build on PR Create
+name: Run Tests

 on:
  pull_request:
-    types: [ opened, reopened ]
+#    types: [opened, reopened, synchronize, edited]
    branches: [ "main" ]

+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  cancel-in-progress: true

 jobs:
-  build:
+  run-tests:

    runs-on: ubuntu-latest
    permissions:
      contents: read
-      packages: write

    steps:
      - uses: actions/checkout@v3
@@ -30,5 +29,8 @@ jobs:
      - name: Build with Maven
        run: mvn --file pom.xml -U clean package

-      - name: Run Tests
-        run: mvn --file pom.xml -U clean test -Punit-tests
+      - name: Run unit tests
+        run: mvn --file pom.xml -U clean test -Punit-tests
+
+      - name: Run integration tests
+        run: mvn --file pom.xml -U clean verify -Pintegration-tests
--- a/.github/workflows/close-issue.yml
+++ b/.github/workflows/close-issue.yml
@@ -1,29 +0,0 @@
-name: Close inactive issues
-on:
-  workflow_dispatch: # for manual run
-  schedule:
-    - cron: "0 0 * * *" # Runs daily at midnight
-
-# Fine-grant permission
-# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
-permissions:
-  issues: write
-
-jobs:
-  close-issues:
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-      pull-requests: write
-    steps:
-      - uses: actions/stale@v5
-        with:
-          exempt-issue-labels: "refactor,help wanted,good first issue,research,bug"
-          days-before-issue-stale: 7  # Issues become stale after 7 days
-          days-before-issue-close: 15 # Issues close 15 days after being marked stale
-          stale-issue-label: "stale"
-          close-issue-message: "This issue was closed because it has been inactive for 15 days since being marked as stale."
-          days-before-pr-stale: -1 # PRs are not handled
-          days-before-pr-close: -1 # PRs are not handled
-          operations-per-run: 10000
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
--- a/.github/workflows/label-issue-stale.yml
+++ b/.github/workflows/label-issue-stale.yml
@@ -1,4 +1,4 @@
-name: Mark stale issues and pull requests
+name: Mark stale issues

 on:
  workflow_dispatch: # for manual run
@@ -8,21 +8,17 @@ on:
 permissions:
  contents: write # only for delete-branch option
  issues: write
-  pull-requests: write

 jobs:
  stale:
    runs-on: ubuntu-latest
    steps:
-      - name: Mark stale issues and pull requests
+      - 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.'
-          stale-pr-message: 'This pull request 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'
-          stale-pr-label: 'stale'
-          exempt-pr-labels: 'work-in-progress'
--- a/.github/workflows/publish-docs.yml
+++ b/.github/workflows/publish-docs.yml
@@ -1,5 +1,5 @@
 # Simple workflow for deploying static content to GitHub Pages
-name: Deploy Docs to GH Pages
+name: Publish Docs to GH Pages

 on:
  release:
@@ -63,12 +63,12 @@ jobs:
          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
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-tests.yml
@@ -0,0 +1,35 @@
+name: Run Unit and Integration Tests
+
+on:
+#  push:
+#    branches:
+#      - main
+  workflow_dispatch:
+    inputs:
+      branch:
+        description: 'Branch name to run the tests on'
+        required: true
+        default: 'main'
+
+jobs:
+  run-tests:
+    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: ${{ github.workspace }}
+
+      - name: Run unit tests
+        run: mvn clean test -Punit-tests
+
+      - name: Run integration tests
+        run: mvn clean verify -Pintegration-tests
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,38 @@
+repos:
+
+  # pre-commit hooks
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: "v5.0.0"
+    hooks:
+      - id: no-commit-to-branch
+        args: ['--branch', 'main']
+      - id: check-merge-conflict
+      - id: check-added-large-files
+      - id: check-yaml
+      - id: check-xml
+      - id: check-json
+      - id: pretty-format-json
+        args: ['--no-sort-keys', '--autofix', '--indent=4']
+      - id: end-of-file-fixer
+        exclude: \.json$
+        files: \.java$|\.xml$
+      - id: trailing-whitespace
+      - id: mixed-line-ending
+
+  # for commit message formatting
+  - repo: https://github.com/commitizen-tools/commitizen
+    rev: v4.4.1
+    hooks:
+      - id: commitizen
+        stages: [commit-msg]
+
+#  # for java code quality
+#  - repo: https://github.com/gherynos/pre-commit-java
+#    rev: v0.6.10
+#    hooks:
+#      - id: pmd
+#        exclude: /test/
+#      - id: cpd
+#        exclude: /test/
+#      - id: checkstyle
+#        exclude: /test/
--- a/8
+++ b/8
@@ -1,3 +1,11 @@
+dev:
+	@echo "Setting up dev environment..."
+	@command -v pre-commit >/dev/null 2>&1 || { echo "Error: pre-commit is not installed. Please install it first."; exit 1; }
+	@command -v docker >/dev/null 2>&1 || { echo "Error: docker is not installed. Please install it first."; exit 1; }
+	pre-commit install
+	pre-commit autoupdate
+	pre-commit install --install-hooks
+
 build:
 	mvn -B clean install

--- a/README.md
+++ b/README.md
@@ -31,8 +31,11 @@ Find more details on the [website](https://ollama4j.github.io/ollama4j/).

 ![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)
+
+[![Run Unit and Integration Tests](https://github.com/ollama4j/ollama4j/actions/workflows/run-tests.yml/badge.svg)](https://github.com/ollama4j/ollama4j/actions/workflows/run-tests.yml)
 ![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;)
@@ -45,6 +48,7 @@ Find more details on the [website](https://ollama4j.github.io/ollama4j/).
 - [Requirements](#requirements)
 - [Installation](#installation)
 - [API Spec](https://ollama4j.github.io/ollama4j/category/apis---model-management)
+- [Examples](#examples)
 - [Javadoc](https://ollama4j.github.io/ollama4j/apidocs/)
 - [Development](#development)
 - [Contributions](#get-involved)
@@ -73,61 +77,6 @@ Find more details on the [website](https://ollama4j.github.io/ollama4j/).
  <img src="https://img.shields.io/badge/v0.3.0-green.svg?style=for-the-badge&labelColor=gray&label=Ollama&color=blue" alt=""/>
 </a>

-<table>
-<tr>
-<td> 
-
-<a href="https://ollama.ai/" target="_blank">Local Installation</a>
-
-</td> 
-
-<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]
@@ -153,7 +102,7 @@ In your Maven project, add this dependency:
 <dependency>
    <groupId>io.github.ollama4j</groupId>
    <artifactId>ollama4j</artifactId>
-    <version>1.0.89</version>
+    <version>1.0.93</version>
 </dependency>
 ```

@@ -209,7 +158,7 @@ In your Maven project, add this dependency:
 <dependency>
    <groupId>io.github.ollama4j</groupId>
    <artifactId>ollama4j</artifactId>
-    <version>1.0.89</version>
+    <version>1.0.93</version>
 </dependency>
 ```

@@ -219,7 +168,7 @@ In your Maven project, add this dependency:

 ```groovy
 dependencies {
-    implementation 'io.github.ollama4j:ollama4j:1.0.79'
+    implementation 'io.github.ollama4j:ollama4j:1.0.93'
 }
 ```

@@ -242,49 +191,77 @@ dependencies {
 > [!TIP]
 > Find the full API specifications on the [website](https://ollama4j.github.io/ollama4j/).

-#### Development
+### Development

-Build:
+Make sure you have `pre-commit` installed.
+
+With `brew`:
+
+```shell
+brew install pre-commit
+```
+
+With `pip`:
+
+```shell
+pip install pre-commit
+```
+
+#### Setup dev environment
+
+```shell
+make dev
+```
+
+#### Build

 ```shell
 make build
 ```

-Run unit tests:
+#### Run unit tests

 ```shell
 make unit-tests
 ```

-Run integration tests:
+#### Run integration tests
+
+Make sure you have Docker running as this uses [testcontainers](https://testcontainers.com/) to run the integration
+tests on Ollama Docker container.

 ```shell
 make integration-tests
 ```

-#### Releases
+### Releases

 Newer artifacts are published via GitHub Actions CI workflow when a new release is created from `main` branch.

+## Examples
+
+The `ollama4j-examples` repository contains examples for using the Ollama4j library. You can explore
+it [here](https://github.com/ollama4j/ollama4j-examples).
+
 ## ⭐ Give us a Star!

 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.

 ## Who's using Ollama4j?

-| # | 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/)     |                                                              
-
+| #  | 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                                                                                               | [Website](https://modrinth.com/mod/ai-player), [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/)                                                                |
+| 11 | Research Article  | Article: `Large language model based mutations in genetic improvement` - published on National Library of Medicine (National Center for Biotechnology Information) | [Website](https://pmc.ncbi.nlm.nih.gov/articles/PMC11750896/)                                                                                                                                 |

 ## Traction

@@ -351,7 +328,7 @@ project.
  </a>
 </p>

-### Appreciate my work?
+### Appreciate the 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>
--- a/docs/docs/apis-generate/chat.md
+++ b/docs/docs/apis-generate/chat.md
@@ -7,6 +7,8 @@ sidebar_position: 7
 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
@@ -269,4 +271,12 @@ You will get a response similar to:
 > 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.
+> confidently.
+
+
+[//]: # (Generated using: https://emgithub.com/)
+<iframe style={{ width: '100%', height: '919px', border: 'none' }} allow="clipboard-write" src="https://emgithub.com/iframe.html?target=https%3A%2F%2Fgithub.com%2Follama4j%2Follama4j-examples%2Fblob%2Fmain%2Fsrc%2Fmain%2Fjava%2Fio%2Fgithub%2Follama4j%2Fexamples%2FChatExample.java&style=default&type=code&showBorder=on&showLineNumbers=on&showFileMeta=on&showFullPath=on&showCopy=on" />
+
+<a href="https://github.com/ollama4j/ollama4j-examples/blob/main/src/main/java/io/github/ollama4j/examples/ChatExample.java" target="_blank">
+  View ChatExample.java on GitHub
+</a>
--- a/docs/docs/apis-model-management/create-model.md
+++ b/docs/docs/apis-model-management/create-model.md
@@ -6,7 +6,7 @@ sidebar_position: 5

 This API lets you create a custom model on the Ollama server.

-### Create a model from an existing Modelfile in the Ollama server
+### Create a custom model from an existing model in the Ollama server

 ```java title="CreateModel.java"
 import io.github.ollama4j.OllamaAPI;
@@ -19,144 +19,220 @@ public class CreateModel {

        OllamaAPI ollamaAPI = new OllamaAPI(host);

-        ollamaAPI.createModelWithFilePath("mario", "/path/to/mario/modelfile/on/ollama-server");
-    }
-}
-```
-
-### Create a model by passing the contents of Modelfile
-
-```java title="CreateModel.java"
-public class CreateModel {
-
-    public static void main(String[] args) {
-
-        String host = "http://localhost:11434/";
-
-        OllamaAPI ollamaAPI = new OllamaAPI(host);
-
-        ollamaAPI.createModelWithModelFileContents("mario", "FROM llama2\nSYSTEM You are mario from Super Mario Bros.");
+        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.

-### Example of a `Modelfile`
+[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.

-```
-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
+[//]: # ()
+[//]: # (### Example of a `Modelfile`)

-# 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`
+[//]: # (FROM llama2)

-```modelfile
-# comment
-INSTRUCTION arguments
-```
+[//]: # (# sets the temperature to 1 [higher is more creative, lower is more coherent])

-| 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 temperature 1)

-#### PARAMETER
+[//]: # (# sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token)

-The `PARAMETER` instruction defines a parameter that can be set when the model is run.
+[//]: # (PARAMETER num_ctx 4096)

-| 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            |
+[//]: # ()
+[//]: # (# sets a custom system message to specify the behavior of the chat assistant)

-#### TEMPLATE
+[//]: # (SYSTEM You are Mario from super mario bros, acting as an assistant.)

-`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
+[//]: # ()
+[//]: # (### Format of the `Modelfile`)

-| 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)

-```modelfile
-TEMPLATE """
-{{- if .First }}
-### System:
-{{ .System }}
-{{- end }}
+[//]: # (# comment)

-### User:
-{{ .Prompt }}
+[//]: # (INSTRUCTION arguments)

-### Response:
-"""
+[//]: # (```)

-SYSTEM """<system message>"""
-```
+[//]: # ()
+[//]: # (| Instruction                         | Description                                                    |)

-### SYSTEM
+[//]: # (|-------------------------------------|----------------------------------------------------------------|)

-The `SYSTEM` instruction specifies the system message to be used in the template, if applicable.
+[//]: # (| [`FROM`]&#40;#from-required&#41; &#40;required&#41; | Defines the base model to use.                                 |)

-```modelfile
-SYSTEM """<system message>"""
-```
+[//]: # (| [`PARAMETER`]&#40;#parameter&#41;           | Sets the parameters for how Ollama will run the model.         |)

-### ADAPTER
+[//]: # (| [`TEMPLATE`]&#40;#template&#41;             | The full prompt template to be sent to the model.              |)

-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.
+[//]: # (| [`SYSTEM`]&#40;#system&#41;                 | Specifies the system message that will be set in the template. |)

-```modelfile
-ADAPTER ./ollama-lora.bin
-```
+[//]: # (| [`ADAPTER`]&#40;#adapter&#41;               | Defines the &#40;Q&#41;LoRA adapters to apply to the model.            |)

-### LICENSE
+[//]: # (| [`LICENSE`]&#40;#license&#41;               | Specifies the legal license.                                   |)

-The `LICENSE` instruction allows you to specify the legal license under which the model used with this Modelfile is
-shared or distributed.
+[//]: # ()
+[//]: # (#### PARAMETER)

-```modelfile
-LICENSE """
-<license text>
-"""
-```
+[//]: # ()
+[//]: # (The `PARAMETER` instruction defines a parameter that can be set when the model is run.)

-## Notes
+[//]: # ()
+[//]: # (| Parameter      | Description                                                                                                                                                                                                                                             | Value Type | Example Usage        |)

- 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
+[//]: # (| mirostat       | Enable Mirostat sampling for controlling perplexity. &#40;default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0&#41;                                                                                                                                         | 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. &#40;Default: 0.1&#41;                        | 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. &#40;Default: 5.0&#41;                                                                                                         | float      | mirostat_tau 5.0     |)
+
+[//]: # (| num_ctx        | Sets the size of the context window used to generate the next token. &#40;Default: 2048&#41;                                                                                                                                                                    | 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&#40;s&#41;. 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 &#40;as opposed to the logical number of cores&#41;. | int        | num_thread 8         |)
+
+[//]: # (| repeat_last_n  | Sets how far back for the model to look back to prevent repetition. &#40;Default: 64, 0 = disabled, -1 = num_ctx&#41;                                                                                                                                           | int        | repeat_last_n 64     |)
+
+[//]: # (| repeat_penalty | Sets how strongly to penalize repetitions. A higher value &#40;e.g., 1.5&#41; will penalize repetitions more strongly, while a lower value &#40;e.g., 0.9&#41; will be more lenient. &#40;Default: 1.1&#41;                                                                     | float      | repeat_penalty 1.1   |)
+
+[//]: # (| temperature    | The temperature of the model. Increasing the temperature will make the model answer more creatively. &#40;Default: 0.8&#41;                                                                                                                                     | 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. &#40;Default: 0&#41;                                                                                       | 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 &#40;e.g., 2.0&#41; will reduce the impact more, while a value of 1.0 disables this setting. &#40;default: 1&#41;                                               | float      | tfs_z 1              |)
+
+[//]: # (| num_predict    | Maximum number of tokens to predict when generating text. &#40;Default: 128, -1 = infinite generation, -2 = fill context&#41;                                                                                                                                   | int        | num_predict 42       |)
+
+[//]: # (| top_k          | Reduces the probability of generating nonsense. A higher value &#40;e.g. 100&#41; will give more diverse answers, while a lower value &#40;e.g. 10&#41; will be more conservative. &#40;Default: 40&#41;                                                                        | int        | top_k 40             |)
+
+[//]: # (| top_p          | Works together with top-k. A higher value &#40;e.g., 0.95&#41; will lead to more diverse text, while a lower value &#40;e.g., 0.5&#41; will generate more focused and conservative text. &#40;Default: 0.9&#41;                                                                 | float      | top_p 0.9            |)
+
+[//]: # ()
+[//]: # (#### TEMPLATE)
+
+[//]: # ()
+[//]: # (`TEMPLATE` of the full prompt template to be passed into the model. It may include &#40;optionally&#41; 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)
--- a/docs/docusaurus.config.js
+++ b/docs/docusaurus.config.js
@@ -84,6 +84,7 @@ const config = {
                        position: 'left',
                        label: 'Docs',
                    },
+                    {to: 'https://github.com/ollama4j/ollama4j-examples', label: 'Examples', 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'},
@@ -106,6 +107,15 @@ const config = {
                            },
                        ],
                    },
+                    {
+                        title: 'Usage',
+                        items: [
+                            {
+                                label: 'Examples',
+                                to: 'https://github.com/ollama4j/ollama4j-examples',
+                            },
+                        ],
+                    },
                    {
                        title: 'Community',
                        items: [
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -4242,9 +4242,9 @@
      }
    },
    "node_modules/body-parser": {
-      "version": "1.20.2",
-      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.2.tgz",
-      "integrity": "sha512-ml9pReCu3M61kGlqoTm2umSXTlRTuGTx0bfYj+uIUKKYycG5NtSbeetV3faSU6R7ajOPw0g/J1PvK4qNy7s5bA==",
+      "version": "1.20.3",
+      "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.3.tgz",
+      "integrity": "sha512-7rAxByjUMqQ3/bHJy7D6OGXvx/MMc4IqBn/X0fcM1QUcAItpZrBEYhWGem+tzXH90c+G01ypMcYJBO9Y30203g==",
      "license": "MIT",
      "dependencies": {
        "bytes": "3.1.2",
@@ -4255,7 +4255,7 @@
        "http-errors": "2.0.0",
        "iconv-lite": "0.4.24",
        "on-finished": "2.4.1",
-        "qs": "6.11.0",
+        "qs": "6.13.0",
        "raw-body": "2.5.2",
        "type-is": "~1.6.18",
        "unpipe": "1.0.0"
@@ -4446,6 +4446,35 @@
        "url": "https://github.com/sponsors/ljharb"
      }
    },
+    "node_modules/call-bind-apply-helpers": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz",
+      "integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "function-bind": "^1.1.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
+    "node_modules/call-bound": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/call-bound/-/call-bound-1.0.4.tgz",
+      "integrity": "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bind-apply-helpers": "^1.0.2",
+        "get-intrinsic": "^1.3.0"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
    "node_modules/callsites": {
      "version": "3.1.0",
      "resolved": "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz",
@@ -4945,9 +4974,9 @@
      "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
    },
    "node_modules/cookie": {
-      "version": "0.6.0",
-      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.6.0.tgz",
-      "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==",
+      "version": "0.7.1",
+      "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.1.tgz",
+      "integrity": "sha512-6DnInpx7SJ2AK3+CTUE/ZM0vWTUboZCegxhC2xiIydHR9jNuTAASBrfEpHhiGOZw/nX51bHt6YQl8jsGo4y/0w==",
      "license": "MIT",
      "engines": {
        "node": ">= 0.6"
@@ -5103,9 +5132,10 @@
      }
    },
    "node_modules/cross-spawn": {
-      "version": "7.0.3",
-      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz",
-      "integrity": "sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==",
+      "version": "7.0.6",
+      "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz",
+      "integrity": "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==",
+      "license": "MIT",
      "dependencies": {
        "path-key": "^3.1.0",
        "shebang-command": "^2.0.0",
@@ -5419,30 +5449,6 @@
        "cytoscape": "^3.2.0"
      }
    },
-    "node_modules/cytoscape-fcose": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/cytoscape-fcose/-/cytoscape-fcose-2.2.0.tgz",
-      "integrity": "sha512-ki1/VuRIHFCzxWNrsshHYPs6L7TvLu3DL+TyIGEsRcvVERmxokbf5Gdk7mFxZnTdiGtnA4cfSmjZJMviqSuZrQ==",
-      "dependencies": {
-        "cose-base": "^2.2.0"
-      },
-      "peerDependencies": {
-        "cytoscape": "^3.2.0"
-      }
-    },
-    "node_modules/cytoscape-fcose/node_modules/cose-base": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/cose-base/-/cose-base-2.2.0.tgz",
-      "integrity": "sha512-AzlgcsCbUMymkADOJtQm3wO9S3ltPfYOFD5033keQn9NJzIbtnZj+UdBJe7DYml/8TdbtHJW3j58SOnKhWY/5g==",
-      "dependencies": {
-        "layout-base": "^2.0.0"
-      }
-    },
-    "node_modules/cytoscape-fcose/node_modules/layout-base": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/layout-base/-/layout-base-2.0.1.tgz",
-      "integrity": "sha512-dp3s92+uNI1hWIpPGH3jK2kxE2lMjdXdr+DH8ynZHpd6PUlH6x6cbuXnoMmiNumznqaNO31xu9e79F0uuZ0JFg=="
-    },
    "node_modules/d3": {
      "version": "7.8.5",
      "resolved": "https://registry.npmjs.org/d3/-/d3-7.8.5.tgz",
@@ -6048,6 +6054,7 @@
      "version": "2.0.0",
      "resolved": "https://registry.npmjs.org/depd/-/depd-2.0.0.tgz",
      "integrity": "sha512-g7nH6P6dyDioJogAAGprGpCtVImJhpPk/roCzdb3fIh61/s/nPsfR6onyMwkCAR/OlC3yBC0lESvUoQEAssIrw==",
+      "license": "MIT",
      "engines": {
        "node": ">= 0.8"
      }
@@ -6064,6 +6071,7 @@
      "version": "1.2.0",
      "resolved": "https://registry.npmjs.org/destroy/-/destroy-1.2.0.tgz",
      "integrity": "sha512-2sJGJTaXIIaR1w4iJSNoN0hnMY7Gpc/n8D4qSCJw8QqFWXf7cuAgnEHxBpweaVcPevC2l3KpjYCx3NypQQgaJg==",
+      "license": "MIT",
      "engines": {
        "node": ">= 0.8",
        "npm": "1.2.8000 || >= 1.4.16"
@@ -6210,9 +6218,10 @@
      }
    },
    "node_modules/dompurify": {
-      "version": "3.0.6",
-      "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.0.6.tgz",
-      "integrity": "sha512-ilkD8YEnnGh1zJ240uJsW7AzE+2qpbOUYjacomn3AvJ6J4JhKGSZ2nh4wUIXPZrEPppaCLx5jFe8T89Rk8tQ7w=="
+      "version": "3.1.6",
+      "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.1.6.tgz",
+      "integrity": "sha512-cTOAhc36AalkjtBpfG6O8JimdTMWNXjiePT2xQH/ppBGi/4uIpmj8eKyIkMJErXWARyINV/sB38yf8JCLF5pbQ==",
+      "license": "(MPL-2.0 OR Apache-2.0)"
    },
    "node_modules/domutils": {
      "version": "3.1.0",
@@ -6258,6 +6267,20 @@
        "node": ">=8"
      }
    },
+    "node_modules/dunder-proto": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz",
+      "integrity": "sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bind-apply-helpers": "^1.0.1",
+        "es-errors": "^1.3.0",
+        "gopd": "^1.2.0"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
    "node_modules/duplexer": {
      "version": "0.1.2",
      "resolved": "https://registry.npmjs.org/duplexer/-/duplexer-0.1.2.tgz",
@@ -6271,7 +6294,8 @@
    "node_modules/ee-first": {
      "version": "1.1.1",
      "resolved": "https://registry.npmjs.org/ee-first/-/ee-first-1.1.1.tgz",
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        "minimatch": "3.1.2",
        "path-is-inside": "1.0.2",
-        "path-to-regexp": "2.2.1",
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    "node_modules/serve-handler/node_modules/path-to-regexp": {
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+      "license": "MIT"
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    "node_modules/serve-index": {
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@@ -13933,14 +14036,15 @@
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+      "license": "MIT",
      "dependencies": {
-        "encodeurl": "~1.0.2",
+        "encodeurl": "~2.0.0",
        "escape-html": "~1.0.3",
        "parseurl": "~1.3.3",
-        "send": "0.18.0"
+        "send": "0.19.0"
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@@ -13966,7 +14070,8 @@
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+      "license": "ISC"
    },
    "node_modules/shallow-clone": {
      "version": "3.0.1",
@@ -14028,15 +14133,69 @@
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        "es-errors": "^1.3.0",
-        "get-intrinsic": "^1.2.4",
-        "object-inspect": "^1.13.1"
+        "object-inspect": "^1.13.3",
+        "side-channel-list": "^1.0.0",
+        "side-channel-map": "^1.0.1",
+        "side-channel-weakmap": "^1.0.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-list": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/side-channel-list/-/side-channel-list-1.0.0.tgz",
+      "integrity": "sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-map": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/side-channel-map/-/side-channel-map-1.0.1.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "call-bound": "^1.0.2",
+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.5",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
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+    "node_modules/side-channel-weakmap": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz",
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+      "license": "MIT",
+      "dependencies": {
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+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.5",
+        "object-inspect": "^1.13.3",
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+      "license": "MIT",
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@@ -14616,6 +14776,7 @@
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+      "license": "MIT",
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@@ -14906,6 +15067,7 @@
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+      "license": "MIT",
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--- a/pom.xml
+++ b/pom.xml
@@ -13,8 +13,8 @@
    <packaging>jar</packaging>

    <properties>
-        <maven.compiler.source>11</maven.compiler.source>
-        <maven.compiler.target>11</maven.compiler.target>
+        <maven.compiler.release>11</maven.compiler.release>
+        <project.build.outputTimestamp>${git.commit.time}</project.build.outputTimestamp><!-- populated via git-commit-id-plugin -->
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven-surefire-plugin.version>3.0.0-M5</maven-surefire-plugin.version>
        <maven-failsafe-plugin.version>3.0.0-M5</maven-failsafe-plugin.version>
@@ -49,7 +49,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-source-plugin</artifactId>
-                <version>3.3.0</version>
+                <version>3.3.1</version>
                <executions>
                    <execution>
                        <id>attach-sources</id>
@@ -62,7 +62,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-javadoc-plugin</artifactId>
-                <version>3.5.0</version>
+                <version>3.11.2</version>
                <configuration>
                    <!-- to disable the "missing" warnings. Remove the doclint to enable warnings-->
                    <doclint>all,-missing</doclint>
@@ -70,9 +70,13 @@
                <executions>
                    <execution>
                        <id>attach-javadocs</id>
+                        <phase>package</phase>
                        <goals>
                            <goal>jar</goal>
                        </goals>
+                        <configuration>
+                            <outputDirectory>${project.build.directory}</outputDirectory>
+                        </configuration>
                    </execution>
                </executions>
            </plugin>
@@ -114,7 +118,6 @@
                </executions>
            </plugin>

-
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-gpg-plugin</artifactId>
@@ -130,7 +133,36 @@
                </executions>
            </plugin>

+            <plugin>
+                <groupId>io.github.git-commit-id</groupId>
+                <artifactId>git-commit-id-maven-plugin</artifactId>
+                <version>9.0.1</version>
+                <executions>
+                    <execution>
+                        <goals>
+                            <goal>revision</goal>
+                        </goals>
+                    </execution>
+                </executions>
+                <configuration>
+                    <dateFormat>yyyy-MM-dd'T'HH:mm:ss'Z'</dateFormat>
+		    <dateFormatTimeZone>Etc/UTC</dateFormatTimeZone>
+                </configuration>
+            </plugin>
        </plugins>
+
+        <pluginManagement>
+            <plugins>
+                <plugin>
+                    <artifactId>maven-compiler-plugin</artifactId>
+                    <version>3.14.0</version>
+                </plugin>
+                <plugin>
+                    <artifactId>maven-jar-plugin</artifactId>
+                    <version>3.4.2</version>
+                </plugin>
+            </plugins>
+        </pluginManagement>
    </build>

    <dependencies>
@@ -184,6 +216,13 @@
            <version>20240205</version>
            <scope>test</scope>
        </dependency>
+
+        <dependency>
+            <groupId>org.testcontainers</groupId>
+            <artifactId>ollama</artifactId>
+            <version>1.20.2</version>
+            <scope>test</scope>
+        </dependency>
    </dependencies>

    <distributionManagement>
@@ -225,6 +264,7 @@
                <test.env>unit</test.env>
                <skipUnitTests>false</skipUnitTests>
                <skipIntegrationTests>true</skipIntegrationTests>
+                <skipGpgPluginDuringTests>true</skipGpgPluginDuringTests>
            </properties>
            <activation>
                <activeByDefault>false</activeByDefault>
@@ -250,6 +290,23 @@
                            </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>
+                                    <skip>${skipGpgPluginDuringTests}</skip>
+                                </configuration>
+                            </execution>
+                        </executions>
+                    </plugin>
                </plugins>
            </build>
        </profile>
@@ -259,7 +316,29 @@
                <test.env>integration</test.env>
                <skipUnitTests>true</skipUnitTests>
                <skipIntegrationTests>false</skipIntegrationTests>
+                <skipGpgPluginDuringTests>true</skipGpgPluginDuringTests>
            </properties>
+            <build>
+                <plugins>
+                    <plugin>
+                        <groupId>org.apache.maven.plugins</groupId>
+                        <artifactId>maven-gpg-plugin</artifactId>
+                        <version>1.5</version>
+                        <executions>
+                            <execution>
+                                <id>sign-artifacts</id>
+                                <phase>verify</phase>
+                                <goals>
+                                    <goal>sign</goal>
+                                </goals>
+                                <configuration>
+                                    <skip>${skipGpgPluginDuringTests}</skip>
+                                </configuration>
+                            </execution>
+                        </executions>
+                    </plugin>
+                </plugins>
+            </build>
        </profile>
        <profile>
            <id>ci-cd</id>
@@ -303,7 +382,6 @@
                            <autoReleaseAfterClose>true</autoReleaseAfterClose>
                        </configuration>
                    </plugin>
-
                    <plugin>
                        <groupId>org.jacoco</groupId>
                        <artifactId>jacoco-maven-plugin</artifactId>
@@ -328,4 +406,4 @@
        </profile>
    </profiles>

-</project>
+</project>
--- a/src/main/java/io/github/ollama4j/OllamaAPI.java
+++ b/src/main/java/io/github/ollama4j/OllamaAPI.java
@@ -1,14 +1,17 @@
 package io.github.ollama4j;

+import com.fasterxml.jackson.core.JsonParseException;
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
 import io.github.ollama4j.exceptions.OllamaBaseException;
 import io.github.ollama4j.exceptions.RoleNotFoundException;
 import io.github.ollama4j.exceptions.ToolInvocationException;
 import io.github.ollama4j.exceptions.ToolNotFoundException;
 import io.github.ollama4j.models.chat.*;
 import io.github.ollama4j.models.embeddings.OllamaEmbedRequestModel;
+import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;
 import io.github.ollama4j.models.embeddings.OllamaEmbeddingResponseModel;
 import io.github.ollama4j.models.embeddings.OllamaEmbeddingsRequestModel;
-import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;
 import io.github.ollama4j.models.generate.OllamaGenerateRequest;
 import io.github.ollama4j.models.generate.OllamaStreamHandler;
 import io.github.ollama4j.models.generate.OllamaTokenHandler;
@@ -22,6 +25,12 @@ import io.github.ollama4j.tools.annotations.ToolSpec;
 import io.github.ollama4j.utils.Options;
 import io.github.ollama4j.utils.Utils;
 import lombok.Setter;
+import org.jsoup.Jsoup;
+import org.jsoup.nodes.Document;
+import org.jsoup.nodes.Element;
+import org.jsoup.select.Elements;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;

 import java.io.*;
 import java.lang.reflect.InvocationTargetException;
@@ -39,13 +48,6 @@ import java.time.Duration;
 import java.util.*;
 import java.util.stream.Collectors;

-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-import org.jsoup.Jsoup;
-import org.jsoup.nodes.Document;
-import org.jsoup.nodes.Element;
-import org.jsoup.select.Elements;
-
 /**
 * The base Ollama API class.
 */
@@ -70,7 +72,7 @@ public class OllamaAPI {
    @Setter
    private int maxChatToolCallRetries = 3;

-    private BasicAuth basicAuth;
+    private Auth auth;

    private final ToolRegistry toolRegistry = new ToolRegistry();

@@ -92,6 +94,9 @@ public class OllamaAPI {
        } else {
            this.host = host;
        }
+        if (this.verbose) {
+            logger.info("Ollama API initialized with host: " + this.host);
+        }
    }

    /**
@@ -101,7 +106,16 @@ public class OllamaAPI {
     * @param password the password
     */
    public void setBasicAuth(String username, String password) {
-        this.basicAuth = new BasicAuth(username, password);
+        this.auth = new BasicAuth(username, password);
+    }
+
+    /**
+     * Set Bearer authentication for accessing Ollama server that's behind a reverse-proxy/gateway.
+     *
+     * @param bearerToken the Bearer authentication token to provide
+     */
+    public void setBearerAuth(String bearerToken) {
+        this.auth = new BearerAuth(bearerToken);
    }

    /**
@@ -318,26 +332,58 @@ public class OllamaAPI {
    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();
+        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 = "";
+        boolean success = false; // Flag to check the pull success.
        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 (modelPullResponse != null && modelPullResponse.getStatus() != null) {
+                    if (verbose) {
+                        logger.info(modelName + ": " + modelPullResponse.getStatus());
+                    }
+                    // Check if status is "success" and set success flag to true.
+                    if ("success".equalsIgnoreCase(modelPullResponse.getStatus())) {
+                        success = true;
+                    }
+                } else {
+                    logger.error("Received null or invalid status for model pull.");
                }
            }
        }
+        if (!success) {
+            logger.error("Model pull failed or returned invalid status.");
+            throw new OllamaBaseException("Model pull failed or returned invalid status.");
+        }
        if (statusCode != 200) {
            throw new OllamaBaseException(statusCode + " - " + responseString);
        }
    }

+
+    public String getVersion() throws URISyntaxException, IOException, InterruptedException, OllamaBaseException {
+        String url = this.host + "/api/version";
+        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, OllamaVersion.class).getVersion();
+        } else {
+            throw new OllamaBaseException(statusCode + " - " + responseString);
+        }
+    }
+
    /**
     * Pulls a model using the specified Ollama library model tag.
     * The model is identified by a name and a tag, which are combined into a single identifier
@@ -391,6 +437,7 @@ public class OllamaAPI {
     * @throws InterruptedException if the operation is interrupted
     * @throws URISyntaxException   if the URI for the request is malformed
     */
+    @Deprecated
    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();
@@ -423,6 +470,7 @@ public class OllamaAPI {
     * @throws InterruptedException if the operation is interrupted
     * @throws URISyntaxException   if the URI for the request is malformed
     */
+    @Deprecated
    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();
@@ -442,6 +490,35 @@ public class OllamaAPI {
        }
    }

+    /**
+     * Create a custom model. Read more about custom model creation <a
+     * href="https://github.com/ollama/ollama/blob/main/docs/api.md#create-a-model">here</a>.
+     *
+     * @param customModelRequest custom model spec
+     * @throws OllamaBaseException  if the response indicates an error status
+     * @throws IOException          if an I/O error occurs during the HTTP request
+     * @throws InterruptedException if the operation is interrupted
+     * @throws URISyntaxException   if the URI for the request is malformed
+     */
+    public void createModel(CustomModelRequest customModelRequest) throws IOException, InterruptedException, OllamaBaseException, URISyntaxException {
+        String url = this.host + "/api/create";
+        String jsonData = customModelRequest.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.
     *
@@ -610,9 +687,9 @@ public class OllamaAPI {
        OllamaToolsResult toolResult = new OllamaToolsResult();
        Map<ToolFunctionCallSpec, Object> toolResults = new HashMap<>();

-        if(!prompt.startsWith("[AVAILABLE_TOOLS]")){
+        if (!prompt.startsWith("[AVAILABLE_TOOLS]")) {
            final Tools.PromptBuilder promptBuilder = new Tools.PromptBuilder();
-            for(Tools.ToolSpecification spec :  toolRegistry.getRegisteredSpecs()) {
+            for (Tools.ToolSpecification spec : toolRegistry.getRegisteredSpecs()) {
                promptBuilder.withToolSpecification(spec);
            }
            promptBuilder.withPrompt(prompt);
@@ -627,7 +704,22 @@ public class OllamaAPI {
            toolsResponse = toolsResponse.replace("[TOOL_CALLS]", "");
        }

-        List<ToolFunctionCallSpec> toolFunctionCallSpecs = Utils.getObjectMapper().readValue(toolsResponse, Utils.getObjectMapper().getTypeFactory().constructCollectionType(List.class, ToolFunctionCallSpec.class));
+        List<ToolFunctionCallSpec> toolFunctionCallSpecs = new ArrayList<>();
+        ObjectMapper objectMapper = Utils.getObjectMapper();
+
+        if (!toolsResponse.isEmpty()) {
+            try {
+                // Try to parse the string to see if it's a valid JSON
+                JsonNode jsonNode = objectMapper.readTree(toolsResponse);
+            } catch (JsonParseException e) {
+                logger.warn("Response from model does not contain any tool calls. Returning the response as is.");
+                return toolResult;
+            }
+            toolFunctionCallSpecs = objectMapper.readValue(
+                    toolsResponse,
+                    objectMapper.getTypeFactory().constructCollectionType(List.class, ToolFunctionCallSpec.class)
+            );
+        }
        for (ToolFunctionCallSpec toolFunctionCallSpec : toolFunctionCallSpecs) {
            toolResults.put(toolFunctionCallSpec, invokeTool(toolFunctionCallSpec));
        }
@@ -794,8 +886,8 @@ public class OllamaAPI {
     * <p>
     * Hint: the OllamaChatRequestModel#getStream() property is not implemented.
     *
-     * @param request       request object to be sent to the server
-     * @param tokenHandler  callback handler to handle the last token from stream (caution: all previous messages from stream will be concatenated)
+     * @param request      request object to be sent to the server
+     * @param tokenHandler callback handler to handle the last token from stream (caution: all previous messages from stream will be concatenated)
     * @return {@link OllamaChatResult}
     * @throws OllamaBaseException  any response code than 200 has been returned
     * @throws IOException          in case the responseStream can not be read
@@ -805,7 +897,7 @@ public class OllamaAPI {
     * @throws InterruptedException if the operation is interrupted
     */
    public OllamaChatResult chatStreaming(OllamaChatRequest request, OllamaTokenHandler tokenHandler) throws OllamaBaseException, IOException, InterruptedException {
-        OllamaChatEndpointCaller requestCaller = new OllamaChatEndpointCaller(host, basicAuth, requestTimeoutSeconds, verbose);
+        OllamaChatEndpointCaller requestCaller = new OllamaChatEndpointCaller(host, auth, requestTimeoutSeconds, verbose);
        OllamaChatResult result;

        // add all registered tools to Request
@@ -821,13 +913,13 @@ public class OllamaAPI {
        // check if toolCallIsWanted
        List<OllamaChatToolCalls> toolCalls = result.getResponseModel().getMessage().getToolCalls();
        int toolCallTries = 0;
-        while(toolCalls != null && !toolCalls.isEmpty() && toolCallTries < maxChatToolCallRetries){
-            for (OllamaChatToolCalls toolCall : toolCalls){
+        while (toolCalls != null && !toolCalls.isEmpty() && toolCallTries < maxChatToolCallRetries) {
+            for (OllamaChatToolCalls toolCall : toolCalls) {
                String toolName = toolCall.getFunction().getName();
                ToolFunction toolFunction = toolRegistry.getToolFunction(toolName);
                Map<String, Object> arguments = toolCall.getFunction().getArguments();
                Object res = toolFunction.apply(arguments);
-                request.getMessages().add(new OllamaChatMessage(OllamaChatMessageRole.TOOL,"[TOOL_RESULTS]" + toolName + "(" + arguments.keySet() +") : " + res + "[/TOOL_RESULTS]"));
+                request.getMessages().add(new OllamaChatMessage(OllamaChatMessageRole.TOOL, "[TOOL_RESULTS]" + toolName + "(" + arguments.keySet() + ") : " + res + "[/TOOL_RESULTS]"));
            }

            if (tokenHandler != null) {
@@ -842,12 +934,41 @@ public class OllamaAPI {
        return result;
    }

+    /**
+     * Registers a single tool in the tool registry using the provided tool specification.
+     *
+     * @param toolSpecification the specification of the tool to register. It contains the
+     *                          tool's function name and other relevant information.
+     */
    public void registerTool(Tools.ToolSpecification toolSpecification) {
        toolRegistry.addTool(toolSpecification.getFunctionName(), toolSpecification);
+        if (this.verbose) {
+            logger.debug("Registered tool: {}", toolSpecification.getFunctionName());
+        }
    }

+    /**
+     * Registers multiple tools in the tool registry using a list of tool specifications.
+     * Iterates over the list and adds each tool specification to the registry.
+     *
+     * @param toolSpecifications a list of tool specifications to register. Each specification
+     *                           contains information about a tool, such as its function name.
+     */
+    public void registerTools(List<Tools.ToolSpecification> toolSpecifications) {
+        for (Tools.ToolSpecification toolSpecification : toolSpecifications) {
+            toolRegistry.addTool(toolSpecification.getFunctionName(), toolSpecification);
+        }
+    }

-    public void registerAnnotatedTools()  {
+    /**
+     * Registers tools based on the annotations found on the methods of the caller's class and its providers.
+     * This method scans the caller's class for the {@link OllamaToolService} annotation and recursively registers
+     * annotated tools from all the providers specified in the annotation.
+     *
+     * @throws IllegalStateException if the caller's class is not annotated with {@link OllamaToolService}.
+     * @throws RuntimeException      if any reflection-based instantiation or invocation fails.
+     */
+    public void registerAnnotatedTools() {
        try {
            Class<?> callerClass = null;
            try {
@@ -865,70 +986,52 @@ public class OllamaAPI {
            for (Class<?> provider : providers) {
                registerAnnotatedTools(provider.getDeclaredConstructor().newInstance());
            }
-        } catch (InstantiationException | NoSuchMethodException | IllegalAccessException | InvocationTargetException e) {
+        } catch (InstantiationException | NoSuchMethodException | IllegalAccessException |
+                 InvocationTargetException e) {
            throw new RuntimeException(e);
        }
    }

-    public void registerAnnotatedTools(Object object)  {
+    /**
+     * Registers tools based on the annotations found on the methods of the provided object.
+     * This method scans the methods of the given object and registers tools using the {@link ToolSpec} annotation
+     * and associated {@link ToolProperty} annotations. It constructs tool specifications and stores them in a tool registry.
+     *
+     * @param object the object whose methods are to be inspected for annotated tools.
+     * @throws RuntimeException if any reflection-based instantiation or invocation fails.
+     */
+    public void registerAnnotatedTools(Object object) {
        Class<?> objectClass = object.getClass();
        Method[] methods = objectClass.getMethods();
-        for(Method m : methods) {
+        for (Method m : methods) {
            ToolSpec toolSpec = m.getDeclaredAnnotation(ToolSpec.class);
-            if(toolSpec == null){
+            if (toolSpec == null) {
                continue;
            }
            String operationName = !toolSpec.name().isBlank() ? toolSpec.name() : m.getName();
            String operationDesc = !toolSpec.desc().isBlank() ? toolSpec.desc() : operationName;

            final Tools.PropsBuilder propsBuilder = new Tools.PropsBuilder();
-            LinkedHashMap<String,String> methodParams = new LinkedHashMap<>();
+            LinkedHashMap<String, String> methodParams = new LinkedHashMap<>();
            for (Parameter parameter : m.getParameters()) {
                final ToolProperty toolPropertyAnn = parameter.getDeclaredAnnotation(ToolProperty.class);
                String propType = parameter.getType().getTypeName();
-                if(toolPropertyAnn == null) {
-                    methodParams.put(parameter.getName(),null);
+                if (toolPropertyAnn == null) {
+                    methodParams.put(parameter.getName(), null);
                    continue;
                }
                String propName = !toolPropertyAnn.name().isBlank() ? toolPropertyAnn.name() : parameter.getName();
-                methodParams.put(propName,propType);
-                propsBuilder.withProperty(propName,Tools.PromptFuncDefinition.Property.builder()
-                        .type(propType)
-                        .description(toolPropertyAnn.desc())
-                        .required(toolPropertyAnn.required())
-                        .build());
+                methodParams.put(propName, propType);
+                propsBuilder.withProperty(propName, Tools.PromptFuncDefinition.Property.builder().type(propType).description(toolPropertyAnn.desc()).required(toolPropertyAnn.required()).build());
            }
            final Map<String, Tools.PromptFuncDefinition.Property> params = propsBuilder.build();
-            List<String> reqProps = params.entrySet().stream()
-                    .filter(e -> e.getValue().isRequired())
-                    .map(Map.Entry::getKey)
-                    .collect(Collectors.toList());
+            List<String> reqProps = params.entrySet().stream().filter(e -> e.getValue().isRequired()).map(Map.Entry::getKey).collect(Collectors.toList());

-            Tools.ToolSpecification toolSpecification = Tools.ToolSpecification.builder()
-                    .functionName(operationName)
-                    .functionDescription(operationDesc)
-                    .toolPrompt(
-                            Tools.PromptFuncDefinition.builder().type("function").function(
-                                    Tools.PromptFuncDefinition.PromptFuncSpec.builder()
-                                            .name(operationName)
-                                            .description(operationDesc)
-                                            .parameters(
-                                                    Tools.PromptFuncDefinition.Parameters.builder()
-                                                            .type("object")
-                                                            .properties(
-                                                                    params
-                                                            )
-                                                            .required(reqProps)
-                                                            .build()
-                                            ).build()
-                            ).build()
-                    )
-                    .build();
+            Tools.ToolSpecification toolSpecification = Tools.ToolSpecification.builder().functionName(operationName).functionDescription(operationDesc).toolPrompt(Tools.PromptFuncDefinition.builder().type("function").function(Tools.PromptFuncDefinition.PromptFuncSpec.builder().name(operationName).description(operationDesc).parameters(Tools.PromptFuncDefinition.Parameters.builder().type("object").properties(params).required(reqProps).build()).build()).build()).build();

-            ReflectionalToolFunction reflectionalToolFunction =
-                    new ReflectionalToolFunction(object, m, methodParams);
+            ReflectionalToolFunction reflectionalToolFunction = new ReflectionalToolFunction(object, m, methodParams);
            toolSpecification.setToolFunction(reflectionalToolFunction);
-            toolRegistry.addTool(toolSpecification.getFunctionName(),toolSpecification);
+            toolRegistry.addTool(toolSpecification.getFunctionName(), toolSpecification);
        }

    }
@@ -966,16 +1069,41 @@ public class OllamaAPI {

    // technical private methods //

+    /**
+     * Utility method to encode a file into a Base64 encoded string.
+     *
+     * @param file the file to be encoded into Base64.
+     * @return a Base64 encoded string representing the contents of the file.
+     * @throws IOException if an I/O error occurs during reading the file.
+     */
    private static String encodeFileToBase64(File file) throws IOException {
        return Base64.getEncoder().encodeToString(Files.readAllBytes(file.toPath()));
    }

+    /**
+     * Utility method to encode a byte array into a Base64 encoded string.
+     *
+     * @param bytes the byte array to be encoded into Base64.
+     * @return a Base64 encoded string representing the byte array.
+     */
    private static String encodeByteArrayToBase64(byte[] bytes) {
        return Base64.getEncoder().encodeToString(bytes);
    }

+    /**
+     * Generates a request for the Ollama API and returns the result.
+     * This method synchronously calls the Ollama API. If a stream handler is provided,
+     * the request will be streamed; otherwise, a regular synchronous request will be made.
+     *
+     * @param ollamaRequestModel the request model containing necessary parameters for the Ollama API request.
+     * @param streamHandler      the stream handler to process streaming responses, or null for non-streaming requests.
+     * @return the result of the Ollama API request.
+     * @throws OllamaBaseException  if the request fails due to an issue with the Ollama API.
+     * @throws IOException          if an I/O error occurs during the request process.
+     * @throws InterruptedException if the thread is interrupted during the request.
+     */
    private OllamaResult generateSyncForOllamaRequestModel(OllamaGenerateRequest ollamaRequestModel, OllamaStreamHandler streamHandler) throws OllamaBaseException, IOException, InterruptedException {
-        OllamaGenerateEndpointCaller requestCaller = new OllamaGenerateEndpointCaller(host, basicAuth, requestTimeoutSeconds, verbose);
+        OllamaGenerateEndpointCaller requestCaller = new OllamaGenerateEndpointCaller(host, auth, requestTimeoutSeconds, verbose);
        OllamaResult result;
        if (streamHandler != null) {
            ollamaRequestModel.setStream(true);
@@ -986,6 +1114,7 @@ public class OllamaAPI {
        return result;
    }

+
    /**
     * Get default request builder.
     *
@@ -995,28 +1124,18 @@ public class OllamaAPI {
    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());
+            requestBuilder.header("Authorization", auth.getAuthHeaderValue());
        }
        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;
+        return auth != null;
    }

    private Object invokeTool(ToolFunctionCallSpec toolFunctionCallSpec) throws ToolInvocationException {
@@ -1028,7 +1147,7 @@ public class OllamaAPI {
                logger.debug("Invoking function {} with arguments {}", methodName, arguments);
            }
            if (function == null) {
-                throw new ToolNotFoundException("No such tool: " + methodName);
+                throw new ToolNotFoundException("No such tool: " + methodName + ". Please register the tool before invoking it.");
            }
            return function.apply(arguments);
        } catch (Exception e) {
--- a/src/main/java/io/github/ollama4j/models/chat/OllamaChatMessageRole.java
+++ b/src/main/java/io/github/ollama4j/models/chat/OllamaChatMessageRole.java
@@ -28,9 +28,9 @@ public class OllamaChatMessageRole {
    }

    public static OllamaChatMessageRole newCustomRole(String roleName) {
-        OllamaChatMessageRole customRole = new OllamaChatMessageRole(roleName);
-        roles.add(customRole);
-        return customRole;
+//        OllamaChatMessageRole customRole = new OllamaChatMessageRole(roleName);
+//        roles.add(customRole);
+        return new OllamaChatMessageRole(roleName);
    }

    public static List<OllamaChatMessageRole> getRoles() {
--- a/src/main/java/io/github/ollama4j/models/chat/OllamaChatResult.java
+++ b/src/main/java/io/github/ollama4j/models/chat/OllamaChatResult.java
@@ -14,10 +14,9 @@ import static io.github.ollama4j.utils.Utils.getObjectMapper;
@Getter
 public class OllamaChatResult {

+    private final List<OllamaChatMessage> chatHistory;

-    private List<OllamaChatMessage> chatHistory;
-
-    private OllamaChatResponseModel responseModel;
+    private final OllamaChatResponseModel responseModel;

    public OllamaChatResult(OllamaChatResponseModel responseModel, List<OllamaChatMessage> chatHistory) {
        this.chatHistory = chatHistory;
--- a/src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbedRequestBuilder.java
+++ b/src/main/java/io/github/ollama4j/models/embeddings/OllamaEmbedRequestBuilder.java
@@ -5,7 +5,7 @@ import io.github.ollama4j.utils.Options;
 import java.util.List;

 /**
- * Builderclass to easily create Requests for Embedding models using ollama.
+ * Builder class to easily create Requests for Embedding models using ollama.
 */
 public class OllamaEmbedRequestBuilder {

--- a/src/main/java/io/github/ollama4j/models/request/Auth.java
+++ b/src/main/java/io/github/ollama4j/models/request/Auth.java
@@ -0,0 +1,10 @@
+package io.github.ollama4j.models.request;
+
+public abstract class Auth {
+  /**
+   * Get authentication header value.
+   *
+   * @return authentication header value
+   */
+  public abstract String getAuthHeaderValue();
+}
--- a/src/main/java/io/github/ollama4j/models/request/BasicAuth.java
+++ b/src/main/java/io/github/ollama4j/models/request/BasicAuth.java
@@ -1,13 +1,24 @@
 package io.github.ollama4j.models.request;

+import java.util.Base64;
+
 import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.NoArgsConstructor;

@Data
-@NoArgsConstructor
@AllArgsConstructor
-public class BasicAuth {
+public class BasicAuth extends Auth {
  private String username;
  private String password;
+
+  /**
+   * Get basic authentication header value.
+   *
+   * @return basic authentication header value (encoded credentials)
+   */
+  public String getAuthHeaderValue() {
+      final String credentialsToEncode = this.getUsername() + ":" + this.getPassword();
+      return "Basic " + Base64.getEncoder().encodeToString(credentialsToEncode.getBytes());
+  }
 }
--- a/src/main/java/io/github/ollama4j/models/request/BearerAuth.java
+++ b/src/main/java/io/github/ollama4j/models/request/BearerAuth.java
@@ -0,0 +1,19 @@
+package io.github.ollama4j.models.request;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+
+@Data
+@AllArgsConstructor
+public class BearerAuth extends Auth {
+  private String bearerToken;
+
+  /**
+   * Get authentication header value.
+   *
+   * @return authentication header value with bearer token
+   */
+  public String getAuthHeaderValue() {
+      return "Bearer "+ bearerToken;
+  }
+}
--- a/src/main/java/io/github/ollama4j/models/request/CustomModelRequest.java
+++ b/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);
+        }
+    }
+}
--- a/src/main/java/io/github/ollama4j/models/request/OllamaChatEndpointCaller.java
+++ b/src/main/java/io/github/ollama4j/models/request/OllamaChatEndpointCaller.java
@@ -30,8 +30,8 @@ public class OllamaChatEndpointCaller extends OllamaEndpointCaller {

    private OllamaTokenHandler tokenHandler;

-    public OllamaChatEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
-        super(host, basicAuth, requestTimeoutSeconds, verbose);
+    public OllamaChatEndpointCaller(String host, Auth auth, long requestTimeoutSeconds, boolean verbose) {
+        super(host, auth, requestTimeoutSeconds, verbose);
    }

    @Override
--- a/src/main/java/io/github/ollama4j/models/request/OllamaEndpointCaller.java
+++ b/src/main/java/io/github/ollama4j/models/request/OllamaEndpointCaller.java
@@ -1,26 +1,14 @@
 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 java.net.URI;
+import java.net.http.HttpRequest;
+import java.time.Duration;
+
 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;
+import io.github.ollama4j.OllamaAPI;
+import lombok.Getter;

 /**
 * Abstract helperclass to call the ollama api server.
@@ -31,13 +19,13 @@ public abstract class OllamaEndpointCaller {
    private static final Logger LOG = LoggerFactory.getLogger(OllamaAPI.class);

    private final String host;
-    private final BasicAuth basicAuth;
+    private final Auth auth;
    private final long requestTimeoutSeconds;
    private final boolean verbose;

-    public OllamaEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
+    public OllamaEndpointCaller(String host, Auth auth, long requestTimeoutSeconds, boolean verbose) {
        this.host = host;
-        this.basicAuth = basicAuth;
+        this.auth = auth;
        this.requestTimeoutSeconds = requestTimeoutSeconds;
        this.verbose = verbose;
    }
@@ -58,29 +46,19 @@ public abstract class OllamaEndpointCaller {
                HttpRequest.newBuilder(uri)
                        .header("Content-Type", "application/json")
                        .timeout(Duration.ofSeconds(this.requestTimeoutSeconds));
-        if (isBasicAuthCredentialsSet()) {
-            requestBuilder.header("Authorization", getBasicAuthHeaderValue());
+        if (isAuthCredentialsSet()) {
+            requestBuilder.header("Authorization", this.auth.getAuthHeaderValue());
        }
        return requestBuilder;
    }

    /**
-     * Get basic authentication header value.
+     * Check if Auth credentials set.
     *
-     * @return basic authentication header value (encoded credentials)
+     * @return true when Auth credentials set
     */
-    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;
+    protected boolean isAuthCredentialsSet() {
+        return this.auth != null;
    }

 }
--- a/src/main/java/io/github/ollama4j/models/request/OllamaGenerateEndpointCaller.java
+++ b/src/main/java/io/github/ollama4j/models/request/OllamaGenerateEndpointCaller.java
@@ -28,7 +28,7 @@ public class OllamaGenerateEndpointCaller extends OllamaEndpointCaller {

    private OllamaGenerateStreamObserver streamObserver;

-    public OllamaGenerateEndpointCaller(String host, BasicAuth basicAuth, long requestTimeoutSeconds, boolean verbose) {
+    public OllamaGenerateEndpointCaller(String host, Auth basicAuth, long requestTimeoutSeconds, boolean verbose) {
        super(host, basicAuth, requestTimeoutSeconds, verbose);
    }

--- a/src/main/java/io/github/ollama4j/models/response/Model.java
+++ b/src/main/java/io/github/ollama4j/models/response/Model.java
@@ -2,12 +2,14 @@ package io.github.ollama4j.models.response;

 import java.time.OffsetDateTime;

+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 Model {

  private String name;
--- a/src/main/java/io/github/ollama4j/models/response/OllamaVersion.java
+++ b/src/main/java/io/github/ollama4j/models/response/OllamaVersion.java
@@ -0,0 +1,10 @@
+package io.github.ollama4j.models.response;
+
+import lombok.Data;
+
+import java.util.List;
+
+@Data
+public class OllamaVersion {
+    private String version;
+}
--- a/src/main/java/io/github/ollama4j/tools/OllamaToolCallsFunction.java
+++ b/src/main/java/io/github/ollama4j/tools/OllamaToolCallsFunction.java
@@ -1,5 +1,6 @@
 package io.github.ollama4j.tools;

+import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
 import lombok.AllArgsConstructor;
 import lombok.Data;
 import lombok.NoArgsConstructor;
@@ -9,8 +10,9 @@ import java.util.Map;
@Data
@NoArgsConstructor
@AllArgsConstructor
+@JsonIgnoreProperties(ignoreUnknown = true)
 public class OllamaToolCallsFunction
 {
    private String name;
    private Map<String,Object> arguments;
-}
+}
--- a/src/main/java/io/github/ollama4j/tools/OllamaToolsResult.java
+++ b/src/main/java/io/github/ollama4j/tools/OllamaToolsResult.java
@@ -18,6 +18,9 @@ public class OllamaToolsResult {

    public List<ToolResult> getToolResults() {
        List<ToolResult> results = new ArrayList<>();
+        if (this.toolResults == null) {
+            return results;
+        }
        for (Map.Entry<ToolFunctionCallSpec, Object> r : this.toolResults.entrySet()) {
            results.add(new ToolResult(r.getKey().getName(), r.getKey().getArguments(), r.getValue()));
        }
--- a/src/test/java/io/github/ollama4j/integrationtests/OllamaAPIIntegrationTest.java
+++ b/src/test/java/io/github/ollama4j/integrationtests/OllamaAPIIntegrationTest.java
@@ -0,0 +1,600 @@
+package io.github.ollama4j.integrationtests;
+
+import io.github.ollama4j.OllamaAPI;
+import io.github.ollama4j.exceptions.OllamaBaseException;
+import io.github.ollama4j.models.chat.*;
+import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;
+import io.github.ollama4j.models.response.LibraryModel;
+import io.github.ollama4j.models.response.Model;
+import io.github.ollama4j.models.response.ModelDetail;
+import io.github.ollama4j.models.response.OllamaResult;
+import io.github.ollama4j.samples.AnnotatedTool;
+import io.github.ollama4j.tools.OllamaToolCallsFunction;
+import io.github.ollama4j.tools.ToolFunction;
+import io.github.ollama4j.tools.Tools;
+import io.github.ollama4j.tools.annotations.OllamaToolService;
+import io.github.ollama4j.utils.OptionsBuilder;
+import org.junit.jupiter.api.BeforeAll;
+import org.junit.jupiter.api.MethodOrderer.OrderAnnotation;
+import org.junit.jupiter.api.Order;
+import org.junit.jupiter.api.Test;
+import org.junit.jupiter.api.TestMethodOrder;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.testcontainers.ollama.OllamaContainer;
+
+import java.io.File;
+import java.io.IOException;
+import java.net.ConnectException;
+import java.net.URISyntaxException;
+import java.util.*;
+
+import static org.junit.jupiter.api.Assertions.*;
+
+@OllamaToolService(providers = {AnnotatedTool.class})
+@TestMethodOrder(OrderAnnotation.class)
+
+@SuppressWarnings("HttpUrlsUsage")
+public class OllamaAPIIntegrationTest {
+    private static final Logger LOG = LoggerFactory.getLogger(OllamaAPIIntegrationTest.class);
+
+    private static OllamaContainer ollama;
+    private static OllamaAPI api;
+
+    @BeforeAll
+    public static void setUp() {
+        String ollamaVersion = "0.6.1";
+        int internalPort = 11434;
+        int mappedPort = 11435;
+        ollama = new OllamaContainer("ollama/ollama:" + ollamaVersion);
+        ollama.addExposedPort(internalPort);
+        List<String> portBindings = new ArrayList<>();
+        portBindings.add(mappedPort + ":" + internalPort);
+        ollama.setPortBindings(portBindings);
+        ollama.start();
+        api = new OllamaAPI("http://" + ollama.getHost() + ":" + ollama.getMappedPort(internalPort));
+        api.setRequestTimeoutSeconds(120);
+        api.setVerbose(true);
+    }
+
+    @Test
+    @Order(1)
+    void testWrongEndpoint() {
+        OllamaAPI ollamaAPI = new OllamaAPI("http://wrong-host:11434");
+        assertThrows(ConnectException.class, ollamaAPI::listModels);
+    }
+
+    @Test
+    @Order(1)
+    public void testVersionAPI() throws URISyntaxException, IOException, OllamaBaseException, InterruptedException {
+        String expectedVersion = ollama.getDockerImageName().split(":")[1];
+        String actualVersion = api.getVersion();
+        assertEquals(expectedVersion, actualVersion, "Version should match the Docker image version");
+    }
+
+    @Test
+    @Order(2)
+    public void testListModelsAPI() throws URISyntaxException, IOException, OllamaBaseException, InterruptedException {
+        // Fetch the list of models
+        List<Model> models = api.listModels();
+        // Assert that the models list is not null
+        assertNotNull(models, "Models should not be null");
+        // Assert that models list is either empty or contains more than 0 models
+        assertTrue(models.size() >= 0, "Models list should be empty or contain elements");
+    }
+
+    @Test
+    @Order(2)
+    void testListModelsFromLibrary() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        List<LibraryModel> models = api.listModelsFromLibrary();
+        assertNotNull(models);
+        assertFalse(models.isEmpty());
+    }
+
+    @Test
+    @Order(3)
+    public void testPullModelAPI() throws URISyntaxException, IOException, OllamaBaseException, InterruptedException {
+        String embeddingModelMinilm = "all-minilm";
+        api.pullModel(embeddingModelMinilm);
+        List<Model> models = api.listModels();
+        assertNotNull(models, "Models should not be null");
+        assertFalse(models.isEmpty(), "Models list should contain elements");
+    }
+
+    @Test
+    @Order(4)
+    void testListModelDetails() throws IOException, OllamaBaseException, URISyntaxException, InterruptedException {
+        String embeddingModelMinilm = "all-minilm";
+        api.pullModel(embeddingModelMinilm);
+        ModelDetail modelDetails = api.getModelDetails("all-minilm");
+        assertNotNull(modelDetails);
+        assertTrue(modelDetails.getModelFile().contains(embeddingModelMinilm));
+    }
+
+    @Test
+    @Order(5)
+    public void testEmbeddings() throws Exception {
+        String embeddingModelMinilm = "all-minilm";
+        api.pullModel(embeddingModelMinilm);
+        OllamaEmbedResponseModel embeddings = api.embed(embeddingModelMinilm, Arrays.asList("Why is the sky blue?", "Why is the grass green?"));
+        assertNotNull(embeddings, "Embeddings should not be null");
+        assertFalse(embeddings.getEmbeddings().isEmpty(), "Embeddings should not be empty");
+    }
+
+    @Test
+    @Order(6)
+    void testAskModelWithDefaultOptions() throws OllamaBaseException, IOException, InterruptedException, URISyntaxException {
+        String chatModel = "qwen2.5:0.5b";
+        api.pullModel(chatModel);
+        OllamaResult result =
+                api.generate(
+                        chatModel,
+                        "What is the capital of France? And what's France's connection with Mona Lisa?",
+                        false,
+                        new OptionsBuilder().build());
+        assertNotNull(result);
+        assertNotNull(result.getResponse());
+        assertFalse(result.getResponse().isEmpty());
+    }
+
+    @Test
+    @Order(7)
+    void testAskModelWithDefaultOptionsStreamed() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "qwen2.5:0.5b";
+        api.pullModel(chatModel);
+        StringBuffer sb = new StringBuffer();
+        OllamaResult result = api.generate(chatModel,
+                "What is the capital of France? And what's France's connection with Mona Lisa?",
+                false,
+                new OptionsBuilder().build(), (s) -> {
+                    LOG.info(s);
+                    String substring = s.substring(sb.toString().length(), s.length());
+                    LOG.info(substring);
+                    sb.append(substring);
+                });
+
+        assertNotNull(result);
+        assertNotNull(result.getResponse());
+        assertFalse(result.getResponse().isEmpty());
+        assertEquals(sb.toString().trim(), result.getResponse().trim());
+    }
+
+    @Test
+    @Order(8)
+    void testAskModelWithOptions() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "qwen2.5:0.5b-instruct";
+        api.pullModel(chatModel);
+
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.SYSTEM, "You are a helpful assistant who can generate random person's first and last names in the format [First name, Last name].")
+                .build();
+        requestModel = builder.withMessages(requestModel.getMessages())
+                .withMessage(OllamaChatMessageRole.USER, "Give me a cool name")
+                .withOptions(new OptionsBuilder().setTemperature(0.5f).build()).build();
+        OllamaChatResult chatResult = api.chat(requestModel);
+
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertFalse(chatResult.getResponseModel().getMessage().getContent().isEmpty());
+    }
+
+    @Test
+    @Order(9)
+    void testChatWithSystemPrompt() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.SYSTEM,
+                        "You are a silent bot that only says 'Shush'. Do not say anything else under any circumstances!")
+                .withMessage(OllamaChatMessageRole.USER,
+                        "What's something that's brown and sticky?")
+                .withOptions(new OptionsBuilder().setTemperature(0.8f).build())
+                .build();
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertFalse(chatResult.getResponseModel().getMessage().getContent().isBlank());
+        assertTrue(chatResult.getResponseModel().getMessage().getContent().contains("Shush"));
+        assertEquals(3, chatResult.getChatHistory().size());
+    }
+
+    @Test
+    @Order(10)
+    public void testChat() throws Exception {
+        String chatModel = "llama3";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+
+        // Create the initial user question
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "What is 1+1? Answer only in numbers.")
+                .build();
+
+        // Start conversation with model
+        OllamaChatResult chatResult = api.chat(requestModel);
+
+        assertTrue(
+                chatResult.getChatHistory().stream()
+                        .anyMatch(chat -> chat.getContent().contains("2")),
+                "Expected chat history to contain '2'"
+        );
+
+        // Create the next user question: second largest city
+        requestModel = builder.withMessages(chatResult.getChatHistory())
+                .withMessage(OllamaChatMessageRole.USER, "And what is its squared value?")
+                .build();
+
+        // Continue conversation with model
+        chatResult = api.chat(requestModel);
+
+        assertTrue(
+                chatResult.getChatHistory().stream()
+                        .anyMatch(chat -> chat.getContent().contains("4")),
+                "Expected chat history to contain '4'"
+        );
+
+        // Create the next user question: the third question
+        requestModel = builder.withMessages(chatResult.getChatHistory())
+                .withMessage(OllamaChatMessageRole.USER, "What is the largest value between 2, 4 and 6?")
+                .build();
+
+        // Continue conversation with the model for the third question
+        chatResult = api.chat(requestModel);
+
+        // verify the result
+        assertNotNull(chatResult, "Chat result should not be null");
+        assertTrue(chatResult.getChatHistory().size() > 2, "Chat history should contain more than two messages");
+        assertTrue(chatResult.getChatHistory().get(chatResult.getChatHistory().size() - 1).getContent().contains("6"), "Response should contain '6'");
+    }
+
+    @Test
+    @Order(10)
+    void testChatWithImageFromURL() throws OllamaBaseException, IOException, InterruptedException, URISyntaxException {
+        String imageModel = "llava";
+        api.pullModel(imageModel);
+
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(imageModel);
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "What's in the picture?", Collections.emptyList(),
+                        "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg")
+                .build();
+        api.registerAnnotatedTools(new OllamaAPIIntegrationTest());
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+    }
+    @Test
+    @Order(10)
+    void testChatWithImageFromFileWithHistoryRecognition() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String imageModel = "moondream";
+        api.pullModel(imageModel);
+        OllamaChatRequestBuilder builder =
+                OllamaChatRequestBuilder.getInstance(imageModel);
+        OllamaChatRequest requestModel =
+                builder.withMessage(OllamaChatMessageRole.USER, "What's in the picture?", Collections.emptyList(),
+                        List.of(getImageFileFromClasspath("dog-on-a-boat.jpg"))).build();
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        builder.reset();
+
+        requestModel =
+                builder.withMessages(chatResult.getChatHistory())
+                        .withMessage(OllamaChatMessageRole.USER, "What's the dogs breed?").build();
+
+        chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+    }
+    @Test
+    @Order(11)
+    void testChatWithExplicitToolDefinition() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+
+        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(arguments -> {
+                    // perform DB operations here
+                    return String.format("Employee Details {ID: %s, Name: %s, Address: %s, Phone: %s}", UUID.randomUUID(), arguments.get("employee-name"), arguments.get("employee-address"), arguments.get("employee-phone"));
+                })
+                .build();
+
+        api.registerTool(databaseQueryToolSpecification);
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Give me the ID of the employee named 'Rahul Kumar'?")
+                .build();
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(), chatResult.getResponseModel().getMessage().getRole().getRoleName());
+        List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
+        assertEquals(1, toolCalls.size());
+        OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
+        assertEquals("get-employee-details", function.getName());
+        assert !function.getArguments().isEmpty();
+        Object employeeName = function.getArguments().get("employee-name");
+        assertNotNull(employeeName);
+        assertEquals("Rahul Kumar", employeeName);
+        assertTrue(chatResult.getChatHistory().size() > 2);
+        List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
+        assertNull(finalToolCalls);
+    }
+
+    @Test
+    @Order(12)
+    void testChatWithAnnotatedToolsAndSingleParam() throws OllamaBaseException, IOException, InterruptedException, URISyntaxException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+
+        api.registerAnnotatedTools();
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Compute the most important constant in the world using 5 digits")
+                .build();
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(), chatResult.getResponseModel().getMessage().getRole().getRoleName());
+        List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
+        assertEquals(1, toolCalls.size());
+        OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
+        assertEquals("computeImportantConstant", function.getName());
+        assertEquals(1, function.getArguments().size());
+        Object noOfDigits = function.getArguments().get("noOfDigits");
+        assertNotNull(noOfDigits);
+        assertEquals("5", noOfDigits.toString());
+        assertTrue(chatResult.getChatHistory().size() > 2);
+        List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
+        assertNull(finalToolCalls);
+    }
+
+    @Test
+    @Order(13)
+    void testChatWithAnnotatedToolsAndMultipleParams() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+
+        api.registerAnnotatedTools(new AnnotatedTool());
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Greet Pedro with a lot of hearts and respond to me, " +
+                                "and state how many emojis have been in your greeting")
+                .build();
+
+        OllamaChatResult chatResult = api.chat(requestModel);
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(), chatResult.getResponseModel().getMessage().getRole().getRoleName());
+        List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
+        assertEquals(1, toolCalls.size());
+        OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
+        assertEquals("sayHello", function.getName());
+        assertEquals(2, function.getArguments().size());
+        Object name = function.getArguments().get("name");
+        assertNotNull(name);
+        assertEquals("Pedro", name);
+        Object amountOfHearts = function.getArguments().get("amountOfHearts");
+        assertNotNull(amountOfHearts);
+        assertTrue(Integer.parseInt(amountOfHearts.toString()) > 1);
+        assertTrue(chatResult.getChatHistory().size() > 2);
+        List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
+        assertNull(finalToolCalls);
+    }
+
+    @Test
+    @Order(14)
+    void testChatWithToolsAndStream() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+        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 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"), arguments.get("employee-address"), arguments.get("employee-phone"));
+                    }
+                })
+                .build();
+
+        api.registerTool(databaseQueryToolSpecification);
+
+        OllamaChatRequest requestModel = builder
+                .withMessage(OllamaChatMessageRole.USER,
+                        "Give me the ID of the employee named 'Rahul Kumar'?")
+                .build();
+
+        StringBuffer sb = new StringBuffer();
+
+        OllamaChatResult chatResult = api.chat(requestModel, (s) -> {
+            LOG.info(s);
+            String substring = s.substring(sb.toString().length());
+            LOG.info(substring);
+            sb.append(substring);
+        });
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertNotNull(chatResult.getResponseModel().getMessage().getContent());
+        assertEquals(sb.toString().trim(), chatResult.getResponseModel().getMessage().getContent().trim());
+    }
+
+    @Test
+    @Order(15)
+    void testChatWithStream() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String chatModel = "llama3.2:1b";
+        api.pullModel(chatModel);
+        OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(chatModel);
+        OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER,
+                        "What is the capital of France? And what's France's connection with Mona Lisa?")
+                .build();
+
+        StringBuffer sb = new StringBuffer();
+
+        OllamaChatResult chatResult = api.chat(requestModel, (s) -> {
+            LOG.info(s);
+            String substring = s.substring(sb.toString().length(), s.length());
+            LOG.info(substring);
+            sb.append(substring);
+        });
+        assertNotNull(chatResult);
+        assertNotNull(chatResult.getResponseModel());
+        assertNotNull(chatResult.getResponseModel().getMessage());
+        assertNotNull(chatResult.getResponseModel().getMessage().getContent());
+        assertEquals(sb.toString().trim(), chatResult.getResponseModel().getMessage().getContent().trim());
+    }
+
+
+    @Test
+    @Order(17)
+    void testAskModelWithOptionsAndImageURLs() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String imageModel = "llava";
+        api.pullModel(imageModel);
+
+        OllamaResult result =
+                api.generateWithImageURLs(
+                        imageModel,
+                        "What is in this image?",
+                        List.of(
+                                "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg"),
+                        new OptionsBuilder().build());
+        assertNotNull(result);
+        assertNotNull(result.getResponse());
+        assertFalse(result.getResponse().isEmpty());
+    }
+
+    @Test
+    @Order(18)
+    void testAskModelWithOptionsAndImageFiles() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String imageModel = "llava";
+        api.pullModel(imageModel);
+        File imageFile = getImageFileFromClasspath("dog-on-a-boat.jpg");
+        try {
+            OllamaResult result =
+                    api.generateWithImageFiles(
+                            imageModel,
+                            "What is in this image?",
+                            List.of(imageFile),
+                            new OptionsBuilder().build());
+            assertNotNull(result);
+            assertNotNull(result.getResponse());
+            assertFalse(result.getResponse().isEmpty());
+        } catch (IOException | OllamaBaseException | InterruptedException e) {
+            fail(e);
+        }
+    }
+
+
+
+    @Test
+    @Order(20)
+    void testAskModelWithOptionsAndImageFilesStreamed() throws OllamaBaseException, IOException, URISyntaxException, InterruptedException {
+        String imageModel = "llava";
+        api.pullModel(imageModel);
+
+        File imageFile = getImageFileFromClasspath("dog-on-a-boat.jpg");
+
+        StringBuffer sb = new StringBuffer();
+
+        OllamaResult result = api.generateWithImageFiles(imageModel,
+                "What is in this image?", List.of(imageFile), new OptionsBuilder().build(), (s) -> {
+                    LOG.info(s);
+                    String substring = s.substring(sb.toString().length(), s.length());
+                    LOG.info(substring);
+                    sb.append(substring);
+                });
+        assertNotNull(result);
+        assertNotNull(result.getResponse());
+        assertFalse(result.getResponse().isEmpty());
+        assertEquals(sb.toString().trim(), result.getResponse().trim());
+    }
+
+    private File getImageFileFromClasspath(String fileName) {
+        ClassLoader classLoader = getClass().getClassLoader();
+        return new File(Objects.requireNonNull(classLoader.getResource(fileName)).getFile());
+    }
+}
+//
+//@Data
+//class Config {
+//    private String ollamaURL;
+//    private String model;
+//    private String imageModel;
+//    private int requestTimeoutSeconds;
+//
+//    public Config() {
+//        Properties properties = new Properties();
+//        try (InputStream input =
+//                     getClass().getClassLoader().getResourceAsStream("test-config.properties")) {
+//            if (input == null) {
+//                throw new RuntimeException("Sorry, unable to find test-config.properties");
+//            }
+//            properties.load(input);
+//            this.ollamaURL = properties.getProperty("ollama.url");
+//            this.model = properties.getProperty("ollama.model");
+//            this.imageModel = properties.getProperty("ollama.model.image");
+//            this.requestTimeoutSeconds =
+//                    Integer.parseInt(properties.getProperty("ollama.request-timeout-seconds"));
+//        } catch (IOException e) {
+//            throw new RuntimeException("Error loading properties", e);
+//        }
+//    }
+//}
--- a/src/test/java/io/github/ollama4j/integrationtests/TestRealAPIs.java
+++ b/src/test/java/io/github/ollama4j/integrationtests/TestRealAPIs.java
@@ -1,622 +0,0 @@
-package io.github.ollama4j.integrationtests;
-
-import io.github.ollama4j.OllamaAPI;
-import io.github.ollama4j.exceptions.OllamaBaseException;
-import io.github.ollama4j.models.chat.*;
-import io.github.ollama4j.models.response.ModelDetail;
-import io.github.ollama4j.models.response.OllamaResult;
-import io.github.ollama4j.models.embeddings.OllamaEmbeddingsRequestBuilder;
-import io.github.ollama4j.models.embeddings.OllamaEmbeddingsRequestModel;
-import io.github.ollama4j.samples.AnnotatedTool;
-import io.github.ollama4j.tools.OllamaToolCallsFunction;
-import io.github.ollama4j.tools.ToolFunction;
-import io.github.ollama4j.tools.Tools;
-import io.github.ollama4j.tools.annotations.OllamaToolService;
-import io.github.ollama4j.utils.OptionsBuilder;
-import lombok.Data;
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Order;
-import org.junit.jupiter.api.Test;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
-
-import java.io.File;
-import java.io.IOException;
-import java.io.InputStream;
-import java.net.ConnectException;
-import java.net.URISyntaxException;
-import java.net.http.HttpConnectTimeoutException;
-import java.util.*;
-
-import static org.junit.jupiter.api.Assertions.*;
-
-@OllamaToolService(providers = {AnnotatedTool.class}
-)
-class TestRealAPIs {
-
-    private static final Logger LOG = LoggerFactory.getLogger(TestRealAPIs.class);
-
-    OllamaAPI ollamaAPI;
-    Config config;
-
-    private File getImageFileFromClasspath(String fileName) {
-        ClassLoader classLoader = getClass().getClassLoader();
-        return new File(Objects.requireNonNull(classLoader.getResource(fileName)).getFile());
-    }
-
-    @BeforeEach
-    void setUp() {
-        config = new Config();
-        ollamaAPI = new OllamaAPI(config.getOllamaURL());
-        ollamaAPI.setRequestTimeoutSeconds(config.getRequestTimeoutSeconds());
-        ollamaAPI.setVerbose(true);
-    }
-
-    @Test
-    @Order(1)
-    void testWrongEndpoint() {
-        OllamaAPI ollamaAPI = new OllamaAPI("http://wrong-host:11434");
-        assertThrows(ConnectException.class, ollamaAPI::listModels);
-    }
-
-    @Test
-    @Order(1)
-    void testEndpointReachability() {
-        try {
-            assertNotNull(ollamaAPI.listModels());
-        } catch (HttpConnectTimeoutException e) {
-            fail(e.getMessage());
-        } catch (Exception e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(2)
-    void testListModels() {
-        testEndpointReachability();
-        try {
-            assertNotNull(ollamaAPI.listModels());
-            ollamaAPI.listModels().forEach(System.out::println);
-        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(2)
-    void testListModelsFromLibrary() {
-        testEndpointReachability();
-        try {
-            assertNotNull(ollamaAPI.listModelsFromLibrary());
-            ollamaAPI.listModelsFromLibrary().forEach(System.out::println);
-        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(2)
-    void testPullModel() {
-        testEndpointReachability();
-        try {
-            ollamaAPI.pullModel(config.getModel());
-            boolean found =
-                    ollamaAPI.listModels().stream()
-                            .anyMatch(model -> model.getModel().equalsIgnoreCase(config.getModel()));
-            assertTrue(found);
-        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testListDtails() {
-        testEndpointReachability();
-        try {
-            ModelDetail modelDetails = ollamaAPI.getModelDetails(config.getModel());
-            assertNotNull(modelDetails);
-            System.out.println(modelDetails);
-        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithDefaultOptions() {
-        testEndpointReachability();
-        try {
-            OllamaResult result =
-                    ollamaAPI.generate(
-                            config.getModel(),
-                            "What is the capital of France? And what's France's connection with Mona Lisa?",
-                            false,
-                            new OptionsBuilder().build());
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithDefaultOptionsStreamed() {
-        testEndpointReachability();
-        try {
-            StringBuffer sb = new StringBuffer("");
-            OllamaResult result = ollamaAPI.generate(config.getModel(),
-                    "What is the capital of France? And what's France's connection with Mona Lisa?",
-                    false,
-                    new OptionsBuilder().build(), (s) -> {
-                        LOG.info(s);
-                        String substring = s.substring(sb.toString().length(), s.length());
-                        LOG.info(substring);
-                        sb.append(substring);
-                    });
-
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-            assertEquals(sb.toString().trim(), result.getResponse().trim());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithOptions() {
-        testEndpointReachability();
-        try {
-            OllamaResult result =
-                    ollamaAPI.generate(
-                            config.getModel(),
-                            "What is the capital of France? And what's France's connection with Mona Lisa?",
-                            true,
-                            new OptionsBuilder().setTemperature(0.9f).build());
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChat() {
-        testEndpointReachability();
-        try {
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-            OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "What is the capital of France?")
-                    .withMessage(OllamaChatMessageRole.ASSISTANT, "Should be Paris!")
-                    .withMessage(OllamaChatMessageRole.USER, "And what is the second larges city?")
-                    .build();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertFalse(chatResult.getResponseModel().getMessage().getContent().isBlank());
-            assertEquals(4, chatResult.getChatHistory().size());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithSystemPrompt() {
-        testEndpointReachability();
-        try {
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-            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();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertFalse(chatResult.getResponseModel().getMessage().getContent().isBlank());
-            assertTrue(chatResult.getResponseModel().getMessage().getContent().startsWith("NI"));
-            assertEquals(3, chatResult.getChatHistory().size());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithExplicitToolDefinition() {
-        testEndpointReachability();
-        try {
-            ollamaAPI.setVerbose(true);
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-
-            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);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(),chatResult.getResponseModel().getMessage().getRole().getRoleName());
-            List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
-            assertEquals(1, toolCalls.size());
-            OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
-            assertEquals("get-employee-details", function.getName());
-            assertEquals(1, function.getArguments().size());
-            Object employeeName = function.getArguments().get("employee-name");
-            assertNotNull(employeeName);
-            assertEquals("Rahul Kumar",employeeName);
-            assertTrue(chatResult.getChatHistory().size()>2);
-            List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
-            assertNull(finalToolCalls);
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithAnnotatedToolsAndSingleParam() {
-        testEndpointReachability();
-        try {
-            ollamaAPI.setVerbose(true);
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-
-            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);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(),chatResult.getResponseModel().getMessage().getRole().getRoleName());
-            List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
-            assertEquals(1, toolCalls.size());
-            OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
-            assertEquals("computeImportantConstant", function.getName());
-            assertEquals(1, function.getArguments().size());
-            Object noOfDigits = function.getArguments().get("noOfDigits");
-            assertNotNull(noOfDigits);
-            assertEquals("5", noOfDigits.toString());
-            assertTrue(chatResult.getChatHistory().size()>2);
-            List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
-            assertNull(finalToolCalls);
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithAnnotatedToolsAndMultipleParams() {
-        testEndpointReachability();
-        try {
-            ollamaAPI.setVerbose(true);
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-
-            ollamaAPI.registerAnnotatedTools(new AnnotatedTool());
-
-            OllamaChatRequest requestModel = builder
-                    .withMessage(OllamaChatMessageRole.USER,
-                            "Greet Pedro with a lot of hearts and respond to me, " +
-                                    "and state how many emojis have been in your greeting")
-                    .build();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertEquals(OllamaChatMessageRole.ASSISTANT.getRoleName(),chatResult.getResponseModel().getMessage().getRole().getRoleName());
-            List<OllamaChatToolCalls> toolCalls = chatResult.getChatHistory().get(1).getToolCalls();
-            assertEquals(1, toolCalls.size());
-            OllamaToolCallsFunction function = toolCalls.get(0).getFunction();
-            assertEquals("sayHello", function.getName());
-            assertEquals(2, function.getArguments().size());
-            Object name = function.getArguments().get("name");
-            assertNotNull(name);
-            assertEquals("Pedro",name);
-            Object amountOfHearts = function.getArguments().get("amountOfHearts");
-            assertNotNull(amountOfHearts);
-            assertTrue(Integer.parseInt(amountOfHearts.toString()) > 1);
-            assertTrue(chatResult.getChatHistory().size()>2);
-            List<OllamaChatToolCalls> finalToolCalls = chatResult.getResponseModel().getMessage().getToolCalls();
-            assertNull(finalToolCalls);
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithToolsAndStream() {
-        testEndpointReachability();
-        try {
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getModel());
-            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();
-
-            StringBuffer sb = new StringBuffer();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel, (s) -> {
-                LOG.info(s);
-                String substring = s.substring(sb.toString().length());
-                LOG.info(substring);
-                sb.append(substring);
-            });
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertNotNull(chatResult.getResponseModel().getMessage().getContent());
-            assertEquals(sb.toString().trim(), chatResult.getResponseModel().getMessage().getContent().trim());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithStream() {
-        testEndpointReachability();
-        try {
-            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();
-
-            StringBuffer sb = new StringBuffer("");
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel, (s) -> {
-                LOG.info(s);
-                String substring = s.substring(sb.toString().length(), s.length());
-                LOG.info(substring);
-                sb.append(substring);
-            });
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-            assertNotNull(chatResult.getResponseModel().getMessage());
-            assertNotNull(chatResult.getResponseModel().getMessage().getContent());
-            assertEquals(sb.toString().trim(), chatResult.getResponseModel().getMessage().getContent().trim());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithImageFromFileWithHistoryRecognition() {
-        testEndpointReachability();
-        try {
-            OllamaChatRequestBuilder builder =
-                    OllamaChatRequestBuilder.getInstance(config.getImageModel());
-            OllamaChatRequest requestModel =
-                    builder.withMessage(OllamaChatMessageRole.USER, "What's in the picture?",Collections.emptyList(),
-                            List.of(getImageFileFromClasspath("dog-on-a-boat.jpg"))).build();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-
-            builder.reset();
-
-            requestModel =
-                    builder.withMessages(chatResult.getChatHistory())
-                            .withMessage(OllamaChatMessageRole.USER, "What's the dogs breed?").build();
-
-            chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-            assertNotNull(chatResult.getResponseModel());
-
-
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testChatWithImageFromURL() {
-        testEndpointReachability();
-        try {
-            OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(config.getImageModel());
-            OllamaChatRequest requestModel = builder.withMessage(OllamaChatMessageRole.USER, "What's in the picture?",Collections.emptyList(),
-                            "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg")
-                    .build();
-
-            OllamaChatResult chatResult = ollamaAPI.chat(requestModel);
-            assertNotNull(chatResult);
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithOptionsAndImageFiles() {
-        testEndpointReachability();
-        File imageFile = getImageFileFromClasspath("dog-on-a-boat.jpg");
-        try {
-            OllamaResult result =
-                    ollamaAPI.generateWithImageFiles(
-                            config.getImageModel(),
-                            "What is in this image?",
-                            List.of(imageFile),
-                            new OptionsBuilder().build());
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithOptionsAndImageFilesStreamed() {
-        testEndpointReachability();
-        File imageFile = getImageFileFromClasspath("dog-on-a-boat.jpg");
-        try {
-            StringBuffer sb = new StringBuffer("");
-
-            OllamaResult result = ollamaAPI.generateWithImageFiles(config.getImageModel(),
-                    "What is in this image?", List.of(imageFile), new OptionsBuilder().build(), (s) -> {
-                        LOG.info(s);
-                        String substring = s.substring(sb.toString().length(), s.length());
-                        LOG.info(substring);
-                        sb.append(substring);
-                    });
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-            assertEquals(sb.toString().trim(), result.getResponse().trim());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    void testAskModelWithOptionsAndImageURLs() {
-        testEndpointReachability();
-        try {
-            OllamaResult result =
-                    ollamaAPI.generateWithImageURLs(
-                            config.getImageModel(),
-                            "What is in this image?",
-                            List.of(
-                                    "https://t3.ftcdn.net/jpg/02/96/63/80/360_F_296638053_0gUVA4WVBKceGsIr7LNqRWSnkusi07dq.jpg"),
-                            new OptionsBuilder().build());
-            assertNotNull(result);
-            assertNotNull(result.getResponse());
-            assertFalse(result.getResponse().isEmpty());
-        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
-            fail(e);
-        }
-    }
-
-    @Test
-    @Order(3)
-    public void testEmbedding() {
-        testEndpointReachability();
-        try {
-            OllamaEmbeddingsRequestModel request = OllamaEmbeddingsRequestBuilder
-                    .getInstance(config.getModel(), "What is the capital of France?").build();
-
-            List<Double> embeddings = ollamaAPI.generateEmbeddings(request);
-
-            assertNotNull(embeddings);
-            assertFalse(embeddings.isEmpty());
-        } catch (IOException | OllamaBaseException | InterruptedException e) {
-            fail(e);
-        }
-    }
-}
-
-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"), arguments.get("employee-address"), arguments.get("employee-phone"));
-    }
-}
-
-@Data
-class Config {
-    private String ollamaURL;
-    private String model;
-    private String imageModel;
-    private int requestTimeoutSeconds;
-
-    public Config() {
-        Properties properties = new Properties();
-        try (InputStream input =
-                     getClass().getClassLoader().getResourceAsStream("test-config.properties")) {
-            if (input == null) {
-                throw new RuntimeException("Sorry, unable to find test-config.properties");
-            }
-            properties.load(input);
-            this.ollamaURL = properties.getProperty("ollama.url");
-            this.model = properties.getProperty("ollama.model");
-            this.imageModel = properties.getProperty("ollama.model.image");
-            this.requestTimeoutSeconds =
-                    Integer.parseInt(properties.getProperty("ollama.request-timeout-seconds"));
-        } catch (IOException e) {
-            throw new RuntimeException("Error loading properties", e);
-        }
-    }
-
-
-}
--- a/src/test/java/io/github/ollama4j/unittests/TestMockedAPIs.java
+++ b/src/test/java/io/github/ollama4j/unittests/TestMockedAPIs.java
@@ -6,6 +6,7 @@ import io.github.ollama4j.exceptions.RoleNotFoundException;
 import io.github.ollama4j.models.chat.OllamaChatMessageRole;
 import io.github.ollama4j.models.embeddings.OllamaEmbedRequestModel;
 import io.github.ollama4j.models.embeddings.OllamaEmbedResponseModel;
+import io.github.ollama4j.models.request.CustomModelRequest;
 import io.github.ollama4j.models.response.ModelDetail;
 import io.github.ollama4j.models.response.OllamaAsyncResultStreamer;
 import io.github.ollama4j.models.response.OllamaResult;
@@ -52,12 +53,11 @@ class TestMockedAPIs {
    @Test
    void testCreateModel() {
        OllamaAPI ollamaAPI = Mockito.mock(OllamaAPI.class);
-        String model = OllamaModelType.LLAMA2;
-        String modelFilePath = "FROM llama2\nSYSTEM You are mario from Super Mario Bros.";
+        CustomModelRequest customModelRequest = CustomModelRequest.builder().model("mario").from("llama3.2:latest").system("You are Mario from Super Mario Bros.").build();
        try {
-            doNothing().when(ollamaAPI).createModelWithModelFileContents(model, modelFilePath);
-            ollamaAPI.createModelWithModelFileContents(model, modelFilePath);
-            verify(ollamaAPI, times(1)).createModelWithModelFileContents(model, modelFilePath);
+            doNothing().when(ollamaAPI).createModel(customModelRequest);
+            ollamaAPI.createModel(customModelRequest);
+            verify(ollamaAPI, times(1)).createModel(customModelRequest);
        } catch (IOException | OllamaBaseException | InterruptedException | URISyntaxException e) {
            throw new RuntimeException(e);
        }
Author	SHA1	Message	Date
Amith Koujalgi	c9db51a71e	Merge pull request #107 from ollama4j/integration-tests-updates All checks were successful Mark stale issues / stale (push) Successful in 21s Details test	2025-03-18 23:29:21 +05:30
Amith Koujalgi	681a692ca9	Updated integration tests	2025-03-18 23:18:42 +05:30
Amith Koujalgi	9a6065fdb3	Updated integration tests	2025-03-18 23:07:19 +05:30
Amith Koujalgi	e245d9633f	Updated integration tests	2025-03-18 22:54:56 +05:30
Amith Koujalgi	590364dd53	test	2025-03-18 22:33:29 +05:30
Amith Koujalgi	bb4e7477bd	Merge pull request #106 from ollama4j/integration-tests-updates test	2025-03-18 22:32:38 +05:30
Amith Koujalgi	c33c1c8315	test	2025-03-18 22:23:06 +05:30
Amith Koujalgi	05eecdccaa	Merge pull request #105 from ollama4j/integration-tests-refactor Integration tests refactor	2025-03-18 22:17:33 +05:30
Amith Koujalgi	26bb2f9bab	Updated GH workflow	2025-03-18 22:15:58 +05:30
Amith Koujalgi	bbafc95577	Updated GH workflow	2025-03-18 22:13:39 +05:30
Amith Koujalgi	bee09aa626	Updated integration tests	2025-03-18 22:03:04 +05:30
Amith Koujalgi	8aa6e3b066	Updated integration tests	2025-03-18 21:41:20 +05:30
Amith Koujalgi	d40912c638	Merge remote-tracking branch 'origin/main' into integration-tests-refactor	2025-03-18 20:54:04 +05:30
Amith Koujalgi	ba0444194f	Merge pull request #98 from csware/bearertoken Support bearer token	2025-03-18 20:30:08 +05:30
Amith Koujalgi	ac3f505aa6	Switch image model to "moondream" in integration test	2025-03-11 13:12:55 +05:30
Amith Koujalgi	7e5ca53fda	Merge remote-tracking branch 'origin/integration-tests-refactor' into integration-tests-refactor # Conflicts: # Makefile # README.md	2025-03-11 12:28:39 +05:30
Amith Koujalgi	2b0238b9e8	Ensure Docker availability in dev setup and integration tests Updated `README.md` to include Docker as a prerequisite for running integration tests using Testcontainers. Modified the `Makefile` to check for Docker installation during the dev environment setup.	2025-03-11 12:26:35 +05:30
amithkoujalgi	469a0fe491	Refactor - Remove TestRealAPIs and enhance OllamaAPIIntegrationTest - Add dev setup instruction	2025-03-11 12:26:08 +05:30
Amith Koujalgi	983a3617f0	Add dev setup instructions and update pre-commit config	2025-03-11 12:15:19 +05:30
Amith Koujalgi	b638b981c9	Remove unnecessary blank lines from pom.xml Cleaned up redundant blank lines at the end of the pom.xml file to ensure consistent formatting. This helps improve code readability and adheres to standard practices.	2025-03-11 12:05:11 +05:30
amithkoujalgi	fe5078891f	Remove TestRealAPIs and enhance OllamaAPIIntegrationTest	2025-03-11 11:41:51 +05:30
Amith Koujalgi	44b4de9ed9	Merge pull request #102 from ollama4j/update-pre-commit-hook All checks were successful Mark stale issues / stale (push) Successful in 31s Details update-pre-commit-hook	2025-03-11 10:38:05 +05:30
amithkoujalgi	854c0b4acf	test GH action	2025-03-11 10:35:06 +05:30
Amith Koujalgi	18c5d06a6c	Merge pull request #101 from ollama4j/update-pre-commit-hook update-pre-commit-hook	2025-03-11 10:34:10 +05:30
amithkoujalgi	22b403d0b0	Remove unnecessary write permission for packages in workflow	2025-03-11 10:33:14 +05:30
amithkoujalgi	ee0493eb57	Rename and adjust workflows for PR builds and testing. Renamed the PR-related workflow for clarity and replaced `build-on-pr-create.yml` with `build-and-test-on-pr-open.yml` for better naming consistency. Also commented out the push trigger in `run-tests.yml` to refine its activation criteria.	2025-03-11 10:19:34 +05:30
Amith Koujalgi	f966b4b74e	Merge pull request #100 from ollama4j/update-pre-commit-hook update-pre-commit-hook	2025-03-11 10:18:06 +05:30
amithkoujalgi	1dadbacd2c	Enable `no-commit-to-branch` pre-commit hook.	2025-03-11 10:12:03 +05:30
amithkoujalgi	714c16c216	Merge remote-tracking branch 'origin/main'	2025-03-11 10:10:46 +05:30
amithkoujalgi	cf2c510b23	Add integration test step to CI workflow Previously, only unit tests were run during the PR workflow. This update introduces a separate step to run integration tests, ensuring broader test coverage. It enhances build verification by validating both unit and integration aspects.	2025-03-11 10:10:14 +05:30
amithkoujalgi	a0bcc47b2e	Add pre-commit configuration file test	2025-03-11 10:08:57 +05:30
amithkoujalgi	57ecbc2572	Add pre-commit configuration file test	2025-03-11 10:00:11 +05:30
amithkoujalgi	99beb3e6d0	Add pre-commit configuration file test	2025-03-11 09:31:12 +05:30
amithkoujalgi	7756eed9a0	Add pre-commit configuration file Introduce a pre-commit-config.yaml to automate code quality checks and enforce best practices. Includes hooks for file validation, formatting, and commit message standardization, as well as Java-specific quality tools. This ensures consistent coding standards and reduces manual errors.	2025-03-11 09:29:57 +05:30
amithkoujalgi	b795117f0a	Add integration test step to CI workflow Some checks failed Run Unit and Integration Tests / run-tests (push) Failing after 2m2s Details Mark stale issues / stale (push) Successful in 15s Details Previously, only unit tests were run during the PR workflow. This update introduces a separate step to run integration tests, ensuring broader test coverage. It enhances build verification by validating both unit and integration aspects.	2025-03-11 00:20:01 +05:30
amithkoujalgi	0d091d1826	Update integration test	2025-03-11 00:06:30 +05:30
amithkoujalgi	9fd77a6743	Add branch trigger for tests and update README with badge Added a trigger to run tests on pushes to the main branch in the GitHub Actions workflow. Also updated the README to include a badge linking to the test workflow for better visibility.	2025-03-11 00:02:13 +05:30
amithkoujalgi	57a962148b	Update workflow name and job for clarity in testing Renamed the workflow to specify both unit and integration tests. Adjusted the job name to better reflect its purpose and ensured clear descriptions for inputs. These changes enhance readability and intent in the CI configuration.	2025-03-10 23:58:03 +05:30
amithkoujalgi	3c64f2099f	Add GPG plugin with test-skipping configuration Integrated the Maven GPG plugin to sign artifacts during the "verify" phase, with the ability to skip it during tests using a new `skipGpgPluginDuringTests` property. Enhanced the build profiles to manage GPG signing selectively, ensuring smoother test and build workflows.	2025-03-10 23:53:02 +05:30
amithkoujalgi	a9c7f4e5e0	Rename TestAPIsTest to OllamaAPIIntegrationTest	2025-03-10 23:44:18 +05:30
amithkoujalgi	e7f58d4e0d	Add integration tests and enhance test configurations Introduced integration tests for various API functionalities, ensuring comprehensive coverage. Updated test dependencies in `pom.xml` and added handling for unknown JSON properties in the `Model` class. Also included configuration to support running unit and integration tests in the CI workflow.	2025-03-10 23:40:44 +05:30
Sven Strickroth	138497b30f	Introduce BearerAuth class Signed-off-by: Sven Strickroth <email@cs-ware.de>	2025-03-10 14:55:38 +01:00
Sven Strickroth	3a792090e2	Support bearer token May be use as follows: ``` ollamaAPI.setBasicAuth(new BasicAuth() { @Override public String getBasicAuthHeaderValue() { return "Bearer [sometext]"; } }); ``` Signed-off-by: Sven Strickroth <email@cs-ware.de>	2025-03-10 14:39:54 +01:00
amithkoujalgi	7ef859bba5	clean up All checks were successful Mark stale issues / stale (push) Successful in 31s Details	2025-03-09 20:29:34 +05:30
amithkoujalgi	3c30593e1e	clean up All checks were successful Mark stale issues / stale (push) Successful in 31s Details	2025-03-08 17:44:00 +05:30
amithkoujalgi	98b794ca2b	Add a test GitHub Actions workflow to publish to a GitHub repository, Maven repository, and GitHub Pages	2025-03-08 17:24:29 +05:30
amithkoujalgi	bc90a15a68	Add "Examples" link to navbar and footer Added a link to the "Examples" repository in both the navbar and the "Usage" section of the footer. This improves accessibility to code examples, providing users with an easier way to explore practical use cases.	2025-03-08 16:45:43 +05:30
amithkoujalgi	bb4689e94b	Add examples section and GitHub links to docs and README Introduced an examples section in the README to highlight the `ollama4j-examples` repository. Added an iframe and link in the chat API documentation for better reference. Adjusted formatting for improved readability and consistency.	2025-03-08 16:34:00 +05:30
amithkoujalgi	6739c93edc	Refactor workflows and update dependencies. Renamed workflow for clearer purpose and updated project dependencies across multiple packages to newer versions. Improved the `pom.xml` Maven config by adding a build phase and output directory for Javadoc generation. Upgraded several NPM packages, removing deprecated versions and adding license metadata for better dependency management.	2025-03-08 16:05:17 +05:30
amithkoujalgi	c8c30d703b	Refactor code to enhance robustness and clarity Refactored `OllamaChatMessageRole` to simplify custom role creation, guarding against nulls in `OllamaToolsResult`, and made `OllamaChatResult` properties immutable. Improved error handling in `OllamaAPI`, added verbose logs, and ensured safer JSON parsing for tool responses. Introduced `@JsonIgnoreProperties` for better deserialization support.	2025-03-08 15:46:43 +05:30
Amith Koujalgi	419b0369c9	Merge pull request #93 from hboutemy/reproducible-builds All checks were successful Mark stale issues / stale (push) Successful in 34s Details enable Reproducible Builds	2025-02-28 21:57:31 +05:30
Hervé Boutemy	d9a94b95e1	enable Reproducible Builds	2025-02-23 18:02:15 +01:00
Amith Koujalgi	db1db948c8	Merge pull request #94 from hboutemy/release All checks were successful Mark stale issues / stale (push) Successful in 28s Details use release flag instead of old source/target	2025-02-23 19:48:26 +05:30
Hervé Boutemy	41ad780224	use release flag instead of old source/target	2025-02-21 17:14:54 +01:00
Amith Koujalgi	cb58c6a9b0	Updated README.md All checks were successful Mark stale issues / stale (push) Successful in 10s Details	2025-02-17 23:47:48 +05:30
Amith Koujalgi	d1115e0b35	Updated README.md	2025-02-17 23:47:11 +05:30
Amith Koujalgi	740bd3750b	Merge pull request #92 from ollama4j/90 Addresses issue where creation of model was failing	2025-02-17 22:37:20 +05:30
Amith Koujalgi	c9aa6c9e08	Merge branch 'main' into 90	2025-02-17 22:35:38 +05:30
Amith Koujalgi	71bba6ee0d	Added GH action to run tests	2025-02-17 22:33:02 +05:30
Amith Koujalgi	27b2201ff9	Added GH action to run tests	2025-02-17 22:31:56 +05:30
Amith Koujalgi	23d23c4ad7	Added new `createModel` API to make it conform to Ollama's new API - https://github.com/ollama/ollama/blob/main/docs/api.md#create-a-model	2025-02-17 22:25:25 +05:30
amithkoujalgi	e409ff1cf9	Update OllamaAPI.java All checks were successful Mark stale issues / stale (push) Successful in 14s Details	2025-02-03 08:56:49 +05:30
amithkoujalgi	9a12cebb68	Update README.md	2025-02-01 23:13:35 +05:30
amithkoujalgi	24f5bc4fec	Delete close-issue.yml	2025-02-01 09:10:46 +05:30
Amith Koujalgi	d7c313417b	Update label-issue-stale.yml	2025-02-01 09:03:57 +05:30
Amith Koujalgi	b67b4c7eb5	Update publish-docs.yml Some checks failed Close inactive issues / close-issues (push) Has been cancelled Details	2025-02-01 00:10:37 +05:30