diff --git a/ai_integration/__init__.py b/ai_integration/__init__.py
new file mode 100644
index 0000000..0650744
--- /dev/null
+++ b/ai_integration/__init__.py
@@ -0,0 +1 @@
+from . import models
diff --git a/ai_integration/__manifest__.py b/ai_integration/__manifest__.py
new file mode 100644
index 0000000..2fe11aa
--- /dev/null
+++ b/ai_integration/__manifest__.py
@@ -0,0 +1,37 @@
+{
+    'name': 'AI Integration Base',
+    'version': '1.0',
+    'category': 'Technical',
+    'summary': 'Base module for AI integration',
+    'description': """
+AI Integration Base
+==================
+This module provides the base framework for integrating various AI providers
+into Odoo. It includes:
+
+* Abstract interfaces for AI providers
+* Base configuration for AI models
+* Common utilities for AI integration
+""",
+    'author': 'Bemade',
+    'website': 'https://www.bemade.org',
+    'depends': [
+        'base',
+        'web',
+    ],
+    'data': [
+        'security/ai_security.xml',
+        'security/ir_rule.xml',
+        'security/ir.model.access.csv',
+        'views/menu.xml',
+        'views/res_company_views.xml',
+        'views/res_config_settings_views.xml',
+        'views/ai_provider_instance_views.xml',
+        'views/ai_model_views.xml',
+        'views/ai_model_stats_views.xml',
+    ],
+    'installable': True,
+    'application': False,
+    'auto_install': False,
+    'license': 'LGPL-3',
+}
diff --git a/ai_integration/models/__init__.py b/ai_integration/models/__init__.py
new file mode 100644
index 0000000..72eaf6c
--- /dev/null
+++ b/ai_integration/models/__init__.py
@@ -0,0 +1,9 @@
+from .mixins import ai_mixin
+from . import ai_generation_params
+from . import ai_model
+from . import ai_provider_interface
+from . import ai_provider
+from . import ai_provider_instance
+from . import res_config_settings
+from . import res_company
+from . import ai_model_stats
\ No newline at end of file
diff --git a/ai_integration/models/ai_generation_params.py b/ai_integration/models/ai_generation_params.py
new file mode 100644
index 0000000..83a6bd5
--- /dev/null
+++ b/ai_integration/models/ai_generation_params.py
@@ -0,0 +1,36 @@
+from odoo import models, fields, api, _
+
+class AIGenerationParams(models.AbstractModel):
+    _name = 'ai.generation.params'
+    _description = 'AI Generation Parameters'
+
+    # Base Generation Parameters
+    temperature = fields.Float(
+        string='Temperature',
+        help='Controls randomness in generation. Higher values make output more random, lower values more deterministic.',
+        default=0.7)
+    
+    repeat_penalty = fields.Float(
+        string='Repeat Penalty',
+        help='Penalty for repeating tokens. Higher values make repetition less likely.',
+        default=1.1)
+    
+    max_tokens = fields.Integer(
+        string='Max Tokens',
+        help='Maximum number of tokens to generate.',
+        default=2048)
+    
+    stop_sequences = fields.Char(
+        string='Stop Sequences',
+        help='Comma-separated list of sequences where generation should stop.',
+        default='')
+    
+    frequency_penalty = fields.Float(
+        string='Frequency Penalty',
+        help='Penalty for using frequent tokens. Higher values encourage using less frequent tokens.',
+        default=0.0)
+    
+    presence_penalty = fields.Float(
+        string='Presence Penalty',
+        help='Penalty for using tokens already in the text. Higher values encourage using new tokens.',
+        default=0.0)
diff --git a/ai_integration/models/ai_model.py b/ai_integration/models/ai_model.py
new file mode 100644
index 0000000..0487c7e
--- /dev/null
+++ b/ai_integration/models/ai_model.py
@@ -0,0 +1,80 @@
+# -*- coding: utf-8 -*-
+from odoo import models, fields, api, _
+from odoo.exceptions import UserError
+
+
+class AIModel(models.Model):
+    _name = 'ai.model'
+    _description = 'AI Model'
+    _order = 'sequence, name'
+    _check_company = False  # Disable automatic company checks
+
+    active = fields.Boolean(
+        string='Active',
+        default=True,
+        help='Whether this model is active and available for use')
+
+    name = fields.Char(
+        string='Name',
+        required=True,
+        help='Name of the AI model'
+    )
+    
+    identifier = fields.Char(
+        string='Identifier',
+        required=True,
+        help='Technical identifier of the model (e.g., gpt-3.5-turbo, mistral-7b)'
+    )
+    
+    provider_instance_id = fields.Many2one(
+        'ai.provider.instance',
+        string='Provider Instance',
+        required=True,
+        ondelete='cascade',
+        help='Provider instance this model belongs to'
+    )
+    
+    provider_type = fields.Selection(
+        related='provider_instance_id.provider_type',
+        string='Provider Type',
+        store=True,
+        readonly=True,
+        help='Type of AI provider'
+    )
+    
+    description = fields.Text(
+        string='Description',
+        help='Description of the model and its capabilities'
+    )
+    
+    sequence = fields.Integer(
+        string='Sequence',
+        default=10,
+        help='Sequence for ordering models in lists and dropdowns'
+    )
+    
+    is_active = fields.Boolean(
+        string='Active',
+        default=True,
+        help='Whether this model is active'
+    )
+    
+    context_window = fields.Integer(
+        string='Context Window',
+        default=2048,
+        help='Maximum number of tokens in the context window'
+    )
+    
+    _sql_constraints = [
+        ('unique_identifier_provider',
+         'unique(identifier, provider_instance_id)',
+         'The model identifier must be unique per provider instance!')
+    ]
+    
+    def name_get(self):
+        """Custom name_get to include provider instance in display name."""
+        result = []
+        for model in self:
+            name = f"{model.name} ({model.provider_instance_id.name})"
+            result.append((model.id, name))
+        return result
diff --git a/ai_integration/models/ai_model_stats.py b/ai_integration/models/ai_model_stats.py
new file mode 100644
index 0000000..89442f6
--- /dev/null
+++ b/ai_integration/models/ai_model_stats.py
@@ -0,0 +1,81 @@
+from odoo import models, fields, api
+from datetime import datetime, timedelta
+
+class AIModelStats(models.Model):
+    _name = 'ai.model.stats'
+    _description = 'AI Model Usage Statistics'
+    _order = 'date desc'
+
+    model_id = fields.Many2one('ai.model', string='Model', required=True, ondelete='cascade')
+    provider_instance_id = fields.Many2one(
+        related='model_id.provider_instance_id', 
+        string='Provider Instance',
+        store=True)
+        
+    date = fields.Date(string='Date', required=True, default=fields.Date.context_today)
+    request_count = fields.Integer(string='Number of Requests', default=0)
+    token_count = fields.Integer(string='Total Tokens', default=0)
+    avg_response_time = fields.Float(string='Average Response Time (ms)', digits=(10, 2), default=0)
+    error_count = fields.Integer(string='Number of Errors', default=0)
+    version = fields.Char(string='Model Version', help='Version of the model when stats were recorded')
+
+    _sql_constraints = [
+        ('unique_model_date', 'unique(model_id, date)', 'Only one stat entry per model per day is allowed.')
+    ]
+
+    def _update_stats(self, model, tokens, response_time, error=False, version=None):
+        """Update statistics for a model."""
+        today = fields.Date.context_today(self)
+        stats = self.search([
+            ('model_id', '=', model.id),
+            ('date', '=', today)
+        ])
+
+        if not stats:
+            stats = self.create({
+                'model_id': model.id,
+                'date': today,
+                'version': version
+            })
+
+        # Update statistics
+        new_count = stats.request_count + 1
+        new_tokens = stats.token_count + tokens
+        new_time = ((stats.avg_response_time * stats.request_count) + response_time) / new_count
+        new_errors = stats.error_count + (1 if error else 0)
+
+        stats.write({
+            'request_count': new_count,
+            'token_count': new_tokens,
+            'avg_response_time': new_time,
+            'error_count': new_errors,
+            'version': version or stats.version  # Update version if provided
+        })
+
+    @api.model
+    def get_model_stats(self, model_id, days=30):
+        """Get statistics for a model over the specified number of days."""
+        start_date = fields.Date.today() - timedelta(days=days)
+        stats = self.search([
+            ('model_id', '=', model_id),
+            ('date', '>=', start_date)
+        ])
+        
+        return {
+            'daily_stats': [{
+                'date': stat.date,
+                'requests': stat.request_count,
+                'tokens': stat.token_count,
+                'response_time': stat.avg_response_time,
+                'errors': stat.error_count,
+                'version': stat.version
+            } for stat in stats],
+            'summary': {
+                'total_requests': sum(stat.request_count for stat in stats),
+                'total_tokens': sum(stat.token_count for stat in stats),
+                'avg_response_time': sum(stat.avg_response_time * stat.request_count for stat in stats) / 
+                                   (sum(stat.request_count for stat in stats) if stats else 1),
+                'total_errors': sum(stat.error_count for stat in stats),
+                'versions_used': list(set(stat.version for stat in stats if stat.version))
+            }
+        }
diff --git a/ai_integration/models/ai_provider.py b/ai_integration/models/ai_provider.py
new file mode 100644
index 0000000..c75232a
--- /dev/null
+++ b/ai_integration/models/ai_provider.py
@@ -0,0 +1,73 @@
+# -*- coding: utf-8 -*-
+import logging
+from odoo import models, fields, api, _
+from odoo.exceptions import UserError
+
+_logger = logging.getLogger(__name__)
+
+
+class AIProvider(models.Model):
+    _name = 'ai.provider'
+    _description = 'AI Provider'
+    _inherit = ['ai.provider.interface']
+
+    name = fields.Char(string='Name', required=True)
+    code = fields.Char(string='Code', required=True)
+    description = fields.Text(string='Description')
+    default_host = fields.Char(string='Default Host')
+    active = fields.Boolean(string='Active', default=True)
+
+    @api.model
+    def send_message(self, message, **kwargs):
+        """Send a message to the AI provider and get a response.
+        
+        Args:
+            message (dict): The message to send
+            **kwargs: Additional provider-specific parameters
+            
+        Returns:
+            str: The response from the AI provider
+            
+        Raises:
+            NotImplementedError: Must be implemented by specific providers
+        """
+        raise NotImplementedError(_("Method send_message must be implemented by specific AI providers"))
+
+    @api.model
+    def get_models(self):
+        """Get the list of available models from the provider.
+        
+        Returns:
+            list: List of model information dictionaries
+            
+        Raises:
+            NotImplementedError: Must be implemented by specific providers
+        """
+        raise NotImplementedError(_("Method get_models must be implemented by specific AI providers"))
+    
+    @api.model
+    def test_connection(self):
+        """Test the connection to the AI provider.
+        
+        Returns:
+            bool: True if connection is successful
+            
+        Raises:
+            NotImplementedError: Must be implemented by specific providers
+        """
+        raise NotImplementedError(_("Method test_connection must be implemented by specific AI providers"))
+    
+    def _handle_error(self, error, context=''):
+        """Common error handling for AI provider operations.
+        
+        Args:
+            error (Exception): The error that occurred
+            context (str): Additional context about where the error occurred
+            
+        Returns:
+            tuple: (success, message)
+        """
+        error_msg = str(error)
+        log_msg = f"AI Provider Error{' in ' + context if context else ''}: {error_msg}"
+        _logger.error(log_msg)
+        return False, error_msg
diff --git a/ai_integration/models/ai_provider_instance.py b/ai_integration/models/ai_provider_instance.py
new file mode 100644
index 0000000..14622c3
--- /dev/null
+++ b/ai_integration/models/ai_provider_instance.py
@@ -0,0 +1,101 @@
+# -*- coding: utf-8 -*-
+from odoo import models, fields, api, _
+from odoo.exceptions import UserError
+
+
+class AIProviderInstance(models.Model):
+    _name = 'ai.provider.instance'
+    _description = 'AI Provider Instance'
+    _order = 'name'
+    _check_company = False  # Disable automatic company checks
+    _inherit = ['ai.generation.params']
+
+    active = fields.Boolean(
+        string='Active',
+        default=True,
+        help='Whether this provider instance is active and available for use')
+
+    name = fields.Char(
+        string='Name',
+        required=True,
+        help='Name of this provider instance (e.g., "OpenWebUI Production", "Ollama Local")'
+    )
+    
+    provider_id = fields.Many2one(
+        'ai.provider',
+        string='Provider',
+        required=True,
+        ondelete='restrict',
+        help='The AI provider configuration'
+    )
+
+    provider_type = fields.Selection(
+        selection=[
+            ('none', 'None')  # Base selection, will be extended by provider modules
+        ],
+        string='Provider Type',
+        required=True,
+        ondelete={'none': 'set default'},
+        default='none',
+        help='Type of AI provider'
+    )
+    
+    host = fields.Char(
+        string='Host',
+        required=True,
+        help='Host address (e.g., "http://localhost:8080" or "https://api.example.com")'
+    )
+    
+    api_key = fields.Char(
+        string='API Key',
+        help='API key if required by the provider'
+    )
+    
+    
+    @api.onchange('provider_id')
+    def _onchange_provider_id(self):
+        if self.provider_id:
+            self.provider_type = self.provider_id.code
+    
+    model_ids = fields.One2many(
+        'ai.model',
+        'provider_instance_id',
+        copy=True,
+        string='Available Models'
+    )
+    
+    timeout = fields.Integer(
+        string='Timeout',
+        default=60,
+        help='Maximum wait time for API calls (in seconds)'
+    )
+    
+    max_retries = fields.Integer(
+        string='Max Retries',
+        default=3,
+        help='Maximum number of retry attempts for failed API calls'
+    )
+    
+    _sql_constraints = [
+        ('name_uniq',
+         'unique(name)',
+         'Provider instance name must be unique!')
+    ]
+    
+    def test_connection(self):
+        """Test the connection to this provider instance."""
+        self.ensure_one()
+        provider_model = f'ai.provider.{self.provider_type}'
+        if provider_model not in self.env:
+            raise UserError(_("Provider type %s is not installed", self.provider_type))
+            
+        return self.env[provider_model].test_connection(self)
+    
+    def sync_models(self):
+        """Synchronize models from this provider instance."""
+        self.ensure_one()
+        provider_model = f'ai.provider.{self.provider_type}'
+        if provider_model not in self.env:
+            raise UserError(_("Provider type %s is not installed", self.provider_type))
+            
+        return self.env[provider_model].sync_models(self)
diff --git a/ai_integration/models/ai_provider_interface.py b/ai_integration/models/ai_provider_interface.py
new file mode 100644
index 0000000..5f23fc6
--- /dev/null
+++ b/ai_integration/models/ai_provider_interface.py
@@ -0,0 +1,55 @@
+# -*- coding: utf-8 -*-
+import logging
+from odoo import models, api, _
+from odoo.exceptions import UserError
+
+_logger = logging.getLogger(__name__)
+
+
+class AIProviderInterface(models.AbstractModel):
+    _name = 'ai.provider.interface'
+    _description = 'AI Provider Interface'
+
+    @api.model
+    def send_message(self, message, **kwargs):
+        """Send a message to the AI provider and get a response.
+        
+        Args:
+            message (dict): The message to send
+            **kwargs: Additional provider-specific parameters
+            
+        Returns:
+            dict: The response from the AI provider
+        """
+        raise NotImplementedError()
+
+    def _get_provider_type(self):
+        """Get the provider type code.
+        
+        Returns:
+            str: The provider type code
+        """
+        raise NotImplementedError()
+
+    def _get_model_info(self, instance, model_name):
+        """Get detailed information about a specific model.
+        
+        Args:
+            instance (ai.provider.instance): The provider instance
+            model_name (str): Name of the model
+            
+        Returns:
+            dict: Model information
+        """
+        raise NotImplementedError()
+
+    def _list_models(self, instance):
+        """List available models for this provider instance.
+        
+        Args:
+            instance (ai.provider.instance): The provider instance
+            
+        Returns:
+            list: List of available models
+        """
+        raise NotImplementedError()
diff --git a/ai_integration/models/mixins/__init__.py b/ai_integration/models/mixins/__init__.py
new file mode 100644
index 0000000..6d1b50e
--- /dev/null
+++ b/ai_integration/models/mixins/__init__.py
@@ -0,0 +1,2 @@
+from . import ai_mixin
+from . import ai_generation_params
diff --git a/ai_integration/models/mixins/ai_generation_params.py b/ai_integration/models/mixins/ai_generation_params.py
new file mode 100644
index 0000000..71792aa
--- /dev/null
+++ b/ai_integration/models/mixins/ai_generation_params.py
@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+from odoo import models, fields, api, _
+
+class AIGenerationParams(models.AbstractModel):
+    """Mixin for common AI generation parameters across different providers."""
+    _name = 'ai.generation.params'
+    _description = 'Common AI Generation Parameters'
+
+    # Basic Generation Parameters
+    temperature = fields.Float(
+        string='Temperature',
+        help='Sampling temperature. Range: [0.0 - 2.0]. Higher values make output more random, lower values more deterministic.',
+        default=0.7,
+        digits=(3, 2))
+    
+    top_p = fields.Float(
+        string='Top P',
+        help='Nucleus sampling: limits cumulative probability of tokens to sample from. Range: [0.0 - 1.0].',
+        default=0.9,
+        digits=(3, 2))
+    
+    max_tokens = fields.Integer(
+        string='Max Tokens',
+        help='Maximum number of tokens to generate. Range: [1 - 32768].',
+        default=2048)
+    
+    stop_sequences = fields.Char(
+        string='Stop Sequences',
+        help='Comma-separated list of sequences where the model should stop generating')
+
+    # System Settings
+    timeout = fields.Integer(
+        string='Timeout',
+        help='Request timeout in seconds. Range: [1 - 300].',
+        default=30)
+    
+    retry_count = fields.Integer(
+        string='Retry Count',
+        help='Number of times to retry failed requests. Range: [0 - 5].',
+        default=3)
+    
+    stream_response = fields.Boolean(
+        string='Stream Response',
+        help='Enable response streaming for real-time output.',
+        default=False)
+
+    def _get_base_generation_params(self):
+        """Get common generation parameters as a dictionary."""
+        self.ensure_one()
+        
+        params = {
+            'temperature': self.temperature,
+            'top_p': self.top_p,
+            'max_tokens': self.max_tokens,
+            'stream': self.stream_response,
+        }
+        
+        if self.stop_sequences:
+            params['stop'] = [
+                seq.strip() 
+                for seq in self.stop_sequences.split(',')
+            ]
+        
+        return params
diff --git a/ai_integration/models/mixins/ai_mixin.py b/ai_integration/models/mixins/ai_mixin.py
new file mode 100644
index 0000000..f8516ea
--- /dev/null
+++ b/ai_integration/models/mixins/ai_mixin.py
@@ -0,0 +1,150 @@
+# -*- coding: utf-8 -*-
+import logging
+from typing import List, Dict, Any, Optional
+from odoo import models, api, fields, _
+from odoo.exceptions import UserError
+
+_logger = logging.getLogger(__name__)
+
+
+class AIMixin(models.AbstractModel):
+    _name = 'ai.mixin'
+    _description = 'AI Integration Mixin'
+
+    def _get_ai_provider_instance(self, provider_instance_id=None):
+        """Get the AI provider instance to use.
+        
+        Args:
+            provider_instance_id: Optional specific provider instance to use
+            
+        Returns:
+            ai.provider.instance: The provider instance to use
+            
+        Raises:
+            UserError: If no provider instance is configured or available
+        """
+        if provider_instance_id:
+            instance = self.env['ai.provider.instance'].browse(provider_instance_id)
+            if not instance.exists():
+                raise UserError(_("Invalid provider instance"))
+        else:
+            provider_id = self.env['ir.config_parameter'].sudo().get_param('ai_integration.default_provider_instance_id')
+            if not provider_id:
+                raise UserError(_("No default AI provider instance configured"))
+            instance = self.env['ai.provider.instance'].browse(int(provider_id))
+            if not instance.exists():
+                raise UserError(_("Default provider instance not found"))
+        
+        if not instance.is_active:
+            raise UserError(_("The selected AI provider instance is not active"))
+            
+        return instance
+
+    def _get_ai_model(self, model_id=None, provider_instance=None):
+        """Get the AI model to use.
+        
+        Args:
+            model_id: Optional specific model to use
+            provider_instance: Optional provider instance (to avoid duplicate lookup)
+            
+        Returns:
+            ai.model: The model to use
+            
+        Raises:
+            UserError: If no model is configured or available
+        """
+        provider_instance = provider_instance or self._get_ai_provider_instance()
+        
+        if model_id:
+            model = self.env['ai.model'].browse(model_id)
+            if not model.exists():
+                raise UserError(_("Invalid AI model"))
+            if model.provider_instance_id != provider_instance:
+                raise UserError(_("The specified model does not belong to the selected provider instance"))
+        else:
+            model_id = self.env['ir.config_parameter'].sudo().get_param('ai_integration.default_model_id')
+            if not model_id:
+                raise UserError(_("No default AI model configured"))
+            model = self.env['ai.model'].browse(int(model_id))
+            if not model.exists():
+                raise UserError(_("Default AI model not found"))
+        
+        if not model.is_active:
+            raise UserError(_("The selected AI model is not active"))
+            
+        return model
+
+    def send_ai_message(self, message: Dict[str, Any], provider_instance_id: Optional[int] = None,
+                       model_id: Optional[int] = None, **kwargs) -> str:
+        """Send a message to an AI provider instance.
+        
+        Args:
+            message: The message to send
+            provider_instance_id: Optional specific provider instance to use
+            model_id: Optional specific model to use
+            **kwargs: Additional provider-specific parameters
+            
+        Returns:
+            str: The response from the AI provider
+            
+        Raises:
+            UserError: If there's an error with the AI provider
+        """
+        try:
+            instance = self._get_ai_provider_instance(provider_instance_id)
+            model = self._get_ai_model(model_id, instance)
+            return instance.send_message(message, model, **kwargs)
+        except Exception as e:
+            _logger.error("Error sending AI message: %s", str(e))
+            raise UserError(_("Error communicating with AI provider: %s", str(e)))
+
+    def process_batch_ai(self, items: List[Any], processor_func: callable,
+                        provider_instance_id: Optional[int] = None,
+                        model_id: Optional[int] = None, **kwargs) -> List[Any]:
+        """Process a batch of items using AI.
+        
+        Args:
+            items: List of items to process
+            processor_func: Function that processes each item and returns AI message
+            provider_instance_id: Optional specific provider instance to use
+            model_id: Optional specific model to use
+            **kwargs: Additional parameters passed to processor_func
+            
+        Returns:
+            List[Any]: List of processed results
+            
+        Example:
+            def _process_item(item, **kwargs):
+                return {'role': 'user', 'content': f'Analyze: {item.name}'}
+                
+            results = self.process_batch_ai(items, _process_item)
+        """
+        if not items:
+            return []
+
+        company = self.env.company
+        batch_size = company.ai_batch_size or 10
+        results = []
+
+        for i in range(0, len(items), batch_size):
+            batch = items[i:i + batch_size]
+            batch_messages = [processor_func(item, **kwargs) for item in batch]
+            
+            for message in batch_messages:
+                result = self.send_ai_message(
+                    message,
+                    provider_instance_id=provider_instance_id,
+                    model_id=model_id
+                )
+                results.append(result)
+
+        return results
+            
+    def _prepare_ai_message(self, **kwargs):
+        """Prepare a message to send to the AI provider.
+        This method should be implemented by models using this mixin.
+        
+        Returns:
+            dict: The prepared message
+        """
+        raise NotImplementedError(_("Method _prepare_ai_message must be implemented by models using AI mixin"))
diff --git a/ai_integration/models/res_company.py b/ai_integration/models/res_company.py
new file mode 100644
index 0000000..07891a7
--- /dev/null
+++ b/ai_integration/models/res_company.py
@@ -0,0 +1,21 @@
+# -*- coding: utf-8 -*-
+from odoo import models, fields, api, _
+from odoo.exceptions import UserError
+
+
+class ResCompany(models.Model):
+    _inherit = 'res.company'
+
+    def _get_default_provider_instance(self):
+        """Get the default AI provider instance from config parameters"""
+        provider_id = self.env['ir.config_parameter'].sudo().get_param('ai_integration.default_provider_instance_id')
+        return self.env['ai.provider.instance'].browse(int(provider_id)) if provider_id else False
+
+    def _get_default_model(self):
+        """Get the default AI model from config parameters"""
+        model_id = self.env['ir.config_parameter'].sudo().get_param('ai_integration.default_model_id')
+        return self.env['ai.model'].browse(int(model_id)) if model_id else False
+
+    def _get_ai_batch_size(self):
+        """Get the AI batch size from config parameters"""
+        return int(self.env['ir.config_parameter'].sudo().get_param('ai_integration.ai_batch_size', '100'))
diff --git a/ai_integration/models/res_config_settings.py b/ai_integration/models/res_config_settings.py
new file mode 100644
index 0000000..e2a5bed
--- /dev/null
+++ b/ai_integration/models/res_config_settings.py
@@ -0,0 +1,28 @@
+from odoo import api, fields, models
+
+class ResConfigSettings(models.TransientModel):
+    _inherit = 'res.config.settings'
+
+    default_provider_instance_id = fields.Many2one(
+        'ai.provider.instance',
+        string='Default AI Provider Instance',
+        config_parameter='ai_integration.default_provider_instance_id',
+        default_model='ai.provider.instance')
+    
+    default_model_id = fields.Many2one(
+        'ai.model',
+        string='Default AI Model',
+        config_parameter='ai_integration.default_model_id',
+        default_model='ai.model')
+    
+    ai_batch_size = fields.Integer(
+        string='AI Batch Processing Size',
+        config_parameter='ai_integration.ai_batch_size',
+        default=100,
+        default_model='ai.provider.instance')
+    
+    @api.onchange('default_provider_instance_id')
+    def _onchange_default_provider_instance(self):
+        """Reset model when provider instance changes"""
+        if self.default_provider_instance_id:
+            self.default_model_id = False
diff --git a/ai_integration/security/ai_security.xml b/ai_integration/security/ai_security.xml
new file mode 100644
index 0000000..9c77467
--- /dev/null
+++ b/ai_integration/security/ai_security.xml
@@ -0,0 +1,20 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <data noupdate="0">
+        <!-- AI User Group -->
+        <record id="group_ai_user" model="res.groups">
+            <field name="name">AI User</field>
+            <field name="category_id" ref="base.module_category_services"/>
+            <field name="comment">Users can use AI services but cannot configure them.</field>
+        </record>
+
+        <!-- AI Manager Group -->
+        <record id="group_ai_manager" model="res.groups">
+            <field name="name">AI Manager</field>
+            <field name="category_id" ref="base.module_category_services"/>
+            <field name="implied_ids" eval="[(4, ref('group_ai_user'))]"/>
+            <field name="comment">Full access to AI configuration and usage.</field>
+            <field name="users" eval="[(4, ref('base.user_admin'))]"/>
+        </record>
+    </data>
+</odoo>
diff --git a/ai_integration/security/ir.model.access.csv b/ai_integration/security/ir.model.access.csv
new file mode 100644
index 0000000..bee26f6
--- /dev/null
+++ b/ai_integration/security/ir.model.access.csv
@@ -0,0 +1,9 @@
+id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
+access_ai_model_user,ai.model.user,model_ai_model,base.group_user,1,0,0,0
+access_ai_model_system,ai.model.system,model_ai_model,base.group_system,1,1,1,1
+access_ai_provider_instance_user,ai.provider.instance.user,model_ai_provider_instance,base.group_user,1,0,0,0
+access_ai_provider_instance_system,ai.provider.instance.system,model_ai_provider_instance,base.group_system,1,1,1,1
+access_ai_model_stats_user,ai.model.stats.user,model_ai_model_stats,base.group_user,1,0,0,0
+access_ai_model_stats_system,ai.model.stats.system,model_ai_model_stats,base.group_system,1,1,1,1
+access_ai_generation_params_user,ai.generation.params.user,model_ai_generation_params,base.group_user,1,0,0,0
+access_ai_generation_params_system,ai.generation.params.system,model_ai_generation_params,base.group_system,1,1,1,1
diff --git a/ai_integration/security/ir_rule.xml b/ai_integration/security/ir_rule.xml
new file mode 100644
index 0000000..0281865
--- /dev/null
+++ b/ai_integration/security/ir_rule.xml
@@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <data noupdate="0">
+        <!-- Global Provider Instance Rule -->
+        <record id="ai_provider_instance_global_rule" model="ir.rule">
+            <field name="name">AI Provider Instance: Global Access</field>
+            <field name="model_id" ref="model_ai_provider_instance"/>
+            <field name="domain_force">[(1, '=', 1)]</field>
+            <field name="groups" eval="[(4, ref('base.group_user'))]"/>
+            <field name="perm_read" eval="True"/>
+            <field name="perm_write" eval="True"/>
+            <field name="perm_create" eval="True"/>
+            <field name="perm_unlink" eval="True"/>
+        </record>
+
+        <!-- Global Model Rule -->
+        <record id="ai_model_global_rule" model="ir.rule">
+            <field name="name">AI Model: Global Access</field>
+            <field name="model_id" ref="model_ai_model"/>
+            <field name="domain_force">[(1, '=', 1)]</field>
+            <field name="groups" eval="[(4, ref('base.group_user'))]"/>
+            <field name="perm_read" eval="True"/>
+            <field name="perm_write" eval="True"/>
+            <field name="perm_create" eval="True"/>
+            <field name="perm_unlink" eval="True"/>
+        </record>
+    </data>
+</odoo>
diff --git a/ai_integration/views/ai_model_stats_views.xml b/ai_integration/views/ai_model_stats_views.xml
new file mode 100644
index 0000000..d756d78
--- /dev/null
+++ b/ai_integration/views/ai_model_stats_views.xml
@@ -0,0 +1,123 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Tree View -->
+    <record id="view_ai_model_stats_list" model="ir.ui.view">
+        <field name="name">ai.model.stats.list</field>
+        <field name="model">ai.model.stats</field>
+        <field name="arch" type="xml">
+            <list string="Model Statistics">
+                <field name="date"/>
+                <field name="model_id"/>
+                <field name="provider_instance_id"/>
+                <field name="version"/>
+                <field name="request_count"/>
+                <field name="token_count"/>
+                <field name="avg_response_time"/>
+                <field name="error_count"/>
+            </list>
+        </field>
+    </record>
+
+    <!-- Form View -->
+    <record id="view_ai_model_stats_form" model="ir.ui.view">
+        <field name="name">ai.model.stats.form</field>
+        <field name="model">ai.model.stats</field>
+        <field name="arch" type="xml">
+            <form string="Model Statistics">
+                <sheet>
+                    <group>
+                        <group>
+                            <field name="date"/>
+                            <field name="model_id"/>
+                            <field name="provider_instance_id"/>
+                            <field name="version"/>
+                        </group>
+                        <group>
+                            <field name="request_count"/>
+                            <field name="token_count"/>
+                            <field name="avg_response_time"/>
+                            <field name="error_count"/>
+                        </group>
+                    </group>
+                </sheet>
+            </form>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="view_ai_model_stats_search" model="ir.ui.view">
+        <field name="name">ai.model.stats.search</field>
+        <field name="model">ai.model.stats</field>
+        <field name="arch" type="xml">
+            <search string="Search Model Statistics">
+                <field name="model_id"/>
+                <field name="provider_instance_id"/>
+                <field name="version"/>
+                <field name="date"/>
+                <filter string="Today" name="today" domain="[('date','=',context_today().strftime('%Y-%m-%d'))]"/>
+                <filter string="Last 7 Days" name="last_week" domain="[('date','>=', (context_today() - datetime.timedelta(days=7)).strftime('%Y-%m-%d'))]"/>
+                <filter string="Last 30 Days" name="last_month" domain="[('date','>=', (context_today() - datetime.timedelta(days=30)).strftime('%Y-%m-%d'))]"/>
+                <group expand="0" string="Group By">
+                    <filter string="Model" name="group_by_model" context="{'group_by': 'model_id'}"/>
+                    <filter string="Provider Instance" name="group_by_provider" context="{'group_by': 'provider_instance_id'}"/>
+                    <filter string="Version" name="group_by_version" context="{'group_by': 'version'}"/>
+                    <filter string="Date" name="group_by_date" context="{'group_by': 'date'}"/>
+                </group>
+            </search>
+        </field>
+    </record>
+
+    <!-- Graph View -->
+    <record id="view_ai_model_stats_graph" model="ir.ui.view">
+        <field name="name">ai.model.stats.graph</field>
+        <field name="model">ai.model.stats</field>
+        <field name="arch" type="xml">
+            <graph string="Model Statistics" type="line" sample="1">
+                <field name="date" type="row"/>
+                <field name="request_count" type="measure"/>
+                <field name="token_count" type="measure"/>
+                <field name="error_count" type="measure"/>
+            </graph>
+        </field>
+    </record>
+
+    <!-- Pivot View -->
+    <record id="view_ai_model_stats_pivot" model="ir.ui.view">
+        <field name="name">ai.model.stats.pivot</field>
+        <field name="model">ai.model.stats</field>
+        <field name="arch" type="xml">
+            <pivot string="Model Statistics" sample="1">
+                <field name="model_id" type="row"/>
+                <field name="provider_instance_id" type="row"/>
+                <field name="date" type="col"/>
+                <field name="request_count" type="measure"/>
+                <field name="token_count" type="measure"/>
+                <field name="avg_response_time" type="measure"/>
+                <field name="error_count" type="measure"/>
+            </pivot>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="action_ai_model_stats" model="ir.actions.act_window">
+        <field name="name">Model Statistics</field>
+        <field name="res_model">ai.model.stats</field>
+        <field name="view_mode">list,form,graph,pivot</field>
+        <field name="context">{'search_default_last_month': 1}</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                No statistics recorded yet
+            </p>
+            <p>
+                Statistics will be automatically recorded as you use your AI models.
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Item -->
+    <menuitem id="menu_ai_model_stats"
+              name="Model Statistics"
+              parent="menu_ai_integration"
+              action="action_ai_model_stats"
+              sequence="30"/>
+</odoo>
diff --git a/ai_integration/views/ai_model_views.xml b/ai_integration/views/ai_model_views.xml
new file mode 100644
index 0000000..85e8372
--- /dev/null
+++ b/ai_integration/views/ai_model_views.xml
@@ -0,0 +1,110 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Tree View -->
+    <record id="ai_model_view_list" model="ir.ui.view">
+        <field name="name">ai.model.list</field>
+        <field name="model">ai.model</field>
+        <field name="type">list</field>
+        <field name="arch" type="xml">
+            <list string="AI Models">
+                <field name="sequence" widget="handle"/>
+                <field name="name"/>
+                <field name="provider_instance_id"/>
+                <field name="provider_type"/>
+                <field name="identifier"/>
+                <field name="context_window"/>
+                <field name="active"/>
+            </list>
+        </field>
+    </record>
+
+    <!-- Form View -->
+    <record id="ai_model_view_form" model="ir.ui.view">
+        <field name="name">ai.model.form</field>
+        <field name="model">ai.model</field>
+        <field name="arch" type="xml">
+            <form string="AI Model">
+                <sheet>
+                    <div class="oe_button_box" name="button_box">
+                        <button name="toggle_active" type="object" class="oe_stat_button" icon="fa-archive">
+                            <field name="active" widget="boolean_button" options="{'terminology': 'archive'}"/>
+                        </button>
+                    </div>
+                    <div class="oe_title">
+                        <label for="name" class="oe_edit_only"/>
+                        <h1><field name="name" placeholder="e.g. GPT-3.5 Turbo"/></h1>
+                    </div>
+                    <group>
+                        <group>
+                            <field name="provider_instance_id" options="{'no_create': True}"/>
+                            <field name="provider_type"/>
+                            <field name="identifier"/>
+                            <field name="context_window"/>
+                        </group>
+                        <group>
+                            <field name="sequence"/>
+                        </group>
+                    </group>
+                    <notebook>
+                        <page string="Description" name="description">
+                            <field name="description" placeholder="Enter a description of the model and its capabilities..."/>
+                        </page>
+                    </notebook>
+                </sheet>
+            </form>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="ai_model_view_search" model="ir.ui.view">
+        <field name="name">ai.model.search</field>
+        <field name="model">ai.model</field>
+        <field name="arch" type="xml">
+            <search string="Search AI Models">
+                <field name="name"/>
+                <field name="identifier"/>
+                <field name="provider_instance_id"/>
+                <field name="provider_type"/>
+                <filter string="Archived" name="inactive" domain="[('is_active', '=', False)]"/>
+                <group expand="0" string="Group By">
+                    <filter string="Provider Instance" name="group_by_provider" context="{'group_by': 'provider_instance_id'}"/>
+                    <filter string="Provider Type" name="group_by_type" context="{'group_by': 'provider_type'}"/>
+
+                </group>
+            </search>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="ai_model_action" model="ir.actions.act_window">
+        <field name="name">AI Models</field>
+        <field name="res_model">ai.model</field>
+        <field name="view_mode">list,form</field>
+        <field name="search_view_id" ref="ai_model_view_search"/>
+        <field name="context">{'search_default_group_by_provider': 1}</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                No AI models found
+            </p>
+            <p>
+                AI models will be automatically synchronized when you configure and sync a provider instance.
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Items -->
+    <menuitem id="ai_integration_menu_root"
+              name="AI Integration"
+              sequence="50"/>
+
+    <menuitem id="ai_integration_menu_config"
+              name="Configuration"
+              parent="ai_integration_menu_root"
+              sequence="100"/>
+
+    <menuitem id="ai_model_menu"
+              name="AI Models"
+              parent="ai_integration_menu_config"
+              action="ai_model_action"
+              sequence="10"/>
+</odoo>
diff --git a/ai_integration/views/ai_provider_instance_views.xml b/ai_integration/views/ai_provider_instance_views.xml
new file mode 100644
index 0000000..4630d19
--- /dev/null
+++ b/ai_integration/views/ai_provider_instance_views.xml
@@ -0,0 +1,112 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Tree View -->
+    <record id="ai_provider_instance_view_list" model="ir.ui.view">
+        <field name="name">ai.provider.instance.list</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="arch" type="xml">
+            <list string="AI Provider Instances">
+                <field name="name"/>
+                <field name="provider_type"/>
+                <field name="host"/>
+                <field name="active"/>
+            </list>
+        </field>
+    </record>
+
+    <!-- Form View -->
+    <record id="ai_provider_instance_view_form" model="ir.ui.view">
+        <field name="name">ai.provider.instance.form</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="arch" type="xml">
+            <form string="AI Provider Instance">
+                <header>
+                    <button name="test_connection" 
+                            string="Test Connection" 
+                            type="object" 
+                            class="oe_highlight"/>
+                    <button name="sync_models" 
+                            string="Sync Models" 
+                            type="object" 
+                            class="btn-primary"/>
+                </header>
+                <sheet>
+                    <div class="oe_button_box" name="button_box">
+                        <button name="toggle_active" type="object" class="oe_stat_button" icon="fa-archive">
+                            <field name="active" widget="boolean_button" options="{'terminology': 'archive'}"/>
+                        </button>
+                    </div>
+                    <div class="oe_title">
+                        <label for="name" class="oe_edit_only"/>
+                        <h1><field name="name" placeholder="e.g. OpenWebUI Production"/></h1>
+                    </div>
+                    <group>
+                        <group>
+                            <field name="provider_type"/>
+                            <field name="host"/>
+                            <field name="api_key" password="True"/>
+                        </group>
+                        <group>
+                            <field name="timeout"/>
+                            <field name="max_retries"/>
+                        </group>
+                    </group>
+                    <notebook>
+                        <page string="Models" name="models">
+                            <field name="model_ids" nolabel="1">
+                                <list>
+                                    <field name="sequence" widget="handle"/>
+                                    <field name="name"/>
+                                    <field name="identifier"/>
+                                    <field name="context_window"/>
+                                    <field name="active"/>
+                                </list>
+                            </field>
+                        </page>
+                    </notebook>
+                </sheet>
+            </form>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="ai_provider_instance_view_search" model="ir.ui.view">
+        <field name="name">ai.provider.instance.search</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="arch" type="xml">
+            <search string="Search AI Provider Instances">
+                <field name="name"/>
+                <field name="provider_type"/>
+                <field name="host"/>
+                <filter string="Archived" name="inactive" domain="[('active', '=', False)]"/>
+                <group expand="0" string="Group By">
+                    <filter string="Provider Type" name="group_by_type" context="{'group_by': 'provider_type'}"/>
+                </group>
+            </search>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="ai_provider_instance_action" model="ir.actions.act_window">
+        <field name="name">AI Provider Instances</field>
+        <field name="res_model">ai.provider.instance</field>
+        <field name="view_mode">list,form</field>
+        <field name="search_view_id" ref="ai_provider_instance_view_search"/>
+        <field name="context">{'company_id': False}</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                Create your first AI provider instance
+            </p>
+            <p>
+                Configure AI provider instances to connect to different AI services.
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Item -->
+    <menuitem id="ai_provider_instance_menu"
+              name="Provider Instances"
+              parent="ai_integration_menu_config"
+              action="ai_provider_instance_action"
+              sequence="5"/>
+</odoo>
diff --git a/ai_integration/views/menu.xml b/ai_integration/views/menu.xml
new file mode 100644
index 0000000..47552f7
--- /dev/null
+++ b/ai_integration/views/menu.xml
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Top level menu -->
+    <menuitem id="menu_ai_integration"
+              name="AI Integration"
+              web_icon="ai_integration,static/description/icon.png"
+              sequence="50"/>
+
+    <!-- Configuration menu -->
+    <menuitem id="ai_integration_menu_config"
+              name="Configuration"
+              parent="menu_ai_integration"
+              sequence="100"/>
+</odoo>
diff --git a/ai_integration/views/res_company_views.xml b/ai_integration/views/res_company_views.xml
new file mode 100644
index 0000000..37a2c6e
--- /dev/null
+++ b/ai_integration/views/res_company_views.xml
@@ -0,0 +1,19 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Add AI Integration to Settings Menu -->
+    <record id="action_ai_integration_configuration" model="ir.actions.act_window">
+        <field name="name">AI Integration</field>
+        <field name="type">ir.actions.act_window</field>
+        <field name="res_model">res.config.settings</field>
+        <field name="view_mode">form</field>
+        <field name="target">inline</field>
+        <field name="context">{'module': 'ai_integration'}</field>
+    </record>
+
+    <menuitem id="menu_ai_integration_configuration"
+              name="Settings"
+              parent="ai_integration_menu_config"
+              action="action_ai_integration_configuration"
+              sequence="0"
+              groups="base.group_system"/>
+</odoo>
diff --git a/ai_integration/views/res_config_settings_views.xml b/ai_integration/views/res_config_settings_views.xml
new file mode 100644
index 0000000..914bc2b
--- /dev/null
+++ b/ai_integration/views/res_config_settings_views.xml
@@ -0,0 +1,56 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <record id="res_config_settings_view_form" model="ir.ui.view">
+        <field name="name">res.config.settings.view.form.inherit.ai.integration</field>
+        <field name="model">res.config.settings</field>
+        <field name="inherit_id" ref="base.res_config_settings_view_form"/>
+        <field name="arch" type="xml">
+            <xpath expr="//form" position="inside">
+                <div class="app_settings_block" data-string="AI Integration" string="AI Integration" data-key="ai_integration">
+                    <h2>AI Integration</h2>
+                    <div class="row mt16 o_settings_container" name="ai_integration_setting_container">
+                        <div class="col-12 col-lg-6 o_setting_box" id="default_provider_settings">
+                            <div class="o_setting_left_pane"/>
+                            <div class="o_setting_right_pane">
+                                <span class="o_form_label">Default Provider Configuration</span>
+                                <div class="text-muted">
+                                    Configure the default AI provider instance and model for this company
+                                </div>
+                                <div class="content-group">
+                                    <div class="mt16 row">
+                                        <label for="default_provider_instance_id" class="col-lg-3 o_light_label"/>
+                                        <field name="default_provider_instance_id" options="{'no_create': True}"/>
+                                    </div>
+                                    <div class="mt16 row">
+                                        <label for="default_model_id" class="col-lg-3 o_light_label"/>
+                                        <field name="default_model_id" 
+                                               options="{'no_create': True}"
+                                               invisible="default_provider_instance_id == False"/>
+                                    </div>
+                                </div>
+                            </div>
+                        </div>
+                        
+                        <div class="col-12 col-lg-6 o_setting_box" id="batch_processing_settings">
+                            <div class="o_setting_left_pane"/>
+                            <div class="o_setting_right_pane">
+                                <span class="o_form_label">Batch Processing</span>
+                                <div class="text-muted">
+                                    Configure batch processing parameters for AI operations
+                                </div>
+                                <div class="content-group">
+                                    <div class="mt16 row">
+                                        <label for="ai_batch_size" class="col-lg-3 o_light_label"/>
+                                        <field name="ai_batch_size"/>
+                                    </div>
+                                </div>
+                            </div>
+                        </div>
+                    </div>
+
+
+                </div>
+            </xpath>
+        </field>
+    </record>
+</odoo>
diff --git a/chatgpt_ai_integration/__init__.py b/chatgpt_ai_integration/__init__.py
new file mode 100644
index 0000000..0650744
--- /dev/null
+++ b/chatgpt_ai_integration/__init__.py
@@ -0,0 +1 @@
+from . import models
diff --git a/chatgpt_ai_integration/__manifest__.py b/chatgpt_ai_integration/__manifest__.py
new file mode 100644
index 0000000..f397818
--- /dev/null
+++ b/chatgpt_ai_integration/__manifest__.py
@@ -0,0 +1,35 @@
+{
+    'name': 'ChatGPT-Compatible AI Integration',
+    'version': '1.0',
+    'category': 'Technical',
+    'summary': 'Integration for ChatGPT-compatible AI providers',
+    'description': """
+ChatGPT-Compatible AI Integration
+================================
+This module provides integration with ChatGPT-compatible AI providers (OpenWebUI, ChatGPT, etc), offering:
+
+* ChatGPT-compatible provider implementation
+* Model synchronization
+* Advanced parameter configuration
+* Usage statistics tracking
+* Support for multiple providers using the ChatGPT API format
+""",
+    'author': 'Bemade',
+    'website': 'https://www.bemade.org',
+    'depends': [
+        'ai_integration',
+        'openwebui_integration'
+    ],
+    'data': [
+        'security/ir.model.access.csv',
+        'views/chatgpt_instance_views.xml',
+        'data/chatgpt_provider.xml',
+    ],
+    'external_dependencies': {
+        'python': ['requests'],
+    },
+    'installable': True,
+    'application': False,
+    'auto_install': False,
+    'license': 'LGPL-3',
+}
diff --git a/chatgpt_ai_integration/data/chatgpt_provider.xml b/chatgpt_ai_integration/data/chatgpt_provider.xml
new file mode 100644
index 0000000..061810b
--- /dev/null
+++ b/chatgpt_ai_integration/data/chatgpt_provider.xml
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <data noupdate="1">
+        <!-- ChatGPT-Compatible Provider -->
+        <record id="ai_provider_chatgpt" model="ai.provider">
+            <field name="name">ChatGPT-Compatible</field>
+            <field name="code">chatgpt</field>
+            <field name="instance_model">chatgpt.ai.instance</field>
+            <field name="provider_model">ai.provider.chatgpt</field>
+            <field name="description">Integration with ChatGPT-compatible AI providers (OpenWebUI, ChatGPT, etc).</field>
+            <field name="website">https://platform.openai.com/docs/api-reference/chat</field>
+        </record>
+    </data>
+</odoo>
diff --git a/chatgpt_ai_integration/models/__init__.py b/chatgpt_ai_integration/models/__init__.py
new file mode 100644
index 0000000..9ae9743
--- /dev/null
+++ b/chatgpt_ai_integration/models/__init__.py
@@ -0,0 +1,2 @@
+from . import chatgpt_provider
+from . import chatgpt_instance
diff --git a/chatgpt_ai_integration/models/chatgpt_instance.py b/chatgpt_ai_integration/models/chatgpt_instance.py
new file mode 100644
index 0000000..9c1b15a
--- /dev/null
+++ b/chatgpt_ai_integration/models/chatgpt_instance.py
@@ -0,0 +1,48 @@
+# -*- coding: utf-8 -*-
+from odoo import models, fields, api, _
+
+class ChatGPTInstance(models.Model):
+    _name = 'chatgpt.ai.instance'
+    _description = 'ChatGPT-Compatible Instance Configuration'
+    _inherit = ['ai.provider.instance', 'ai.generation.params']
+
+    provider_type = fields.Selection(
+        selection_add=[('chatgpt', 'ChatGPT-Compatible')],
+        ondelete={'chatgpt': 'cascade'})
+    
+    # ChatGPT API Parameters
+    
+    presence_penalty = fields.Float(
+        string='Presence Penalty',
+        help='Penalty for new tokens based on their presence in text. Range: [-2.0 - 2.0].',
+        default=0.0,
+        digits=(3, 2))
+    
+    frequency_penalty = fields.Float(
+        string='Frequency Penalty',
+        help='Penalty for new tokens based on their frequency in text. Range: [-2.0 - 2.0].',
+        default=0.0,
+        digits=(3, 2))
+    
+    # Provider Settings
+
+    def _get_provider_options(self):
+        """Get ChatGPT-compatible options for API calls."""
+        self.ensure_one()
+        
+        options = {
+            'temperature': self.temperature,
+            'top_p': self.top_p,
+            'max_tokens': self.max_tokens,
+            'presence_penalty': self.presence_penalty,
+            'frequency_penalty': self.frequency_penalty,
+            'stream': self.stream_response,
+        }
+        
+        if self.stop_sequences:
+            options['stop'] = [
+                seq.strip() 
+                for seq in self.stop_sequences.split(',')
+            ]
+        
+        return options
diff --git a/chatgpt_ai_integration/models/chatgpt_provider.py b/chatgpt_ai_integration/models/chatgpt_provider.py
new file mode 100644
index 0000000..8dd2201
--- /dev/null
+++ b/chatgpt_ai_integration/models/chatgpt_provider.py
@@ -0,0 +1,163 @@
+# -*- coding: utf-8 -*-
+import json
+import logging
+import requests
+from odoo import models, fields, api, _
+from odoo.exceptions import UserError
+
+_logger = logging.getLogger(__name__)
+
+class ChatGPTProvider(models.AbstractModel):
+    _name = 'ai.provider.chatgpt'
+    _description = 'ChatGPT-Compatible AI Provider'
+    _inherit = ['ai.provider']
+
+    def _get_provider_type(self):
+        return 'chatgpt'
+
+    def test_connection(self, instance):
+        """Test the connection to the OpenWebUI server."""
+        try:
+            response = requests.get(f"{instance.host}/api/v1/models")
+            if response.status_code != 200:
+                raise UserError(_(
+                    "Failed to connect to AI server. Status code: %s. Error: %s",
+                    response.status_code, response.text
+                ))
+            return True
+        except requests.exceptions.RequestException as e:
+            raise UserError(_(
+                "Failed to connect to AI server: %s", str(e)
+            ))
+
+    def sync_models(self, instance):
+        """Synchronize available models from the OpenWebUI server."""
+        self.test_connection(instance)
+
+        try:
+            # Get models from provider
+            response = requests.get(f"{instance.host}/api/v1/models")
+            models_data = response.json()
+
+            # Get existing models for this instance
+            existing_models = self.env['ai.model'].search([
+                ('provider_instance_id', '=', instance.id)
+            ])
+            existing_identifiers = {m.identifier: m for m in existing_models}
+
+            for model_data in models_data:
+                identifier = model_data.get('id')
+                if not identifier:
+                    continue
+
+                # Get model details
+                model_info = self._get_model_info(instance, identifier)
+                model_details = model_info.get('details', {})
+                
+                model_values = {
+                    'name': model_data.get('name', identifier),
+                    'identifier': identifier,
+                    'description': model_details.get('description', ''),
+                    'version': model_details.get('version', ''),
+                    'provider_instance_id': instance.id,
+                }
+
+                if identifier in existing_identifiers:
+                    # Update existing model
+                    existing_identifiers[identifier].write(model_values)
+                else:
+                    # Create new model
+                    self.env['ai.model'].create(model_values)
+
+            return True
+
+        except requests.exceptions.RequestException as e:
+            raise UserError(_("Error synchronizing models: %s") % str(e))
+
+    def _get_model_info(self, instance, model_name):
+        """Get detailed information about a specific model."""
+        try:
+            response = requests.get(
+                f"{instance.host}/api/v1/models/{model_name}/info"
+            )
+            if response.status_code == 200:
+                return response.json()
+            else:
+                _logger.error(
+                    "Failed to get model info for %s. Status: %s, Error: %s",
+                    model_name, response.status_code, response.text
+                )
+                return {}
+        except requests.exceptions.RequestException as e:
+            _logger.error("Error getting model info: %s", str(e))
+            return {}
+
+    def _format_chat_messages(self, messages):
+        """Format chat messages for OpenWebUI API."""
+        formatted_messages = []
+        for message in messages:
+            role = message.get('role', 'user')
+            content = message.get('content', '')
+            
+            formatted_messages.append({
+                'role': role,
+                'content': content
+            })
+        
+        return formatted_messages
+
+    def generate_response(self, instance, model, messages, **kwargs):
+        """Generate a response using the chat completion API."""
+        try:
+            # Format messages for OpenWebUI
+            formatted_messages = self._format_chat_messages(messages)
+            
+            # Get model options from instance
+            options = instance._get_provider_options()
+            
+            # Prepare the request payload
+            payload = {
+                'model': model.identifier,
+                'messages': formatted_messages,
+                **options
+            }
+            
+            # Make the API call
+            response = requests.post(
+                f"{instance.host}/api/v1/chat/completions",
+                json=payload
+            )
+            
+            if response.status_code != 200:
+                raise UserError(_("Failed to generate response: %s") % response.text)
+            
+            response_data = response.json()
+            generated_text = response_data.get('choices', [{}])[0].get('message', {}).get('content', '')
+            
+            # Update statistics
+            total_tokens = response_data.get('usage', {}).get('total_tokens', 0)
+            response_time = response_data.get('response_ms', 0)
+            version = self._get_model_info(instance, model.identifier)\
+                .get('details', {}).get('version', '')
+            
+            self._track_model_usage(
+                model, total_tokens, response_time, version=version
+            )
+            
+            # Return the response in a standardized format
+            return {
+                'content': generated_text,
+                'role': 'assistant',
+                'metadata': {
+                    'total_tokens': total_tokens,
+                    'response_time': response_time,
+                    'model_version': version,
+                    'usage': response_data.get('usage', {})
+                }
+            }
+            
+        except requests.exceptions.RequestException as e:
+            # Log error in statistics
+            if model:
+                self._track_model_usage(model, error=True)
+            raise UserError(_("Error generating response: %s") % str(e))
diff --git a/chatgpt_ai_integration/security/ir.model.access.csv b/chatgpt_ai_integration/security/ir.model.access.csv
new file mode 100644
index 0000000..ca4dd20
--- /dev/null
+++ b/chatgpt_ai_integration/security/ir.model.access.csv
@@ -0,0 +1,3 @@
+id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
+access_openwebui_ai_instance_user,openwebui.ai.instance user,model_openwebui_ai_instance,base.group_user,1,0,0,0
+access_openwebui_ai_instance_system,openwebui.ai.instance system,model_openwebui_ai_instance,base.group_system,1,1,1,1
diff --git a/chatgpt_ai_integration/views/chatgpt_instance_views.xml b/chatgpt_ai_integration/views/chatgpt_instance_views.xml
new file mode 100644
index 0000000..cd547bb
--- /dev/null
+++ b/chatgpt_ai_integration/views/chatgpt_instance_views.xml
@@ -0,0 +1,106 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Form View -->
+    <record id="view_chatgpt_ai_instance_form" model="ir.ui.view">
+        <field name="name">chatgpt.ai.instance.form</field>
+        <field name="model">chatgpt.ai.instance</field>
+        <field name="arch" type="xml">
+            <form string="ChatGPT-Compatible Instance">
+                <sheet>
+                    <div class="oe_title">
+                        <label for="name" class="oe_edit_only"/>
+                        <h1><field name="name" placeholder="e.g. Production OpenWebUI/ChatGPT"/></h1>
+                    </div>
+                    <group>
+                        <group string="Connection">
+                            <field name="host" placeholder="e.g. http://localhost:8080"/>
+                            <field name="api_key"/>
+                            <field name="company_id" groups="base.group_multi_company"/>
+                            <field name="is_default"/>
+                        </group>
+                        <group string="Basic Generation">
+                            <field name="temperature"/>
+                            <field name="top_p"/>
+                            <field name="max_tokens"/>
+                            <field name="presence_penalty"/>
+                            <field name="frequency_penalty"/>
+                        </group>
+                    </group>
+                    <group string="Advanced Settings">
+                        <group>
+                            <field name="stop_sequences" placeholder="e.g. END,STOP,DONE"/>
+                            <field name="timeout"/>
+                            <field name="retry_count"/>
+                        </group>
+                        <group>
+                            <field name="stream_response"/>
+                        </group>
+                    </group>
+                    <group string="Models" attrs="{'invisible': [('id', '=', False)]}">
+                        <field name="model_ids" nolabel="1">
+                            <tree>
+                                <field name="name"/>
+                                <field name="identifier"/>
+                                <field name="version"/>
+                                <field name="description"/>
+                            </tree>
+                        </field>
+                    </group>
+                </sheet>
+            </form>
+        </field>
+    </record>
+
+    <!-- Tree View -->
+    <record id="view_chatgpt_ai_instance_tree" model="ir.ui.view">
+        <field name="name">chatgpt.ai.instance.tree</field>
+        <field name="model">chatgpt.ai.instance</field>
+        <field name="arch" type="xml">
+            <tree string="ChatGPT-Compatible Instances">
+                <field name="name"/>
+                <field name="host"/>
+                <field name="is_default"/>
+                <field name="company_id" groups="base.group_multi_company"/>
+            </tree>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="view_chatgpt_ai_instance_search" model="ir.ui.view">
+        <field name="name">chatgpt.ai.instance.search</field>
+        <field name="model">chatgpt.ai.instance</field>
+        <field name="arch" type="xml">
+            <search string="Search ChatGPT-Compatible Instances">
+                <field name="name"/>
+                <field name="host"/>
+                <field name="company_id" groups="base.group_multi_company"/>
+                <filter string="Default Instance" name="is_default" domain="[('is_default', '=', True)]"/>
+                <group expand="0" string="Group By">
+                    <filter string="Company" name="company" context="{'group_by': 'company_id'}" groups="base.group_multi_company"/>
+                </group>
+            </search>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="action_chatgpt_ai_instance" model="ir.actions.act_window">
+        <field name="name">ChatGPT-Compatible Instances</field>
+        <field name="res_model">chatgpt.ai.instance</field>
+        <field name="view_mode">tree,form</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                Create your first ChatGPT-compatible instance
+            </p>
+            <p>
+                Configure instances to connect to ChatGPT-compatible servers (OpenWebUI, ChatGPT, etc).
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Item -->
+    <menuitem id="menu_chatgpt_ai_instance"
+              name="ChatGPT-Compatible"
+              parent="ai_integration.menu_ai_integration_config"
+              action="action_chatgpt_ai_instance"
+              sequence="20"/>
+</odoo>
diff --git a/ollama_ai_integration/__init__.py b/ollama_ai_integration/__init__.py
new file mode 100644
index 0000000..0650744
--- /dev/null
+++ b/ollama_ai_integration/__init__.py
@@ -0,0 +1 @@
+from . import models
diff --git a/ollama_ai_integration/__manifest__.py b/ollama_ai_integration/__manifest__.py
new file mode 100644
index 0000000..6d98e35
--- /dev/null
+++ b/ollama_ai_integration/__manifest__.py
@@ -0,0 +1,33 @@
+{
+    'name': 'Ollama Integration',
+    'version': '1.0',
+    'category': 'Technical',
+    'summary': 'Integration with Ollama AI models',
+    'description': """
+Ollama Integration
+=================
+This module provides integration with Ollama, allowing you to use local AI models
+in your Odoo instance. Features include:
+
+* Connection to local Ollama server
+* Support for all Ollama models
+* Automatic model discovery and synchronization
+* Configurable model parameters
+""",
+    'author': 'Bemade',
+    'website': 'https://www.bemade.org',
+    'depends': ['ai_integration'],
+    'data': [
+        'data/ollama_provider.xml',
+        'views/ollama_views.xml',
+        'views/ollama_stats_views.xml',
+        'security/ir.model.access.csv',
+    ],
+    'external_dependencies': {
+        'python': ['requests'],
+    },
+    'installable': True,
+    'application': False,
+    'auto_install': False,
+    'license': 'LGPL-3',
+}
diff --git a/ollama_ai_integration/data/ir_model_inherit.xml b/ollama_ai_integration/data/ir_model_inherit.xml
new file mode 100644
index 0000000..a1c3091
--- /dev/null
+++ b/ollama_ai_integration/data/ir_model_inherit.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <data noupdate="1">
+        <!-- Declare model inheritance -->
+        <record id="ollama_provider_inherit" model="ir.model.inherit">
+            <field name="model">ai.provider.ollama</field>
+            <field name="parent_id" ref="ai_integration.model_ai_provider_interface"/>
+        </record>
+    </data>
+</odoo>
diff --git a/ollama_ai_integration/data/ollama_provider.xml b/ollama_ai_integration/data/ollama_provider.xml
new file mode 100644
index 0000000..03a101a
--- /dev/null
+++ b/ollama_ai_integration/data/ollama_provider.xml
@@ -0,0 +1,13 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <data noupdate="1">
+        <!-- Register Ollama Provider -->
+        <record id="ai_provider_ollama" model="ai.provider">
+            <field name="name">Ollama</field>
+            <field name="code">ollama</field>
+            <field name="description">Local AI models powered by Ollama</field>
+            <field name="default_host">http://localhost:11434</field>
+            <field name="active" eval="True"/>
+        </record>
+    </data>
+</odoo>
diff --git a/ollama_ai_integration/doc/ollama_api.md b/ollama_ai_integration/doc/ollama_api.md
new file mode 100644
index 0000000..603b15b
--- /dev/null
+++ b/ollama_ai_integration/doc/ollama_api.md
@@ -0,0 +1,1627 @@
+# API
+
+## Endpoints
+
+- [Generate a completion](#generate-a-completion)
+- [Generate a chat completion](#generate-a-chat-completion)
+- [Create a Model](#create-a-model)
+- [List Local Models](#list-local-models)
+- [Show Model Information](#show-model-information)
+- [Copy a Model](#copy-a-model)
+- [Delete a Model](#delete-a-model)
+- [Pull a Model](#pull-a-model)
+- [Push a Model](#push-a-model)
+- [Generate Embeddings](#generate-embeddings)
+- [List Running Models](#list-running-models)
+- [Version](#version)
+
+## Conventions
+
+### Model names
+
+Model names follow a `model:tag` format, where `model` can have an optional namespace such as `example/model`. Some examples are `orca-mini:3b-q4_1` and `llama3:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
+
+### Durations
+
+All durations are returned in nanoseconds.
+
+### Streaming responses
+
+Certain endpoints stream responses as JSON objects. Streaming can be disabled by providing `{"stream": false}` for these endpoints.
+
+## Generate a completion
+
+```
+POST /api/generate
+```
+
+Generate a response for a given prompt with a provided model. This is a streaming endpoint, so there will be a series of responses. The final response object will include statistics and additional data from the request.
+
+### Parameters
+
+- `model`: (required) the [model name](#model-names)
+- `prompt`: the prompt to generate a response for
+- `suffix`: the text after the model response
+- `images`: (optional) a list of base64-encoded images (for multimodal models such as `llava`)
+
+Advanced parameters (optional):
+
+- `format`: the format to return a response in. Format can be `json` or a JSON schema
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
+- `system`: system message to (overrides what is defined in the `Modelfile`)
+- `template`: the prompt template to use (overrides what is defined in the `Modelfile`)
+- `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
+- `raw`: if `true` no formatting will be applied to the prompt. You may choose to use the `raw` parameter if you are specifying a full templated prompt in your request to the API
+- `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
+- `context` (deprecated): the context parameter returned from a previous request to `/generate`, this can be used to keep a short conversational memory
+
+#### Structured outputs
+
+Structured outputs are supported by providing a JSON schema in the `format` parameter. The model will generate a response that matches the schema. See the [structured outputs](#request-structured-outputs) example below.
+
+#### JSON mode
+
+Enable JSON mode by setting the `format` parameter to `json`. This will structure the response as a valid JSON object. See the JSON mode [example](#request-json-mode) below.
+
+> [!IMPORTANT]
+> It's important to instruct the model to use JSON in the `prompt`. Otherwise, the model may generate large amounts whitespace.
+
+### Examples
+
+#### Generate request (Streaming)
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2",
+  "prompt": "Why is the sky blue?"
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T08:52:19.385406455-07:00",
+  "response": "The",
+  "done": false
+}
+```
+
+The final response in the stream also includes additional data about the generation:
+
+- `total_duration`: time spent generating the response
+- `load_duration`: time spent in nanoseconds loading the model
+- `prompt_eval_count`: number of tokens in the prompt
+- `prompt_eval_duration`: time spent in nanoseconds evaluating the prompt
+- `eval_count`: number of tokens in the response
+- `eval_duration`: time in nanoseconds spent generating the response
+- `context`: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
+- `response`: empty if the response was streamed, if not streamed, this will contain the full response
+
+To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration` * `10^9`.
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T19:22:45.499127Z",
+  "response": "",
+  "done": true,
+  "context": [1, 2, 3],
+  "total_duration": 10706818083,
+  "load_duration": 6338219291,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 130079000,
+  "eval_count": 259,
+  "eval_duration": 4232710000
+}
+```
+
+#### Request (No streaming)
+
+##### Request
+
+A response can be received in one reply when streaming is off.
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2",
+  "prompt": "Why is the sky blue?",
+  "stream": false
+}'
+```
+
+##### Response
+
+If `stream` is set to `false`, the response will be a single JSON object:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T19:22:45.499127Z",
+  "response": "The sky is blue because it is the color of the sky.",
+  "done": true,
+  "context": [1, 2, 3],
+  "total_duration": 5043500667,
+  "load_duration": 5025959,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 325953000,
+  "eval_count": 290,
+  "eval_duration": 4709213000
+}
+```
+
+#### Request (with suffix)
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "codellama:code",
+  "prompt": "def compute_gcd(a, b):",
+  "suffix": "    return result",
+  "options": {
+    "temperature": 0
+  },
+  "stream": false
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "codellama:code",
+  "created_at": "2024-07-22T20:47:51.147561Z",
+  "response": "\n  if a == 0:\n    return b\n  else:\n    return compute_gcd(b % a, a)\n\ndef compute_lcm(a, b):\n  result = (a * b) / compute_gcd(a, b)\n",
+  "done": true,
+  "done_reason": "stop",
+  "context": [...],
+  "total_duration": 1162761250,
+  "load_duration": 6683708,
+  "prompt_eval_count": 17,
+  "prompt_eval_duration": 201222000,
+  "eval_count": 63,
+  "eval_duration": 953997000
+}
+```
+
+#### Request (Structured outputs)
+
+##### Request
+
+```shell
+curl -X POST http://localhost:11434/api/generate -H "Content-Type: application/json" -d '{
+  "model": "llama3.1:8b",
+  "prompt": "Ollama is 22 years old and is busy saving the world. Respond using JSON",
+  "stream": false,
+  "format": {
+    "type": "object",
+    "properties": {
+      "age": {
+        "type": "integer"
+      },
+      "available": {
+        "type": "boolean"
+      }
+    },
+    "required": [
+      "age",
+      "available"
+    ]
+  }
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.1:8b",
+  "created_at": "2024-12-06T00:48:09.983619Z",
+  "response": "{\n  \"age\": 22,\n  \"available\": true\n}",
+  "done": true,
+  "done_reason": "stop",
+  "context": [1, 2, 3],
+  "total_duration": 1075509083,
+  "load_duration": 567678166,
+  "prompt_eval_count": 28,
+  "prompt_eval_duration": 236000000,
+  "eval_count": 16,
+  "eval_duration": 269000000
+}
+```
+
+#### Request (JSON mode)
+
+> [!IMPORTANT]
+> When `format` is set to `json`, the output will always be a well-formed JSON object. It's important to also instruct the model to respond in JSON.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2",
+  "prompt": "What color is the sky at different times of the day? Respond using JSON",
+  "format": "json",
+  "stream": false
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-11-09T21:07:55.186497Z",
+  "response": "{\n\"morning\": {\n\"color\": \"blue\"\n},\n\"noon\": {\n\"color\": \"blue-gray\"\n},\n\"afternoon\": {\n\"color\": \"warm gray\"\n},\n\"evening\": {\n\"color\": \"orange\"\n}\n}\n",
+  "done": true,
+  "context": [1, 2, 3],
+  "total_duration": 4648158584,
+  "load_duration": 4071084,
+  "prompt_eval_count": 36,
+  "prompt_eval_duration": 439038000,
+  "eval_count": 180,
+  "eval_duration": 4196918000
+}
+```
+
+The value of `response` will be a string containing JSON similar to:
+
+```json
+{
+  "morning": {
+    "color": "blue"
+  },
+  "noon": {
+    "color": "blue-gray"
+  },
+  "afternoon": {
+    "color": "warm gray"
+  },
+  "evening": {
+    "color": "orange"
+  }
+}
+```
+
+#### Request (with images)
+
+To submit images to multimodal models such as `llava` or `bakllava`, provide a list of base64-encoded `images`:
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llava",
+  "prompt":"What is in this picture?",
+  "stream": false,
+  "images": ["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"]
+}'
+```
+
+#### Response
+
+```json
+{
+  "model": "llava",
+  "created_at": "2023-11-03T15:36:02.583064Z",
+  "response": "A happy cartoon character, which is cute and cheerful.",
+  "done": true,
+  "context": [1, 2, 3],
+  "total_duration": 2938432250,
+  "load_duration": 2559292,
+  "prompt_eval_count": 1,
+  "prompt_eval_duration": 2195557000,
+  "eval_count": 44,
+  "eval_duration": 736432000
+}
+```
+
+#### Request (Raw Mode)
+
+In some cases, you may wish to bypass the templating system and provide a full prompt. In this case, you can use the `raw` parameter to disable templating. Also note that raw mode will not return a context.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "mistral",
+  "prompt": "[INST] why is the sky blue? [/INST]",
+  "raw": true,
+  "stream": false
+}'
+```
+
+#### Request (Reproducible outputs)
+
+For reproducible outputs, set `seed` to a number:
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "mistral",
+  "prompt": "Why is the sky blue?",
+  "options": {
+    "seed": 123
+  }
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "mistral",
+  "created_at": "2023-11-03T15:36:02.583064Z",
+  "response": " The sky appears blue because of a phenomenon called Rayleigh scattering.",
+  "done": true,
+  "total_duration": 8493852375,
+  "load_duration": 6589624375,
+  "prompt_eval_count": 14,
+  "prompt_eval_duration": 119039000,
+  "eval_count": 110,
+  "eval_duration": 1779061000
+}
+```
+
+#### Generate request (With options)
+
+If you want to set custom options for the model at runtime rather than in the Modelfile, you can do so with the `options` parameter. This example sets every available option, but you can set any of them individually and omit the ones you do not want to override.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2",
+  "prompt": "Why is the sky blue?",
+  "stream": false,
+  "options": {
+    "num_keep": 5,
+    "seed": 42,
+    "num_predict": 100,
+    "top_k": 20,
+    "top_p": 0.9,
+    "min_p": 0.0,
+    "typical_p": 0.7,
+    "repeat_last_n": 33,
+    "temperature": 0.8,
+    "repeat_penalty": 1.2,
+    "presence_penalty": 1.5,
+    "frequency_penalty": 1.0,
+    "mirostat": 1,
+    "mirostat_tau": 0.8,
+    "mirostat_eta": 0.6,
+    "penalize_newline": true,
+    "stop": ["\n", "user:"],
+    "numa": false,
+    "num_ctx": 1024,
+    "num_batch": 2,
+    "num_gpu": 1,
+    "main_gpu": 0,
+    "low_vram": false,
+    "vocab_only": false,
+    "use_mmap": true,
+    "use_mlock": false,
+    "num_thread": 8
+  }
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T19:22:45.499127Z",
+  "response": "The sky is blue because it is the color of the sky.",
+  "done": true,
+  "context": [1, 2, 3],
+  "total_duration": 4935886791,
+  "load_duration": 534986708,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 107345000,
+  "eval_count": 237,
+  "eval_duration": 4289432000
+}
+```
+
+#### Load a model
+
+If an empty prompt is provided, the model will be loaded into memory.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2"
+}'
+```
+
+##### Response
+
+A single JSON object is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-12-18T19:52:07.071755Z",
+  "response": "",
+  "done": true
+}
+```
+
+#### Unload a model
+
+If an empty prompt is provided and the `keep_alive` parameter is set to `0`, a model will be unloaded from memory.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3.2",
+  "keep_alive": 0
+}'
+```
+
+##### Response
+
+A single JSON object is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2024-09-12T03:54:03.516566Z",
+  "response": "",
+  "done": true,
+  "done_reason": "unload"
+}
+```
+
+## Generate a chat completion
+
+```
+POST /api/chat
+```
+
+Generate the next message in a chat with a provided model. This is a streaming endpoint, so there will be a series of responses. Streaming can be disabled using `"stream": false`. The final response object will include statistics and additional data from the request.
+
+### Parameters
+
+- `model`: (required) the [model name](#model-names)
+- `messages`: the messages of the chat, this can be used to keep a chat memory
+- `tools`: list of tools in JSON for the model to use if supported
+
+The `message` object has the following fields:
+
+- `role`: the role of the message, either `system`, `user`, `assistant`, or `tool`
+- `content`: the content of the message
+- `images` (optional): a list of images to include in the message (for multimodal models such as `llava`)
+- `tool_calls` (optional): a list of tools in JSON that the model wants to use
+
+Advanced parameters (optional):
+
+- `format`: the format to return a response in. Format can be `json` or a JSON schema. 
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
+- `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
+- `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
+
+### Structured outputs
+
+Structured outputs are supported by providing a JSON schema in the `format` parameter. The model will generate a response that matches the schema. See the [Chat request (Structured outputs)](#chat-request-structured-outputs) example below.
+
+### Examples
+
+#### Chat Request (Streaming)
+
+##### Request
+
+Send a chat message with a streaming response.
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [
+    {
+      "role": "user",
+      "content": "why is the sky blue?"
+    }
+  ]
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T08:52:19.385406455-07:00",
+  "message": {
+    "role": "assistant",
+    "content": "The",
+    "images": null
+  },
+  "done": false
+}
+```
+
+Final response:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T19:22:45.499127Z",
+  "done": true,
+  "total_duration": 4883583458,
+  "load_duration": 1334875,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 342546000,
+  "eval_count": 282,
+  "eval_duration": 4535599000
+}
+```
+
+#### Chat request (No streaming)
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [
+    {
+      "role": "user",
+      "content": "why is the sky blue?"
+    }
+  ],
+  "stream": false
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-12-12T14:13:43.416799Z",
+  "message": {
+    "role": "assistant",
+    "content": "Hello! How are you today?"
+  },
+  "done": true,
+  "total_duration": 5191566416,
+  "load_duration": 2154458,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 383809000,
+  "eval_count": 298,
+  "eval_duration": 4799921000
+}
+```
+
+#### Chat request (Structured outputs)
+
+##### Request
+
+```shell
+curl -X POST http://localhost:11434/api/chat -H "Content-Type: application/json" -d '{
+  "model": "llama3.1",
+  "messages": [{"role": "user", "content": "Ollama is 22 years old and busy saving the world. Return a JSON object with the age and availability."}],
+  "stream": false,
+  "format": {
+    "type": "object",
+    "properties": {
+      "age": {
+        "type": "integer"
+      },
+      "available": {
+        "type": "boolean"
+      }
+    },
+    "required": [
+      "age",
+      "available"
+    ]
+  },
+  "options": {
+    "temperature": 0
+  }
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.1",
+  "created_at": "2024-12-06T00:46:58.265747Z",
+  "message": { "role": "assistant", "content": "{\"age\": 22, \"available\": false}" },
+  "done_reason": "stop",
+  "done": true,
+  "total_duration": 2254970291,
+  "load_duration": 574751416,
+  "prompt_eval_count": 34,
+  "prompt_eval_duration": 1502000000,
+  "eval_count": 12,
+  "eval_duration": 175000000
+}
+```
+
+#### Chat request (With History)
+
+Send a chat message with a conversation history. You can use this same approach to start the conversation using multi-shot or chain-of-thought prompting.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [
+    {
+      "role": "user",
+      "content": "why is the sky blue?"
+    },
+    {
+      "role": "assistant",
+      "content": "due to rayleigh scattering."
+    },
+    {
+      "role": "user",
+      "content": "how is that different than mie scattering?"
+    }
+  ]
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T08:52:19.385406455-07:00",
+  "message": {
+    "role": "assistant",
+    "content": "The"
+  },
+  "done": false
+}
+```
+
+Final response:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-08-04T19:22:45.499127Z",
+  "done": true,
+  "total_duration": 8113331500,
+  "load_duration": 6396458,
+  "prompt_eval_count": 61,
+  "prompt_eval_duration": 398801000,
+  "eval_count": 468,
+  "eval_duration": 7701267000
+}
+```
+
+#### Chat request (with images)
+
+##### Request
+
+Send a chat message with images. The images should be provided as an array, with the individual images encoded in Base64.
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llava",
+  "messages": [
+    {
+      "role": "user",
+      "content": "what is in this image?",
+      "images": ["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"]
+    }
+  ]
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llava",
+  "created_at": "2023-12-13T22:42:50.203334Z",
+  "message": {
+    "role": "assistant",
+    "content": " The image features a cute, little pig with an angry facial expression. It's wearing a heart on its shirt and is waving in the air. This scene appears to be part of a drawing or sketching project.",
+    "images": null
+  },
+  "done": true,
+  "total_duration": 1668506709,
+  "load_duration": 1986209,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 359682000,
+  "eval_count": 83,
+  "eval_duration": 1303285000
+}
+```
+
+#### Chat request (Reproducible outputs)
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hello!"
+    }
+  ],
+  "options": {
+    "seed": 101,
+    "temperature": 0
+  }
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2023-12-12T14:13:43.416799Z",
+  "message": {
+    "role": "assistant",
+    "content": "Hello! How are you today?"
+  },
+  "done": true,
+  "total_duration": 5191566416,
+  "load_duration": 2154458,
+  "prompt_eval_count": 26,
+  "prompt_eval_duration": 383809000,
+  "eval_count": 298,
+  "eval_duration": 4799921000
+}
+```
+
+#### Chat request (with tools)
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [
+    {
+      "role": "user",
+      "content": "What is the weather today in Paris?"
+    }
+  ],
+  "stream": false,
+  "tools": [
+    {
+      "type": "function",
+      "function": {
+        "name": "get_current_weather",
+        "description": "Get the current weather for a location",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "location": {
+              "type": "string",
+              "description": "The location to get the weather for, e.g. San Francisco, CA"
+            },
+            "format": {
+              "type": "string",
+              "description": "The format to return the weather in, e.g. 'celsius' or 'fahrenheit'",
+              "enum": ["celsius", "fahrenheit"]
+            }
+          },
+          "required": ["location", "format"]
+        }
+      }
+    }
+  ]
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at": "2024-07-22T20:33:28.123648Z",
+  "message": {
+    "role": "assistant",
+    "content": "",
+    "tool_calls": [
+      {
+        "function": {
+          "name": "get_current_weather",
+          "arguments": {
+            "format": "celsius",
+            "location": "Paris, FR"
+          }
+        }
+      }
+    ]
+  },
+  "done_reason": "stop",
+  "done": true,
+  "total_duration": 885095291,
+  "load_duration": 3753500,
+  "prompt_eval_count": 122,
+  "prompt_eval_duration": 328493000,
+  "eval_count": 33,
+  "eval_duration": 552222000
+}
+```
+
+#### Load a model
+
+If the messages array is empty, the model will be loaded into memory.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": []
+}'
+```
+
+##### Response
+
+```json
+{
+  "model": "llama3.2",
+  "created_at":"2024-09-12T21:17:29.110811Z",
+  "message": {
+    "role": "assistant",
+    "content": ""
+  },
+  "done_reason": "load",
+  "done": true
+}
+```
+
+#### Unload a model
+
+If the messages array is empty and the `keep_alive` parameter is set to `0`, a model will be unloaded from memory.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3.2",
+  "messages": [],
+  "keep_alive": 0
+}'
+```
+
+##### Response
+
+A single JSON object is returned:
+
+```json
+{
+  "model": "llama3.2",
+  "created_at":"2024-09-12T21:33:17.547535Z",
+  "message": {
+    "role": "assistant",
+    "content": ""
+  },
+  "done_reason": "unload",
+  "done": true
+}
+```
+
+## Create a Model
+
+```
+POST /api/create
+```
+
+Create a model from:
+ * another model;
+ * a safetensors directory; or
+ * a GGUF file.
+
+If you are creating a model from a safetensors directory or from a GGUF file, you must [create a blob](#create-a-blob) for each of the files and then use the file name and SHA256 digest associated with each blob in the `files` field.
+
+### Parameters
+
+- `model`: name of the model to create
+- `from`: (optional) name of an existing model to create the new model from
+- `files`: (optional) a dictionary of file names to SHA256 digests of blobs to create the model from
+- `adapters`: (optional) a dictionary of file names to SHA256 digests of blobs for LORA adapters
+- `template`: (optional) the prompt template for the model
+- `license`: (optional) a string or list of strings containing the license or licenses for the model
+- `system`: (optional) a string containing the system prompt for the model
+- `parameters`: (optional) a dictionary of parameters for the model (see [Modelfile](./modelfile.md#valid-parameters-and-values) for a list of parameters)
+- `messages`: (optional) a list of message objects used to create a conversation
+- `stream`: (optional) if `false` the response will be returned as a single response object, rather than a stream of objects
+- `quantize` (optional): quantize a non-quantized (e.g. float16) model
+
+#### Quantization types
+
+| Type | Recommended |
+| --- | :-: |
+| q2_K | |
+| q3_K_L | |
+| q3_K_M | |
+| q3_K_S | |
+| q4_0 | |
+| q4_1 | |
+| q4_K_M | * |
+| q4_K_S | |
+| q5_0 | |
+| q5_1 | |
+| q5_K_M | |
+| q5_K_S | |
+| q6_K | |
+| q8_0 | * |
+
+### Examples
+
+#### Create a new model
+
+Create a new model from an existing model.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/create -d '{
+  "model": "mario",
+  "from": "llama3.2",
+  "system": "You are Mario from Super Mario Bros."
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{"status":"reading model metadata"}
+{"status":"creating system layer"}
+{"status":"using already created layer sha256:22f7f8ef5f4c791c1b03d7eb414399294764d7cc82c7e94aa81a1feb80a983a2"}
+{"status":"using already created layer sha256:8c17c2ebb0ea011be9981cc3922db8ca8fa61e828c5d3f44cb6ae342bf80460b"}
+{"status":"using already created layer sha256:7c23fb36d80141c4ab8cdbb61ee4790102ebd2bf7aeff414453177d4f2110e5d"}
+{"status":"using already created layer sha256:2e0493f67d0c8c9c68a8aeacdf6a38a2151cb3c4c1d42accf296e19810527988"}
+{"status":"using already created layer sha256:2759286baa875dc22de5394b4a925701b1896a7e3f8e53275c36f75a877a82c9"}
+{"status":"writing layer sha256:df30045fe90f0d750db82a058109cecd6d4de9c90a3d75b19c09e5f64580bb42"}
+{"status":"writing layer sha256:f18a68eb09bf925bb1b669490407c1b1251c5db98dc4d3d81f3088498ea55690"}
+{"status":"writing manifest"}
+{"status":"success"}
+```
+
+#### Quantize a model
+
+Quantize a non-quantized model.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/create -d '{
+  "model": "llama3.1:quantized",
+  "from": "llama3.1:8b-instruct-fp16",
+  "quantize": "q4_K_M"
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{"status":"quantizing F16 model to Q4_K_M"}
+{"status":"creating new layer sha256:667b0c1932bc6ffc593ed1d03f895bf2dc8dc6df21db3042284a6f4416b06a29"}
+{"status":"using existing layer sha256:11ce4ee3e170f6adebac9a991c22e22ab3f8530e154ee669954c4bc73061c258"}
+{"status":"using existing layer sha256:0ba8f0e314b4264dfd19df045cde9d4c394a52474bf92ed6a3de22a4ca31a177"}
+{"status":"using existing layer sha256:56bb8bd477a519ffa694fc449c2413c6f0e1d3b1c88fa7e3c9d88d3ae49d4dcb"}
+{"status":"creating new layer sha256:455f34728c9b5dd3376378bfb809ee166c145b0b4c1f1a6feca069055066ef9a"}
+{"status":"writing manifest"}
+{"status":"success"}
+```
+
+#### Create a model from GGUF
+
+Create a model from a GGUF file. The `files` parameter should be filled out with the file name and SHA256 digest of the GGUF file you wish to use. Use [/api/blobs/:digest](#push-a-blob) to push the GGUF file to the server before calling this API.
+
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/create -d '{
+  "model": "my-gguf-model",
+  "files": {
+    "test.gguf": "sha256:432f310a77f4650a88d0fd59ecdd7cebed8d684bafea53cbff0473542964f0c3"
+  }
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```json
+{"status":"parsing GGUF"}
+{"status":"using existing layer sha256:432f310a77f4650a88d0fd59ecdd7cebed8d684bafea53cbff0473542964f0c3"}
+{"status":"writing manifest"}
+{"status":"success"}
+```
+
+
+#### Create a model from a Safetensors directory
+
+The `files` parameter should include a dictionary of files for the safetensors model which includes the file names and SHA256 digest of each file. Use [/api/blobs/:digest](#push-a-blob) to first push each of the files to the server before calling this API. Files will remain in the cache until the Ollama server is restarted.
+
+##### Request
+
+```shell
+curl http://localhost:11434/api/create -d '{
+  "model": "fred",
+  "files": {
+    "config.json": "sha256:dd3443e529fb2290423a0c65c2d633e67b419d273f170259e27297219828e389",
+    "generation_config.json": "sha256:88effbb63300dbbc7390143fbbdd9d9fa50587b37e8bfd16c8c90d4970a74a36",
+    "special_tokens_map.json": "sha256:b7455f0e8f00539108837bfa586c4fbf424e31f8717819a6798be74bef813d05",
+    "tokenizer.json": "sha256:bbc1904d35169c542dffbe1f7589a5994ec7426d9e5b609d07bab876f32e97ab",
+    "tokenizer_config.json": "sha256:24e8a6dc2547164b7002e3125f10b415105644fcf02bf9ad8b674c87b1eaaed6",
+    "model.safetensors": "sha256:1ff795ff6a07e6a68085d206fb84417da2f083f68391c2843cd2b8ac6df8538f"
+  }
+}'
+```
+
+##### Response
+
+A stream of JSON objects is returned:
+
+```shell
+{"status":"converting model"}
+{"status":"creating new layer sha256:05ca5b813af4a53d2c2922933936e398958855c44ee534858fcfd830940618b6"}
+{"status":"using autodetected template llama3-instruct"}
+{"status":"using existing layer sha256:56bb8bd477a519ffa694fc449c2413c6f0e1d3b1c88fa7e3c9d88d3ae49d4dcb"}
+{"status":"writing manifest"}
+{"status":"success"}
+```
+
+## Check if a Blob Exists
+
+```shell
+HEAD /api/blobs/:digest
+```
+
+Ensures that the file blob (Binary Large Object) used with create a model exists on the server. This checks your Ollama server and not ollama.com.
+
+### Query Parameters
+
+- `digest`: the SHA256 digest of the blob
+
+### Examples
+
+#### Request
+
+```shell
+curl -I http://localhost:11434/api/blobs/sha256:29fdb92e57cf0827ded04ae6461b5931d01fa595843f55d36f5b275a52087dd2
+```
+
+#### Response
+
+Return 200 OK if the blob exists, 404 Not Found if it does not.
+
+## Push a Blob
+
+```
+POST /api/blobs/:digest
+```
+
+Push a file to the Ollama server to create a "blob" (Binary Large Object).
+
+### Query Parameters
+
+- `digest`: the expected SHA256 digest of the file
+
+### Examples
+
+#### Request
+
+```shell
+curl -T model.gguf -X POST http://localhost:11434/api/blobs/sha256:29fdb92e57cf0827ded04ae6461b5931d01fa595843f55d36f5b275a52087dd2
+```
+
+#### Response
+
+Return 201 Created if the blob was successfully created, 400 Bad Request if the digest used is not expected.
+
+## List Local Models
+
+```
+GET /api/tags
+```
+
+List models that are available locally.
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/tags
+```
+
+#### Response
+
+A single JSON object will be returned.
+
+```json
+{
+  "models": [
+    {
+      "name": "codellama:13b",
+      "modified_at": "2023-11-04T14:56:49.277302595-07:00",
+      "size": 7365960935,
+      "digest": "9f438cb9cd581fc025612d27f7c1a6669ff83a8bb0ed86c94fcf4c5440555697",
+      "details": {
+        "format": "gguf",
+        "family": "llama",
+        "families": null,
+        "parameter_size": "13B",
+        "quantization_level": "Q4_0"
+      }
+    },
+    {
+      "name": "llama3:latest",
+      "modified_at": "2023-12-07T09:32:18.757212583-08:00",
+      "size": 3825819519,
+      "digest": "fe938a131f40e6f6d40083c9f0f430a515233eb2edaa6d72eb85c50d64f2300e",
+      "details": {
+        "format": "gguf",
+        "family": "llama",
+        "families": null,
+        "parameter_size": "7B",
+        "quantization_level": "Q4_0"
+      }
+    }
+  ]
+}
+```
+
+## Show Model Information
+
+```
+POST /api/show
+```
+
+Show information about a model including details, modelfile, template, parameters, license, system prompt.
+
+### Parameters
+
+- `model`: name of the model to show
+- `verbose`: (optional) if set to `true`, returns full data for verbose response fields
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/show -d '{
+  "model": "llama3.2"
+}'
+```
+
+#### Response
+
+```json
+{
+  "modelfile": "# Modelfile generated by \"ollama show\"\n# To build a new Modelfile based on this one, replace the FROM line with:\n# FROM llava:latest\n\nFROM /Users/matt/.ollama/models/blobs/sha256:200765e1283640ffbd013184bf496e261032fa75b99498a9613be4e94d63ad52\nTEMPLATE \"\"\"{{ .System }}\nUSER: {{ .Prompt }}\nASSISTANT: \"\"\"\nPARAMETER num_ctx 4096\nPARAMETER stop \"\u003c/s\u003e\"\nPARAMETER stop \"USER:\"\nPARAMETER stop \"ASSISTANT:\"",
+  "parameters": "num_keep                       24\nstop                           \"<|start_header_id|>\"\nstop                           \"<|end_header_id|>\"\nstop                           \"<|eot_id|>\"",
+  "template": "{{ if .System }}<|start_header_id|>system<|end_header_id|>\n\n{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>\n\n{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>\n\n{{ .Response }}<|eot_id|>",
+  "details": {
+    "parent_model": "",
+    "format": "gguf",
+    "family": "llama",
+    "families": [
+      "llama"
+    ],
+    "parameter_size": "8.0B",
+    "quantization_level": "Q4_0"
+  },
+  "model_info": {
+    "general.architecture": "llama",
+    "general.file_type": 2,
+    "general.parameter_count": 8030261248,
+    "general.quantization_version": 2,
+    "llama.attention.head_count": 32,
+    "llama.attention.head_count_kv": 8,
+    "llama.attention.layer_norm_rms_epsilon": 0.00001,
+    "llama.block_count": 32,
+    "llama.context_length": 8192,
+    "llama.embedding_length": 4096,
+    "llama.feed_forward_length": 14336,
+    "llama.rope.dimension_count": 128,
+    "llama.rope.freq_base": 500000,
+    "llama.vocab_size": 128256,
+    "tokenizer.ggml.bos_token_id": 128000,
+    "tokenizer.ggml.eos_token_id": 128009,
+    "tokenizer.ggml.merges": [],            // populates if `verbose=true`
+    "tokenizer.ggml.model": "gpt2",
+    "tokenizer.ggml.pre": "llama-bpe",
+    "tokenizer.ggml.token_type": [],        // populates if `verbose=true`
+    "tokenizer.ggml.tokens": []             // populates if `verbose=true`
+  }
+}
+```
+
+## Copy a Model
+
+```
+POST /api/copy
+```
+
+Copy a model. Creates a model with another name from an existing model.
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/copy -d '{
+  "source": "llama3.2",
+  "destination": "llama3-backup"
+}'
+```
+
+#### Response
+
+Returns a 200 OK if successful, or a 404 Not Found if the source model doesn't exist.
+
+## Delete a Model
+
+```
+DELETE /api/delete
+```
+
+Delete a model and its data.
+
+### Parameters
+
+- `model`: model name to delete
+
+### Examples
+
+#### Request
+
+```shell
+curl -X DELETE http://localhost:11434/api/delete -d '{
+  "model": "llama3:13b"
+}'
+```
+
+#### Response
+
+Returns a 200 OK if successful, 404 Not Found if the model to be deleted doesn't exist.
+
+## Pull a Model
+
+```
+POST /api/pull
+```
+
+Download a model from the ollama library. Cancelled pulls are resumed from where they left off, and multiple calls will share the same download progress.
+
+### Parameters
+
+- `model`: name of the model to pull
+- `insecure`: (optional) allow insecure connections to the library. Only use this if you are pulling from your own library during development.
+- `stream`: (optional) if `false` the response will be returned as a single response object, rather than a stream of objects
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/pull -d '{
+  "model": "llama3.2"
+}'
+```
+
+#### Response
+
+If `stream` is not specified, or set to `true`, a stream of JSON objects is returned:
+
+The first object is the manifest:
+
+```json
+{
+  "status": "pulling manifest"
+}
+```
+
+Then there is a series of downloading responses. Until any of the download is completed, the `completed` key may not be included. The number of files to be downloaded depends on the number of layers specified in the manifest.
+
+```json
+{
+  "status": "downloading digestname",
+  "digest": "digestname",
+  "total": 2142590208,
+  "completed": 241970
+}
+```
+
+After all the files are downloaded, the final responses are:
+
+```json
+{
+    "status": "verifying sha256 digest"
+}
+{
+    "status": "writing manifest"
+}
+{
+    "status": "removing any unused layers"
+}
+{
+    "status": "success"
+}
+```
+
+if `stream` is set to false, then the response is a single JSON object:
+
+```json
+{
+  "status": "success"
+}
+```
+
+## Push a Model
+
+```
+POST /api/push
+```
+
+Upload a model to a model library. Requires registering for ollama.ai and adding a public key first.
+
+### Parameters
+
+- `model`: name of the model to push in the form of `<namespace>/<model>:<tag>`
+- `insecure`: (optional) allow insecure connections to the library. Only use this if you are pushing to your library during development.
+- `stream`: (optional) if `false` the response will be returned as a single response object, rather than a stream of objects
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/push -d '{
+  "model": "mattw/pygmalion:latest"
+}'
+```
+
+#### Response
+
+If `stream` is not specified, or set to `true`, a stream of JSON objects is returned:
+
+```json
+{ "status": "retrieving manifest" }
+```
+
+and then:
+
+```json
+{
+  "status": "starting upload",
+  "digest": "sha256:bc07c81de745696fdf5afca05e065818a8149fb0c77266fb584d9b2cba3711ab",
+  "total": 1928429856
+}
+```
+
+Then there is a series of uploading responses:
+
+```json
+{
+  "status": "starting upload",
+  "digest": "sha256:bc07c81de745696fdf5afca05e065818a8149fb0c77266fb584d9b2cba3711ab",
+  "total": 1928429856
+}
+```
+
+Finally, when the upload is complete:
+
+```json
+{"status":"pushing manifest"}
+{"status":"success"}
+```
+
+If `stream` is set to `false`, then the response is a single JSON object:
+
+```json
+{ "status": "success" }
+```
+
+## Generate Embeddings
+
+```
+POST /api/embed
+```
+
+Generate embeddings from a model
+
+### Parameters
+
+- `model`: name of model to generate embeddings from
+- `input`: text or list of text to generate embeddings for
+
+Advanced parameters:
+
+- `truncate`: truncates the end of each input to fit within context length. Returns error if `false` and context length is exceeded. Defaults to `true`
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
+- `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/embed -d '{
+  "model": "all-minilm",
+  "input": "Why is the sky blue?"
+}'
+```
+
+#### Response
+
+```json
+{
+  "model": "all-minilm",
+  "embeddings": [[
+    0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814,
+    0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348
+  ]],
+  "total_duration": 14143917,
+  "load_duration": 1019500,
+  "prompt_eval_count": 8
+}
+```
+
+#### Request (Multiple input)
+
+```shell
+curl http://localhost:11434/api/embed -d '{
+  "model": "all-minilm",
+  "input": ["Why is the sky blue?", "Why is the grass green?"]
+}'
+```
+
+#### Response
+
+```json
+{
+  "model": "all-minilm",
+  "embeddings": [[
+    0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814,
+    0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348
+  ],[
+    -0.0098027075, 0.06042469, 0.025257962, -0.006364387, 0.07272725,
+    0.017194884, 0.09032035, -0.051705178, 0.09951512, 0.09072481
+  ]]
+}
+```
+
+## List Running Models
+```
+GET /api/ps
+```
+
+List models that are currently loaded into memory.
+
+#### Examples
+
+### Request
+
+```shell
+curl http://localhost:11434/api/ps
+```
+
+#### Response
+
+A single JSON object will be returned.
+
+```json
+{
+  "models": [
+    {
+      "name": "mistral:latest",
+      "model": "mistral:latest",
+      "size": 5137025024,
+      "digest": "2ae6f6dd7a3dd734790bbbf58b8909a606e0e7e97e94b7604e0aa7ae4490e6d8",
+      "details": {
+        "parent_model": "",
+        "format": "gguf",
+        "family": "llama",
+        "families": [
+          "llama"
+        ],
+        "parameter_size": "7.2B",
+        "quantization_level": "Q4_0"
+      },
+      "expires_at": "2024-06-04T14:38:31.83753-07:00",
+      "size_vram": 5137025024
+    }
+  ]
+}
+```
+
+## Generate Embedding
+
+> Note: this endpoint has been superseded by `/api/embed`
+
+```
+POST /api/embeddings
+```
+
+Generate embeddings from a model
+
+### Parameters
+
+- `model`: name of model to generate embeddings from
+- `prompt`: text to generate embeddings for
+
+Advanced parameters:
+
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
+- `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/embeddings -d '{
+  "model": "all-minilm",
+  "prompt": "Here is an article about llamas..."
+}'
+```
+
+#### Response
+
+```json
+{
+  "embedding": [
+    0.5670403838157654, 0.009260174818336964, 0.23178744316101074, -0.2916173040866852, -0.8924556970596313,
+    0.8785552978515625, -0.34576427936553955, 0.5742510557174683, -0.04222835972905159, -0.137906014919281
+  ]
+}
+```
+
+## Version
+
+```
+GET /api/version
+```
+
+Retrieve the Ollama version
+
+### Examples
+
+#### Request
+
+```shell
+curl http://localhost:11434/api/version
+```
+
+#### Response
+
+```json
+{
+  "version": "0.5.1"
+}
+```
+
diff --git a/ollama_ai_integration/models/__init__.py b/ollama_ai_integration/models/__init__.py
new file mode 100644
index 0000000..06829c9
--- /dev/null
+++ b/ollama_ai_integration/models/__init__.py
@@ -0,0 +1,4 @@
+from . import ollama_provider_mixin
+from . import ai_provider_ollama
+from . import ollama_instance
+from . import ollama_model_stats
diff --git a/ollama_ai_integration/models/ai_provider_ollama.py b/ollama_ai_integration/models/ai_provider_ollama.py
new file mode 100644
index 0000000..3f6645e
--- /dev/null
+++ b/ollama_ai_integration/models/ai_provider_ollama.py
@@ -0,0 +1,34 @@
+from odoo import models, fields, api, _
+
+class OllamaProvider(models.Model):
+    _name = 'ai.provider.ollama'
+    _description = 'Ollama AI Provider'
+    _inherit = ['ai.provider.interface']
+
+    provider_type = fields.Selection(
+        selection=[('ollama', 'Ollama')],
+        default='ollama',
+        required=True,
+        help='Type of AI provider')
+    
+    # Ollama-specific Parameters
+    host = fields.Char(
+        string='Host',
+        default='http://localhost:11434',
+        required=True,
+        help='Ollama server host URL')
+    
+    def _get_available_models(self):
+        """Get list of available models from Ollama server."""
+        # TODO: Implement model discovery
+        return []
+
+    def _generate_text(self, prompt, **kwargs):
+        """Generate text using Ollama model."""
+        # TODO: Implement text generation
+        return ""
+
+    def _embed_text(self, text, **kwargs):
+        """Generate embeddings for text using Ollama model."""
+        # TODO: Implement text embedding
+        return []
diff --git a/ollama_ai_integration/models/ollama_model_stats.py b/ollama_ai_integration/models/ollama_model_stats.py
new file mode 100644
index 0000000..d9f93df
--- /dev/null
+++ b/ollama_ai_integration/models/ollama_model_stats.py
@@ -0,0 +1,82 @@
+from odoo import models, fields, api
+from datetime import datetime, timedelta
+
+class OllamaModelStats(models.Model):
+    _name = 'ollama.model.stats'
+    _description = 'Ollama Model Usage Statistics'
+    _inherit = ['ai.model.stats']
+    _order = 'date desc'
+
+    model_id = fields.Many2one('ai.model', string='Model', required=True, ondelete='cascade')
+    date = fields.Date(string='Date', required=True, default=fields.Date.context_today)
+    request_count = fields.Integer(string='Number of Requests', default=0)
+    token_count = fields.Integer(string='Total Tokens', default=0)
+    avg_response_time = fields.Float(string='Average Response Time (ms)', digits=(10, 2), default=0)
+    error_count = fields.Integer(string='Number of Errors', default=0)
+    version = fields.Char(string='Model Version', help='Version of the model when stats were recorded')
+
+    _sql_constraints = [
+        ('unique_model_date', 'unique(model_id, date)', 'Only one stat entry per model per day is allowed.')
+    ]
+
+    def _update_stats(self, model, tokens, response_time, error=False):
+        """Update statistics for a model."""
+        today = fields.Date.context_today(self)
+        stats = self.search([
+            ('model_id', '=', model.id),
+            ('date', '=', today)
+        ])
+
+        if not stats:
+            # Get model version
+            version = self.env['ai.provider.ollama']._get_model_info(
+                model.provider_instance_id, 
+                model.identifier
+            ).get('details', {}).get('sha256', '')[:8]  # First 8 chars of SHA
+
+            stats = self.create({
+                'model_id': model.id,
+                'date': today,
+                'version': version
+            })
+
+        # Update statistics
+        new_count = stats.request_count + 1
+        new_tokens = stats.token_count + tokens
+        new_time = ((stats.avg_response_time * stats.request_count) + response_time) / new_count
+        new_errors = stats.error_count + (1 if error else 0)
+
+        stats.write({
+            'request_count': new_count,
+            'token_count': new_tokens,
+            'avg_response_time': new_time,
+            'error_count': new_errors
+        })
+
+    @api.model
+    def get_model_stats(self, model_id, days=30):
+        """Get statistics for a model over the specified number of days."""
+        start_date = fields.Date.today() - timedelta(days=days)
+        stats = self.search([
+            ('model_id', '=', model_id),
+            ('date', '>=', start_date)
+        ])
+        
+        return {
+            'daily_stats': [{
+                'date': stat.date,
+                'requests': stat.request_count,
+                'tokens': stat.token_count,
+                'response_time': stat.avg_response_time,
+                'errors': stat.error_count,
+                'version': stat.version
+            } for stat in stats],
+            'summary': {
+                'total_requests': sum(stat.request_count for stat in stats),
+                'total_tokens': sum(stat.token_count for stat in stats),
+                'avg_response_time': sum(stat.avg_response_time * stat.request_count for stat in stats) / 
+                                   (sum(stat.request_count for stat in stats) if stats else 1),
+                'total_errors': sum(stat.error_count for stat in stats),
+                'versions_used': list(set(stat.version for stat in stats if stat.version))
+            }
+        }
diff --git a/ollama_ai_integration/models/ollama_provider.py b/ollama_ai_integration/models/ollama_provider.py
new file mode 100644
index 0000000..c307cd2
--- /dev/null
+++ b/ollama_ai_integration/models/ollama_provider.py
@@ -0,0 +1,269 @@
+import json
+import logging
+import requests
+from odoo import models, fields, _
+from odoo.exceptions import UserError
+
+_logger = logging.getLogger(__name__)
+
+class OllamaProvider(models.Model):
+    _name = 'ai.provider.ollama'
+    _description = 'Ollama AI Provider'
+    _inherit = ['ai.provider.interface']
+
+    def _get_provider_type(self):
+        return 'ollama'
+
+    def _get_model_info(self, instance, model_name):
+        """Get detailed information about a specific model."""
+        try:
+            response = requests.post(
+                f"{instance.host}/api/show",
+                json={'name': model_name}
+            )
+            if response.status_code == 200:
+                return response.json()
+            else:
+                _logger.error(
+                    "Failed to get model info for %s. Status: %s, Error: %s",
+                    model_name, response.status_code, response.text
+                )
+                return None
+        except requests.exceptions.RequestException as e:
+            _logger.error("Error getting model info: %s", str(e))
+            return None
+
+    def pull_model(self, instance, model_name):
+        """Pull a model from Ollama."""
+        try:
+            # Start the pull
+            response = requests.post(
+                f"{instance.host}/api/pull",
+                json={'name': model_name},
+                stream=True  # Enable streaming for progress updates
+            )
+
+            if response.status_code != 200:
+                raise UserError(_("Failed to pull model %s: %s") % 
+                              (model_name, response.text))
+
+            # Process the streaming response
+            for line in response.iter_lines():
+                if line:
+                    try:
+                        progress = json.loads(line)
+                        status = progress.get('status')
+                        if status:
+                            _logger.info(
+                                "Pulling model %s: %s",
+                                model_name, status
+                            )
+                    except json.JSONDecodeError:
+                        continue
+
+            return True
+
+        except requests.exceptions.RequestException as e:
+            raise UserError(_("Error pulling model %s: %s") % 
+                          (model_name, str(e)))
+
+    def delete_model(self, instance, model_name):
+        """Delete a model from Ollama."""
+        try:
+            response = requests.delete(
+                f"{instance.host}/api/delete",
+                json={'name': model_name}
+            )
+
+            if response.status_code != 200:
+                raise UserError(_("Failed to delete model %s: %s") % 
+                              (model_name, response.text))
+
+            return True
+
+        except requests.exceptions.RequestException as e:
+            raise UserError(_("Error deleting model %s: %s") % 
+                          (model_name, str(e)))
+
+    def test_connection(self, instance):
+        """Test the connection to the Ollama server."""
+        try:
+            response = requests.get(f"{instance.host}/api/tags")
+            if response.status_code != 200:
+                raise UserError(_(
+                    "Failed to connect to Ollama server. Status code: %s. Error: %s",
+                    response.status_code, response.text
+                ))
+            return True
+        except requests.exceptions.RequestException as e:
+            raise UserError(_(
+                "Failed to connect to Ollama server: %s", str(e)
+            ))
+
+    def _format_chat_messages(self, messages):
+        """Format chat messages for Ollama API."""
+        formatted_prompt = ""
+        for message in messages:
+            role = message.get('role', 'user')
+            content = message.get('content', '')
+            
+            if role == 'system':
+                formatted_prompt += f"<system>{content}</system>\n"
+            elif role == 'assistant':
+                formatted_prompt += f"Assistant: {content}\n"
+            else:  # user
+                formatted_prompt += f"Human: {content}\n"
+        
+        return formatted_prompt.strip()
+
+    def generate_response(self, instance, model, messages, **kwargs):
+        """Generate a response using the chat completion API."""
+        try:
+            # Format messages into Ollama's expected format
+            prompt = self._format_chat_messages(messages)
+            
+            # Get model options from instance
+            options = instance._get_provider_options()
+            
+            # Prepare the request payload
+            payload = {
+                'model': model.identifier,
+                'prompt': prompt,
+                'stream': False,
+                **options
+            }
+            
+            # Make the API call
+            response = requests.post(
+                f"{instance.host}/api/generate",
+                json=payload
+            )
+            
+            if response.status_code != 200:
+                raise UserError(_("Failed to generate response: %s") % response.text)
+            
+            response_data = response.json()
+            generated_text = response_data.get('response', '')
+            
+            # Update statistics
+            total_tokens = response_data.get('eval_count', 0)
+            response_time = response_data.get('total_duration', 0)
+            version = self._get_model_info(instance, model.identifier)\
+                .get('details', {}).get('sha256', '')[:8]
+            self._track_model_usage(
+                model, total_tokens, response_time, version=version
+            )
+            
+            # Return the response in a standardized format
+            return {
+                'content': generated_text,
+                'role': 'assistant',
+                'metadata': {
+                    'eval_count': response_data.get('eval_count'),
+                    'eval_duration': response_data.get('eval_duration'),
+                    'total_duration': response_data.get('total_duration'),
+                    'load_duration': response_data.get('load_duration'),
+                }
+            }
+            
+        except requests.exceptions.RequestException as e:
+            # Log error in statistics
+            if model:
+                self._track_model_usage(model, error=True)
+            raise UserError(_("Error generating response: %s") % str(e))
+
+    def sync_models(self, instance):
+        """Synchronize available models from the Ollama server."""
+        self.test_connection(instance)
+
+        try:
+            response = requests.get(f"{instance.host}/api/tags")
+            models_data = response.json().get('models', [])
+
+            # Get existing models for this instance
+            existing_models = self.env['ai.model'].search([
+                ('provider_instance_id', '=', instance.id)
+            ])
+            existing_identifiers = {m.identifier: m for m in existing_models}
+
+            for model_data in models_data:
+                identifier = model_data.get('name')
+                if not identifier:
+                    continue
+
+                # Get model details
+                model_info = self._get_model_info(instance, identifier)
+                model_details = model_info.get('details', {})
+                
+                model_values = {
+                    'name': identifier.title(),
+                    'identifier': identifier,
+                    'provider_instance_id': instance.id,
+                    'company_id': instance.company_id.id,
+                    'active': True,
+                    'description': f"Ollama model: {identifier}\\nSize: {model_data.get('size', 'Unknown')}\\nModified: {model_data.get('modified', 'Unknown')}",
+                }
+
+                if identifier in existing_identifiers:
+                    # Update existing model
+                    existing_identifiers[identifier].write(model_values)
+                    del existing_identifiers[identifier]
+                else:
+                    # Create new model
+                    self.env['ai.model'].create(model_values)
+
+            # Deactivate models that no longer exist
+            for model in existing_identifiers.values():
+                model.active = False
+
+            return True
+
+        except requests.exceptions.RequestException as e:
+            raise UserError(_(
+                "Failed to sync models from Ollama server: %s", str(e)
+            ))
+
+    def send_message(self, message, model, **kwargs):
+        """Send a message to the Ollama server."""
+        instance = model.provider_instance_id
+        
+        try:
+            # Prepare the request payload
+            payload = {
+                'model': model.identifier,
+                'prompt': message.get('content', ''),
+                'stream': False,
+                'options': kwargs.get('options', {}),
+            }
+
+            # Add system message if provided
+            if message.get('role') == 'system':
+                payload['system'] = message['content']
+
+            # Send the request
+            response = requests.post(
+                f"{instance.host}/api/generate",
+                json=payload,
+                timeout=(instance.timeout or 30)
+            )
+
+            if response.status_code != 200:
+                raise UserError(_(
+                    "Ollama server error. Status code: %s. Error: %s",
+                    response.status_code, response.text
+                ))
+
+            result = response.json()
+            return result.get('response', '')
+
+        except requests.exceptions.Timeout:
+            raise UserError(_("Request to Ollama server timed out"))
+        except requests.exceptions.RequestException as e:
+            raise UserError(_(
+                "Error communicating with Ollama server: %s", str(e)
+            ))
+        except Exception as e:
+            _logger.error("Unexpected error in Ollama provider: %s", str(e))
+            raise UserError(_(
+                "Unexpected error in Ollama provider: %s", str(e)
+            ))
diff --git a/ollama_ai_integration/models/ollama_provider_mixin.py b/ollama_ai_integration/models/ollama_provider_mixin.py
new file mode 100644
index 0000000..45d4a3b
--- /dev/null
+++ b/ollama_ai_integration/models/ollama_provider_mixin.py
@@ -0,0 +1,141 @@
+from odoo import models, fields, api, _
+
+class OllamaProviderMixin(models.AbstractModel):
+    _name = 'ollama.provider.mixin'
+    _description = 'Ollama Provider Configuration Mixin'
+    _inherit = ['ai.generation.params']
+
+    provider_type = fields.Selection(
+        selection_add=[('ollama', 'Ollama')],
+        ondelete={'ollama': 'cascade'})
+    
+    # Ollama-specific Parameters
+    num_ctx = fields.Integer(
+        string='Context Length',
+        help='Maximum number of tokens to consider for context. Range: [0 - 32768].',
+        default=4096)
+    
+    # Advanced Sampling Parameters
+    top_k = fields.Integer(
+        string='Top K',
+        help='Limits the number of tokens to sample from. Range: [1 - 100].',
+        default=40)
+    
+    min_p = fields.Float(
+        string='Min P',
+        help='Sets a minimum probability threshold for token selection. Range: [0.0 - 1.0].',
+        default=0.05,
+        digits=(3, 2))
+    
+    repeat_penalty = fields.Float(
+        string='Repeat Penalty',
+        help='Penalty for repeating tokens. Range: [1.0 - 2.0]. Higher values make repetition less likely.',
+        default=1.1,
+        digits=(3, 2))
+    
+    repeat_last_n = fields.Integer(
+        string='Repeat Last N',
+        help='Sets the context window for repeat penalty. Range: [0 - 4096]. Default is 64, 0 disables.',
+        default=64)
+    
+    # Advanced Generation Parameters
+    seed = fields.Integer(
+        string='Random Seed',
+        help='Sets the random seed for generation. Range: [0 - 2147483647]. Use 0 for random.',
+        default=0)
+    
+    num_gpu = fields.Integer(
+        string='Number of GPUs',
+        help='Number of GPUs to use for generation. Range: [0 - 8]. 0 means CPU only.',
+        default=1)
+    
+    num_thread = fields.Integer(
+        string='Number of Threads',
+        help='Number of CPU threads to use for generation. Range: [1 - 32].',
+        default=8)
+    
+    mirostat = fields.Selection([
+        ('0', 'Disabled'),
+        ('1', 'Mirostat'),
+        ('2', 'Mirostat 2.0')],
+        string='Mirostat Mode',
+        help='Enable Mirostat sampling for controlling perplexity',
+        default='0')
+    
+    mirostat_tau = fields.Float(
+        string='Mirostat Tau',
+        help='Mirostat target entropy. Range: [0.0 - 10.0].',
+        default=5.0,
+        digits=(3, 2))
+    
+    mirostat_eta = fields.Float(
+        string='Mirostat Eta',
+        help='Mirostat learning rate. Range: [0.0 - 1.0].',
+        default=0.1,
+        digits=(3, 2))
+    
+    # Ollama-specific Response Control
+    
+    tfs_z = fields.Float(
+        string='Tail Free Sampling Z',
+        help='Tail free sampling parameter. Range: [0.0 - 2.0]. Higher value = more focused.',
+        default=1.0,
+        digits=(3, 2))
+    
+    # System Settings
+    num_batch = fields.Integer(
+        string='Batch Size',
+        help='Number of prompts to batch together',
+        default=8)
+    
+    num_keep = fields.Integer(
+        string='Keep Last N Tokens',
+        help='Number of tokens to keep from initial prompt',
+        default=0)
+    
+    skip_special_tokens = fields.Boolean(
+        string='Skip Special Tokens',
+        help='Skip special tokens in generation',
+        default=True)
+    
+    @api.model
+    def default_get(self, fields_list):
+        defaults = super().default_get(fields_list)
+        if 'provider_type' in fields_list:
+            defaults['provider_type'] = 'ollama'
+        if 'host' in fields_list and not defaults.get('host'):
+            defaults['host'] = 'http://localhost:11434'
+        return defaults
+    
+    def _get_provider_options(self):
+        """Get Ollama-specific options for API calls."""
+        self.ensure_one()
+        options = {
+            'temperature': self.temperature,
+            'num_ctx': self.num_ctx,
+            'num_predict': self.num_predict,
+            'top_k': self.top_k,
+            'top_p': self.top_p,
+            'min_p': self.min_p,
+            'repeat_penalty': self.repeat_penalty,
+            'repeat_last_n': self.repeat_last_n,
+            'seed': self.seed,
+            'num_gpu': self.num_gpu,
+            'num_thread': self.num_thread,
+            'mirostat': int(self.mirostat),
+            'mirostat_tau': self.mirostat_tau,
+            'mirostat_eta': self.mirostat_eta,
+            'num_batch': self.num_batch,
+            'num_keep': self.num_keep,
+            'tfs_z': self.tfs_z,
+            'skip_special_tokens': self.skip_special_tokens,
+        }
+        
+        if self.stop_sequences:
+            options['stop'] = [
+                seq.strip()
+                for seq in self.stop_sequences.split(',')
+                if seq.strip()
+            ]
+            
+        return options
diff --git a/ollama_ai_integration/security/ir.model.access.csv b/ollama_ai_integration/security/ir.model.access.csv
new file mode 100644
index 0000000..ad2ea39
--- /dev/null
+++ b/ollama_ai_integration/security/ir.model.access.csv
@@ -0,0 +1,3 @@
+id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
+access_ollama_model_stats_user,ollama.model.stats.user,model_ollama_model_stats,base.group_user,1,0,0,0
+access_ollama_model_stats_manager,ollama.model.stats.manager,model_ollama_model_stats,base.group_system,1,1,1,1
diff --git a/ollama_ai_integration/views/ollama_stats_views.xml b/ollama_ai_integration/views/ollama_stats_views.xml
new file mode 100644
index 0000000..7d67b49
--- /dev/null
+++ b/ollama_ai_integration/views/ollama_stats_views.xml
@@ -0,0 +1,118 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- List View -->
+    <record id="view_ollama_model_stats_list" model="ir.ui.view">
+        <field name="name">ollama.model.stats.list</field>
+        <field name="model">ollama.model.stats</field>
+        <field name="arch" type="xml">
+            <list string="Model Statistics">
+                <field name="date"/>
+                <field name="model_id"/>
+                <field name="version"/>
+                <field name="request_count"/>
+                <field name="token_count"/>
+                <field name="avg_response_time"/>
+                <field name="error_count"/>
+            </list>
+        </field>
+    </record>
+
+    <!-- Form View -->
+    <record id="view_ollama_model_stats_form" model="ir.ui.view">
+        <field name="name">ollama.model.stats.form</field>
+        <field name="model">ollama.model.stats</field>
+        <field name="arch" type="xml">
+            <form string="Model Statistics">
+                <sheet>
+                    <group>
+                        <group>
+                            <field name="date"/>
+                            <field name="model_id"/>
+                            <field name="version"/>
+                        </group>
+                        <group>
+                            <field name="request_count"/>
+                            <field name="token_count"/>
+                            <field name="avg_response_time"/>
+                            <field name="error_count"/>
+                        </group>
+                    </group>
+                </sheet>
+            </form>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="view_ollama_model_stats_search" model="ir.ui.view">
+        <field name="name">ollama.model.stats.search</field>
+        <field name="model">ollama.model.stats</field>
+        <field name="arch" type="xml">
+            <search string="Search Model Statistics">
+                <field name="model_id"/>
+                <field name="version"/>
+                <field name="date"/>
+                <filter string="Today" name="today" domain="[('date','=',context_today().strftime('%Y-%m-%d'))]"/>
+                <filter string="Last 7 Days" name="last_week" domain="[('date','>=', (context_today() - datetime.timedelta(days=7)).strftime('%Y-%m-%d'))]"/>
+                <filter string="Last 30 Days" name="last_month" domain="[('date','>=', (context_today() - datetime.timedelta(days=30)).strftime('%Y-%m-%d'))]"/>
+                <group expand="0" string="Group By">
+                    <filter string="Model" name="group_by_model" context="{'group_by': 'model_id'}"/>
+                    <filter string="Version" name="group_by_version" context="{'group_by': 'version'}"/>
+                    <filter string="Date" name="group_by_date" context="{'group_by': 'date'}"/>
+                </group>
+            </search>
+        </field>
+    </record>
+
+    <!-- Graph View -->
+    <record id="view_ollama_model_stats_graph" model="ir.ui.view">
+        <field name="name">ollama.model.stats.graph</field>
+        <field name="model">ollama.model.stats</field>
+        <field name="arch" type="xml">
+            <graph string="Model Statistics" type="line" sample="1">
+                <field name="date" type="row"/>
+                <field name="request_count" type="measure"/>
+                <field name="token_count" type="measure"/>
+                <field name="error_count" type="measure"/>
+            </graph>
+        </field>
+    </record>
+
+    <!-- Pivot View -->
+    <record id="view_ollama_model_stats_pivot" model="ir.ui.view">
+        <field name="name">ollama.model.stats.pivot</field>
+        <field name="model">ollama.model.stats</field>
+        <field name="arch" type="xml">
+            <pivot string="Model Statistics" sample="1">
+                <field name="model_id" type="row"/>
+                <field name="date" type="col"/>
+                <field name="request_count" type="measure"/>
+                <field name="token_count" type="measure"/>
+                <field name="avg_response_time" type="measure"/>
+                <field name="error_count" type="measure"/>
+            </pivot>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="action_ollama_model_stats" model="ir.actions.act_window">
+        <field name="name">Model Statistics</field>
+        <field name="res_model">ollama.model.stats</field>
+        <field name="view_mode">list,form,graph,pivot</field>
+        <field name="context">{'search_default_last_month': 1}</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                No statistics recorded yet
+            </p>
+            <p>
+                Statistics will be automatically recorded as you use your AI models.
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Item -->
+    <menuitem id="menu_ollama_model_stats"
+              name="Model Statistics"
+              parent="ai_integration.menu_ai_integration"
+              action="action_ollama_model_stats"
+              sequence="30"/>
+</odoo>
diff --git a/ollama_ai_integration/views/ollama_views.xml b/ollama_ai_integration/views/ollama_views.xml
new file mode 100644
index 0000000..15ff3f5
--- /dev/null
+++ b/ollama_ai_integration/views/ollama_views.xml
@@ -0,0 +1,105 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <!-- Form View -->
+    <record id="ollama_instance_view_form" model="ir.ui.view">
+        <field name="name">ollama.instance.form</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="type">form</field>
+        <field name="mode">primary</field>
+        <field name="inherit_id" ref="ai_integration.ai_provider_instance_view_form"/>
+        <field name="arch" type="xml">
+            <xpath expr="//div[@name='button_box']" position="replace">
+                <div class="oe_button_box" name="button_box">
+                    <button name="toggle_active" type="object" class="oe_stat_button" icon="fa-archive">
+                        <field name="active" widget="boolean_button" options="{'terminology': 'archive'}"/>
+                    </button>
+                </div>
+            </xpath>
+            <xpath expr="//notebook" position="inside">
+                <page string="Ollama Settings" name="ollama_settings"
+                      invisible="provider_type != 'ollama'">
+                    <group>
+                        <group string="Generation Parameters">
+                            <field name="num_ctx"/>
+                            <field name="temperature"/>
+                            <field name="top_p"/>
+                            <field name="top_k"/>
+                            <field name="repeat_penalty"/>
+                        </group>
+                        <group string="Advanced Settings">
+                            <field name="stop_sequences" placeholder="Enter comma-separated stop sequences"/>
+                        </group>
+                    </group>
+                    <div class="alert alert-info" role="alert" style="margin-top: 10px;">
+                        <p><strong>Note:</strong> These settings will be used as defaults for all requests to this Ollama instance. 
+                        They can be overridden on a per-request basis.</p>
+                        <ul>
+                            <li><strong>Context Length:</strong> Longer context allows the model to consider more previous text but uses more memory.</li>
+                            <li><strong>Temperature:</strong> Higher values (>1.0) make output more random, lower values make it more focused and deterministic.</li>
+                            <li><strong>Top P:</strong> Controls diversity via nucleus sampling. Lower values (0.1) are more focused, higher values (0.9) more diverse.</li>
+                            <li><strong>Top K:</strong> Limits the cumulative probability of tokens to sample from. Lower values are more focused.</li>
+                            <li><strong>Repeat Penalty:</strong> Higher values (>1.0) make the model less likely to repeat itself.</li>
+                        </ul>
+                    </div>
+                </page>
+            </xpath>
+        </field>
+    </record>
+
+    <!-- Tree View -->
+    <record id="ollama_instance_view_list" model="ir.ui.view">
+        <field name="name">ollama.instance.list</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="type">list</field>
+        <field name="arch" type="xml">
+            <list>
+                <field name="name"/>
+                <field name="provider_type"/>
+                <field name="host"/>
+                <field name="num_ctx" optional="show"/>
+                <field name="temperature" optional="hide"/>
+                <field name="active"/>
+            </list>
+        </field>
+    </record>
+
+    <!-- Search View -->
+    <record id="ollama_instance_view_search" model="ir.ui.view">
+        <field name="name">ollama.instance.search</field>
+        <field name="model">ai.provider.instance</field>
+        <field name="mode">primary</field>
+        <field name="inherit_id" ref="ai_integration.ai_provider_instance_view_search"/>
+        <field name="arch" type="xml">
+            <xpath expr="//group" position="inside">
+                <filter string="Context Length" name="group_by_num_ctx" 
+                        domain="[('provider_type', '=', 'ollama')]"
+                        context="{'group_by': 'num_ctx'}"/>
+            </xpath>
+        </field>
+    </record>
+
+    <!-- Action -->
+    <record id="action_ollama_instance" model="ir.actions.act_window">
+        <field name="name">Ollama Instances</field>
+        <field name="res_model">ai.provider.instance</field>
+        <field name="view_mode">list,form</field>
+        <field name="domain">[('provider_type', '=', 'ollama')]</field>
+        <field name="context">{'default_provider_type': 'ollama'}</field>
+        <field name="help" type="html">
+            <p class="o_view_nocontent_smiling_face">
+                Create your first Ollama instance
+            </p>
+            <p>
+                Configure Ollama instances to use local AI models in your Odoo instance.
+                Make sure you have Ollama installed and running on your server.
+            </p>
+        </field>
+    </record>
+
+    <!-- Menu Item -->
+    <menuitem id="menu_ollama_instance"
+              name="Ollama Instances"
+              parent="ai_integration.ai_integration_menu_config"
+              action="action_ollama_instance"
+              sequence="20"/>
+</odoo>