diff --git a/macros/marketplace/groq/README.md b/macros/marketplace/groq/README.md
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--- a/macros/marketplace/groq/README.md
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-# Groq API Integration
-
-This directory contains Snowflake UDFs for integrating with the Groq API, providing fast inference with various open-source language models.
-
-## Available Models
-
-- **llama3-8b-8192**: Meta Llama 3 8B model with 8K context (Very Fast)
-- **llama3-70b-8192**: Meta Llama 3 70B model with 8K context (Fast, better quality)
-- **gemma-7b-it**: Google Gemma 7B instruction-tuned (Instruction following)
-
-**Note**: Check [Groq's documentation](https://console.groq.com/docs/models) for the latest available models, or query the live model list with:
-
-```sql
--- Get current list of available models
-SELECT groq_utils.list_models();
-
--- Get details about a specific model  
-SELECT groq_utils.get_model_info('llama3-8b-8192');
-```
-
-## Setup
-
-1. Get your Groq API key from [https://console.groq.com/keys](https://console.groq.com/keys)
-
-2. Store the API key in Snowflake secrets:
-   - **System users**: Store under `_FSC_SYS/GROQ`
-   - **Regular users**: Store under `vault/groq/api`
-
-3. Deploy the Groq marketplace functions:
-   ```bash
-   dbt run --models groq__ groq_utils__groq_utils
-   ```
-
-**Note**: Groq functions automatically use the appropriate secret path based on your user type.
-
-## Functions
-
-### `groq.chat_completions(messages, [model], [max_tokens], [temperature], [top_p], [frequency_penalty], [presence_penalty])`
-
-Send messages to Groq for chat completion.
-
-### `groq.quick_chat(user_message, [system_message])`
-
-Quick single or system+user message chat.
-
-**Note**: All functions use the `GROQ_API_KEY` environment variable for authentication.
-
-### `groq.extract_response_text(groq_response)`
-
-Extract text content from Groq API responses.
-
-### `groq_utils.post_api(path, body)`
-
-Low-level HTTP POST to Groq API endpoints.
-
-### `groq_utils.get_api(path)`
-
-Low-level HTTP GET to Groq API endpoints.
-
-### `groq_utils.list_models()`
-
-List all available models from Groq API.
-
-### `groq_utils.get_model_info(model_id)`
-
-Get information about a specific model.
-
-## Examples
-
-### Basic Chat
-```sql
--- Simple chat with default model (llama3-8b-8192)
-SELECT groq.chat_completions(
-  [{'role': 'user', 'content': 'Explain quantum computing in simple terms'}]
-);
-
--- Quick chat shorthand
-SELECT groq.quick_chat('What is the capital of France?');
-```
-
-### Chat with System Prompt
-```sql
--- Chat with system prompt using quick_chat
-SELECT groq.quick_chat(
-  'You are a helpful Python programming assistant.',
-  'How do I create a list comprehension?'
-);
-
--- Full chat_completions with system message
-SELECT groq.chat_completions(
-  [
-    {'role': 'system', 'content': 'You are a data scientist expert.'},
-    {'role': 'user', 'content': 'Explain the difference between supervised and unsupervised learning'}
-  ]
-);
-```
-
-### Different Models
-```sql
--- Use the larger, more capable model
-SELECT groq.chat_completions(
-  [{'role': 'user', 'content': 'Write a Python function to calculate fibonacci numbers'}],
-  'llama3-70b-8192',
-  500  -- max_tokens
-);
-
--- Use the larger model for better quality
-SELECT groq.chat_completions(
-  [{'role': 'user', 'content': 'Analyze this complex problem...'}],
-  'llama3-70b-8192'
-);
-```
-
-### Custom Parameters
-```sql
--- Fine-tune response generation
-SELECT groq.chat_completions(
-  [{'role': 'user', 'content': 'Generate creative story ideas'}],
-  'llama3-8b-8192',  -- model
-  300,                -- max_tokens
-  0.8,                -- temperature (more creative)
-  0.9,                -- top_p
-  0.1,                -- frequency_penalty (reduce repetition)
-  0.1                 -- presence_penalty (encourage new topics)
-);
-```
-
-
-### Extract Response Text
-```sql
--- Get just the text content from API response
-WITH chat_response AS (
-  SELECT groq.quick_chat('Hello, how are you?') as response
-)
-SELECT groq.extract_response_text(response) as message_text
-FROM chat_response;
-```
-
-### Conversational Chat
-```sql
--- Multi-turn conversation
-SELECT groq.chat_completions([
-  {'role': 'system', 'content': 'You are a helpful coding assistant.'},
-  {'role': 'user', 'content': 'I need help with SQL queries'},
-  {'role': 'assistant', 'content': 'I\'d be happy to help with SQL! What specific query are you working on?'},
-  {'role': 'user', 'content': 'How do I join two tables with a LEFT JOIN?'}
-]);
-```
-
-### Model Comparison
-```sql
--- Compare responses from different models
-WITH responses AS (
-  SELECT 
-    'llama3-8b-8192' as model,
-    groq.extract_response_text(
-      groq.chat_completions([{'role': 'user', 'content': 'Explain machine learning'}], 'llama3-8b-8192', 100)
-    ) as response
-  UNION ALL
-  SELECT 
-    'llama3-70b-8192' as model,
-    groq.extract_response_text(
-      groq.chat_completions([{'role': 'user', 'content': 'Explain machine learning'}], 'llama3-70b-8192', 100)
-    ) as response
-)
-SELECT * FROM responses;
-```
-
-### Batch Processing
-```sql
--- Process multiple questions
-WITH questions AS (
-  SELECT * FROM VALUES
-    ('What is Python?'),
-    ('What is JavaScript?'),
-    ('What is SQL?')
-  AS t(question)
-)
-SELECT 
-  question,
-  groq.extract_response_text(
-    groq.quick_chat(question, 'You are a programming tutor.')
-  ) as answer
-FROM questions;
-```
-
-### Get Available Models
-```sql
--- List all available models with details
-SELECT 
-  model.value:id::STRING as model_id,
-  model.value:object::STRING as object_type,
-  model.value:created::INTEGER as created_timestamp,
-  model.value:owned_by::STRING as owned_by
-FROM (
-  SELECT groq_utils.list_models() as response
-),
-LATERAL FLATTEN(input => response:data) as model
-ORDER BY model_id;
-
--- Check if a specific model is available
-WITH models AS (
-  SELECT groq_utils.list_models() as response
-)
-SELECT 
-  CASE 
-    WHEN ARRAY_CONTAINS('llama3-70b-8192'::VARIANT, response:data[*]:id) 
-    THEN 'Model is available'
-    ELSE 'Model not found'
-  END as availability
-FROM models;
-```
-
-### GitHub Actions Integration Example
-```sql
--- Example of how this is used in GitHub Actions failure analysis
-SELECT 
-  run_id,
-  groq.extract_response_text(
-    groq.quick_chat(
-      CONCAT('Analyze this failure: Job=', job_name, ' Error=', error_logs),
-      'You are analyzing CI/CD failures. Provide concise root cause analysis.'
-    )
-  ) as ai_analysis
-FROM my_failed_jobs
-WHERE run_id = '12345678';
-```
-
-## Error Handling
-
-The functions include built-in error handling. Check for errors in responses:
-
-```sql
-WITH response AS (
-  SELECT groq.quick_chat('Hello') as result
-)
-SELECT 
-  CASE 
-    WHEN result:error IS NOT NULL THEN result:error:message::STRING
-    ELSE groq.extract_response_text(result)
-  END as final_response
-FROM response;
-```
-
-## Performance Tips
-
-1. **Model Selection**: Use `llama3-8b-8192` for fast, simple tasks and `llama3-70b-8192` for complex reasoning
-2. **Token Limits**: Set appropriate `max_tokens` to control costs and response length  
-3. **Temperature**: Use lower values (0.1-0.3) for factual tasks, higher (0.7-1.0) for creative tasks
-4. **Stay Updated**: Check Groq's model documentation regularly as they add new models and deprecate others
-
-## Integration with GitHub Actions
-
-This Groq integration is used by the GitHub Actions failure analysis system in `slack_notify` macro:
-
-```sql
--- In your GitHub Actions workflow
-dbt run-operation slack_notify --vars '{
-  "owner": "your-org",
-  "repo": "your-repo",
-  "run_id": "12345678",
-  "ai_provider": "groq",
-  "enable_ai_analysis": true
-}'
-```
\ No newline at end of file
diff --git a/macros/marketplace/groq/chat_udfs.yaml.sql b/macros/marketplace/groq/chat_udfs.yaml.sql
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index e35bd0c..0000000
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-{% macro config_groq_chat_udfs(schema_name = "groq", utils_schema_name = "groq_utils") -%}
-{#
-    This macro is used to generate API calls to Groq chat completion endpoints
- #}
-
-- name: {{ schema_name -}}.chat_completions
-  signature:
-    - [MESSAGES, ARRAY, Array of message objects]
-    - [MODEL, STRING, The model to use (optional, defaults to llama3-8b-8192)]
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$Send messages to Groq and get a chat completion response with optional model selection [API docs: Chat Completions](https://console.groq.com/docs/api-reference#chat-completions)$$
-  sql: |
-    SELECT groq_utils.post_api(
-        '/openai/v1/chat/completions',
-        {
-            'model': COALESCE(MODEL, 'llama3-8b-8192'),
-            'messages': MESSAGES,
-            'max_tokens': 1024,
-            'temperature': 0.1
-        }
-    ) as response
-
-- name: {{ schema_name -}}.quick_chat
-  signature:
-    - [USER_MESSAGE, STRING, The user message to send]
-    - [MODEL, STRING, The model to use (optional, defaults to llama3-8b-8192)]
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$Quick single message chat with Groq using optional model selection$$
-  sql: |
-    SELECT {{ schema_name }}.chat_completions(
-        ARRAY_CONSTRUCT(
-            OBJECT_CONSTRUCT('role', 'user', 'content', USER_MESSAGE)
-        ),
-        MODEL
-    ) as response
-
-- name: {{ schema_name -}}.extract_response_text
-  signature:
-    - [GROQ_RESPONSE, VARIANT, The response object from Groq API]
-  return_type:
-    - "STRING"
-  options: |
-    COMMENT = $$Extract the text content from a Groq chat completion response$$
-  sql: |
-    SELECT COALESCE(
-      GROQ_RESPONSE:choices[0]:message:content::STRING,
-      GROQ_RESPONSE:error:message::STRING,
-      'No response available'
-    )
-
-{% endmacro %}
diff --git a/macros/marketplace/groq/utils_udfs.yaml.sql b/macros/marketplace/groq/utils_udfs.yaml.sql
deleted file mode 100644
index 7c0da69..0000000
--- a/macros/marketplace/groq/utils_udfs.yaml.sql
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-{% macro config_groq_utils_udfs(schema_name = "groq_utils", utils_schema_name = "groq_utils") -%}
-{#
-    This macro is used to generate API calls to Groq API endpoints
- #}
-- name: {{ schema_name -}}.post_api
-  signature:
-    - [PATH, STRING, The API endpoint path]
-    - [BODY, OBJECT, The request body]
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$Make POST requests to Groq API [API docs: Groq](https://console.groq.com/docs/api-reference)$$
-  sql: |
-    SELECT live.udf_api_v2(
-        'POST',
-        CONCAT('https://api.groq.com', PATH),
-        {
-            'Authorization': 'Bearer {API_KEY}',
-            'Content-Type': 'application/json',
-            'fsc-quantum-execution-mode': 'async'
-        },
-        BODY,
-        IFF(_utils.udf_whoami() <> CURRENT_USER(), '_FSC_SYS/GROQ', 'Vault/prod/livequery/groq')
-    ) as response
-
-- name: {{ schema_name -}}.get_api
-  signature:
-    - [PATH, STRING, The API endpoint path]
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$Make GET requests to Groq API [API docs: Groq](https://console.groq.com/docs/api-reference)$$
-  sql: |
-    SELECT live.udf_api_v2(
-        'GET',
-        CONCAT('https://api.groq.com', PATH),
-        {
-            'Authorization': 'Bearer {API_KEY}',
-            'Content-Type': 'application/json',
-            'fsc-quantum-execution-mode': 'async'
-        },
-        NULL,
-        IFF(_utils.udf_whoami() <> CURRENT_USER(), '_FSC_SYS/GROQ', 'Vault/prod/livequery/groq')
-    ) as response
-
-- name: {{ schema_name -}}.list_models
-  signature:
-    - []
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$List available models from Groq API$$
-  sql: |
-    SELECT {{ schema_name }}.get('/openai/v1/models')
-
-- name: {{ schema_name -}}.get_model_info
-  signature:
-    - [MODEL_ID, STRING, The model ID to get info for]
-  return_type:
-    - "VARIANT"
-  options: |
-    COMMENT = $$Get information about a specific model$$
-  sql: |
-    SELECT {{ schema_name }}.get_api('/openai/v1/models/' || MODEL_ID)
-
-{% endmacro %}
diff --git a/models/deploy/marketplace/groq/groq__.sql b/models/deploy/marketplace/groq/groq__.sql
deleted file mode 100644
index 367f44a..0000000
--- a/models/deploy/marketplace/groq/groq__.sql
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@@ -1,6 +0,0 @@
--- depends_on: {{ ref('live') }}
--- depends_on: {{ ref('groq_utils__groq_utils') }}
-{%- set configs = [
-    config_groq_chat_udfs,
-    ] -%}
-{{- ephemeral_deploy_marketplace(configs) -}}
diff --git a/models/deploy/marketplace/groq/groq__.yml b/models/deploy/marketplace/groq/groq__.yml
deleted file mode 100644
index c9293d5..0000000
--- a/models/deploy/marketplace/groq/groq__.yml
+++ /dev/null
@@ -1,41 +0,0 @@
-version: 2
-models:
-  - name: groq__
-    columns:
-      - name: chat_completions
-        tests:
-          - test_udf_without_context:
-              name: test_groq__chat_completions_simple
-              args: >
-                [{'role': 'user', 'content': 'Hello, how are you?'}],
-                'llama3-8b-8192'
-              assertions:
-                - result:data:choices IS NOT NULL
-                - result:data:model IS NOT NULL
-
-      - name: quick_chat
-        tests:
-          - test_udf_without_context:
-              name: test_groq__quick_chat_single_message
-              args: >
-                'Hello, how are you?',
-                'llama3-8b-8192'
-              assertions:
-                - result:data:choices IS NOT NULL
-
-
-      - name: extract_response_text
-        tests:
-          - test_udf_without_context:
-              name: test_groq__extract_response_text
-              args: >
-                {'choices': [{'message': {'content': 'Hello there!'}}]}
-              assertions:
-                - result = 'Hello there!'
-          - test_udf_without_context:
-              name: test_groq__extract_response_text_error
-              args: >
-                {'error': {'message': 'API Error occurred'}}
-              assertions:
-                - result = 'API Error occurred'
-
diff --git a/models/deploy/marketplace/groq/groq_utils__groq_utils.sql b/models/deploy/marketplace/groq/groq_utils__groq_utils.sql
deleted file mode 100644
index 94ec865..0000000
--- a/models/deploy/marketplace/groq/groq_utils__groq_utils.sql
+++ /dev/null
@@ -1,5 +0,0 @@
--- depends_on: {{ ref('live') }}
-{%- set configs = [
-    config_groq_utils_udfs,
-    ] -%}
-{{- ephemeral_deploy_marketplace(configs) -}}