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docs(config): remove deprecated ai models from documentation #124

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224 changes: 19 additions & 205 deletions docs/admin/configuration/codemie/ai-models-integration/codemie-ai-config.md
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Original file line number Diff line number Diff line change
Expand Up @@ -27,69 +27,6 @@ Native integration uses environment-specific YAML configuration files to define
```yaml
# Configuration file for managing multiple LLM and embedding models
llm_models:
- base_name: "claude-3-5-sonnet"
deployment_name: "anthropic.claude-3-5-sonnet-20240620-v1:0"
label: "Bedrock Claude 3.5 Sonnet"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 4096
cost:
input: 0.000003
output: 0.000015

- base_name: "claude-3-5-sonnet-v2"
deployment_name: "us.anthropic.claude-3-5-sonnet-20241022-v2:0"
label: "Bedrock Claude 3.5 Sonnet v2 20241022"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 8192
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003

- base_name: "claude-3-7"
deployment_name: "us.anthropic.claude-3-7-sonnet-20250219-v1:0"
label: "Bedrock Claude 3.7 Sonnet v1"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 8192
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003

- base_name: "claude-4-sonnet"
deployment_name: "us.anthropic.claude-sonnet-4-20250514-v1:0"
label: "Bedrock Claude 4 Sonnet"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 32000
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003

- base_name: "claude-4-sonnet-1m"
deployment_name: "us.anthropic.claude-sonnet-4-20250514-v1:0"
label: "Bedrock Claude 4 Sonnet Long Context"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 32000
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003
configuration:
client_headers:
anthropic_beta:
- context-1m-2025-08-07

- base_name: "claude-4-5-haiku"
deployment_name: "us.anthropic.claude-haiku-4-5-20251001-v1:0"
label: "Bedrock Claude 4.5 Haiku"
Expand Down Expand Up @@ -131,30 +68,6 @@ llm_models:
output: 0.00000097
cache_read_input_token_cost: 0.00000024

- base_name: "claude-4-opus"
deployment_name: "us.anthropic.claude-opus-4-20250514-v1:0"
label: "Bedrock Claude 4 Opus"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 32000
cost:
input: 0.000015
output: 0.000075
cache_read_input_token_cost: 0.0000015

- base_name: "claude-4-1-opus"
deployment_name: "us.anthropic.claude-opus-4-1-20250805-v1:0"
label: "Bedrock Claude 4.1 Opus v1"
multimodal: true
enabled: true
provider: "aws_bedrock"
max_output_tokens: 32000
cost:
input: 0.000015
output: 0.000075
cache_read_input_token_cost: 0.0000015

- base_name: "claude-opus-4-5-20251101"
deployment_name: "us.anthropic.claude-opus-4-5-20251101-v1:0"
label: "Bedrock Claude Opus 4.5"
Expand Down Expand Up @@ -190,43 +103,6 @@ embeddings_models:
# https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/model-retirements
llm_models:

- base_name: "gpt-4o-2024-08-06"
deployment_name: "gpt-4o-2024-08-06"
label: "GPT-4o 2024-08-06"
multimodal: true
enabled: true
provider: "azure_openai"
max_output_tokens: 16383
cost:
input: 0.0000025
output: 0.00001
cache_read_input_token_cost: 0.00000125

- base_name: "gpt-4o-2024-11-20"
deployment_name: "gpt-4o-2024-11-20"
label: "GPT-4o 2024-11-20"
multimodal: true
default_for_categories: [global]
enabled: true
provider: "azure_openai"
max_output_tokens: 16383
cost:
input: 0.0000025
output: 0.00001
cache_read_input_token_cost: 0.00000125

- base_name: "gpt-4o-mini"
deployment_name: "gpt-4o-mini-2024-07-18"
label: "GPT-4o-mini-2024-07-18"
multimodal: true
enabled: true
provider: "azure_openai"
max_output_tokens: 16383
cost:
input: 0.000000165
output: 0.00000066
cache_read_input_token_cost: 0.000000075

- base_name: "gpt-4.1"
deployment_name: "gpt-4.1-2025-04-14"
label: "GPT-4.1 2025-04-14"
Expand Down Expand Up @@ -416,68 +292,6 @@ embeddings_models:
# Configuration file for managing multiple LLM and embedding models
llm_models:
# Ref. https://cloud.google.com/vertex-ai/generative-ai/pricing#token-based-pricing
- base_name: "gemini-2.0-flash"
deployment_name: "gemini-2.0-flash-001"
label: "Gemini 2.0 Flash"
multimodal: true
enabled: true
provider: "google_vertexai"
max_output_tokens: 8192
cost:
input: 0.00000015
output: 0.0000006
cache_read_input_token_cost: 0.0000000375

- base_name: "gemini-2.5-flash"
deployment_name: "gemini-2.5-flash"
label: "Gemini 2.5 Flash"
multimodal: true
enabled: true
provider: "google_vertexai"
max_output_tokens: 65535
cost:
input: 0.00000030
output: 0.0000025
cache_read_input_token_cost: 0.000000075

- base_name: "gemini-2.5-pro"
deployment_name: "gemini-2.5-pro"
label: "Gemini 2.5 Pro"
multimodal: true
enabled: true
default_for_categories: [global]
provider: "google_vertexai"
max_output_tokens: 65535
cost:
input: 0.00000125
output: 0.00001
cache_read_input_token_cost: 0.000000313

- base_name: "claude-sonnet-v2-vertex"
deployment_name: "claude-3-5-sonnet-v2"
label: "VertexAI Claude Sonnet 3.5 v2"
multimodal: false
enabled: true
default: false
provider: "google_vertexai"
max_output_tokens: 8192
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003

- base_name: "claude-sonnet-3-7-vertex"
deployment_name: "claude-3-7-sonnet"
label: "VertexAI Claude Sonnet 3.7"
multimodal: false
enabled: true
default: false
provider: "google_vertexai"
max_output_tokens: 8192
cost:
input: 0.000003
output: 0.000015
cache_read_input_token_cost: 0.0000003

embeddings_models:

Expand All @@ -502,35 +316,35 @@ Create a custom model configuration YAML file with your LLM and embedding models

```yaml
llm_models:
- base_name: "gpt-4o-2024-11-20"
deployment_name: "gpt-4o-2024-11-20"
label: "GPT-4o (Nov 2024)"
- base_name: "gpt-4.1"
deployment_name: "gpt-4.1-2025-04-14"
label: "GPT-4.1 2025-04-14"
multimodal: true
enabled: true
provider: "azure_openai"
default_for_categories: [global]
max_output_tokens: 16383
max_output_tokens: 32768
cost:
input: 0.0000025
output: 0.00001
cache_read_input_token_cost: 0.00000125
input: 0.000002
output: 0.000008
cache_read_input_token_cost: 0.0000005

- base_name: "gpt-4o-mini"
deployment_name: "gpt-4o-mini-2024-07-18"
label: "GPT-4o Mini (Jul 2024)"
- base_name: "gpt-4.1-mini"
deployment_name: "gpt-4.1-mini-2025-04-14"
label: "GPT-4.1 mini 2025-04-14"
multimodal: true
enabled: true
provider: "azure_openai"
max_output_tokens: 16383
max_output_tokens: 32768
cost:
input: 0.000000165
output: 0.00000066
cache_read_input_token_cost: 0.000000075
input: 0.0000004
output: 0.0000016
cache_read_input_token_cost: 0.0000001

- base_name: "claude-4-sonnet"
deployment_name: "anthropic.claude-4-sonnet-v1"
label: "Claude 4 Sonnet"
multimodal: false
- base_name: "claude-4-5-sonnet"
deployment_name: "us.anthropic.claude-sonnet-4-5-20250929-v1:0"
label: "Claude 4.5 Sonnet"
multimodal: true
enabled: true
provider: "aws_bedrock"
cost:
Expand Down Expand Up @@ -582,7 +396,7 @@ extraObjects:
llm-production-config.yaml: |
# Paste your model configuration here
llm_models:
- base_name: "gpt-4o-2024-11-20"
- base_name: "gpt-4.1"
# ... (model config from Step 1)
```

Expand Down
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