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chore(databricks): add claude-fable-5-2, date glm-5-2 retirement and fix llama-3-1-8b context from the supported-models page (#51076)
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
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665f56d64a
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2 changed files with 112 additions and 6 deletions
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@ -21878,7 +21878,7 @@
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"thinking_always_on": true
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},
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"databricks/claude-fable-latest": {
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"alias_of": "databricks/databricks-claude-fable-5-1"
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"alias_of": "databricks/databricks-claude-fable-5-2"
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},
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"databricks/databricks-claude-haiku-4-5": {
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"cache_creation_input_token_cost": 1.24999e-06,
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@ -22804,7 +22804,10 @@
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"input_cost_per_token_priority": 2.45e-06,
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"output_cost_per_token_priority": 7.7e-06,
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"cache_read_input_token_cost_priority": 4.55e-07,
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"cache_creation_input_token_cost_priority": 2.45e-06
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"cache_creation_input_token_cost_priority": 2.45e-06,
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"deprecation_date": "2027-02-04",
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"deprecation_source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"successor_model": "databricks/databricks-glm-5-3"
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},
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"databricks/databricks-glm-5-3": {
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"cache_creation_input_token_cost": 1.4e-06,
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@ -23471,7 +23474,7 @@
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"input_cost_per_token": 1.5001e-07,
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"input_dbu_cost_per_token": 2.1429999999999996e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 200000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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@ -99977,5 +99980,55 @@
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"supported_output_modalities": [
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"video"
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]
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},
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"databricks/databricks-claude-fable-5-2": {
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"cache_creation_input_token_cost": 8e-06,
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"cache_read_input_token_cost": 8e-06,
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"input_cost_per_token": 8e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"metadata": {"notes":"Claude Fable 5.2 on Databricks is available only through Unity Gateway with the model service name system.ai.claude-fable-5-2, and Databricks hosts it through Amazon Bedrock. The Databricks pricing page lists no row for it yet, so input and output are inherited from the catalog Bedrock row anthropic.claude-fable-5-2, no '*_dbu_cost_per_token' fields are published, and cache tokens bill at the input rate until Databricks publishes cache DBU rates."},
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"mode": "chat",
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"output_cost_per_token": 4e-05,
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"prompt_cache_min_tokens": 512.0,
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"source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"supports_adaptive_thinking": true,
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"supports_anthropic_thinking_payload": true,
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"supports_assistant_prefill": false,
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"supports_forced_tool_use": false,
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"supports_function_calling": true,
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"supports_mid_conversation_system": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_sampling_params": false,
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"supports_tool_choice": true,
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"supports_vision": true,
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"thinking_always_on": true
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},
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"databricks/system.ai.claude-fable-5-2": {
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"cache_creation_input_token_cost": 8e-06,
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"cache_read_input_token_cost": 8e-06,
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"input_cost_per_token": 8e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"metadata": {"notes":"Claude Fable 5.2 on Databricks is available only through Unity Gateway with the model service name system.ai.claude-fable-5-2, and Databricks hosts it through Amazon Bedrock. The Databricks pricing page lists no row for it yet, so input and output are inherited from the catalog Bedrock row anthropic.claude-fable-5-2, no '*_dbu_cost_per_token' fields are published, and cache tokens bill at the input rate until Databricks publishes cache DBU rates."},
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"mode": "chat",
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"output_cost_per_token": 4e-05,
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"prompt_cache_min_tokens": 512.0,
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"source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"supports_adaptive_thinking": true,
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"supports_anthropic_thinking_payload": true,
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"supports_assistant_prefill": false,
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"supports_forced_tool_use": false,
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"supports_function_calling": true,
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"supports_mid_conversation_system": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_sampling_params": false,
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"supports_tool_choice": true,
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"supports_vision": true,
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"thinking_always_on": true
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}
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}
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@ -21878,7 +21878,7 @@
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"thinking_always_on": true
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},
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"databricks/claude-fable-latest": {
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"alias_of": "databricks/databricks-claude-fable-5-1"
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"alias_of": "databricks/databricks-claude-fable-5-2"
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},
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"databricks/databricks-claude-haiku-4-5": {
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"cache_creation_input_token_cost": 1.24999e-06,
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@ -22804,7 +22804,10 @@
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"input_cost_per_token_priority": 2.45e-06,
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"output_cost_per_token_priority": 7.7e-06,
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"cache_read_input_token_cost_priority": 4.55e-07,
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"cache_creation_input_token_cost_priority": 2.45e-06
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"cache_creation_input_token_cost_priority": 2.45e-06,
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"deprecation_date": "2027-02-04",
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"deprecation_source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"successor_model": "databricks/databricks-glm-5-3"
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},
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"databricks/databricks-glm-5-3": {
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"cache_creation_input_token_cost": 1.4e-06,
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@ -23471,7 +23474,7 @@
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"input_cost_per_token": 1.5001e-07,
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"input_dbu_cost_per_token": 2.1429999999999996e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 200000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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@ -99977,5 +99980,55 @@
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"supported_output_modalities": [
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"video"
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]
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},
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"databricks/databricks-claude-fable-5-2": {
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"cache_creation_input_token_cost": 8e-06,
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"cache_read_input_token_cost": 8e-06,
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"input_cost_per_token": 8e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"metadata": {"notes":"Claude Fable 5.2 on Databricks is available only through Unity Gateway with the model service name system.ai.claude-fable-5-2, and Databricks hosts it through Amazon Bedrock. The Databricks pricing page lists no row for it yet, so input and output are inherited from the catalog Bedrock row anthropic.claude-fable-5-2, no '*_dbu_cost_per_token' fields are published, and cache tokens bill at the input rate until Databricks publishes cache DBU rates."},
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"mode": "chat",
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"output_cost_per_token": 4e-05,
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"prompt_cache_min_tokens": 512.0,
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"source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"supports_adaptive_thinking": true,
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"supports_anthropic_thinking_payload": true,
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"supports_assistant_prefill": false,
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"supports_forced_tool_use": false,
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"supports_function_calling": true,
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"supports_mid_conversation_system": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_sampling_params": false,
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"supports_tool_choice": true,
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"supports_vision": true,
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"thinking_always_on": true
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},
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"databricks/system.ai.claude-fable-5-2": {
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"cache_creation_input_token_cost": 8e-06,
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"cache_read_input_token_cost": 8e-06,
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"input_cost_per_token": 8e-06,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"metadata": {"notes":"Claude Fable 5.2 on Databricks is available only through Unity Gateway with the model service name system.ai.claude-fable-5-2, and Databricks hosts it through Amazon Bedrock. The Databricks pricing page lists no row for it yet, so input and output are inherited from the catalog Bedrock row anthropic.claude-fable-5-2, no '*_dbu_cost_per_token' fields are published, and cache tokens bill at the input rate until Databricks publishes cache DBU rates."},
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"mode": "chat",
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"output_cost_per_token": 4e-05,
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"prompt_cache_min_tokens": 512.0,
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"source": "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
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"supports_adaptive_thinking": true,
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"supports_anthropic_thinking_payload": true,
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"supports_assistant_prefill": false,
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"supports_forced_tool_use": false,
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"supports_function_calling": true,
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"supports_mid_conversation_system": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_sampling_params": false,
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"supports_tool_choice": true,
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"supports_vision": true,
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"thinking_always_on": true
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}
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}
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