feat: add T-Systems LLMHub as a provider

providers/t-systems/models/claude-3-7-sonnet.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "anthropic/claude-3-7-sonnet-20250219"
+omit = ["cost.cache_read", "cost.cache_write"]
+
+[cost]
+input = 3.31
+output = 16.55

providers/t-systems/models/claude-sonnet-4.5.toml

@@ -0,0 +1,9 @@
+name = "Claude Sonnet 4.5"
+
+[extends]
+from = "anthropic/claude-sonnet-4-5"
+omit = ["cost.cache_read", "cost.cache_write"]
+
+[cost]
+input = 7.28
+output = 27.38

providers/t-systems/models/claude-sonnet-4.toml

@@ -0,0 +1,9 @@
+name = "Claude Sonnet 4"
+
+[extends]
+from = "anthropic/claude-sonnet-4-0"
+omit = ["cost.cache_read", "cost.cache_write"]
+
+[cost]
+input = 3.31
+output = 16.55

providers/t-systems/models/gemini-2.5-flash.toml

@@ -0,0 +1,10 @@
+release_date = "2025-06-17"
+last_updated = "2025-06-17"
+
+[extends]
+from = "google/gemini-2.5-flash"
+omit = ["cost.cache_read", "cost.input_audio", "structured_output"]
+
+[cost]
+input = 1.38
+output = 11.03

providers/t-systems/models/gemini-2.5-pro.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "google/gemini-2.5-pro"
+omit = ["cost.cache_read", "cost.context_over_200k", "structured_output"]
+
+[cost]
+input = 2.76
+output = 16.55

providers/t-systems/models/gemini-3-pro.toml

@@ -0,0 +1,13 @@
+name = "Gemini 3 Pro"
+
+[extends]
+from = "google/gemini-3-pro-preview"
+omit = ["cost.cache_read", "cost.context_over_200k"]
+
+[cost]
+input = 4.41
+output = 19.86
+
+[limit]
+context = 1_048_576
+output = 65_536

providers/t-systems/models/gpt-4.1-mini.toml

@@ -0,0 +1,13 @@
+name = "GPT-4.1 Mini"
+
+[extends]
+from = "openai/gpt-4.1-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 0.44
+output = 1.73
+
+[modalities]
+input = ["text", "image"]
+output = ["text"]

providers/t-systems/models/gpt-4.1-nano.toml

@@ -0,0 +1,9 @@
+name = "GPT-4.1 Nano"
+
+[extends]
+from = "openai/gpt-4.1-nano"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 0.11
+output = 0.43

providers/t-systems/models/gpt-4.1.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/gpt-4.1"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 2.17
+output = 8.66

providers/t-systems/models/gpt-4o-mini.toml

@@ -0,0 +1,9 @@
+name = "GPT-4o Mini"
+
+[extends]
+from = "openai/gpt-4o-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 0.19
+output = 0.78

providers/t-systems/models/gpt-4o.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/gpt-4o"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 3.25
+output = 12.99

providers/t-systems/models/gpt-5-codex.toml

@@ -0,0 +1,9 @@
+name = "GPT-5 Codex"
+
+[extends]
+from = "openai/gpt-5-codex"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 1.35
+output = 10.70

providers/t-systems/models/gpt-5-mini.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/gpt-5-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 0.30
+output = 2.44

providers/t-systems/models/gpt-5-nano.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/gpt-5-nano"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 0.06
+output = 0.49

providers/t-systems/models/gpt-5.toml

@@ -0,0 +1,9 @@
+temperature = true
+
+[extends]
+from = "openai/gpt-5"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 1.52
+output = 12.18

providers/t-systems/models/gpt-image-1.toml

@@ -0,0 +1,22 @@
+name = "GPT Image 1"
+family = "gpt-image"
+release_date = "2025-12-16"
+last_updated = "2025-12-16"
+attachment = true
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = false
+
+[cost]
+input = 12.72
+output = 50.85
+
+[limit]
+context = 0
+input = 0
+output = 0
+
+[modalities]
+input = ["text", "image"]
+output = ["text", "image"]

providers/t-systems/models/gpt-oss-120b.toml

@@ -0,0 +1,21 @@
+name = "GPT-OSS 120B"
+family = "gpt-oss"
+release_date = "2025-08-05"
+last_updated = "2025-08-05"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 131_072
+output = 26_215
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/jina-embeddings-v2-base-code.toml

@@ -0,0 +1,21 @@
+name = "Jina Embeddings v2 Base Code"
+family = "text-embedding"
+release_date = "2024-01-01"
+last_updated = "2024-01-01"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+
+[cost]
+input = 0.48
+output = 0.48
+
+[limit]
+context = 8_192
+output = 0
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/jina-embeddings-v2-base-de.toml

@@ -0,0 +1,21 @@
+name = "Jina Embeddings v2 Base DE"
+family = "text-embedding"
+release_date = "2024-01-01"
+last_updated = "2024-01-01"
+attachment = false
+reasoning = false
+temperature = false
+tool_call = false
+open_weights = true
+
+[cost]
+input = 0.48
+output = 0.48
+
+[limit]
+context = 8_192
+output = 0
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/llama-3.3-70b-instruct.toml

@@ -0,0 +1,13 @@
+name = "Llama 3.3 70B Instruct"
+attachment = false
+
+[extends]
+from = "llama/llama-3.3-70b-instruct"
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 131_072
+output = 32_768

providers/t-systems/models/mistral-large-2411.toml

@@ -0,0 +1,6 @@
+[extends]
+from = "mistral/mistral-large-2411"
+
+[cost]
+input = 2.86
+output = 6.62

providers/t-systems/models/mistral-medium-3.toml

@@ -0,0 +1,6 @@
+[extends]
+from = "mistral/mistral-medium-2505"
+
+[cost]
+input = 0.44
+output = 2.21

providers/t-systems/models/mistral-small-24b-instruct-2501.toml

@@ -0,0 +1,21 @@
+name = "Mistral Small 24B"
+family = "mistral-small"
+release_date = "2025-01-01"
+last_updated = "2025-01-01"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 131_072
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/o1-mini.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/o1-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 3.90
+output = 15.58

providers/t-systems/models/o1.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/o1"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 19.48
+output = 77.92

providers/t-systems/models/o3-mini.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/o3-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 1.43
+output = 5.71

providers/t-systems/models/o3.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/o3"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 2.18
+output = 8.71

providers/t-systems/models/o4-mini.toml

@@ -0,0 +1,7 @@
+[extends]
+from = "openai/o4-mini"
+omit = ["cost.cache_read"]
+
+[cost]
+input = 1.19
+output = 4.76

providers/t-systems/models/qwen2.5-coder-32b-instruct-fp8.toml

@@ -0,0 +1,21 @@
+name = "Qwen 2.5 Coder 32B"
+family = "qwen"
+release_date = "2024-11-11"
+last_updated = "2024-11-11"
+attachment = false
+reasoning = false
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 131_072
+output = 32_768
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/qwen3-30b-a3b-fp8.toml

@@ -0,0 +1,21 @@
+name = "Qwen3 30B A3B"
+family = "qwen"
+release_date = "2025-04"
+last_updated = "2025-04"
+attachment = false
+reasoning = true
+temperature = true
+tool_call = true
+open_weights = true
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 40_960
+output = 40_960
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/t-systems/models/qwen3-next-80b-a3b-instruct-fp8.toml

@@ -0,0 +1,15 @@
+name = "Qwen3 Next 80B Instruct"
+release_date = "2025-09-11"
+last_updated = "2025-09-11"
+
+[extends]
+from = "alibaba/qwen3-next-80b-a3b-instruct"
+omit = ["knowledge"]
+
+[cost]
+input = 3.53
+output = 3.53
+
+[limit]
+context = 131_072
+output = 52_429