Add 5 AI providers using openai_like (#18362)
* Add 5 AI providers using `openai_like`: * Synthetic.new * Apertis / Stima.tech * NanoGPT * Poe * Chutes.ai * Update additional missing locations
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@ -556,6 +556,11 @@ openai_compatible_endpoints: List = [
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"https://dashscope-intl.aliyuncs.com/compatible-mode/v1",
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"https://api.moonshot.ai/v1",
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"https://api.publicai.co/v1",
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"https://api.synthetic.new/openai/v1",
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"https://api.stima.tech/v1",
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"https://nano-gpt.com/api/v1",
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"https://api.poe.com/v1",
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"https://llm.chutes.ai/v1/",
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"https://api.v0.dev/v1",
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"https://api.morphllm.com/v1",
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"https://api.lambda.ai/v1",
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@ -599,12 +604,16 @@ openai_compatible_providers: List = [
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"novita",
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"meta_llama",
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"publicai", # PublicAI - JSON-configured provider
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"synthetic", # Synthetic - JSON-configured provider
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"apertis", # Apertis - JSON-configured provider
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"nano-gpt", # Nano-GPT - JSON-configured provider
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"poe", # Poe - JSON-configured provider
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"chutes", # Chutes - JSON-configured provider
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"featherless_ai",
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"nscale",
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"nebius",
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"dashscope",
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"moonshot",
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"publicai",
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"v0",
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"helicone",
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"morph",
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@ -630,6 +639,11 @@ openai_text_completion_compatible_providers: List = (
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"dashscope",
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"moonshot",
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"publicai",
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"synthetic",
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"apertis",
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"nano-gpt",
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"poe",
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"chutes",
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"v0",
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"lambda_ai",
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"hyperbolic",
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@ -270,6 +270,21 @@ def get_llm_provider( # noqa: PLR0915
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elif endpoint == "platform.publicai.co/v1":
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custom_llm_provider = "publicai"
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dynamic_api_key = get_secret_str("PUBLICAI_API_KEY")
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elif endpoint == "https://api.synthetic.new/openai/v1":
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custom_llm_provider = "synthetic"
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dynamic_api_key = get_secret_str("SYNTHETIC_API_KEY")
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elif endpoint == "https://api.stima.tech/v1":
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custom_llm_provider = "apertis"
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dynamic_api_key = get_secret_str("STIMA_API_KEY")
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elif endpoint == "https://nano-gpt.com/api/v1":
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custom_llm_provider = "nano-gpt"
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dynamic_api_key = get_secret_str("NANOGPT_API_KEY")
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elif endpoint == "https://api.poe.com/v1":
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custom_llm_provider = "poe"
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dynamic_api_key = get_secret_str("POE_API_KEY")
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elif endpoint == "https://llm.chutes.ai/v1/":
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custom_llm_provider = "chutes"
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dynamic_api_key = get_secret_str("CHUTES_API_KEY")
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elif endpoint == "https://api.v0.dev/v1":
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custom_llm_provider = "v0"
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dynamic_api_key = get_secret_str("V0_API_KEY")
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@ -25,5 +25,40 @@
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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},
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"synthetic": {
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"base_url": "https://api.synthetic.new/openai/v1",
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"api_key_env": "SYNTHETIC_API_KEY",
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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},
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"apertis": {
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"base_url": "https://api.stima.tech/v1",
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"api_key_env": "STIMA_API_KEY",
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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},
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"nano-gpt": {
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"base_url": "https://nano-gpt.com/api/v1",
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"api_key_env": "NANOGPT_API_KEY",
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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},
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"poe": {
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"base_url": "https://api.poe.com/v1",
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"api_key_env": "POE_API_KEY",
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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},
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"chutes": {
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"base_url": "https://llm.chutes.ai/v1/",
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"api_key_env": "CHUTES_API_KEY",
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"param_mappings": {
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"max_completion_tokens": "max_tokens"
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}
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}
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}
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}
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@ -3014,6 +3014,12 @@ class LlmProviders(str, Enum):
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AMAZON_NOVA = "amazon_nova"
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A2A_AGENT = "a2a_agent"
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LANGGRAPH = "langgraph"
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SYNTHETIC = "synthetic"
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APERTIS = "apertis"
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NANOGPT = "nano-gpt"
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POE = "poe"
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CHUTES = "chutes"
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# Create a set of all provider values for quick lookup
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@ -137,6 +137,22 @@
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"a2a": true
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}
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},
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"apertis": {
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"display_name": "Apertis (`apertis`)",
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"endpoints": {
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"chat_completions": true,
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"messages": false,
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"responses": false,
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"embeddings": true,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false
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}
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},
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"assemblyai": {
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"display_name": "AssemblyAI (`assemblyai`)",
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"url": "https://docs.litellm.ai/docs/pass_through/assembly_ai",
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@ -358,6 +374,22 @@
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"a2a": true
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}
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},
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"chutes": {
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"display_name": "Chutes (`chutes`)",
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"endpoints": {
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"chat_completions": true,
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"messages": false,
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"responses": false,
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"embeddings": true,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false
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}
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},
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"clarifai": {
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"display_name": "Clarifai (`clarifai`)",
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"url": "https://docs.litellm.ai/docs/providers/clarifai",
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@ -1226,6 +1258,22 @@
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"a2a": true
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}
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},
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"nanogpt": {
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"display_name": "NanoGPT (`nanogpt`)",
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"endpoints": {
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"chat_completions": true,
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"messages": false,
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"responses": false,
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"embeddings": true,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false
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}
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},
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"nebius": {
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"display_name": "Nebius AI Studio (`nebius`)",
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"url": "https://docs.litellm.ai/docs/providers/nebius",
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@ -1507,6 +1555,22 @@
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"a2a": true
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}
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},
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"poe": {
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"display_name": "Poe (`poe`)",
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"endpoints": {
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"chat_completions": true,
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"messages": false,
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"responses": false,
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"embeddings": true,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false
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}
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},
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"publicai": {
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"display_name": "PublicAI (`publicai`)",
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"url": "https://docs.litellm.ai/docs/providers/publicai",
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@ -1676,6 +1740,22 @@
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"a2a": true
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}
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},
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"synthetic": {
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"display_name": "Synthetic (`synthetic`)",
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"endpoints": {
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"chat_completions": true,
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"messages": true,
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"responses": true,
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"embeddings": true,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false
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}
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},
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"text-completion-codestral": {
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"display_name": "Text Completion Codestral (`text-completion-codestral`)",
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"url": "https://docs.litellm.ai/docs/providers/codestral",
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@ -2068,4 +2148,4 @@
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}
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}
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}
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}
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}
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