Add deepinfra as LLM provider.

.gitignore

@@ -171,6 +171,9 @@ examples/mcp_root_test/test_data/*.png
 #.idea/
 uv.lock
 
+# MacOS
+.DS_Store
+
 # File generated from promptify script (to create an LLM-friendly prompt for the repo)
 project_contents.md
 

examples/deepinfra/example.py

@@ -0,0 +1,21 @@
+from dotenv import load_dotenv, find_dotenv
+from mcp_agent.core.fastagent import FastAgent
+from mcp_agent.core.prompt import Prompt
+
+_ = load_dotenv(find_dotenv())
+
+fast = FastAgent("deepinfra example")
+
+
+# Define the agent
+@fast.agent(instruction="You are a helpful AI Agent", servers=["filesystem", "fetch"])
+async def main():
+    # use the --model command line switch or agent arguments to change model
+    async with fast.run() as agent:
+        await agent.default.generate(
+            [
+                Prompt.user(
+                    "Write a beautiful poem about the ocean",
+                )
+            ]
+        )

examples/deepinfra/fastagent.config.yaml

@@ -0,0 +1,43 @@
+# FastAgent Configuration File
+
+# DeepInfra Model Configuration:
+# 
+# Takes format:
+#   deepinfra.<model_string> (e.g. deepinfra.Qwen/Qwen3-30B-A3B or deepinfra.meta-llama/Llama-4-Scout-17B-16E-Instruct)
+# Accepts all models from https://deepinfra.com/models
+
+default_model: deepinfra.Qwen/Qwen3-14B
+
+# Logging and Console Configuration:
+logger:
+    # level: "debug" | "info" | "warning" | "error"
+    # type: "none" | "console" | "file" | "http"
+    # path: "/path/to/logfile.jsonl"
+
+
+    # Switch the progress display on or off
+    progress_display: true
+
+    # Show chat User/Assistant messages on the console
+    show_chat: true
+    # Show tool calls on the console
+    show_tools: true
+    # Truncate long tool responses on the console 
+    truncate_tools: true
+
+# MCP Servers
+mcp:
+    servers:
+        fetch:
+            command: "uvx"
+            args: ["mcp-server-fetch"]
+        filesystem:
+            command: "npx"
+            args: ["-y", "@modelcontextprotocol/server-filesystem", "."]
+        webcam: 
+            command: "npx"
+            args: ["-y","@llmindset/mcp-webcam"]
+        hfspace:
+            command: "npx"
+            args: ["-y","@llmindset/mcp-hfspace"]
+

src/mcp_agent/llm/model_factory.py

@@ -11,14 +11,14 @@
 from mcp_agent.llm.provider_types import Provider
 from mcp_agent.llm.providers.augmented_llm_anthropic import AnthropicAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_azure import AzureOpenAIAugmentedLLM
+from mcp_agent.llm.providers.augmented_llm_deepinfra import DeepInfraAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_deepseek import DeepSeekAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_generic import GenericAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_google import GoogleAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_openai import OpenAIAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_openrouter import OpenRouterAugmentedLLM
 from mcp_agent.llm.providers.augmented_llm_tensorzero import TensorZeroAugmentedLLM
 from mcp_agent.mcp.interfaces import AugmentedLLMProtocol
-
 # from mcp_agent.workflows.llm.augmented_llm_deepseek import DeekSeekAugmentedLLM
 
 
@@ -29,6 +29,7 @@
     Type[PassthroughLLM],
     Type[PlaybackLLM],
     Type[DeepSeekAugmentedLLM],
+    Type[DeepInfraAugmentedLLM],
     Type[OpenRouterAugmentedLLM],
     Type[TensorZeroAugmentedLLM],
 ]
@@ -115,6 +116,7 @@ class ModelFactory:
         Provider.OPENROUTER: OpenRouterAugmentedLLM,
         Provider.TENSORZERO: TensorZeroAugmentedLLM,
         Provider.AZURE: AzureOpenAIAugmentedLLM,
+        Provider.DEEPINFRA: DeepInfraAugmentedLLM,
     }
 
     # Mapping of special model names to their specific LLM classes

src/mcp_agent/llm/provider_types.py

@@ -17,3 +17,4 @@ class Provider(Enum):
     OPENROUTER = "openrouter"
     TENSORZERO = "tensorzero"  # For TensorZero Gateway
     AZURE = "azure"  # Azure OpenAI Service
+    DEEPINFRA = "deepinfra"  # DeepInfra

src/mcp_agent/llm/providers/augmented_llm_deepinfra.py

@@ -0,0 +1,34 @@
+from mcp_agent.llm.provider_types import Provider
+from mcp_agent.llm.providers.augmented_llm_openai import OpenAIAugmentedLLM
+from mcp_agent.llm.augmented_llm import RequestParams
+
+
+DEFAULT_DEEP_INFRA_MODEL = "deepseek-ai/DeepSeek-V3-0324"
+
+class DeepInfraAugmentedLLM(OpenAIAugmentedLLM):
+
+    def __init__(self, provider: Provider = Provider.DEEPINFRA, *args, **kwargs) -> None:
+        super().__init__(provider, *args, **kwargs)
+
+
+    def _initialize_default_params(self, kwargs: dict) -> RequestParams:
+        """Initialize OpenAI-specific default parameters"""
+        chosen_model = kwargs.get("model", DEFAULT_DEEP_INFRA_MODEL)
+
+        return RequestParams(
+            model=chosen_model,
+            systemPrompt=self.instruction,
+            parallel_tool_calls=True,
+            max_iterations=10,
+            use_history=True,
+        )
+
+    def _base_url(self) -> str:
+        return "https://api.deepinfra.com/v1/openai"
+
+
+    def _api_key(self):
+        from mcp_agent.llm.provider_key_manager import ProviderKeyManager
+
+        assert self.provider
+        return ProviderKeyManager.get_api_key(self.provider.value, self.context.config)