tests: Enable perplexity integration tests.

.github/workflows/tests-integration.yaml

@@ -23,7 +23,7 @@ jobs:
     steps:
       - name: Set expected providers for integration tests
         id: set_providers
-        run: echo "expected_providers=anthropic,bedrock,fireworks,gemini,huggingface,llama,mistral,nebius,openai,voyage,watsonx,xai,openrouter,cerebras" >> $GITHUB_OUTPUT
+        run: echo "expected_providers=anthropic,bedrock,cerebras,fireworks,gemini,huggingface,llama,mistral,nebius,openai,openrouter,perplexity,voyage,watsonx,xai" >> $GITHUB_OUTPUT
 
       - name: Set expected providers for local integration tests
         id: set_local_providers
@@ -69,6 +69,7 @@ jobs:
           XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
           OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
           CEREBRAS_API_KEY: ${{ secrets.CEREBRAS_API_KEY }}
+          PERPLEXITY_API_KEY: ${{ secrets.PERPLEXITY_API_KEY }}
           EXPECTED_PROVIDERS: ${{ needs.expected-providers.outputs.providers }}
           INCLUDE_LOCAL_PROVIDERS: "false"
         run: |

src/any_llm/providers/openai/base.py

@@ -68,6 +68,9 @@ def _convert_completion_chunk_response(response: Any, **kwargs: Any) -> ChatComp
                 )
                 response.created = int(response.created)
             normalized_chunk = _normalize_openai_dict_response(response.model_dump())
+            # Some APIs (i.e. Perplexity) return `chat.completion` without the chunk
+            # We can hardcode it as openai expects a literal
+            normalized_chunk["object"] = "chat.completion.chunk"
             return ChatCompletionChunk.model_validate(normalized_chunk)
         # If it's already our ChatCompletionChunk type, return it
         if isinstance(response, ChatCompletionChunk):

src/any_llm/providers/perplexity/perplexity.py

@@ -15,4 +15,6 @@ class PerplexityProvider(BaseOpenAIProvider):
     SUPPORTS_COMPLETION = True
     SUPPORTS_RESPONSES = False
     SUPPORTS_COMPLETION_REASONING = False
+    SUPPORTS_COMPLETION_PDF = False
     SUPPORTS_EMBEDDING = False
+    SUPPORTS_LIST_MODELS = False

tests/conftest.py

@@ -59,7 +59,7 @@ def provider_model_map() -> dict[LLMProvider, str]:
         LLMProvider.LLAMA: "Llama-4-Maverick-17B-128E-Instruct-FP8",
         LLMProvider.AZURE: "openai/gpt-4.1-nano",
         LLMProvider.AZUREOPENAI: "azure/<your_deployment_name>",
-        LLMProvider.PERPLEXITY: "llama-3.1-sonar-small-128k-chat",
+        LLMProvider.PERPLEXITY: "sonar",
         LLMProvider.OPENROUTER: "meta-llama/llama-3.3-8b-instruct:free",
         LLMProvider.LLAMACPP: "N/A",
     }

tests/integration/test_tool.py

@@ -20,8 +20,8 @@ async def test_tool(
     provider_client_config: dict[LLMProvider, dict[str, Any]],
 ) -> None:
     """Test that all supported providers can be loaded successfully."""
-    if provider == LLMProvider.LLAMAFILE:
-        pytest.skip("Llamafile does not support tools, skipping")
+    if provider in (LLMProvider.LLAMAFILE, LLMProvider.PERPLEXITY):
+        pytest.skip(f"{provider} does not support tools, skipping")
 
     def echo(message: str) -> str:
         """Tool function to get the capital of a city."""