test(edenai): add live e2e tests in tests/e2e/

Moved from the unit suite. Fix Anthropic-messages usage assertion: the Anthropic response shape exposes input_tokens/output_tokens, not total_tokens.

tests/e2e/test_edenai_e2e.py

@@ -0,0 +1,80 @@
+"""End-to-end (live) tests for the Eden AI provider.
+
+These hit the real Eden AI API and are skipped automatically when
+EDENAI_API_KEY is not set, so CI without the secret stays green.
+Moved here from tests/test_litellm/llms/openai_like/test_edenai.py per
+review feedback: live tests belong in tests/e2e/, not the unit suite.
+"""
+
+import os
+
+import pytest
+
+import litellm
+
+
+class TestEdenAILiveIntegration:
+    """Live integration tests against the real Eden AI API.
+
+    Skipped automatically when EDENAI_API_KEY is not set, so CI without the
+    secret stays green. When the key is present (local dev, or a dedicated
+    integration runner) these validate that each endpoint flagged `true` in
+    provider_endpoints_support.json actually routes a request through to
+    api.edenai.run/v3 end-to-end. Endpoints flagged `false` (`/responses`,
+    `/embeddings`, `/image/generations`, `/audio/*`, `/moderations`,
+    `/batches`, `/rerank`) intentionally have no live test here; their
+    handlers ship in follow-up PRs and the tests come with them.
+    """
+
+    @pytest.mark.skipif(
+        not os.environ.get("EDENAI_API_KEY"), reason="EDENAI_API_KEY not set"
+    )
+    def test_edenai_live_chat_completions(self):
+        """`/v1/chat/completions` via litellm.completion() — the openai_like
+        loader's primary surface."""
+        response = litellm.completion(
+            model="edenai/openai/gpt-4o-mini",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "Reply with 'PING' and nothing else.",
+                }
+            ],
+            max_tokens=8,
+        )
+
+        assert response is not None
+        assert response.choices[0].message.content
+        assert response.usage is not None
+        assert response.usage.total_tokens > 0
+
+    @pytest.mark.skipif(
+        not os.environ.get("EDENAI_API_KEY"), reason="EDENAI_API_KEY not set"
+    )
+    @pytest.mark.asyncio
+    async def test_edenai_live_anthropic_messages(self):
+        """`/v1/messages` (Anthropic-format) via litellm.anthropic_messages().
+        LiteLLM translates the Anthropic-shape request to OpenAI shape
+        internally and routes through Eden AI's openai-compatible endpoint;
+        the response is translated back to Anthropic shape before being
+        returned to the caller."""
+        response = await litellm.anthropic_messages(
+            model="edenai/anthropic/claude-opus-4-6",
+            messages=[
+                {
+                    "role": "user",
+                    "content": "Reply with 'MSG' and nothing else.",
+                }
+            ],
+            max_tokens=8,
+        )
+
+        assert response is not None
+        # anthropic_messages returns a dict (Anthropic-shape response)
+        assert response.get("type") == "message"
+        assert response.get("role") == "assistant"
+        content = response.get("content", [])
+        assert content and content[0].get("type") == "text"
+        assert content[0].get("text")
+        usage = response.get("usage", {})
+        assert usage.get("input_tokens", 0) > 0