chore: recordings for fireworks (inference + openai) (#3573)

# What does this PR do?

recorded for: ./scripts/integration-tests.sh --stack-config
server:ci-tests --suite base --setup fireworks --subdirs inference
--pattern openai

## Test Plan

./scripts/integration-tests.sh --stack-config server:ci-tests --suite
base --setup fireworks --subdirs inference --pattern openai

Author: mattf

llama_stack/providers/remote/inference/fireworks/fireworks.py

@@ -61,6 +61,7 @@
 class FireworksInferenceAdapter(OpenAIMixin, ModelRegistryHelper, Inference, NeedsRequestProviderData):
     embedding_model_metadata = {
         "nomic-ai/nomic-embed-text-v1.5": {"embedding_dimension": 768, "context_length": 8192},
+        "accounts/fireworks/models/qwen3-embedding-8b": {"embedding_dimension": 4096, "context_length": 40960},
     }
 
     def __init__(self, config: FireworksImplConfig) -> None:

tests/integration/recordings/responses/1c0a34fa2e0c.json

@@ -0,0 +1,31 @@
+{
+  "request": {
+    "method": "POST",
+    "url": "https://api.fireworks.ai/inference/v1/v1/embeddings",
+    "headers": {},
+    "body": {
+      "model": "accounts/fireworks/models/qwen3-embedding-8b",
+      "input": [],
+      "encoding_format": "float"
+    },
+    "endpoint": "/v1/embeddings",
+    "model": "accounts/fireworks/models/qwen3-embedding-8b"
+  },
+  "response": {
+    "body": {
+      "__type__": "openai.types.create_embedding_response.CreateEmbeddingResponse",
+      "__data__": {
+        "data": [],
+        "model": "accounts/fireworks/models/qwen3-embedding-8b",
+        "object": "list",
+        "usage": {
+          "prompt_tokens": 0,
+          "total_tokens": 0,
+          "completion_tokens": 0
+        },
+        "perf_metrics": null
+      }
+    },
+    "is_streaming": false
+  }
+}