feat: add (openai, anthropic, gemini) providers via litellm (#1267)

# What does this PR do?

This PR introduces more non-llama model support to llama stack.
Providers introduced: openai, anthropic and gemini. All of these
providers use essentially the same piece of code -- the implementation
works via the `litellm` library.

We will expose only specific models for providers we enable making sure
they all work well and pass tests. This setup (instead of automatically
enabling _all_ providers and models allowed by LiteLLM) ensures we can
also perform any needed prompt tuning on a per-model basis as needed
(just like we do it for llama models.)

## Test Plan

```bash
#!/bin/bash

args=("$@")
for model in openai/gpt-4o anthropic/claude-3-5-sonnet-latest gemini/gemini-1.5-flash; do
    LLAMA_STACK_CONFIG=dev pytest -s -v tests/client-sdk/inference/test_text_inference.py \
        --embedding-model=all-MiniLM-L6-v2 \
        --vision-inference-model="" \
        --inference-model=$model "${args[@]}"
done
```

llama_stack/templates/ci-tests/ci_tests.py

@@ -57,17 +57,6 @@ def get_distribution_template() -> DistributionTemplate:
         config=SentenceTransformersInferenceConfig.sample_run_config(),
     )
 
-    core_model_to_hf_repo = {m.descriptor(): m.huggingface_repo for m in all_registered_models()}
-    default_models = [
-        ModelInput(
-            model_id=core_model_to_hf_repo[m.llama_model] if m.llama_model else m.provider_model_id,
-            provider_model_id=m.provider_model_id,
-            provider_id="fireworks",
-            metadata=m.metadata,
-            model_type=m.model_type,
-        )
-        for m in MODEL_ENTRIES
-    ]
     default_tool_groups = [
         ToolGroupInput(
             toolgroup_id="builtin::websearch",
@@ -82,6 +71,16 @@ def get_distribution_template() -> DistributionTemplate:
             provider_id="code-interpreter",
         ),
     ]
+    core_model_to_hf_repo = {m.descriptor(): m.huggingface_repo for m in all_registered_models()}
+    default_models = [
+        ModelInput(
+            model_id=core_model_to_hf_repo[m.llama_model] if m.llama_model else m.provider_model_id,
+            provider_id="fireworks",
+            model_type=m.model_type,
+            metadata=m.metadata,
+        )
+        for m in MODEL_ENTRIES
+    ]
     embedding_model = ModelInput(
         model_id="all-MiniLM-L6-v2",
         provider_id="sentence-transformers",
@@ -98,7 +97,7 @@ def get_distribution_template() -> DistributionTemplate:
         container_image=None,
         template_path=None,
         providers=providers,
-        default_models=default_models,
+        default_models=default_models + [embedding_model],
         run_configs={
             "run.yaml": RunConfigSettings(
                 provider_overrides={

llama_stack/templates/ci-tests/run.yaml

@@ -93,59 +93,48 @@ models:
 - metadata: {}
   model_id: meta-llama/Llama-3.1-8B-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p1-8b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.1-70B-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p1-70b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.1-405B-Instruct-FP8
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p1-405b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.2-1B-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p2-1b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.2-3B-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p2-3b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p2-11b-vision-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p2-90b-vision-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-3.3-70B-Instruct
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-v3p3-70b-instruct
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-Guard-3-8B
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-guard-3-8b
   model_type: llm
 - metadata: {}
   model_id: meta-llama/Llama-Guard-3-11B-Vision
   provider_id: fireworks
-  provider_model_id: accounts/fireworks/models/llama-guard-3-11b-vision
   model_type: llm
 - metadata:
     embedding_dimension: 768
     context_length: 8192
   model_id: nomic-ai/nomic-embed-text-v1.5
   provider_id: fireworks
-  provider_model_id: nomic-ai/nomic-embed-text-v1.5
   model_type: embedding
 - metadata:
     embedding_dimension: 384