feat(backend): add Perplexity Sonar models (#10326)

<!-- Clearly explain the need for these changes: -->
Adds the latest Perplexity Sonar models from OpenRouter and removes the
decommissioned Sonar Large model.

### Changes 🏗️
- Added constants for `perplexity/sonar`, `perplexity/sonar-pro`, and
`perplexity/sonar-deep-research` in the `LlmModel` enum​
- Included metadata entries for the new models
- Mapped the new models in the cost configuration with their respective
pricing tiers
- Removed the outdated Sonar Large model

### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] `poetry run format`
  - [x] `poetry run test` 

#### For configuration changes:
- [ ] `.env.example` is updated or already compatible with my changes
- [ ] `docker-compose.yml` is updated or already compatible with my
changes
- [ ] I have included a list of my configuration changes in the PR
description (under **Changes**)

autogpt_platform/backend/backend/blocks/llm.py

@@ -124,9 +124,9 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024"
     EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b"
     DEEPSEEK_CHAT = "deepseek/deepseek-chat"  # Actually: DeepSeek V3
-    PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = (
-        "perplexity/llama-3.1-sonar-large-128k-online"
-    )
+    PERPLEXITY_SONAR = "perplexity/sonar"
+    PERPLEXITY_SONAR_PRO = "perplexity/sonar-pro"
+    PERPLEXITY_SONAR_DEEP_RESEARCH = "perplexity/sonar-deep-research"
     QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview"
     NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b"
     NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b"
@@ -226,8 +226,12 @@ MODEL_METADATA = {
     LlmModel.COHERE_COMMAND_R_PLUS_08_2024: ModelMetadata("open_router", 128000, 4096),
     LlmModel.EVA_QWEN_2_5_32B: ModelMetadata("open_router", 16384, 4096),
     LlmModel.DEEPSEEK_CHAT: ModelMetadata("open_router", 64000, 2048),
-    LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: ModelMetadata(
-        "open_router", 127072, 127072
+    LlmModel.PERPLEXITY_SONAR: ModelMetadata("open_router", 127000, 127000),
+    LlmModel.PERPLEXITY_SONAR_PRO: ModelMetadata("open_router", 200000, 8000),
+    LlmModel.PERPLEXITY_SONAR_DEEP_RESEARCH: ModelMetadata(
+        "open_router",
+        128000,
+        128000,
     ),
     LlmModel.QWEN_QWQ_32B_PREVIEW: ModelMetadata("open_router", 32768, 32768),
     LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: ModelMetadata(

autogpt_platform/backend/backend/data/block_cost_config.py

@@ -84,7 +84,9 @@ MODEL_COST: dict[LlmModel, int] = {
     LlmModel.COHERE_COMMAND_R_PLUS_08_2024: 3,
     LlmModel.EVA_QWEN_2_5_32B: 1,
     LlmModel.DEEPSEEK_CHAT: 2,
-    LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: 1,
+    LlmModel.PERPLEXITY_SONAR: 1,
+    LlmModel.PERPLEXITY_SONAR_PRO: 5,
+    LlmModel.PERPLEXITY_SONAR_DEEP_RESEARCH: 10,
     LlmModel.QWEN_QWQ_32B_PREVIEW: 2,
     LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: 1,
     LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: 1,