Updated default models to GPT-5

Author: jamesbraza

README.md

@@ -451,7 +451,7 @@ asyncio.run(main())
 
 ### Choosing Model
 
-By default, PaperQA2 uses OpenAI's `gpt-4o-2024-11-20` model for the
+By default, PaperQA2 uses OpenAI's `gpt-5-2025-08-07` model for the
 `summary_llm`, `llm`, and `agent_llm`.
 Please see the [Settings Cheatsheet](#settings-cheatsheet)
 for more information on these settings.
@@ -895,9 +895,9 @@ will return much faster than the first query and we'll be certain the authors ma
 
 | Setting                                      | Default                                | Description                                                                                                                   |
 | -------------------------------------------- | -------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
-| `llm`                                        | `"claude-sonnet-4-5-20250929"`         | LLM for general use including metadata inference (see Docs.aadd) and answer generation (see Docs.aquery and gen_answer tool). |
+| `llm`                                        | `"gpt-5-2025-08-07"`                   | LLM for general use including metadata inference (see Docs.aadd) and answer generation (see Docs.aquery and gen_answer tool). |
 | `llm_config`                                 | `None`                                 | Optional configuration for `llm`.                                                                                             |
-| `summary_llm`                                | `"claude-sonnet-4-5-20250929"`         | LLM for creating contextual summaries (see Docs.aget_evidence and gather_evidence tool).                                      |
+| `summary_llm`                                | `"gpt-5-2025-08-07"`                   | LLM for creating contextual summaries (see Docs.aget_evidence and gather_evidence tool).                                      |
 | `summary_llm_config`                         | `None`                                 | Optional configuration for `summary_llm`.                                                                                     |
 | `embedding`                                  | `"text-embedding-3-small"`             | Embedding model for embedding text chunks when adding papers.                                                                 |
 | `embedding_config`                           | `None`                                 | Optional configuration for `embedding`.                                                                                       |
@@ -944,7 +944,7 @@ will return much faster than the first query and we'll be certain the authors ma
 | `prompt.summary_json_system`                 | `summary_json_system_prompt`           | System prompt for JSON summaries.                                                                                             |
 | `prompt.context_outer`                       | `CONTEXT_OUTER_PROMPT`                 | Prompt for how to format all contexts in generate answer.                                                                     |
 | `prompt.context_inner`                       | `CONTEXT_INNER_PROMPT`                 | Prompt for how to format a single context in generate answer. Must contain 'name' and 'text' variables.                       |
-| `agent.agent_llm`                            | `"claude-sonnet-4-5-20250929"`         | LLM inside the agent making tool selections.                                                                                  |
+| `agent.agent_llm`                            | `"gpt-5-2025-08-07"`                   | LLM inside the agent making tool selections.                                                                                  |
 | `agent.agent_llm_config`                     | `None`                                 | Optional configuration for `agent_llm`.                                                                                       |
 | `agent.agent_type`                           | `"ToolSelector"`                       | Type of agent to use.                                                                                                         |
 | `agent.agent_config`                         | `None`                                 | Optional kwarg for AGENT constructor.                                                                                         |

src/paperqa/settings.py

@@ -11,7 +11,7 @@
 
 import anyio
 from aviary.core import Tool, ToolSelector
-from lmi import EmbeddingModel, LiteLLMModel, embedding_model_factory
+from lmi import CommonLLMNames, EmbeddingModel, LiteLLMModel, embedding_model_factory
 from pydantic import (
     BaseModel,
     ConfigDict,
@@ -520,7 +520,7 @@ class AgentSettings(BaseModel):
     model_config = ConfigDict(extra="forbid")
 
     agent_llm: str = Field(
-        default="claude-sonnet-4-5-20250929",
+        default=CommonLLMNames.GPT_5.value,
         description="LLM inside the agent making tool selections.",
     )
 
@@ -688,7 +688,7 @@ class Settings(BaseSettings):
     model_config = SettingsConfigDict(extra="ignore")
 
     llm: str = Field(
-        default="claude-sonnet-4-5-20250929",
+        default=CommonLLMNames.GPT_5.value,
         description=(
             "LLM for general use including metadata inference (see Docs.aadd)"
             " and answer generation (see Docs.aquery and gen_answer tool)."
@@ -712,7 +712,7 @@ class Settings(BaseSettings):
         ),
     )
     summary_llm: str = Field(
-        default="claude-sonnet-4-5-20250929",
+        default=CommonLLMNames.GPT_5.value,
         description=(
             "LLM for creating contextual summaries"
             " (see Docs.aget_evidence and gather_evidence tool)."