Docs fix: use model provider prefix in all examples (#806)

Author: sydney-runkle

README.md

@@ -75,7 +75,7 @@ from pydantic_ai import Agent
 
 # Define a very simple agent including the model to use, you can also set the model when running the agent.
 agent = Agent(
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     # Register a static system prompt using a keyword argument to the agent.
     # For more complex dynamically-generated system prompts, see the example below.
     system_prompt='Be concise, reply with one sentence.',

docs/agents.md

@@ -110,7 +110,7 @@ from pydantic_ai import Agent
 from pydantic_ai.exceptions import UsageLimitExceeded
 from pydantic_ai.usage import UsageLimits
 
-agent = Agent('claude-3-5-sonnet-latest')
+agent = Agent('anthropic:claude-3-5-sonnet-latest')
 
 result_sync = agent.run_sync(
     'What is the capital of Italy? Answer with just the city.',
@@ -152,7 +152,7 @@ class NeverResultType(TypedDict):
 
 
 agent = Agent(
-    'claude-3-5-sonnet-latest',
+    'anthropic:claude-3-5-sonnet-latest',
     retries=3,
     result_type=NeverResultType,
     system_prompt='Any time you get a response, call the `infinite_retry_tool` to produce another response.',

docs/index.md

@@ -53,7 +53,7 @@ Here's a minimal example of PydanticAI:
 from pydantic_ai import Agent
 
 agent = Agent(  # (1)!
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     system_prompt='Be concise, reply with one sentence.',  # (2)!
 )
 

docs/models.md

@@ -124,7 +124,7 @@ You can then use [`AnthropicModel`][pydantic_ai.models.anthropic.AnthropicModel]
 ```py title="anthropic_model_by_name.py"
 from pydantic_ai import Agent
 
-agent = Agent('claude-3-5-sonnet-latest')
+agent = Agent('anthropic:claude-3-5-sonnet-latest')
 ...
 ```
 

docs/multi-agent-applications.md

@@ -31,7 +31,9 @@ joke_selection_agent = Agent(  # (1)!
         'You must return just a single joke.'
     ),
 )
-joke_generation_agent = Agent('gemini-1.5-flash', result_type=list[str])  # (2)!
+joke_generation_agent = Agent(  # (2)!
+    'google-gla:gemini-1.5-flash', result_type=list[str]
+)
 
 
 @joke_selection_agent.tool

docs/results.md

@@ -14,7 +14,7 @@ class CityLocation(BaseModel):
     country: str
 
 
-agent = Agent('gemini-1.5-flash', result_type=CityLocation)
+agent = Agent('google-gla:gemini-1.5-flash', result_type=CityLocation)
 result = agent.run_sync('Where were the olympics held in 2012?')
 print(result.data)
 #> city='London' country='United Kingdom'
@@ -129,7 +129,7 @@ class InvalidRequest(BaseModel):
 
 Response = Union[Success, InvalidRequest]
 agent: Agent[DatabaseConn, Response] = Agent(
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     result_type=Response,  # type: ignore
     deps_type=DatabaseConn,
     system_prompt='Generate PostgreSQL flavored SQL queries based on user input.',
@@ -171,7 +171,7 @@ Example of streamed text result:
 ```python {title="streamed_hello_world.py" line_length="120"}
 from pydantic_ai import Agent
 
-agent = Agent('gemini-1.5-flash')  # (1)!
+agent = Agent('google-gla:gemini-1.5-flash')  # (1)!
 
 
 async def main():
@@ -197,7 +197,7 @@ We can also stream text as deltas rather than the entire text in each item:
 ```python {title="streamed_delta_hello_world.py"}
 from pydantic_ai import Agent
 
-agent = Agent('gemini-1.5-flash')
+agent = Agent('google-gla:gemini-1.5-flash')
 
 
 async def main():

docs/testing-evals.md

@@ -346,7 +346,7 @@ CREATE TABLE records (
 
 
 sql_agent = Agent(
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     deps_type=SqlSystemPrompt,
 )
 

docs/tools.md

@@ -25,7 +25,7 @@ import random
 from pydantic_ai import Agent, RunContext
 
 agent = Agent(
-    'gemini-1.5-flash',  # (1)!
+    'google-gla:gemini-1.5-flash',  # (1)!
     deps_type=str,  # (2)!
     system_prompt=(
         "You're a dice game, you should roll the die and see if the number "
@@ -202,12 +202,12 @@ def get_player_name(ctx: RunContext[str]) -> str:
 
 
 agent_a = Agent(
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     deps_type=str,
     tools=[roll_die, get_player_name],  # (1)!
 )
 agent_b = Agent(
-    'gemini-1.5-flash',
+    'google-gla:gemini-1.5-flash',
     deps_type=str,
     tools=[  # (2)!
         Tool(roll_die, takes_ctx=False),