Update Groq documentation and examples to use preferred patching meth…

…od (#663)
jxnl · May 16, 2024 · cd5169e · cd5169e
1 parent d2648f5
commit cd5169e
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Showing 4 changed files with 5 additions and 5 deletions.
diff --git a/docs/examples/groq.md b/docs/examples/groq.md
@@ -34,7 +34,7 @@ client = Groq(
     api_key=os.environ.get('GROQ_API_KEY'),
 )
 
-client = instructor.from_groq(client, mode=instructor.Mode.JSON)
+client = instructor.from_groq(client, mode=instructor.Mode.TOOLS)
 
 resp = client.chat.completions.create(
     model="mixtral-8x7b-32768",

diff --git a/docs/hub/groq.md b/docs/hub/groq.md
@@ -32,7 +32,7 @@ Instructor's patch enhances the openai api it with the following features:
 
 ## Groq AI
 
-While Groq AI does not support function calling directly, you can still leverage the MD_JSON mode for structured outputs.
+While Groq AI does not support function calling directly, you can still leverage the TOOLS mode for structured outputs.
 
 !!! note "Getting access"
 
@@ -51,7 +51,7 @@ client = Groq(
 )
 
 # By default, the patch function will patch the ChatCompletion.create and ChatCompletion.create methods to support the response_model parameter
-client = instructor.from_groq(client, mode=instructor.Mode.JSON)
+client = instructor.from_groq(client, mode=instructor.Mode.TOOLS)
 
 
 # Now, we can use the response_model parameter using only a base model

diff --git a/examples/groq/groq_example.py b/examples/groq/groq_example.py
@@ -13,7 +13,7 @@ class Character(BaseModel):
     api_key=os.environ.get("GROQ_API_KEY"),
 )
 
-client = instructor.from_groq(client, mode=instructor.Mode.JSON)
+client = instructor.from_groq(client, mode=instructor.Mode.TOOLS)
 
 resp = client.chat.completions.create(
     model="mixtral-8x7b-32768",

diff --git a/examples/groq/groq_example2.py b/examples/groq/groq_example2.py
@@ -7,7 +7,7 @@
     api_key=os.environ.get("GROQ_API_KEY"),
 )
 
-client = instructor.from_groq(client, mode=instructor.Mode.JSON)
+client = instructor.from_groq(client, mode=instructor.Mode.TOOLS)
 
 
 class UserExtract(BaseModel):