added support for bedrock/claude3

docs/docs/usage-guide/additional_configurations.md

@@ -162,15 +162,22 @@ To use Amazon Bedrock and its foundational models, add the below configuration:
 
 ``` 
 [config] # in configuration.toml
-model = "anthropic.claude-v2"
-fallback_models="anthropic.claude-instant-v1"
+model="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
+model_turbo="bedrock/anthropic.claude-3-sonnet-20240229-v1:0"
+fallback_models=["bedrock/anthropic.claude-v2:1"]
 
 [aws] # in .secrets.toml
 bedrock_region = "us-east-1"
 ```
 
 Note that you have to add access to foundational models before using them. Please refer to [this document](https://docs.aws.amazon.com/bedrock/latest/userguide/setting-up.html) for more details.
 
+If you are using the claude-3 model, please configure the following settings as there are parameters incompatible with claude-3.
+```
+[litellm]
+drop_params = true
+```
+
 AWS session is automatically authenticated from your environment, but you can also explicitly set `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables.
 
 

pr_agent/algo/__init__.py

@@ -23,4 +23,8 @@
     'anthropic.claude-v1': 100000,
     'anthropic.claude-v2': 100000,
     'anthropic/claude-3-opus-20240229': 100000,
+    'bedrock/anthropic.claude-instant-v1': 100000,
+    'bedrock/anthropic.claude-v2': 100000,
+    'bedrock/anthropic.claude-v2:1': 100000,
+    'bedrock/anthropic.claude-3-sonnet-20240229-v1:0': 100000,
 }

pr_agent/algo/ai_handlers/litellm_ai_handler.py

@@ -36,6 +36,8 @@ def __init__(self):
             assert litellm_token, "LITELLM_TOKEN is required"
             os.environ["LITELLM_TOKEN"] = litellm_token
             litellm.use_client = True
+        if get_settings().get("LITELLM.DROP_PARAMS", None):
+            litellm.drop_params = get_settings().litellm.drop_params
         if get_settings().get("OPENAI.ORG", None):
             litellm.organization = get_settings().openai.org
         if get_settings().get("OPENAI.API_TYPE", None):
@@ -68,6 +70,7 @@ def __init__(self):
             )
         if get_settings().get("AWS.BEDROCK_REGION", None):
             litellm.AmazonAnthropicConfig.max_tokens_to_sample = 2000
+            litellm.AmazonAnthropicClaude3Config.max_tokens = 2000
             self.aws_bedrock_client = boto3.client(
                 service_name="bedrock-runtime",
                 region_name=get_settings().aws.bedrock_region,

pr_agent/settings/configuration.toml

@@ -192,7 +192,8 @@ pr_commands = [
 url = ""
 
 [litellm]
-#use_client = false
+# use_client = false
+# drop_params = false
 
 [pr_similar_issue]
 skip_comments = false

requirements.txt

@@ -9,7 +9,7 @@ GitPython==3.1.32
 google-cloud-aiplatform==1.35.0
 google-cloud-storage==2.10.0
 Jinja2==3.1.2
-litellm==1.29.1
+litellm==1.29.7
 loguru==0.7.2
 msrest==0.7.1
 openai==1.13.3