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Changelog: Anthropic Prompt Caching + Auto-Improve #3268
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@@ -552,7 +552,7 @@ const models: TsoaRoute.Models = { | |||
// WARNING: This file was auto-generated with tsoa. Please do not modify it. Re-run tsoa to re-generate this file: https://github.com/lukeautry/tsoa | |||
"Message": { | |||
"dataType": "refAlias", | |||
"type": {"dataType":"nestedObjectLiteral","nestedProperties":{"contentArray":{"dataType":"array","array":{"dataType":"refAlias","ref":"Message"}},"image_url":{"dataType":"string"},"timestamp":{"dataType":"string"},"tool_call_id":{"dataType":"string"},"tool_calls":{"dataType":"array","array":{"dataType":"refObject","ref":"FunctionCall"}},"content":{"dataType":"string"},"role":{"dataType":"string"},"id":{"dataType":"string"},"_type":{"dataType":"union","subSchemas":[{"dataType":"enum","enums":["function"]},{"dataType":"enum","enums":["functionCall"]},{"dataType":"enum","enums":["image"]},{"dataType":"enum","enums":["message"]},{"dataType":"enum","enums":["autoInput"]},{"dataType":"enum","enums":["contentArray"]}],"required":true}},"validators":{}}, | |||
"type": {"dataType":"nestedObjectLiteral","nestedProperties":{"contentArray":{"dataType":"array","array":{"dataType":"refAlias","ref":"Message"}},"image_url":{"dataType":"string"},"timestamp":{"dataType":"string"},"tool_call_id":{"dataType":"string"},"tool_calls":{"dataType":"array","array":{"dataType":"refObject","ref":"FunctionCall"}},"content":{"dataType":"string"},"name":{"dataType":"string"},"role":{"dataType":"string"},"id":{"dataType":"string"},"_type":{"dataType":"union","subSchemas":[{"dataType":"enum","enums":["function"]},{"dataType":"enum","enums":["functionCall"]},{"dataType":"enum","enums":["image"]},{"dataType":"enum","enums":["message"]},{"dataType":"enum","enums":["autoInput"]},{"dataType":"enum","enums":["contentArray"]}],"required":true}},"validators":{}}, |
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Let's not use any please
@@ -683,6 +683,7 @@ Json: JsonObject; | |||
tool_call_id?: string; | |||
tool_calls?: components["schemas"]["FunctionCall"][]; | |||
content?: string; | |||
name?: string; |
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Let's not use any please
@@ -1129,6 +1129,7 @@ Json: JsonObject; | |||
tool_call_id?: string; | |||
tool_calls?: components["schemas"]["FunctionCall"][]; | |||
content?: string; | |||
name?: string; |
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Let's not use any please
@@ -683,6 +683,7 @@ Json: JsonObject; | |||
tool_call_id?: string; | |||
tool_calls?: components["schemas"]["FunctionCall"][]; | |||
content?: string; | |||
name?: string; |
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Let's not use any please
@@ -1129,6 +1129,7 @@ Json: JsonObject; | |||
tool_call_id?: string; | |||
tool_calls?: components["schemas"]["FunctionCall"][]; | |||
content?: string; | |||
name?: string; |
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Let's not use any please
@@ -1010,7 +1010,7 @@ const models: TsoaRoute.Models = { | |||
// WARNING: This file was auto-generated with tsoa. Please do not modify it. Re-run tsoa to re-generate this file: https://github.com/lukeautry/tsoa | |||
"Message": { | |||
"dataType": "refAlias", | |||
"type": {"dataType":"nestedObjectLiteral","nestedProperties":{"contentArray":{"dataType":"array","array":{"dataType":"refAlias","ref":"Message"}},"image_url":{"dataType":"string"},"timestamp":{"dataType":"string"},"tool_call_id":{"dataType":"string"},"tool_calls":{"dataType":"array","array":{"dataType":"refObject","ref":"FunctionCall"}},"content":{"dataType":"string"},"role":{"dataType":"string"},"id":{"dataType":"string"},"_type":{"dataType":"union","subSchemas":[{"dataType":"enum","enums":["function"]},{"dataType":"enum","enums":["functionCall"]},{"dataType":"enum","enums":["image"]},{"dataType":"enum","enums":["message"]},{"dataType":"enum","enums":["autoInput"]},{"dataType":"enum","enums":["contentArray"]}],"required":true}},"validators":{}}, | |||
"type": {"dataType":"nestedObjectLiteral","nestedProperties":{"contentArray":{"dataType":"array","array":{"dataType":"refAlias","ref":"Message"}},"image_url":{"dataType":"string"},"timestamp":{"dataType":"string"},"tool_call_id":{"dataType":"string"},"tool_calls":{"dataType":"array","array":{"dataType":"refObject","ref":"FunctionCall"}},"content":{"dataType":"string"},"name":{"dataType":"string"},"role":{"dataType":"string"},"id":{"dataType":"string"},"_type":{"dataType":"union","subSchemas":[{"dataType":"enum","enums":["function"]},{"dataType":"enum","enums":["functionCall"]},{"dataType":"enum","enums":["image"]},{"dataType":"enum","enums":["message"]},{"dataType":"enum","enums":["autoInput"]},{"dataType":"enum","enums":["contentArray"]}],"required":true}},"validators":{}}, |
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Let's not use any please
@@ -2666,6 +2666,9 @@ | |||
"content": { | |||
"type": "string" | |||
}, | |||
"name": { | |||
"type": "string" |
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Let's not use any please
Anthropic Prompt Caching Support
We now support Anthropic's Prompt Caching feature! Monitor and analyze cached prompt tokens and costs alongside regular requests through Helicone's observability tools. Enable prompt caching through your existing Anthropic integration with Helicone - no additional configuration needed.
Introducing Auto-Improve for Prompts
We're excited to launch Auto-Improve, an intelligent prompt optimization tool that helps you write more effective LLM prompts. While traditional prompt engineering requires extensive trial and error, Auto-Improve analyzes your prompts and suggests improvements instantly.
How it Works
Key Benefits
Auto-Improve is now available in beta for all Helicone users. Try it today with one of your prompts!