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feat: require LLMConfig and EmbeddingConfig to be specified for agent creation + allow multiple simultaneous provider configs for server (#1814)

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Co-authored-by: Shubham Naik <shubham.naik10@gmail.com>
Co-authored-by: Matthew Zhou <mattzh1314@gmail.com>
Co-authored-by: Matt Zhou <mattzhou@Matts-MacBook-Pro.local>
Co-authored-by: Shubham Naik <shub@memgpt.ai>
This commit is contained in:
Sarah Wooders
2024-10-04 19:35:00 -07:00
committed by GitHub
parent f9ec99b914
commit 9e4c7ad07f
31 changed files with 834 additions and 872 deletions
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4
letta/schemas/message.py
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@@ -587,8 +587,8 @@ class Message(BaseMessage):
if self.tool_calls is not None:
# NOTE: implied support for multiple calls
for tool_call in self.tool_calls:
function_name = tool_call.function["name"]
function_args = tool_call.function["arguments"]
function_name = tool_call.function.name
function_args = tool_call.function.arguments
try:
# NOTE: Google AI wants actual JSON objects, not strings
function_args = json.loads(function_args)