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Fixing ChatCompletionsClinet call (#3910)

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* Fixing ChatCompletionsClinet call

* Moving from json-object -> JsonSchemaFormat

* Regex handling

* Adding additionalProperties explicitly

* fix: ensure additionalProperties is recursive

---------

Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
This commit is contained in:
Vidit Ostwal
2025-11-29 07:03:53 +05:30
committed by GitHub
parent c59173a762
commit 37526c693b
1 changed files with 14 additions and 9 deletions
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23
lib/crewai/src/crewai/llms/providers/azure/completion.py
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@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, Any
from pydantic import BaseModel
from crewai.utilities.agent_utils import is_context_length_exceeded
from crewai.utilities.converter import generate_model_description
from crewai.utilities.exceptions.context_window_exceeding_exception import (
LLMContextLengthExceededError,
)
@@ -26,6 +27,7 @@ try:
from azure.ai.inference.models import (
ChatCompletions,
ChatCompletionsToolCall,
JsonSchemaFormat,
StreamingChatCompletionsUpdate,
)
from azure.core.credentials import (
@@ -278,13 +280,16 @@ class AzureCompletion(BaseLLM):
}
if response_model and self.is_openai_model:
params["response_format"] = {
"type": "json_schema",
"json_schema": {
"name": response_model.__name__,
"schema": response_model.model_json_schema(),
},
}
model_description = generate_model_description(response_model)
json_schema_info = model_description["json_schema"]
json_schema_name = json_schema_info["name"]
params["response_format"] = JsonSchemaFormat(
name=json_schema_name,
schema=json_schema_info["schema"],
description=f"Schema for {json_schema_name}",
strict=json_schema_info["strict"],
)
# Only include model parameter for non-Azure OpenAI endpoints
# Azure OpenAI endpoints have the deployment name in the URL
@@ -311,8 +316,8 @@ class AzureCompletion(BaseLLM):
params["tool_choice"] = "auto"
additional_params = self.additional_params
additional_drop_params = additional_params.get('additional_drop_params')
drop_params = additional_params.get('drop_params')
additional_drop_params = additional_params.get("additional_drop_params")
drop_params = additional_params.get("drop_params")
if drop_params and isinstance(additional_drop_params, list):
for drop_param in additional_drop_params: