docs: Fix OCI README to use OciClientV2 and correct model names

All code examples referenced non-existent OciClient class instead of
OciClientV2, and embed model name was incorrect (embed-light-v3.0 →
embed-english-light-v3.0). Also removed false V1/V2 claim and
redundant emoji markers.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: fern-support

README.md

@@ -66,13 +66,13 @@ The SDK supports Oracle Cloud Infrastructure (OCI) Generative AI service. First,
 pip install 'cohere[oci]'
 ```
 
-Then use the `OciClient` or `OciClientV2`:
+Then use `OciClientV2`:
 
 ```Python
 import cohere
 
 # Using OCI config file authentication (default: ~/.oci/config)
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     oci_region="us-chicago-1",
     oci_compartment_id="ocid1.compartment.oc1...",
 )
@@ -90,7 +90,7 @@ print(response.embeddings)
 
 **1. Config File (Default)**
 ```Python
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     oci_region="us-chicago-1",
     oci_compartment_id="ocid1.compartment.oc1...",
     # Uses ~/.oci/config with DEFAULT profile
@@ -99,7 +99,7 @@ co = cohere.OciClient(
 
 **2. Custom Profile**
 ```Python
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     oci_profile="MY_PROFILE",
     oci_region="us-chicago-1",
     oci_compartment_id="ocid1.compartment.oc1...",
@@ -109,7 +109,7 @@ co = cohere.OciClient(
 **3. Session-based Authentication (Security Token)**
 ```Python
 # Works with OCI CLI session tokens
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     oci_profile="MY_SESSION_PROFILE",  # Profile with security_token_file
     oci_region="us-chicago-1",
     oci_compartment_id="ocid1.compartment.oc1...",
@@ -118,7 +118,7 @@ co = cohere.OciClient(
 
 **4. Direct Credentials**
 ```Python
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     oci_user_id="ocid1.user.oc1...",
     oci_fingerprint="xx:xx:xx:...",
     oci_tenancy_id="ocid1.tenancy.oc1...",
@@ -130,7 +130,7 @@ co = cohere.OciClient(
 
 **5. Instance Principal (for OCI Compute instances)**
 ```Python
-co = cohere.OciClient(
+co = cohere.OciClientV2(
     auth_type="instance_principal",
     oci_region="us-chicago-1",
     oci_compartment_id="ocid1.compartment.oc1...",
@@ -140,21 +140,21 @@ co = cohere.OciClient(
 ### Supported OCI APIs
 
 The OCI client supports the following Cohere APIs:
-- **Embed**: Full support for all embedding models (embed-english-v3.0, embed-light-v3.0, embed-multilingual-v3.0)
-- **Chat**: Full support with both V1 (`OciClient`) and V2 (`OciClientV2`) APIs
+- **Embed**: Full support for all embedding models (embed-english-v3.0, embed-english-light-v3.0, embed-multilingual-v3.0)
+- **Chat**: Full support with `OciClientV2`
   - Streaming available via `chat_stream()`
   - Supports Command-R and Command-A model families
 
 ### OCI Model Availability and Limitations
 
 **Available on OCI On-Demand Inference:**
-- ✅ **Embed models**: embed-english-v3.0, embed-light-v3.0, embed-multilingual-v3.0
-- ✅ **Chat models**: command-r-08-2024, command-r-plus, command-a-03-2025
+- **Embed models**: embed-english-v3.0, embed-english-light-v3.0, embed-multilingual-v3.0
+- **Chat models**: command-r-08-2024, command-r-plus, command-a-03-2025
 
 **Not Available on OCI On-Demand Inference:**
-- ❌ **Generate API**: OCI TEXT_GENERATION models are base models that require fine-tuning before deployment
-- ❌ **Rerank API**: OCI TEXT_RERANK models are base models that require fine-tuning before deployment
-- ❌ **Multiple Embedding Types**: OCI on-demand models only support single embedding type per request (cannot request both `float` and `int8` simultaneously)
+- **Generate API**: OCI TEXT_GENERATION models are base models that require fine-tuning before deployment
+- **Rerank API**: OCI TEXT_RERANK models are base models that require fine-tuning before deployment
+- **Multiple Embedding Types**: OCI on-demand models only support single embedding type per request (cannot request both `float` and `int8` simultaneously)
 
 **Note**: To use Generate or Rerank models on OCI, you need to:
 1. Fine-tune the base model using OCI's fine-tuning service